bluuebunny/crossref_metadata_2025_split huggingface dataset:
A regionally coherent ecological fingerprint of climate change, evidenced from natural history collections
Authors: Speed James D. M. , Evankow Ann M. , Petersen Tanja K. , Ranke Peter S. , Nilsen Nellie H. , Turner Grace , Aagaard Kaare , Bakken Torkild , Davidsen Jan G. , Dunshea Glenn , Finstad Anders G. , Hassel Kristian , Husby Magne , Hårsaker Karstein , Koksvik Jan Ivar , Prestø Tommy , Vange Vibekke 
Published: November 2022

AbstractClimate change has dramatic impacts on ecological systems, affecting a range of ecological factors including phenology, species abundance, diversity, and distribution. The breadth of climate change impacts on ecological systems leads to the occurrence of fingerprints of climate change. However, climate fingerprints are usually identified across broad geographical scales and are potentially influenced by publication biases. In this study, we used natural history collections spanning over 250 years, to quantify a range of ecological responses to climate change, including phenology, abundance, diversity, and distributions, across a range of taxa, including vertebrates, invertebrates, plants, and fungi, within a single region, Central Norway. We tested the hypotheses that ecological responses to climate change are apparent and coherent at a regional scale, that longer time series show stronger trends over time and in relation to temperature, and that ecological responses change in trajectory at the same time as shifts in temperature. We identified a clear regional coherence in climate signal, with decreasing abundances of limnic zooplankton (on average by 7691 individuals m−3 °C−1) and boreal forest breeding birds (on average by 1.94 territories km−2 °C−1), and earlier plant flowering phenology (on average 2 days °C−1) for every degree of temperature increase. In contrast, regional‐scale species distributions and species diversity were largely stable. Surprisingly, the effect size of ecological response did not increase with study duration, and shifts in responses did not occur at the same time as shifts in temperature. This may be as the long‐term studies include both periods of warming and temperature stability, and that ecological responses lag behind warming. Our findings demonstrate a regional climate fingerprint across a long timescale. We contend that natural history collections provide a unique window on a broad spectrum of ecological responses at timescales beyond most ecological monitoring programs. Natural history collections are thus an essential source for long‐term ecological research.
Dye solution experiments for determining solute transport behaviour in degraded wetland soils of the Yellow River Delta
Authors: Zhang Yinghu , Jiang Jiang , Zhang Zhenming , Zhang Mingxiang 
Published: November 2022

AbstractSolute transport behaviour can indicate the efficiency of eco‐hydrological responses. However, this behaviour has not been consider for use in assessing the health of wetland ecosystems. We assessed solute transport behaviour in degraded wetland soils using 72 undisturbed soil columns located in Robinia pseudoacacia (tree) and Tamarix chinensis (bush) communities. Soil column tracer experiments were conducted under the same initial and boundary conditions using Brilliant Blue FCF as a conservative tracer. Solute transport behaviour at a soil column scale was described by four measures: steady infiltration rate of effluents, concentration of effluents, dye staining patterns and cumulative effluents leaching. Numerical modelling by the dual‐permeability model in HYDRUS‐1D was used to simulate the proportion of cumulative effluents leaching from soil macropores. These data showed that steady infiltration rate of effluents at the tree site decreased with increasing soil depth (5.742, 0.716, 0.657, and 0.458 ml/min) but at the bush site first increased and then subsequently decreased with increasing soil depth (0.336, 0.548, 0.974 and 0.379 ml/min). The concentration of effluents at the tree site (0.583, 0.149, 0.147 and 0.067 g/L) and the bush site (0.281, 0.109, 0.161 and 0.053 g/L) decreased nonlinearly with increasing soil depth. Dye staining patterns were significantly different between different soil locations. The largest dark blue staining domains were from 0 to 10 cm soil depths at the tree site and 20–40 cm depths at the bush site. The proportion of cumulative effluents leaching from soil macropores ranged from 37.6% to 61.1% at the tree site and ranged from 0% to 99.9% at the bush site. Understanding the solute transport behaviour in the Yellow River Delta is the first step towards the restoration of degraded wetlands.
Blanket bog CO2 flux driven by plant functional type during summer drought
Authors: Sterk Henk Pieter , Marshall Chris , Cowie Neil R. , Clutterbuck Ben , McIlvenny Jason , Andersen Roxane 
Published: November 2022

AbstractRecent climate predictions for the United Kingdom expect a nationwide shift towards drier and warmer summers, increasing the risk of more frequent and severe drought events. Such shifts in weather patterns impede functioning of global peatlands, especially rare intact blanket bogs abundant in Scotland and representing nearly a quarter of the UK's soil carbon. In this in situ study, carbon dioxide (CO2) fluxes from dominant peatland plant functional types (PFTs) such as Sphagnum spp., graminoids, ericoids and other key cover types (i.e., pools and bare peat) were measured and compared across upland and low‐lying blanket bog margins and centres, immediately before and during a summer drought in 2018, and over the subsequent year. During that period, most sites acted as net sources of CO2 to the atmosphere. Our results showed that net ecosystem exchange (NEE) was limited by water availability during the drought, with ericoid shrubs showing the highest drought resilience, followed by graminoids (which were still limited in GPP in 2019) and Sphagnum mosses. Diverging NEE estimates were observed across centre and margin areas of the blanket bogs, with highest variability across the upland site where signs of active erosion were visible. Overall, our study suggests that estimating growing season carbon fluxes from in situ peatland PFT and cover types can help us better understand global climate change impacts on the dynamics and trajectories of peatland C cycles.
Functional consequences of brain exposure to saturated fatty acids: From energy metabolism and insulin resistance to neuronal damage
Authors: Sánchez‐Alegría Karina , Arias Clorinda 
Published: November 2022

AbstractIntroductionSaturated fatty acids (FAs) are the main component of high‐fat diets (HFDs), and high consumption has been associated with the development of insulin resistance, endoplasmic reticulum stress and mitochondrial dysfunction in neuronal cells. In particular, the reduction in neuronal insulin signaling seems to underlie the development of cognitive impairments and has been considered a risk factor for Alzheimer's disease (AD).MethodsThis review summarized and critically analyzed the research that has impacted the field of saturated FA metabolism in neurons.ResultsWe reviewed the mechanisms for free FA transport from the systemic circulation to the brain and how they impact neuronal metabolism. Finally, we focused on the molecular and the physiopathological consequences of brain exposure to the most abundant FA in the HFD, palmitic acid (PA).ConclusionUnderstanding the mechanisms that lead to metabolic alterations in neurons induced by saturated FAs could help to develop several strategies for the prevention and treatment of cognitive impairment associated with insulin resistance, metabolic syndrome, or type II diabetes.
Oxo‐bridged Tri‐ and Tetra‐nuclear Cobalt Complexes Supported with Amide‐Based Nitrogen Donor Ligands
Authors: Bansal Deepak , Yadav Samanta , Gupta Rajeev 
Published: November 2022

AbstractThis work presents two mixed‐valent μ3‐oxo‐bridged trinuclear [(Co2+)2Co3+] complexes 1 and 2 and a μ4‐oxo‐bridged tetranuclear [Co2+4] complex 3. Crystal structures of 1 and 2 showed the presence of triangular complexes having two Co2+ and one Co3+ centers bridged by a μ3‐oxo group. In contrast, complex 3 exhibited a tetrahedrally arranged μ4‐oxo‐bridged [Co2+4] core. A significant feature is the stabilization of unusual μ‐oxo‐bridged complexes exclusively supported with all nitrogen donor ligands. The X‐ray photoelectron spectroscopy confirmed the multiple oxidation states of cobalt ions in these complexes. Such oxo‐bridged cobalt complexes were investigated for their catalytic activity towards H2O2‐mediated oxidation of assorted benzyl alcohols.
Owning leads to valuing: Meta‐analysis of the mere ownership effect
Authors: Białek Michał , Gao Yajing , Yao Donna , Feldman Gilad 
Published: November 2022

AbstractMere ownership effect is the phenomenon that people tend to value what they own more than what they do not own. This classic effect is considered robust, yet effect sizes vary across studies, and the effect is often confused for or confounded with other classic phenomena, such as endowment or mere exposure effects. We conducted a pre‐registered meta‐analysis of 26 samples published before 2019 (N = 3024), which resulted in psychological ownership on valuing effect of g ∼ 0.57 [0.46, 0.69]. Suggestive moderator analyses supported the use of replica as the strongest moderators. Mere ownership effects were different from the null across all moderator categories and in most publication bias adjustments. We consider this as suggestive evidence that psychological owning leads to valuing, yet caution that much more research is needed. All materials, data, and codes are available on https://osf.io/fdyqw/.
Microwave‐assisted exfoliation of graphite using 1‐allyl‐pyridinium‐based ionic liquids and application to solid acid catalysts
Authors: Higai Daisuke , Kim Kihoon , Lee Changmin , Qian Eika W. 
Published: November 2022

AbstractA novel, eco‐friendly direct graphite exfoliation method was developed using 1‐allyl‐pyridinium‐based ionic liquids (ILs) under microwave irradiation. Exfoliated graphene comprising a few layers was prepared from graphite using 1‐allyl‐pyridinium nitrate under 300 W microwave irradiation for 10 min, which was characterized by X‐ray diffraction, Raman spectroscopy, and X‐ray photoelectron spectroscopy. Density functional theory calculations indicated that the combination of the cations and anions in the ILs led to improved adsorption on the graphite surface. High‐power microwave irradiation can also allow cations to intercalate easily between the graphite layers and increase the efficiency of graphite exfoliation. Solid acid catalysts were prepared from exfoliated graphene via oxidation and sulfonation. The catalytic activity was evaluated for the saccharification of cellulose, where the highest monosaccharide yield of 15.9% was obtained after 24 h at 140°C with a cellulose/solid acid catalyst/water ratio of 0.1/0.05/3 (g/g/g). This performance was superior to that of several commercial catalysts. The magnetic solid acid catalyst which was prepared to facilitate separation from cellulose residue showed constant durability in three activity tests.
Techno‐economic studies on the variable compression ratio dual fuel diesel‐producer gas CI engine utilizing different biomass feedstocks
Authors: Percy A. Jemila , Edwin M. 
Published: November 2022

AbstractIn this study, a techno‐economic analysis for a 3.75 kW biomass gasification power generation system (BMPGS) was conducted by exploiting available biomass resources such as rice husk, coconut shell, and rubber shell as feedstock. Payback time (PBT), net present value (NPV), and life cycle cost are the economic criteria that are delivered by an economic model for a BMPGS. Experimental results obtained on the technical parameters of a BMPGS, show that the rubber shell operated BMPGS has the highest overall efficiency (15.5%), maximum diesel savings (48%), and least biomass consumption (3.3 kg/h). Even though the capital cost of the producer gas driven dual fuel CI engine is higher than the standalone diesel genset power production system, it has the lowest running cost and cost savings per year, making it an excellent choice for power generation in remote locations. The rubber shell operated BMPGS system show a minimum PBT of 2.9 years which is desirable as the cost for installation of the proposed system can be regained within a short period of time. A positive NPV of Rs. 3,90,000 is attained for rubber shell, which clearly indicates in acceptance of rubber shell as biomass feedstock for BMPGS. The sensitivity analysis proves that the uncertainty in input parameters such as the cost of a biomass gasifier, dual fuel VCR engine, labor cost, and the cost of biomass feedstock influence the output parameters of the capital cost, operating cost, and PBT.
Optimal design of a novel hybrid solar tower‐gas turbine combined cycle with proton exchange membrane polygeneration system: Application of machine learning
Authors: Khoshgoftar Manesh Mohammad Hasan , Abbasi Narges , Mehrabian Mohammad Javad 
Published: November 2022

AbstractAn innovative polygeneration system is proposed to generate power, heat, hydrogen, and oxygen simultaneously. The system integrates a solar central tower system and the heliostat field, a gas turbine cycle, a supercritical carbon dioxide cycle, an Organic Rankine Cycle with a cyclopentane working fluid, and a Rankine steam cycle, and a Proton Exchange Membrane electrolyzer. In this study, to reduce the gas cycle fuel consumption, the solar tower system is integrated with the gas cycle. In the studied system, a Supercritical Carbon Dioxide cycle and an Organic Rankine Cycle have been used to heat recovery of the exhaust gases of the gas turbine. In addition, Energy, Exergy, Exergoeconomic, Exergoenvironmental, Emergoeconomic, and Emergoenvironmental analyses have been performed for this system hour by hour. A computer code was developed in MATLAB for these analyses, and the results are validated by simulation in Thermoflex software and primary references with high accuracy. A systematic approach based on thermodynamic analysis and a combination of Genetic Programming and Artificial Neural Networks is proposed for optimal design. Multi‐Objective Genetic Optimization has been employed to find optimum design parameters. Due to the reduction of computation time of optimization, the integration of Genetic Programming and Artificial Neural networks have been employed to generate correlations for objective functions based on the decision variables. By adding the solar system, the mass flow rate of natural gas consumption in the gas cycle decreases by about 9% and reaches 1.53 kg/s. Utilizing solar energy and the Rankine steam cycle, the production capacity of the considered cycle increases from 43 to 66 MW. Also, the performance analysis of the Proton Exchange Membrane electrolyzer and the primary cycle shows that this equipment can produce 0.01 g/s of hydrogen from 5 g/s of water entering the equipment per second by consuming 2.33 kW of power. The results show that when the decision variables are considered at the optimal performance point, the exergy efficiency, the total cost, the rate of destruction related to environmental impacts, cost based on emergy, and the rate of destruction environmental effects based on energy improve. The highest percentage of improvement among the objective functions compared to the initial state is related to the exergy efficiency with 46%, and then the environmental impact rate based on emergy with an improvement of 36%.
Effect of inherent oxygen mass fraction of alcohol blends with diesel on combustion and emission parameters
Authors: Sahu Tomesh Kumar , Shukla Pravesh Chandra 
Published: November 2022

AbstractIncreasing air pollution and implementation of stricter emission regulations led to the research for the clean combustion concept of combustion engines. To resolve this concern, it is important to look for a clean and stable combustion concept that can adapt easily to an old existing engine as well as newer engines. The present study was performed to investigate the combustion stability and emission for blends of methanol (M), ethanol (E), and butanol (B) to evaluate the effect of their inherent oxygen content. Alcohol blends were prepared for two different oxygen mass fractions of 2.5% and 5% oxygen, m/m (defined as M2.5, E2.5, B2.5 and M5, E5, B5). For this, different volume fraction of respective alcohol was required (M2.5 and M5 contained 5.2% and 10.3% methanol respectively, E2.5 and E5 contained 7.4% and 14.8% ethanol respectively, B2.5 and B5 contained 11.7% and 23.3% butanol respectively). Detailed combustion analysis was performed for the alcohol blends (2.5% and 5% oxygen mass fraction) using the parameters like cycle‐to‐cycle analysis, coefficient of variation, combustion phasing etc. M5 showed the better stable combustion considering the lowest coefficient of variation for CA50 and indicated mean effective pressure. Moreover, the performance of E5 showed improved efficiency with brake thermal efficiency (BTE) of 27.94% and reduced brake specific fuel consumption. Significant reductions in hydrocarbon (HC), smoke and carbon dioxide (CO2) emissions were recorded for 2.5% and 5% oxygenated condition. M5 showed lowest emission level among tested fuel with 20% lower oxide of nitrogen (NO) and 50% lower HC.
State‐of‐health estimation for lithium‐ion batteries based on partial charging segment and stacking model fusion
Authors: Xu Jinli , Liu Baolei , Zhang Guangya , Zhu Jiwei 
Published: November 2022

AbstractState‐of‐health (SOH) estimation is essential for evaluating the aging process of lithium‐ion batteries, which can effectively guarantee the steady application of the battery system. Most existing prediction approaches apply a single model or a single feature to achieve SOH estimation based on the entire charging curve. In this paper, a multifeature‐based stacked ensemble learning framework is proposed for SOH prediction using partial charging curves. Firstly, combined with the range of state‐of‐charge (SOC) commonly used in the actual operation of vehicles, the charging segment is effectively intercepted through the mapping correlation between the SOC and the terminal voltage. Then, five relevant features characterizing the battery health status are extracted from multiple data, such as temperature, voltage, and incremental capacity profiles. Finally, a two‐level stacking ensemble framework is developed to fuse several individual estimation methods for higher SOH accuracy. To validate the performance of the proposed method, the Oxford University data set and the NASA data set are deployed for comparison experiments, and the results reveal the superior precision and robustness of the developed model in SOH estimation.
Limited sex differences in plastic responses suggest evolutionary conservatism of thermal reaction norms: A meta-analysis in insects
Authors: Teder Tiit , Taits Kristiina , Kaasik Ants , Tammaru Toomas 
Published: November 2022

AbstractTemperature has a profound effect on the growth and development of ectothermic animals. However, the extent to which ecologically driven selection pressures can adjust thermal plastic responses in growth schedules is not well understood. Comparing temperature-induced plastic responses between sexes provides a promising but underexploited approach to evaluating the evolvability of thermal reaction norms: males and females share largely the same genes and immature environments but typically experience different ecological selection pressures. We proceed from the idea that substantial sex differences in plastic responses could be interpreted as resulting from sex-specific life-history optimization, whereas similarity among the sexes should rather be seen as evidence of an essential role of physiological constraints. In this study, we performed a meta-analysis of sex-specific thermal responses in insect development times, using data on 161 species with comprehensive phylogenetic and ecological coverage. As a reference for judging the magnitude of sex specificity in thermal plasticity, we compared the magnitude of sex differences in plastic responses to temperature with those in response to diet. We show that sex-specific responses of development times to temperature variation are broadly similar. We also found no strong evidence for sex specificity in thermal responses to depend on the magnitude or direction of sex differences in development time. Sex differences in temperature-induced plastic responses were systematically less pronounced than sex differences in responses induced by variations in larval diet. Our results point to the existence of substantial constraints on the evolvability of thermal reaction norms in insects as the most likely explanation. If confirmed, the low evolvability of thermal response is an essential aspect to consider in predicting evolutionary responses to climate warming.
Lactiplantibacillus plantarum X7022 ameliorates loperamide‐induced constipation and modulates gut microbiota in mice
Authors: Chen Xingye , Liu Guang , Zhao Li , Du Lei , Xie Jingli , Wei Dongzhi 
Published: November 2022

AbstractLactiplantibacillus plantarum X7022 is a novel strain isolated from stinky tofu brine. Its constipation amelioration potential was evaluated on two different constipation types (acute and subacute) in mice induced by loperamide hydrochloride in present work. L. plantarum X7022 could significantly decrease the first black stool defecation time, and increase black fecal weight, number, and the gastrointestinal transit ratio in both models. High‐dose treatment of L. plantarum X7022 (2 × 1010 CFU/kg BW) was more significant in improving constipation condition than low‐dose (2 × 107 CFU/kg BW). Furthermore, 16S rDNA sequencing of the intestinal flora showed that the treatment with the strain X7022 could increase the α diversity in both constipation models. Meanwhile, the abundance of Bacteroidetes increased, and Firmicutes decreased, which was more effective in acute constipated mice. In addition, X7022 treatment could enhance the relative abundance of beneficial flora, such as Bacteroides, Ruminococcus, and depressed Adlercreutzia and Odoribacter in acute model mice. In subacute constipated mice, X7022 treatment could enhance Alloprevotell, Rikenellaceae_RC9, and decreased Lachnospiraceae_NK4A136 and Desulfovibrio. Therefore, L. plantarum X7022 is a prospect probiotic strain for the amelioration of constipation.