bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of food stimuli and fasting on cognitive control in task switching
Authors: Maydych Viktoria , Pöschel Hanna , Kübler Sebastian , Schubert Torsten 
Published: October 2023

AbstractPrevious research demonstrated motivation-control interactions in task switching. However, motivational effects on switch costs have been mostly examined using monetary rewards. Here, we investigated whether stimulus material linked to food and fasting affect control processes in task switching. We predicted that switching to the task comprising food stimuli would be facilitated, which should result in lower switch costs for this task, and that these effects would be stronger with higher motivational salience of the food stimuli, i.e. in hungry individuals and/or individuals with restrictive eating. Participants switched between categorising food items as sweet or savoury and digits as odd or even in two task-switching paradigms: an alternating runs and a voluntary task switching. Hunger was induced by 14 h fasting in the experimental compared to the control group. Results showed lower switch costs for the motivational-affective food task in both task-switching paradigms and in both groups. Switch costs for the neutral digit task were significantly higher in the fasting group compared to the control group in alternating runs task switching only. Individual differences in restrictive eating were related negatively but not significantly to the size of the switch costs. All in all, the results demonstrate an impact of motivational-affective stimuli on cognitive control in task switching and suggest a potential modulatory role of motivational states, though the findings need to be replicated.
Gesture production at encoding supports narrative recall
Authors: Sweller Naomi , Choi Alexander-Jaehyuk , Austin Elizabeth 
Published: October 2023

AbstractExisting research is inconsistent regarding the effects of gesture production on narrative recall. Most studies have examined the effects of gesture production during a recall phase, not during encoding, and findings regarding gesture’s effects are mixed. The present study examined whether producing gestures at encoding could benefit an individual’s narrative recall and whether this effect is moderated by verbal memory and spatial ability. This study also investigated whether producing certain types of gesture is most beneficial to recalling details of a narrative. Participants read a narrative aloud while producing their own gestures at pre-specified phrases in the narrative (Instructed Gesture condition), while placing both their hands behind their backs (No Gesture condition) or with no specific instructions regarding gesture (Spontaneous Gesture condition). Participants completed measures of spatial ability and verbal memory. Recall was measured through both free recall, and specific recall questions related to particular phrases in the narrative. Spontaneous gesture production at encoding benefited free recall, while instructed gestures provided the greatest benefit for recall of specific phrases where gesture had been prompted during encoding. Conversely, for recall of specific phrases where gesture had not been prompted during encoding, instructions to either gesture or not gesture suppressed recall for those higher in verbal memory. Finally, producing iconic and deictic gestures provided benefits for narrative recall, whilst beat gestures had no effect. Gestures play an important role in how we encode and subsequently recall information, providing an opportunity to support cognitive capacity.
Characterization of pore space in Permo-Triassic sandstone from SW-Germany using the anisotropy of magnetic susceptibility
Authors: Kontny Agnes , Busch Benjamin , Schenk Julius , Khasanov Ilnar 
Published: October 2023

AbstractPore space in siliciclastic rocks is one of the most important petrophysical properties in geothermal and hydrocarbon reservoir rock characterization. We used the anisotropy of magnetic susceptibility (AMS) of ferrofluid-impregnated Permo-Triassic sandstones of different Buntsandstein and Rotliegend facies as a proxy for pore space anisotropy and preferred flow direction as a case study for reservoir characterization. We compared the calculated ferrofluid porosity (2–21%) with He porosity (2–26%) and permeability (0.002–214 mD) and described the sediment microstructure using petrographic point-counting analysis. For water- and oil-based ferrofluid impregnation, we observed a positive correlation with He porosity and mass and susceptibility impregnation efficiency were used to control the quality of the impregnation process. Triaxial to oblate magnetic rock fabrics were mostly mimicked by the magnetic pore fabrics, except for some of the water-based ferrofluid impregnated samples, where magnetic ellipsoid shapes changed from oblate to prolate. AMS of the unimpregnated sandstones reflects well defined primary sedimentary to diagenetic fabrics with grain imbrication and cross bedding along with more laminated sedimentary structures. Deviation in ferrofluid-impregnated AMS axes orientation can be related either to the low anisotropy < 1.07 in sandstones from the Lower and Upper Buntsandstein, or the low impregnation efficiency. The mimicry is mostly better when the magnetic susceptibility of the sandstone is higher due to a higher concentration of phyllosilicates while micro-porosity is controlled by the clay fabric. A comparison of sediment petrography with magnetic pore fabrics suggests that the pore space is controlled by the bedding of the sandstones with mostly no preferred flow direction within the bedding plane.
Graphical Abstract
Interpretation of spring-water temperature variability based on continuous monitoring and numerical modelling of heat transport and water mixing: case study of Czarny Potok spring, Pieniny Mountains, southern Poland
Authors: Gruszczyński Tomasz , Szostakiewicz-Hołownia Marzena , Zaszewski Daniel 
Published: October 2023

AbstractA numerical model of heat conduction and water mixing was developed, enabling a quantitative description of water temperature variability at a spring outflow. The study examined the Czarny Potok spring, located in the Pieniny Mountains of southern Poland, which was the subject of a 4-year series of water temperature observations. The presented model describes the soil and water environment in the immediate vicinity of the spring, assuming that the spring water temperature is shaped by the mixing of water flowing through the shallow zone that experiences seasonal fluctuation and the deeper neutral zone. It was also assumed that the conductive heat flow in the tested medium is conditioned by seasonal heating and cooling of the land surface. The thermal diffusivity of the bedrock was calculated on the basis of the phase shift and the attenuation of thermal amplitude at different depths, based on long-term monitoring of soil temperature. The heat conduction and water mixing models enabled calculation of the water temperature at the outflow. The obtained results are close to the empirical spring water temperatures. The estimated mean error was 0.075 °C and the mean absolute error was 0.188 °C. The results of the calculations suggest that the tested spring is recharged primarily by water flowing through the seasonal fluctuation zone (75%), while the remaining 25% captures a deeper circulation system associated with the neutral zone.
Rice husk fibers and their extracted silica as promising bio-based fillers for EPDM/NBR rubber blend vulcanizates
Authors: Eissa Mohamed M. , Botros Samir H. , Diab Mohamed , Shafik Emad S. , Rozik Nehad N. 
Published: October 2023

AbstractBio-based natural wastes could be considered eco-friendly alternatives to conventional fillers for enhancing the properties and reducing the cost of final rubber products. Thus, in the present research, EPDM/NBR rubber blend composites filled with kaolin and mixed with rice husk fibers (RHFs) were prepared. Homogeneity of the EPDM/NBR blends was improved by the incorporation of maleic anhydride (MAH) as a compatibilizing agent (1 phr), as evidenced by scanning electron microscopy (SEM). Of all EPDM/NBR blend ratios investigated, the 25/75 blend revealed good mechanical properties, thermal stability, and the least weight swell at equilibrium (Q%) in motor oil and brake fluid. EPDM/NBR/kaolin (25/75/30) blend vulcanizates containing RHFs at various loadings demonstrated a significant improvement in swelling resistance, primarily in motor oil and brake fluid, accompanied by a slight reduction in the mechanical properties at high RHFs content. That was complemented by the enhancement of thermal stability of the rubber blends, as demonstrated by TGA analysis. Among the filler types investigated (RHFs, silica ash (SA), rice husk silica (RHS), and kaolin), RHFs exhibited the best swelling resistance of the composite vulcanizates in motor oil and brake fluid. In addition, RHS could be used successfully as a supporting filler for carbon black-reinforced EPDM/NBR composite vulcanizates because it enhanced their thermal stability and swelling resistance in the motor oil.
Graphical Abstract
Three-Dimensional Analysis of Porosity in As-Manufactured Glass Fiber/Vinyl Ester Filament Winded Composites Using X-Ray Micro-Computed Tomography
Authors: Srivastava Chaman , Agostino Pietro , Stamopoulos Antonios G. , Alcock Ben , Strandlie Are , Grammatikos Sotirios 
Published: October 2023

AbstractFilament winding is a technique to manufacture tubular composite structures and, therefore, is among the most appealing techniques for fabricating critical structures such as hollow tubes. Despite the recent advances, these structures are prone to a varying degree of porosity that may affect their mechanical performance. Therefore, the accurate detection and quantification of the manufacturing porosity is crucial. Micro-CT is most suitable for performing this activity at various scales. This work employs micro-CT for studying porosity inside an as-manufactured filament-winded composite structure. Void characteristics like volume, orientation, size, and relative volume fraction inside the hoop and helical layers are quantified inside a representative curved panel extracted from a glass fiber-vinyl ester tubular composite structure, which has not been studied in detail previously. It was observed that most voids are present in the matrix region. The voids are elliptical rod-like and spherical, with the latter present in the helical layers, which also host the majority of voids and the highest void volume fractions. The voids are highly aligned along the fiber orientation direction with higher misorientations for helical layers than the hoop layer. Large voids in base layers were created due to gaps formed during the winding process. Hence, the main goal of this study is to measure the voids' characteristics and the volumetric fraction during the stacking of filament wound hoop and helical layers during a generic filament winding pattern. The data can be further exploited as input for modeling filament winded composites in the presence of voids by researchers.
On the fragility of the Italian economic territories under SARS-COV2 lockdown policies
Authors: Giansante Simone , Flori Andrea , Spelta Alessandro 
Published: October 2023

AbstractWe leverage a granular representation of mobility patterns before and during the first wave of SARS-COV2 in Italy to investigate the economic consequences of various forms of lockdown policies when accounting for mobility restrictions between and within local jurisdictions, i.e. municipalities, provinces and regions. We provide an analytical characterization of the rate of economic losses using a network-based spectral method. The latter treats the spread of contagion of economic losses due to commuting restrictions as a dynamical system stability problem. Our results indicate that the interplay between lower level of smartworking and the polarization of commuting flows to fewer local labor hubs in the South of Italy makes Southern territories extremely important in spreading economic losses. We estimate an economic contraction of total income derived from commuting restrictions in the range of 10–30% depending on the economic assumptions. However, alternative policies proposed during the second wave of SARS-COV2 can pose a greater risk to Northern areas due to their higher degree of mobility between jurisdictions than Southern ones. The direction of economic losses tend to propagate from large to medium-small jurisdictions across all alternative lockdown policies we tested. Our study shows how complex mobility patterns can have unequal consequences to economic losses across the country and call for more tailored implementation of restrictions to balance the containment of contagion with the need to sustain economic output.
Cross-border impacts of climate change affect the energy transition: Insights from the Finnish energy sector
Authors: Groundstroem Fanny 
Published: October 2023

AbstractThe world is currently in the midst of an energy transition, in which renewable and low-carbon energy is replacing the use of fossil fuels. Along the way, however, planning for and adapting to impacts of climate change is urgently needed, as these are projected to intensify in the future, despite ambitious mitigation efforts. Since the low-carbon energy transition is likely to involve many international interdependencies and connections between countries and regions, assessments of cross-border impacts of climate change, i.e., consequences of climate change that occur remotely from the location of their initial impact, are of utmost importance to ensure the decarbonisation of society is safe and sustainable. This paper utilises expert interviews and a general morphological analysis with the shared socioeconomic pathways to situate national decarbonisation efforts within a global context and identify cross-border impacts of climate change that may affect the energy transition, using the Finnish energy sector as a case study. Interestingly, many of the global development trends that were found to have a boosting effect on the Finnish energy transition, also increased the risk from cross-border climate change impacts, stressing the importance of rigorous adaptation planning. The findings affirm the need for studying national energy transitions from a global perspective and highlight the tendency of climate change impacts to be transmitted across borders via complex pathways. The study offers valuable insights into the importance of cross-border impacts for adaptation planning pertinent to any country or region currently engaged, or planning to engage, in the global low-carbon transition.
The Hooded Capuchin Monkey (Sapajus cay) is Vulnerable in Paraguay and at Least Near Threatened Globally According to Red List Criteria
Authors: Smith Rebecca L. , Lusseau David 
Published: October 2023

AbstractHabitat loss and fragmentation, particularly because of agrarian and urban expansions, are threatening biodiversity worldwide. Paraguay is predicted to lose all its primary moist forests by 2028. The most endangered habitat in Paraguay is the Upper Paraná Atlantic Forest (BAAPA), which has been decimated by industrial agriculture in the past 60 years. The hooded capuchin (Sapajus cay) is the best-known Paraguayan primate and the only species mostly restricted to the remaining BAAPA. We used local (defined as people living in Paraguay) knowledge about the known presence of the species in a habitat fragment to assess whether species’ presence was associated with forest cover in fragments by using a binomial general linear model (GLM). Using the results of the GLM, we then assessed how forest cover changed through the hooded capuchin range and its predicted range in Paraguay using Global ForestWatch forest cover prediction for 2000 to 2019. The GLM showed that the presence of hooded capuchins required predominance of forest cover with the monkey being 80% likely to be present for 56% cover and 90% for 70% cover. The capuchin has lost 23% of highly suitable habitat across its whole range and 58% in Paraguay. Suitable habitat for hooded capuchin monkeys is, therefore, decreasing across the full extent of the species. In Paraguay, the remaining habitat is being fragmented and degraded and distance between fragments is increasing. Because the situation in Paraguay is critical, we recommend that the capuchin is classified as Vulnerable by the International Union for the Conservation of Nature and Natural Resources (IUCN) Red List at a national level under criterion B1, b(i), b(ii), and b(iii). Predictions across the species range warrant at least a classification of Near Threatened for the species. These results demonstrate that the conservation situation faced by a primate species can differ greatly depending on local, national, and range wide political and social situations. Therefore, we recommend that national assessments are performed for species that are found in multiple countries in order to gain a true picture of threats a species faces.
Multi-camera trajectory matching based on hierarchical clustering and constraints
Authors: Szűcs Gábor , Borsodi Regő , Papp Dávid 
Published: October 2023

AbstractThe fast improvement of deep learning methods resulted in breakthroughs in image classification, object detection, and object tracking. Autonomous driving and traffic monitoring systems, especially the on-premise installed fixed position multi-camera configurations, benefit greatly from recent advances. In this paper, we propose a Multi-Camera Multi-Target (MCMT) vehicle tracking system using a constrained hierarchical clustering solution, which improves trajectory matching, and thus provides a more robust tracking of objects transitioning between cameras. YOLOv5, ByteTrack, and ResNet50-IBN ReID networks are used for vehicle detection and tracking. Static attributes such as vehicle type and vehicle color are determined from ReID features with SVM. The proposed ReID feature-based attribute categorization shows better performance, than its pure CNN counterpart. Single-camera trajectories (SCTs) are combined into multi-camera trajectories (MCTs) using hierarchical agglomerative clustering (HAC) with time and space constraints (our proposed algorithm is denoted by MCT#MAC). Similarities between SCTs are measured by comparing the mean ReID features cumulated on the trajectory. The system was evaluated on more datasets, and our experiments demonstrate that constraining HAC by manipulating the proximity matrix greatly improves the multi-camera IDF1 score.
Irony and sentiment in the literary field: Prešeren’s sonnets and the Slovenian alphabet-censorship war
Authors: Juvan Marko 
Published: October 2023

AbstractRestoration censorship forced European Romantic literature to retreat from society and politics into subjective intimacy, fantasy, mythology, history, and exotic places. In addition to conforming to restrictions, however, censorship also led writers to evade its control (pseudonyms, publication abroad, allusive style) and, more rarely, to overt or covert rebellion (petitions, satire, etc.). An example of this is the German sonnets written by the Slovenian romanticist France Prešeren in the mid-1830s as a poetic response to the public controversy over the cultural strategies of national revival (the so-called Slovenian ABC war) and the behind-the-scenes struggles over the censorship of the poetry almanacKrajnska čbelica(Carniolan Bee). With their illocutionary force, Prešeren’s sonnets are directed against prominent collaborators of censorship and the centers of ecclesiastical and secular power that wanted to keep the embrionic Slovenian literary field under their control. These poems move between satirical irony and sentiment, between the fictional suspension of dominant positions in the field and the search for sympathy for the depressing lack of consecration. The satire against the censors of his elegy dedicated to Matija Čop stands out with its acrostic and the affect of rage.
Hyperspectral imaging for estimating leaf, flower, and fruit macronutrient concentrations and predicting strawberry yields
Authors: Dung Cao Dinh , Trueman Stephen J. , Wallace Helen M. , Farrar Michael B. , Gama Tsvakai , Tahmasbian Iman , Bai Shahla Hosseini 
Published: October 2023

AbstractManaging the nutritional status of strawberry plants is critical for optimizing yield. This study evaluated the potential of hyperspectral imaging (400–1,000 nm) to estimate nitrogen (N), phosphorus (P), potassium (K), and calcium (Ca) concentrations in strawberry leaves, flowers, unripe fruit, and ripe fruit and to predict plant yield. Partial least squares regression (PLSR) models were developed to estimate nutrient concentrations. The determination coefficient of prediction (R2P) and ratio of performance to deviation (RPD) were used to evaluate prediction accuracy, which often proved to be greater for leaves, flowers, and unripe fruit than for ripe fruit. The prediction accuracies for N concentration were R2P = 0.64, 0.60, 0.81, and 0.30, and RPD = 1.64, 1.59, 2.64, and 1.31, for leaves, flowers, unripe fruit, and ripe fruit, respectively. Prediction accuracies for Ca concentrations were R2P = 0.70, 0.62, 0.61, and 0.03, and RPD = 1.77, 1.63, 1.60, and 1.15, for the same respective plant parts. Yield and fruit mass only had significant linear relationships with the Difference Vegetation Index (R2 = 0.256 and 0.266, respectively) among the eleven vegetation indices tested. Hyperspectral imaging showed potential for estimating nutrient status in strawberry crops. This technology will assist growers to make rapid nutrient-management decisions, allowing for optimal yield and quality.
A variant in the 5′UTR of ERBB4 is associated with lifespan in Golden Retrievers
Authors: Rebhun Robert B. , York Daniel , De Graaf Flora M. D. , Yoon Paula , Batcher Kevin L. , Luker Madison E. , Ryan Stephanie , Peyton Jamie , Kent Michael S. , Stern Joshua A. , Bannasch Danika L. 
Published: October 2023

AbstractGenome-wide association studies (GWAS) in long-lived human populations have led to identification of variants associated with Alzheimer’s disease and cardiovascular disease, the latter being the most common cause of mortality in people worldwide. In contrast, naturally occurring cancer represents the leading cause of death in pet dogs, and specific breeds like the Golden Retriever (GR) carry up to a 65% cancer-related death rate. We hypothesized that GWAS of long-lived GRs might lead to the identification of genetic variants capable of modifying longevity within this cancer-predisposed breed. A GWAS was performed comparing GR dogs ≥ 14 years to dogs dying prior to age 12 which revealed a significant association to ERBB4, the only member of the epidermal growth factor receptor family capable of serving as both a tumor suppressor gene and an oncogene. No coding variants were identified, however, distinct haplotypes in the 5′UTR were associated with reduced lifespan in two separate populations of GR dogs. When all GR dogs were analyzed together (n = 304), the presence of haplotype 3 was associated with shorter survival (11.8 years vs. 12.8 years, p = 0.024). GRs homozygous for haplotype 3 had the shortest survival, and GRs homozygous for haplotype 1 had the longest survival (11.6 years vs. 13.5 years, p = 0.0008). Sub-analyses revealed that the difference in lifespan for GRs carrying at least 1 copy of haplotype 3 was specific to female dogs (p = 0.009), whereas survival remained significantly different in both male and female GRs homozygous for haplotype 1 or haplotype 3 (p = 0.026 and p = 0.009, respectively). Taken together, these findings implicate a potential role for ERBB4 in GR longevity and provide evidence that within-breed canine lifespan studies could serve as a mechanism to identify favorable or disease-modifying variants important to the axis of aging and cancer.