bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multi‐preference integrated algorithm for deep learning based recommender framework
Authors: Jaishankar B. , Naveen J. , Marimuthu Balamurugan , Jayabalan Bhuvana , Mathivanan M. 
Published: August 2022

SummaryNowadays, the online recommender systems based collaborative filtering methods are widely employed to model long term user preferences (LTUP). The deep learning methods, like recurrent neural networks (RNN) have the potential to model short‐term user preferences (STUP). There is no dynamic integration of these two models in the existing recommender systems. Therefore, in this article, a multi‐preference integrated algorithm (MPIA) for deep learning based recommender framework (DLRF) is proposed to perform the dynamic integration of these two models. Moreover, the MPIA addresses improper data and to improve the performance for creating recommendations. This algorithm is depending on an enhanced long short term memory (LSTM) with additional controllers to consider relative information. Here, experiments are carried out by Amazon benchmark datasets, then obtained outcomes are compared with other existing recommender systems. From the comparison, the experimental outcomes show that the proposed MPIA outperforms existing systems under performance metrics, like area under curve, F1‐score. Consequently, the MPIA can be integrated with real time recommender systems.
Acid Enriched with Methanol: Formation of a Prebiotic Cluster in the Interstellar Medium
Authors: Ventura Elizete , Bezerra Mariana G. , Leitão Ezequiel F. V. , do Monte Silmar A. 
Published: August 2022

AbstractOrganic molecules are a potential source of prebiotic chemistry in the interstellar medium (ISM). Methanol (MetOH) is a very important source of more complex molecules. H3O+(aq) and Cl−(aq) are fundamental to living organisms and can be generated in the ISM from the dissociation of HCl with just four water molecules, yielding the (H3O)+(H2O)3Cl− ion‐pair. Here, a detailed mechanism, based on density functional theory (DFT) and ab‐initio (2nd order Mϕller‐Plesset perturbation theory, MP2) calculations, is suggested for the substitution reactions of these water molecules by MetOH. The time required for formation of an appreciable amount of the product ((H3O)+(MetOH)3Cl−) can be only few years. Such reaction can take place in Sagittarius B2, where HCl, H2O and MetOH have already been identified and it can be an important source for the formation of more complex prebiotic structures.
Microsolvation versus Encapsulation in Mono, Di, and Trivalent Cations
Authors: Flórez Elizabeth , Gómez Sara , Acelas Nancy , Hadad Cacier , Restrepo Albeiro 
Published: August 2022

AbstractThe effects of the formal charge in the stability and bonding of water cavities when solvating a cation are studied here using [X(H2O)20]q+clusters starting with the well known 512isomer of (water)20, placing a single mono, di, or trivalent Xq+cation at the interior, and then optimizing and characterizing the resulting clusters. Highly correlated interaction and deformation energies are calculated using the CCSD(T)‐DLPNO formalism. Bonding interactions are characterized using the tools provided by the quantum theory of atoms in molecules, natural bond orbitals, and non‐covalent surfaces. Our results indicate that water to water hydrogen bonds are sensibly strengthened resulting in strong cooperative effects, which amount to kcal/mol per hydrogen bond in the bare cavity and to larger values for the systems including the cations. Approximate encapsulation, that is, surrounding the cation by a network of hydrogen bonds akin to the well known methane clathrate seems to be preferred by cations with smaller charge densities while microsolvation, that is, cluster structures having explicit X⋯O contacts seem to be preferred by cations with larger charge densities which severely deform the cavity.
Probing of Local Structure in Laves Compound TbFe2
Authors: Kou Ronghui , Chang Tieyan 
Published: August 2022

AbstractThe Laves compounds Tb1‐xDyxFe2 have attracted much interest due to the giant magnetostriction effect appearing at their morphotropic phase boundary compositions. Although previous studies have established the relationship between the average structure and magnetostrictive properties in these compounds, there is a lack of characterization of their local structures. In this paper, as a first step toward this goal, the evolution of the local structure of the terminal compound (TbFe2) of this system is reported, in an attempt to provide useful information about interatomic bonding in this system. The pair distribution function (PDF) results suggest that the compound presents the rhombohedral local crystal symmetry. The lattice at the local scale shows abnormal thermal expansion which is different from the long scale structure. The different role of the Tb─Fe bond and Fe─Fe bond in affecting the crystal lattice is revealed. These findings highlight the important role of local structure in determining the magnetostrictive properties of the Laves compounds.
Spatiotemporal monitoring of the rare northern dragonhead (Dracocephalum ruyschiana, Lamiaceae) — SNP genotyping and environmental niche modeling herbarium specimens
Authors: Nygaard Malene , Kopatz Alexander , Speed James M. D. , Martin Michael D. , Prestø Tommy , Kleven Oddmund , Bendiksby Mika 
Published: August 2022

AbstractThe species we have studied the spatiotemporal genetic change in the northern dragonhead, a plant species that has experienced a drastic population decline and habitat loss in Europe. We have added a temporal perspective to the monitoring of northern dragonhead in Norway by genotyping herbarium specimens up to 200 years old. We have also assessed whether northern dragonhead has achieved its potential distribution in Norway. To obtain the genotype data from 130 herbarium specimens collected from 1820 to 2008, mainly from Norway (83) but also beyond (47), we applied a microfluidic array consisting of 96 SNP markers. To assess temporal genetic change, we compared our new genotype data with existing data from modern samples. We used sample metadata and observational records to model the species' environmental niche and potential distribution in Norway. Our results show that the SNP array successfully genotyped all included herbarium specimens. Hence, with the appropriate design procedures, the SNP array technology appears highly promising for genotyping old herbarium specimens. The captured genetic diversity correlates negatively with distance from Norway. The historical‐modern comparisons reveal similar genetic structure and diversity across space and limited genetic change through time in Norway, providing no signs of any regional bottleneck (i.e., spatiotemporal stasis). The regional areas in Norway have remained genetically divergent, however, both from each other and more so from populations outside of Norway, rendering continued protection of the species in Norway relevant. The ENM results suggest that northern dragonhead has not fully achieved its potential distribution in Norway and corroborate that the species is anchored in warmer and drier habitats.
Six years of wild bee monitoring shows changes in biodiversity within and across years and declines in abundance
Authors: Turley Nash E. , Biddinger David J. , Joshi Neelendra K. , López‐Uribe Margarita M. 
Published: August 2022

AbstractWild bees form diverse communities that pollinate plants in both native and agricultural ecosystems making them both ecologically and economically important. The growing evidence of bee declines has sparked increased interest in monitoring bee community and population dynamics using standardized methods. Here, we studied the dynamics of bee biodiversity within and across years by monitoring wild bees adjacent to four apple orchard locations in Southern Pennsylvania, USA. We collected bees using passive Blue Vane traps continuously from April to October for 6 years (2014–2019) amassing over 26,000 bees representing 144 species. We quantified total abundance, richness, diversity, composition, and phylogenetic structure. There were large seasonal changes in all measures of biodiversity with month explaining an average of 72% of the variation in our models. Changes over time were less dramatic with years explaining an average of 44% of the variation in biodiversity metrics. We found declines in all measures of biodiversity especially in the last 3 years, though additional years of sampling are needed to say if changes over time are part of a larger trend. Analyses of population dynamics over time for the 40 most abundant species indicate that about one third of species showed at least some evidence for declines in abundance. Bee family explained variation in species‐level seasonal patterns but we found no consistent family‐level patterns in declines, though bumble bees and sweat bees were groups that declined the most. Overall, our results show that season‐wide standardized sampling across multiple years can reveal nuanced patterns in bee biodiversity, phenological patterns of bees, and population trends over time of many co‐occurring species. These datasets could be used to quantify the relative effects that different aspects of environmental change have on bee communities and to help identify species of conservation concern.
Aquatic islands in the sky: 100 years of research on water‐filled tree holes
Authors: Petermann Jana S. , Gossner Martin M. 
Published: August 2022

AbstractWater‐filled tree holes are unique ecosystems that may occur high up in tree crowns and are essentially aquatic islands in the sky. Insect larvae, mesofauna, and other organisms colonize the waterbodies and feed on the accumulating detritus. Water‐filled tree holes are not only important habitats for these species but have been used as model systems in ecology. Here, we review more than 100 years of research on tree‐hole inhabiting organisms and show that most studies focus on selected or even single species (most of which are mosquitoes), whereas only few studies examine groups other than insects, especially in the tropics. Using a vote counting of results and a meta‐analysis of community studies, we show that the effects of tree‐hole size and resources on abundance and richness were investigated most frequently. Both were found to have a positive effect, but effect sizes were modulated by site‐specific environmental variables such as temperature or precipitation. We also show that parameters such as the height of the tree holes above ground, tree‐hole density, predation, and detritus type can be important drivers of organism abundance or richness but are less often tested. We identify several important research gaps and potential avenues for future research. Specifically, future studies should investigate the structure, functions, and temporal dynamics of tree‐hole food webs and their cross‐system interactions, for example, with terrestrial predators that act as a connection to their terrestrial surroundings in meta‐ecosystems. Global observational or experimental tree‐hole studies could contribute pivotal information on spatial variation of community structure and environmental drivers of community assembly. With a better understanding of these unique aquatic habitats in terrestrial ecosystems, natural and artificial tree holes can not only serve as model systems for addressing fundamental ecological questions but also serve as indicator systems of the impacts of environmental change on ecosystems.
Fabrication and characteristics of electret using fine silica powder and its application of ultrasonic sensor
Authors: Kageyama Kensuke , Kobayashi Kakeru , Kawada Yoshiaki , Sakai Takenobu 
Published: August 2022

AbstractElectrets were prepared by spin‐coating the dispersion of fine silica powders, and their charge retention characteristics were investigated. Finer silica aggregates were formed on the PTFE surface layer by spin‐coating the dispersed solution of fine silica powder than those formed by spray‐coating colloidal silica. Electrets using fine silica powder also showed better charge retention characteristics than those using colloidal silica. Such an improvement in the charge retention might be due to the suppression of discharge in the excessive gap caused by coarse silica aggregates. Then, ECSs were fabricated using the prepared electrets, and their transmitting and receiving characteristics of airborne ultrasound were also investigated. The peak sensitivity of the ECS using a spin coating of fine powdered silica dispersion was slightly improved from those using spray coating of colloidal silica. On the other hand, the peak frequency and frequency band were greatly improved using spin coating of fine powdered silica dispersion. Therefore, ECS using fine silica powder is expected to be applied as a broadband airborne ultrasonic sensor.
Diffusiophoresis of a cylindrical colloidal particle oriented parallel to an electrolyte concentration gradient field
Authors: Ohshima Hiroyuki 
Published: August 2022

AbstractWe derive the general expression for the diffusiophoretic mobility of a cylindrical particle oriented parallel to an applied electrolyte concentration gradient field in a symmetrical electrolyte solution. From the general mobility expression as combined with an approximate analytic expression with negligible error for the electric potential distribution around a cylinder, an accurate analytic mobility expression is obtained, which is applicable for arbitrary values of the particle zeta potential and the electrical double layer thickness. It is also found that the low zeta potential approximation is an excellent approximation for low‐to‐moderate values of the particle zeta potential.
Principal component analysis for river network data: Use of spatiotemporal correlation and heterogeneous covariance structure
Authors: Kim Kyusoon , Oh Hee‐Seok , Park Minsu 
Published: August 2022

AbstractSpatiotemporal measurements observed through river networks have two distinct characteristics: a spatiotemporal correlation under the flow‐connected structure and the existence of heterogeneous covariances, which require a careful approach to implement principal component analysis (PCA). This paper focuses on developing a PCA method to reflect the unique characteristics of river networks. We propose a novel method combining flow‐directed PCA and geographically weighted PCA for the domain of river networks. The strengths of our approach are that it can (i) reduce dimensionality for streamflow data while effectively removing correlation among them and (ii) identify the group structure of data. It is possible to find essential patterns and sources of variation that may not be disclosed due to the attributes of flow‐connected networks. We apply the proposed method to the daily monitoring records of total organic carbon in the Geum River catchment area in South Korea. The results show that the proposed method successfully adjusts for the topological structure of the network and temporal correlation among observations while considering the spatial heterogeneity, enabling a more concrete understanding of monitoring networks.
A companion to the preclinical common data elements and case report forms for in vivo rodent neuroimaging: A report of the TASK3‐WG3 Neuroimaging Working Group of the ILAE/AES Joint Translational Task Force
Authors: van Vliet Erwin A. , Immonen Riikka , Prager Ofer , Friedman Alon , Bankstahl Jens P. , Wright David K. , O'Brien Terence J. , Potschka Heidrun , Gröhn Olli , Harris Neil G. 
Published: August 2022

AbstractThe International League Against Epilepsy/American Epilepsy Society (ILAE/AES) Joint Translational Task Force established the TASK3 working groups to create common data elements (CDEs) for various aspects of preclinical epilepsy research studies, which could help improve the standardization of experimental designs. In this article, we discuss CDEs for neuroimaging data that are collected in rodent models of epilepsy, with a focus on adult rats and mice. We provide detailed CDE tables and case report forms (CRFs), and with this companion manuscript, we discuss the methodologies for several imaging modalities and the parameters that can be collected.
Language style matching and treatment outcome in anorexia nervosa
Authors: Schaper Rachel , Nowotny Christina , Michalek Silke , Schmidt Ulrike , Brockmeyer Timo 
Published: August 2022

AbstractObjectivePsychotherapy is the treatment of choice for anorexia nervosa (AN) but mechanisms of action are still largely unknown. Growing research suggests that synchrony between patient and therapist contributes to treatment success. Adding to this literature, this study examined the association between language style matching (LSM) among patient and therapist as an indicator of interpersonal (verbal) synchrony and treatment outcome in AN.MethodAudio recordings of mid‐treatment therapy sessions (n = 25) in a multi‐centre randomized controlled trial on the Maudsley Model of Anorexia Nervosa Treatment for Adults were transcribed and used to calculate LSM for each patient‐therapist dyad. These scores were used to predict treatment outcome at 12‐month follow‐up.ResultsLSM did not predict body mass index (primary outcome) at follow‐up. However, higher LSM (M = 0.87, SD = 0.04) was associated with lower eating disorder psychopathology (accounting for 11% of the variance) and higher recovery rates (accounting for 28% of variance) at follow‐up.ConclusionsThese preliminary findings suggest that verbal synchrony between patients with AN and their therapists contributes to favourable treatment outcomes. High levels of LSM may reflect therapeutic empathy, cooperation, or mutual positive perception. Further research should explore the mechanisms of linguistic synchrony with larger samples to allow for stronger conclusions.
A modified model‐free‐adaptive‐control‐based real‐time energy management strategy for plug‐in hybrid electric vehicle
Authors: Liu Xiaodong , Guo Hongqiang , Du Juan , Zhao Xuan 
Published: August 2022

AbstractTo further improve the energy‐saving potential and robustness of the energy management strategy (EMS) for plug‐in hybrid electric vehicles (PHEVs) in a real‐time application, this paper proposes a modified model‐free‐adaptive‐control‐based (MFAC‐based) EMS to overcome the disadvantages in our previous MFAC‐based EMS. First, the influence of external disturbance on MFAC‐based EMS is discussed, and the results show that both the vehicle velocity and load change have a significant impact on its performance. Second, a modified MFAC‐based real‐time EMS is designed based on history driving data obtained from a repeated route in which a state‐of‐charge (SOC)‐constraint‐based reference SOC planning method is firstly proposed to simultaneously consider the vehicle velocity and changing load. Then, global SOC constraints are incorporated in Pontryagin's minimum principle (PMP) to enhance the adaptive capability of the proposed method. Finally, the optimal solution of PMP (i.e., optimal constant) is deployed as a benchmark, and the performance of the modified MFAC‐based EMS (namely MFAC‐II and MFAC‐III) is in contrast to the previous one (MFAC for short) under various real‐world driving cycles. The results demonstrate that the MFAC‐III has a remarkable improvement in both economic performance and robustness. Particularly, the energy‐saving effectiveness is close to the global optimum one in some driving conditions.
In situ synthesis of heterogeneous NiSe2/MoSe2 nanocomposite for high‐efficiency electrocatalytic hydrogen evolution reaction
Authors: Dai Tian‐Jun , Sun Jian , Peng Xiao‐Shan , Gong Jiang‐Ning , Zhou Zhang‐Yu , Wang Xin‐Qiang 
Published: August 2022

AbstractDeveloping high‐efficiency electrocatalysts for hydrogen evolution reaction (HER) has been considered as a crucial way to reduce energy loss in water‐splitting. Herein, heterogeneous NiSe2/MoSe2 (H‐NiSe2/MoSe2) nanocomposite constructed by metallic NiSe2 nanocrystallites embedded in few‐layer MoSe2 nanosheets has been in situ synthesized by a simple hydrothermal reaction. As an HER electrocatalyst, it delivers superior performance with an ultra‐small onset overpotential of 103 mV, a small overpotential of 147 mV at 10 mA cm−2, a low Tafel slope of 43.5 mV dec−1, and long‐term stability up to 18 h in 0.5 M H2SO4. The superior performance for HER can be ascribed to the unique embedded nanostructure, which can not only improve the overall conductivity of the nanocomposite but also greatly increase the exposed active sites. Furthermore, the synergistic effect of NiSe2 and MoSe2 hybrid facilitates the rapid electrons transfer from the electrode to the exposed MoSe2 edges to take part in the HER reaction, and thus promotes the HER performance. This study provides a simple route for fabricating bi‐metallic selenides‐based nanocomposite as an efficient and stable electrocatalyst for HER.
Do standing trees affect landslide mobility on forested hillslopes in Japan?
Authors: Tsunetaka Haruka , Asano Shiho , Murakami Wataru 
Published: August 2022

AbstractLandslide mobility likely changes in response to the effects of standing trees on the landslide runout. However, the properties of standing trees that influence landslide runout are not well understood. In this study, the relationships between the properties of landslides and the heights of standing trees and the runout distances of rainfall‐induced landslides (primarily 101–103 m3 in volume) in the Hiroshima Prefecture, Japan, were examined to investigate whether the heights of the trees around the runout area change the landslide mobility. The results indicate that the landslide runout was constrained not only by the landslide area and volume but also by the tree height around the runout area. Tall but sparse standing trees did not prevent landslide runout, whereas dense standing trees resulted in relatively low landslide mobility, irrespective of whether the trees were broadleaf or coniferous. A comparison between our landslide inventory and previously reported landslides showed that the landslide mobility was lower in areas with standing trees than in areas without standing trees, such as under experimental conditions and for landslides in Martian and submarine environments. Therefore, differences in the heights of the trees around the runout area can result in variations in the extent of landslide‐related hazards and disturbances.
Evaluation of the effectiveness of platelet crossmatching by the solid‐phase red cell adherence assay in adult patients of a tertiary care hospital in Thailand: A retrospective study
Authors: Sinwatcharaphirom Thunnakhon , Apisawes Kusuma , Kittivorapart Janejira 
Published: August 2022

AbstractBackground and AimsPlatelet transfusion refractoriness is well aware to be associated with poor clinical outcomes. Patients with the alloantibody causing refractoriness required cross‐matched compatible products to improve the platelet number. This study aims to evaluate the effectiveness and availability of platelet crossmatching provided by the solid‐phase red cell adherence (SPRCA) technique in the context of a tertiary university hospital.MethodsA retrospective chart review was performed of the records of 214 patients with platelet refractoriness in Siriraj Hospital, a tertiary university hospital in Thailand, between January 1, 2017, and December 31, 2020.ResultsThe SPRCA technique successfully provided cross‐matched compatible platelets to 114 patients (69.7%). Platelet crossmatching significantly improved the platelet counts, as shown by the increased 1‐ and 24‐h corrected‐count increments (p< 0.0001). No acute transfusion reactions were observed in these patients. Of the 114 patients who received cross‐matched platelets, 82 patients (71.9%) survived at 30‐day posttransfusion; whereas, 16 patients (14.0%) died within 7‐day posttransfusion.ConclusionThe SPRCA method can provide a high availability rate of cross‐matched platelets, which is effective at stopping and preventing clinical bleeding conditions. This method is appropriate to apply for platelet crossmatching in the context of a hospital blood bank.