bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiple psychological characteristics predict housing mortgage loan behavior: A holistic model based on machine learning
Authors: Gui Wenjing , Wang Lei , Wu Han , Jian Xiaoqian , Li Dusha , Huang Na 
Published: February 2022

AbstractThe factors that influence consumers' house choice are debatable. Previous studies have examined the effects of demographic and socioeconomic attributes, physical and environmental features of the house, and isolated single psychological characteristics on housing behavior. However, these factors are still not sufficient to predict consumer housing behavior, particularly when they are measured separately. We construct a holistic model that integrates psychological characteristics including values, personality traits, motivation, decision‐making style, and risk‐seeking together with demographic and socioeconomic factors to jointly predict housing mortgage loan behavior. This study aims to use a newly developed statistical method, “machine learning,” to examine the relationship between multiple psychological characteristics and consumer housing mortgage loan behavior. Data were collected through an online survey (N = 2,270). The results show that the holistic psychological model is effective for predicting consumer housing mortgage loan behavior in the life context. Moreover, by analyzing and comparing the relative impact of all predictors, we find that psychological characteristics made a more important contribution to predicting housing mortgage loan behavior than did traditional factors (demographic and socioeconomic factors). The results provide a new perspective for understanding the effects of how multiple psychological characteristics integrally predict consumers' housing mortgage loan behavior in the real estate market. Theoretical and practical implications for marketing and sales are discussed.
The impact of guanidine carbonate incorporation on the molecular structure of polyacrylonitrile precursor fiber stabilized by a multistep heat treatment strategy
Authors: Tunçel Kemal Şahin , Rahman Md. Mahbubor , Demirel Tuba , Karacan Ismail 
Published: February 2022

AbstractThermal‐oxidative stabilization of the polyacrylonitrile (PAN) precursor was performed employing a multi‐step heat treatment strategy in an air circulating furnace. In this approach, the applied temperature was gradually increased from 200°C to 250°C employing several stages for different stabilization durations. Fifteen percent guanidine carbonate (GC) was found as optimum to incorporate with the PAN precursor fibers to accelerate the thermal‐oxidative stabilization process. Characterization techniques, including X‐ray diffraction (XRD), Fourier transform infrared spectroscopy (FT‐IR), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), tensile strength, volume density, linear density, fiber thickness, and burning test have been performed to monitor the changes in PAN structure. Test results of the stabilized samples were compared with the reference sample results to demonstrate the accelerating effect of GC integration. Findings showed that GC pretreatment enhanced and accelerated the cyclization of nitrile groups in the PAN polymer structure and allowed the quicker formation of a thermally stable structure. The analysis of the experimental results revealed that GC integration and employing the multi‐step heat treatment strategy helps greatly to cut the overall PAN‐based carbon fiber production cost.
Toxicity of a novel dsRNA‐based insecticide to the Colorado potato beetle in laboratory and field trials
Authors: Pallis Samuel , Alyokhin Andrei , Manley Brian , Rodrigues Thais B. , Buzza Aaron , Barnes Ethann , Narva Kenneth 
Published: February 2022

AbstractBACKGROUNDThe Colorado potato beetle, Leptinotarsa decemlineata (Coleoptera: Chrysomelidae) is one of the most notorious pests of the potato, Solanum tuberosum. Potato beetles are capable of developing resistance to various insecticides in relatively few generations. Novel and effective means of controlling Colorado potato beetle populations are constantly required to protect potato crops and prevent loss of yield. The knockdown of gene function through ribonucleic acid interference has been demonstrated in Colorado potato beetles, suggesting the use of this technology as a means of beetle management. A novel double‐stranded RNA‐based insecticide with the active ingredient, ledprona, has been tested in variable dose laboratory bioassays, followed by field studies.RESULTSExposure to ledprona resulted in both increased beetle mortality and decreased foliage consumption in all four instars and adult beetles. Effects decreased from earlier to later life stages. No ovicidal activity was detected. Onset of mortality was slower compared with existing chemical insecticides. Nevertheless, field applications of formulated ledprona to potato plots resulted in their protection comparable with that provided by spinosad and chlorantraniliprole.CONCLUSIONBased on the results of this study, formulated ledprona has attributes to become a useful tool in controlling Colorado potato beetle populations that is likely to be a good fit in integrated pest management protocols. © 2022 Society of Chemical Industry.
Measurement of the surface excitation parameter of Kapton, polyethylene (PE), polymethyl methacrylate (PMMA), polystyrene (PS) and polytetrafluoroethylene (PTFE)
Authors: Werner Wolfgang S.M. , Helmberger Fabian , Schürrer Manuel , Eisenmenger‐Sittner Christoph , Ridzel Olga Y. 
Published: February 2022

Reflection electron energy loss spectra (REELS) were measured for five insulating organic compounds: Kapton, polyethylene (PE), poly(methyl methacrylate) (PMMA), polystyrene (PS) and polytetrafluoroethylene (PTFE), as well as for Ni and Si, in the energy range between 200 and 1600 eV. The average number of surface excitations for a single surface crossing were determined from the experimental data and were found to be considerably smaller than for earlier studied materials, which mainly consisted of elemental metals [Surf. Sci. 486(2001)L461]. The surface excitation parameter, a material parameter used to quantify the relative intensity of surface losses in (photo)electron spectroscopy, was extracted from the data and compared with values found in the literature. The results indicate that surface excitations only have a minor influence on quantification of XPS spectra of polymers. On the other hand, a correction for surface excitations turns out to be essential for measurements of the electron inelastic mean free path of polymers when a metal is used as reference material.
A survey on security challenges and protocols of electric vehicle dynamic charging system
Authors: Babu Ponnuru Raveendra , Palaniswamy Basker , Reddy Alavalapati Goutham , Odelu Vanga , Kim Hyun Sung 
Published: February 2022

AbstractElectric vehicle (EV) has emerged as the future of transport worldwide, with the rising need for greener and energy‐efficient transportation solutions. The adoption of EVs can accommodate a clean atmosphere, dropping conventional fuel dependence. During the charging process, the EV will have to interact with various entities that are presented in the dynamic charging station to get charged. This emerging technology grabbed the attention of several researchers to propose authentication protocols for the dynamic EV charging system to protect the information exchanged between the EVs and the dynamic charging station. Considering the complexities associated with communications among EV and other involved entities, security researchers have proposed diverse authentication protocols vital for the EV charging system to protect the information exchanged. However, several existing authentication protocols either suffer from prominent security threats or limit themselves to static charging. This review paper discusses security aspects, security threats, the typical network model, and the threat model in the EV dynamic charging system. Next, we studied and analyzed various security protocols that are needed to provide authentication, privacy preservation, secure billing, and payment among the involved entities in the EV dynamic charging system. A comparative analysis of several state‐of‐the‐art security protocols that offer authentication, privacy preservation, and secure billing and payment facilities in EV dynamic charging systems is demonstrated with their efficacy as well as security and functionality aspects. In addition, some future challenges for EV dynamic charging system security protocols are also highlighted.
A Recognition Method for the Coil Plunger Motion Resist Force Based on Coil Current in Vacuum Circuit Breaker
Authors: Wang Xuezong , Ruan Jiangjun 
Published: February 2022

Jams in the tripping devices are common faults in circuit breakers, which will lead to the failures in circuit breaker. The resist force of the coil plunger in the tripping device could effectively reveal the jam faults. In this paper, a recognition method for the coil plunger motion resist force based on coil current is proposed. The electromagnetic motion model of the coil is established, and the plunger resist force in VS1‐12 is recognized. According to the recognition result and the moving process of the coil plunger, the fitting formula of the resist force is proposed. The resist force from the coil is 5 N, while the force from the latch is 52 N. Based on the fitting formula, the trip coil current of the circuit breaker is simulated. The result is in good agreement with the test result, which verifies the validity of the fitting formula and the recognition method. The method can be applied to the circuit breaker with spring operating mechanism and effectively extract the resist force from the coil current. This research can provide reference for the condition detection and fault warning of coils in circuit breaker. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Diet-Induced Thermogenesis: Principles and Pitfalls
Authors: Nedergaard Jan , Cannon Barbara 
Published: February 2022

AbstractConcerning diet-induced thermogenesis, methodological issues relate mainly to the interpretation of measurements, rather than to the technical methodology as such. In the following, we point to a series of issues where the analysis often suggests the occurrence of UCP1-related diet-induced thermogenesis but where the observations are often the consequences of a process that has induced leanness rather than being the cause of them. We particularly emphasize the necessity of focusing on the total organism when interpreting biochemical and molecular data, where the concept of total tissue values rather than relative data better reflects physiologically important alterations. We stress the importance of performing experiments at thermoneutrality in order to obtain clinically relevant data and stress that true thermogenic agents may be overlooked if this is not done.
Festina-Lente bound on Higgs vacuum structure and inflation
Authors: Lee Sung Mook , Cheong Dhong Yeon , Hyun Sang Chul , Park Seong Chan , Seo Min-Seok 
Published: February 2022

Abstract
The recently suggested Festina-Lente (FL) bound provides a lower bound on the masses of U(1) charged particles in terms of the positive vacuum energy. Since the charged particle masses in the Standard Model (SM) are generated by the Higgs mechanism, the FL bound provides a testbed of consistent Higgs potentials in the current dark energy-dominated universe as well as during inflation. We study the implications of the FL bound on the UV behavior of the Higgs potential for a miniscule vacuum energy, as in the current universe. We also present values of the Hubble parameter and the Higgs vacuum expectation value allowed by the FL bound during inflation, which implies that the Higgs cannot stay at the electroweak scale during this epoch.
One-loop gluon amplitudes in AdS
Authors: Alday Luis F. , Bissi Agnese , Zhou Xinan 
Published: February 2022

Abstract
We initiate the study of one-loop gluon amplitudes in AdS space. These amplitudes were recently computed at tree level for a variety of backgrounds of the form AdSd+1× S3. For concreteness, we compute the one-loop correction to the massless gluon amplitude on AdS5×S3, which corresponds to the four-point correlator of the flavor current multiplet in the dual 4d $$ \mathcal{N} $$
N
= 2 SCFT. This requires solving a mixing problem that involves tree-level amplitudes of arbitrarily massive Kaluza-Klein modes. The final answer has the same color structure as in flat space but the dependence on Mandelstam variables is more complicated, with logarithms replaced by polygamma functions.
Path integrals in quadratic gravity
Authors: Belokurov Vladimir V. , Shavgulidze Evgeniy T. 
Published: February 2022

Abstract
Using the invariance of Quadratic Gravity in FLRW metric under the group of diffeomorphisms of the time coordinate, we rewrite the action A of the theory in terms of the invariant dynamical variable g(τ).We propose to consider the path integrals ∫F(g) exp {−A}dg as the integrals over the functional measure μ(g) = exp {−A2}dg, where A2 is the part of the action A quadratic in R. The rest part of the action in the exponent stands in the integrand as the “interaction” term. We prove the measure μ(g) to be equivalent to the Wiener measure, and, as an example, calculate the averaged scale factor in the first nontrivial perturbative order.
Parametric Experiments on Palladio’s 5 by 3 Villas
Authors: Spallone Roberta , Calvano Michele 
Published: February 2022

AbstractThis paper investigates and describes the parametric reconstruction of Palladio’s villas, using his treatise, I Quattro libri dell’architettura, as the primary source. The process starts with an extensive comparison of Palladio’s rooms’ ratios, the compositional rules of the villas’ plans, and the digital creation of parametric architectural elements. Finally, the process of parametric construction on three selected case studies of 5 by 3 villas—Villa Poiana, Villa Zeno, and Villa Thiene in Cicogna—is undertaken. The developed instrument offers an experimental laboratory in which different hypotheses of integration by the authors, or other scholars with reference to the sources, could be tested.
Circadian regulation of innate immunity in animals and humans and implications for human disease
Authors: Poole Joanna , Kitchen Gareth B. 
Published: February 2022

Abstract
Circadian rhythms are 24-h oscillating variations in physiology generated by the core circadian clock. There is now a wide body of evidence showing circadian regulation of the immune system. Innate immune cells contain the molecular circadian clock which drives rhythmic responses, from the magnitude of the inflammatory response to the numbers of circulating immune cells varying throughout the day. This leads to rhythmic presentation of disease clinically, for example the classic presentation of nocturnal asthma or the sudden development of pulmonary oedema from acute myocardial infarction first thing in the morning.
Putting ridesharing to the test: efficient and scalable solutions and the power of dynamic vehicle relocation
Authors: Danassis Panayiotis , Sakota Marija , Filos-Ratsikas Aris , Faltings Boi 
Published: February 2022

AbstractWe study the optimization of large-scale, real-time ridesharing systems and propose a modular design methodology, Component Algorithms for Ridesharing (CAR). We evaluate a diverse set of CARs (14 in total), focusing on the key algorithmic components of ridesharing. We take a multi-objective approach, evaluating 10 metrics related to global efficiency, complexity, passenger, and platform incentives, in settings designed to closely resemble reality in every aspect, focusing on vehicles of capacity two. To the best of our knowledge, this is the largest and most comprehensive evaluation to date. We (i) identify CARs that perform well on global, passenger, or platform metrics, (ii) demonstrate that lightweight relocation schemes can significantly improve the Quality of Service by up to $$50\%$$

50
%

, and (iii) highlight a practical, scalable, on-device CAR that works well across all metrics.
An application of interactive fuzzy optimization model for redesigning supply chain for resilience
Authors: Kungwalsong Kanokporn , Mendoza Abraham , Kamath Vasanth , Pazhani Subramanian , Marmolejo-Saucedo Jose Antonio 
Published: February 2022

AbstractSupply chain disruptions compel professionals all over the world to consider alternate strategies for addressing these issues and remaining profitable in the future. In this study, we considered a four-stage global supply chain and designed the network with the objectives of maximizing profit and minimizing disruption risk. We quantified and modeled disruption risk as a function of the geographic diversification of facilities called supply density (evaluated based on the interstage distance between nodes) to mitigate the risk caused by disruptions. Furthermore, we developed a bi-criteria mixed-integer linear programming model for designing the supply chain in order to maximize profit and supply density. We propose an interactive fuzzy optimization algorithm that generates efficient frontiers by systematically taking decision-maker inputs and solves the bi-criteria model problem in the context of a realistic example. We also conducted disruption analysis using a discrete set of disruption scenarios to determine the advantages of the network design from the bi-criteria model over the traditional profit maximization model. Our study demonstrates that the network design from the bi-criteria model has a 2% higher expected profit and a 2.2% lower profit variance under disruption than the traditional profit maximization solution. We envisage that this model will help firms evaluate the trade-offs between mitigation benefits and mitigation costs.
The traditional agroforestry systems of Sierra del Rosario and Sierra Maestra, Cuba
Authors: Agnoletti Mauro , Pelegrín Yenia Molina , Alvarez Alejandro González 
Published: February 2022

AbstractTraditional coffee cultivation in Cuba is the result of a complex interaction between different flora species creating agroforestry systems widely spread in mountainous area. The systems, product of local traditional knowledge, are mainly devoted to coffee production but, thanks to the interaction with other species, farmers provide different food products both for self-consumption and to be sold. Furthermore, the adoption of shade trees in order to reach a better quality of the coffee cultivated creates particular microclimate conditions favorable for microorganisms, fauna species and also for spontaneous flora species. According to this it is clear the relationships between traditional knowledge and biodiversity preservation which is fundamental also for improving the surrounding environment, avoiding floods or hydrogeological instability damages, concurring to climate change mitigation and carbon storage. Traditional agroforestry systems are one of the best example of coexistence and coevolution between man and nature, being an historical system adopted by local communities to satisfy their needs in total respect of the surrounding environment. Considering this, the promotion and maintenance of this kind of systems and knowledge related might constitute a valid example to actively preserve biodiversity while respecting human needs for food and livelihood security. These systems are also of particular importance considering the importance of coffee as a beverage served in many countries of the world, but often produced in intensive plantations. This paper shows the high sustainability of coffee production under the shade of trees and support a new concept of food quality contributing to preserve local cultures and environments.
High abundance of a single taxon (amphipods) predicts aquatic macrophyte biodiversity in prairie wetlands
Authors: Larson Danelle M. , DeJong Demey , Anteau Michael J. , Fitzpatrick Megan J. , Keith Breanna , Schilling Emily G. , Thoele Barry 
Published: February 2022

AbstractConservation programs often aim to protect the abundance of individual species and biodiversity simultaneously. We quantified relations between amphipod densities and aquatic macrophyte (large plants and algae) diversity to test a hypothesis that biodiversity can support high abundance of a single taxonomic group. Amphipods (Gammarus lacustrisandHyalella azteca) are key forage for waterfowl and are declining in the Prairie Pothole Region of North America. We sampled a large gradient of amphipod densities (0–7050 amphipods/m3) in 49 semi-permanent wetlands, and 50% of the study wetlands had high amphipod densities (> 500 amphipods/m3). Generalized linear models revealedG. lacustrisandH. aztecadensities increased exponentially with macrophyte diversity indices. Further,H. aztecadensities were greatest at moderate levels of submersed vegetation biomass. Community analyses showed both amphipod species were positively associated with diverse macrophyte assemblages and negatively associated with high coverage of cattails (Typhaspp.), a taxon that creates monotypic stands, as well as bladderwort (Utriculariaspp.), a carnivorous plant. Our results indicate that amphipods could be used as an umbrella species for protecting diverse macrophyte communities in semi-permanent and permanent wetlands of North America’s Prairie Pothole Region.
Protocol for characterizing the molar mass distribution and oxidized functionality profiles of aged transformer papers by gel permeation chromatography (GPC)
Authors: Jusner Paul , Bausch Florian , Schiehser Sonja , Schwaiger Elisabeth , Potthast Antje , Rosenau Thomas 
Published: February 2022

AbstractOil-immersed paper insulation and paper pressboards for structural support are widely used in electrical power transformers. Cellulose thus fulfills an essential task for the smooth power supply of our societies. However, the prevailing temperatures in such equipment, combined with a targeted service life of several decades, pose a serious challenge to the long-term integrity of cellulosic paper insulation. Therefore, numerous studies have been conducted to obtain kinetic data on the degradation processes that contribute to the thermally induced decomposition of cellulose. These studies usually rely on the assessment of the average degree of polymerization by viscosity measurements. In this work, we applied and optimized more advanced methods for the characterization of cellulosic materials based on gel permeation chromatography for the special case of thermally stressed unbleached Kraft paper samples. This allowed studying the molar mass distributions of paper polymers upon exposure to heat, as well as the investigation of changes in their conformation in solution and the observation of thermally induced cross-linking. In combination with group-selective fluorescence labeling, it was possible to track over time the changes in molar mass-dependent profiles of carbonyl and carboxyl groups of authentic Kraft insulator paper samples under thermal stress. In addition, changes of the hemicellulose composition were quantified. We hope that this analytical approach to the in-depth characterization of thermally stressed insulator paper will prove useful for future studies of this important cellulose product, and that our findings will contribute to a better understanding of the thermal decomposition of paper in general.
Graphical abstract