bluuebunny/crossref_metadata_2025_split huggingface dataset:
ERT-based experimental integrated approach for soil hydrological characterization in rainfall-induced shallow landslides prone areas
Authors: Vivaldi Valerio , Torrese Patrizio , Bordoni Massimiliano , Viglietti Filippo , Meisina Claudia 
Published: April 2024

AbstractShallow landslides triggered by heavy rainfalls are slope instabilities, developed in the most superficial eluvial layers, involving the first 2 m from the ground level. A crucial predisposing factor in shallow landslides occurrence is the soil water content, generally measured trough sensors installed in the first soil layers. However, despite being a very precise approach, this monitoring technique provides for a site-specific dataset. An integrated method to extend the hydrological characterization from site-specific to slope scale is presented, combining geotechnical analyses, field data monitoring, and geophysical investigations, in two experimental test sites located on Italian Apennines. Ten Electrical Resistivity Tomographies (ERT) of the first soil horizons were performed through different array geometries (2D-3D-Time-Lapse), calibrated and interpreted basing on stratigraphic logs, trenches, and monitored soil water content field data. The test sites colluvial covers composition was analyzed and compared to resistivity values to build conceptual hydrogeological models of the deep-water circulation. In addition, two time-lapse (4D) ERT surveys were performed in both test sites simulating very intense precipitations, to determine the resistivity variations at different soil drainage conditions, thus estimating the average bulk permeability. Bulk permeability can be also a useful input parameter for slope stability models, widely employed in engineering practices. This integrated method proved to be very useful for the hydrogeological characterization of the subsoil at slope scale, where it is susceptible to slope instability, improving the knowledge of water circulation, as well as the bulk permeability heterogeneities, which are shallow landslides triggering parameters.
Risk assessment for synthetic GICs: a quantitative framework for asset–liability management
Authors: Alimoradian Behzad , Jakubiak Jeffrey , Loisel Stéphane , Salhi Yahia 
Published: April 2024

AbstractThis study addresses a research gap in quantitative modeling framework and scenario analysis for the risk management of stable value fund wraps, a crucial segment of the U.S. financial market with over USD $400 billion in assets. In this paper, we present an asset–liability model that encompasses an innovative approach to modeling the assets of fixed-income funds coupled with a liability model backed by empirical analysis on a unique data set covering 80% of the stand-alone plan sponsor market, contrasting with models based solely on regular deterministic cash flows and interest rate differences. Our model identifies and analyzes two critical risk scenarios from the insurer’s perspective: inflationary and yield spike. Our approach demonstrates that the tail risk of wraps, used as an economic capital measure, is sensitive to characteristic parameters of the fund, such as the duration, portfolio composition and credit quality of assets. This finding significantly differs from U.S. regulatory approaches like the NAIC’s, which often result in a zero capital requirement. These findings reveal limitations in current actuarial risk and profitability metrics for U.S. insurers and argue that a more sophisticated risk model reproducing the two critical scenarios is necessary.
Response of consumers to wage shocks in the framework of the Portuguese assistance program
Authors: Alves Nuno , Cardoso Fátima , Pereira Manuel Coutinho 
Published: April 2024

Abstract
This paper studies the impact on consumption of the exogenous changes in public wages in Portugal during and after the economic and financial assistance program (2011-2014), by exploiting the variability in the size of such changes across municipalities. The initial wage cuts triggered a marked reduction of private consumption, while the reinstatements in the later years gave rise to an increase, albeit of a smaller magnitude. The consumption response was larger for employees with relatively lower wages. Households smoothed the impact on consumption of negative income shocks partly by drawing down their deposits. Consumer credit did not play such a role, as households deleveraged as a response to those negative shocks.
Computing equivariant matrices on homogeneous spaces for geometric deep learning and automorphic Lie algebras
Authors: Knibbeler Vincent 
Published: April 2024

AbstractWe develop an elementary method to compute spaces of equivariant maps from a homogeneous spaceG/Hof a Lie groupGto a module of this group. The Lie group is not required to be compact. More generally, we study spaces of invariant sections in homogeneous vector bundles, and take a special interest in the case where the fibres are algebras. These latter cases have a natural global algebra structure. We classify these automorphic algebras for the case where the homogeneous space has compact stabilisers. This work has applications in the theoretical development of geometric deep learning and also in the theory of automorphic Lie algebras.
Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directions
Authors: Zhang Yongxiang , Lau Raymond Y. K. , David Xu Jingjun , Rao Yanghui , Li Yuefeng 
Published: April 2024

AbstractWith the support of advanced hardware and software technology, Artificial Intelligence (AI) techniques, especially the increasing number of deep learning algorithms, have spawned the popularization of online intelligent services and accelerated the contemporary development and applications of chatbot systems. The promise of providing 24/7 uninterrupted business services and minimizing workforce costs has made business chatbots a hot topic due to the impact of the pandemic. It has attracted considerable attention from academic researchers and business practitioners. However, a thorough technical review of advanced chatbot technologies and their relevance and applications to various business domains is rare in the literature. The main contribution of this review article is the critical analysis of various chatbot development approaches and the underlying deep learning computational methods in the context of some business applications. We first conceptualize current business chatbot architectures and illustrate the technical characteristics of two common structures. Next, we explore the mainstream deep learning technologies in chatbot design from the perspective of computational methods and usages. Then, we propose a new framework to classify chatbot construction architectures and differentiate the traditional retrieval-based and generation-based chatbots in terms of the modern pipeline and end-to-end structures. Finally, we highlight future research directions for business chatbots to enable researchers to devote their efforts to the most promising research topics and commercial scenarios and for practitioners to benefit from realizing the trend in business chatbot development and applications.
Prokaryotic communities of the French Polynesian sponge Dactylospongia metachromia display a site-specific and stable diversity during an aquaculture trial
Authors: Maslin Mathilde , Paix Benoît , van der Windt Niels , Ambo-Rappe Rohani , Debitus Cécile , Gaertner-Mazouni Nabila , Ho Raimana , de Voogd Nicole J. 
Published: April 2024

AbstractDynamics of microbiomes through time are fundamental regarding survival and resilience of their hosts when facing environmental alterations. As for marine species with commercial applications, such as marine sponges, assessing the temporal change of prokaryotic communities allows us to better consider the adaptation of sponges to aquaculture designs. The present study aims to investigate the factors shaping the microbiome of the sponge Dactylospongia metachromia, in a context of aquaculture development in French Polynesia, Rangiroa, Tuamotu archipelago. A temporal approach targeting explants collected during farming trials revealed a relative high stability of the prokaryotic diversity, meanwhile a complementary biogeographical study confirmed a spatial specificity amongst samples at different longitudinal scales. Results from this additional spatial analysis confirmed that differences in prokaryotic communities might first be explained by environmental changes (mainly temperature and salinity), while no significant effect of the host phylogeny was observed. The core community of D. metachromia is thus characterized by a high spatiotemporal constancy, which is a good prospect for the sustainable exploitation of this species towards drug development. Indeed, a microbiome stability across locations and throughout the farming process, as evidenced by our results, should go against a negative influence of sponge translocation during in situ aquaculture.
A Method to Dampen Acoustic Waves in Compressible Reactive Flow Simulations
Authors: Eigemann Jonas , Beck Christian , Kempf Andreas 
Published: April 2024

AbstractA novel technique is presented to improve the initialization of compressible combustion LES, DNS or URANS by numerically turning the flame into a damper to quickly remove (artificial) pressure fluctuations and acoustic energy from the system. This is achieved by modifying the pressure dependency of the heat release rate, effectively modifying the Rayleigh Integral to achieve negative values, so that the acoustic energy is quickly removed from the system. The technique can (a) reduce the cost of simulations (by shortening the initialization), (b) contribute to stabilize the simulation, (c) help to avoid unrealistic thermoacoustic modes and, (d) potentially, be modified to compensate for excessive numerical dissipation of acoustic energy. Examples from LES of a thermoacoustic test case are presented to demonstrate the effective stabilization achieved.
Wildfire effects on the fate of deposited nitrogen in a boreal larch forest
Authors: Liu Weili , Zu Jiaxing , Liu B , Qi Lin , Huang Wei , Fang Yunting , Yang Jian 
Published: April 2024

AbstractThe effects of nitrogen (N) deposition on forests largely depend on the ecosystem N status and the fates of deposited N. Boreal forests are typically N-limited ecosystems and are considered to be more efficient in retaining deposited N relative to temperate and tropical forests. As a primary disturbance in boreal forests, wildfires may alleviate N limitation in the burned ecosystem and increase mineralization, resulting in the altered outcomes of the N deposition. In order to explore the effects of a severe wildfire on the retention of deposited N, we investigated the fates of newly deposited N in burned and unburned boreal larch forests by applying 15NH4NO3 tracers to the forest floors. Results showed that total ecosystem retention for the deposited N was 60% in the forest recovering from a severe wildfire burned five years ago, significantly lower than in the unburned mature forest (89%). The difference was mainly attributed to the substantially lower retention in vegetation (8.3%) in the burned site than in the unburned forest (32.4%), as tracer recoveries in soil were similar (51.2 and 56.6%, respectively). Although most 15N tracer was immobilized in organic soil in both burned and unburned forests (33 and 47%, respectively), a noticeably higher amount of 15N was found in mineral soil in the burned forest (19%) than in the unburned forest (10%), suggesting mineral soil as a significant sink for N deposition in the burned forest. A higher total 15N retention in the unburned forest implies that more new N input may stimulate C sequestration and promote the productivity of the Eurasian boreal forest under the background of atmospheric N deposition. However, a considerable amount of deposited N may be lost from the disturbed boreal larch forest ecosystem after a severe wildfire.
Assessing the Utility of Strontium Isotopes in Fossil Dental Calculus
Authors: Dosseto Anthony , Dux Florian , Eisenhofer Raphael , Weyrich Laura 
Published: April 2024

AbstractStrontium (Sr) isotopes measured in fossil remains have been a useful tool to assess the geographical origin and even migrations of humans and other animals. In particular, dental enamel generally represents the ideal material, as it is dense and less prone to diagenetic replacement of Sr post-burial. However, fossil teeth can often be precious artefacts and difficult to access for destructive analysis. Here, we assess whether measuring Sr isotopes in fossil dental calculus could be used at least as a rangefinder to determine the geographical origin of an individual. We measured trace element concentrations in modern calculus (from a local dental practice), and trace element concentrations and 87Sr/86Sr ratios in human fossil calculus, dentine, and enamel from specimens collected in York, UK. Comparing trace element concentrations between modern and fossil calculus show that metals present in fossil calculus are mostly acquired post-burial, including Sr. The relationship between 87Sr/86Sr and Rb/Sr ratios in fossil calculus, dentine, and enamel suggests that the diagenetic end member would have a 87Sr/86Sr ratio consistent with the one modelled for the York region, but a low Rb/Sr. Without calculus data, dentine and enamel data would have probably suggested a lower 87Sr/86Sr ratio for a diagenetic end member, expecting high Rb/Sr values. Thus, while Sr isotopes in fossil calculus may not be useful to identify the geographical origin of an individual, they may be useful in constraining the composition of the diagenetic end member. Combining Sr isotopes in fossil dental calculus and enamel could be a more robust approach to identify geographical origin than using enamel alone.
U.S. Industrial Transformation and the “How” of 21st Century Industrial Strategy
Authors: Reynolds Elisabeth B. 
Published: April 2024

Abstract
The U.S. policy paradigm has shifted in the first years of the Biden Administration toward a more robust industrial strategy. Over the next decade, trillions of public and private-sector dollars will be invested in technologies and industries deemed critical to national and economic security. This sets the U.S. on a new trajectory, one that accelerates the development and growth of innovative technologies and key industries while also attempting to rebuild U.S. manufacturing capabilities and the middle class more broadly. This shift in U.S. policy is generating significant debate about the merits of industrial policies and their efficacy. This paper outlines the promises and pitfalls of industrial strategy and the key provisions in the three pieces of recent legislation including “guardrails” and “conditionalities” that are meant to put the country on a path toward successful implementation. While there has been significant focus on the “what” of the Biden industrial strategy, less attention has been paid to the “how.” This paper reviews the criteria by which to judge the how, the key provisions of the new legislation, and broader challenges and limitations to meeting all of the Biden Administration industrial strategy objectives.
ROV-Based Autonomous Maneuvering for Ship Hull Inspection with Coverage Monitoring
Authors: Cardaillac Alexandre , Skjetne Roger , Ludvigsen Martin 
Published: April 2024

AbstractHull inspection is an important task to ensure sustainability of ships. To overcome the challenges of hull structure inspection in an underwater environment in an efficient way, an autonomous system for hull inspection has to be developed. In this paper, a new approach to underwater ship hull inspection is proposed. It aims at developing the basis for an end-to-end autonomous solution. The real-time aspect is an important part of this work, as it allows the operators and inspectors to receive feedback about the inspection as it happens. A reference mission plan is generated and adapted online based on the inspection findings. This is done through the processing of a multibeam forward looking sonar to estimate the pose of the hull relative to the drone. An inspection map is incrementally built in a novel way, incorporating uncertainty estimates to better represent the inspection state, quality, and observation confidence. The proposed methods are experimentally tested in real-time on real ships and demonstrate the applicability to quickly understand what has been done during the inspection.
Experienced teachers talking about their mathematics teaching with linguistically disadvantaged learners
Authors: Ingram Jenni , Abbott Ashley , Smith Kyla , Planas Núria , Erath Kirstin 
Published: April 2024

AbstractLearners of mathematics who are linguistically disadvantaged for a variety of reasons, including impoverished socioeconomic status, continue to be educationally disadvantaged and at considerable risk of school failure and early dropout. This is the case in many parts of the world. While much has been researched on linguistically disadvantaged learners in the fields of sociology and general pedagogy, little is known about the classroom teaching of mathematical content in language-responsive ways for all learners in school. Experienced mathematics teachers draw on a wealth of knowledge of content teaching in language-responsive ways developed through their practices working with linguistically disadvantaged learners in their classrooms. In this paper we report on interviews with some of these experienced mathematics teachers from seven educational contexts focusing on teaching probability in language-responsive ways. We focus on what we can learn from these teachers that could inform our practice as mathematics teacher educators and our research. We identify three challenges and three practices that add nuance and depth to theoretical research findings and recommendations on language in mathematics teaching, which can potentially develop these findings in more practical and accurate ways.
Mg2+ Doped ZCFAO Spinel Ferrite: Structural, Optical, Dielectric and Magnetic Explorations
Authors: Moustafa A. M. , Gad S. A. , Hashem H. M. 
Published: April 2024

AbstractA series of Mg doped ZCFAO (Zn0.3−xMgxCu0.7Al0.3Fe1.7O4 (0.05 ≤ x ≤ 0.25) spinel samples were synthesized by solid state reaction method. XRD, was utilized to investigate the structure phase, microstructural characteristics, The optical properties were analyzed; Biological instruments Sp-150 potentiostate is employed to investigate the dielectric measurements in the frequency range of 10 Hz to 1 MHz at various temperatures from 300 to 650 K. Vibrating sample magnetometer VSM was employed to examine the magnetic characteristics in the applied magnetic field ranging from − 20 to 20 kG. The creation of a single-phase cubic spinel was validated by X-ray analysis. The leverage of replacing Zn by Mg leads to enhancement in the lattice parameters, reducing both of the degree of inversion, crystal distortion and compelled these samples to be normal spinel. It turned out that as the degree of inversion sank, the crystallite size declined. The values of dislocations density was found in the order of 10−5 which reveal improving and completing the crystallization of the ferrite samples. The samples have an optical energy gap in the range 3.1–3.38 eV, according to the inferred optical characteristics. The dielectric constant revealed the normal behavior of spinel ferrite it decreases with increasing frequency and enhanced with increasing temperature. It seems that the microstructure of the compound consists of both high-conductive grains and low-conductive grain boundaries, which has been confirmed by the complex impedance. Additionally, the presence of the Maxwell–Wagner relaxation process is also detected. This information can provide valuable insights into the properties and behavior of the compound. Using Nyquist plot, the sample impedance characteristics were interpreted while taking grain and grain boundary contributions into account. The magnetic properties proved that doping ZCFAO with diamagnetic cations (Mg) increases both of saturation magnetization from 16.416 up to 29.983 emu/g and the magnetocrystalline anisotropic constant from 1319.24 to 1612.804 because the two main factors that influence the magnetic properties are the distribution of cations between the octahedral and tetrahedral sites and the magnetic moment of each of its cations. Novelty of our work replacing Zn by Mg (both of them diamagnetic materials) enhance the magnetic properties. Synthesized materials may reexamine the mechanisms underlying Mg2+ induced cationic exchange in ZCFAO and have prospective uses as soft-magnetic materials.
Wigner- and Marchenko–Pastur-Type Limit Theorems for Jacobi Processes
Authors: Auer Martin , Voit Michael , Woerner Jeannette H. C. 
Published: April 2024

AbstractWe study Jacobi processes $$(X_{t})_{t\ge 0}$$

(

X
t

)

t
≥
0

on $$[-1,1]^N$$

[
-
1
,
1
]

N

and $$[1,\infty [^N$$

[
1
,
∞
[

N

which are motivated by the Heckman–Opdam theory and associated integrable particle systems. These processes depend on three positive parameters and degenerate in the freezing limit to solutions of deterministic dynamical systems. In the compact case, these models tend for $$t\rightarrow \infty $$

t
→
∞

to the distributions of the $$\beta $$
β
-Jacobi ensembles and, in the freezing case, to vectors consisting of ordered zeros of one-dimensional Jacobi polynomials. We derive almost sure analogues of Wigner’s semicircle and Marchenko–Pastur limit laws for $$N\rightarrow \infty $$

N
→
∞

for the empirical distributions of the N particles on some local scale. We there allow for arbitrary initial conditions, which enter the limiting distributions via free convolutions. These results generalize corresponding stationary limit results in the compact case for $$\beta $$
β
-Jacobi ensembles and, in the deterministic case, for the empirical distributions of the ordered zeros of Jacobi polynomials. The results are also related to free limit theorems for multivariate Bessel processes, $$\beta $$
β
-Hermite and $$\beta $$
β
-Laguerre ensembles, and the asymptotic empirical distributions of the zeros of Hermite and Laguerre polynomials for $$N\rightarrow \infty $$

N
→
∞

.
Exploring Features That Play a Role in Adolescents’ Science Identity Development
Authors: Ofek-Geva Ella , Fortus David 
Published: April 2024

AbstractMany studies done in the last three decades show that, beginning with adolescence and sometimes even earlier, many adolescents undergo a process of distancing themselves from science as they age. This longitudinal study attempts to deepen our knowledge and understanding of factors that play a role in early adolescents’ science identity development. For 3 years, we followed nine early adolescents at school, at home, and at their after-school activities, interviewing them 162 times. A thematic analysis of the interviews led to the identification of 32 themes. When comparing these themes across different participants, we identified three motifs that distinguished between the participants. Our findings suggest that (A) having a clear area of interest, not necessarily in science, positively affected the participants’ self-efficacy in science and self-assessment of their ability in science studies; (B) being or not being the eldest child in a family with multiple siblings played a role in the participants’ identity development in relation to science; and (C) the participants who were wholly dependent on their grades as an indication of their ability in science rejected the possibility of a future in science and studied science out of compliance rather than out of any internal motive. The implications of our findings are discussed and offer insights into ways that may nurture the positive science identity development of early adolescents.