bluuebunny/crossref_metadata_2025_split huggingface dataset:
Code-switching, agency, and the answer possibility space of Spanish-English bilinguals
Authors: Raymond Chase Wesley 
Published: November 2023

Abstract
The present study addresses the implicit monolingual bias in our understanding of polar question-answer
sequences by examining them in bilingual conversation. Drawing upon a corpus of naturally-occurring conversational data
amongst native Spanish-English bilinguals in the southwestern United States, I target and explore the ‘fit’ between polar
questions and answers in this community of practice. In this report, I focus specifically on the dimension of language
(non-)concordance between particle answers and the questions they address. Evidence is offered that speakers
produce response particles that are concordant with the language of the question as the pragmatically
unmarked answer format, whereas response particles that are non-concordant with the language of the question
(i.e., ‘code-switched’) are marked, produced agentively and for cause, routinely indexing an emergent stance that is at
variance with the terms established by the question. Some possible avenues for future comparative work on the expression of
agency in question-answer sequences are explored in the Conclusion.
Vector rogue waves and their dynamics in the nonlocal three-component Manakov system
Authors: Jiang Yongmei , Wang Xiubin 
Published: November 2023

Abstract
In this work, by combining the Darboux transformation and variable separation technique, we generate and discuss a semirational vector solution to the nonlocal three-component Manakov system. The semirational solution is expressed in separation-of-variables form. The semirational vector solution exhibits breathers and rogue waves on a bright-dark soliton background. Moreover, the dynamic behaviors of the semirational vector solutions are discussed with some graphics. Our results may contribute to explaining and enriching the corresponding rogue wave phenomena emerging in nonlocal wave modes.
The residual symmetry, Bäcklund transformations, CRE integrability and interaction solutions: (2+1)-dimensional Chaffee–Infante equation
Authors: Günhan Ay Nursena , Yaşar Emrullah 
Published: November 2023

Abstract
In this paper, we consider the (2+1)-dimensional Chaffee–Infante equation, which occurs in the fields of fluid dynamics, high-energy physics, electronic science etc. We build Bäcklund transformations and residual symmetries in nonlocal structure using the Painlevé truncated expansion approach. We use a prolonged system to localize these symmetries and establish the associated one-parameter Lie transformation group. In this transformation group, we deliver new exact solution profiles via the combination of various simple (seed and tangent hyperbolic form) exact solution structures. In this manner, we acquire an infinite amount of exact solution forms methodically. Furthermore, we demonstrate that the model may be integrated in terms of consistent Riccati expansion. Using the Maple symbolic program, we derive the exact solution forms of solitary-wave and soliton-cnoidal interaction. Through 3D and 2D illustrations, we observe the dynamic analysis of the acquired solution forms.
Theoretical Investigation of Pressure Dependent Structural and Elastic Properties of MnSi Compound
Authors: Malviya Sheetal , Jain Arvind , Dixit R. C. , Kaurav Netram 
Published: November 2023

Abstract
MnSi is a metallic compound that exhibits a structural phase transition as a function of pressure. At ambient conditions, MnSi has a cubic structure such as NaCl type crystal structure. However, at high pressures, it undergoes a structural phase transition to a CsCl type crystal structure. The pressure-dependent structural phase transition in MnSi has been studied using various experimental and theoretical techniques. In the present work, we have used an efficient inter-ionic potential approach to predict pressure dependent structural phase change and associated volume collapse in MnSi. Therein, the potential includes the long-range Coulomb, van der Waals (vdW) interaction, and the short-range repulsive interaction up to second neighbour ions. It has been demonstrated that the Hafemeister and Flygare approach successfully evaluates the equation of state for change in volume with respect to applied pressure. We have identified a structural phase transition from B1(NaCl) type structure to B2 (CsCl) type structure in this compound. The estimated value of phase transition pressure (Pt) is 42 GPa, which is consistent with the available reported data. The identified first order phase transformation showed a volume collapse of about 10% in the vicinity of transition. In addition, we have also investigated second order of elastic constants for MnSi compound.
Atomic Diffusion Mechanism in BF2+ Implanted and Annealed n-Fz Si junction using Analytical Approach: Comparison with 2-D TCAD Process Simulation Result
Authors: Chatterjee Puspita , Srivastava Ajay K 
Published: November 2023

Abstract
Ion implantation controls the diffusion of the dopants inside the n-Fz Si bulk of the p+n Si microstrip detector. In order to understand about the diffusion mechanism of BF2
+ molecules/dopants into the n-Fz Si bulk of Double Sided Silicon Strip Detector (back side) for the R3B Silicon Tracker, it is essential to know the precise information about the microscopic defect introduces inside the Si lattice of the detector for the next phase upgrade of the R3B experiment. The purpose of this paper is to present the atomic transport and electrical activation behavior of implanted BF2+ molecules/dopants at an energy of 80 KeV and a dose of 1015 ion/cm2 into the n-Fz Double Sided Silicon Strip Detector for the R3B Silicon Tracker after annealing at 400 °C - 1350 °C.
The result shows the amorphous-crystalline interface position and recrystallization temperature using the results revealed from the 2-D TCAD process simulation of the Si microstrip detector.
Study of Optical Properties of Non Stoichiometric Nickel Oxide
Authors: Bhataniya Lalit Kumar , Chouhan Aakanksha , Dubey Paras 
Published: November 2023

Abstract
In order to create non-stoichiometric nickel oxide, the precursor was thermally decomposed at various sintering temperatures up to 1100 °C. Structure of synthesis compound was characterization by X-ray diffraction method along with ritvield refinement. In UV-visible spectroscopy the band gap of the non-stoichiometric nickel oxide due to excitation of electrons can be obtained. The presence of Ni3+ ions in the oxide lattice shows charge transfer transition, with the consequent absorption in the visible region, which is mainly due to different ratio of Ni3+ and Ni2+ ions in the sample. These data were analysed, and it was discovered that by altering the decomposition temperature, the defects present in the non-stoichiometric get held up, causing neighbouring divalent nickel ions to become Ni3+ due to charge transfer process.
Synthesis of 7-Membered Heterocyclic Compounds and Their Biological Activity
Authors: Rana Rashmi , Ansari Anam 
Published: November 2023

Abstract
Heterocyclic compounds are an important class of organic compound. Owing to their usefulness in synthetic processes, numerous heterocyclic compounds are currently known, and this number is growing quickly. The uses of heterocyclic compounds are numerous. They are mostly used as veterinary goods, agricultural chemicals, and medications. Additionally, they are used as sanitizers, cleansers, antioxidants, corrosion inhibitors, co-polymers, and dye ingredients. The ring of a heterocyclic compound contains at least two unique components as members. On such a cyclic ring, the frequent heteroatoms are oxygen, nitrogen as well as sulphur. The most stable heterocyclic compound is a 7-membered ring over other heterocyclic compounds. Hence this article specifically reviews the synthesization of 7-membered heterocyclic compounds and their biological activity. The set of reviewed articles chosen in the current attempt is selected after the rigorous process of evaluating each aspect related to the 7-membered heterocyclic compound. This review paper will be of great interest to scientific groups working in the field of organic molecule synthesis and development.
Modeling embodied intelligence: can we capture its essence by modeling internal and external interactions?
Authors: Laschi Cecilia 
Published: November 2023

Abstract
In soft robotics, embodied intelligence leverages on the compliance of the physical body to let sensory-motor behaviour emerge from the interaction with the environment. Soft robot modeling often focuses on the effect of actuation on the deformable body. Can we model and describe mathematically the deformations of a soft robot body under external interaction forces? Would that capture the essence of embodied intelligence? We argue that addressing this challenge, in an interdisciplinary effort, would make embodied intelligence and soft robotics take a leap forward and transition from a trial-and-error pioneering phase to a model-informed discipline era.
A Task-to-Intelligence Mapping: When is embodied intelligence worth designing?
Authors: Carter Aja , Chen Wei-Hsi , Misra Shivangi , Sung Cynthia 
Published: November 2023

Abstract
While there has been much work in the space of embodied intelligence, we as a field have struggled to define what exactly embodied intelligence is and how it should be used. In this paper, we propose that there are multiple types of embodied intelligence, and that these different types of embodied intelligence are suited to different types of tasks. We introduce a method for classifying tasks according to their objective and occurrence, and we describe how existing work in embodied intelligence fits into this framework. We hope that this proposed framework will initiate a discussion to more formally think about the role that embodied intelligence plays and the value that it brings to engineering and robotics.
Heterogeneous Underwater Swarm of Robotic Fish
Authors: Iacoponi S. , Hanbaly M. , Infanti A. , Andonovski B. , Mankovskii N. , Zhilin I. , Renda F. , Stefanini C. , Masi G. De 
Published: November 2023

Abstract
Underwater robotics is prevalent today in the field of undersea surveys. The current single-agent approach struggles to cover surveys of large areas, especially when visual analyses are required. Applications of underwater multi-robots fleets need to manage the coordination of the agents, which in turn stresses the already limited capabilities of underwater localization and communication. We propose a concept for a multilayered control architecture, which leverages visual recognition and swarm behavior to negotiate the coordination requirements of the single agent while retaining a significant level of control over the fleet of vehicles as a whole. This is obtained by including multiple control layers, paired with a heterogeneous composition of vehicles.
Task-Mediated Design: A latent space for dexterous soft robotic design
Authors: Pinskier Josh , Howard David 
Published: November 2023

Abstract
Soft robotics has created a paradigm shift within robotic grasping and manipulation. Rather than using complex control policies and path planning methods to undertake grasp objects, soft robots use their embodied intelligence to deform around an object and securely hold it. Yet despite major advances in the field in recent years, there remains an absence of practical methods for designing new high performing soft manipulators. In this perspective, we propose a novel task-mediated approach to soft manipulator design and discuss its application to robust and dexterous manipulation. The task-mediated approach first abstracts the manipulation task into a characteristics latent space, then designs a soft robot to minimise the distance between the actual performance and characteristic latent variables. In conjunction with state-of-the-art generative design tools and simulators, this approach can accelerate the development of bespoke and general purpose manipulators
Metaphorising and bayesian inference according to biology of cognition and enaction
Authors: Valdés-Zorrilla Amaranta , Letelier Juan-Carlos , Soto-Andrade Jorge 
Published: November 2023

Abstract
The most accepted paradigm of brain function sustaining mathematical thinking is the “Brain as Computer” metaphor. Since the early 1970s, however, a new viewpoint based on the Biology of Cognition, created by Humberto Maturana and Francisco Varela, has slowly positioned itself as a challenger to the computer metaphor. Here, we interpret the notion of metaphorising in mathematics in the context of Biology of Cognition. Specifically, we introduce the fundamental concept of Structural Coupling, which is the mechanism by which living systems create the “objects” populating their niche by exploiting correlations in the never-ending Perception ⟲ Action loop. Furthermore, we show that how a living system decides which action to perform is the outcome of a Bayesian Inference mechanism; therefore, randomness is fundamental to living systems and not just a consequence of the mere lack of sufficient information to compute the next action. Additionally, in Bayesian inference, the underlying conditional probability distribution P(action|perception) changes by the very execution of every Perception ⟲ Action loop, performing a biased random walk according to a Hebbian-like rule. With this rich set of concepts derived from cutting-edge biology, we show that Biology of Cognition is a good fit to understand mathematical metaphorisation.
Self-organization in Piano Playing: Why Pattern Transition?
Authors: Wang Huijiang , Iida Fumiya 
Published: November 2023

Abstract
Over billions of years, natural lives and organs have evolved with essential self-organized life-sustaining activities such as locomotion and respiration. Biological studies have shown that the Central Pattern Generator (CPG) is the essential mechanism for such pattern transitions. Embodied intelligence is a paradigm for investigating how humans employ the decentralized controller and embodiment of the body to interact with their environment (piano). Previously piano playing robots were hard-coded to implement mechanical contact and musical generation, resulting in clumsy non-anthropomorphic keystrokes. Instead, we revisit the piano challenge by studying the biomechanical physics of the body, the self-organization of reflexive behavior, and the neuro-muscular synergy in terms of coordinated behavioral diversity and energy minimization.
From Disembodiment to Embodiment in Artificial Intelligence and Psychology - Parallels in Thinking
Authors: Macrine Sheila L , Fugate Jennifer MB 
Published: November 2023

AbstractThis paper briefly traces how both Computer Science and Psychology grew-in tandem-to share similar notions of Embodied Cognition. It concludes an analysis of how the two fields are uniting in their work on Embodied Artificial Intelligence, and future challenges for the field.
How to define the correct guidelines for enhanced telepresence and task embodiment in remote palpation.
Authors: Costi Leone , Iida Fumiya 
Published: November 2023

Abstract
Teleoperated robots have been widely accepted in several fields of medical practice, enhancing human abilities and allowing remote operation. However, such technology has not been able yet to permeate areas such as primary care and physical examination. Such applications strongly rely on the quality of the interaction between doctor and patient, and on its multimodal nature. In order to achieve remote physical examination is thus mandatory to have a good doctor-robot interface, but what does good mean? Ultimately, the goal is for the user to achieve task embodiment, making the remote task feel like the in-person one. Several research groups have proposed a wide variety of interfaces, showcasing largely different methods of control and feedback, because of the absence of design guidelines. In this work, we argue that the ideal interface for a remote task should resemble as close as possible the experience provided by the in-person equivalent, keeping in consideration the nature of the target users. To support our claims, we analyze many remote interfaces and compare them with the respective in-person task. This analysis is not limited to the medical sector, with examples such as remote abdominal surgery, but it expands to all forms of teleoperation, up to nuclear waste handling and avionics.
Unraveling the limiting factors to electron mobility in degenerately doped SnO2 thin films
Authors: Nguyen Viet Huong , Tran Thi My Hang , T.T. Ta Huong , Vuong Kha Anh , Nguyen Hoai Hue , Nguyen Thien Thanh , Nguyen Ngoc Linh , Van Bui Hao 
Published: November 2023

Abstract
This paper presents a comprehensive theoretical study on electron mobility in highly doped polycrystalline SnO2 thin films, a widely employed material in modern devices. Our physical model incorporates phonon-electron interaction, ionised impurity, and grain boundaries as scattering mechanisms, effectively explaining the temperature and electron density-dependent variation of electron mobility in doped polycrystalline SnO2 thin films. We highlight the significant influence of trap density at grain boundaries, the self-compensation effect, and average grain size on the theoretical limit of electron mobility. At a doping level of 1019 cm−3, the limit is estimated at 100 cm2.V−1.s−1, while for 1020 cm−3, it reduces to 50 cm2.V−1.s−1. These factors are strongly influenced by deposition conditions, including temperature, precursor chemistry, and deposition atmosphere. By analysing Hall mobility with respect to carrier density, temperature, or film thickness using our model, a better understanding of the limiting mechanisms in electron mobility can be achieved. This knowledge can guide the development of appropriate experimental strategies to enhance electron mobility in highly doped polycrystalline SnO2 films for advancing the performance of SnO2-based devices across various applications.
Transient vortex dynamics and evolution of Bose metal from a 2D superconductor on MoS2
Authors: Narayanan Sreevidya , Kamalasanan Anoop , Sunny Annu Anns , Thalakulam Madhu 
Published: November 2023

Abstract
The true character of physical phenomena is thought to be reinforced as the system becomes disorder-free. In contrast, the two-dimensional (2D) superconductor is predicted to turn fragile and resistive away from the limit I → 0, B → 0, in the pinning-free regime. It is intriguing to note that the very vortices responsible for achieving superconductivity by pairing, condensation, and, thereby reducing the classical dissipation, render the state resistive driven by quantum fluctuations in the T → 0. While cleaner systems are being explored for technological improvements, the 2D superconductor turning resistive when influenced by weak electric and magnetic fields has profound consequences for quantum technologies. A metallic ground state in 2D is beyond the consensus of both Bosonic and Fermionic systems, and its origin and nature warrant a comprehensive theoretical understanding supplemented by in-depth experiments. A real-time observation of the influence of vortex dynamics on transport properties so far has been elusive. We explore the nature and fate of a low-viscous, clean, 2D superconducting state formed on an ionic-liquid gated few-layered MoS2 sample. The vortex-core being dissipative, the elastic depinning, intervortex interaction, and the subsequent dynamics of the vortex-lattice leave transient signatures in the transport characteristics. The temperature and magnetic field dependence of the transient nature and the noise characteristics of the magnetoresistance confirm that quantum fluctuations are solely responsible for the Bose metal state and the fragility of the superconducting state.
Room temperature control of grain orientation via directionally modulated current pulses
Authors: Rahman Md Hafijur , Oh Hajin , Waryoba Daudi , Haque Aman 
Published: November 2023

Abstract
Traditional approaches to control the microstructure of materials, such as annealing, require high temperature treatment for long periods of time. In this study, we present a room temperature microstructure manipulation method by using the mechanical momentum of electrical current pulses. In particular, a short burst of high-density current pulses with low duty cycle is applied to an annealed FeCrAl alloy, and the corresponding response of microstructure is captured by using Electron Backscattered Diffraction (EBSD) analysis. We show evidence of controllable changes in grain orientation at specimen temperature around 28 °C. To demonstrate such microstructural control, we apply the current pulses in two perpendicular directions and observe the corresponding grain rotation. Up to 18° of grain rotation was observed, which could be reversed by varying the electropulsing direction. Detailed analysis at the grain level reveals that electropulsing in a specific direction induces clockwise rotation from their pristine state, while subsequent cross-perpendicular electropulsing results in an anticlockwise rotation. In addition, our proposed room temperature processing yields notable grain refinement, while the average misorientation and density of low-angle grain boundaries (LAGBs) remain unaltered. The findings of this study highlight the potentials of ‘convective diffusion’ in electrical current based materials processing science towards microstructural control at room temperature.
Depth profiling analysis of the nitriding layer formed by gas nitriding of Ti13Nb13Zr alloy
Authors: Sun Xiaolei , Song Hanke , Luo Yong 
Published: November 2023

Abstract
The gas nitriding of Ti13Nb13Zr alloy was performed in a pure nitrogen atmosphere at 1200 °C with different holding times. The variations in the phase constituents, microstructure, and mechanical properties of the nitriding layer with depth were characterized by SEM, XRD, and nanoindentation. Depending on the phase distributions in depth, the nitriding layer could be sequentially divided into an external nitride layer mainly consisting of TiN, an internal nitride layer consisting of TiN, Ti2N and TiN0.3, and an N diffusion region consisting of TiN0.3. The mechanical properties were closely associated with the phase constituents, where the nanohardness of the internal nitride layer, internal nitride layer N diffusion region and substrate were about 17.126±0.399, 12.120±0.386, 5.627±1.080, and 3.632±0.116 GPa, respectively. In the nitriding process, the N diffusion region containing needle-like TiN0.3 precipitates formed in the initial nitriding stage, and then the precipitates were gradually converted to the external and internal nitride layers, whose thickness increased with the nitriding time. Furthermore, the influence of the alloying element redistribution on the N diffusion mechanism was discussed.