bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determinants of efficient water use and conservation in the Colombian manufacturing industry using machine learning
Authors: Henao Carolina , Lis-Gutiérrez Jenny Paola , Lis-Gutiérrez Melissa , Ariza-Salazar Janitza 
Published: January 2024

AbstractWater is a fundamental aspect of achieving sustainable industries, and it is essential for firms to make efficient use of it. However, not all companies have sustainable water management practices in place. In this study, we aim to answer the research question: What factors influenced the efficient use and saving of water in the Colombian manufacturing industry in 2020? We used data from the Annual Manufacturing Survey and the Industrial Environmental Survey conducted by DANE to investigate this question. Our study grouped the variables into four categories: Environmental commitment, Risk mitigation, Innovation, and Location. We used two supervised learning machine-learning algorithms—decision tree and logit regression with LASSO regularization—to analyze the data. The results underscore those investments in wastewater treatment, total water consumption, and commitments to air and climate protection emerge as pivotal drivers for embracing sustainable practices. Moreover, the geographical location of companies significantly influences the likelihood of implementing water conservation initiatives. To enhance efficient water use and conservation in the Colombian manufacturing sector, several targeted public policies are recommended. These include offering fiscal and financial incentives to encourage investments in advanced wastewater treatment and reuse technologies. Additionally, advocating for specialized training and environmental education programs tailored for corporate personnel is crucial. Moreover, establishing initiatives for environmental certification and eco-labeling within the corporate sector can significantly promote sustainable water practices. Lastly, enforcing more stringent environmental regulations and standards, especially for industries like Textile, Metallurgy, and Manufacturing of rubber and plastic products, is essential to ensure responsible water management across the sector.
Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone
Authors: Shahzad Muhammad Farrukh , Xu Shuo , Lim Weng Marc , Hasnain Muhammad Faisal , Nusrat Shahneela 
Published: January 2024

AbstractCryptocurrencies—i.e., digital or virtual currencies secured by cryptography based on blockchain technology, such as Bitcoin and Ethereum—have brought transformative changes to the global economic landscape. These innovative transaction methods have rapidly made their mark in the financial sector, reshaping the dynamics of the global economy. However, there remains a notable hesitation in its widespread acceptance and adoption, largely due to misconceptions and lack of proper guidance about its use. Such gaps in understanding create an opportunity to address these concerns. Using the technology acceptance model (TAM), this study develops a parsimonious model to explain the awareness, acceptance, and adoption of cryptocurrency. The model was assessed using partial least squares structural equation modeling (PLS-SEM) with a sample of 332 participants aged 18 to 40 years. The findings suggest that cryptocurrency awareness plays a direct, positive, and significant role in shaping cryptocurrency adoption and that this positive relationship is mediated by factors that exemplify cryptocurrency acceptance, namely the ease of use and usefulness of cryptocurrency. The results also reveal that trust is a significant factor that strengthens these direct and mediating relationships. These insights emphasize the necessity of fostering an informed understanding of cryptocurrencies to accelerate their broader adoption in the financial ecosystem. By addressing the misconceptions and reinforcing factors like ease of use, usefulness, and trust, policymakers and financial institutions can better position themselves to integrate and promote cryptocurrency in mainstream financial systems.
Do innovation and renewable energy transition play their role in environmental sustainability in Western Europe?
Authors: Mahmood Haider , Irshad Ateeq ur Rehman , Tanveer Muhammad 
Published: January 2024

AbstractWestern European economies are among the top innovative countries in the globe and show a remarkable commitment to environmental sustainability through innovations and renewable energy targets. Particularly, renewable energy transition (RET) may shift Western European economies from unclean to clean energy sources and could reduce pollution. Therefore, we analyze the impact of RET and patents on CO2 emissions in 25 Western Europe countries using a period 1995–2020 and cross-sectional dependence techniques. Moreover, the impact of economic growth is also analyzed to examine the Environmental Kuznets Curve (EKC). The results suggest the presence of EKC with a turning point at GDP per capita of 50,287 dollars and Denmark, Iceland, Sweden, Ireland, Norway, Luxembourg, and Switzerland are found at the second stage of the EKC in the long run. Moreover, RET reduces CO2 emissions in the long and short run, Thus, RET helps to achieve environmental sustainability by reducing CO2 emissions in Western European economies. However, patents have negative effects in the long run but do not affect emissions in the short run. Thus, innovation helps to sustain an environment in the long run.
Exploring the connection between deep learning and learning assessments: a cross-disciplinary engineering education perspective
Authors: Fawzia Sabrina , Karim Azharul 
Published: January 2024

AbstractIt is widely accepted that student learning is significantly affected by assessment methods, but a concrete relationship has not been established in the context of multidisciplinary engineering education. Students make a physiological investment and internalize learning (deep learning) if they see high value in their learning. They persist despite challenges and take delight in accomplishing their work. As student deep learning is affected by the assessment system, it is important to explore the relationship between assessment systems and factors affecting deep learning. This study identifies the factors associated with deep learning and examines the relationships between different assessment systems those factors. A conceptual model is proposed, and a structured questionnaire was designed and directed to 600 Queensland University of Technology (QUT) multidisciplinary engineering students, with 243 responses received. The gathered data were analyzed using both SPSS and SEM. Exploratory factor analysis revealed that deep learning is strongly associated with learning environment and course design and content. Strong influence of both summative and formative assessment on learning was established in this study. Engineering educators can facilitate deep learning by adopting both assessment types simultaneously to make the learning process more effective. The proposed theoretical model related to the deep learning concept can support the key practices and modern learning methodologies currently adopted to enhance the learning and teaching process.
Structural position affects topic transition
Authors: Lyu Siqi , Tu Jung-Yueh , Lin Chien-Jer Charles 
Published: January 2024

AbstractIn an eye-tracking study, we used Chinese double-subject construction [NPaNPbPREDICATE] (e.g., [nage jiezhi]NPa[sheji]NPb[hen tebie]PREDICATE‘that ring design very special’) in a concessive construction likesuiran…dan…‘although…but…’ to investigate how the syntactic position of the topic NP (i.e.,that ring) affects the comprehension of topic transition in the subsequent clause. We contrasted topics located at a higher pre-connective topic position (e.g.,that ring although) and those located at a post-connective subject position (e.g.,although that ring). Topic transition was manipulated as either using a subtopic (e.g.,workmanship of that ring) or a new topic (e.g.,the wedding dress) in the second clause of concession. We found a main effect of topic transition in a batch of eye-movement measures showing that subtopic transition was preferred over new-topic transition. More importantly, we found interactions on total reading time and total fixations at the topic-suiranregion and on total fixations at the post-critical region, with post hoc tests revealing a larger cost of topic transition in the high-topic condition than in the low-topic condition. The results suggest that when a topic NP is located at a higher topic position (i.e., above the connective), it binds the topics of both clauses and induces greater cost when the topics do not form a consistent chain. When the topic NP is located at a local (i.e., post-connective) position, the processing of topic shift or resolution of topic conflict in the second clause is less costly because the second topic is not syntactically bound by the higher topic. Together, the results support a prominent status of the before-connective position in Chinese discourse. Furthermore, they indicate that syntactically induced topicality constrains the processing of topic transition in the subsequent discourse.
A possible solution to the Hubble tension from quantum gravity
Authors: B Anupama , Suresh P K 
Published: January 2024

Abstract
We investigate the relevance of quantum gravity during inflation to address the Hubble tension that arises from Planck 2018 and supernova

H
0

for the equation of state data sets. We show that the effect of quantum gravity during inflation can increase the rate of change of

H
0

, thereby accounting for a wide range of observed

H
0

. Further, we show that due to the quantum gravity effect on inflation, the temperature at the onset of reheating can be lower than the standard case, causing delays in the reheating process. The role of quantum gravity is inevitable in settling the Hubble tension. The results of the present study may find use in resolving the Hubble tension, in validating inflationary model and quantum gravity.
Network emergence and reorganization in confined slime moulds
Authors: Saiseau Raphaël , Busson Valentin , Xénard Laura , Durand Marc 
Published: January 2024

Abstract
A fundamental question regarding biological transport networks is the interplay between the network development or reorganization and the flows it carries. We use Physarum polycephalum, a true slime mould with a transport network which adapts quickly to change of external conditions, as a biological model to make progress in this question. We explore the network formation and reorganization in samples suddenly confined in chambers with ring geometry. Using an image analysis method based on the structure tensor, we quantify the emergence and directionality of the network. We show that confinement induces a reorganization of the network with a typical 104 s timescale, during which veins align circumferentially along the ring. We show that this network evolution relies on local dynamics.
Stepless space-regulation of topological acoustic controller with high fault tolerance
Authors: Ma Chengzhi , Wu Jiu Hui , Liu Xiaoli , Li Rui , Wang Linbo , Cui Zhanyou 
Published: January 2024

Abstract
In this paper, the stepless space-regulation of topological acoustic transmission channels with high fault tolerance is proposed through introducing structural defect dislocations into a topological acoustic controller. Due to the stability of topological order against local disturbance, the acoustic wave transmission is immune to dislocation boundaries with strong stability, and thus the topological acoustic controller has high fault tolerance. By continuous changing the dislocation, the position relationship between the outgoing and incident acoustic signals no longer limited to the integer multiple distance related to the lattice size, and can realize the efficient acoustic energy transmission without energy loss at the fractional multiple distance, that is, the topological controller can realize lossless acoustic energy transmission and reception in arbitrary position relationship. Furthermore, the coupling relationship between the defect dislocation and the topological acoustic channel is explored, which can realize the stepless space-regulation of the lossless channel in the wide band range. In addition, by further introducing multi-layer continuous dislocations, this high-fault-tolerant topological acoustic controller still has strong stability, and multiple error factors do not affect the transmission results, which greatly reduces the difficulty of manufacturing. Finally, the stepless space-regulation of topological acoustic channels and the high-fault-tolerant topological acoustic controller that are easy to manufacture are verified by our experiments. This research paves the way for the engineering applications of acoustic micro-control, micro-nano fabrication, remote acoustic energy transmission manipulation, acoustic measurement, weak signal processing, acoustic flexible control and other micro-shape and multi-functional acoustic devices, and will bring more inspiration to other classical wave communication fields such as light wave, electromagnetic wave and so on.
Coexistence of electron and phonon topology in conjunction with quantum transport device modeling
Authors: V Anusree C , Pradhan Sonali S , Kanchana V 
Published: January 2024

Abstract
The escalating research in the field of topology necessitates an understanding of the underlying rich physics behind the materials possessing unique features of non-trivial topology in both electronic and phononic states. Due to the interaction between electronic quasiparticles and spin degrees of freedom, the realization of magnetic topological materials has opened up a new frontier with unusual topological phases, however, these are rarely reported alongside phononic quasiparticle excitations. In this work, by first-principles calculations and symmetry analysis, the intermetallic ferromagnetic compounds MnGaGe and MnZnSb with the coexistence of exceptional topological features in the electronic and phononic states are proposed. These compounds host nodal surface on

k
y

=
π

plane in bulk Brillouin zone in the electronic and phononic spectra protected by the combination of time-reversal symmetry and nonsymmorphic two-fold screw-rotation symmetry. In the former case, a spin-polarized nodal surface is present in the majority and minority spin channels and found to be robust to ground-state magnetic polarization. The presence of nodal line features is analyzed in both the quasiparticle spectra, whose non-trivial nature is confirmed by the Berry phase calculation. The incorporation of spin–orbit coupling in the electron spectra introduces distinctive characteristics in the transport properties, facilitating the emergence of anomalous Hall conductivity through Berry curvature in both bulk and monolayer. Furthermore, the monolayer has been proposed as a two-terminal device model to investigate the quantum transport properties using the non-equilibrium Green’s function approach. This superlative combination of observations and modeling sets the path for a greater level of insight into the behavior and aspects of topological materials at the atomic scale.
Possible quantum-spin-liquid state in van der Waals cluster magnet Nb3Cl8
Authors: Liu Bo , Zhang Yongchao , Han Xin , Sun Jianping , Zhou Honglin , Li Chunhong , Cheng Jinguang , Yan Shaohua , Lei Hechang , Shi Youguo , Yang Huaixin , Li Shiliang 
Published: January 2024

Abstract
The cluster magnet Nb3Cl8 consists of Nb3 trimmers that form an emergent S = 1/2 two-dimensional triangular layers, which are bonded by weak van der Waals interactions. Recent studies show that its room-temperature electronic state can be well described as a single-band Mott insulator. However, the magnetic ground state is non-magnetic due to a structural transition below about 100 K. Here we show that there exists a thickness threshold below which the structural transition will not happen. For a bulk crystal, a small fraction of the sample maintains the high-temperature structure at low temperatures and such remnant gives rise to linear-temperature dependence of the specific heat at very low temperatures. This is further confirmed by the measurements on ground powder sample or c-axis pressed single crystals, which prohibits the formation of the non-magnetic state. Moreover, the intrinsic magnetic susceptibility also tends to be constant with decreasing temperature. Our results suggest that Nb3Cl8 with the high-temperature structure may host a quantum-spin-liquid ground state with spinon Fermi surfaces, which can be achieved by making the thickness of a sample smaller than a certain threshold.
Quantum state complexity meets many-body scars
Authors: Nandy Sourav , Mukherjee Bhaskar , Bhattacharyya Arpan , Banerjee Aritra 
Published: January 2024

AbstractScar eigenstates in a many-body system refers to a small subset of non-thermal finite energy density eigenstates embedded into an otherwise thermal spectrum. This novel non-thermal behaviour has been seen in recent experiments simulating a one-dimensional PXP model with a kinetically-constrained local Hilbert space realised by a chain of Rydberg atoms. We probe these small sets of special eigenstates starting from particular initial states by computing the spread complexity associated to time evolution of the PXP hamiltonian. Since the scar subspace in this model is embedded only loosely, the scar states form a weakly broken representation of the Lie algebra. We demonstrate why a careful usage of the forward scattering approximation (FSA), instead of any other method, is required to extract the most appropriate set of Lanczos coefficients in this case as the consequence of this approximate symmetry. Only such a method leads to a well defined notion of a closed Krylov subspace and consequently, that of spread complexity. We show this using three separate initial states, namely|Z2⟩,|Z3⟩and the vacuum state, due to the disparate classes of scar states hosted by these sectors. We also discuss systematic methods of remedying the imperfections in the FSA setup stemming from these approximate symmetries.
Kinetic modeling of the plasma–wall interaction in the DTT divertor region
Authors: Cichocki F , Innocente P , Sciortino V , Minelli P , Taccogna F 
Published: January 2024

Abstract
A precise estimate of the local energy fluxes and erosion profiles at the divertor monoblocks of a fusion reactor requires a kinetic modeling of the plasma–wall interaction. Here, a two-dimensional Particle-in-Cell code is used to quantify the particle and energy fluxes and ion impact distribution functions across the divertor monoblocks of the ‘Divertor Tokamak Test’ reactor, focusing on poloidal gaps with toroidal bevelling. The considered critical locations are close to the strike points at both Inner and Outer Vertical Targets. A worst-case scenario for particle fluxes corresponding to attached plasma conditions and featuring a single-null magnetic configuration is assumed. The separate and cumulative effects of including electron wall emission and ions/electrons collisions with a background neutral gas (recycled at the walls) are also assessed. It is found that a non-negligible energy flux affects the shadowed regions of the monoblocks, especially when accounting for collisions, and that the ion impact distribution functions are strongly influenced by the considered kinetic effects, with important implications on the induced sputtering yield.
Strain-modulated anomalous circular photogalvanic effect in p-type GaAs
Authors: Zeng Xiaolin , Wu Jing , Zhu Shenbo , Liu Yu , Zhang Yang , Li Yuan , Chen Yonghai 
Published: January 2024

Abstract
The influence of spatial strain distribution on the anomalous circular photogalvanic effect (ACPGE) is investigated in the p-type GaAs material. By tuning the position of exerted stress, it is experimentally observed that the uniform strain related ACPGE behaves like the sine function, which resembles the non-strain situation. Whereas the gradient strain related ACPGE shows the unimodal function line shape. To explain the observations, a new theoretical model is constructed based on spin splitting of energy bands. It is demonstrated that the ACPGE could purely derive from the spin splitting effect. Besides, the combination effect of spin splitting and inverse spin Hall effect on the ACPGE is also investigated. This work reveals the importance of bands spin splitting on ACPGE, which has not been considered before.
Stable dynamic wireless power transfer via a space-extendable high-order Non-Hermitian system
Authors: Wu Bintao , Min Yueyang , Zhu Kejia , Jiang Jun , Guo Zhiwei , Sun Yong , Jiang Haitao , Li Yunhui , Chen Hong 
Published: January 2024

Abstract
A prominent problem in wireless power transmission systems is the sensitivity of the mode frequency to changes in position. While a feedback system can address this issue, it also introduces complexity to the system, potentially giving rise to additional problems. Typically, more complex systems exhibit unique properties, and there are modes suitable for power transfer in high-order PT systems.In this paper, we propose a dynamic wireless power transmission system with hybrid coupling, utilizing odd coils only. This approach offers a feasible solution for dynamic wireless power transmission systems. We calculate the eigenvalues of the system and observe that the eigenvalue of a mode does not change as the load moves, remaining a pure real number. In our study, the system’s transmission efficiency can be maintained at a high and stable level at a fixed working frequency, even as the load position changes. This capability can be employed for stable dynamic charging.
The generation and detection of the spin-valley-polarization in semi-Dirac materials
Authors: Huang Yupeng , Shen R 
Published: January 2024

Abstract
We investigated the transport properties in a normal metal/ferromagnet/normal metal/superconductor junction based on semi-Dirac materials with inverted energy gap. With a scattering matrix approach, we show that the electron transport in the junction is spin-valley-polarized due to the ferromagnetic exchange energy. It is also shown that the Andreev reflection is strongly suppressed, which is a clear experimental signal for the spin-valley-polarization in semi-Dirac materials.
Gravitational waves in New General Relativity
Authors: Golovnev Alexey , Semenova A.N. , Vandeev V.P. 
Published: January 2024

Abstract
The models of New General Relativity have recently got attention of research community, and there are some works studying their dynamical properties. The formal aspects of this investigation have been mostly restricted to the primary constraints in the Hamiltonian analysis. However, it is by far not enough for counting their degrees of freedom or judging whether they are any good and viable. In this paper we study linearised equations in vacuum around the trivial Minkowski tetrad. By taking the approach of cosmological perturbation theory we show that the numbers of primary constraints are very easily seen without any need of genuine Hamiltonian techniques, and give the full count of linearised degrees of freedom in the weak field limit of each and every version of New General Relativity without matter.
Construction of conservation laws for the Gardner equation, Landau–Ginzburg–Higgs equation, and Hirota–Satsuma equation
Authors: Chen Cheng , Afzal Faiza , Zhang Yufeng 
Published: January 2024

Abstract
In this paper, two different methods for calculating the conservation laws are used, these are the direct construction of conservation laws and the conservation theorem proposed by Ibragimov. Using these two methods, we obtain the conservation laws of the Gardner equation, Landau–Ginzburg–Higgs equation and Hirota–Satsuma equation, respectively.