bluuebunny/crossref_metadata_2025_split huggingface dataset:
Addressing the non-perturbative regime of the quantum anharmonic oscillator by physics-informed neural networks
Authors: Brevi Lorenzo , Mandarino Antonio , Prati Enrico 
Published: October 2024

Abstract
The use of deep learning in physical sciences has recently boosted the ability of researchers to tackle physical systems where little or no analytical insight is available. Recently, the Physics−Informed Neural Networks (PINNs) have been introduced as one of the most promising tools to solve systems of differential equations guided by some physically grounded constraints. In the quantum realm, such an approach paves the way to a novel approach to solve the Schrödinger equation for non-integrable systems. By following an unsupervised learning approach, we apply the PINNs to the anharmonic oscillator in which an interaction term proportional to the fourth power of the position coordinate is present. We compute the eigenenergies and the corresponding eigenfunctions while varying the weight of the quartic interaction. We bridge our solutions to the regime where both the perturbative and the strong coupling theory work, including the pure quartic oscillator. We investigate systems with real and imaginary frequency, laying the foundation for novel numerical methods to tackle problems emerging in quantum field theory.
Gravitational wave background from primordial black holes in globular clusters
Authors: Vanzan Eleonora , Libanore Sarah , Valbusa Dall'Armi Lorenzo , Bellomo Nicola , Raccanelli Alvise 
Published: October 2024

Abstract
Primordial black holes still represent a viable candidate for a significant fraction, if
not for the totality, of dark matter. If these compact objects have masses of order tens of solar
masses, their coalescence can be observed by current and future ground-based gravitational wave
detectors. Therefore, finding new gravitational wave signatures associated with this dark matter
candidate can either lead to their detection or help constraining their abundance. In this work
we consider the phenomenology of primordial black holes in dense environments, in particular
globular clusters. We model the internal structure of globular clusters in a semi-analytical
fashion, and we derive the expected merger rate. We show that, if primordial black holes are
present in globular clusters, their contribution to the GW background can be comparable to other
well-known channels, such as early- and late-time binaries, thus enhancing the detectability
prospects of primordial black holes and demonstrating that this contribution needs to be taken
into account.
Optimization through response surface modelling, experimental validation on development of nanocellulose for pharmaceutical applications
Authors: Keshavamurthysetty Pradeep Heregangur , Patel Dipti H 
Published: October 2024

Abstract
Nanocellulose, a promising polymer derived from lignocellulosic sources, is utilized in various applications such as paper production, water purification, wound dressing, scaffolds, biosensors, super-disintegrants, cosmetics, and drug delivery systems. The study investigates the production of optimized nanocellulose size using response surface methodology, examining the impact of factors like sulphuric acid concentration and temperature on the acid hydrolysis process. The central composite design was used to screen and adjust the design matrix with two-factor levels. The optimized size of nanocellulose was found to be 364.1 nm, with a zeta potential of −40.6, which shows long-term stability. Hence, process variables like sulphuric acid of 48.29% v/v and temperature of 39.7 °C were optimized to get the desired particle size from commercial cellulose. An Analysis of Variance (ANOVA) was applied to determine the primary parameters that have a significant impact on the particle size of nanocellulose. Thus, the obtained nanocellulose was characterized using FTIR, XRD, DLS and TEM analysis. FTIR confirms that the functional groups of cellulose are similar in nanocellulose. As the XRD illustrates, 67% of the crystallinity index in the developed nanocellulose is semicrystalline. The particle size was found within the nm size by employing the DLS method. Nanocellulose was characterized using TEM for surface morphology. Thus, obtained nanocellulose is widely used in various pharmaceutical applications like tissue engineering, cosmeceuticals, wound healing, scaffolds, aerogels, hydrogels, and controlled release of drugs.
Quantum non-Gaussian states of superfluid Helium vibrations
Authors: Rakhubovsky Andrey A , Filip Radim 
Published: October 2024

Abstract
Quantum non-Gaussian states of phononic systems coupled to light are essential for fundamental studies of single-phonon mechanics and direct applications in quantum technology. Although nonclassical mechanical states have already been demonstrated, the more challenging quantum non-Gaussianity of such states remains limited. Using photon counting detection, we propose the quantum non-Gaussian generation of few-phonon states of low-temperature vibrating superfluid Helium. We predict the quantum non-Gaussian depth of such phononic states and investigate their robustness under relevant mechanical heating. As the quality of such phononic states is very high, we confirm a single-phonon bunching capability to further classify such states for future mechanical experiments. Moreover, we predict increasing capability for force sensing and thermometry for increasing heralded phonon numbers.
Surface temperature modulations induced by Rossby Wave Breaking over Indian region
Authors: Biyo Thomas , Kunchala Ravi Kumar , Kumar Kondapalli Niranjan , Singh Bhupendra Bahadur , Yesubabu Viswanadhapalli 
Published: October 2024

Abstract
Upper-level Rossby Wave Breaking (RWB) significantly affects surface weather patterns in the subtropical Indian region through influencing wind circulation often resulting in extremes in rainfall and surface temperatures. While the impact of RWB on rainfall is relatively well understood, its role in modulating surface temperatures within the Indian subcontinent is less explored. This study examines the link between pre-monsoon (March to May) RWB events and the occurrence of extreme surface temperatures and heatwaves by considering long-term data of 43 years between 1979 and 2021. We identify 139 RWB events using a potential vorticity (PV) contour searching algorithm over the Indian sub-continent. Our analysis reveals a significant amplification in temperature both to the west and east of the breaking PV streamers. These temperature anomalies, which last for 3–4 days during the breaking events, strongly correlate with the maximum day of breaking. Further, regression analyses explain the reasons behind the temperature enhancement mainly on the western and eastern flank of RWB. It indicates a positive association between upper-level PV anomalies and anticyclonic circulations at 250 hPa, along with subsidence at 500 hPa, leading to drier conditions in the western and eastern regions of the PV streamers. Additionally, the decomposition of temperature anomalies during RWB events reveals that surface warming is primarily driven by diabatic heating on both sides of the centroid, with stronger adiabatic heating in regions of upper-level anticyclonic circulation and significant temperature advection predominantly on the western side of the centroid, resulting in dry weather and the poleward movement of warm air toward the ridges near the PV streamers.
Secure healthcare data for block chain networking based on Triple Des (TDES) protocol and Ekmc
Authors: K Malathy , R Jaichandran 
Published: October 2024

Abstract
Smart Health Care provides efficient, sustainable, and real-time human services, with its development rooted in the idea of an improved Internet of Things (IoT). However, the integration of these IoT-centric devices with other organizations raises security concerns, as unauthorized users may exploit the available data. Given that alterations in data values from sensors can impact the diagnostic process, potentially leading to severe health issues, ensuring data security and privacy emerges as a paramount concern in the healthcare industry. The Internet of Medical Things (IoMT) signifies a set of healthcare technology that allow care providers, doctors, and medical testing establishments to store and share health data automatically. Despite this, guaranteeing data privacy protection during IoMT transmission is a difficult challenge. To solve these issues, the combination of blockchain (BC) and IoMT provides resilience against multiple attacks while maintaining anonymity. Blockchain successfully enables peer-to-peer data transmission, detecting a large number of potential dangers. The creation of blockchain networking based on the TDES-EKMC addresses the limitations of blockchain networking in the IoMT domain. For user mutual authentication, the proposed framework employs the ECMQV-MAC protocol, the DC-PC for data storage module, and the DM-BGC for key generation. This protocol assures that users have the legal right to use blockchain networking (BCN), while also avoiding superfluous data storage in the blockchain. The key generation process strengthens data privacy defenses against both internal and external attacks. Finally, authorized users can contribute healthcare data to the blockchain, and TDES-EKMC provides secure data transmission in blockchain networking. The suggested framework beats the traditional state-of-the-art technique in terms of throughput, Packet Delivery Ratio (PDR) value, privacy leakage, and the additional time necessary to build new blocks, according to test findings.
Design and fabrication of patterned flexible electrode using DC sputtering and shadow mask
Authors: Savari Hediyeh , Nikfarjam Alireza 
Published: October 2024

Abstract
Flexible electrodes are essential components of flexible electronic devices. However, fabricating these electrodes is challenging because conventional methods are not easily applicable to them. Flexible substrates, such as polymer, fabric, and paper, are delicate and require specialized deposition techniques. To address this challenge, we present a novel, single-step method using DC sputtering and a shadow mask to fabricate high-resolution silver electrodes on polymer and fabric substrates. This approach is cost-effective, overcomes the limitations of multi-step processes, and enables direct electrode patterning. In our study, we produced and used thermoplastic polyurethane (TPU) with a thickness of 310 micrometers as the polymer substrate, which has an elongation at break of 749.39%. Furthermore, we demonstrate successful fabrication of silver electrodes on TPU with a sheet resistance of 3 (Ω/sq) and on wool fabric with 90 (Ω/sq) with a 10-micrometer resolution. In addition to the tensile test, we conducted a contact angle test to compare TPU characteristics with those of other common substrates. The result was 85.98° for TPU and 67.38° for metal-coated TPU. The findings indicate that this electrode showed high flexibility, bendability, and compatibility with curved surfaces, such as human hands, making it an excellent choice for wearable applications. This method is versatile and can be used for various substrates, materials, and patterns. Therefore, it can be useful for creating conductive paths and patterns on flexible substrates.
Impersonal and anti-impersonal constructions
Authors: Creissels Denis 
Published: October 2024

Abstract
The impersonal coding frames that constitute the main topic of this chapter are defined as constructions violating the Obligatory Coding Principle in languages in which A-alignment is strongly predominant, and the anti-impersonal coding frames dealt with in § 6.7 are their mirror-image in the languages in which P-alignment is strongly predominant. After discussing the distinction between impersonal constructions defined as non-canonical coding frames and the other phenomena commonly grouped under the notion of impersonality, this chapter proposes a distinction between lexical impersonal constructions and pragmatic impersonal constructions, and discusses the relevance of the notion of impersonal construction for the analysis of meteorological clauses.
Voice alternations
Authors: Creissels Denis 
Published: October 2024

Abstract
This chapter offers a general survey of verb-coded valency alternations. Section 8.1 discusses the basic notions for the analysis of voice alternations, including the key notions of nucleativization and denucleativization of participants. Section 8.2 highlights polysemy as a common property of voice markers. Section 8.3 presents the main types of voice alternations and discusses the place of portative derivation in the typology of voice. Section 8.4 examines the possibility of combing voice markers with compositional or non-compositional interpretations. Section 8.5 is devoted to symmetrical voices, defined as voices marking the selection of a pivot in pivot-prominent systems of transitive coding. Section 8.6 discusses systems of inflectional voices, in which voice marking is conflated with inflectional categories (TAM and/or indexation). Section 8.7 examines voice contrasts consistently marked by stem alternations or involving sporadical instances of equipollent marking.
Antipassivization
Authors: Creissels Denis 
Published: October 2024

Abstract
In this chapter, Section 10.1 discusses the definition of antipassivization as a voice alternation involving nothing else than denucleativization of the P term of transitive clauses. Section 10.2 examines the possible treatments of the referent of P in antipassive constructions. Section 10.3 deals with the cross-linguistic variation in the functions and conditioning of antipassivization. Section 10.4 discusses the relationship between antipassivization and the Obligatory Coding Principle. Sections 10.5 to 10.7 examine successively the antipassivization of double-P constructions, antipassive-like alternations targeting obliques and S-denucleativization of antipassive constructions. Section 10.8 is devoted to the co-expression patterns in which antipassive markers may be involved, and Section 10.9 discusses the possible origins of antipassive markers.
Causativization
Authors: Creissels Denis 
Published: October 2024

Abstract
The first section of this chapter devoted to causativization discusses definitional and terminological issues. Sections 12.2 and 12.3 provide an overview of various semantic and formal issues commonly addressed in the literature on causative construction. A salient feature of the account of causativization put forward in this chapter is the special attention devoted to the possibility of accounting for some a priori non-canonical uses of causative morphology (such as agentivization and perspectivization, cf. section 12.4) by considering the usual definition of causativization as a particular case of a broader definition. Section 12.5 is devoted to causative markers also used as markers of other types of valency operations. Section 12.6 analyzes non-valency-related uses of causative markers. Section 12.7 discusses lexicalized causatives. Section 12.8 reviews the possible historical origins of causative markers.
Applicativization
Authors: Creissels Denis 
Published: October 2024

Abstract
The first section of this chapter comments on the broad definition of applicativization adopted in this book and the distinction between three varieties of applicativization that differ in the syntactic role of the applied phrase: P-applicativization; D-applicativization; and X-applicativization. Sections 14.2 and 14.3 examine in more detail P-applicatives and X-applicatives respectively. Section 14.4 deals with the variation in the semantic roles expressed by the applied phrase. Section 14.5 is devoted to multiple applicatives and the combination of applicative markers with markers of other valency operations. Section 14.6 analyzes the co-expression patterns involving applicativization and other types of voices. Section 14.7 deals with non-valency-related uses of applicative markers. Section 14.8 discusses the origin of applicative markers. Section 14.9 is devoted to lexicalized applicatives.
Noun incorporation, transitivity, and valency
Authors: Creissels Denis 
Published: October 2024

Abstract
The first section of this chapter discusses the notions of incorporation and semi-incorporation. Section 17.2 reviews the main types of noun incorporation attested cross-linguistically (core-reducing nuclear incorporation, core-maintaining nuclear incorporation, concernative incorporation, classificatory incorporation, and adverbial incorporation), and characterizes each of them according to the relationship between the valency properties of the incorporating verb and those of the compound verb. Section 17.3 evokes the question of the historical origin of noun incorporation. Section 17.4 consists of a detailed presentation of noun incorporation in the Mande language Soninke, a language with wide possibilities of cumulating incorporated nouns and voice markers in a single verb form, and in which detransitivization is consistently marked in verb morphology.
Homing behavior of a tree lizard: influences of mating resource and habitat structure
Authors: Zhang Yu-De , Chou Chun-Chia , Liao Chen-Pan , Lin Jhan-Wei , Clark Rulon W , Hsu Jung-Ya , Huang Wen-San 
Published: October 2024

Abstract
Homing behavior, characterized by repeated navigation to specific spatial areas, is shaped by individual condition and numerous environmental factors varying at both individual and population levels. Homing behavior is often measured by quantifying site fidelity and homing success. Site fidelity reflects an individual’s inclination to stay or reuse its previously occupied location, while homing success assesses the likelihood of an individual returning to its original location after an involuntary translocation. Exploring the effects of ecological and environmental factors on homing behavior across populations offers valuable insights into its adaptability to diverse and changing environments. Here, we conducted a translocation experiment involving 8 populations of Swinhoe’s tree lizard (Diploderma swinhonis). We examined the effects of resource availability (mate and food), morphological traits, habitat structure, and population density on both site fidelity and homing success. Our results revealed significant variations in both site fidelity and homing success, both within and between populations. Males exhibited higher site fidelity when they had high numbers of female neighbors and low levels of heterogeneity of male neighbors. Regarding homing success, males returned to their territories more rapidly when their territories provided abundant mating opportunities and low levels of intrasexual competition. Additionally, habitat structure influenced homing success, with males showing higher success rates in populations characterized by smaller trees, or when they occupied smaller territory trees. Overall, our findings emphasize the necessity of making comparisons within and between populations to better understand the evolutionary and ecological forces shaping animal navigation.
Pre-hospital delay intention and its associated factors in the high-risk population of stroke: a latent profile analysis
Authors: Chen Mengxia , Wang Mengdi , Qiao Mengting , Yu Bing , Chen Wenyao , Huang Xiaorong , Zhang Jingwen , Weng Yanqiu , Zhang Lingjuan 
Published: October 2024

Abstract

Aims
To explore the possible latent classifications of pre-hospital delayed intention at high risk of stroke and to analyse the characteristics of different profiles.

Methods and results
A cross-sectional study was conducted in one community in Shanghai, China. Four hundred and seventy individuals at high risk of stroke were recruited, and self-reported questionnaires (including socio-demographic, stroke knowledge, health belief, and pre-hospital delay behaviour intention scale) were distributed between April and June 2023. A latent profile analysis was employed to identify the delay intention clusters, and multinomial logistic regression was utilized to ascertain the factors influencing the latent classes of delay intention. Four hundred and fifty-seven high-risk populations with a response rate of 97.23% were finally enrolled in this study. Four distinct classes were identified: high warning signs-low delay intention (26.3%), low warning signs-low delay intention (17.7%), moderate level of delay intention (37.3%), and high level of delay intention (18.7%). The influencing factors included stroke knowledge, health belief, age, education background, the nearest distance to the medical institution, and household income.

Conclusion
The pre-hospital delay intention among high-risk populations of stroke was classified into four distinct classes. It is crucial for individuals at high risk to remain vigilant towards stroke symptoms and to take prompt action. Health promotion education may be explored as a strategy to bridge the gap between the recognition of stroke symptoms and the low pre-hospital delay intention.
The Effects of Social Interaction Intervention on Cognitive Functions Among Older Adults Without Dementia: A Systematic Review and Meta-Analysis
Authors: Wei Chi-Chuan , Hsieh Min-Jia , Chuang Yi-Fang 
Published: October 2024

Abstract

Background and Objectives
Previous systemic reviews, predominantly including observational studies, have shown that participation in social activities is a protective factor against cognitive decline. However, this association is subject to potential reverse causality, creating a knowledge gap in our understanding of the effect of social interaction interventions on cognitive function. Therefore, this study aims to conduct a systematic review and meta-analysis of randomized controlled trials to examine the effects of social interaction interventions on cognitive decline among older adults without dementia.

Research Design and Methods
This systematic review, registered in PROSPERO (CRD42022367828), systematically searched 6 databases from inception to May 6, 2022, to identify relevant articles on the effects of activities with social interaction components on cognitive function in community-dwelling older adults without dementia aged above 60. Two independent reviewers conducted study selection, data extraction, and bias assessment, with RevMan5.3 used for meta-analysis. Subgroup analysis was conducted to assess variation in intervention effects among subgroups.

Results
We included 11 studies for qualitative analysis and 8 studies for the meta-analysis. The results showed that social interaction intervention had a significant effect on executive function (standardized mean difference [SMD] = 1.60; 95% CI, 0.50 to 2.70; p = .004), but not attention and memory. The subgroup analysis showed a greater cognitive benefit for healthy older adults, but not those with mild cognitive impairment. Moreover, in-person social interaction positively affected global cognition, whereas online interaction did not.

Discussion and Implications
Social interaction interventions have a limited impact on cognitive function in older adults without dementia but showed potential effects on executive function. This finding offers insights for implementing social intervention in the community.