bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promotion of Events and Festivals in the Digital Era
Authors: Singh Preeti , Vats Yash , Vats Aman , Vats Reshma 
Published: May 2023

Purpose / Research Significance: This chapter aims to discuss and analyse the role of Media in the promotion of various events and festivals using different tools of communication such as Newspaper, Local Television Channels and Online Websites, Social Media specifically. The study also offers practical and strategic advice for event planners, brand communicators, and destination marketer sin the major Asian tourism markets, such as India and its neighbours.
Study Design/Methodology/Approach: The outcomes of the study were derived using aqualitative technique. The Prisma technique was used to examine prior literature. Prisma is a set of evidence-based reporting questions for systematic reviews and meta-analyses. There search takes a special review of social media plat forms available to promote an event online.
Finding: The study’s findings provide insight for event/festival organizers and destination marketers interested in achieving success with destination marketing, branding, and promotion.
Implications: The chapter suggests the challenges and opportunities lies in the promotion of an event / festival in the age of social media and making the best use of local media tools available.
LncRNA LINC01018 Screens Type 2 Diabetes Mellitus and Regulates
β Cell Function Through Modulating miR-499a-5p
Authors: Liu Li , Li Yuan , Zhang Xiaoqian 
Published: May 2023

AbstractType 2 diabetes mellitus (T2DM) is characterized by hyperglycemia, which
seriously endangers human health. The dysregulation of lncRNA LINC01018 in T2DM
has been noticed in previous studies, but whether it served as a biomarker lacks
validation. This study aimed to confirm the abnormal expression of LINC01018 in
T2DM and reveals its specific function in regulating pancreatic β cell
function. This study enrolled 77 T2DM patients and 41 healthy individuals and
compared the plasma LINC01018 levels between two groups using PCR. The
pancreatic β cell was induced with 25 mM glucose to mimic cell
injury during T2DM. The effects of LINC01018 on β cell proliferation,
dedifferentiation, and insulin production were evaluated by CCK8, western
blotting, and ELISA. Moreover, the involvement of miR-499a-5p was also evaluated
with luciferase reporter assay. Increased plasma LINC01018 was observed in T2DM
patients compared with healthy individuals, which discriminates patients with
high sensitivity and specificity. Upregulated LINC01018 was associated with
patients’ fasting blood glucose and weight loss. High glucose induced
the increasing LINC01018 in pancreatic islet β cells and suppressed cell
proliferation, insulin secretion, and promoted cell dedifferentiation. Silencing
LINC01018 could alleviate the impaired function of β cells by high
glucose, which was reversed by the knockdown by miR-499a-5p. Upregulated
LINC01018 served as a potential diagnostic biomarker for T2DM and alleviated
high glucose-induced β cell dysfunction via negatively modulating
miR-499a-5p.
Financial asset allocation duality and enterprise upgrading: empirical evidence from the Chinese A-share market
Authors: Guo Ke , Guo Xuemeng , Zhang Jun 
Published: May 2023

AbstractThis study selects the financial data of Chinese non-financial listed companies from 2012 to 2021 as the research sample and empirically examines in detail the impact of financial asset allocation on enterprise upgrading and its mechanism. The study finds that financial assets have a dual influence on enterprise upgrading. Short-term financial assets provide the necessary funds for production activities, thus promoting enterprise upgrading. Long-term financial assets crowd out the funds needed for production activities and thus inhibit enterprise upgrading, resulting in an inverted U-shaped relationship between financial assets and enterprise upgrading. Mechanism testing revealed that risk-taking capacity and earnings persistence are important ways in which financial assets affect enterprise upgrading. In addition, the impact of financial assets on enterprise upgrading differs for different types of financial assets. The financial asset significantly impacts the upgrading of over-indebtedness, non-state-owned, and high financing constraints enterprises. This study enriches the research literature on financial assets and enterprise upgrading and provides new micro evidence for understanding the impact of financial assets on the enterprise upgrading of listed companies.
Does firm size affect client targeting? An investigation over the clients of the Indian Microfinance Institutions
Authors: Sangwan Sunil , Nayak Narayan Chandra , Sen Sweta , Sangwan Vikas 
Published: May 2023

AbstractThe study examines the impact of the Microfinance Institutions’ (MFIs) size on their client targeting. Using MFI clients’ household data, the study considers household income, wealth, human development, caste, settlement type, and purposes of loans as different client targeting dimensions. The analysis is based on a sample survey of over 301 women clients who had received loans exclusively from 12 big and 13 small MFIs.The results indicate that the MFI size has an adverse effect on social performance. As the MFIs grow in size, they tend to target and serve the wealthier and non-agriculturally employed clients residing in urban areas. The women’s passive role in borrowing emerges as yet another concern. The instances of poverty penalty among the poor clients as reflected through higher interest rates for small-sized loans are yet another concern. The target towards poverty eradication may turn out to be a far cry under the large-sized MFIs.
Sailing to save the planet? Media-produced narratives of Greta Thunberg’s trip to the UN Climate Summit in German print newspapers
Authors: Lütkes Linda , Tuitjer Leonie , Dirksmeier Peter 
Published: May 2023

AbstractNarratives and stories are important communication tools and as such essential subjects of social geography. This paper analyses the retelling of Greta Thunberg’s sailing trip across the Atlantic to the Climate Action Summit in New York in 2019 in leading German newspapers and magazines and how her intentions are transformed through this reporting into different narratives. The research mainly focuses on examining the influence of space and place, as geographical research has revealed that spatial determinants are crucial in risk communication and knowledge generation on climate change but have yet to be studied considering stories. The paper, therefore, extends the story-based approach from communication sciences by geographical research on the role of space and place in action-based stories. Therefore, the Narrative Policy Framework (NPF) is used to decode the spatial environment in narratives as an active element that shapes the narrative, and the way characters can (inter)act within these settings. The paper further develops the NPF framework through a geographical lens by focusing particularly on the selection options of spaces for social interactions and affective bonds. Thus, it becomes evident how spatial contexts and environments shape the interactions between individuals and crucially influence the types of narratives that emerge.
Ultra-low noise bipolar current source for ultracold atom magnetic system
Authors: Liu Haotian , Peng Shuai , Jiao Bolong , Li Jiaming , Luo Le 
Published: May 2023

We report the development of an ultralow-noise bipolar current source based on the configuration of H-bridge current switching. The measured relative current noise fluctuation reaches 4 × 10−9 Hz−1/2, which enables an ultra-stable magnetic system for cold atom experiments. We avoid the influence of the AC leakage currents induced by the large parasitic capacitance of the H-bridge. First, the current sensor is placed as close as possible to the magnetic coils so that the systematic errors from these leakage currents are minimized. Second, the large parasitic capacitance, which parallels the magnetic coils and forms an LC oscillator, is removed from the feedback loop in our setup to maintain a large self-resonance frequency of the feedback control loop. These two improvements lead to a current source that is more precise and less noisy. Remarkably, the lowest current noise density produced by the proposed method is only 500 nA Hz−1/2 at a current of 100 A, which is about ten fold smaller than the case with leakage current. To optimize the feedback control, a numerical simulation is implemented by using Matlab Simulink, and the numerical simulation results are entirely consistent with the experimental results.
An exa-scale high-performance molecular dynamics simulation program: MODYLAS
Authors: Andoh Yoshimichi , Ichikawa Shin-ichi , Sakashita Tatsuya , Fujimoto Kazushi , Yoshii Noriyuki , Nagai Tetsuro , Tang Zhiye , Okazaki Susumu 
Published: May 2023

A new version of the highly parallelized general-purpose molecular dynamics (MD) simulation program MODYLAS with high performance on the Fugaku computer was developed. A benchmark test using Fugaku indicated highly efficient communication, single instruction, multiple data (SIMD) processing, and on-cache arithmetic operations. The system’s performance deteriorated only slightly, even under high parallelization. In particular, a newly developed minimum transferred data method, requiring a significantly lower amount of data transfer compared to conventional communications, showed significantly high performance. The coordinates and forces of 101 810 176 atoms and the multipole coefficients of the subcells could be distributed to the 32 768 nodes (1 572 864 cores) in 2.3 ms during one MD step calculation. The SIMD effective instruction rates for floating-point arithmetic operations in direct force and fast multipole method (FMM) calculations measured on Fugaku were 78.7% and 31.5%, respectively. The development of a data reuse algorithm enhanced the on-cache processing; the cache miss rate for direct force and FMM calculations was only 2.74% and 1.43%, respectively, on the L1 cache and 0.08% and 0.60%, respectively, on the L2 cache. The modified MODYLAS could complete one MD single time-step calculation within 8.5 ms for the aforementioned large system. Additionally, the program contains numerous functions for material research that enable free energy calculations, along with the generation of various ensembles and molecular constraints.
Photon energy dependence of the photoelectron spectra of the anthracene anion: On the influence of autodetaching states
Authors: Jalehdoost A. , von Issendorff B. 
Published: May 2023

Vibrationally resolved photoelectron spectra of anthracene anions have been measured for photon energies between 1.13 and 4.96 eV. In this energy range, photoemission mostly occurs via autodetaching electronically excited states of the anion, which strongly modifies the vibrational excitation of the neutral molecule after electron emission. Based on the observed vibrational patterns, eight different excited states could be identified, seven of which are resonances known from absorption spectroscopy. Distinctly different photon energy dependencies of vibrational excitations have been obtained for different excited states, hinting at strongly different photoemission lifetimes. Unexpectedly, some resonances seem to exhibit bimodal distributions of emission lifetimes, possibly due to electronic relaxation processes induced by the excitation of specific vibrational modes.
An intermolecular potential for hydrogen: Classical molecular simulation of pressure–density–temperature behavior, vapor–liquid equilibria, and critical and triple point properties
Authors: Deiters Ulrich K. , Sadus Richard J. 
Published: May 2023

An intermolecular potential is reported for molecular hydrogen that combines two-body interactions from ab initio data with three-body interactions. The accuracy of the two-body potential is validated by comparison with experimental second virial coefficient data. Experimental pressure–density–temperature data are used to validate the addition of three-body interactions, often yielding very accurate predictions. Classical Monte Carlo simulations that neglect quantum effects are reported for the vapor–liquid equilibria (VLE), critical properties, and the triple point. A comparison with experimental data indicates that the effect of quantum interactions is to narrow the VLE phase envelope and to lower the critical temperature. The three-body interactions have a considerable influence on the phase behavior, resulting in good agreement with the experimental density. The critical properties of the two-body + three-body potential for hydrogen provide an alternative set of input parameters to improve the accuracy of theoretical predictions at temperatures above 100 K. In the vicinity of the critical point, the coexistence densities do not obey the law of rectilinear diameters, which is a feature that has largely been overlooked in both experimental data and reference equations of state.
A computational discharge model for sphere–plane long air gap under switching impulse voltage
Authors: Fang Yaqi , Tu Hongxian , Jia Lei , Li Enwen , Liu Lei , Wang Guoli , Zhang Xiaoxing 
Published: May 2023

There are lots of sphere–plane air gaps in valve halls in extra-high-voltage and ultra-high-voltage converter stations. Accurate prediction for discharge characteristics of sphere–plane gaps is of great significance for the selection of shielding structure and determining the dielectric strength of the valve hall. In this paper, based on the physical process of corona inception and continuous leader inception, a computational model for calculating the discharge voltage of a sphere–plane air gap under positive switching impulse voltage is proposed, and the leader characteristics and discharge voltage are analyzed. Then, the switching impulse discharge test of the sphere–plane gap with 0.15, 2, and 0.3 m radius spherical electrodes is carried out to verify the correctness of the model. The results show that the discharge voltage calculated by the proposed method is consistent with the test results, and the error is within 7.3%. The leader inception voltage and inception time increase with the increasing spherical electrode radius at the same gap distance, and an identical spherical electrode require higher leader inception voltage and faster leader inception time with the increasing gap distance.
Quantitative NMR analysis of the mechanism and kinetics of chaperone Hsp104 action on amyloid-β42 aggregation and fibril formation
Authors: Ghosh Shreya , Tugarinov Vitali , Clore G. Marius 
Published: May 2023

The chaperone Hsp104, a member of the Hsp100/Clp family of translocases, prevents fibril formation of a variety of amyloidogenic peptides in a paradoxically substoichiometric manner. To understand the mechanism whereby Hsp104 inhibits fibril formation, we probed the interaction of Hsp104 with the Alzheimer’s amyloid-β42 (Aβ42) peptide using a variety of biophysical techniques. Hsp104 is highly effective at suppressing the formation of Thioflavin T (ThT) reactive mature fibrils that are readily observed by atomic force (AFM) and electron (EM) microscopies. Quantitative kinetic analysis and global fitting was performed on serially recorded
1
H-
15
N correlation spectra to monitor the disappearance of Aβ42 monomers during the course of aggregation over a wide range of Hsp104 concentrations. Under the conditions employed (50 μM Aβ42 at 20 °C), Aβ42 aggregation occurs by a branching mechanism: an irreversible on-pathway leading to mature fibrils that entails primary and secondary nucleation and saturating elongation; and a reversible off-pathway to form nonfibrillar oligomers, unreactive to ThT and too large to be observed directly by NMR, but too small to be visualized by AFM or EM. Hsp104 binds reversibly with nanomolar affinity to sparsely populated Aβ42 nuclei present in nanomolar concentrations, generated by primary and secondary nucleation, thereby completely inhibiting on-pathway fibril formation at substoichiometric ratios of Hsp104 to Aβ42 monomers. Tight binding to sparsely populated nuclei likely constitutes a general mechanism for substoichiometric inhibition of fibrillization by a variety of chaperones. Hsp104 also impacts off-pathway oligomerization but to a much smaller degree initially reducing and then increasing the rate of off-pathway oligomerization.
Delving into suggestion speech acts in Chinese authoritative academic discourse
Authors: Li Ke , Liu Wenyu 
Published: May 2023

Abstract
This paper aims to examine the realisation of suggestions in authoritative academic discourse through the lens of
cognitive pragmatics. To date, the majority of academic suggestion research has focused on face-to-face interactions in an
institutional context. However, other forms of suggesting, namely the written forms of academic suggestions have not yet been
sufficiently explored. Thus, there is a knowledge gap when it comes to authoritative academic suggestions directed to policy
makers. Such policy maker-directed suggestions are always bound and embedded in particular cultural contexts. As a case study, we
explore the suggestions in authoritative academic discourse with the focus on illocutionary force indicating devices (IFIDs) and
relevant construal strategies. Our data were drawn from the Blue Book of Ecological Governance (China Ecological
Governance development report 2019–2020), an important manifestation of authoritative academic discourse in China.
The findings indicate that three types of IFIDs are deployed to delimit Chinese authoritative academic suggestions, among which
conventionalised and indirect IFIDs are preferred. Notably IFID tools pertain to speakers’ choices of construal strategies for
building up the infrastructure of suggestions. The operation of these strategies reveals how authoritative academic suggestions
are internally coded, as well as how they are built to externally act on. Furthermore, we argue that the speakers’ choices of
construal strategies imply a degree of politeness. The study may shed light upon speech act and politeness research in Chinese
linguaculture.
Potential for remote TD-NIRS imaging using a TCSPC camera
Authors: Hungerford Graham , Athanasopoulos Nicholas , Hirsch Richard , O’Neill Patrick , Johnston Pamela , McLoskey David 
Published: May 2023

Abstract
Advances in the CMOS process enables single-photon detection and timing to occur within an individual pixel. Pixel arrays incorporating this in-pixel timing methodology have been increasing in size, facilitating time of flight (ToF) imaging. This means that a fully parallel approach can be made to the collection of images, dramatically speeding up data collection in relation to sample scanning and allowing imaging based on time-correlated single-photon counting (TCSPC) to be made in real time. In this work we make use of a commercial TCSPC camera, based on an array of 192 × 126 imaging pixels with in-pixel timing applied in the area of time-domain near infrared spectroscopy. The potential of remote imaging using this methodology was demonstrated using two model systems. The effect of increasing scattering coefficient using a liquid based (milk added to water) system to assess real time potential was investigated. Additionally a more complex system consisting of a solid with liquid interior (egg) to verify the potential of remote imaging into the interior of the object with different illumination conditions was studied. Using a time-slicing approach intensity images related to each time bin in the ToF distribution were obtained and contrast between the yolk and albumin within the egg was observed.
An improved grand-potential phase-field model of solid-state sintering for many particles
Authors: Seiz Marco , Hierl Henrik , Nestler Britta 
Published: May 2023

Abstract
Understanding the microstuctural evolution during the sintering process is of high relevance as it is a key part in many industrial manufacturing processes. Simulations are one avenue to achieve this understanding, especially field-resolved methods such as the phase-field (PF) method. Recent papers have shown several weaknesses in the most common PF model of sintering, which the present paper aims to ameliorate. The observed weaknesses are shortly recounted, followed by presenting model variations aiming to remove these deficiencies. The models are tested in the classical two-particle geometry, with the most promising model being run on large-scale three-dimensional packings to determine representative volume elements. A densification that is strongly dependent on the packing size is observed, which suggests that the model requires further improvement.
Variational quantum simulation of long-range interacting systems
Authors: Lyu Chufan , Tang Xiaoyu , Li Junning , Xu Xusheng , Yung Man-Hong , Bayat Abolfazl 
Published: May 2023

Abstract
Current quantum simulators suffer from multiple limitations such as short coherence time, noisy operations, faulty readout and restricted qubit connectivity in some platforms. Variational quantum algorithms are the most promising approach in near-term quantum simulation to achieve practical quantum advantage over classical computers. Here, we explore variational quantum algorithms, with different levels of qubit connectivity, for digital simulation of the ground state of long-range interacting systems as well as generation of spin squeezed states. We find that as the interaction becomes more long-ranged, the variational algorithms become less efficient, achieving lower fidelity and demanding more optimization iterations. In particular, when the system is near its criticality the efficiency is even lower. Increasing the connectivity between distant qubits improves the results, even with less quantum and classical resources. Our results show that by mixing circuit layers with different levels of connectivity one can sensibly improve the performance. Interestingly, the order of layers becomes very important and grouping the layers with long-distance connectivity at the beginning of the circuit outperforms other permutations. The same design of circuits can also be used to variationally produce spin squeezed states, as a resource for quantum metrology.
Quasi-monoenergetic carbon ions generation from a double-layer target driven by extreme laser pulses
Authors: Wei Yuqing , Wang Weiquan , Hu Yanting , Zou Debin , Yu Tongpu , Shao Fuqiu 
Published: May 2023

Abstract
High quality energetic carbon ions produced via laser-plasma have many applications in tumor therapy, fast ignition and warm dense matter generation. However, the beam achieved in current experiments is still limited by either a large energy spread or a low peak energy. In this paper, a hybrid scheme for the generation of quasi-monoenergetic carbon ions is proposed by an ultra-intense laser pulse irradiating a double-layer target. Multi-dimensional particle-in-cell (PIC) simulations show that the carbon ions are first accelerated via laser piston mechanism in the former carbon layer and then further accelerated by Coulomb repulsion force in the attached neon target. Since electrons are bunched synchronously in longitudinal and transverse direction by radiation reaction during the whole acceleration process, a quasi-monoenergetic carbon ion beam is eventually produced. In the following stage, the neon target provides the Coulomb field required for the continuous acceleration of the carbon ions which helps to prevent the carbon ion layer from diffusion. It is demonstrated that quasi-monoenergetic carbon ions with peak energy of 465 MeV u−1, energy spread of ∼13%, a divergence of ∼15∘, and laser-to-ion energy conversion of 20% can be achieved by using a laser pulse with intensity of 1.23 × 1023 W cm−2. An analytical model is also proposed to interpret the carbon ion acceleration, which is fairly consistent with the PIC simulations.