bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnetically tunable acoustic add-drop filter via Terfenol-D
Authors: Mehdizadeh Omrani Ehsan , Nazari Fakhroddin 
Published: August 2024

Abstract
This article introduces a new approach to provide a magnetically tunable add-drop filter structure based on a solid–solid phononic crystal by varying the magnetic field intensities of Terfenol-D in the GHz frequency range. The filter system is prepared with a two-dimensional phononic crystal composed of Nylon as the base material, connected with a square array of circular Molybdenum cylinders. The plan includes a bus waveguide connected to a single-ring resonator and a drop waveguide. The ring resonator embraces six embedded Terfenol-D cylinders that control their Young’s modulus values, and strategically they are placed on both sides of the ring resonator. This tunable add-drop filter is designed to be manipulated by an outside magnetic field, capitalizing on the changes in Young’s modulus in magnetostrictive materials in response to different magnetic field intensities. The tunability of the proposed elastic filter output is achieved through dynamic control of Young’s modulus. The resonance frequency of the ring resonator and dynamic control of these Terfenol-D cylinders within it are critical to the filter’s performance. The filter acts based on resonance frequencies particular to Young’s modulus of Terfenol-D within the ring resonator, utilizing a new method that manipulates the interposition of acoustic waves using an external magnetic field in a tunable add-drop filter configuration. Furthermore, the efficiency of the proposed filter has been endorsed through the coupled mode theory. Additionally, the filter demonstrates suitable performance with a notable average quality factor of 10502, minimal average insertion loss of 1.5 dB, and average damping ratio of 4.5 × 10−5. This suggested filter is straightforward and suitable for acoustic communication systems and networks.
An eco-friendly one-step pretreatment method for the synthesis of electroless coating on magnesium alloy
Authors: Rauta Chandra Sekhar , Majumdar Gautam , Mukherjee Sumanta , Sarkar Sandip 
Published: August 2024

Abstract
Using a one-step pretreatment process, this study synthesized an environmentally friendly and cost-effective electroless Ni-W-P coating on the AZ31 magnesium alloy. Aqueous iron (II) sulfate treatment was used as a replacement for conventional pretreatment in the electroless coating on magnesium alloy. Using ammonia solution in the plating bath results in micro-pits in the coating, and cracks appear on the surface after a certain time of deposition. The deposition rate of the coatings was around 10 and 7 μmh−1 from plating baths with and without ammonia, respectively. Coatings from baths without ammonia (T2), on the other hand, have no pits and can develop thick coatings, whereas coatings from baths with ammonia (T1) can only form deposits up to 10 μm thick. The atomic structure of both coatings exhibits a mixture of microcrystalline and amorphous phases. The coatings T1 and T2 showed an adhesion strength of 6 ± 0.24 and 8.1 ± 0.15 MPa, respectively. Both T1 and T2 coatings have significantly higher corrosion resistance and microhardness than the base alloy.
Multilayer film coating for laser ion source target for increase of low charge state production
Authors: Ceccio Giovanni , Ikeda Shunsuke , Kanesue Takeshi , Cannavò Antonino , Cutroneo Mariapompea , Pleskunov Pavel , Takahashi Kazumasa , Grove Logan , Friedland Adam , Okamura Masahiro 
Published: August 2024

Abstract
The use of Laser Ion Source for accelerator facilities has the advantage to tune the characteristic of the produced beams by changing the laser parameters using the same primary target. The advantageous and innovative opportunity to manipulate the characteristic of charge state distributions by the use of composed target, may open new possibilities for the ion sources. In this experiment we characterize and study the plasma produced by the laser ablation of coated targets at constant laser parameters. The performed investigation has the double purpose to have a better understanding of penetration depth of laser in composed materials and understand how to tune the charge states by adding coating films. The obtained results showed that for particular thickness of coating, the low charge states were produced with higher yield than in the case of pure material.
Gravitational waves from primordial black hole evaporation with large extra dimensions
Authors: Ireland Aurora , Profumo Stefano , Scharnhorst Jordan 
Published: August 2024

Abstract
The spectra of gravitational waves from black hole evaporation generically peak at frequencies of order the Hawking temperature, making this signal ultra-high frequency for primordial black holes evaporating in the early universe. This motivates us to consider small black holes in theories with large extra dimensions, for which the peak frequency can be lowered substantially, since the true bulk Planck scale M
* can be much smaller than the effective M
Pl. We study the emission of brane-localized gravitons during the Hawking evaporation of ultra-light primordial black holes in the context of theories with large extra dimensions, with the ultimate goal of computing the contribution to the stochastic gravitational wave background. To accurately model black hole evolution, we compute greybody factors for particles of spin-0, 1/2, 1, and 2 emitted on the brane and in the bulk, presuming the majority of emission proceeds during the Schwarzschild phase. We then compute the power spectrum and present day spectral density parameter for brane-localized gravitons contributing to a gravitational wave signal. We find that for an optimal choice of parameters, the peak frequency plateaus in the sub-MHz regime, within range of planned high-frequency gravitational wave detectors, making this scenario a target for detection once their sensitivity exceeds ΔN
eff bounds.
Unruh-DeWitt particle detectors in bouncing cosmologies
Authors: Conroy Aindriú , Taylor Peter 
Published: August 2024

Abstract
We study semi-classical particle production in non-singular bouncing cosmologies by employing the Unruh-DeWitt model of a particle detector propagating in this class of spacetimes. The scale factor for the bouncing cosmology is derived analytically and is inspired by the modified Friedmann equation employed in the loop quantum cosmology literature. We examine how the detector response varies with the free parameters in this model such as the equation of state during the contraction phase and the critical energy density during the bounce phase. We also investigate whether such a signature in the particle detector survives at late times.
Optimal constraints on Primordial non-Gaussianity with the eBOSS DR16 quasars in Fourier space
Authors: Cagliari Marina S. , Castorina Emanuele , Bonici Marco , Bianchi Davide 
Published: August 2024

Abstract
We present constraints on the amplitude of local Primordial Non-Gaussianities (PNG), f
NL, using the quasar sample in the Sloan Digital Sky Survey IV extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 (DR16). We analyze the power spectrum monopole, testing for the presence of scale-dependent galaxy bias induced by local PNG. Our analysis makes use of optimal redshift weights that maximize the response of the quasar sample to the possible presence of non-zero PNG. We find -4 < f
NL < 27 at 68% confidence level, which is among the strongest bounds with Large Scale Structure data. The optimal analysis reduces the error bar by ~10% compared to the standard one, but this improvement is lower than the one expected from previous forecasts. In addition, the larger volume of this dataset, when compared to previous releases of the eBOSS quasar catalog, does not always correspond to a reduction of the final uncertainty on local PNG. This could suggest the presence of still unknown systematic effects in the data.
If the quasars have a lower response to local PNG, our optimal constraint becomes -23 < f
NL < 21 at 68%, with an improvement of 30% over standard
analyses. We also
show how to use the optimal weights to put data-driven priors on the sample's response to
local PNG.
On-chip quantum NOON state sensing for temperature and humidity
Authors: Luo 罗 Weihong 伟宏 , Wu 吴 Chao 超 , Du 杜 Yuxing 昱星 , Zhao 赵 Chang 畅 , Yu 余 Miaomiao 苗苗 , Zhu 朱 Pingyu 枰谕 , Zhang 张 Kaikai 凯凯 , Xu 徐 Ping 平 
Published: August 2024

Abstract
A maximal photon number entangled state, namely NOON state, can be adopted for sensing with a quantum enhanced precision. In this work, we designed silicon quantum photonic chips containing two types of Mach–Zehnder interferometers wherein the two-photon NOON state, sensing element for temperature or humidity, is generated. Compared with classical light or single photon case, two-photon NOON state sensing shows a solid enhancement in the sensing resolution and precision. As the first demonstration of on-chip quantum photonic sensing, it reveals the advantages of photonic chips for high integration density, small-size, stability for multiple-parameter sensing serviceability. A higher sensing precision is expected to beat the standard quantum limit with a higher photon number NOON state.
Comparison of feed-forward control strategies for simplified vertical hopping model with intrinsic muscle properties
Authors: Patkó Dóra , Zelei Ambrus 
Published: August 2024

Abstract
To analyse walking, running or hopping motions, models with high degrees of freedom are usually used. However simple reductionist models are advantageous within certain limits. In a simple manner, the hopping motion is generally modelled by a spring-mass system, resulting in piecewise smooth dynamics with marginally stable periodic solutions. For a more realistic behaviour, the spring is replaced by a variety of muscle models due to which asymptotically stable periodic motions may occur. The intrinsic properties of the muscle model, i.e. preflexes, are usually taken into account in three complexities—constant, linear and Hill-type. In this paper, we propose a semi-closed form feed-forward control which represents the muscle activation and results in symmetrical hopping motion. The research question is whether hopping motions with symmetric force-time history have advantages over asymmetric ones in two aspects. The first aspect is its applicability for describing human motion. The second aspect is related to robotics where the efficiency is expressed in term of performance measures. The symmetric systems are compared with each other and with those from the literature using performance measures such as hopping height, energetic efficiency, stability of the periodic orbit, and dynamical robustness estimated by the local integrity measure (LIM). The paper also demonstrates that the DynIn MatLab Toolbox that has been developed for the estimation of the LIM of equilibrium points is applicable for periodic orbits.
A hybrid optimization for distributed generation and D-STATCOM placement in radial distribution network: a multi-faceted evaluation
Authors: S Anbuchandran , M Arumuga Babu , D Silas Stephen , M Thinakaran 
Published: August 2024

Abstract
The deregulation of the power system, upward growth in electrical energy demand and network expansion have resulted in an increasing integration of distributed generation (DG) and distribution static synchronous compensator (D-STATCOM) into radial distribution systems (RDS). Nonetheless, the optimal allocation of these devices is highly important to derive immense benefits. This investigation narrows down on optimizing DG and D-STATCOM placement in IEEE 33-bus RDS with a view to increase bus voltages, decrease power losses as well as maximize economic gains. The study undertakes a comprehensive analysis comparing the technical, economic and environmental performance of DG and D-STATCOM; thereby enabling power engineers to make informed choices concerning which device will be most advantageous when it comes to delivering power in RDS. A fuzzy enhanced firefly optimization (FEFO) approach is proposed for the optimization and a multifaceted evaluation in terms of technical, financial and environmental is presented for effective decision-making on distributed energy resource deployment. D-STATCOM and wind DG integrations led to notable reductions in power loss and pollutant emissions, highlighting their effectiveness in improving power quality and reducing reliance on fossil fuels. While wind DG incurred a higher installation cost ($3,100,749.2) compared to D-STATCOM ($90,566.6), it achieved greater yearly power loss cost savings ($69,198 versus $47,619). FEFO’s efficiency in optimization stands out, aiding engineers in making informed decisions for optimizing D-STATCOM and wind-DG integration in the IEEE-33 RDS, ultimately enhancing system performance and cost-effectiveness through proactive planning. The integration of D-STATCOM and wind DG led to a significant improvement in distribution system efficiency, with D-STATCOM reducing real power loss by 28.7% and reactive power loss by 27.8%, while wind DG achieved greater reductions of 41.8% in real power loss and 37.5% in reactive power loss, alongside reductions in pollutant emissions of 1.5% and 2.2%, respectively.
La La Land
Authors: Lewis Hannah 
Published: August 2024

Abstract
This book examines the development, style, and reception of the 2016 film musical La La Land. Directed by Damien Chazelle with music by Justin Hurwitz, the film told the story of a romance between an aspiring actress and jazz pianist as the two pursued their dreams in Los Angeles. It contemporized the classic Hollywood musical, using a vintage form to tell a modern story. Its blend of nostalgia and realism made it an instant classic, while prompting a range of critical and audience responses. Drawing on extensive personal interviews with director Damien Chazelle, composer Justin Hurwitz, choreographer Mandy Moore, and lyricists Pasek and Paul, the author explores La La Land’s aesthetic approach to the film musical genre, particularly its simultaneous engagement with and subversion of the classic Hollywood musical’s stylistic and narrative expectations. The book delves into the film’s depiction of jazz, focusing in particular on how race and genre intersect in its narrative. The film’s reception, specifically the critical response from its premiere to the 2017 Academy Awards, reflected broader cultural expectations and understandings of the film musical and its continued appeal for twenty-first-century audiences. By exploring the range of stylistic and cultural debates that La La Land prompted, a great deal can be learned about the film musical genre’s enduring and evolving place in contemporary American culture.
The Development of a “Realist Musical”
Authors: Lewis Hannah 
Published: August 2024

Abstract
This chapter traces the development of La La Land from director Damien Chazelle and composer Justin Hurwitz’s first collaboration at Harvard to the final version that premiered in 2016. Drawing on press accounts and my own personal interviews with Chazelle, Hurwitz, and other members of the creative team, the author recounts how La La Land developed and evolved, from both logistical and aesthetic standpoints, considering the factors that led to the final version of the screenplay, songs, and story. The author stresses the collaborative nature of the film’s development, while also pointing to the auteurist tendencies across Chazelle’s work, and the importance of Hurwitz’s music in sonically marking his collaborator’s individual style.
Nostalgia, Homage, and Bittersweet Endings
Authors: Lewis Hannah 
Published: August 2024

Abstract
Chapter 2 delves into the various ways that La La Land references film musicals of the Golden Age, both through intertextuality and through reliance on well-known conventions of the film musical genre in its overarching structure and narrative. It focuses on some of the most notable sources of homage in the film, particularly the Gene Kelly–Stanley Donen films made for MGM; the Fred Astaire–Ginger Rogers films of the 1930s; and the films of French director Jacques Demy. Throughout, the author describes the ways that Chazelle, Hurwitz, and the rest of the creative team sought to infuse the film with opposing impulses, a melancholy with a cynical edge. The chapter also explores the film’s tensions between nostalgia, homage, and modernity in its music, lyrics, and audiovisual style.
The Lyric Setting in Rorem’s Catullus: On the Burial of His Brother
Authors: Oade Stephanie 
Published: August 2024

Abstract
Chapter 5 considers some of the fundamental lyric traits outlined in Part I and sets them in the context of Catullus poem 101 and Ned Rorem’s song Catullus: On the Burial of His Brother. Through a joint analysis of the music and text, it is shown that Rorem was able to maintain some of Catullus’s lyric qualities through the reception process, especially elements of subjectivity, ‘universality’, scale, and addressivity. However, an investigation into the use of voice in the poem and song shows that the composer, translator, and performer all appropriate and mediate the text in different ways, leading to a new dialogism through performance. A study of the structural decisions made by Rorem further complicates the application of the lyric genre.
Cycles in Catullus and Orff’s Catulli Carmina: Ludi Scaenici
Authors: Oade Stephanie 
Published: August 2024

Abstract
Chapter 7 comprises a textual study of the lyric cycle extracted and appropriated by Carl Orff from the Catullan corpus for use in his work Catulli Carmina. Orff’s intention was to create a ‘story’ for a semi-staged ‘drama’ based on the Catullus–Lesbia affair, but to do this without interfering with the structural integrity of Catullus’s lyric poems. The Orffian poem sequence is positioned within the tradition of the song cycle in its musical-historical context, as well as alongside the scholarly traditions that read cycles in the Catullan corpus. Orff’s poem selection is then scrutinized as a functioning textual and musical cycle, and its inherent tendencies towards repetition and stasis are balanced against its narrative potential and opportunities for dramatic progression.
Lyric Structures in Catullus 64 and Strauss–Hofmannsthal’s Ariadne auf Naxos
Authors: Oade Stephanie 
Published: August 2024

Abstract
Chapter 9 considers the parallel frame structures of the poem’s ekphrasis and the opera’s Spiel im Spiel form. By relating these frame structures to the internal audiences they create and the perspectives they consequently generate, it is shown that aspects of lyricism are embedded in the processes of viewing and in the continuous recontextualization of the central characters through multiple perspectives and layers of symbolism. The character of the Composer and the commedia dell’arte troupe are discussed for their contributions to the opera’s large-scale allegorical purpose. The lyric reading is developed by exploring the integration of subjectivity in both works, as well as the now-familiar shifting style (das Gleitende) that runs throughout.
ReCIDE: robust estimation of cell type proportions by integrating single-reference-based deconvolutions
Authors: Li Minghan , Su Yuqing , Gao Yanbo , Tian Weidong 
Published: August 2024

Abstract
In this study, we introduce Robust estimation of Cell type proportions by Integrating single-reference-based DEconvolutions (ReCIDE), an innovative framework for robust estimation of cell type proportions by integrating single-reference-based deconvolutions. ReCIDE outperforms existing approaches in benchmark and real datasets, particularly excelling in estimating rare cell type proportions. Through exploratory analysis on public bulk data of triple-negative breast cancer (TNBC) patients using ReCIDE, we demonstrate a significant correlation between the prognosis of TNBC patients and the proportions of both T cell and perivascular-like cell subtypes. Built upon this discovery, we develop a prognostic assessment model for TNBC patients. Our contribution presents a novel framework for enhancing deconvolution accuracy, showcasing its effectiveness in medical research.
FateNet: an integration of dynamical systems and deep learning for cell fate prediction
Authors: Sadria Mehrshad , Bury Thomas M 
Published: August 2024

Abstract

Motivation
Understanding cellular decision-making, particularly its timing and impact on the biological system such as tissue health and function, is a fundamental challenge in biology and medicine. Existing methods for inferring fate decisions and cellular state dynamics from single-cell RNA sequencing data lack precision regarding decision points and broader tissue implications. Addressing this gap, we present FateNet, a computational approach integrating dynamical systems theory and deep learning to probe the cell decision-making process using scRNA-seq data.

Results
By leveraging information about normal forms and scaling behavior near bifurcations common to many dynamical systems, FateNet predicts cell decision occurrence with higher accuracy than conventional methods and offers qualitative insights into the new state of the biological system. Also, through in-silico perturbation experiments, FateNet identifies key genes and pathways governing the differentiation process in hematopoiesis. Validated using different scRNA-seq data, FateNet emerges as a user-friendly and valuable tool for predicting critical points in biological processes, providing insights into complex trajectories.

Availability and implementation
github.com/ThomasMBury/fatenet.
Customization effort estimation of Microsoft ERP projects
Authors: Yousaf Tameem , Afzal Malik Ali , Daud Marriam 
Published: August 2024

Abstract
The enterprise resource planning (ERP) software market is rapidly growing due to its potential in aiding organizations to streamline their business processes and enhance workforce productivity. However, ERP customization projects often encounter delays in schedules and exceed budgets mainly because estimations of project customization effort and duration are typically carried out using ad-hoc methods. This study aims to construct and validate a customization effort estimation (CEE) model tailored for ERP projects employing Microsoft Dynamics 365 (D365) customization. To achieve this, six critical factors that impact CEE in D365 projects are identified. Subsequently, an industry-wide survey is conducted to determine the relative significance of these factors and to establish their weights for both simple and complex variants. The proposed model D365CustomizePro is created through the application of stepwise multiple linear regression and then validated through the leave-one-out cross-validation technique based on data collected from 21 real-life D365 projects undertaken at a software house. The estimation accuracy of D365CustomizePro is compared with the estimation accuracy achieved by using two different well-known effort estimation techniques, i.e. expert judgment and COCOMO II (algorithmic estimation model). Results reveal that D365CustomizePro exhibits better estimation accuracy vis-á-vis both expert judgment and COCOMO II.