bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantum circuit for high order perturbation theory corrections
Authors: Li Junxu , Gao Xingyu 
Published: June 2024

AbstractPerturbation theory (PT) might be one of the most powerful and fruitful tools for both physicists and chemists, which has led to a wide variety of applications. Over the past decades, advances in quantum computing provide opportunities for alternatives to classical methods. Recently, a general quantum circuit estimating the low order PT corrections has been proposed. In this article, we revisit the quantum circuits for PT calculations, and develop the methods for higher order PT corrections of eigenenergy, especially the 3rd and 4th order corrections. We present the feasible quantum circuit to estimate each term in these PT corrections. There are two the fundamental operations in the proposed circuit. One approximates the perturbation terms, the other approximates the inverse of unperturbed energy difference. The proposed method can be generalized to higher order PT corrections.
Transcranial direct current stimulation (tDCS) improves emotion regulation in children with attention-deficit hyperactivity disorder (ADHD)
Authors: Estaji Reza , Hosseinzadeh Mariam , Arabgol Fariba , Nejati Vahid 
Published: June 2024

AbstractChildren with attention deficit/hyperactivity disorder (ADHD) typically exhibit difficulties in emotion regulation. It has been shown that the dorsolateral prefrontal cortex (dlPFC) and ventromedial prefrontal cortex (vmPFC) are crucially involved in these deficient processes. In this study, we aimed to explore the impact of electrical stimulation over the left dlPFC and right vmPFC on emotion regulation in children with ADHD. Twenty-four children with ADHD completed the Emotional Go/No-Go and Emotional 1-Back tasks while undergoing transcranial direct current stimulation (tDCS) in three separate sessions, each with a different electrode placement: anodal dlPFC (F3)/cathodal vmPFC (Fp2), anodal vmPFC (Fp2)/cathodal dlPFC (F3), and sham stimulation. During both real tDCS conditions, the accuracy of pre-potent inhibitory control and working memory performance improved, but not speed. This study provides evidence that the left dlPFC and the right vmPFC are involved in emotion regulation in ADHD.
High concentrations of Maraviroc do not alter immunological and metabolic parameters of CD4 T cells
Authors: De La Torre Tarazona Erick , Passaes Caroline , Moreno Santiago , Sáez-Cirión Asier , Alcamí José 
Published: June 2024

AbstractMaraviroc (MVC) is an antiretroviral drug capable of binding to CCR5 receptors and block HIV entry into target cells. Moreover, MVC can activate NF-kB pathway and induce viral transcription in HIV-infected cells, being proposed as a latency reversal agent (LRA) in HIV cure strategies. However, the evaluation of immunological and metabolic parameters induced by MVC concentrations capable of inducing HIV transcription have not been explored in depth. We cultured isolated CD4 T cells in the absence or presence of MVC, and evaluated the frequency of CD4 T cell subpopulations and activation markers levels by flow cytometry, and the oxidative and glycolytic metabolic rates of CD4 T cells using a Seahorse Analyzer. Our results indicate that a high concentration of MVC did not increase the levels of activation markers, as well as glycolytic or oxidative metabolic rates in CD4 T cells. Furthermore, MVC did not induce significant changes in the frequency and activation levels of memory cell subpopulations. Our data support a safety profile of MVC as a promising LRA candidate since it does not induce alterations of the immunological and metabolic parameters that could affect the functionality of these immune cells.
The relationship between prognosis and temporal muscle thickness in 102 patients with glioblastoma
Authors: Tang Jinhai , Dong Zhenghao , Yang Lei , Yang Ping , Zhao Wanying , Deng Lvdan , Xue Juan , Cui Yijie , Li Qizheng , Tang Lufan , Sheng Junxiu , Zhang Yu , Zhang Huimin , Chen Tongtong , Dong Bin , Lv Xiupeng 
Published: June 2024

AbstractTemporal muscle thickness measured on 3D MRI has recently been linked to prognosis in glioblastoma patients and may serve as an independent prognostic indicator. This single-center study looked at temporal muscle thickness and prognosis in patients with primary glioblastoma. Overall survival was the major study outcome. For a retrospective analysis from 2010 to 2020, clinical data from 102 patients with glioblastoma at the Department of Oncology Radiotherapy of the First Affiliated Hospital of Dalian Medical University were gathered. Fifty-five cases from 2016 to 2020 contained glioblastoma molecular typing data, of which 45 were IDH wild-type glioblastomas and were analysed separately. TMT was measured on enhanced T1-weighted magnetic resonance images in patients with newly diagnosed glioblastoma.Overall patient survival (OS) was calculated by the Kaplan–Meier method and survival curves were plotted using the log-rank-sum test to determine differences between groups, and multifactorial analyses were performed using a Cox proportional-risk model.The median TMT for 102 patients was 6.775 mm (range: 4.95–10.45 mm). Patients were grouped according to median TMT, and the median overall survival (23.0 months) was significantly longer in the TMT > median group than in the TMT median group (P 0.001; Log-rank test). Analysing 45 patients with IDH wild type alone, the median overall survival (12 months) of patients in the TMT > median group was significantly longer than that of patients in the TMT ≤ median group (8 months) (P < 0.001; Log-rank test).TMT can serve as an independent prognostic factor for glioblastoma.
Mediating roles of activities of daily living and depression on the relationship between sleep quality and health-related quality of life
Authors: Ren Xiao-Qing , Zhao Gong-Ming , Fang Shuo-Wen , Xu Ling-Feng , Wang Li-Dan , Zhao Lin-Hai , Lu Man-Man 
Published: June 2024

AbstractThis study aimed to explore the mediating effects of ADL and depression on the relationship between sleep quality and HRQOL among older people in rural China, while also exploring the moderating impact of loneliness. The study gathered data from a household survey conducted among 1587 Chinese rural older adults (mean age = 73.63 years). The collected data was analyzed using SPSS version 23.0 software (IBM, New York, USA) and the PROCESS macro version 4.0 program. The findings indicated a significant correlation between sleep quality, ADL, depression, loneliness and HRQOL. ADL and depression exhibited a chain mediation effect on the relationship between sleep quality and HRQOL. Notably, the association between sleep quality and HRQOL was entirely mediated by ADL and depression. Additionally, loneliness acted as a moderator in the relationship between ADL and HRQOL. The findings of this study suggest that interventions focusing on sleep quality should prioritize strategies for enhancing older adults’ ADL and depression as integral components of promoting older adults’ HRQOL.
Nonlinear wave propagation in a bistable optical chain with nonreciprocal coupling
Authors: Aguilera-Rojas Pedro J. , Alfaro-Bittner Karin , Clerc Marcel G. , Díaz-Zúñiga Manuel , Moya Amaru , Pinto-Ramos David , Rojas René G. 
Published: June 2024

AbstractThe propagation of nonlinear waves, such as fires, weather fronts, and disease spread, has drawn attention since the dawn of time. A well-known example of nonlinear wave–fronts–in our daily lives is the domino waves, which propagate equally toward the left or right flank due to their reciprocal coupling. However, there are other situations where front propagation is not fully understood, such as bistable fronts with nonreciprocal coupling. These couplings are characterised by the fact that the energy emitter and receiver are not interchangeable. Here, we study the propagation of nonlinear waves in a bistable optical chain forced by nonreciprocal optical feedback. The spatiotemporal evolution and the front speeds are characterised as a function of the nonreciprocal coupling. We derive an equation to describe the interacting optical elements in a liquid crystal light valve with nonreciprocal optical feedback and compare the experimental results with numerical simulations of the coupled bistable systems.
A Tutorial for Enhancing Clarity and Transparency in Speech-Language-Hearing Sciences Intervention Research With the TIDieR
Authors: Ford Andrea L. B. , Kuchler Kirstin , Cakir-Dilek Betul , Elmquist Marianne , Finestack Lizbeth H. 
Published: June 2024

Purpose:
The speech-language-hearing sciences (SLHS) field relies on rigorous research to inform clinical practice and improve outcomes for individuals with communication, swallowing, and hearing needs. However, a significant challenge in our field is the lack of accessibility, transparency, and reproducibility of this research. Such insufficiencies limit the generalizability and impact of study findings, particularly intervention research, as it becomes difficult to replicate and use the interventions in both clinical practice and research. In this tutorial, we highlight one particularly useful tool, the Template for Intervention Description and Replication (TIDieR; Hoffmann et al., 2014) checklist, which researchers can follow to improve reproducibility practices in SLHS.

Conclusions:
We provide an overview and guide on using the TIDieR checklist with a practical example of its implementation. Additionally, we discuss the potential benefits of increased transparency and reproducibility for SLHS, including improved clinical outcomes and increased confidence in the effectiveness of interventions. We also provide specific recommendations for scientists, journal reviewers, editors, and editorial boards as they seek to adopt, implement, and encourage using the TIDieR checklist.
Cross‐scale resolution consistent network for salient object detection
Authors: Huang Xiaoyu , Liu Wei , Li Minghui , Nie Hangyu 
Published: June 2024

AbstractThe salient object detection task tries to simulate the human visual system for most eye‐catching objects or regions detection. However, due to the complexity of the visual mechanisms, current methods will suffer from severe performance degradation, leading to inconsistent prediction results for the same regions, when directly adopting a model trained on a fixed resolution to evaluate at other different resolutions. Considering that consistency in predictions is essential for salient object detection, a cross‐scale resolution consistent salient object detection method, called RCNet, is proposed. Specifically, to enhance the model's capacity for generalization across images of varying resolutions and make the model implicitly learn the scale invariance, a multi‐resolution data enhancement module is constructed to generate images with arbitrary resolutions for the same scene. Moreover, to accomplish better multi‐level feature fusion, a cross‐scale fusion module is developed to fuse high‐level semantic features and low‐level detail features. Additionally, to explicitly learn the scale invariance of the salient scores, a hybrid salient consistency loss is formulated on salient object detection with different resolutions. Comprehensive evaluations on five benchmark datasets show that RCNet achieves a highly competitive result.
Making algorithmic app use a virtuous cycle: Influence of user gratification and fatigue on algorithmic app dependence
Authors: Qiao Rui , Liu Cong , Xu Jun 
Published: June 2024

AbstractAlgorithmic recommendation technology, including news apps, social networking services (SNSs), and video or short-video apps, and is widely embedded in various mobile applications (apps), has raised concerns about potential addiction. This study constructs a model linking the uses and gratifications of algorithmic recommendation apps with algorithmic dependence, with a particular focus on fatigue as a key mediator in explaining the psychological mechanism behind the formation of algorithmic app dependence. Snowball sampling was employed for data collection, and a total of 354 valid questionnaires were collected via the online survey tool (i.e., WJX platform). The results show that the use of algorithmic recommendation apps has a direct positive effect on algorithmic app dependence. While all three types of user gratification obtained (i.e., information gratification, entertainment gratification, and expression gratification) are positively related to algorithmic app dependence, the mediating role of fatigue varies: entertainment gratification indirectly reduces algorithmic app dependence by increasing fatigue, whereas expression gratification indirectly increases algorithmic app dependence by reducing fatigue. The theoretical contributions and practical implications of the research findings are discussed.
CMOS-compatible photonic integrated circuits on thin-film ScAlN
Authors: Wang Sihao , Dhyani Veerendra , Mohanraj Sakthi Sanjeev , Shi Xiaodong , Varghese Binni , Chung Wing Wai , Huang Ding , Lim Zhi Shiuh , Zeng Qibin , Liu Huajun , Luo Xianshu , Leong Victor , Li Nanxi , Zhu Di 
Published: June 2024

Scandium aluminum nitride (ScAlN) has recently emerged as an attractive material for integrated photonics due to its favorable nonlinear optical properties and compatibility with complementary metal–oxide semiconductor (CMOS) fabrication. Despite the promising and versatile material properties, it is still an outstanding challenge to realize low-loss photonic circuits on thin-film ScAlN-on-insulator wafers. Here, we present a systematic study on the material quality of sputtered thin-film Sc0.1Al0.9N produced in a CMOS-compatible 200 mm line, including its crystallinity, roughness, and second-order optical nonlinearity, and developed an optimized fabrication process to yield 400 nm thick, fully etched waveguides. With surface polishing and annealing, we achieve micro-ring resonators with an intrinsic quality factor as high as 1.47 × 105, corresponding to a propagation loss of 2.4 dB/cm. These results serve as a critical step toward developing future large-scale, low-loss photonic integrated circuits based on ScAlN.
Development and validation of the Companion Animals Self-Expansion Scale
Authors: Ellis Annalyse , Stanton Sarah C.E. , Hawkins Roxanne D. , Loughnan Steve 
Published: June 2024

AbstractAlthough many people experience a close and complex relationship with their companion animals, our understanding and measurement of this relationship has lagged far behind that of human-human relationships. Important advances in human-human relationship concepts and measurement have yet to be applied in the context of human-companion animal relationships, including the critically relevant concept ofself-expansion(i.e. the process through which positive content is added to the self). The aim of this research was to develop and validate a new full and short-form measure of self-expansion within the human-companion animal relationship, the Companion Animals Self-Expansion Scale (CASES). The sample included in the exploratory factor analysis (EFA) phase consisted of 366 adult English-speaking companion animal owners, while the sample included in the confirmatory factor analysis (CFA) phase consisted of 368 adult English-speaking companion animal owners. All participants completed demographic questions and the CASES. Analyses revealed the full version of the CASES to be 15 items, six of which were retained for the short form of the scale based on their consistently high-factor loadings and theoretically relevant content. The CASES, as well as its short form, the CASES-SF, are both reliable and valid in measuring self-expansion within the human-companion animal relationship.
An intelligent compound fault diagnosis method using generalized zero-shot model of bearing
Authors: Cen Jian , Zhao Bichuang , Liu Xi , Huang Hankun , Chen Duheng , Huang Haolin , Chen Ke 
Published: June 2024

Abstract
Compound fault occurrence has been unpredictable, especially in industrial scenarios where it is difficult to collect a large number of labeled samples for compound fault. Based on this, this paper proposes a generative generalized zero-shot learning (GZSL) model aimed at synthesizing compound fault features through training with single fault samples. These synthesized features are then used for the recognition of compound fault. Firstly, in order to construct an accurate and effective semantic vector, the semantic generation module and discriminator are utilized to generate the semantics of compound fault. Secondly, a feature extraction module based on CNN is designed to extract various fault features from the two-dimensional time-frequency diagram. Finally, a fault semantic matching module is designed to match the feature vectors of compound faults with the generated fault semantic vectors. This enables the identification of unseen compound fault by computing their maximum similarity. The experimental results demonstrate that the proposed method achieved H scores of 75.83 and 69.24 on two real fault datasets, ensuring the correct classification of compound fault to the greatest extent possible.
Fault diagnosis method for imbalanced and unlabeled data based on bayesian graph balanced learning
Authors: Zhou Ziyou 
Published: June 2024

Abstract
In fault diagnosis, it is crucial to address the combined challenges of imbalanced sample sizes and unlabeled data. Traditional methods often generate pseudo-samples or pseudo-labels. These can lead to inaccurate diagnostic outcomes if they are not representative of the original data. To address these challenges, this paper proposes an innovative fault diagnosis method based on bayesian graph balanced learning (BGBL). Firstly, a balancing strategy was developed to tackle sample imbalance by assigning and optimizing weights for samples in imbalanced categories. Graph theory techniques were then used on unlabeled data to establish and update category beliefs. Following this, posterior estimates of samples were derived within the bayesian neural networks framework. This led to the training of a fault diagnosis model. Finally, fault diagnosis was conducted using this trained model. Three sets of experiments were conducted on the planetary gearbox fault dataset. The results showed that the proposed BGBL method significantly improved the accuracy of fault diagnosis. Specifically, under conditions of imbalanced data and missing labels, the BGBL method increased the accuracy by over 26% compared to existing methods. This demonstrates its effectiveness in these challenging scenarios.
Synergistic effect of graphene nanoplatelets and titanium dioxide nanopowder-reinforced aluminium nanohybrid composites on mechanical properties
Authors: Chaurasia Rahul , Sarangi Saroj Kumar 
Published: June 2024

Abstract
Due to their effectiveness, lightweight materials have gained international attention in recent decades, with industrial sectors being the primary users of them. Metal matrix composites with nanohybrid reinforcement are a unique composite system combination that enhances the material’s mechanical qualities. In the present article, the mechanical properties of graphene nanoplatelets (GNP) and titanium dioxide (TiO2)-reinforced aluminium 7075 alloy are discussed with varying weight percentages of reinforcements prepared by the stir casting technique. 1 wt.% GNP with and 3 wt.% TiO2-reinforced composites show optimum properties within the range of reinforcement studied, with a 71.9% increment in tensile strength and an 86.6% improvement in microhardness observed; however, elongation is decreased by 31.7% in contrast to the base alloy. Maximum toughness is found to be in 0.5 wt.% GNP with 1 wt.% TiO2-reinforced nanohybrid composites. XRD results show phase analysis. SEM analysis of the fractured surface reveals a mixture of ductile and brittle fractures.
The tenseless sunshine of the conscious mind
Authors: Torrengo Giuliano 
Published: June 2024

AbstractIn this final chapter the author considers the interaction between theorizing about temporal experience and making hypotheses about the nature of time. The aim is to show how the overall picture of temporal experience sketched in the previous chapters does not require a dynamic universe, or an objective flow, and indeed sits better with a static, block universe view. The chapter presents and contrasts two competing models of temporal experience, based on the A-theoretic and B-theoretic metaphysics respectively: the wave model and the sunshine model. The author contends that the wave model falls short in explanatory power compared to the sunshine model. The chapter defends the latter against specific objections and unveils its more profound and unexpected consequences.
Boxed In
Authors: Darby Derrick , Martinez Eduardo J 
Published: June 2024

Abstract
One’s life takes shape around identities. Race, religion, sexual orientation, and other collective identities impose scripts that dictate how one should think, act, and associate. African Americans should support reparations and affirmative action. Evangelical Christians should associate with true believers and feel outraged by same sex-marriage. Gays and lesbians should come out and engage in LBGTQ+ activism. When identities are scripted too tightly, individuals get boxed in and democracy suffers. In Boxed In: Making Identities Safe for Democracy, philosophers Derrick Darby and Eduardo J. Martinez diagnose the profound challenge that inflexible identities pose for democracy and offer a novel prescription that involves taking up civic responsibilities to search for, make visible, and attend to group differences in background, perspective, and empowerment. Using a wide range of examples from fútbol fans to Jay-Z’s beef with Oprah, to literal box-checking on the US Census, Darby and Martinez illustrate how scripting identities too tightly can box people in, and they reveal what can be done to mitigate it. Weaving philosophical analysis with empirical research on identities, coalitions, and social movements, Boxed In prescribes making identities safe for democracy by undertaking responsibilities that help people break free from tight scripts that box them in and work together while taking their differences seriously.
Identity Trouble
Authors: Darby Derrick , Martinez Eduardo J 
Published: June 2024

Abstract
This chapter analyzes the identity trouble that arises when boxing in is pervasive in the political domain, as well as the existing debate about how to respond to this trouble. It highlights four tendencies of political behavior and reasoning that are constitutive components of identity trouble, and which together comprise an ethos of boxing in. It makes the case that identity trouble and the ethos of boxing in threaten the democratic function of advancing shared goals. Responding to identity trouble requires a way to restore and maintain democratic citizens’ problem-solving capabilities, by sustaining successful democratic cooperation, despite the threat of tightly scripted identities. This chapter then summarizes the disagreement between identity politics skeptics and optimists about how to respond to identity trouble, and includes an argument that an emphasis on unity is insufficient for addressing this trouble.
Collective Self-Authorship Processes
Authors: Darby Derrick , Martinez Eduardo J 
Published: June 2024

Abstract
This chapter explains how collective self-authorship (CSA) unfolds over time through various processes. The chapter includes a taxonomy of different kinds of heterogeneity that can impact CSA: differences of background, empowerment, and perspective. Identity scripts can be more or less flexible or restrictive with respect to group heterogeneity, depending on how group members answer two key questions: Who is among us? What is required of us? This chapter also includes an analysis of the role of accountability mechanisms in making CSA processes responsive to group heterogeneity, and the chains of accountability that these mechanisms can create. It concludes with a discussion of intersectionality, an alternative approach to addressing group heterogeneity, and how it relates to the perspective defended in this book.