bluuebunny/crossref_metadata_2025 huggingface dataset:
Minimally deformed anisotropic stars in dark matter halos under EGB-action
Authors: Maurya S. K. , Errehymy Abdelghani , Singh Ksh. Newton , Al-Harbi Nuha , Nisar Kottakkaran Sooppy , Abdel-Aty Abdel-Haleem
Published: October 2023

In this paper, we introduce an anisotropic model using a dark matter (DM) density profile in Einstein–Gauss–Bonnet (EGB) gravity using a gravitational decoupling method introduced by Ovalle (Phys Rev D 95:104019, 2017), which has provided an innovative approach for obtaining solutions to the EGB field equations for the spherically symmetric structure of stellar bodies. The Tolman and Finch–Skea (TFS) solutions of two metric potentials, $$g_{tt}$$

g

tt

and $$g_{rr}$$

g

rr

, have been used to construct the seed solution. Additionally, the presence of DM in DM halos distorts spacetime, causing perturbations in the $$g_{rr}$$

g

rr

metric potential, where the quantity of DM is determined by the decoupling parameter $$\beta $$
β
. The physical validity of the solution, along with stability and equilibrium analysis, has also been performed. Along with stability and equilibrium analysis, the solution’s physical validity has also been examined. Additionally, we have shown how both constants affect the physical characteristics of the solution. Using a $$M{-}R$$

M
-
R

diagram, it has been described how the DM component and the GB constant affect the maximum permissible masses and their corresponding radii for various compact objects. Our model predicts the masses beyond the $$2~M_{\odot }$$

2

M
⊙

and maximum radii $$11.92^{+0.02}_{-0.01}$$

11
.

92

-
0.01

+
0.02

and $$12.83^{+0.01}_{-0.02}$$

12
.

83

-
0.02

+
0.01

for larger value of $$\alpha $$
α
under density order $$10^{15}~\text {g}/\text {cm}^3$$

10
15

g
/

cm
3

and $$10^{14}~\text {g}/\text {cm}^3$$

10
14

g
/

cm
3

, respectively, while the radii become $$11.96^{+0.01}_{-0.01}$$

11
.

96

-
0.01

+
0.01

and $$12.81^{+0.01}_{-0.02}$$

12
.

81

-
0.02

+
0.01

for larger value of $$\beta $$
β
.
Temperature impact on the economic growth effect: method development and model performance evaluation with subnational data in China
Authors: Song Yu , Pan Zhihua , Lun Fei , Long Buju , Liu Siyu , Han Guolin , Wang Jialin , Huang Na , Zhang Ziyuan , Ma Shangqian , Sun Guofeng , Liu Cong
Published: October 2023

Temperature-economic growth relationships are computed to quantify the impact of climate change on the economy. However, model performance and differences of predictions among research complicate the use of climate econometric estimation. Machine learning methods provide an alternative that might improve the predictive effects. However, time series and extrapolation issues constrain methods such as random forests. We apply a simple thought experiment with national marginal GDP growth by aggregating subnational climate impact to alleviate the shortcomings in random forests. This paper uses random forests, multivariate cubic regression, and linear spline regression to examine the direct impacts of temperature on economic development and conducts a performance comparison of the methods. The model results indicate an optimal temperature of 15°C, 15°C or 21°C for each model. Furthermore, a thought experiment indicates that the marginal predictions of national GDP changes by approximately 1%, −3%, or −6% for models with 1°C warming. The performance comparison suggests that random forests have stable model performance and better prediction performance in bootstrapping. However, the extrapolation problem in random forests causes underestimation of climate impact in 5% of cells under 6°C warming. Overall, our results suggest that temperature should be considered in economic projections under climate change scenarios. We also suggest the use of more machine learning methods in climate impact assessment.
On Item-Sampling Evaluation for Recommender System
Authors: Li Dong , Jin Ruoming , Liu Zhenming , Ren Bin , Gao Jing , Liu Zhi
Published: October 2023

Personalized recommender systems play a crucial role in modern society, especially in e-commerce, news, and ads areas. Correctly evaluating and comparing candidate recommendation models is as essential as constructing ones. The common offline evaluation strategy is holding out some user-interacted items from training data and evaluating the performance of recommendation models based on how many items they can retrieve. Specifically, for any hold-out item or so-called target item for a user, the recommendation models try to predict the probability that the user would interact with the item and rank it among overall items, which is called
global evaluation
. Intuitively, a good recommendation model would assign high probabilities to such hold-out/target items. Based on the specific ranks, some metrics like
Recall@K
and
NDCG@K
can be calculated to further quantify the quality of the recommender model. Instead of ranking the target items among all items, Koren first proposed to rank them among a small
sampled set of items
, then quantified the performance of the models, which is called
sampling evaluation
. Ever since then, there has been a large amount of work adopting sampling evaluation due to its efficiency and frugality. In recent work, Rendle and Krichene argued that the sampling evaluation is “inconsistent” with respect to a global evaluation in terms of offline top-
K
metrics.

In this work, we first investigate the “inconsistent” phenomenon by taking a glance at the connections between sampling evaluation and global evaluation. We reveal the approximately linear relationship between sampling with respect to its global counterpart in terms of the top-
K
Recall metric. Second, we propose a new statistical perspective of the sampling evaluation—to estimate the global rank distribution of the entire population. After the estimated rank distribution is obtained, the approximation of the global metric can be further derived. Third, we extend the work of Krichene and Rendle, directly optimizing the error with ground truth, providing not only a comprehensive empirical study but also a rigorous theoretical understanding of the proposed metric estimators. To address the “blind spot” issue, where accurately estimating metrics for small top-
K
values in sampling evaluation is challenging, we propose a novel adaptive sampling method that generalizes the expectation-maximization algorithm to this setting. Last but not least, we also study the user sampling evaluation effect. This series of works outlines a clear roadmap for sampling evaluation and establishes a foundational theoretical framework. Extensive empirical studies validate the reliability of the sampling methods presented.
One-step Multi-view Clustering with Consensus Graph and Data Representation Convolution
Authors: Dornaika F.
Published: October 2023

Multi-view clustering aims to partition unlabeled patterns into disjoint clusters using consistent and complementary information derived from features of patterns in multiple views. Downstream methods perform this clustering sequentially: estimation of individual or consistent similarity matrices, spectral embedding, and clustering. In this article, we present an approach that can address some of the shortcomings of previous multiview clustering methods. We propose a single objective function whose optimization can jointly provide the consistent graph matrix for all views, the unified spectral data representation, the cluster assignments, and the view weights. We propose a new constraint term that sets the cluster index matrix to the convolution of the consistent spectral projection matrix over the consistent graph. Our proposed scheme has two interesting properties that the recent works do not have simultaneously. First, the cluster assignments can be estimated directly without the need for an additional clustering phase, which depends heavily on initialization. Second, the soft cluster assignments are directly linked to the kernel representation of the features of the views. Moreover, our method automatically computes the weights of each view, requiring fewer hyperparameters. We have conducted a series of experiments on real datasets. These demonstrate the effectiveness of the proposed approach, which compares favorably to many competing multi-view clustering methods.
Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining
Authors: Nguyen Thanh Toan , Nguyen Thanh Tam , Nguyen Thanh Hung , Yin Hongzhi , Nguyen Thanh Thi , Jo Jun , Nguyen Quoc Viet Hung
Published: October 2023

Maximal frequent subgraph mining (MFSM) is the task of mining only maximal frequent subgraphs, i.e., subgraphs that are not a part of other frequent subgraphs. Although many intelligent systems require MFSM, MFSM is challenging compared to frequent subgraph mining (FSM), as maximal frequent subgraphs lie in the middle of graph lattice, and FSM algorithms must explore an exponential space and an NP-hard subroutine of frequency counting. Different from prior research, which primarily focused on optimal solutions, we introduce pmMine, a progressive graph neural framework designed for MFSM in a single large graph to attain an approximate solution. The framework combines isomorphic graph embedding, non-parametric partitioning, and an efficiently top-down pattern searching strategy. The critical insight that makes pmMine work is to define the concepts of rooted subgraph and isomorphic graph embedding, in which the costly isomorphism subroutine can be efficiently performed using similarity estimation in embedding space. In addition, pmMine returns the patterns identified during the mining process in a progressive manner. We validate the efficiency and effectiveness of our technique through extensive experiments on a variety of datasets spanning various domains.
A Partial‐to‐Partial Point Cloud Registration Method Based on Geometric Attention Network
Authors: Chen Yi , Wang Yong , Li Jinlong , Zhang Yu , Gao Xiaorong
Published: October 2023

Partial point cloud registration is an important step in generating a full 3D model. Many deep learning‐based methods show good performance for the registration of complete point clouds but cannot deal with the registration of partial point clouds effectively. Recent methods that seek correspondences over downsampled superpoints show great potential in partial point cloud registration. Therefore, this paper proposes a partial‐to‐partial point cloud registration network based on geometric attention (GAP‐Net), which mainly includes a backbone network optimized by a spatial attention module and an overlapping attention module guided by geometric information. The former aggregates the feature information of superpoints, and the latter focuses on superpoint matching in overlapping regions. The experimental results show that the method achieves better registration performance on ModelNet and ModelLoNet with lower overlap. The rotation error is reduced by 14.49% and 17.12%, respectively, which is robust to the overlap rate.
A Contact-Less Electrically Small Antenna Sensor for Retinal Cancer Cell Detection
Authors: Rizwan Shaik , Phani Kumar Kanaparthi V. , Sandeep Kumar P. , Kumar Sachin
Published: October 2023

A new noninvasive and portable diagnostic system for detecting ocular tumors has been proposed. The system uses a contact-less electrically small antenna sensor to detect retinal cancer cells. The antenna sensor is operated in the ISM (Industrial, Scientific, and Medical) 2.413 GHz band and has electrical dimensions of 8 × 16.2 × 0.35 mm3. The antenna sensor is fabricated on a biodegradable Teslin substrate and tested in an eye-mimicking phantom to compare numerical computations with measurements. The specific absorption rate (SAR) obtained at near and far-field distances under 1 g of tissue is 1.18 W/kg and 0.353 W/kg, and that under 10 g of tissue is 0.112 W/kg and 0.313 W/kg, respectively. Furthermore, to detect the ocular tumor using the proposed antenna sensor, the resonance frequency shift, and the unsupervised machine learning technique, principle component analysis (PCA) is employed on simulated and measured results. The resonance frequency shift for a 3.5 mm radius tumor is 70 MHz for a single tumor and 120 MHz for double tumors. The PCA generates clusters with and without tumors on the positive and negative sides of the two-dimensional plot. The proposed techniques are more impactful in distinguishing between healthy and malignant tissues. The proposed systematic approach could be a portable platform for early detection of cancerous cells inside the eye.
The Association between Visit-to-Visit Variability of Blood Pressure and the Risk of Metabolic Syndrome: The Moderating Effect of Weight
Authors: Li Ruxue , Zhou Wuai , Cai Xue , Luo Dan , Zhang Huijing , Li Mingzi
Published: October 2023

Aims. Metabolic syndrome (MetS) affects approximately one-third of the global population. Visit-to-visit variability of blood pressure (VVV-BP) constitutes a substantial risk factor for numerous chronic conditions. Thus, this study aimed to assess the relationship between VVV-BP and MetS and identify potential moderating factors between these. Methods. Data were obtained from the China Health and Retirement Longitudinal Study, a nationally representative study. Multiple logistic regression analyses were utilized to explore the association between VVV-BP and MetS while incorporating moderation analyses. MetS was defined according to the criteria outlined in the Joint Interim Statement. VVV-BP was expressed by the standard deviation, coefficient of variation, average real variability, and root mean square error. Results. Individuals with the highest levels of VVV of systolic blood pressure (SBP) exhibited a 70% increased risk of MetS compared to those with the lowest levels (OR = 1.70, 95% CI = 1.31–2.21). In addition, they had a 41% increased risk of VVV of diastolic blood pressure (DBP) (OR = 1.41, 95% CI = 1.09–1.81). Notably, weight change status significantly influenced the relationship between VVV-BP and MetS (Pinteraction = 0.01). Conclusions. VVV-BP is a significant contributor to the risk of developing MetS. Importantly, individuals who experienced weight loss during the follow-up period did not face a significantly higher risk of developing MetS.
Silver Nanoparticles Biosynthesized Using Azadirachta indica Fruit and Leaf Extracts: Optimization, Characterization, and Anticancer Activity
Authors: Alharbi Njud S. , Alsubhi Nehad S.
Published: October 2023

Silver nanoparticles (AgNPs) are becoming increasingly important for various crucial applications, including antimicrobial, anticancer, catalytic, and anti-inflammatory. AgNPs biosynthesized from plant extracts have attracted considerable attention because of their eco-friendliness, simplicity, cost-effectiveness, and stability. This study investigated the potential of using fruit and leaf extracts of the medicinal plant Azadirachta indica as a capping and reducing agent for the biosynthesis of AgNPs. The size, shape, and optical properties of AgNPs significantly affect their chemical, physical, and biological activity. Therefore, this study optimized the biosynthesis conditions as a first attempt for A. indica fruit extracts to produce AgNPs with precise morphology. Subsequently, the biologically manufactured AgNPs were characterized using suitable techniques. Their potential anticancer activities were examined against in vitro human lung and breast cancer (H1975 and MCF-7) cell lines. The AgNPs were stable, with a high yield and a spherical shape, ranging in size from 14 to 19 nm and exhibiting an absorption band between 420 and 440 nm. The AgNPs biosynthesized using A. indica fruit and leaf extracts were shown to be highly toxic against in vitro H1975, with IC50 of 62.2 and 91 µg/mL, respectively. The IC50 values were 67.5 and 68.7 µg/mL when testing against the MCF-7 cells. These findings suggest that plant-derived nanoparticles have enormous potential for future biomedical applications, which warrants further investigation.
PKCδ Regulates Chromatin Remodeling and DNA Repair through SIRT6
Authors: Affandi Trisiani , Haas Ami , Ohm Angela M. , Wright Gregory M. , Black Joshua C. , Reyland Mary E.
Published: October 2023

Irradiation (IR) is a highly effective cancer therapy; however, IR damage to tumor-adjacent healthy tissues can result in significant comorbidities and potentially limit the course of therapy. We have previously shown that protein kinase C delta (PKCδ) is required for IR-induced apoptosis and that inhibition of PKCδ activity provides radioprotection in vivo. Here we show that PKCδ regulates histone modification, chromatin accessibility, and double-stranded break (DSB) repair through a mechanism that requires Sirtuin 6 (SIRT6). Overexpression of PKCδ promotes genomic instability and increases DNA damage and apoptosis. Conversely, depletion of PKCδ increases DNA repair via nonhomologous end joining (NHEJ) and homologous recombination (HR) as evidenced by increased formation of DNA damage foci, increased expression of DNA repair proteins, and increased repair of NHEJ and HR fluorescent reporter constructs. Nuclease sensitivity indicates that PKCδ depletion is associated with more open chromatin, while overexpression of PKCδ reduces chromatin accessibility. Epiproteome analysis reveals increased chromatin associated H3K36me2 in PKCδ-depleted cells which is accompanied by chromatin disassociation of KDM2A. We identify SIRT6 as a downstream mediator of PKCδ. PKCδ-depleted cells have increased SIRT6 expression, and depletion of SIRT6 reverses changes in chromatin accessibility, histone modification and DSB repair in PKCδ-depleted cells. Furthermore, depletion of SIRT6 reverses radioprotection in PKCδ-depleted cells. Our studies describe a novel pathway whereby PKCδ orchestrates SIRT6-dependent changes in chromatin accessibility to regulate DNA repair, and define a mechanism for regulation of radiation-induced apoptosis by PKCδ.

Implications:

PKCδ controls sensitivity to irradiation by regulating DNA repair.
Tuberculosis Case Detection and Guideline Adherence among Child Contacts in Switzerland: A Retrospective Observational Study
Authors: Gasser Nathalie , Fritschi Nora , Egger Jean-Marie , Ritz Nicole , Schoch Otto D. , Zellweger Jean-Pierre
Published: October 2023

Background: Children exposed to a tuberculosis (TB) index case are at risk of TB infection and disease. Objectives: The aim of this study was to describe the proportion of child contacts who developed TB infection or disease after exposure and to assess the diagnostic pathways and adherence to current guidelines. Methods: Retrospective observational study including children ≤16 years of age who had contact to a TB index case between January 2019 and July 2021. Analysis was stratified by age groups 0–4, 5–11, and 12–16 years. Results: Of 401 TB-exposed children, data were available for 380 (95%). Of those, 7 (2%) were diagnosed with TB disease and 35 (9%) with TB infection. We identified several deviations in the management compared to recommendations in national Swiss guidelines: In the children aged 0–4 years, only 82% were examined with an immunodiagnostic test or a chest radiography within 2 weeks after last contact. Recommended prophylactic treatment was prescribed in 66% of the children only. In the children aged 5–11 years, 64% were tested with an immunodiagnostic test in a first examination and 75% in a second examination, 2 weeks and 2 months after last contact, respectively. Conclusions: Contact investigations of children exposed to a TB index case identified a significant proportion of children with TB infection and disease in a low TB incidence setting. We observed significant deviations from the guidelines in the contact investigations suggesting the need for improved implementation.
The Intersection between Bacterial Metabolism and Innate Immunity
Authors: Acosta Ivan C. , Alonzo III Francis
Published: October 2023

Background: The innate immune system is the first line of defense against microbial pathogens and is essential for maintaining good health. If pathogens breach innate barriers, the likelihood of infection is significantly increased. Many bacterial pathogens pose a threat to human health on account of their ability to evade innate immunity and survive in growth-restricted environments. These pathogens have evolved sophisticated strategies to obtain nutrients as well as manipulate innate immune responses, resulting in disease or chronic infection. Summary: The relationship between bacterial metabolism and innate immunity is complex. Although aspects of bacterial metabolism can be beneficial to the host, particularly those related to the microbiota and barrier integrity, others can be harmful. Several bacterial pathogens harness metabolism to evade immune responses and persist during infection. The study of these adaptive traits provides insight into the roles of microbial metabolism in pathogenesis that extend beyond energy balance. This review considers recent studies on bacterial metabolic pathways that promote infection by circumventing several facets of the innate immune system. We also discuss relationships between innate immunity and antibiotics and highlight future directions for research in this field. Key Messages: Pathogenic bacteria have a remarkable capacity to harness metabolism to manipulate immune responses and promote pathogenesis. While we are beginning to understand the multifaceted and complex metabolic adaptations that occur during infection, there is still much to uncover with future research.
Relationship between FAMACHA© scores and zootechnical indicators of a sheep production system
Authors: Rodrigues Gustavo Roberto Dias , Siqueira Marco Túlio Santos , Silveira Naiara Cristina dos Santos , Silva Natascha Almeida Marques da , Macedo Júnior Gilberto de Lima , Moraes Fernanda Rosalinski , Raineri Camila
Published: October 2023

In Brazil, lamb producers face challenges raising their animals because of high anthelmintic resistance and loss of productivity due to parasites. It is well known that parasitic infections can reduce the performance of sheep. However, until the publication of this work, no research was found that quantified the effects that anemia reflected by FAMACHA© scores can exert on other zootechnical indicators in a lamb production system. The objective of this study was to use the FAMACHA© scores to quantify the impacts of anemia in ewes at breeding and lambing on the productive and reproductive performance of a meat sheep flock. The variables evaluated were i) FAMACHA© score of ewes at breeding and lambing, ii) body condition score of ewes at breeding and at lambing, iii) average daily gain of lambs until weaning, iv) ewe’s age, v) birth weights per individual lamb and litter, vi) weaning weight, vii) ewe’s weight, viii) litter size and ix) pre-weaning survival. The treatments evaluated corresponded to the FAMACHA© score of the ewes during breeding and lambing. Quantitative responses were submitted to analyses of variance and compared by Duncan’s test. In contrast, qualitative or discrete responses were evaluated by the Kruskal & Wallis test and compared to Dunn’s test. The Wilcoxon test was performed to compare the FAMACHA© scores of ewes at breeding and lambing. All statistical analyzes were performed using the R-Studio software version 4.2.0 at a 5% significance level. The FAMACHA© score of breeding ewes was related to the body condition score at breeding, ewe weight, pre-weaning survival, ewe age, litter size, and birth weight. Furthermore, the FAMACHA© score of ewes at lambing was related to the body condition score at lambing, ewe weight, pre-weaning survival, birth weight per lamb and litter, pre-weaning average daily gain, weaning weight, and age of the ewe. There was no significant difference between the test times of the FAMACHA© scores of the ewes, indicating that an ewe will present a similar score at both stages. It was concluded that ewes with FAMACHA© scores of 4 and 5 and their offspring showed the worst productive and reproductive performances. Conversely, the ewes with FAMACHA© 1 obtained the opposite result, demonstrating better technical performance.
(Auto)figurações de um crítico: Ricardo Piglia e a teoria crítica francesa
Authors: Almeida Gabriel Zupiroli de
Published: October 2023

O presente trabalho procura investigar certa figuração de Ricardo Piglia como crítico literário em uma intersecção entre dois campos de sua escrita: tanto sua participação como editor no periódico Los Libros (1969-1976), quanto as entradas diarísticas de sua obra Los diarios de Emilio Renzi (2015-2017), com especial enfoque no primeiro volume, Años de formación. A produção crítica e teórica do autor nesses dois veículos aparece sob uma forte linha de influência que ressoa seu repertório de juventude: a teoria crítica francesa, que contamina a produção argentina dos anos 60 e 70. Tanto através de análises e resenhas publicados no periódico, quanto em entradas específicas do diário, é possível observar a figuração de um autor-crítico que percorre os períodos de formação de Piglia. Nessas produções, cuja influência literária abrange Roland Barthes e outros autores do “telquelismo”, nos interessa justamente localizar tal figuração e analisar como esta dialoga diretamente com as distintas heranças francesas de sua época, tanto no campo da teoria e crítica literária, quanto no das posições políticas que se transportam para dentro do texto.
Raúl Antelo y sus guiones de extimidad: La escena primitiva y sy relación con el pensamiento estético europeo
Authors: Cámara Mario
Published: October 2023

El presente artículo analiza la producción crítica de Raúl Antelo tomando como eje central sus investigaciones sobre viajeros y lectores en las primeras décadas del siglo XX que se interesaron en las culturas primitivas de Latinoamérica, en el marco de un interés generalizado por el pensamiento mítico. El artículo propone, asimismo, que ese interés por el pensamiento mítico es resultado de una crisis generalizada de la razón europea y del proyecto iluminista. Por último, el texto destaca que esos viajes y lecturas poseen un efecto deconstructivo para las narraciones, tanto críticas como estéticas, que suelen pensar la relación entre Europa y Latinoamérica como una relación de dependencia cultural. Las investigaciones de Antelo, en este sentido, buscan exhibir una red de circulaciones que tienen un efecto de descentramiento en cualquier intento de construcción de un relato lineal sobre la configuración de un pensamiento estético durante las primeras décadas del siglo pasado.
Relações Públicas e capital relacional: bases teóricas e premissas para um modelo de mensuração
Authors: Dreyer Bianca Marder , Lopes Valéria de Siqueira Castro
Published: October 2023

A revisão da literatura sobre os temas gestão de relacionamentos e mensuração de resultados aponta para a necessidade de reflexão acerca da contribuição das Relações Públicas para a geração de valor por meio da gestão do capital relacional. Com este propósito, o presente artigo busca apontar as bases teóricas e premissas para a proposição de um modelo de avaliação e mensuração de processos e resultados da gestão de relacionamentos em comunicação organizacional e relações públicas.
Ciudades vibrantes: sonido y experiencia aural urbana en América Latina
Authors: Lopes Henrique Masera
Published: October 2023

Esta é uma resenha do livro Ciudades Vibrantes: sonido y experiencia aural urbana en América Latina. Editado pela musicóloga mexicana Natalia Bieletto-Bueno, a publicação reúne textos de pesquisadores do Brasil, Argentina, Chile e México, compilados em quatro seções temáticas. A resenha apresenta cada um dos estudos de caso do livro, oferecendo ao leitor um panorama dos principais temas e conceitos trabalhados ao longo da obra.
O teatro, lugar onde se escuta: Entrevista com Marie-Madeleine Mervant-Roux
Authors: Bessa Virgínia de Almeida
Published: October 2023

Marie-Madeleine Mervant-Roux est directrice de recherche émérite au CNRS (Centre national de la recherche scientifique), membre du laboratoire THALIM (Théorie et histoire des arts et des littératures de la modernité), unité mixte de recherche sous la triple tutelle du CNRS, de l’ENS (École normale supérieure) et de l’université Sorbonne Nouvelle (Paris 3). Depuis plus de trois décennies, elle mène des recherches sur le théâtre dans le contexte français et a publié, entre autres livres, L’Assise du théâtre : pour une étude du spectateur (CNRS éditions, 1998) et Du théâtre amateur : approche historique et anthropologique (CNRS éditions, 2004).
História e Cultura Sonora: a historicização das escutas e dos sons
Authors: Bessa Virgina de Almeida , González Juliana Pérez , Machado Cacá , Moraes José Geraldo Vinci de
Published: October 2023

The article provides an overview of recent production focused on the historicization of sounds and listening, present in the texts that compose the dossier História e Cultura Sonora. In general, it is possible to indicate that three major currents prevail in these works: the anglophone Sound Studies, the History of Sensibilities of French tradition and Latin American studies, which, although inspired by the previous two, strive not to confine themselves to classical discussions but to reflect on the specificities of sound production and modes of listening within their cultures. The text also evaluates the impact of phonography and the digitization of sound collections on historiographical production in the field of Sound Culture.
New generalized class of estimators for estimation of finite population mean based on probability proportional to size sampling using two auxiliary variables: A simulation study
Authors: Ahmad Sohaib , Shabbir Javid , Zahid Erum , Aamir Muhammad , Alqawba Mohammed
Published: October 2023

This article aims to suggest a new generalized class of estimators based on probability proportional to size sampling using two auxiliary variables. The numerical expressions for the bias and mean squared error (MSE) are derived up to the first order of approximation. Four actual data sets are used to examine the performances of a new improved generalized class of estimators. From the results of real data sets, it is examined that the suggested estimator gives the minimum MSE and the percentage relative efficiency is higher than all existing estimators, which shows the importance of the new generalized class of estimators. To check the strength and generalizability of our proposed class of estimators, a simulation study is also accompanied. The consequence of the simulation study shows the worth of newly found proposed class estimators. Overall, we get to the conclusion that the proposed estimator outperforms as compared to all other estimators taken into account in this study.
By sharing our loss, we fight: Collective expressions of grief in the digital age
Authors: Proust Valentina
Published: October 2023

This essay explores the potential of digital mourning for activists and social movements, enabling them to navigate the injuries inflicted by hegemonic powers and harness these experiences as a meaningful force for social change. Through a literature review of scholarly works on mourning within digital platforms, the article identifies theories and characterizations that foster critical reflections on the significance of these online instances. Moreover, by presenting three examples of digital mourning activism (Black Lives Matter, COVID-19 protests, and the Arab Spring), the paper highlights the significance of digital platforms as spaces for collective mourning, shaping public opinion, building collective memory, and driving activism beyond the digital realm. Overall, this essay aims to contribute to a deeper understanding of digital mourning as an empowering tool for activism, shedding light on its role in facilitating meaning-making processes and fostering the potential for profound social change in the face of systemic challenges and injustices.
Mind-altering Cycads? Preliminary Evidence of Psychoactive Effects in Cycadales
Authors: Bonta Mark
Published: October 2023

This article examines historical and contemporary evidence for the importance of cycads as sources of psychoactive experiences for ritual and recreational purposes. Methods used include critical analysis and comparison of published and gray literature as well as ethnographic accounts gathered by the author in Mexico and South Africa. The consumption of cycad parts (pollen, coralloid root, and caudex) to derive an intentional psychoactive effect as a drug may implicate the neurotoxic amino acid BMAA, while fermentation and distillation of cycad starch result in intoxication from alcohol. Cycad ingestion is related to medicinal uses, magico-religious practice, and sexual stimulation as an aphrodisiac. Interconnections between these functions, the ceremonial importance of cycads, and conservation implications are discussed. Conclusions include the need to better understand effects on users and on cycad populations, and the potential pitfalls and opportunities psychoactive uses present for community-based conservation.
Role of multiparametric MRI in predicting muscle invasiveness in urinary bladder neoplasms with pathological correlations
Authors: Tandon Mrinal , Chakraborty Sumit , Barkondaj Bikramjit , Choudhury Sunirmal , Pal Dilip Kumar
Published: October 2023

Urinary bladder cancer (BC) is one of the most frequent malignancies and the ninth most common malignancy worldwide. The objective of this study is to assess the role of multiparametric magnetic resonance imaging (mp-MRI) in predicting the invasiveness of urinary bladder space occupying lesions. Thirty-five patients diagnosed with bladder masses underwent an mp-MRI study. The results of three image sets were analysed and compared with the histopathological results as a reference standard: T2-weighted image (T2WI) plus dynamic contrast-enhanced (DCE), T2WI plus diffusion-weighted images (DWI), and mp-MRI, including T2WI plus DWI and DCE. The diagnostic accuracy of mp-MRI was evaluated using receiver operating characteristic curve analysis. We discovered a highly significant correlation between muscle invasiveness as staged by HPE (Histopathological examination) and mp-MRI utilising a VI-RADS score >3 ( p 0.001) with a sensitivity of 100% and a specificity of 85.7%. With a diagnostic accuracy of 77.14%, a sensitivity of 92.31%, a specificity of 72.72%, a positive predictive value of 66.67%, and a negative predictive value of 94.11%, In terms of muscle invasiveness, there is good concordance between HPE staging and mp-MRI utilising the VI-RADS score. The mean apparent diffusion coefficient (ADC) values were higher in low grades than in high grades. The ROC curve study revealed a very strong correlation between HPE grade and ADC ( p = 0.045). In 77.14% of patients, Mp-MRI correctly identified the local T stage. Mp-MRI is imaging biomarker for invasiveness and grade of tumour. The tumours with high grade are more invasive. However, the diagnostic accuracy of mp-MRI in determining muscle invasiveness is not very high and it overstages the disease in some cases (33.3%). Its clinical usefulness in determining muscle invasiveness before TURBT and histopathological examination can be questioned.
Inhibition of GPR30 sensitized gefitinib to NSCLC cells via regulation of epithelial-mesenchymal transition
Authors: Yang Xiaomin , Jiang Hongyan , Ning Jiang , Zhang Shufen , Cai Ying , Wang Liang , Yang Jinsong , Xu Guodong , Chen Wei , Wang Jianfei
Published: October 2023

Introduction: G-protein coupled receptor 30 (GPR30) is associated with cell metastasis and drug resistance in many different cancer cells. The present study aimed to reveal the sensitivity of GPR30 to gefitinib in non-small cell lung cancer (NSCLC) cells.

Methods: Cell viability and proliferation were detected using cell counting kit 8 and 5-ethynyl-2'-deoxyuridine assays, respectively. Western blotting and quantitative real-time reverse transcription PCR were used to detect GPR30 or epithelial-mesenchyme transition (EMT)-related mRNA and protein expression.

Results: The results showed that GPR30 expression is associated with gefitinib sensitivity. G15, as a GPR30 antagonist, reduced GPR30 expression. We chose the maximum concentration of G15 with minimal cytotoxicity to detect cell viability after combined treatment with gefitinib in NSCLC cells, which indicated that G15 could increase sensitivity to gefitinib. However, the effect of G15 on gefitinib sensitivity disappeared after treatment with a small interfering RNA targeting GPR30. Further research showed that G15 or GPR30 siRNA treatment could upregulate E-cadherin and downregulate vimentin levels.

Conclusion: Taken together, these data suggested that G15 could enhance NSCLC sensitivity to gefitinib by inhibition of GPR30 and EMT.
Shift or Pivot? Market Entry and Exit With Linear Supply and Demand Curves
Authors: Eisenhauer Joseph G.
Published: October 2023

Textbooks commonly misrepresent the effects of market entry and exit by consumers and producers as parallel shifts of linear market demand and supply curves. Such portrayals are inconsistent with the underlying premise that a market-level curve is the horizontal summation of individual-level curves. A more accurate depiction is a pivot: entry flattens (and exit steepens) a market-level curve. Reconceiving the effects of entry and exit as pivoting, rather than shifting, the curve has important implications for own-price elasticities, consumer surplus, producer surplus, the incidence of taxation, and the competitive market adjustment to a long run equilibrium.

JEL codes: A22, B40, D01
Tell me the truth? Dictatorship and the commitment to media freedom
Authors: Sheen Greg Chih-Hsin , Tung Hans H. , Wu Wen-Chin
Published: October 2023

The emerging political economy literature on dictatorial media politics rationalizes the cross-country variation in media freedom by dictators’ demand for truthful information. Since a dictator can always punish the media for their truth-telling ex post, concerns of being punished could induce self-censorship and undermine the dictator’s promise to media freedom. We study a formal model that brings the dictator’s commitment problem to the fore, and characterize situations in which the commitment problem is especially severe. Our analysis suggests that neglecting self-censorship would lead to underestimating the amount of missing information in autocracies as well as overestimating the autocrats’ level of tolerance for criticisms and authoritarian responsiveness. Based on the comparative statics, we contend that the variation in media outlets’ quality and penetration can be leveraged to recover missing information due to self-censorship.
Regression analysis of a future state entry time distribution conditional on a past state occupation in a progressive multistate model
Authors: Yang Yuting , Wu Samuel , Datta Somnath
Published: October 2023

We present a nonparametric method for estimating the conditional future state entry probabilities and distributions of state entry time conditional on a past state visit when data are subject to dependent censorings in a progressive multistate model where Markovianity of the system is not assumed. These estimators are constructed using the competing risk techniques with risk sets consisting of fractional observations and inverse probability of censoring weights. The fractional observations correspond to estimates of the number of persons who ultimately enter a state from which the future state in question can be reached in one step. We then address the corresponding regression problem by combining these marginal estimators with the pseudo-value approach. The performance of our regression scheme is studied using a comprehensive simulation study. An analysis of existing data on graft-versus-host disease for bone marrow transplant individuals is presented using our novel methodology. A second analysis of another well-known data set on burn patients is also included.
Trust in healthcare professionals of people with chronic cardiovascular disease
Authors: Čáp Juraj , Miertová Michaela , Bóriková Ivana , Žiaková Katarína , Tomagová Martina , Gurková Elena
Published: October 2023

Background

Trust is an essential phenomenon of relationship between patients and healthcare professionals and can be described as an accepted vulnerability to the power of another person over something that one cares about in virtue of goodwill toward the trustor. This characterization of interpersonal trust appears to be adequate for patients suffering from chronic illness. Trust is especially important in the context of chronic cardiovascular diseases as one of the main global health problems.

Research Aim

The purpose of the qualitative study was to gain a deeper understanding of how people with chronic cardiovascular disease experience and make sense of trust in healthcare professionals.

Research Design

Eleven semi-structured interviews with participants analysed using interpretative phenomenological analysis to explore in detail their lived experience of trust as a relational phenomenon.

Participants and Research Context

Participants with chronic cardiovascular disease were purposively recruited from inpatients on the cardiology ward of the university hospital located in central Slovakia.

Ethical Considerations

The study was approved by the faculty ethics committee. Participants gave their written informed consent.

Findings Four Interrelated Group Experiential Themes

Sense of co-existence; Belief in competence; Will to help; Ontological security with eight subthemes were identified. The findings describe the participants' experience with trust in healthcare professionals as a phenomenon of close co-existence, which is rooted in the participants’ vulnerability and dependence on the goodwill and competence of health professionals to help with the consequence of (re)establishing a sense of ontological security in the situation of chronic illness.

Conclusion

Findings will contribute to an in-depth understanding of trust as an existential dimension of human co-existence and an ethical requirement of healthcare practice, inspire patient empowerment interventions, support adherence to treatment, and person-centred care.
How has the media's construction of a discourse of nationalism evolved? Critical discourse analysis of Korean sports nationalism through the FIFA World Cup
Authors: Kim Woochul
Published: October 2023

Drawing on Fairclough's critical discourse analysis, this study sheds light on sports nationalism and traces changes in the media's discursive construction of the Korean national football team over time by analyzing news articles from three different World Cups. Korean sports nationalism has evolved in complex ways and has been influenced by a combination of factors, including the colonial experience, initiatives by the former military government, the hosting of mega-sporting events, local professional leagues, and the globalization of athletes on the world stage. Given the multifaceted nature of Korean sports nationalism, this study aims to examine how it has changed in response to social transformations, particularly the impact of neoliberal globalization. The findings reveal that sports nationalism is often manifested in the terms of “fighting spirit” or “sacrifice” as a core national trait. However, it increasingly incorporates and embraces a new neoliberal meritocratic culture and subjectivity that foregrounds individual success on the world stage as a new form of nationalism in an era of accelerating globalized and commodified sports elitism.
Network Analysis of Posttraumatic Growth Dimensions: A Cross-Sectional Study in People Who Experienced the Death of a Loved One from COVID-19 in 16 Latin American Countries
Authors: Caycho-Rodríguez Tomás , Baños-Chaparro Jonatan , Ventura-León José , Vilca Lindsey W. , Carbajal-León Carlos , Valencia Pablo D. , Yupanqui-Lorenzo Daniel E. , Paredes-Angeles Rubí , Arias Gallegos Walter L. , Reyes-Bossio Mario , Delgado-Campusano Mariel , Gallegos Miguel , Rojas-Jara Claudio , Polanco-Carrasco Roberto , Cervigni Mauricio , Martino Pablo , Lobos-Rivera Marlon Elías , Moreta-Herrera Rodrigo , Palacios Segura Diego Alejandro , Samaniego-Pinho Antonio , Buschiazzo Figares Andrés , Puerta-Cortés Diana Ximena , Camargo Andrés , Torales Julio , Monge Blanco J. Arkangel , González Pedronel , Smith-Castro Vanessa , Petzold-Rodriguez Olimpia , Corrales-Reyes Ibraín Enrique , Calderón Raymundo , Matute Rivera Wendy Yamilet , Ferrufino-Borja Daniela , Muñoz-del-Carpio-Toia Agueda , Palacios Jorge , Burgos-Videla Carmen , Florez León Ana María Eduviges , Vergara Ibeth , Vega Diego , Schulmeyer Marion K. , Barria-Asenjo Nicol A. , Urrutia Rios Hassell Tatiana , Lira Lira Arelly Esther , Ayala-Colqui Jesús
Published: October 2023

The present study aimed to apply a network analysis model to provide an exploratory empirical conceptualization of dynamic networks of posttraumatic growth (PTG) symptoms in 7,434 people who experienced the death of a loved one from COVID-19 in 16 Latin American countries. The Post-Traumatic Growth Inventory: Short Form of Eight Items was used. A non-regularized network with partial correlation coefficients was estimated through the ggmModSelect algorithm. The network architecture was analyzed for each country through its local properties and global properties. The results indicated that the networks differed significantly between countries. The core dimensions in the networks were relating to others, personal strength, and life value and opportunities, which were more related dimensions that reinforce the emergence of PTG in all countries. The findings may be useful to motivate researchers and mental health professionals to consider the importance of the individual dimensions of PTG in groups of people who experienced the death of a loved one from COVID-19 in 16 Latin American countries, as well as their interrelationships.
Influence of Joint Line Level on Clinical Outcomes and Range of Motion in Total Ankle Arthroplasty
Authors: Palma Joaquin , Shaffrey Isabel , Kim Jaeyoung , Cororaton Agnes , Henry Jensen , Ellis Scott J. , Demetracopoulos Constantine A.
Published: October 2023

Background:

Ankle arthritis leads to an elevated joint line compared to the nonarthritic ankle, as measured by the “joint line height ratio” (JLHR). Previous work has shown that the JLHR may remain elevated after total ankle arthroplasty (TAA). However, the clinical impact of this has yet to be determined. This study assessed the correlation between postoperative JLHR, post-TAA range of motion (ROM), and 1-year Patient-Reported Outcome Measurement Information System (PROMIS) scores.

Methods:

A retrospective review of 150 patients who underwent primary TAA was performed. Preoperative and postoperative JLHR, as well as postoperative dorsiflexion, plantarflexion, and total ROM, was calculated on weightbearing radiographs at a minimum of 1-year follow-up. Correlation between JLHR, post-TAA ROM, and 1-year PROMIS scores was investigated using Pearson correlation and multiple linear regression models. Interobserver reliability for the JLHR was also calculated.

Results:

Interobserver reliability for the JLHR was excellent ( r = 0.98). Mean (SD) JLHR changed from 1.66 (0.45) to 1.55 (0.26) after TAA ( P < .001), indicating that the joint line was lowered after TAA. An elevated joint line was correlated with decreased post-TAA dorsiflexion ( r = −0.26, P < .001), total ROM ( r = −0.18, P = .025), and worse 1-year PROMIS physical function ( r = −0.22, P = .046), pain intensity ( r = 0.22, P = .042), and pain interference ( r = 0.29, P = .007). There was no correlation between the JLHR and post-TAA plantarflexion ( r = −0.025, P = .76). Regression analysis identified a 0.5-degree reduction in post-TAA dorsiflexion with each 0.1-unit increase in JLHR (Coeff. = −5.13, P = .005).

Conclusion:

In this patient cohort, we found that an elevated joint line modestly correlated with decreased postoperative dorsiflexion, total ROM, and worse 1-year PROMIS scores. These data suggest that effort likely should be made toward restoring the native joint line at the time of TAA. In addition, future studies investigating the clinical outcomes after TAA may consider including a measure of joint line height, such as the JLHR, because we found it was associated with patient-reported outcomes.

Level of Evidence:

Level III, retrospective review of prospectively collected data.