bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aging and the visual perception of object size
Authors: Norman J. Farley , Baig Maheen , Eaton Jerica R. , Graham Jiali D. , Vincent Taylor E. 
Published: October 2022

AbstractAn experiment evaluated the ability of 30 younger and older adults to visually judge object size under three conditions: (1) full cue, (2) in the dark, with linear perspective, and (3) in complete darkness. Each observer made repeated judgments for the same square stimuli (the task was to adjust a separation until it matched the perceived size of the squares), enabling an evaluation of precision as well as accuracy. The judgments were just as accurate in the dark with linear perspective condition as in the full cue condition, indicating that linear perspective serves as an important source of optical information to support the perception of object size). In contrast, in complete darkness (where linear perspective information was unavailable), the accuracy of the observers’ judgments was poor. Finally, there was no difference in either the accuracy or the precision of the observers’ judgments between the two age groups, despite the fact that the older adults were more than 50 years older than the younger adults (mean age of the younger and older adults was 22.3 and 74.1 years, respectively). The ability to visually perceive object size is well maintained with increasing age, unlike a number of other important visual abilities.
Antiretroviral therapy resistance mutations among HIV infected people in Kazakhstan
Authors: Mukhatayeva Ainur , Mustafa Aidana , Dzissyuk Natalya , Issanov Alpamys , Mukhatayev Zhussipbek , Bayserkin Bauyrzhan , Vermund Sten H. , Ali Syed 
Published: October 2022

AbstractIn Kazakhstan, the number of people living with HIV (PLHIV) has increased steadily by 39% since 2010. Development of antiretroviral therapy (ART) resistance mutations (ARTRM) is a major hurdle in achieving effective treatment and prevention against HIV. Using HIV pol sequences from 602 PLHIV from Kazakhstan, we analyzed ARTRMs for their association with factors that may promote development of ARTRMs. 56% PLHIV were infected with HIV subtype A6 and 42% with CRF02_AG. The ARTRM Q174K was associated with increased viral load and decreased CD4+ cell count, while infection with CRF02_AG was associated with a lower likelihood of Q174K. Interestingly, CRF02_AG was positively associated with the ARTRM L10V that, in turn, was observed frequently with darunavir administration. Infection with CRF02_AG was positively associated with the ARTRM S162A that, in turn, was frequently observed with the administration of nevirapine, also associated with lower CD4 counts. Zidovudine or Nevirapine receipt was associated with the development of the ARTRM E138A, that, in turn, was associated with lower CD4 counts. Determination of a patient’s HIV variant can help guide ART choice in Kazakhstan. For example, PLHIV infected with CRF02_AG will benefit less from darunavir and nevirapine, and emtricitabine should replace zidovudine.
Alzheimer’s disease large-scale gene expression portrait identifies exercise as the top theoretical treatment
Authors: Hill Mason A. , Gammie Stephen C. 
Published: October 2022

AbstractAlzheimer’s disease (AD) is a complex neurodegenerative disorder that affects multiple brain regions and is difficult to treat. In this study we used 22 AD large-scale gene expression datasets to identify a consistent underlying portrait of AD gene expression across multiple brain regions. Then we used the portrait as a platform for identifying treatments that could reverse AD dysregulated expression patterns. Enrichment of dysregulated AD genes included multiple processes, ranging from cell adhesion to CNS development. The three most dysregulated genes in the AD portrait were the inositol trisphosphate kinase, ITPKB (upregulated), the astrocyte specific intermediate filament protein, GFAP (upregulated), and the rho GTPase, RHOQ (upregulated). 41 of the top AD dysregulated genes were also identified in a recent human AD GWAS study, including PNOC, C4B, and BCL11A. 42 transcription factors were identified that were both dysregulated in AD and that in turn affect expression of other AD dysregulated genes. Male and female AD portraits were highly congruent. Out of over 250 treatments, three datasets for exercise or activity were identified as the top three theoretical treatments for AD via reversal of large-scale gene expression patterns. Exercise reversed expression patterns of hundreds of AD genes across multiple categories, including cytoskeleton, blood vessel development, mitochondrion, and interferon-stimulated related genes. Exercise also ranked as the best treatment across a majority of individual region-specific AD datasets and meta-analysis AD datasets. Fluoxetine also scored well and a theoretical combination of fluoxetine and exercise reversed 549 AD genes. Other positive treatments included curcumin. Comparisons of the AD portrait to a recent depression portrait revealed a high congruence of downregulated genes in both. Together, the AD portrait provides a new platform for understanding AD and identifying potential treatments for AD.
Intelligent risk prediction in public health using wearable device data
Authors: Raza Marium M. , Venkatesh Kaushik P. , Kvedar Joseph C. 
Published: October 2022

AbstractThe importance of infection risk prediction as a key public health measure has only been underscored by the COVID-19 pandemic. In a recent study, researchers use machine learning to develop an algorithm that predicts the risk of COVID-19 infection, by combining biometric data from wearable devices like Fitbit, with electronic symptom surveys. In doing so, they aim to increase the efficiency of test allocation when tracking disease spread in resource-limited settings. But the implications of technology that applies data from wearables stretch far beyond infection monitoring into healthcare delivery and research. The adoption and implementation of this type of technology will depend on regulation, impact on patient outcomes, and cost savings.
Engineering non-Hermitian skin effect with band topology in ultracold gases
Authors: Zhou Lihong , Li Haowei , Yi Wei , Cui Xiaoling 
Published: October 2022

AbstractNon-Hermitian skin effect(NHSE) describes a unique non-Hermitian phenomenon that all eigen-modes are localized near the boundary, and has profound impact on a wide range of bulk properties. In particular, topological systems with NHSE have stimulated extensive research interests recently, given the fresh theoretical and experimental challenges therein. Here we propose a readily implementable scheme for achieving NHSE with band topology in ultracold gases. Specifically, the scheme realizes the one-dimensional optical Raman lattice with two types of spin-orbit coupling (SOC) and an additional laser-induced dissipation. By tuning the dissipation and the SOC strengths, NHSE and band topology can be individually controlled such that they can coexist in a considerable parameter regime. To identify the topological phase in the presence of NHSE, we have restored the bulk-boundary correspondence by invoking the non-Bloch band theory, and discussed the dynamic signals for detection. Our work serves as a guideline for engineering topological lattices with NHSE in the highly tunable environment of cold atoms, paving the way for future studies of exotic non-Hermitian physics in a genuine quantum many-body setting.
Non-Hermitian elastodynamics in gyro-odd continuum media
Authors: Gao Penglin , Qu Yegao , Christensen Johan 
Published: October 2022

AbstractLinear elasticity has long been considered a well-established research area using conservative field theory. However, the discovery of odd-elasticity challenges the essential energy conservation assumption, which together with gyroscopic ingredients compromise the fundamental theory of elasticity, but to the same effect, enable new directions in active elastodynamics. Here, we consider two-dimensional continuum mechanics in a more general framework containing active constituents from both gyroscopic and odd-elastic effects, which gives rise to non-reciprocal and non-Hermitian elastic waves in a highly unconventional guise. We discuss how these unusual media can extract energy from odd-elastic engine cycles comprising remarkable features of stability transitions, in which the energy exchange process reverses. Beyond bulk waves, akin to the unidirectional characteristics of a 2D quantum-Hall insulator, we demonstrate the existence of non-Hermitian Rayleigh surface waves which, in contrast to the classical ones in passive solids, display one-way and interference-free transport characteristics, which even remain resilient in finite sharp or curved geometries. The findings reported here may provide new possibilities to manipulate elastic waves in unusual ways.
Permafrost degradation increases risk and large future costs of infrastructure on the Third Pole
Authors: Ran Youhua , Cheng Guodong , Dong Yuanhong , Hjort Jan , Lovecraft Amy Lauren , Kang Shichang , Tan Meibao , Li Xin 
Published: October 2022

AbstractThe damage to infrastructure caused by near-surface permafrost degradation is directly related to the well-being of 10 million people and the sustainable development on the Qinghai-Tibet Plateau, the Third Pole of the Earth. Here we identify the economic damage caused by permafrost degradation to infrastructure on the Qinghai-Tibet Plateau by integrating data-driven projection, multihazard index, and lifespan replacement model. We found that additional cost of approximately $6.31 billion will be needed to maintain the service function of current infrastructure under the historical scenario (SSP245) by 2090. While 20.9% of these potential costs can be saved with strategic adaptations. Controlling global warming to below 1.5 °C will reduce the costs by $1.32 billion relative to the 2 °C target of Paris Agreement. These findings highlight the importance of mitigating global warming and of investment in the adaptation and maintenance of infrastructure on the Qinghai-Tibet Plateau, which has a sparse population but is a climate hotspot.
Dissipativity‐based adaptive integral sliding mode control of Takagi‐Sugeno fuzzy descriptor systems
Authors: Huang Xiaorong , Huang Haibo , Peng Yiqiang , Ralescu Anca L. , Sun Shulei 
Published: October 2022

AbstractThis paper focuses on the problem of adaptive integral sliding mode control (ISMC) with dissipativity for a type of complex non‐linear system represented by Takagi‐Sugeno (T‐S) fuzzy descriptor models. First, T‐S fuzzy descriptor systems with different derivative matrices are transformed into augmented systems that have the same properties as the original systems, and an integral sliding mode surface function is designed considering the descriptor matrices. Then, based on the dissipativity theory and the non‐parallel distributed compensation (non‐PDC) method, ISMC strategies and dissipativity‐based ISMC strategies are proposed, and the system uncertainties and external disturbances with unknown upper bounds are addressed with an adaptive controller. According to the Lyapunov theory and the dissipativity theory, a fuzzy Lyapunov function is designed, and the obtained criteria are presented in the form of strict linear matrix inequalities (LMIs); this approach guarantees that the closed‐loop system is asymptotically stable and strictly dissipative. Moreover, the controller gain matrices and Lyapunov matrices are decoupled by introducing the corresponding auxiliary variables and employing Finsler's lemma. Finally, two examples are provided to illustrate the effectiveness and merit of the proposed method.
Stability analysis for large multi‐agent systems: A wave model approach
Authors: Tofighi Saeedreza , Shafiee Masoud 
Published: October 2022

AbstractA network stability test algorithm is proposed to check the stability of large‐scale multi‐agent systems (MAS). The method employs modelling and processing techniques for analyzing distributed communications in these systems. To model the data transactions within the network the Modified Fornasini‐Marchesini (MFM) model has been employed. In addition, a wave‐like model for processing the distributed data in the system has been proposed, which can ensure the stability of the entire system. This method is more general and less restrictive than other methods.
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
Authors: Huang Linfeng 
Published: October 2022

AbstractAs the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation effectively, and the multi‐objective evolutionary algorithm (MOEA) was born. Multi‐objective evolutionary algorithms help users to quickly obtain the data they want from the huge amount of complex network data, which greatly improves the efficiency. The multi objective evolutionary algorithm (MOEA) is simple, effective, and versatile, making it extremely attractive when solving multi‐objective optimisation problems. Since the distribution of the initial population affects the accuracy of the algorithm to some extent, this paper proposes to combine the mathematical calculus of evolutionary computation with the dynamics of complex networks as a way to carry out multi‐objective optimisation problems and find a more reasonable way for human information extraction. .The experimental results show that the set of non‐dominated solutions obtained by the algorithms designed is closer to the Pareto frontier, and the distribution of the searched non‐dominated solutions is more uniform.
Le stigmate, une arme préventive contre les conduites à risque ?
Authors: Peretti-Watel Patrick , Spica Laura 
Published: October 2022

Les politiques de prévention ont longtemps stigmatisé les populations ciblées sans y prendre garde.
La lutte contre l’épidémie de sida a favorisé l’émergence d’une nouvelle orthodoxie, selon laquelle
stigmatiser une population « à risques » est non seulement dommageable pour celle-ci, mais
également contre-productif pour la santé publique. Toutefois, cette orthodoxie est aujourd’hui battue
en brèche: la stigmatisation des conduites à risque, et du tabagisme en particulier, pourrait se
révéler une arme très efficace pour leur prévention. Mais ce renversement de perspective pose des
problèmes éthiques qu’il est impératif de résoudre, ce qui suppose de doter la santé publique et la
prévention d’un cadre éthique explicite, qui leur fait encore aujourd’hui cruellement défaut.
Revisiting Exome Data Identified Missed Splice Site Variant of the Asparagine Synthetase (ASNS) Gene
Authors: Al-Kasbi Ghalia , Al-Murshedi Fathiya , Al-Futaisi Amna , Al-Jabry Tariq , Zadjali Fahad , Al-Yahyaee Said , Al-Maawali Almundher 
Published: October 2022

AbstractNext-generation sequencing, such as whole-exome sequencing (WES), is increasingly used in the study of Mendelian disorders, yet many are reported as “negative.” Inappropriate variant annotation and filtering steps are reasons for missing the molecular diagnosis. Noncoding variants, including splicing mutations, are examples of variants that can be overlooked. Herein, we report a family of four affected newborns, and all presented with severe congenital microcephaly. Initial research WES analysis identified a damaging homozygous variant in NME1 gene as a possible cause of primary microcephaly phenotype in these patients. However, reanalysis of the exome data uncovered a biallelic splice site variant in asparagine synthetase gene which seems to be the possible cause of the phenotype in these patients. This study highlights the importance of revisiting the exome data and the issue of “negative” exome and the afterward approaches to identify and prove new candidate genes.
Relationships of stressors and opportunism in cross-border exchange partnership contexts: When and how monitoring matters
Authors: Zaefarian Ghasem , Robson Matthew J. , Najafi-Tavani Zhaleh , Spyropoulou Stavroula 
Published: October 2022

AbstractTransaction costs economics work has argued that monitoring procedures are needed to evaluate the extent to which overseas partners comply with their obligations. We posit that the transactional theory of stress can also inform on how to distinguish opportunists from non-opportunists. Synthesizing these two theories and using a three-study, multimethod design, we examine whether different types of stressors influence opportunism, and how and under what conditions such links are moderated by monitoring. Based on separate surveys of 209 Chinese subsidiaries’ and 232 Chinese suppliers’ cross-border intrafirm and interfirm partnerships with headquarters and buyers, respectively – in conjunction with an add-on experimental study conducted in the US – the results suggest challenge and hindrance stressors impact opportunism differently. The former exhibits a U-shaped, and the latter a positive, relationship with opportunism. We thus observe the importance of both the level and type of stress. Further, the international exchange context matters for monitoring’s efficacy. Monitoring steepens the U-shaped challenge stressors–opportunism relationship in intrafirm (not interfirm) partnerships. It however weakens the positive hindrance stressors–opportunism relationship in interfirm (not intrafirm) partnerships. The findings inform managers on when and how to use monitoring to control challenge and hindrance stressors’ links to opportunism in these contexts.
The iconicity ring model for sound symbolism
Authors: Akita Kimi , Imai Mutsumi 
Published: October 2022

Abstract
The ‘iconicity ring model’ proposed in this chapter depicts a lexicon’s evolutionary path from genuine iconicity (termed ‘primary iconicity’) to arbitrariness to another type of iconicity (termed ‘emergent iconicity’) that emerges from linguistic systematicity. The model captures the universality and language-specificity of sound symbolism and its role in lexical acquisition. Iconicity loss in ideophones illustrates the shift from primary iconicity to arbitrariness, whereas ideophonization exemplifies the shift from arbitrariness to emergent iconicity via systematicity. The two types of iconicity are mixed together in individual lexicons, providing a clue to the symbol grounding problem.
Chiastic iconicity
Authors: Harris Randy Allen 
Published: October 2022

Abstract
Chiastic structure (ABBA) leverages the iconicity principles of identity, sequential order, and quantity for consolidated iconicities of harmonious balance and cyclicity, effecting an aesthetic response that is very often but somewhat incongruously associated with mirror-image symmetry. The ABBA pattern does not effect this response alone, however. Chiastic figures collocate preferentially with other figures to achieve these effects, especially including figures of parallelism. These figural convergences, collocating additionally with certain grammatical features, raise the iconicity stakes somewhat further to enact a quite specific suite of meanings: comprehensiveness, irrelevance of order, reciprocal specification, and reciprocal energy. These claims are developed with particular attention to lexical chiasmus, the rhetorical scheme known as ‘antimetabole’.
Echoes of the past
Authors: Flaksman Maria 
Published: October 2022

Abstract
Old English texts preserve a number of imitative words which give an intriguing insight into the sphere of sound-denotation of this ancient language. The study of Anglo-Saxon texts, however, reveals that many onomatopoeic words used there are non-existent in the Present-Day English. In this paper I argue that more than a half of these imitative lexemes have become extinct or have been replaced in the course of the following 1000-year history of the English language, and that such replacement was, at least partly, predetermined by the very nature of the imitative words. This study has been conducted using both poetic texts and etymological dictionaries.
The correlation between meaning and verb formation in Japanese sound-symbolic words
Authors: Sugahara Takashi 
Published: October 2022

Abstract
This study uses quantitative analysis to explore the correlation between meaning and the verb formation of Japanese sound-symbolic words. The study shows that the verb formation of Japanese sound-symbolic words may not fit into traditional categories, such as phonomimes, phenomimes, and psychomimes, but is better categorized based on differences in the sensory modalities of the words. Furthermore, it suggests that iconicity is not a crucial factor for the verb formation of sound-symbolic words; the sharing of information between the speaker and the hearer is a more comprehensive motivation for verb formation, supported by psychological, cognitive linguistic, and typological concepts.
Cantonese and Korean speakers’ comprehension and appreciation of English textual humor
Authors: Fan Wing Yan , Jung Jookyoung 
Published: October 2022

Abstract
This study explored how L1 Cantonese and L1 Korean speakers would comprehend and appreciate L2 English humor, and whether their L1 background, English proficiency, and the type of humor would play as moderators. For this study, 69 Cantonese and 76 Korean undergraduate students answered a questionnaire that contained 30 English humor items in various types, i.e., lexical, morphological, syntactic, phonological, and cultural. In addition, five intermediate and five advanced participants from each L1 group participated in semi-structured interviews to elicit their English learning and use experiences and beliefs in the role of humor in English learning. The results revealed that humor comprehension scores were significantly higher for Cantonese speakers and for participants with advanced English proficiency, and morphological humor was the easiest to comprehend. Open-ended responses and interview protocols also demonstrated that different contexts of English learning and use may affect the participants’ ability to enjoy and appreciate English humor.
A literature review of Iranian publications on video game localization between 2009 and 2022
Authors: Vahedi Kakhki Alireza 
Published: October 2022

Abstract
Although video game localization has lately attracted the attention of researchers, with many papers and books
being devoted to this practice, it is still an underdeveloped area of Translation Studies research in Iran. The present study
provides a literature review of research carried out in Iran on video game localization since 2009 to address this gap. The
reviews revealed that studies on Iranian game localization fall into translational, social, cultural and political, and historical
categories. The review also showed that the translational aspect is the most explored area followed by social, cultural and
political, and historical aspects. The historical aspect has received the least attention in the literature, specifically in
academic publications. This paper offers potential areas for future research on game localization in Iran in each aspect.