bluuebunny/crossref_metadata_2025_split huggingface dataset:
Autoethnography of a Japanese academic in an Australian university: the development and changes of professional identity
Authors: Yoshida Reiko 
Published: January 2024

AbstractThis study uses autoethnography to examine the development of and changes in my professional identity through my study and work experiences since I came to Australia from Japan. I am currently an academic teaching Japanese language and research in the field of applied linguistics in an Australian university. I wrote a self-narrative about my experiences and the related emotions covering the time of my arrival in Australia from Japan in 1997. Because teaching and research are the major roles in my current position, I coded the narrative for statements concerning my teacher identity and my researcher identity. After reading the narratives and repeatedly reviewing the coding, I produced stories about my teacher and researcher identities. The development and changes of my professional identity were closely linked to sociopolitical aspects of my work in my immediate teaching and research contexts and to my linguistic and cultural backgrounds. My relationships with students and research colleagues tended to trigger positive emotions and contribute to the development of a positive professional identity, whereas relationships with higher management at the university were likely to cause negative emotions and contribute to the development of a negative professional identity.
Ageism and age anxiety experienced by Chinese doctoral students in enacting a “successful” career script in academia
Authors: Horta Hugo , Li Huan 
Published: January 2024

AbstractThis paper employs the notion of a “career script” as a conceptual basis to examine how age-based academic career norms are internalized, strategized, and reproduced among PhD students aspiring to become academics. It draws on interviews with 70 PhD students at leading universities in mainland China, Hong Kong, and Macau that were organized and explored using narrative inquiry. The findings suggest that the tournament-like, age-based career scripts are primarily shaped by institutional policies on recruitment and funding applications and reinforced through social interactions. Doctoral students internalize the established criteria for success defined by the career scripts and stigmatize those who lag behind in the attainment of institutionally predetermined milestones, thus discouraging any attempt to rescript career norms. While enacting successful career scripts, students experience age and temporal anxiety at a fairly young age, exacerbating ageism in the academic labor market.
Trajectories of Post-Sustainability
Authors: Adloff Frank 
Published: January 2024

AbstractFaced with climate change and other ecological crises, sustainability has become an inescapable normative framework for organizations and societies worldwide. However, it conceals very different practices and imaginaries of a sustainable future. Firstly, this article introduces the three imaginaries of modernization, transformation, and control and explores what chances of implementation these trajectories have. Modernization is the dominant path driven by governments and corporations, transformation efforts by civil society actors are marginalized, and control is currently becoming more influential as a trajectory in the wake of a renaissance of strong nation-states. Secondly, this article works out the idea that sustainability, in the sense of an open future, is no longer achievable. Too many ecological burdens already exist, or can no longer be averted, so much so that one should be speaking instead about the politics of post-sustainability. It is highly probable that catastrophes and social collapses can no longer be prevented, and a rapid decarbonization of economies and societies in the coming years is so unlikely that the question thus arises as to how positive visions of the future for living together can still be derived from this. Finally, using the example of the rights of nature, it is discussed how there can, nevertheless, be forms of conviviality that could (albeit slowly) grow out of the multiple social and ecological crises and which are based on an amalgam of modernization, transformation, and control.
The 12 October 2021, $$M_W$$=6.4, Zakros, Crete earthquake
Authors: Lentas Konstantinos , Gkarlaouni Charikleia , Kalligeris Nikos , Melis Nikolaos S. 
Published: January 2024

AbstractWe study the strong 12 October 2021, $$M_W$$

M
W

=6.4, offshore Zakros, Crete earthquake, and its seismotectonic implications. We obtain a robust location (azimuthal gap equal to 17$$^{\circ }$$

∘

) for the mainshock by combining all freely available local, regional and teleseismic phase arrivals (direct and depth phase arrivals). Based on our location and the spatial distribution of the poor aftershock sequence we parameterise the fault area as a 30 km $$\times $$
×
20 km planar surface, and using three-component strong motion data we calculate slip models for both earthquake nodal planes. Our preferred solution shows a simple, single slip episode on a NE-SW oriented, NW shallow-dipping fault plane, instead of a N-S oriented, almost vertical nodal plane. An anti-correlation of the aftershocks spatial distribution versus the maximum slip ($$\sim $$
∼
27 cm) of our model further supports this, although the accuracy of the aftershock hypocentral locations could be somewhat questionable. Coulomb stress changes calculated for both kinematic models do not show substantial differences, as the aftershock seismicity within the first 3 months after the mainshock is distributed along the stress shadow zone and over the stress enhanced areas developed at the southern fault edge, induced by the mainshock. The Kasos island tide gauge record analysis shows a small signal after the earthquake, but it can hardly demonstrate the existence of tsunami waves due to the low signal-to-noise ratio. Tsunami simulations computed for the two nodal planes do not yield conclusive evidence to highlight whether the causative fault plane is NE-SW oriented, NW shallow-dipping plane, or the N-S oriented plane, nevertheless, the power spectrum analysis of the NW shallow-dipping nodal plane matches the spectral peak at 8 s period and is overall closer to the spectrum of the tide gauge record. A USGS Shakemap was also produced with all available local strong motion data and EMSC testimonies. This was also investigated in an effort to document the responsible fault. The overall analysis in this study, slightly suggests a rather westward, shallow-dipping offshore fault zone, being antithetic to the main Zakros almost vertical normal fault which shapes the coast of eastern Crete and is perpendicular to the direction of Ptolemy Trench in this area. This result agrees with seismotectonic and bathymetric evidence which support the existence of approximately N-S trending grabens, east and northeast of Crete.
Exploration of quality variation and stability of hybrid rice under multi-environments
Authors: Chen Rirong , Li Dongxu , Fu Jun , Fu Chenjian , Qin Peng , Zhang Xuanwen , Sun Zhenbiao , He Kui , Li Liang , Zhou Wei , Wang Yingjie , Wang Kai , Liu Xuanming , Yang Yuanzhu 
Published: January 2024

AbstractImproving quality is an essential goal of rice breeding and production. However, rice quality is not solely determined by genotype, but is also influenced by the environment. Phenotype plasticity refers to the ability of a given genotype to produce different phenotypes under different environmental conditions, which can be a representation of the stability of traits. Seven quality traits of 141 hybrid combinations, deriving from the test-crossing of 7 thermosensitive genic male sterile (TGMS) and 25 restorer lines, were evaluated at 5 trial sites with intermittent sowing of three to five in Southern China. In the Yangtze River Basin, it was observed that delaying the sowing time of hybrid rice combinations leads to an improvement in their overall quality. Twelve parents were identified to have lower plasticity general combing ability (GCA) values with increased ability to produce hybrids with a more stable quality. The parents with superior quality tend to exhibit lower GCA values for plasticity. The genome-wide association study (GWAS) identified 13 and 15 quantitative trait loci (QTLs) associated with phenotype plasticity and BLUP measurement, respectively. Notably, seven QTLs simultaneously affected both phenotype plasticity and BLUP measurement. Two cloned rice quality genes, ALK and GL7, may be involved in controlling the plasticity of quality traits in hybrid rice. The direction of the genetic effect of the QTL6 (ALK) on alkali spreading value (ASV) plasticity varies in different cropping environments. This study provides novel insights into the dynamic genetic basis of quality traits in response to different cropping regions, cultivation practices, and changing climates. These findings establish a foundation for precise breeding and production of stable and high-quality rice.
Disentangling drivers of temporal changes in urban pond macroinvertebrate diversity
Authors: Granath Gustaf , Hyseni Chaz , Bini Luis Mauricio , Heino Jani , Ortega Jean C. G. , Johansson Frank 
Published: January 2024

AbstractPonds are key elements for ecosystem functions in urban areas. However, little is known about pond biodiversity changes over time and the drivers underlying such changes. Here, we tested whether past species assemblages, land cover and pond environmental change influence pond macroinvertebrate species richness and temporal beta diversity. We also compared spatial and temporal beta diversity, and investigated species-specific colonization and extinction rates over time. We sampled for presence of Odonata and Trichoptera (larvae), and Coleoptera and Hemiptera (larvae and adults) species in 30 ponds in Stockholm, Sweden, in 2014 and 2019. Past species richness was the best predictor of current species richness, whereas temporal changes in land cover and pond environment were not significantly related to current species richness. No correlations between temporal beta diversity and land cover or pond environmental changes were detected. However, ponds showed large changes in their temporal beta diversity, with equal contributions from species gains and losses. The probability of species colonizing and going extinct from ponds revealed that more common species were more likely to colonize a pond, while uncommon species were more likely to go extinct in a pond. Within our 5-year study, we found (i) highly similar spatial and temporal beta diversity, (ii) that past species richness is a good predictor of current species richness; however, the same does not hold true for species composition. The high dynamics of urban pond communities suggest that a large number of ponds are required to maintain high species richness at a landscape level.
Privacy-preserving data publishing: an information-driven distributed genetic algorithm
Authors: Ge Yong-Feng , Wang Hua , Cao Jinli , Zhang Yanchun , Jiang Xiaohong 
Published: January 2024

AbstractThe privacy-preserving data publishing (PPDP) problem has gained substantial attention from research communities, industries, and governments due to the increasing requirements for data publishing and concerns about data privacy. However, achieving a balance between preserving privacy and maintaining data quality remains a challenging task in PPDP. This paper presents an information-driven distributed genetic algorithm (ID-DGA) that aims to achieve optimal anonymization through attribute generalization and record suppression. The proposed algorithm incorporates various components, including an information-driven crossover operator, an information-driven mutation operator, an information-driven improvement operator, and a two-dimensional selection operator. Furthermore, a distributed population model is utilized to improve population diversity while reducing the running time. Experimental results confirm the superiority of ID-DGA in terms of solution accuracy, convergence speed, and the effectiveness of all the proposed components.
Gender and Risk-Taking in the Building of U.S. Retirement Wealth
Authors: Giannikos Christos I. , Korkou Efstathia D. 
Published: January 2024

AbstractThe growing weight being placed on self-directed retirement accounts within the United States retirement income policy framework, and the time inconsistency challenge of individuals, particularly women, tending to under-invest in retirement savings accounts motivated the current work. Using data from the United States Federal Reserve Board’s Survey of Consumer Finances, for a period spanning from 1989 to 2019, 11 cross-sections of data, the paper investigated the role of gender in United States retirement risk-taking investment strategies of single (never married) individuals. The analysis documented increasing trends in the risk-taking of both single women and single men but recorded differences in the risk-taking profiles of the two groups, with single men taking more risk than single women in their retirement wealth building in most cross-sections, with the gender risk-taking gap dropping, nonetheless, algebraically in magnitude from 1989 to 2019.
Photocatalytic degradation of 2,4-dichlorophenol using nanomaterials silver halide catalysts
Authors: Moja Mahlako Mary , Mapossa António Benjamim , Chirwa Evans Martin Nkhalambayausi , Tichapondwa Shepherd 
Published: January 2024

AbstractIn this study, the photocatalytic activity of nanomaterials Ag/AgX (X = Cl, Br, I) is reported. Highly efficient silver halide (Ag/AgX where X = Cl, Br, I) photocatalysts were synthesized through a hydrothermal method. The samples were characterized using a range of techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Brunauer–Emmett–Teller (BET) to check their structural, morphology, textural and optical properties. In addition, the photocatalytic activity of photocatalysts was evaluated through the degradation of 2,4-dichlorophenol (2,4-DCP) under UV and visible light irradiation. XRD analysis confirmed the presence of a single-phase structure (pure phase) in the synthesized photocatalysts. SEM micrographs showed agglomeration with a non-uniform distribution of particles, which is a characteristic of surfactant-free precipitation reactions in aqueous media. The Ag/AgBr photocatalyst exhibited the best degradation efficiency, resulting in 83.37% and 89.39% photodegradation after 5 h of UV and visible light irradiation, respectively. The effect of catalyst loading, initial solution pH, and 2,4-DCP concentration was investigated for the best-performing Ag/AgBr photocatalyst. The degradation kinetics were best described by the pseudo-first-order Langmuir–Hinshelwood model. The photocatalytic capacity of Ag/AgBr decreased by 50% after five reuse cycles. SEM images revealed heightened levels of photodegradation on the catalyst surface. The study proved the feasibility of using simple synthesis methods to produce visible light active photocatalysts capable of degrading refractory phenolic pollutants in aqueous systems.
Exploring Variational Auto-encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI
Authors: Bryan-Kinns Nick , Zhang Bingyuan , Zhao Songyan , Banar Berker 
Published: January 2024

AbstractGenerative AI models for music and the arts in general are increasingly complex and hard to understand. The field of explainable AI (XAI) seeks to make complex and opaque AI models such as neural networks more understandable to people. One approach to making generative AI models more understandable is to impose a small number of semantically meaningful attributes on generative AI models. This paper contributes a systematic examination of the impact that different combinations of variational auto-encoder models (measureVAE and adversarialVAE), configurations of latent space in the AI model (from 4 to 256 latent dimensions), and training datasets (Irish folk, Turkish folk, classical, and pop) have on music generation performance when 2 or 4 meaningful musical attributes are imposed on the generative model. To date, there have been no systematic comparisons of such models at this level of combinatorial detail. Our findings show that measureVAE has better reconstruction performance than adversarialVAE which has better musical attribute independence. Results demonstrate that measureVAE was able to generate music across music genres with interpretable musical dimensions of control, and performs best with low complexity music such as pop and rock. We recommend that a 32 or 64 latent dimensional space is optimal for 4 regularised dimensions when using measureVAE to generate music across genres. Our results are the first detailed comparisons of configurations of state-of-the-art generative AI models for music and can be used to help select and configure AI models, musical features, and datasets for more understandable generation of music.
Deep Industrial Image Anomaly Detection: A Survey
Authors: Liu Jiaqi , Xie Guoyang , Wang Jinbao , Li Shangnian , Wang Chengjie , Zheng Feng , Jin Yaochu 
Published: January 2024

AbstractThe recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural network architectures, levels of supervision, loss functions, metrics and datasets. In addition, we extract the promising setting from industrial manufacturing and review the current IAD approaches under our proposed setting. Moreover, we highlight several opening challenges for image anomaly detection. The merits and downsides of representative network architectures under varying supervision are discussed. Finally, we summarize the research findings and point out future research directions. More resources are available at https://github.com/M-3LAB/awesome-industrial-anomaly-detection.
Carbon Nitride Supported Ultra-fine Bismuth Sulfide Based Supercapacitor for Low Frequency Oscillator Application
Authors: Kumari Pooja , Perla Venkata K. , Ghosh Sarit K. , Saha Chandan , Kommu Parameshwar , Mallick Kaushik 
Published: January 2024

AbstractIn this study, a high temperature in-situ route is reported for the synthesis of one dimensional carbon nitride supported bismuth sulfide nanoparticles. The x-ray diffraction study confirmed the formation of orthorhombic crystal structure of bismuth sulfide with the space group of Pnma (62). The synthesized product was used as an electrode material for supercapacitor application. Electrochemical performance of the three-electrode configuration demonstrated the specific capacitance value of 190 F.g−1 at the current density 1.5 A.g−1. A symmetric supercapacitor device, fabricated using identical synthesized material, resulted a specific capacity of 101.7 mAh.g−1 at 0.02 A.g−1, with energy and power density values of 24.35 mWh.kg−1 and 186.57 W.kg−1, respectively. The symmetric device also exhibited excellent cycling stability that retained 99% of its initial capacity after 500 cycles at 0.12 A.g−1. The coin cell based symmetric supercapacitor can generate the low frequency waveform and functioned as an oscillator.
Graphical Abstract
GRAMO: geometric resampling augmentation for monocular 3D object detection
Authors: Guan He , Song Chunfeng , Zhang Zhaoxiang 
Published: January 2024

AbstractData augmentation is widely recognized as an effective means of bolstering model robustness. However, when applied to monocular 3D object detection, non-geometric image augmentation neglects the critical link between the image and physical space, resulting in the semantic collapse of the extended scene. To address this issue, we propose two geometric-level data augmentation operators named Geometric-Copy-Paste (Geo-CP) and Geometric-Crop-Shrink (Geo-CS). Both operators introduce geometric consistency based on the principle of perspective projection, complementing the options available for data augmentation in monocular 3D. Specifically, Geo-CP replicates local patches by reordering object depths to mitigate perspective occlusion conflicts, and Geo-CS re-crops local patches for simultaneous scaling of distance and scale to unify appearance and annotation. These operations ameliorate the problem of class imbalance in the monocular paradigm by increasing the quantity and distribution of geometrically consistent samples. Experiments demonstrate that our geometric-level augmentation operators effectively improve robustness and performance in the KITTI and Waymo monocular 3D detection benchmarks.
Adherence to the World Cancer Research Fund/American Institute for Cancer Research recommendations for cancer prevention in adolescent and young adult (AYA) cancer survivors: results from the SURVAYA study
Authors: Gavioli Costanza , Vlooswijk Carla , Janssen Silvie H. M. , Kaal Suzanne E. J. , Kerst J. Martijn , Tromp Jacqueline M. , Bos Monique E. M. M. , van der Hulle Tom , van der Graaf Winette T. A. , Lalisang Roy I. , Nuver Janine , Bijlsma Rhodé M. , Kouwenhoven Mathilde C. M. , Husson Olga , Beijer Sandra 
Published: January 2024

Abstract
Purpose
For adolescent and young adult (AYA) cancer survivors with a good prognosis, having a healthy lifestyle prevents morbidity and mortality after treatment. The aim of this study was to investigate the prevalence of (un)healthy lifestyle behaviors and related determinants in AYA cancer survivors.

Methods
A population-based, cross-sectional study was performed among long-term (5–20 years) AYA cancer survivors (18–39 years old at diagnosis) registered within the Netherlands Cancer Registry. Self-reported questionnaires data about health behaviors were used to calculate the 2018 World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) adherence score. Associations between the score and clinical/sociodemographic determinants of (un)healthy behaviors were investigated using logistic regression models.

Results
The mean WCRF/AICR score was low to moderate, 3.8 ± 1.2 (0.5–7.0) (n = 3668). Sixty-one percent adhered to “limit the consumption of sugar sweetened drinks,” 28% to “be a healthy weight,” 25% to “fruit and vegetable consumption,” and 31% to “limit alcohol consumption.” Moderate and high adherence were associated with being a woman (ORmoderate = 1.46, 95% CI = 1.14–1.85, and ORhigh = 1.87, 95% CI = 1.46–2.4) and highly educated (ORmoderate = 1.54, 95% CI = 1.30–1.83, and ORhigh = 1.87, 95% CI = 1.46–2.4). Low adherence was associated with smoking (ORmoderate = 0.68, 95% CI = 0.50–0.92, and ORhigh = 0.30, 95% CI = 0.21–0.44) and diagnosis of germ cell tumor (ORmoderate = 0.58, 95% CI = 0.39–0.86, and ORhigh = 0.45, 95% CI = 0.30–0.69).

Conclusions
Adherence to the 2018 WCRF/AICR lifestyle recommendations was low to moderate, especially regarding body weight, fruit, vegetables, and alcohol consumption. Men, current smokers, lower-educated participants, and/or those diagnosed with germ cell tumors were less likely to have a healthy lifestyle.

Implications for Cancer Survivors
Health-promotion programs (e.g., age-specific tools) are needed, focusing on high-risk groups.