bluuebunny/crossref_metadata_2025_split huggingface dataset:
Australian schooling policy: A risky proposition
Authors: Hardy Ian 
Published: May 2024

Abstract
This article utilises recent Australian schooling policies and associated international educational policies as a stimulus to reflect on the extent to which schooling provides genuinely ‘educational’ opportunities for students. To do so, the article draws upon Gert Biesta’s notion of the ‘risk’ of education to analyse the extent to which recent and current key federal government policies in Australia, and significant OECD and UNESCO policies, seem to enable more educationally-oriented schooling. The article reveals that while there are multiple discourses at play in relation to federal government policies, the way in which these policies have become more ‘national’ in orientation, and the attendant prescriptive attention to ‘capturing’ students’ learning in more and more ‘precise’ ways, mitigate against the possibilities for more risk-responsive schooling opportunities for students. While educational policies are always open to contestation in their enactment, more economistic and managerial foci within these texts militate against more productive, ‘risky’, learning. As a consequence, Australian schooling policy is a ‘risky proposition’—not because it places students ‘at risk’ of harm but because it does not draw sufficiently upon notions of risk as a resource to inform educational provision in preparation for living in an uncertain world.
Decolorization of reactive dyes by the white rot fungus Phanerochaete velutina in presence of Zn and ZnO nanoparticles
Authors: Zafiu C. , Küpcü S. , Kähkönen M. A. 
Published: May 2024

AbstractReactive organic dyes are hazardous pollutants that should be removed from wastewater from the textile industry. A remediation of dye polluted wastewater can be achieved by using the oxidative properties of nanomaterials, such as ZnO nanoparticles, or by microorganisms and their dye degrading enzymes. Promising approaches are expected from hybrid strategies, which use more than one approach. However, ZnO nanoparticles are also reported to be an antimicrobial and antifungal agent, which may undermine the decolorization ability of potent organisms, such as white rot fungi. Therefore, in this study we investigated the effects of soluble Zn and ZnO nanoparticles on the decolorization behaviour of the white rot fungus Phanerochaete velutina on commonly used reactive dyes, Reactive Orange 16 and Reactive Green 19. Zn ions led to a low decolorized rate of both dyes at low concentrations and restored the rate at higher Zn concentrations. However, ZnO nanoparticles showed highest decolorization rates, but only in a narrow concentration range. Overall, no toxic or inhibitory effects for decolorization of the dyes were found at the applied concentration of up to 20 mg Zn l−1 indicating that tolerant P. velutina will be suitable for remediation of dyes in multi polluted waste waters.
Integrating Indicators in Agricultural Vulnerability Assessment to Climate Change
Authors: Janani Higgoda K. , Karunanayake Chamaka , Gunathilake Miyuru B. , Rathnayake Upaka 
Published: May 2024

AbstractClimate change stands as one of the most pressing challenges confronting global ecosystems and human livelihoods. The agriculture sector of Anuradhapura district, Sri Lanka, well renowned for its pivotal role in the nation’s food production, faces an increasing threat from the changing climate. This study aims to incorporate the indicator system method which uses a set of indicators to assess the agricultural vulnerability (AV) to climate change in Anuradhapura district. The AV assessment used in this study involves three principal components exposure, sensitivity, and adaptive capacity. The indicators are normalized to allow spatial analysis and smooth integration within a geographic information system (GIS) framework. The AV of Anuradhapura district ranged from 0.32 to 0.67 and was divided among five levels very low, low, moderate, high, and very high. The findings suggest that Anuradhapura’s agricultural sector was significantly impacted by climate change as the majority of the total area was found to have very high, high, and moderate levels of AV with 25, 28, and 24%, respectively. The results obtained from this study are essential for formulating plans to improve Anuradhapura’s agricultural sector resilience and adaptability to ensure food security and livelihood sustainability considering the ever-changing climate.
UCE-derived mitochondrial phylogeny reveals pervasive mito-nuclear discordances in serotine bats (genus Eptesicus) and complex evolutionary history in Eptesicus (Histiotus)
Authors: Yi Xueling , Latch Emily K. , Lim Burton K. , Koroiva Ricardo , Da Rocha Patricio Adriano , Feijó Anderson 
Published: May 2024

AbstractStudies of evolution and biodiversity require solid understanding of species systematics revealed by molecular phylogeny using multilocus genomic data. Multilocus analyses, nevertheless, remain difficult in non-model taxa due to limited access to samples and molecular resources. To help overcome this limitation, ultra-conserved elements (UCEs) have been developed to generate large nuclear datasets and build more robust species phylogenies. Recently, MitoFinder pipeline was developed to further extract mitochondrial genes from the off-target sequences in UCE libraries to allow mito-nuclear comparison and increase the mitochondrial genomic database. Here we applied MitoFinder to published UCE datasets of serotine bats (genus Eptesicus) and focused on E. (Histiotus) whose evolutionary history is poorly understood. Our results showed extensive mito-nuclear discordances in the divergence of major clades in Eptesicus and within E. (Histiotus), indicating potential incomplete lineage sorting and historical mitochondrial introgression within and across subgenera. Moreover, we collected several new samples of E. (Histiotus), including the first molecular data of the recently described E. (H) diaphanopterus, and combined available published sequences to generate the most taxa-complete mitochondrial phylogeny of E. (Histiotus) bats. Results supported the early divergence of E. (H.) magellanicus and the species status of E. (H.) diaphanopterus. In addition, we found strong evidence of cryptic diversity, with potentially new taxa in Peru, Uruguay, and Brazil, which needs to be evaluated in future studies using complementary data. Our study enriched the sequence database of serotine bats and shed light on the hidden diversity and complex evolutionary history of E. (Histiotus).
FER-BHARAT: a lightweight deep learning network for efficient unimodal facial emotion recognition in Indian context
Authors: Karani Ruhina , Jani Jay , Desai Sharmishta 
Published: May 2024

AbstractHumans' ability to manage their emotions has a big impact on their ability to plan and make decisions. In order to better understand people and improve human–machine interaction, researchers in affective computing and artificial intelligence are investigating the detection and recognition of emotions. However, different cultures have distinct ways of expressing emotions, and the existing emotion recognition datasets and models may not effectively capture the nuances of the Indian population. To address this gap, this study proposes custom-built lightweight Convolutional Neural Network (CNN) models that are optimized for accuracy and computational efficiency. These models are trained and evaluated on two Indian emotion datasets: The Indian Spontaneous Expression Dataset (ISED) and the Indian Semi Acted Facial Expression Database (iSAFE). The proposed CNN model with manual feature extraction provides remarkable accuracy improvement of 11.14% for ISED and 4.72% for iSAFE datasets as compared to baseline, while reducing the training time. The proposed model also surpasses the accuracy produced by pre-trained ResNet-50 model by 0.27% ISED and by 0.24% for the iSAFE dataset with significant improvement in training time of approximately 320 s for ISED and 60 s for iSAFE dataset. The suggested lightweight CNN model with manual feature extraction offers the advantage of being computationally efficient and more accurate compared to pre-trained model making it a more practical and efficient solution for emotion recognition among Indians.
Attack Rate, Case Fatality Rate and Predictors of Pertussis Outbreak During Pertussis Outbreak Investigation in Ethiopia: Systematic Review and Meta-Analysis
Authors: Tariku Mengistie Kassahun , Belete Abebe Habtamu , Worede Daniel Tarekegn , Bante Simachew Animen , Alehegn Agumas Alemu , Assen Biniam Kebede , Tegegne Bantayehu Addis , Misikir Sewnet Wongiel 
Published: May 2024

Abstract
Background
Pertussis, a highly contagious, vaccine-preventable respiratory infection caused by Bordetella pertussis, is a leading global public health issue. Ethiopia is currently conducting multiple pertussis outbreak investigations, but there is a lack of comprehensive information on attack rate, case fatality rate, and infection predictors. This study aimed to measure attack rates, case fatality rates, and factors associated with pertussis outbreak.

Methods
This study conducted a systematic review and meta-analysis of published and unpublished studies on pertussis outbreaks in Ethiopia from 2009 to 2023, using observational study designs, using the guideline Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The study utilized databases like Science Direct, MEDLINE/PubMed, African Journals Online, Google Scholar and registers. The data were collected using an Excel Spreadsheet and then exported to STATA version 17 for analysis. Subgroup analysis was conducted to identify potential disparities. A random effects model was used to consider heterogeneity among studies. I2-squared test statistics were used to assess heterogeneity. The attack rate, case fatality rate, and odds ratio (OR) were presented using forest plots with a 95% confidence interval. Egger’s and Begg’s tests were used to evaluate the publication bias.

Results
Seven pertussis outbreak investigations with a total of 2824 cases and 18 deaths were incorporated. The pooled attack and case fatality rates were 10.78 (95% CI: 8.1–13.5) per 1000 population and 0.8% (95% CI: 0.01–1.58%), respectively. The highest and lowest attack rates were in Oromia (5.57 per 1000 population and in the Amhara region (2.61 per 1000 population), respectively. Predictor of pertussis outbreak were being unvaccinated [odds ratio (OR) = 3.05, 95% CI: 1.83–4.27] and contact history [OR = 3.44, 95% CI: 1.69–5.19].

Conclusion
Higher and notable variations in attack and case fatality rates were reported. Being unvaccinated and having contact history were the predictors of contracting pertussis disease in Ethiopia. Enhancing routine vaccination and contact tracing efforts should be strengthened.
Nonlinear Stability of Equilibria in Hamiltonian Systems with Multiple Resonances without Interactions
Authors: Sierpe Claudio , Vidal Claudio 
Published: May 2024

Abstract
In this work, we advance in the study of the Lyapunov stability and instability of equilibrium solutions of Hamiltonian flows. More precisely, we study the nonlinear stability in the Lyapunov sense of equilibrium solutions in autonomous Hamiltonian systems with n-degrees of freedom, assuming the existence of two resonance vectors

$$\textbf{k}^1$$

k
1

and

$$\textbf{k}^2$$

k
2

without interaction (

$$|\textbf{k}^1|\le |\textbf{k}^2|$$

|

k
1

|
≤
|

k
2

|

). We provide conditions to obtain a type of formal stability, called Lie stability. In particular, we need to normalize the Hamiltonian function to any arbitrary order, and our results take into account the sign of the components of the resonance vectors. Subsequently, we guarantee some sufficient conditions to obtain exponential stability in the sense of Nekhoroshev for Lie stable systems. In addition, we give sufficient conditions for the instability in the Lyapunov sense of the full system. For this, it is necessary to normalize the Hamiltonian function to an adequate order, and assuming that the components of at least one resonance vector change of sign.
Assessment of discontinuity related instability potential in a surge pool cavern: kinematic and distinct element approach
Authors: Rawat Devendra S. , Yadav Vikas , Naithani Ajay K. , Singh Laishram G. , Jain Prasnna , Kainthola Ashutosh , Suri Babu R. N. , Nath Ravindra K. , Reddy Padmaja , Allen Samuel P. , Singh Khilap 
Published: May 2024

AbstractSafe and economical subsurface excavation requires a holistic assessment of the ground. Possibilities of stress-induced and structural failures need thorough consideration before excavation. Over-supporting an excavation is uneconomical while under-supporting can lead to disastrous results. Thus, in this research, an attempt has been made to devise the most efficient and reliable support system. An under-construction underground surge pool cavern to store and lift water at the Indian state of Telangana was taken up as the research site. The methodology involved in-depth geological and geotechnical investigations to identify possible adverse features. Rock mass rating and Q-index, were implemented for rockmass characterization. The surge pool was constructed using the Norwegian Method of Tunnelling (NMT) and validated with BIS codes. The stability analysis and support design were carried out with the help of distinct element simulation and wedge analysis for the surge pool heading portion. A right crown portion was found to be most susceptible to failure, which was also confirmed by the both the analysis. A thorough examination led to the most robust and economical support design for long-term stability.
Tricks under Trade: How International Trade Both Facilitates and is Facilitated by Corporate Environmental Crime in the Waste and Hydrocarbon Sectors
Authors: Giardi Giulia 
Published: May 2024

AbstractLegal scholarship in the realm of international economic law has a blind spot: the practice of international trade. Cargo and container shipping is the blood and guts of international trade, and it is fuelled by bunker oil – a hydrocarbon mixture of the dirtiest petroleum-based products. Worryingly, there is empirical evidence of bunkers being intentionally contaminated with waste oils. This fraudulent contamination violates numerous international, national, and EU rules on waste management and poses immense risks to the health of planet and people alike. These same acts of fraud are also extremely profitable, and they facilitate the smooth functioning of our global economy. The fraud is itself not just incentivised in the tight-margins reality of international trade, but it is facilitated by the lack of proper legislation and the vulnerability of the existing means of enforcement in the areas where there is legislation to comply with. Economic operators often use falsified documents to market fuel oil that should be considered as waste. Systematic wrongdoing of this kind is detrimental to the environment and risks eroding the rule of law in both its formal and substantive conceptualisations.
Homology and K-theory of dynamical systems IV. Further structural results on groupoid homology
Authors: PROIETTI VALERIO , YAMASHITA MAKOTO 
Published: May 2024

AbstractWe consider the homology theory of étale groupoids introduced by Crainic and Moerdijk [A homology theory for étale groupoids. J. Reine Angew. Math.521 (2000), 25–46], with particular interest to groupoids arising from topological dynamical systems. We prove a Künneth formula for products of groupoids and a Poincaré-duality type result for principal groupoids whose orbits are copies of an Euclidean space. We conclude with a few example computations for systems associated to nilpotent groups such as self-similar actions, and we generalize previous homological calculations by Burke and Putnam for systems which are analogues of solenoids arising from algebraic numbers. For the latter systems, we prove the HK conjecture, even when the resulting groupoid is not ample.
The Spanish railway network, 1848–2023
Authors: Esteban-Oliver Guillermo , Martí-Henneberg Jordi 
Published: May 2024

AbstractGIS data on the evolution of railway networks facilitate the study of the role played by the expansion of transport infrastructure since the industrial revolution. The arrival of the railway transformed economic and social activity and the distribution of population within the territory. Given their importance, we have reconstructed and digitised the layout of the railway lines and the location of the stations and halts that existed from the opening of Spain's first railway line, in 1848, until 2023. We have also added indicators of the quality of the network, more specifically, the dates of its electrification and when the track was doubled to allow two-way traffic. The potential of this database lies in its capacity to analyse the interrelationship between the railway infrastructure and a wide range of elements located in the territory, amongst which it is necessary to highlight other modes of transport, urban expansion and socio-economic development.
Spatial–temporal distribution characteristics of pulmonary tuberculosis in eastern China from 2011 to 2021
Authors: Chen Ke , Cheng Liang , Yu Hao , Zhou Yong , Zhu Limei , Li Zhongqi , Li Tenglong , Martinez Leonardo , Liu Qiao , Wang Bei 
Published: May 2024

AbstractChina is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial–temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22,P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran’s I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that ‘high–high’ clusters were mainly distributed in northern Jiangsu, and ‘low–low’ clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.
Quantifying Contributions of External Forcing and Internal Variability to Arctic Warming During 1900–2021
Authors: Chen Xiaodan , Dai Aiguo 
Published: May 2024

AbstractArctic warming has significant environmental and social impacts. Arctic long‐term warming trend is modulated by decadal‐to‐multidecadal variations. Improved understanding of how different external forcings and internal variability affect Arctic surface air temperature (SAT) is crucial for explaining and predicting Arctic climate changes. We analyze multiple observational data sets and large ensembles of climate model simulations to quantify the contributions of specific external forcings and various modes of internal variability to Arctic SAT changes during 1900–2021. We find that the long‐term trend and total variance in Arctic‐mean SAT since 1900 are largely forced responses, including warming due to greenhouse gases and natural forcings and cooling due to anthropogenic aerosols. In contrast, internal variability dominates the early 20th century Arctic warming and mid‐20th century Arctic cooling. Internal variability also explains ∼40% of the recent Arctic warming from 1979 to 2021. Unforced changes in Arctic SAT are largely attributed to two leading modes. The first is pan‐Arctic warming with stronger loading over the Eurasian sector, accounting for 70% of the unforced variance and closely related to the positive phase of the unforced Atlantic Multidecadal Oscillation (AMO). The second mode exhibits relatively weak warming averaged over the entire Arctic with warming over the North American‐Pacific sector and cooling over the Atlantic sector, explaining 10% of the unforced variance and likely caused by the positive phase of the unforced Interdecadal Pacific Oscillation (IPO). The AMO‐related changes dominate the unforced Arctic warming since 1979, while the IPO‐related changes contribute to the decadal SAT changes over the North American‐Pacific Arctic.
Causality Analysis and Prediction of Riverine Algal Blooms by Combining Empirical Dynamic Modeling and Machine Learning Techniques
Authors: Tian Jing , Wang Gangsheng , Xiang Daifeng , Huang Sheng , Li Wanyu 
Published: May 2024

AbstractRiver algal blooms have become a global environmental problem due to their large impact range and environmental hazards. However, the complex mechanisms underlying these blooms make prediction and prevention challenging. Here, we employed empirical dynamic modeling (EDM) and machine learning to reveal the causes and predict diatom blooms from 2003 to 2017 in the Han River of China. The diatom cell density ranged from 0.1 to 5.1 × 107 cells L−1, whereas algal blooms often lasted for 10 days with density exceeding 107 cells L−1. The EDM results elucidated that, under consistent high nutrient concentrations, algal blooms were primarily regulated by eight environmental factors: water temperature in the Han River; water levels, flow velocities, and streamflow discharges in the Han River and the Yangtze River; and water level variation in the Han River. The poor performance (coefficient of determination R2 < 0) of the multiple linear regression, EDM, and random forest models indicated the challenge of predicting algae density. Therefore, we used machine learning classification models to predict algal blooms occurrences. With the resampling techniques to account for imbalanced data, machine learning models achieved perfect classification prediction (Kappa value = 1) of the 13 algae‐bloom events with a 10‐day lead time during a 15‐year period, providing an important reference for preemptive warning of riverine algal blooms.
Ma/Ca Ratio in Stalagmites as a Potential Palaeo‐Temperature Indicator
Authors: Duan Wuhui , Wu Shitou , Wang Xuefeng , Shen Jiaheng , Xiao Zhengyi , Cui Linlin , Tan Ming 
Published: May 2024

AbstractMg/Ca ratio in stalagmites primarily serves as an indicator of past hydrological conditions rather than temperature variations. Here, we present an Mg/Ca ratio record in a stalagmite from northern China, spanning ice age termination II. A unique finding is that Mg/Ca ratio shows a moderately strong positive correlation with cave air temperature obtained from clumped isotopes data in the same stalagmite. The stable hydrogeochemistry of source water and high temperature sensitivity of Mg partition coefficient plausibly explain this temperature dependence. Furthermore, we establish an Mg/Ca‐temperature calibration for stalagmites from mid‐latitudes, encompassing a temperature range between ∼2 and ∼15°C, where Mg/Ca = 14.221 × e0.073×T (R2 = 0.40). Applying this function to Mg/Ca ratio from similar stalagmites could tentatively provide a quantitative regional temperature record over millennial and centennial timescales. This research highlights Mg/Ca ratio in stalagmites as a potential palaeo‐temperature proxy and introduces, for the first time, a tentative Mg/Ca‐temperature calibration function for speleothems.