bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scaling up public transport usage: a systematic literature review of service quality, satisfaction and attitude towards bus transport systems in developing countries
Authors: Sogbe Eugene , Susilawati Susilawati , Pin Tan Chee 
Published: September 2024

AbstractUrban sprawl driven by urbanisation has contributed to a sharp rise in privately owned vehicles and competition for restricted resource space. The utilisation of private vehicles has increased, particularly in developing countries, and this phenomenon leads to many negative externalities, including traffic congestion and emissions. To encourage the use of sustainable modes such as public transport, it is essential for policymakers and transport authorities to carefully examine the determinants influencing public transport usage and apply successful policies and procedures. This review offers a valuable understanding of the contemporary knowledge regarding the determinants influencing bus transport usage. It systematically reviews 104 papers published since 2000 on service quality, satisfaction, and attitudes towards bus transport. The review shows that safety, security, comfort, reliability and accessibility are the most substantial determinants shaping users' views on service quality and satisfaction. This is particularly evident in situations like waiting at the bus stop, being on board the bus, and specific instances while walking to their destination. The results indicate that challenges with first-mile and last-mile connectivity are apparent, and further exploration in the context of developing countries is needed to understand these challenges, necessitating further investigation. It also demonstrates instrumental aspects such as convenience and social-symbolic aspects such as social standing, influencing attitudes towards public transport usage. It concludes by suggesting potential paths for future research and discusses the impacts of the results on policy decisions.
Main causes of producing honey bee colony losses in southwestern Spain: a novel machine learning-based approach
Authors: García-Vicente Eduardo José , Benito-Murcia María , Martín Domínguez María , Pérez Pérez Ana , González Sánchez María , Rey-Casero Ismael , Alonso Rodríguez Juan Manuel , Barquero-Pérez Óscar , Risco Pérez David 
Published: September 2024

AbstractHoney bees assume a pivotal role as primary pollinators, but they are currently facing a growing crisis of colony losses on a global scale. This sector is important for generating essential products, preserving ecosystems, and crop pollination. This study includes the sampling of 179 beehives from three apiaries in the traditional beekeeping area of Extremadura (Spain) vital beekeeping sector and was carried out between 2020 and 2021 using the decision trees-based model. Some studies have tried to identify the primary causative factors of this issue. However, it is insufficient because the approach disregards potential nonlinear interactions among the various factors. For this reason, through meticulous exploration of different causative factors including Varroa destructor, Nosema ceranae, Deformed Wing Virus (DWV), Chronic Bee Paralysis Virus (CBPV), and strength factors, our study employed for first time machine learning methods to identify the most important variables generating colony loss. Our analysis underscores the importance of brood levels (operculated and open), pollen and honey, Varroa destructor infestation, virus (DWV), and honey bee populations as key determinants of colony survival. These findings hold promise for guiding efficacious colony management strategies and underscoring the latent potential of machine-learning applications in the realm of beekeeping.
Alternative Strategy for Development of Dielectric Calcium Copper Titanate-Based Electrolytes for Low-Temperature Solid Oxide Fuel Cells
Authors: Rauf Sajid , Hanif Muhammad Bilal , Tayyab Zuhra , Veis Matej , Yousaf Shah M. A. K. , Mushtaq Naveed , Medvedev Dmitry , Tian Yibin , Xia Chen , Motola Martin , Zhu Bin 
Published: September 2024

AbstractThe development of low-temperature solid oxide fuel cells (LT-SOFCs) is of significant importance for realizing the widespread application of SOFCs. This has stimulated a substantial materials research effort in developing high oxide-ion conductivity in the electrolyte layer of SOFCs. In this context, for the first time, a dielectric material, CaCu3Ti4O12 (CCTO) is designed for LT-SOFCs electrolyte application in this study. Both individual CCTO and its heterostructure materials with a p-type Ni0.8Co0.15Al0.05LiO2−δ (NCAL) semiconductor are evaluated as alternative electrolytes in LT-SOFC at 450–550 °C. The single cell with the individual CCTO electrolyte exhibits a power output of approximately 263 mW cm−2 and an open-circuit voltage (OCV) of 0.95 V at 550 °C, while the cell with the CCTO–NCAL heterostructure electrolyte capably delivers an improved power output of approximately 605 mW cm−2 along with a higher OCV over 1.0 V, which indicates the introduction of high hole-conducting NCAL into the CCTO could enhance the cell performance rather than inducing any potential short-circuiting risk. It is found that these promising outcomes are due to the interplay of the dielectric material, its structure, and overall properties that led to improve electrochemical mechanism in CCTO–NCAL. Furthermore, density functional theory calculations provide the detailed information about the electronic and structural properties of the CCTO and NCAL and their heterostructure CCTO–NCAL. Our study thus provides a new approach for developing new advanced electrolytes for LT-SOFCs.
The ammonite faunas of the upper Hypselocyclum to Divisum zones (Lower Kimmeridgian, Upper Jurassic) at Małogoszcz, Holy Cross Mts., central Poland: their stratigraphical interpretation and evolutionary development
Authors: Wierzbowski Andrzej 
Published: September 2024

AbstractThe transgressive succession of deposits of the upper Lower Kimmeridgian at Małogoszcz in the south-western margin of the Holy Cross Mts. in central Poland yielded diversified faunas of ammonites. The commonly represented Submediterranean ataxioceratid ammonites include the last members of Ataxioceras in the Hypselocyclum Zone and the assemblage of various Crussoliceras, Garnierisphinctes and Progeronia, mostly developed in the Divisum Zone, and associated upwards (Uhlandi Subzone) with aspidoceratids (Pseudhimalayites). A few typical Mediterranean ammonites (Nebrodites, Presimoceras, Idoceras, Taramelliceras) are indicative of the Herbichi Zone. The Subboreal ammonites include mostly Eurasenia and Involuticeras in addition to some Rasenia and Rasenioides of the uppermost Cymodoce Zone, corresponding to the Askepta Subzone. The changes in composition of ammonite faunas and comparison with the coeval faunas of other areas of Europe give indications on the evolutionary development of some Ataxioceratidae and Aulacostephanidae at the end of Early Kimmeridgian. The development of the Crussoliceras, Garnierisphinctes and Progeronia, having possibly their roots in the Mediterranean areas, was strictly correlated with the overall transgression and oscillations of sea-level controlled possibly by climatic eccentricity cycles of the northern Tethyan shelf. This resulted also in the decline of older Ataxioceras and its nearby allies. The indigenous lineage of Aulacostephanidae includes the transition from Eurasenia to “Pararasenia”. The development from Rasenioides to Aulacostephanoides occurred mostly in the Subboreal areas – although some late representatives of Rasenioides like R. moeschi reached the area of study. The existence of an independent lineage leading from Rasenia involuta to heavily-ribbed Aulacostephanoides/Aulacostephanus is also suggested.
The geopolitics of vaccine media representation in Orbán’s Hungary—an AI-supported sentiment analysis
Authors: Sebők Miklós , Ring Orsolya , Kis Márk György , Bánóczy Martin Balázs , Dinnyés Ágnes 
Published: September 2024

AbstractExtant studies on the European media coverage of the COVID-19 pandemic generally posit a linear relationship between the severity of the public health emergency and the volume of media reports. However, domestic politics and geopolitics may also impact the saliency, distribution, and sentiment of coverage in different outlets. Under Viktor Orbán’s illiberal leadership, Hungary sought deals for ventilators and vaccines from China and Russia—a deviation from joint European procurements. In this article, we conduct a content analysis of pro-government and Orbán-critical media to examine differences in their treatment of Eastern and Western vaccines. We relied on state-of-the-art deep learning analysis (a branch of articifial intelligence) to investigate all COVID-19-related articles (N = 72,339) published on three major Hungarian news portals between March 2020 and March 2022. We used a new fine-tuned BERT model for emotion analysis, the categories of which have been aggregated into three sentiment labels (positive, negative, and neutral). Our sentiment analysis results show a positive correlation between the number of sentences mentioning at least one of the vaccines and the (first) shots administered for only one outlet out of three. The pro-government portal in the sample showed more positivity towards Western vaccines than a hard-right, anti-government one. This latter also produced more positive reports concerning the Russian vaccine. These results shed light on the complex geopolitics of vaccine narratives in Hungarian media. Our research contributes not only to our understanding of illiberal media systems but also by sharing a new public dataset and a fine-tuned large language model that is applicable to alternative research questions and designs.
Leveraging multi-output modelling for CIELAB using colour difference formula towards sustainable textile dyeing
Authors: Chen Zheyuan , Liu Jian , Li Jian , Yuan Mukun , Yu Guangping 
Published: September 2024

AbstractTextile dyeing requires optimizing combinations of ingredients and process parameters to achieve target colour properties. Modelling the complex relationships between these factors and the resulting colour is challenging. In this case, a physics-informed approach for multi-output regression to model CIELAB colour values from dyeing ingredient and process inputs is proposed. Leveraging attention mechanisms and multi-task learning, the model outperforms baseline methods at predicting multiple colour outputs jointly. Specifically, the Transformer model’s attention mechanism captures the complex interactions between dyeing ingredients and process parameters, while the multi-task learning framework exploits the intrinsic correlations among the L*, a*, and b* dimensions of the CIELAB colour space. In addition, the incorporation of physical knowledge through a physics-informed loss function integrates the CMC colour difference formula. This loss function, along with the attention mechanisms, enables the model to learn the nuanced relationships between the dyeing process variables and the final colour output, thereby improving the overall prediction accuracy. This reduces trial-and-error costs and resource waste, contributing to environmental sustainability by minimizing water and energy consumption and chemical emissions.
Best available technology options for the mitigation of environmental impacts in waste plastics
Authors: Li Jiyang , Jiang Hanyi , Zhou Qian , Qi Cheng , Palocz-Andresen Michael , Zhu Yue , Bi Zhujie , Cao Weihua , Yuan Zhihang , Lou Ziyang 
Published: September 2024

AbstractThe best available technology (BAT) for waste plastics relies on their components and the right technology employed, while the quality of waste plastics depends on the original plastics and the source separation processes simultaneously. In this study, the quality of waste plastics and the potential recycling processes, including recycling granulation, pyrolysis to oil, Green-RDF and incineration technology, were co-related from the economic and technical perspective. A database was established for waste plastic components, considering factors such as plastic fraction, waste composition, moisture content, and impurity rate. The corresponding environmental impacts for the typical resource processes were assessed by life cycle analysis (LCA) and cost–benefit analysis combined. It was found that around 23% ± 1% of waste plastics in residual waste had the resource potential if the stricter classification criteria of plastic wastes were adopted, such as the components, moisture content less than 5% or 8% and impurity rate less than 8%. Pyrolysis to oil had the best environmental benefits in GWP100, reaching -1,683.51 kg CO2 equivalent (CO2-eq), determined as the best method for high-value plastics, and incineration depicted poor environmental benefits for low-value plastics. The net income of recycling granulation for middle-value waste plastics would achieve 1383 ± 35 yuan/ton through cost–benefit analysis, which represented the optimal economic benefits. CO2 emissions for waste plastics could be mitigated around 29.74% by matching BATs compared to the current management system, which would provide policymakers with proper recommendations in terms of the adaptability of waste plastic sources and technologies.
What counts as ‘evidence’ in literacy education?
Authors: Derewianka Beverly , Harper Helen , Parkin Bronwyn , Acevedo Claire , Rose David , Dare Brian , Brisk Maria Estela , Jones Pauline 
Published: September 2024

AbstractA recent issue of the Australian Journal of Language and Literacy included an article reporting on a systematic narrative review of the research literature that indicated that there was insufficient evidence to conclude whether genre theory and systemic functional linguistics either ‘worked’ or ‘did not work’. The criteria used to evaluate these studies excluded any study that did not conform to the ‘gold standard’ associated with experimental research such as randomised controlled trials. In response to this provocative finding, a group of SFL researchers decided to examine just what counts as evidence of quality literacy research these days. In this paper, we question the overreliance on experimental research at the expense of other methods. We illustrate this with a sample of notable studies that do not meet experimental criteria, but which nevertheless have made a significant contribution to school literacy outcomes in Australia and elsewhere.
Spatial impulse response analysis and ensemble learning for efficient precision level sensing
Authors: Cetkin Berkay , Begic Fazlic Lejla , Ueding Kristof , Machhamer Rüdiger , Guldner Achim , Creutz Lars , Naumann Stefan , Dartmann Guido 
Published: September 2024

AbstractIn this paper, we propose an innovative method for determining the fill level of containers, such as trash cans, addressing a critical aspect of waste management. The method combines spatial impulse response analysis with machine learning (ML) techniques, offering a unique and effective approach for sound-based classification that can be extended to various domains beyond waste management. By employing a buzzer-generated sine sweep signal, we create a distinctive signature specific to the fill level of the waste container. This signature, once accurately decoded, is then interpreted by a specially developed ensemble learning algorithm. Our approach achieves a classification accuracy of over 90% when implemented locally on a development board, optimizing operational efficiencies and eliminating the need to delegate complex classification tasks to external entities. Using low-cost and energy-efficient hardware components, our method offers a cost-effective approach that contributes to sustainable and efficient waste management practices, providing a reliable and locally deployable solution.
Changes in functional connectivity and suicidality after electroconvulsive therapy in depressed patients
Authors: Wu Han , Wang Xue , Wang Dan , Wang Wei , Wang Wen , Jin Wen-qing , Jiang Wei , Tang Yi-lang , Ren Yan-ping , Yang Chun-lin 
Published: September 2024

Abstract
Objective
Suicidality is a common and serious symptom of depression and patients with depression and suicidality often respond to electroconvulsive therapy (ECT), but the mechanism of its effect is poorly understood. We used resting-state functional magnetic resonance imaging (rs-fMRI) to explore changes in brain connectivity before and after ECT in depressed patients with suicidality.

Methods
Twenty-three depressed patients with suicidality underwent rs-fMRI at baseline and after 8–12 ECT sessions. Thirty-two age-, sex-, and education-matched healthy controls (HCs) underwent rs-fMRI once. We used functional connectivity (FC) analysis to identify brain regions with altered connectivity in patients compared to HCs and assess changes in FC before and after ECT. We also assessed the clinical symptoms using the Hamilton Depression Scale, 17-item (HAMD-17), and Beck Scale for Suicide Ideation (BSSI).

Results
Compared to HCs, at baseline, patients had reduced FC between the left orbitofrontal cortex (OFC_ Ant_L) and left angular gyrus (Angular_L) (t = 3.849, P < 0.05) with OFC_Ant_L as ROI. With left superior frontal gyrus (Frontal_sup_L) as ROI, patients also had reduced FC between Frontal_sup_L and left superior medial frontal gyrus, medial orbital (Frontal_Med_Orb_L) and left precuneus (Precuneus_L) (t = 3.650, P < 0.05), and increased FC between Frontal_sup_L and right middle frontal gyrus (Frontal_Mid_R) (t = -4.220, P < 0.05). After ECT, with Frontal_sup_L as ROI, patients showed increased FC between Frontal_sup_L and Angular_L after ECT (t = -3.982, P < 0.05) and decreased FC between Frontal_sup_L and right superior and inferior parietal gyrus (Parietal_Sup&Inf_R). In ECT responders, the change in FC between Frontal_sup_L and Angular_L was negatively correlated with the change of the score of BSSI (r = -0.645, P = 0.042), and the change in FC between Frontal_sup_L and Parietal_Sup&Inf_R was positively correlated with the change of the score of BSSI (r = 0.714, P = 0.023). There was no correlation between changes in FC with changes in HAMD-17 score (all P > 0.05).

Conclusion
Our findings suggest that FC between Frontal_sup_L and Angular_L, and FC between Frontal_sup_L and Parietal_Sup&Inf_R may be involved in the mechanisms by which ECT exerts its effects on suicidality in patients with depression. Our findings provide insights into the neural underpinnings of ECT and may inform the development of more targeted novel therapeutic strategies for suicidality.

Trial registration
Chinese Clinical Trial Registry, ChiCTR2100048182, Registered 04 July 2021, www.chictr.org.cn
Mind, Liangzhi, and Qi in Wang Yangming’s view that “nothing is external to the mind”
Authors: Zheng Zemian 
Published: September 2024

Abstract
Although I agree with Jeeloo Liu that Wang Yangming is not a subjective idealist, this does not rule other possibilities of idealism. Wang Yangming equates the mind to Dao and equates liangzhi to the Dao of Change. This suggests that the mind is not just a subjective mind. It can denote the all-encompassing universal mind. In his “blossoming tree” dialogue about the theme “nothing is external to the mind,” Wang Yangming alludes to the Book of Change. The underlying idea is that there is an undifferentiated unity before the calculative deliberation divides the subject and object. This idea of oneness also underlies Wang Yangming’s view of qi. I have reservations about using “naturalism” and “realism” to categorize Wang Yangming’s philosophy.
Simulation of thermal radiation effects on the thermal properties of parietodynamic walls using an innovative model
Authors: Dong Xianzhang , Lin Baochen , Xiao Huigang , Liu Min 
Published: September 2024

AbstractThe parietodynamic wall, a type of dynamic insulation, has been recognized as an effective technology to reduce energy loss in buildings by recovering heat energy through forced convection. However, current research on the thermal performance of parietodynamic walls has overlooked the influence of thermal radiation, a crucial factor in energy transfer within the air layers of these walls. To bridge this gap, an innovative simulation model was developed and experimentally validated. Employing simulation methods, we investigated the impact of thermal radiation on the thermal behavior of parietodynamic walls under various influencing factors. Our findings reveal that thermal radiation markedly increases heat loss. Specifically, at an emissivity of 1, thermal radiation contributes up to 80.7% to the heat transfer coefficient (HTC) of the parietodynamic wall. Moreover, for a parietodynamic wall without insulation, the HTC of this wall will increase by more than 268% when thermal radiation is taken into account, compared to when it is not considered. These revelations deepen our comprehension of the role of thermal radiation in parietodynamic walls and offer valuable guidance for the development of more energy-efficient buildings.
Bidirectional evaluation and differentiation analysis of marine economic resilience in China
Authors: Zhou Yan , Li Hui 
Published: September 2024

AbstractWith the continuous improvement of the marine economy, the role of marine economic resilience is becoming ever more prominent. This study evaluates China’s marine economic resilience based on a bidirectional evaluation index system, and analyzes spatiotemporal characteristics and regional differences. The results show that: (1) marine economic resilience is increasing in the system object dimension and the resilience attribute dimension in China. Strengthening the protection of marine resources and the environment is important for improving marine economic resilience; (2) the development of marine economic resilience among 11 coastal provinces is unbalanced, forming a three-polar pattern with Shandong as the core in the north, Shanghai as the core in the east, and Guangdong as the core in the south; (3) the difference between the northern marine economic circle and the southern marine economic circle is the main reason for the overall difference.
Planty Childhoods: Theorising with a Vegetal Ontology in Environmental Education Research
Authors: Parmar Sneha , Malone Karen , Young Tracy Charlotte 
Published: September 2024

AbstractThis paper explores the potential for extending relational ontologies to include a specific focus on human-plant relations. We theorise the emergence of a vegetal ontology, as a novel way of working and remaking theories around human-plant relations that can be applied to the field of environmental education. A vegetal ontological approach, as applied in the environmental education research project that informs this article, abandons hierarchical comparisons of plants, which are often historically positioned as “lesser species,” mere “objects” and “resources” even. We start our paper with a modest review of key theoretical approaches informing past and recent environmental education studies on child-plant relations. We then return to the discussion started within the introduction to the paper on how we have theorised a vegetal ontology as a mode of a relational ontology focussing particularly on human-plant relations and drawing on posthumanist, new materialist and Indigenous approaches. To conclude the paper, we then put this newly named vegetal ontology to work. We apply it to a recent study on childhood-plant encounters where researchers engaged with young children and their families in a botanical garden setting and a group of environmental education elders reflected on the significance of plant relations in their childhoods.