bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sulfolane-Based Flame-Retardant Electrolyte for High-Voltage Sodium-Ion Batteries
Authors: He Xuanlong , Peng Jie , Lin Qingyun , Li Meng , Chen Weibin , Liu Pei , Huang Tao , Huang Zhencheng , Liu Yuying , Deng Jiaojiao , Ye Shenghua , Yang Xuming , Ren Xiangzhong , Ouyang Xiaoping , Liu Jianhong , Xiao Biwei , Hu Jiangtao , Zhang Qianling 
Published: October 2024

AbstractSodium-ion batteries hold great promise as next-generation energy storage systems. However, the high instability of the electrode/electrolyte interphase during cycling has seriously hindered the development of SIBs. In particular, an unstable cathode–electrolyte interphase (CEI) leads to successive electrolyte side reactions, transition metal leaching and rapid capacity decay, which tends to be exacerbated under high-voltage conditions. Therefore, constructing dense and stable CEIs are crucial for high-performance SIBs. This work reports localized high-concentration electrolyte by incorporating a highly oxidation-resistant sulfolane solvent with non-solvent diluent 1H, 1H, 5H-octafluoropentyl-1, 1, 2, 2-tetrafluoroethyl ether, which exhibited excellent oxidative stability and was able to form thin, dense and homogeneous CEI. The excellent CEI enabled the O3-type layered oxide cathode NaNi1/3Mn1/3Fe1/3O2 (NaNMF) to achieve stable cycling, with a capacity retention of 79.48% after 300 cycles at 1 C and 81.15% after 400 cycles at 2 C with a high charging voltage of 4.2 V. In addition, its nonflammable nature enhances the safety of SIBs. This work provides a viable pathway for the application of sulfolane-based electrolytes on SIBs and the design of next-generation high-voltage electrolytes.
Do environmental crimes contribute to air pollution? Empirical evidence and effects on health
Authors: Germani Anna Rita , Marini Giorgia , D’Amato Alessio , Ker Alan P. 
Published: October 2024

AbstractThis paper investigates the effect of environmental crimes on ambient air pollution in Italy, using annual provincial data over the period 2010–2016. While the impact of ambient air pollution on health has been the focus of a significant amount of literature, a nascent body of works is focusing on the impact of illegal behavior on environmental quality. Our work is ideally divided in two steps: firstly, we identify and assess empirically the potential correlation between environmental crimes and four different kinds of ambient air pollution. Secondly, we identify the health impacts that may be triggered by environmentally harmful illegal activities, through their impact on ambient air pollution, by linking them to existing contributions. Our findings suggest that the existence of such an “indirect” link may indeed be confirmed. We find that higher levels of PM2.5, PM10, and O3 concentration are associated with higher levels of environmental crimes related to forest fires and landscape violations (except for PM10 in the latter case), while NO2 concentration is not significantly associated with any environmental crime. On the other hand, we also find non-linearities in the estimated correlations. We conclude our analysis by providing a straightforward quantification of health-related impacts of ambient air pollution changes potentially triggered by criminal environmental behaviors. We hope that our findings could contribute to a more accurate evaluation of environmental crime impacts and, subsequently, inform future criminal environmental enforcement and environmental policies.
Leveraging peer-review aspects for extractive and abstractive summarization of scientific articles
Authors: Majadly Muhammad , Last Mark 
Published: October 2024

AbstractThis research introduces an innovative framework that supports the peer-review process by automatically extracting the following four key aspects of a scientific paper: contribution, motivation, claims, and claims support. Leveraging these extracted aspects, we generate extractive and abstractive summaries of scientific papers. Additionally, we provide a benchmarking corpus containing 1000 aspect-related sentences extracted from 40 scientific articles, which can serve as a valuable resource for evaluating various aspect extraction methods. Experimental findings reveal that our automated aspect extraction system successfully identifies between 86 and 92% of sentences related to each aspect with precision ranging from 84 to 94%. The aspect-based extractive summaries outperformed the original paper abstracts in terms of the Rouge scores as well as in Relevance, Consistency, Fluency, and Coherence dimensions. Furthermore, our study demonstrates that by prompting the LLMs using the paper itself along with the extracted aspects, the LLM-generated summaries exhibit superior performance compared to prompting with either the paper or the abstract only.
Estimating Total Rice Biomass and Crop Yield at Field Scale Using PlanetScope Imagery Through Hybrid Machine Learning Models
Authors: Swain Kishore Chandra , Singha Chiranjit , Pradhan Biswajeet 
Published: October 2024

AbstractNear real-time crop monitoring has been a challenging due to the lack of high-resolution remote sensing images suitable for agricultural applications. The PlanetScope constellation, comprising approximately 130 Dove satellites, collects images of the entire Earth daily, with a resolution of 3.7 m. The high-resolution images from the PlanetScope satellite, along with vegetation indices, geo-environmental data, and soil and crop parameters, were utilized and analysed using machine learning models to enhance the accuracy of predicting total biomass and rice crop yield at the field scale. The study area, covering nearly 214 sample rice plots, was located in the Tarekswar block of Hooghly, West Bengal, India. Alongside ten vegetation indices and three Principal Component Analysis (PCA) soil nutrient levels, approximately thirty-six factors were analyzed to predict rice total biomass and crop yield using ten machine learning (ML) models, namely Random forest (RF), Extreme Gradient Boosting (XGB), Support Vector Machine (SVM), Bagging Tree (Treebag), Generalized Additive Models (gamSpline), Elastic Net (enet), Ordinary regression with LASSO penalty (rqlasso), Tree Models from Genetic Algorithm (evtree), Bayesian Regularized Neutral Networks (brnn), cubist models, and there hybrid of ensembles. Boruta and multi-collinearity analysis were also conducted for the selected factors to explore their influence levels. The study area exhibited robust rice yields ranging from 5 to 10 t/ha, accompanied by healthy biomass growth. Four ML models ─cubist, random forest, enet, and the hybrid model—showed promising predictions with R2 > 0.88. Most models classified less than 20 ha of the study area as falling into the “very-low suitable class”, showing the region’s suitability for rice cultivation due to its highly fertile alluvial soil. Boruta sensitive analysis revealed that nearly 24 individual factors significantly influenced the final crop yield including, organic carbon (OC), phosphorus (P), electrical conductivity (EC), mechanization level, and the majority of the vegetation indices. A critical analysis carried out through the Map query tool showed that five vegetation indices estimated via PlanetScope displayed strong correlations (exceeding 89%) in identifying areas with high to very high rice yields. The study can serve as a guideline for near-real-time crop monitoring in the near future, using high-resolution PlanetScope images.
Beryllium adsorption from beryllium mining wastewater with novel porous lotus leaf biochar modified with PO43−/NH4+ multifunctional groups (MLLB)
Authors: Zhao Xu , Wang Qingliang , Sun Yige , Li Haoshuai , Lei Zhiwu , Zheng Boyuan , Xia Hongyang , Su Yucheng , Ali Khan Muhammad Yaruq , Wang Hongqiang , Hu Fang 
Published: October 2024

AbstractWastewater produced in beryllium mining seriously affects ecological balance and causes great environmental pressure. We designed a novel porous lotus leaf biochar modified with PO43−/NH4+ multifunctional groups (MLLB) and used it for beryllium(Be) removal from beryllium mining wastewater. Kinetic and thermodynamic experiments showed that the adsorption capacity (Qe) of Be with MLLB from the simulated beryllium mining wastewater could reach 40.38 g kg−1 (35 °C, pH = 5.5), and the adsorption process was spontaneous and endothermic. The dispersion coefficient Kd of Be with MLLB was 2.6 × 104 mL g−1, which proved that MLLB had strong selective adsorption capacity for Be. Phosphoric acid, ammonia, and hydroxyl groups on the MLLB surface would complex with Be to form Be(OH)2 and Be(NH4)PO4 complexation products, which implied that surface complexation and precipitation reactions might co-existed in the adsorption process. The above results showed that MLLB could effectively adsorb Be and prevent beryllium exposure in a beryllium mining process.
Graphical Abstract
Advances in biotechnology and breeding innovations in China’s marine aquaculture
Authors: Xu Wenteng , Liu Yang , Li Ming , Lu Sheng , Chen Songlin 
Published: October 2024

AbstractBiotechnology is the key driving force behind the sustainable development of aquaculture, as biological innovation would significantly improve the capabilities of aquatic breeding and achieve independent and controllable seeding sources to ensure food safety. In this article, we have analyzed the current status and existing problems of marine aquaculture in China. Based on these data, we have summarized the recent (especially the last 10 years) biotechnological innovation and breeding progress of marine aquaculture in China, including whole genome sequencing, sex-related marker screening, genomic selection, and genome editing, as well as progress of improved marine fish varieties in China. Finally, the perspectives in this field have been discussed, and three future countermeasures have been proposed.
L’empire bon marché, une excellente affaire
Authors: Todd David 
Published: October 2024

Dans son ouvrage Un empire bon marché, Denis Cogneau clôt un vieux débat en montrant que les coûts de l’empire colonial français ont été dérisoires pour la métropole. Les efforts en matière de développement des territoires colonisés furent même un peu plus faibles que ceux consentis par les autres puissances coloniales. Si l’on prend en considération les avantages politiques et militaires liés à la possession de ses colonies, l’empire colonial a sans doute été une excellente affaire pour la France.
Survey of GP registrars’ training experience and confidence in managing children and adolescents with mental health conditions in primary care
Authors: Reilly Eimear O , Doherty Anne , Cullen Walter 
Published: October 2024

Abstract

Objectives:
The aim of this study is to assess General Practitioner (GP) trainees’ training experience, and confidence in assessing and managing children and adolescents with common mental health conditions in primary care in Ireland.

Methods:
An online anonymous questionnaire was distributed to third and fourth year GP registrars enrolled in the Irish College of General Practitioners training schemes. The online questionnaire evaluated participants’ training experiences and confidence levels in key areas of child and adolescent mental health in primary care.

Results:
Sixty participants completed the survey out of 406, yielding a response rate of 14.8%. The majority (88%) reported no formal training or experience working in Child and Adolescent Mental Healthcare Services (CAMHS) during their GP training scheme. Responses indicated that many participants rated their competency, skills, and knowledge in essential areas of Child and Adolescent Mental Health as needing improvement. Similarly, their awareness of referral pathways and specialty services was below expectations, with poor perceived access to services. A large proportion (91.7%) expressed a definite need for further training in child and adolescent mental health disorders.

Conclusion:
The results highlight the need for enhanced training and support for GP trainees in the field of Child and Adolescent Mental Health, ensuring their ability to effectively and confidently address these common issues in primary care.
Exploring the relationship between strategic attention breadth and performance: The role of corporate social responsibility
Authors: Jancenelle Vivien E. 
Published: October 2024

Abstract
The attention-based view contends that executives possess limited attentional capabilities that must be carefully allocated across different strategic issues. Although many scholars contend that narrow strategic attention breadth leads to better performance, others argue that broad strategic attention breadth may be more beneficial due to better opportunity scanning. We posit that the relationship between strategic attention breadth and performance will be inverted U-shaped, where strategic attention breadth is positively related to firm performance up to an optimal point, after which firms will see declining benefits due to executive cognitive overload. Furthermore, we propose that executives’ assessment of strategic opportunities will be influenced by the firm’s corporate social responsibility perspective, as the firm’s environmental and ethical commitment may mitigate executive blind spots and enhance opportunity selection. We support our hypotheses with multiple measures of firm performance and a content analysis of annual reports corresponding to a 5-year longitudinal sample of 2,245 S&P 500 firms.
Unpacking the relation between learning orientation and product innovation: Does strategic flexibility matter?
Authors: Marrucci Anna , Rialti Riccardo 
Published: October 2024

Abstract
Learning orientation emphasizes the importance of learning from any experience. It is grounded on commitment to learn, shared vision, open‐mindedness, and knowledge sharing. Organizational knowledge management literature based on social complexity theory posits that learning orientation makes companies generate new knowledge through spontaneous multi-level iterations and self-organization. Challenges related to the current business environment requires companies to constantly adjust to remain competitive. Still, the mechanisms making learning-oriented companies more capable to develop innovative product have been scantly explored. Pertinent literature actually conjectures this relationship as spontaneous, directed, and unmediated. Moreover, Small and Medium Enterprises (SMEs)rarely represent the context of analysis of research on this topic. Frequently lacking resources to systematically pursue product innovation, SMEs rely on solutions deriving from the combination of internal knowledge and external sources; thus, these companies depend on learning orientation principles to remain innovative. In this vein, the research aims to understand how learning orientation allows product innovation in SMEs through the achievement of strategic flexibility. Structural equation modelling was used to analyse data from 300 British SMEs. The results demonstrate the mediating role of strategic flexibility in the relationships between learning orientation and product innovation. The importance of innovation culture also emerged.
21-cm Epoch of reionisation power spectrum with closure phase using the Murchison Widefield Array
Authors: Tiwari Himanshu , Thyagarajan Nithyanandan , Trott Cathryn , McKinley Ben 
Published: October 2024

Abstract
The radio interferometric closure phases can be a valuable tool for studying cosmological HI from the early Universe. Closure phases have the advantage of being immune to element-based gains and associated calibration errors. Thus, calibration and errors therein, which are often sources of systematics limiting standard visibility-based approaches, can be avoided altogether in closure phase analysis. In this work, we present the first results of the closure phase power spectrum of HI 21-cm fluctuations using the Murchison Widefield Array (MWA), with

$\sim12$

h of MWA phase II observations centred around redshift,

$z\approx 6.79$

, during the Epoch of Reionisation. On analysing three redundant classes of baselines – 14, 24, and 28 m equilateral triads, our estimates of the

$2\sigma$

(95% confidence interval) 21-cm power spectra are

$\lesssim(184)^2 pseudo\,\mathrm{mK}^2$

at

${k}_{||} = 0.36 pseudo\ h \mathrm{Mpc}^{-1}$

in the EoR1 field for the 14 m baseline triads, and

$\lesssim(188)^2 pseudo\,\mathrm{mK}^2$

at

$k_{||} = 0.18 \,pseudo\ h \mathrm{Mpc}^{-1}$

in the EoR0 field for the 24 m baseline triads. The ‘pseudo’ units denote that the length scale and brightness temperature should be interpreted as close approximations. Our best estimates are still 3-4 orders high compared to the fiducial 21-cm power spectrum; however, our approach provides promising estimates of the power spectra even with a small amount of data. These data-limited estimates can be further improved if more datasets are included into the analysis. The evidence for excess noise has a possible origin in baseline-dependent systematics in the MWA data that will require careful baseline-based strategies to mitigate, even in standard visibility-based approaches.
Public Resistance to New Houses of Worship
Authors: Schnabel Eliska 
Published: October 2024

AbstractHow do residents evaluate zoning relief applications for new houses of worship? Do they decide based on the facility’s expected level of nuisance, the religion of the house of worship, or the attitudes of neighbors and local officials? Using a conjoint survey experiment, this paper shows that religion is the most important predictor of resistance. People are more likely to resist new mosques than Christian churches, irrespective of other facility properties. Furthermore, this paper highlights the significant role of partisanship in residents’ evaluation of zoning relief applications. Republican respondents were more likely to reject minority houses of worship and support Christian churches than Democrats, moderating the influence of religion. Such bias has important implications for the zoning relief application process. Local officials should evaluate residents’ opposition differently when the application concerns minority groups.
Associations of artificial sweetener intake with cardiometabolic disorders and mortality: a population-based study
Authors: Kan Jun-yan , Wang Dong-chen , Chang Yu , Jiang Zi-hao , Jiang Xiao-min , Xie Hao , Jia Xin-xin , Chen Ming-xing , Gu Yue 
Published: October 2024

AbstractArtificial sweeteners are generally used and recommended to alternate added sugar for health promotion. However, the health effects of artificial sweeteners remain unclear. In this study, we included 6371 participants from the National Health and Nutrition Examination Survey with artificial sweetener intake records. Logistic regression and Cox regression were applied to explore the associations between artificial sweeteners and risks of cardiometabolic disorders and mortality. Mendelian randomisation was performed to verify the causal associations. We observed that participants with higher consumption of artificial sweeteners were more likely to be female and older and have above medium socio-economic status. After multivariable adjustment, frequent consumers presented the OR (95 % CI) for hypertension (1·52 (1·29, 1·80)), hypercholesterolaemia (1·28 (1·10, 1·50)), diabetes (3·74 (3·06, 4·57)), obesity (1·52 (1·29, 1·80)), congestive heart failure (1·89 (1·35, 2·62)) and heart attack (1·51 (1·10, 2·04)). Mendelian randomisation confirmed the increased risks of hypertension and type 2 diabetes. Moreover, an increased risk of diabetic mortality was identified in participants who had artificial sweeteners ≥ 1 daily (HR = 2·62 (1·46, 4·69), P = 0·001). Higher consumption of artificial sweeteners is associated with increased risks of cardiometabolic disorders and diabetic mortality. These results suggest that using artificial sweeteners as sugar substitutes may not be beneficial.
The rhetoric of norm evasion and its social psychological underpinnings: The case of colonial redress
Authors: Kim Claudia Junghyun 
Published: October 2024

Abstract
The growing focus on the agency of norm violators has led to new insights on various rhetorical strategies that states accused of norm violation deploy. However, few studies have simultaneously examined both specific rhetorical devices that enable norm evasion and their social psychological underpinnings. Building on International Relations (IR) research on norm evasion and social psychological research on in-group wrongdoings, this paper conceptualises states’ rhetoric of norm evasion as a social psychological coping strategy: aimed at protecting in-group esteem. Empirically, the paper offers a systematic analysis of Japan’s rhetoric of norm evasion regarding its colonial and wartime past, as well as its social psychological underpinnings. Five rhetorical strategies of norm evasion are identified: (1) claiming legality, (2) claiming the inapplicability of relevant treaties, (3) claiming the inapplicability of relevant norms, (4) equivocating, and (5) citing non-disparagement pledges. These strategies, as well as the psychological disengagement they enable, have culminated in the promotion of non-remembrance, or behavioural manifestations of norm regress.
Motion control of legged robots based on gradient central pattern generators
Authors: Zhang Yihui , Liu Wenshuo , Tan Ning 
Published: October 2024

AbstractThe design of motion control systems for legged robots has always been a challenge. This article first proposes a motion control method for legged robots based on the gradient central pattern generator (GD-CPG). The periodic signals output from the GD-CPG neural network are used as the drive signals of each thigh joint of the legged robots, which are then converted into the driving signal of the knee and ankle joints by the thigh–knee mapping function and the knee–ankle mapping function. The proposed control algorithm is adapted to quadruped and hexapod robots. To improve the ability of legged robots to cope with complex terrains, this article further proposes the responsive gradient-CPG motion control method for legged robots. From the perspective of bionics, a biological vestibular sensory feedback mechanism is established in the control system. The mechanism adjusts the robot’s motion state in real time through the attitude angle of the body measured during the robot’s motion, to keep the robot’s body stable when it moves in rugged terrains. Compared with the traditional feedback model that only balances the body pitch, this article also adds the balancing functions of body roll and yaw to balance the legged robot’s motion from more dimensions and improve the linear motion capability. This article also introduces a differential evolutionary algorithm and designs a fitness function to adaptively optimize vestibular sensory feedback parameters. The validity, robustness, and transferability of the method are verified through simulations and physical experiments.