bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting sustainability in the solar industry: bibliometric and systematic analysis of alternatives for the end-of-life of photovoltaic modules
Authors: Bueno Pietra Taize , Salvia Amanda Lange , Rebelatto Bianca Gasparetto , Brandli Luciana Londero 
Published: July 2024

AbstractThis study conducted bibliometric and systematic analyses of the literature to map the application of life cycle assessment studies on photovoltaic panels, focusing on end-of-life alternatives. Seventy-six articles addressing management strategies, treatment, recycling, and utilization of the panels were examined. The results revealed a significant increase in the number of publications over time, particularly in high-impact journals. Sixteen end-of-life alternatives for the panels were identified, including recycling practices, material recovery, and landfills. All alternatives were analyzed regarding environmental, social, and economic impacts. Understanding the impacts of different end-of-life methods for solar panels is key in supporting government management and the implementation of effective policies and regulations. Additionally, it is necessary to consider the environmental and social effects, as well as ensure the protection of workers involved in related activities and prevent soil, water, and air contamination caused by different types of alternatives, such as dissolution and incineration. To enhance the recycling and recovery of elements from solar panels, scientific advancements and improvements in industrial infrastructure are necessary along with the implementation of a regional logistics approach that minimizes emissions resulting from transportation. The bibliometric analysis indicates that 65% of the studies were published within the last 3 years, and one quarter of the trending keywords of this period is “recycling”. This is particularly relevant to show a major area for research in the solar industry. By means of the systematic analysis, this study compiles and synthetizes the most recent and relevant alternatives for managing end-of-life photovoltaic panels. The comprehensive overview of the impacts associated with these alternatives contributes to the literature and practice of sustainability in the energy sector, providing support for informed decisions directed towards implementation.
Development of an IoT-based multi-level system for real-time water quality monitoring in industrial wastewater
Authors: Nishan Rejoan Kobir , Akter Shapla , Sony Rayhanul Islam , Hoque Md. Mozammal , Anee Meratun Junnut , Hossain Amzad 
Published: July 2024

AbstractIndustrialization and urbanization contribute significantly to environmental pollution, particularly in water bodies. The consequences of this pollution are dire, impacting both the environment and public health. A serious hazard to life on Earth, contaminated water can cause food poisoning, diarrhea, respiratory diseases, and skin ailments, among other health problems. In countries like Bangladesh, where industrial activities, particularly in the garment sector, are prevalent, waste dumping into rivers and canals has reached alarming levels. This has resulted in a drastic decline in water quality, endangering aquatic life and ecosystems. To solve this important issue, we built an innovative real-time water quality monitoring system using the Internet of Things (IoT). Our system operates at three levels, collecting data from different layers of wastewater. Key parameters, including temperature, turbidity, total dissolved solids (TDS), and pH, are continuously monitored to assess water quality. The analysis revealed that wastewater temperature varied between 25 and 37 °C across different sites, with higher temperatures observed in industrial zones, indicating potential thermal pollution. Total dissolved solids (TDS) levels exhibited substantial variations, ranging from 170 to 360 ppm, surpassing standard thresholds and posing a threat to aquatic ecosystems. Turbidity readings ranged from 1.30 to 12.89 NTU, with higher turbidity observed in areas receiving industrial discharge, highlighting the impact of suspended solids on water clarity. pH values exceeded 7.0 across all sites, ranging from 9.5 to 10.32, indicating alkaline wastewater, particularly in regions with dyeing and textile industries. By integrating these specific metrics into our monitoring system, we provide valuable insights into industrial wastewater quality and its environmental implications. These findings underscore the urgent need for real-time monitoring and targeted interventions to address water pollution. Implementing sustainable water management strategies in industrial contexts is critical to protecting public health and preserving ecosystems for future generations.
Fast Li-ion battery chemistry enabled by small-sized solvent
Authors: Huang Jinghao , Feng Qikun , Luo Chao 
Published: July 2024

AbstractCarbonate-based electrolytes, known for their high solvation energy and high ionic conductivity at room temperature, present significant challenges in ultra-low temperature and fast charging applications. In the February issue of Nature, Fan and colleagues demonstrated that utilizing solvents like fluoroacetonitrile with small molecular size and low solvation energy, facilitates the creation of rapid ion-conduction ligand channels and enables the formation of an inorganic-rich interphase for high-performance ionic batteries, effectively addressing the aforementioned challenges.
SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN
Authors: Sahoo Saswati , Mishra Sushruta , Brahma Biswajit , Barsocchi Paola , Bhoi Akash Kumar 
Published: July 2024

AbstractRecently, new advancements in technologies have promoted the classification of brain tumors at the early stages to reduce mortality and disease severity. Hence, there is a need for an automatic classification model to automatically segment and classify the tumor regions, which supports researchers and medical practitioners without the need for any expert knowledge. Thus, this research proposes a novel framework called the scatter sharp optimization-based correlation-driven deep CNN model (SSO-CCNN) for classifying brain tumors. The implication of this research is based on the growth of the optimized correlation-enabled deep model, which classifies the tumors using the optimized segments acquired through the developed sampled progressively growing generative adversarial networks (sampled PGGANs). The hyperparameter training is initiated through the designed SSO optimization that is developed by combining the features of the global and local searching phase of flower pollination optimization as well as the adaptive automatic solution convergence of sunflower optimization for precise consequences. The recorded accuracy, sensitivity, and specificity of the SSO-CCNN classification scheme are 97.41%, 97.89%, and 96.93%, respectively, using the brain tumor dataset. In addition, the execution latency was found to be 1.6 s. Thus, the proposed framework can be beneficial to medical experts in tracking and assessing symptoms of brain tumors reliably.
Impact of a fundamental movement skills program on educator practice in early learning centres
Authors: McGuckin Teneale , Turner Denise , Jones Tamra , Crowther Fiona , Eagers Jackie , Connor Jonathan 
Published: July 2024

Abstract
Introduction
Early development of fundamental movement skills (FMS) has various health, social, emotional, cognitive, and physical benefits. However, reports indicate children’s motor skill proficiencies are diminishing. Therefore, the early childhood years and early childhood educators are vital for providing opportunities for FMS development, which may enable children to acquire a lifelong positive relationship with physical activity (PA).

Methods
Educators at early learning centres (ELC) in a regional city were invited to participate in semi-structured interviews and complete a FMS diary. Following the initial data collection, a university student-led FMS focused PA program was delivered. After the completion of the program, educators were invited to participate in a follow-up interview and to complete another FMS diary. The interviews were thematically analysed and the FMS diaries were descriptively reported.

Results
From pre-program interviews, three themes were identified including “educator training and recall”, “environmental moderators”, and “expanding knowledge”. Educators indicated they had some formal training regarding physical education, but their knowledge was limited or difficult to recall. Educators suggested increasing their knowledge would be a valuable future enabler to advance FMS outcomes. After the completion of the program, interviews with the educators identified “program impact on practices” as another surfacing theme and is indicative the program elicited reflection of educators about their practices.

Conclusion
A university student-led FMS focused program provoked reflective practices of educators about FMS proficiency and programming. Educators identified challenges, enablers, and opportunities for facilitating FMS activities at ELC.
Susceptibility to scientific misinformation and perception of news source reliability in secondary school students
Authors: Siani Alessandro , Joseph Maria , Dacin Claudiu 
Published: July 2024

AbstractIn the current post-truth era, the ability to assess the reliability of information is an essential citizenship attribute. With nearly half of the present internet traffic estimated to be generated by bots, and misinformation being regularly weaponised by numerous parties for economic or political gain, it is imperative that citizens are equipped with the tools to discriminate facts from fiction, particularly for health- and science-related matters. The present study reports the results of a survey (n = 776) carried out to evaluate susceptibility to scientific misinformation and perception of news source reliability amongst students in an English secondary school. Two distinct scores were developed in order to differentially measure susceptibility to disinformation (i.e. deliberately false information) and unintentional misinformation (i.e. getting the facts wrong). Non-parametric analysis indicated that students’ misinformation (as measured by both scores) decreased significantly over the course of the 5 years of secondary education. Interestingly, the adolescents who took part in the survey exhibited considerably lower belief in common science-based conspiracy theories than the levels previously reported among British adults. Students indicated teachers as their most frequent choice of scientific news. While social media were also indicated as common news sources, students expressed awareness of the unreliability of the content available on social media. Analysis of the open answers indicated that students considered BBC as the most trustworthy source of scientific information, and TikTok as the least trustworthy.
Characterizing Climatic Socio‐Environmental Tipping Points in Coastal Communities: A Conceptual Framework for Research and Practice
Authors: Shortridge J. E. , Bukvic A. , Mitchell M. , Goldstein J. , Allen T. 
Published: July 2024

AbstractThe concept of climate tipping points in socio‐environmental systems is increasingly being used to describe nonlinear climate change impacts and encourage social transformations in response to climate change. However, the processes that lead to these tipping points and their impacts are highly complex and deeply uncertain. This is due to numerous interacting environmental and societal system components, constant system evolution, and uncertainty in the relationships between events and their consequences. In the face of this complexity and uncertainty, this research presents a conceptual framework that describes systemic processes that could lead to tipping points socio‐environmental systems, with a focus on coastal communities facing sea level rise. Within this context, we propose an organizational framework for system description that consists of elements, state variables, links, internal processes, and exogenous influences. This framework is then used to describe three mechanisms by which socio‐environmental tipping could occur: feedback processes, cascading linkages, and nonlinear relationships. We presented this conceptual framework to an expert panel of coastal practitioners and found that it has potential to characterize the effects of secondary climatic impacts that are rarely the focus of coastal risk analyses. Finally, we identify salient areas for further research that can build upon the proposed conceptual framework to inform practical efforts that support climate adaptation and resilience.
How Does Heavy Precipitation of Varying Durations Respond to Urbanization in China?
Authors: Xie Xue , Lin Kairong , Xiao Mingzhong , Zhou Xudong , Zhao Gang , Yamazaki Dai 
Published: July 2024

AbstractHeavy precipitation, which is changing significantly as Earth's climate warms, can result in flooding that seriously damages societies. However, little is known about how heavy precipitation of varying durations responds to the diverse gradients of urban development in China. Through statistical analyses spanning from 1990 to 2021, we have examined shorter‐duration (≤3 days) and longer‐duration (>3 days) heavy precipitation across a spectrum of urban development, encompassing long‐term built‐up (LTB), recently built‐up (RTB), and rural background catchments within each urban agglomeration catchment (UAC) across China. We find that urbanization primarily influences shorter‐duration heavy precipitation, with a more pronounced effect observed in the LTB catchments. Conversely, the influence of urbanization on longer‐duration heavy precipitation appears to be more weakened in the RTB catchments. The intensification of shorter‐duration heavy precipitation induced by urbanization is more pronounced in humid regions and within larger UACs, while the urban effect on longer‐duration heavy precipitation is weaker in humid regions and within larger UACs. Notably, the attribution analysis results of the geographical detector model confirm our findings. Anthropogenic‐related factors (population density, nighttime light data, impervious surface percent, land surface temperature) significantly influence shorter‐duration heavy precipitation in more UACs than natural factors (distance from the coast, wind and elevation), while natural factors dominate longer‐duration events in larger UACs across China. Our results highlight the necessity of considering the spatial difference between the UAC center and UAC periphery for accurate projections and effective prevention of heavy precipitation and potential flood risks in the future.
Intermediate Descending Layers Emerged Simultaneously in Five Different Locations During the Solar Eclipse on 21 June 2020
Authors: Chen Gang , Cai Xuesi , Zhang Shaodong , Gong Wanlin , Yang Guotao , Wang Yungang , Hu Lianhuan , Zhong Dingkun , Li Yaxian , Xu Yimeng , Zhang Min , Hu Pengfei 
Published: July 2024

AbstractSolar eclipse traveled across South China in the afternoon on 21 June 2020. Five ionosondes located from mid‐to low‐latitudes and on both north and south of the eclipse path were applied to investigate the ionospheric responses. Both the zonal and meridional ranges of the observation region have exceeded 1,000 km. All the five ionosondes had observed the Intermediate Descending Layers (IDLs) simultaneously just after the eclipse maximum and this is a very small probability event. During the solar eclipse, the multi‐hop echoes above the Es, the rising Es to 150 km altitude, the plasma flux from above F2‐layer were also observed and analyzed. The descending trend of the IDLs and the peak height of F2‐layer (hmF2) shows great consistency, indicating the close relationship between the eclipse induced plasma flux and the IDLs. The traces of gravity waves were also found in the IDLs and F‐layer. The plasma flux may carry the ions to valley region and the eclipse produced gravity waves were responsible for the formation of the IDLs.
Dissecting the vascular-cognitive nexus: energetic vs. conventional hemodynamic parameters
Authors: Cheng Hao-Min , Wang Jiun-Jr , Chuang Shao-Yuan , Lin Chen-Hua , Mitchell Gary F. , Huang Chi-Jung , Wang Pei-Ning , Chung Chih-Ping , Chen Liang-Kung , Pan Wen-Harn , Peng Li-Ning , Chen Chen-Huan 
Published: July 2024

AbstractBlood pressure or flow measurements have been associated with vascular health and cognitive function. We proposed that energetic hemodynamic parameters may provide a more nuanced understanding and stronger correlation with cognitive function, in comparisons with conventional aortic and carotid pressure and flow parameters. The study comprised 1858 participants, in whom we assessed cognitive function via MoCA method, and measured central aortic and carotid pressure and flow waveforms. In addition to various pressure and flow parameters, we calculated energetic hemodynamic parameters through integration of pressure multiplying flow with respect to time. Energetic hemodynamic parameters, particularly aortic and carotid mean and pulsatile energy and pulsatility index (PI), were significantly associated with MoCA score more than any aortic and carotid pressure and flow parameters, after adjusting for age, sex, education, depression score, heart rate, BMI, HDL-cholesterol, and glucose levels. MoCA exhibited a strong positive relationship with carotid mean energy (standardized beta = 0.053, P = 0.0253) and a negative relationship with carotid energy PI (standardized beta = −0.093, P = 0.0002), exceeding the association with all traditional pressure- or flow-based parameters. Aortic pressure reflection coefficient at the aorto-carotid junction was positively correlated with mean carotid energy and negatively correlated with PI. Aortic characteristic impedance positively correlated with carotid energy PI but not mean energy. Our research indicates that energetic hemodynamic parameters, particularly carotid mean energy and carotid energy PI, have a stronger association with MoCA scores than traditional pressure- or flow-based metrics. This correlation with cognitive function is notably influenced by the properties of the aorto-carotid interface.
Structured connectivity in the output of the cerebellar cortex
Authors: Gruver Kim M. , Jiao Jenny W. Y. , Fields Eviatar , Song Sen , Sjöström Per Jesper , Watt Alanna J. 
Published: July 2024

AbstractThe spatial organization of a neuronal circuit is critically important for its function since the location of neurons is often associated with function. In the cerebellum, the major output of the cerebellar cortex are synapses made from Purkinje cells onto neurons in the cerebellar nuclei, yet little has been known about the spatial organization of these synapses. We explored this question using whole-cell electrophysiology and optogenetics in acute sagittal cerebellar slices to produce spatial connectivity maps of cerebellar cortical output in mice. We observed non-random connectivity where Purkinje cell inputs clustered in cerebellar transverse zones: while many nuclear neurons received inputs from a single zone, several multi-zonal connectivity motifs were also observed. Single neurons receiving input from all four zones were overrepresented in our data. These findings reveal that the output of the cerebellar cortex is spatially structured and represents a locus for multimodal integration in the cerebellum.
Stimuli-responsive mechanically interlocked polymer wrinkles
Authors: Yang Mengling , Chen Shuai , Zhang Zhaoming , Cheng Lin , Zhao Jun , Bai Ruixue , Wang Wenbin , Gao Wenzhe , Yu Wei , Jiang Xuesong , Yan Xuzhou 
Published: July 2024

AbstractArtificial wrinkles, especially those with responsive erasure/regeneration behaviors have gained extensive interest due to their potential in smart applications. However, current wrinkle modulation methods primarily rely on network rearrangement, causing bottlenecks in in situ wrinkle regeneration. Herein, we report a dually cross-linked network wherein [2]rotaxane cross-link can dissipate stress within the wrinkles through its sliding motion without disrupting the network, and quadruple H-bonding cross-link comparatively highlight the advantages of [2]rotaxane modulation. Acid stimulation dissociates quadruple H-bonding and destructs network, swiftly eliminating the wrinkles. However, the regeneration process necessitates network rearrangement, making in situ recovery unfeasible. By contrast, alkaline stimulation disrupts host–guest recognition, and subsequent intramolecular motion of [2]rotaxane dissipate energy to eliminate wrinkles gradually. The always intact network allows for the in situ recovery of surface microstructures. The responsive behaviors of quadruple H-bonding and mechanical bond are orthogonal, and their combination leads to wrinkles with multiple but accurate responsiveness.
Circulating KRAS G12D but not G12V is associated with survival in metastatic pancreatic ductal adenocarcinoma
Authors: Till Jacob E. , McDaniel Lee , Chang Changgee , Long Qi , Pfeiffer Shannon M. , Lyman Jaclyn P. , Padrón Lacey J. , Maurer Deena M. , Yu Jia Xin , Spencer Christine N. , Gherardini Pier Federico , Da Silva Diane M. , LaVallee Theresa M. , Abbott Charles , Chen Richard O. , Boyle Sean M. , Bhagwat Neha , Cannas Samuele , Sagreiya Hersh , Li Wenrui , Yee Stephanie S. , Abdalla Aseel , Wang Zhuoyang , Yin Melinda , Ballinger Dominique , Wissel Paul , Eads Jennifer , Karasic Thomas , Schneider Charles , O’Dwyer Peter , Teitelbaum Ursina , Reiss Kim A. , Rahma Osama E. , Fisher George A. , Ko Andrew H. , Wainberg Zev A. , Wolff Robert A. , O’Reilly Eileen M. , O’Hara Mark H. , Cabanski Christopher R. , Vonderheide Robert H. , Carpenter Erica L. 
Published: July 2024

AbstractWhile high circulating tumor DNA (ctDNA) levels are associated with poor survival for multiple cancers, variant-specific differences in the association of ctDNA levels and survival have not been examined. Here we investigate KRAS ctDNA (ctKRAS) variant-specific associations with overall and progression-free survival (OS/PFS) in first-line metastatic pancreatic ductal adenocarcinoma (mPDAC) for patients receiving chemoimmunotherapy (“PRINCE”, NCT03214250), and an independent cohort receiving standard of care (SOC) chemotherapy. For PRINCE, higher baseline plasma levels are associated with worse OS for ctKRAS G12D (log-rank p = 0.0010) but not G12V (p = 0.7101), even with adjustment for clinical covariates. Early, on-therapy clearance of G12D (p = 0.0002), but not G12V (p = 0.4058), strongly associates with OS for PRINCE. Similar results are obtained for the SOC cohort, and for PFS in both cohorts. These results suggest ctKRAS G12D but not G12V as a promising prognostic biomarker for mPDAC and that G12D clearance could also serve as an early biomarker of response.