bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life Cycle Assessment in mineral processing – a review of the role of flotation
Authors: Marmiroli Benedetta , Rigamonti Lucia , Brito-Parada Pablo R. 
Published: December 2021

Abstract
Purpose
The aim of this literature review is to investigate the role of the beneficiation stage in the Life Cycle Assessment (LCA) of metals and minerals with a focus on the flotation process.

Methods
The systematic literature search included LCA studies comprising the beneficiation stage in their system boundaries and resulted in 29 studies that met the criteria requirements and were analysed. First, the system boundaries are investigated, along with the level of detail in the description of the sub-processes (e.g. flotation) and data granularity. Then, the life cycle inventories are scrutinised: data transparency and the relation between system granularity and data availability is commented. Of particular relevance, the way in which the functional unit is dealt with is examined. Finally, studies impact assessments are compared and discussed, and key parameters are highlighted.

Results and discussion
For system boundaries, beneficiation is generally embedded into the mining stage. Even when described on its own, important sub-processes (e.g. flotation) are not considered, except for eight cases analysed. Functional unit definition is hindered by the output of the system being an intermediate product. Indeed, most studies use a declared functional unit but fail to provide its relevant characteristics, which is essential for a correct interpretation of results and for comparisons. Most studies rely on secondary data, not always presented transparently, to describe beneficiation. Results on the role of beneficiation in the metal value chain environmental impacts are conflicting, partly because of its site dependency. Site-dependent parameters found to be determining are ore grade, energy mix, mining technique, concentrate grade and ore mineralogy.

Conclusions
The flotation process, and more generally the beneficiation stage, is typically overlooked in LCA studies despite its growing relevance. Beneficiation not being assessed as a standalone stage, detailed in its subprocess, the use of outdated and secondary data, along with a lack of transparency in the inventory and in the key parameters are all factors that affect the environmental assessment of the entire metal and mineral sector, and thus the LCA of many products.

Recommendation
Greater efforts should be allocated to considering the sub-processes in the beneficiation stage, particularly flotation. Information on the identified key parameters should be available to the practitioners and sensitivity analyses to investigate their influence are recommended. Hotspots specific to flotation have been identified and should be used to orient data gathering when focusing on this process. Five options of functional unit and their application are recommended.
Spatial pattern analysis of forest trees based on the vectorial mark
Authors: Xin Honglu , Jackson Toby , Cao Yujie , Zhang Huanyuan , Lin Yi , Shenkin Alexander 
Published: December 2021

AbstractAnalysis of spatial patterns to describe the spatial correlation between a tree location and marks (i.e., structural variables), can reveal stand history, population dynamics, competition and symbiosis. However, most studies of spatial patterns have concentrated on tree location and tree sizes rather than on crown asymmetry especially with direct analysis among marks characterizing facilitation and competition among of trees, and thus cannot reveal the cause of the distributions of tree locations and quantitative marks. To explore the spatial correlation among quantitative and vectorial marks and their implication on population dynamics, we extracted vertical and horizontal marks (tree height and crown projection area) characterizing tree size, and a vectorial mark (crown displacement vector characterizing the crown asymmetry) using an airborne laser scanning point cloud obtained from two forest stands in Oxfordshire, UK. Quantitatively and vectorially marked spatial patterns were developed, with corresponding null models established for a significance test. We analyzed eight types of univariate and bivariate spatial patterns, after first proposing four types. The accuracy of the pattern analysis based on an algorithm-segmented point cloud was compared with that of a truly segmented point cloud. The algorithm-segmented point cloud managed to detect 70–86% of patterns correctly. The eight types of spatial patterns analyzed the spatial distribution of trees, the spatial correlation between tree size and facilitated or competitive interactions of sycamore and other species. These four types of univariate patterns jointly showed that, at smaller scales, the trees tend to be clustered, and taller, with larger crowns due to the detected facilitations among trees in the study area. The four types of bivariate patterns found that at smaller scales there are taller trees and more facilitation among sycamore and other species, while crown size is mostly homogeneous across scales. These results indicate that interspecific facilitation and competition mainly affect tree height in the study area. This work further confirms the connection of tree size with individual facilitation and competition, revealing the potential spatial structure that previously was hard to detect.
Hsa-miR-3651 could serve as a novel predictor for in-breast recurrence via FRMD3
Authors: Zellinger Barbara , Bodenhofer Ulrich , Engländer Immanuela A. , Kronberger Cornelia , Grambozov Brane , Ruznic Elvis , Stana Markus , Karner Josef , Fastner Gerd , Sotlar Karl , Sedlmayer Felix , Zehentmayr Franz 
Published: December 2021

AbstractBackgroundMicroRNAs are small non-coding RNAs with pivotal regulatory functions in multiple cellular processes. Their significance as molecular predictors for breast cancer was demonstrated in the past 15 years. The aim of this study was to elucidate the role of hsa-miR-3651 for predicting of local control (LC) in early breast cancer.ResultsBy means of high-throughput technology, hsa-miR-3651 was found to be differentially expressed between patients who experienced local relapse compared to those without (N  =  23;p  =  0.0035). This result could be validated in an independent cohort of 87 patients using RT-qPCR (p  <  0.0005). In a second analysis step with a chip-based microarray containing 70,523 probes of potential target molecules, FERM domain protein 3 (FRMD3) was found to be the most down-regulated protein (N  =  21;p  =  0.0016). Computational analysis employing different prediction algorithms revealed FRMD3 as a likely downstream target of hsa-miR-3651 with an 8mer binding site between the two molecules. This could be validated in an independent patient set (N  =  20,p  =  0.134).ConclusionThe current study revealed that hsa-miR-3651 is a predictor of LC in early breast cancer via its putative target protein FRMD3. Since microRNAs interfere in multiple pathways, the results of this hypothesis generating study may contribute to the development of tailored therapies for breast cancer in the future.
Aboriginal cultural educators teaching the teachers: mobilisng a collaborative cultural mentoring program to affect change
Authors: Burgess Cathie , Harwood Valerie 
Published: December 2021

AbstractThis paper discusses an Aboriginal cultural mentoring project for non-Aboriginal teachers that positions Aboriginal people front and centre as cultural and educational experts. In so doing it sets out to contribute to work in Australia that challenges ‘common’ understandings about mentoring in educational contexts where the expert is usually a western-educated non-Aboriginal teacher. In this project, non-Aboriginal teachers are supported in implementing culturally responsive curriculum and pedagogies into their classroom through building relationships with Aboriginal mentors and students. Analysis of thirteen pre and post surveys, four mentee interviews and one mentee focus group, illuminated the emergence of collaborative cultural mentoring processes, where teachers developed trusting, reciprocal and respectful relationships with Aboriginal people. We argue that a systematic, well-supported Aboriginal cultural mentoring program can be used to create and convert new knowledge into practice, and that this can have a positive impact on teachers’ understanding of teaching/learning processes thereby contributing to Aboriginal student engagement in their learning.
An improved weighted optimization approach for large-scale global optimization
Authors: Chen Minyang , Du Wei , Song Wenjiang , Liang Chen , Tang Yang 
Published: December 2021

AbstractIt is a great challenge for ordinary evolutionary algorithms (EAs) to tackle large-scale global optimization (LSGO) problems which involve over hundreds or thousands of decision variables. In this paper, we propose an improved weighted optimization approach (LSWOA) for helping solve LSGO problems. Thanks to the dimensionality reduction of weighted optimization, LSWOA can optimize transformed problems quickly and share the optimal weights with the population, thereby accelerating the overall convergence. First, we concentrate on the theoretical investigation of weighted optimization. A series of theoretical analyses are provided to illustrate the search behavior of weighted optimization, and the equivalent form of the transformed problem is presented to show the relationship between the original problem and the transformed one. Then the factors that affect problem transformation and how they take affect are figured out. Finally, based on our theoretical investigation, we modify the way of utilizing weighted optimization in LSGO. A weight-sharing strategy and a candidate solution inheriting strategy are designed, along with a better allocation of computational resources. These modifications help take full advantage of weighted optimization and save computational resources. The extensive experimental results on CEC’2010 and CEC’2013 verify the effectiveness and scalability of the proposed LSWOA.
Energy-saving design and implementation in metro weak current systems: a case study of the Kunming metro system
Authors: Haili Chang 
Published: December 2021

AbstractWith the accelerated urbanization in China, along with the growing scale of the metro transportation network, the energy consumption of metro systems continues to increase. To face the tough challenge of climate change, China has put forward the goal of peak carbon emissions by 2030 and achieving carbon neutrality by 2060. Energy consumption has become a serious burden for metro operation companies, since 10.2% of the total operational budgets is spent on electricity. Thus the development of methods to realize energy saving and emission reduction has become a major challenge for metros. In this study we conduct an in-depth research and analysis on metro energy load classification and energy management, focusing in particular on the design and usage of power supply systems for metro weak current electromechanical systems, including tunnel fans, station air conditioners, station escalators, automatic ticketing equipment, screen doors, drainage pumps, sewage pumps, platform doors, communication systems, signals, integrated monitoring systems, automatic ticketing and various lighting equipment and facilities. It is proposed that the five weak current systems, namely platform doors, communication systems, signals, integrated monitoring and automatic fare collection, should adopt a backup power supply. In order to ensure the reliable operation of all weak current systems in the station, the traditional decentralized power supply mode is changed to a centralized power supply and uninterruptible power supply (UPS) (1 + 1) parallel double-bus system. At the same time, combined with the data on equipment quantity, station passenger flow and station building floorage, the Boruta algorithm is used to filter out the equipment related to station weak current energy consumption, and a principal component analysis (PCA) algorithm is used to further reduce the dimensions of the filtered features to reduce the algorithm overhead of the subsequent quota analysis model. The XGBoost algorithm is used to establish a prediction model for station weak current system energy consumption. Analysis shows that there is a strong correlation between the energy consumption quota and the equipment quantity as well as station building floorage. By setting different metering instruments for power supply circuits, the main energy consumption data are collected to meet the requirements for graded metering of metro energy consumption, and then the energy consumption quota for the station weak current system is reasonably predicted. By adding metering instruments to the power supply circuits of different areas and equipment, the energy consumption of the weak current system can be measured and monitored in different grades. The combination of the energy management platform and energy consumption quota provides the basis for energy management of each energy-consuming unit, and ultimately realizes energy saving and reduced consumption.
Project-based engineering learning in college: associations with self-efficacy, effort regulation, interest, skills, and performance
Authors: Wu Liang Li , Fischer Christian , Rodriguez Fernando , Washington Gregory N. , Warschauer Mark 
Published: December 2021

AbstractThis quantitative study examined student participation in an introductory project-based engineering course offered in fully face-to-face and hybrid course modes (N = 160). This course attempted to counteract trends of decreased student motivation and high attrition rates among engineering majors. Mixed-design analysis of variance examined differences in motivational constructs including student self-efficacy, effort regulation, and interest in engineering, as well as engineering skills throughout the course and across instructional modes. None of the motivational constructs were associated with significant decreases throughout the course nor with differences across instructional modes. However, students’ engineering skills increased throughout the course with no significant differences across course modalities. Furthermore, interest in engineering and effort regulation were positively associated with course performance. The instructional modality was not significantly associated with course performance. Overall, this study provides an example of a project-based introductory engineering course which may help maintain student motivation and foster student success in engineering.
Composition Dependence of Stratospheric Aerosol Shortwave Radiative Forcing in Northern Midlatitudes
Authors: Li Yaowei , Dykema John , Deshler Terry , Keutsch Frank 
Published: December 2021

AbstractBoth observations and recent model results reveal a significant organic component in stratospheric aerosols. However, intrinsic optical properties (i.e., complex refractive index) of this organic component and the mixing state of organic and ubiquitous sulfuric acid components are quite uncertain. We examine the effects of different complex refractive indices and particle mixing states on shortwave radiative forcing (RF) of stratospheric aerosols in northern midlatitudes. In the absence of large volcanic sulfur emissions, our calculations show that organic components may have substantial impacts on stratospheric aerosol optical depth (AOD). Compared to pure sulfuric acid/water aerosol, organic‐containing aerosols could cause ±100% change in shortwave RF (for low AOD conditions) depending on the refractive index and mixing state. The range found here of shortwave RF results, for different scenarios of organic complex refractive index and mixing state, call for better understandings of chemical and transport processes determining aerosol optical properties in the stratosphere.
Constraining Decadal Variability Yields Skillful Projections of Near‐Term Climate Change
Authors: Mahmood Rashed , Donat Markus G. , Ortega Pablo , Doblas‐Reyes Francisco J. , Ruprich‐Robert Yohan 
Published: December 2021

AbstractTargeted adaptation to near‐term climate change requires accurate, reliable, and actionable climate information for the next few decades. Climate projections simulate the response to radiative forcing, but are subject to substantial uncertainties due to internal variability. Decadal climate predictions aim to reduce this uncertainty by initializing the simulations using observations, but are typically limited to the next 10 years. Here, we use decadal predictions to constrain climate projections beyond the next decade and demonstrate that accounting for climate variability improves regional projections of 20‐year average temperatures. Applying this constraint to climate projections of the near future until 2035, summer temperatures over land regions in Asia and Africa tend to show stronger changes within the warming range simulated by the larger, unconstrained, ensemble—consistent with a warm phase in North Atlantic variability. This improved regional climate information can enable tailored adaptation to climate changes in the coming decades.
Partitioning of Ambient Organic Gases to Inorganic Salt Solutions: Influence of Salt Identity, Ionic Strength, and pH
Authors: Pratap Vikram , Carlton Annmarie G. , Christiansen Amy E. , Hennigan Christopher J. 
Published: December 2021

AbstractInorganic salts present in the atmosphere may affect the composition and abundance of secondary organic aerosol. Here, we quantify the effects of salt identity, salt concentration (ionic strength), and solution pH on the partitioning of ambient water‐soluble organic gases (WSOCg) at a site in the eastern United States. The experimental pH (pH = 1–6) and ionic strengths (10−3–101 mol kg−1) span a wide range of conditions found in atmospheric particles, clouds, and fog droplets. Chloride salts (NaCl, NH4Cl, and KCl) exhibit a strong salting‐out effect at all ionic strengths >0.005 mol kg−1 and pH = 1.8–6. In contrast, sulfate salts (Na2SO4, (NH4)2SO4, and K2SO4) induce both salting‐in and salting‐out behaviors, depending on ionic strength and pH. These results suggest that monovalent cations have minimal effect, while ionic strength, pH, and anion identity exert strong effects on the partitioning of ambient organic gases in the atmosphere.
Scale Analysis of Infrared Water Vapor Brightness Temperatures for Tropical Cyclone All‐Sky Radiance Assimilation
Authors: Zhao Qingyun , Baker Nancy L. , Jin Yi , Nystrom Robert 
Published: December 2021

AbstractWe analyzed the scale features of satellite infrared (IR) water vapor (WV) brightness temperature observations of tropical cyclones (TCs). This is to characterize the storm information at dominate scales in all‐sky radiance assimilation for TC numerical weather prediction. This paper presents the results from the study of Hurricane Patricia (2015). Our study shows that IR WV brightness temperatures have the ability to observe multiscale structures of TCs, ranging from a size of above 1,000 km that covers the entire storm and its surrounding areas to a scale resolving individual convective clouds embedded in the TC. The atmospheric moisture for TC development is mainly represented by large scales covering the storm and surrounding areas while the storm structures are characterized basically by all scales. The large‐scale moisture and small‐scale convection demonstrate strong correlation and are closely related to the TC development, suggesting the need for all‐sky radiance assimilation at multiple scales.
How Many Types of Severe Hailstorm Environments Are There Globally?
Authors: Zhou Ziwei , Zhang Qinghong , Allen John T. , Ni Xiang , Ng Chan‐Pang 
Published: December 2021

AbstractUnderstanding how severe hailstorms will respond to climate change remains challenging partially due to an incomplete understanding of how different environments produce hail. Leveraging a record of 14,297 global potential severe hailstorms detected by spaceborne precipitation radar, here for the first time, we explore global differences in the five distinct environmental types producing these storms. Two are found over tropical plains and hills with high convective instability, high‐moderate moisture, and low vertical wind shear (VWS). The third type are supercell environments characterized by strong VWS, with moderate instability and moisture, commonly occurring over mid‐latitude plains. Higher latitude plains and elevated terrain reflect the final two, with moderate VWS and low melting height, instability, and moisture. The variety of hailstorm environment types illustrates distinctions in the associated convective mode and embryo type, highlighting that multiple environment types pose challenges for modeling present frequency and anticipating the response of hail to climate change.
In‐Cloud Discharge of Positive Cloud‐To‐Ground Lightning and Its Influence on the Initiation of Tower‐Initiated Upward Lightning
Authors: Yuan Shanfeng , Qie Xiushu , Jiang Rubin , Wang Dongfang , Wang Yu , Wang Caixia , Srivastava Abhay , Tian Ye 
Published: December 2021

AbstractWe conducted a comprehensive observation of tower‐initiated upward lightning (UL) during the summer season from 2012 to 2020, using high‐speed video and the Beijing Broadband Lightning Network (BLNET). A total of 25 UL flashes were observed, and 21 of them were triggered by nearby positive cloud‐to‐ground (CG) lightning. It is interesting to note that eight (38%) of the parent +CG lightning flashes have more than one return stroke (RS). The distance between the UL and the grounding point of its parent +CG lightning was 4–38 km, where nine (43%) of the UL were triggered less than 2 ms after the positive RS, and 11 (52%) of them were triggered after a long time delay of 5–187 ms. Based on high‐speed video and mapping results, the short time delay was associated with the reactivation of the decayed established leader above the tower. The long time delay was associated with the negative leader extending to the region above the tower during the long continuing current. The positive E‐field change during RS or continuing current period favored the inception of an upward leader. Although both preliminary breakdown (PB) and RS in a +CG flash produced positive E‐field changes, an upward positive leader induced by PB aborted its sustained propagation after +RS.