bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance of green concrete paving block imbibed with industrial scrap steel mill scale for sustainable construction
Authors: Parvathikumar Ganeshprabhu , Balachandran Gurukarthik Babu , Sahadevan Brintha 
Published: March 2023

Abstract
The utilization of industrial waste materials in concrete compensates the shortage of natural resources by not only solving the problem due to disposal of wastes but also by developing alternative solutions to protect the environment as well as reduction in the area requirement for landfill. The concrete made with such wastages using less energy during its production and eco-friendly is called as Green Concrete. Variety of industrial wastes is employed as whole or partial substitution for coarse or fine aggregate. Steel mill scale is one such kind of waste materials produced as a result of hot process of rolling of steel in steel companies with rich source of iron content with least impurities. This research study investigates the viability of adopting steel mill scale as a partial substitute material for fine aggregate (M-sand). The current study investigates the influence on fresh and hardened concrete paving blocks and its properties, when M-sand is replaced at 0%, 20%, 40%, 60%, 80%, and 100% with steel mill scale using a mix ratio of 1:1.6:2.1 at sustained water-cement ratio value of 0.5 and target strength at 28 days of 30 Mega Pascal. Physical and chemical characterisation of the materials, concrete compressive strength, concrete split tensile strength, water absorption, and also micro-structural examination of hardened paving blocks are experimentally investigated. Results suggest that 60% of the replacements outperformed the originals. The research findings point towards the feasibility of producing paving blocks from scrap steel mill scale for enhancing environmentally friendly construction practices and sustainable pavement infrastructure.
Defects in WS2 monolayer calculated with a nonlocal functional: any difference from GGA?
Authors: Kieczka Daria , Durrant Thomas , Milton Katherine , Goh Kuan Eng Johnson , Bosman Michel , Shluger Alexander 
Published: March 2023

Abstract
Density functional theory (DFT) with generalised gradient approximation (GGA) functionals is commonly used to predict defect properties in 2D transition metal dichalcogenides (TMDs). Since GGA functionals often underestimate band gaps of semiconductors and incorrectly describe the character of electron localisation in defects and their level positions within the band gap, it is important to assess the accuracy of these predictions. To this end, we used the non-local density functional Perdew—Burke—Ernzerhof (PBE)0-TC-LRC to calculate the properties of a wide range of intrinsic defects in monolayer WS2. The properties, such as geometry, in-gap states, charge transition levels, electronic structure and the electron/hole localisation of the lowest formation energy defects are discussed in detail. They are broadly similar to those predicted by the GGA PBE functional, but exhibit numerous quantitative differences caused by the degree of electron and hole localisation in charged states. For some anti-site defects, more significant differences are seen, with both changes in defect geometries (differences of up to 0.5 Å) as well as defect level positions within the band gap of WS2. This work provides an insight into the performance of functionals chosen for future DFT calculations of TMDs with respect to the desired defect properties.
Deep learning representations for quantum many-body systems on heterogeneous hardware
Authors: Liang Xiao , Li Mingfan , Xiao Qian , Chen Junshi , Yang Chao , An Hong , He Lixin 
Published: March 2023

Abstract
The quantum many-body problems are important for condensed matter physics, however solving the problems are challenging because the Hilbert space grows exponentially with the size of the problem. The recently developed deep learning methods provide a promising new route to solve long-standing quantum many-body problems. We report that a deep learning based simulation can achieve solutions with competitive precision for the spin

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model and fermionic t-J model, on rectangular lattices within periodic boundary conditions. The optimizations of the deep neural networks are performed on the heterogeneous platforms, such as the new generation Sunway supercomputer and the multi graphical-processing-unit clusters. Both high scalability and high performance are achieved within an AI-HPC hybrid framework. The accomplishment of this work opens the door to simulate spin and fermionic lattice models with state-of-the-art lattice size and precision.
Protein Deficient Diets: Cascade Effects on a Lepidopteran Pest and Its Parasitoid Wasp
Authors: Hervet V A D , Laird R A , Floate K D 
Published: March 2023

Abstract
The nutritional quality of herbivorous insects’ food can not only directly affect the herbivorous insects themselves, but can also indirectly affect their parasitoids. To investigate these cascading, multi-trophic effects, we reared cabbage looper, Trichoplusia ni (Hübner) (Lepidoptera: Noctuidae), on artificial diets (8.1, 11.5, 16.75, 25.5, 34.25, and 43 g protein/liter diet) to assess how diet protein content affected the development of this common pest and its suitability as a host for the gregarious parasitoid, Cotesia vanessae (Reinhard) (Hymenoptera: Braconidae). Nonparasitized caterpillars experienced increased mortality when reared on 8.1 g protein/liter diet, and slower development and reduced pupal mass when reared on ≤16.75 g protein/liter diet. Host diet did not affect the percentage of hosts with parasitoid emergence nor the mass of individual parasitoids. However, parasitoid broods emerging from caterpillars reared on ≤25.5 g protein/liter diet were smaller and those reared on ≤16.75 g protein/liter diet exhibited prolonged development. The consequences of host diet on these latter F1 parasitoids did not affect their reproductive fitness. Caterpillars compensated for nutrient stress, induced by either low quality diet or parasitism, by increasing the amount of diet that they consumed. These collective results demonstrate the plasticity of host-parasitoid systems. Compensatory feeding allows the host caterpillar to moderate the consequences of low quality diets, which may subsequently affect the F1 parasitoids developing within the host, but not necessarily affect the F2 parasitoid generation.
Availability and quality of assessment instruments on patient-centredness in older adults with multimorbidity: a systematic review
Authors: Glattacker Manuela , Giesler Juergen M , Bablok Isabella , Kivelitz Laura , Schaefer Jonas , Kanat Manuela , Mohr Jil , Motschall Edith , Voigt-Radloff Sebastian , Kienbaum Thomas , Dirmaier Joerg 
Published: March 2023

AbstractObjectivePatient-centredness (PC) is central to the health care of older adults with multimorbidity, but knowledge about the psychometric quality of instruments measuring it in this group is scarce. Based on an integrative model of PC, we aimed to identify assessment instruments of PC for this particular group and evaluate their psychometric properties.MethodsWe systematically searched six electronic databases (MEDLINE, CINAHL, EMBASE, PsycINFO, Web of Science and PSYNDEX), initially covering research published up to 2018 and updated later to include work up to July 2022. In evaluating the psychometric properties of identified instruments, we followed the COSMIN methodology.ResultsWe identified 12 studies reporting on 10 instruments measuring PC in the health care of older adults with multimorbidity. For these instruments, structural validity and internal consistency were the psychometric properties reported most often. Based on the COSMIN criteria, eight instruments received favourable ratings for internal consistency with respect to methodological quality (‘very good’), measurement property (‘sufficient’) and overall quality of evidence (‘moderate’). Ratings of structural validity varied more largely, with three to seven instruments showing at least adequate methodological quality, sufficient structural validity or moderate quality of evidence.ConclusionsSimilar to comparable previous reviews, evidence on the psychometric properties of instruments assessing PC in the health care of older adults with multimorbidity was rather limited. Informed by comprehensive models of PC, further research should aim at developing measures of PC that stand out on a broader range of psychometric properties.
Different Responses to Social Capital Among Black People and White People: What Racial Differential Item Functioning Reveals for Racial Health Equity
Authors: Villalonga-Olives Ester , Majercak Kayleigh R , Wang Weimeng , Dean Lorraine T , Ransome Yusuf 
Published: March 2023

AbstractSocial capital has been conceptualized as features of social organization, such as networks, and norms that facilitate coordination and cooperation for mutual benefit. Because of long-standing anti-Black structural oppression in the United States, social capital may be associated with health differently for Black people than for other racial/ethnic groups. Our aim was to examine the psychometric properties of social capital indicators, comparing responses from Black and White people to identify whether there is differential item functioning (DIF) in social capital according to race. DIF examines how items are related to a latent construct and whether this relationship differs across groups such as different racial groups. We used data from respondents to the Southeastern Pennsylvania Household Health Survey in 2004, who lived in Philadelphia (n = 2,048), a city with a large Black population. We used item response theory analysis to test for racial DIF. We found DIF across the items, indicating measurement error, which could be related to the way these items were developed (i.e., based on cultural assumptions tested in mainstream White America). Hence, our findings underscore the need to interrogate the assumptions that underly existing social capital items through an equity-based lens, and to take corrective action when developing new items to ensure that they are racially and culturally congruent.
DaDL-SChlo: protein subchloroplast localization prediction based on generative adversarial networks and pre-trained protein language model
Authors: Wang Xiao , Han Lijun , Wang Rong , Chen Haoran 
Published: March 2023

Abstract
Chloroplast is a crucial site for photosynthesis in plants. Determining the location and distribution of proteins in subchloroplasts is significant for studying the energy conversion of chloroplasts and regulating the utilization of light energy in crop production. However, the prediction accuracy of the currently developed protein subcellular site predictors is still limited due to the complex protein sequence features and the scarcity of labeled samples. We propose DaDL-SChlo, a multi-location protein subchloroplast localization predictor, which addresses the above problems by fusing pre-trained protein language model deep learning features with traditional handcrafted features and using generative adversarial networks for data augmentation. The experimental results of cross-validation and independent testing show that DaDL-SChlo has greatly improved the prediction performance of protein subchloroplast compared with the state-of-the-art predictors. Specifically, the overall actual accuracy outperforms the state-of-the-art predictors by 10.7% on 10-fold cross-validation and 12.6% on independent testing. DaDL-SChlo is a promising and efficient predictor for protein subchloroplast localization. The datasets and codes of DaDL-SChlo are available at https://github.com/xwanggroup/DaDL-SChlo.
miProBERT: identification of microRNA promoters based on the pre-trained model BERT
Authors: Wang Xin , Gao Xin , Wang Guohua , Li Dan 
Published: March 2023

Abstract
Accurate prediction of promoter regions driving miRNA gene expression has become a major challenge due to the lack of annotation information for pri-miRNA transcripts. This defect hinders our understanding of miRNA-mediated regulatory networks. Some algorithms have been designed during the past decade to detect miRNA promoters. However, these methods rely on biosignal data such as CpG islands and still need to be improved. Here, we propose miProBERT, a BERT-based model for predicting promoters directly from gene sequences without using any structural or biological signals. According to our information, it is the first time a BERT-based model has been employed to identify miRNA promoters. We use the pre-trained model DNABERT, fine-tune the pre-trained model on the gene promoter dataset so that the model includes information about the richer biological properties of promoter sequences in its representation, and then systematically scan the upstream regions of each intergenic miRNA using the fine-tuned model. About, 665 miRNA promoters are found. The innovative use of a random substitution strategy to construct a negative dataset improves the discriminative ability of the model and further reduces the false positive rate (FPR) to as low as 0.0421. On independent datasets, miProBERT outperformed other gene promoter prediction methods. With comparison on 33 experimentally validated miRNA promoter datasets, miProBERT significantly outperformed previously developed miRNA promoter prediction programs with 78.13% precision and 75.76% recall. We further verify the predicted promoter regions by analyzing conservation, CpG content and histone marks. The effectiveness and robustness of miProBERT are highlighted.
scMCs: a framework for single-cell multi-omics data integration and multiple clusterings
Authors: Ren Liangrui , Wang Jun , Li Zhao , Li Qingzhong , Yu Guoxian 
Published: March 2023

AbstractMotivationThe integration of single-cell multi-omics data can uncover the underlying regulatory basis of diverse cell types and states. However, contemporary methods disregard the omics individuality, and the high noise, sparsity, and heterogeneity of single-cell data also impact the fusion effect. Furthermore, available single-cell clustering methods only focus on the cell type clustering, which cannot mine the alternative clustering to comprehensively analyze cells.ResultsWe propose a single-cell data fusion based multiple clustering (scMCs) approach that can jointly model single-cell transcriptomics and epigenetic data, and explore multiple different clusterings. scMCs first mines the omics-specific and cross-omics consistent representations, then fuses them into a co-embedding representation, which can dissect cellular heterogeneity and impute data. To discover the potential alternative clustering embedded in multi-omics, scMCs projects the co-embedding representation into different salient subspaces. Meanwhile, it reduces the redundancy between subspaces to enhance the diversity of alternative clusterings and optimizes the cluster centers in each subspace to boost the quality of corresponding clustering. Unlike single clustering, these alternative clusterings provide additional perspectives for understanding complex genetic information, such as cell types and states. Experimental results show that scMCs can effectively identify subcellular types, impute dropout events, and uncover diverse cell characteristics by giving different but meaningful clusterings.Availability and implementationThe code is available at www.sdu-idea.cn/codes.php?name=scMCs.
Attitudes Toward Engagement in Citizen Science Increase Self-Related, Ecology-Related, and Motivation-Related Outcomes in an Urban Wildlife Project
Authors: Greving Hannah , Bruckermann Till , Schumann Anke , Stillfried Milena , Börner Konstantin , Hagen Robert , Kimmig Sophia E , Brandt Miriam , Kimmerle Joachim 
Published: March 2023

AbstractCitizen science projects are crucial for engaging citizens in conservation efforts. Although attitudes toward engagement in citizen science were mostly considered an outcome of citizen science participation, citizens may also have a certain attitude toward engagement in citizen science when starting with a citizen science project. Moreover, there is a lack of citizen science studies that consider changes over longer periods of time. Therefore, in this research, we present two-wave data from four field studies of a citizen science project about urban wildlife ecology using cross-lagged panel analyses. We investigated the influence of attitudes toward engagement in citizen science on self-related, ecology-related, and motivation-related outcomes. We found that positive attitudes toward engagement in citizen science at the beginning of the project had positive influences on the participants’ psychological ownership and pride in their participation, their attitudes toward and enthusiasm about wildlife, and their internal and external motivation 2 months later. We discuss the implications for citizen science research and practice.
Beyond Content, Understanding What Makes Test Questions Most Challenging
Authors: Marion Sarah B , Reynolds Julie A , Schmid Lorrie , Carter B Elijah , Willis John H , Mauger Laurie , Thompson Robert J 
Published: March 2023

Abstract
When students answer test questions incorrectly, we often assume they don't understand the content; instead, they may struggle with certain cognitive skills or with how questions are asked. Our goal was to look beyond content to understand what makes assessment questions most challenging. On the basis of more than 76,000 answers to multiple-choice questions in a large, introductory biology course, we examined three question components—cognitive skills, procedural knowledge, and question forms—and their interactions. We found that the most challenging questions require the students to organize information and make meaning from it—skills that are essential in science. For example, some of the most challenging questions are presented as unstructured word problems and require interpretation; to answer correctly, the students must identify and extract the important information and construct their understanding from it. Our results highlight the importance of teaching students to organize and make meaning from the content we teach.
A multivariate view of the speciation continuum
Authors: Bolnick Daniel I , Hund Amanda K , Nosil Patrik , Peng Foen , Ravinet Mark , Stankowski Sean , Subramanian Swapna , Wolf Jochen B W , Yukilevich Roman 
Published: March 2023

AbstractThe concept of a “speciation continuum” has gained popularity in recent decades. It emphasizes speciation as a continuous process that may be studied by comparing contemporary population pairs that show differing levels of divergence. In their recent perspective article in Evolution, Stankowski and Ravinet provided a valuable service by formally defining the speciation continuum as a continuum of reproductive isolation, based on opinions gathered from a survey of speciation researchers. While we agree that the speciation continuum has been a useful concept to advance the understanding of the speciation process, some intrinsic limitations exist. Here, we advocate for a multivariate extension, the speciation hypercube, first proposed by Dieckmann et al. in 2004, but rarely used since. We extend the idea of the speciation cube and suggest it has strong conceptual and practical advantages over a one-dimensional model. We illustrate how the speciation hypercube can be used to visualize and compare different speciation trajectories, providing new insights into the processes and mechanisms of speciation. A key strength of the speciation hypercube is that it provides a unifying framework for speciation research, as it allows questions from apparently disparate subfields to be addressed in a single conceptual model.
Asexual male production by ZW recombination inArtemia parthenogenetica
Authors: Boyer Loreleï , Jabbour-Zahab Roula , Joncour Pauline , Glémin Sylvain , Haag Christoph R , Lenormand Thomas 
Published: March 2023

AbstractIn some asexual species, parthenogenetic females occasionally produce males, which may strongly affect the evolution and maintenance of asexuality if they cross with related sexuals and transmit genes causing asexuality to their offspring (“contagious parthenogenesis”). How these males arise in the first place has remained enigmatic, especially in species with sex chromosomes. Here, we test the hypothesis that rare, asexually produced males of the crustacean Artemia parthenogenetica are produced by recombination between the Z and W sex chromosomes during non-clonal parthenogenesis, resulting in ZZ males through loss of heterozygosity at the sex determination locus. We used RAD-sequencing to compare asexual mothers with their male and female offspring. Markers on several sex-chromosome scaffolds indeed lost heterozygosity in all male but no female offspring, suggesting that they correspond to the sex-determining region. Other sex-chromosome scaffolds lost heterozygosity in only a part of the male offspring, consistent with recombination occurring at a variable location. Alternative hypotheses for the production of these males (such as partial or total hemizygosity of the Z) could be excluded. Rare males are thus produced because recombination is not entirely suppressed during parthenogenesis in A. parthenogenetica. This finding may contribute to explaining the maintenance of recombination in these asexuals.
The efficacy of selection may increase or decrease with selfing depending upon the recombination environment
Authors: Sianta Shelley A , Peischl Stephan , Moeller David A , Brandvain Yaniv 
Published: March 2023

AbstractMuch theory has focused on how a population’s selfing rate affects the ability of natural selection to remove deleterious mutations from a population. However, most such theory has focused on mutations of a given dominance and fitness effect in isolation. It remains unclear how selfing affects the purging of deleterious mutations in a genome-wide context where mutations with different selection and dominance coefficients co-segregate. Here, we use individual-based forward simulations and analytical models to investigate how mutation, selection and recombination interact with selfing rate to shape genome-wide patterns of mutation accumulation and fitness. In addition to recovering previously described results for how selfing affects the efficacy of selection against mutations of a given dominance class, we find that the interaction of purifying selection against mutations of different dominance classes changes with selfing and recombination rates. In particular, when recombination is low and recessive deleterious mutations are common, outcrossing populations transition from purifying selection to pseudo-overdominance, dramatically reducing the efficacy of selection. At these parameter combinations, the efficacy of selection remains low until populations hit a threshold selfing rate, above which it increases. In contrast, selection is more effective in outcrossing than (partial) selfing populations when recombination rates are moderate to high and recessive deleterious mutations are rare.
Technical comment on “Negative-assortative mating for color in wolves”
Authors: Muir Christopher D 
Published: March 2023

AbstractHedrick et al. (2016) (Negative-assortative mating for color in wolves. Evolution, 70, 757–766) reported on “negative-assortative mating for color in wolves” from Yellowstone National Park, the "first documented case of significant negative-assortative mating in mammals." Here I report a logical inconsistency in their population genetic model that effectively imposes selection against some assortatively mating genotype. After pointing out this inconsistency, I derive new expressions for the frequency of different matings and the equilibrium allele frequencies. Compared to Hedrick et al. (2016) (Negative-assortative mating for color in wolves. Evolution, 70, 757–766), the system rapidly approaches an equilibrium based on observed levels of negative-assortative mating in this population. Hence, the revised model may strengthen the case that assortative mating can maintain polymorphism and provides logically consistent results to inform the study of nonrandom mating in other organisms.