11,469 research outputs found

    Ming tai xue jing ji zhi.

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    Guo Pan [Guo Pan] suo zuan Hong Ming tai xue zhi [juan 2 dian zhi xia jing ji men]Caption title.On double leaves; Oriental style, in case.Mode of access: Internet

    Complete mitochondrial genome of Eupelops contaminatus Choi, 1986 (Acari: Oribatida: Phenopelopidae) from Changbai Mountain in China: characterization and its phylogenetic implications

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    In this study, we report the complete mitogenome of Eupelops contaminatus Choi, 1986 (Acari, Oribatida, Phenopelopidae) for the first time. The 14,118 bp mitogenome contains 13 protein- coding genes (PCGs), 22 transfer RNA genes, 2 ribosomal RNA genes, and a non-coding region (AT-rich region). Evolutionary analysis of all PCGs based on the non-synonymous/synonymous substitution rate ratio (ω) indicated that cox1 and atp8 exhibited the lowest and highest evolutionary rates, respectively. Phylogenetic analysis based on the 13 PCGs of mitogenomes indicated that E. contaminatus is sister to Eupelops sp. (LC817331), while they differ in gene arrangement. This study offers insights into the mitogenomic basis of Eupelops species and provides an important data resource for exploring the taxonomy, phylogeny, and evolution of oribatid mites

    The Role of AI in Performance Appraisal: A Mixed‐Method Study of Employee Experience Through a Relational Lens

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    ABSTRACT As artificial intelligence (AI) becomes more common in human resource management (HRM), especially in performance appraisals, questions arise about how employees respond to AI involvement in these processes. While existing research often treats AI as a technical tool, this study also views AI as a social actor that interacts with employees. Using sociomateriality and attribution theory, we examine how AI's characteristics and its role in appraisal procedures influence employee satisfaction with performance appraisals. Across three scenario‐based experiments with 1002 participants and one survey with 321 respondents, we find that certain characteristics of the AI rater and the decision‐making power distribution in AI appraisal procedures have a significant impact on employees' performance appraisal satisfaction. These results highlight the importance of considering the technical and social dimensions of AI in HRM practices. Our findings offer practical guidance for organizations implementing AI in performance appraisals and contribute to a deeper understanding of AI's impact on the employee experience

    Neoribates (Neoribates) subiasi sp. nov. (Acari, Oribatida, Parakalummidae) from Changbai Mountain, China

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    A new species of oribatid mites of the subgenus Neoribates (Neoribates) (Oribatida, Parakalummidae) is described from the litter of Changbai Mountain in northeastern China. Neoribates (Neoribates) subiasi sp. nov. differs from its congeners by the combination of the morphological traits, e.g. smooth body surface, short bothridial setae with oval-shaped head, rostrum narrowly rounded in dorsal view, 11 pairs of notogastral setae, five pairs of genital setae, and setae ad3 inserted laterally and distanced from anal aperture. A key to all known species of Neoribates in China is provided.

    Effective Resistances in Non-Expander Graphs

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    Effective resistances are ubiquitous in graph algorithms and network analysis. For an undirected graph G, its effective resistance R_G(s,t) between two vertices s and t is defined as the equivalent resistance between s and t if G is thought of as an electrical network with unit resistance on each edge. If we use L_G to denote the Laplacian matrix of G and L_G^† to denote its pseudo-inverse, we have R_G(s,t) = (_s-_t)^⊤ L^† (_s-_t) such that classical Laplacian solvers [Daniel A. Spielman and Shang{-}Hua Teng, 2014] provide almost-linear time algorithms to approximate R_G(s,t). In this work, we study sublinear time algorithms to approximate the effective resistance of an adjacent pair s and t. We consider the classical adjacency list model [Ron, 2019] for local algorithms. While recent works [Andoni et al., 2018; Peng et al., 2021; Li and Sachdeva, 2023] have provided sublinear time algorithms for expander graphs, we prove several lower bounds for general graphs of n vertices and m edges: 1) It needs Ω(n) queries to obtain 1.01-approximations of the effective resistance of an adjacent pair s and t, even for graphs of degree at most 3 except s and t. 2) For graphs of degree at most d and any parameter , it needs Ω(m/) queries to obtain c ⋅ min{d,}-approximations where c > 0 is a universal constant. Moreover, we supplement the first lower bound by providing a sublinear time (1+ε)-approximation algorithm for graphs of degree 2 except the pair s and t. One of our technical ingredients is to bound the expansion of a graph in terms of the smallest non-trivial eigenvalue of its Laplacian matrix after removing edges. We discover a new lower bound on the eigenvalues of perturbed graphs (resp. perturbed matrices) by incorporating the effective resistance of the removed edge (resp. the leverage scores of the removed rows), which may be of independent interest

    Experimental Study on Tension Mechanisms of UHPC Link Slab

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    The ultra-high performance concrete (UHPC) link slab has been proposed to provide a suitable solution to the cracking problem of conventional reinforced concrete (RC) link slab. This paper presents an experimental study on the tension mechanisms of UHPC link slab under monotonic tension loads. The experimental results of load-displacement curves, crack development and strains of UHPC link slab were investigated and compared with those of RC link slab. It can be found that in the elastic phase, the tension stiffness and ultimate loads of the UHPC link slab were respectively 2.6 and 2.4 times those of the RC link slab. Compared with the RC link slab, the number of cracks on the top surface of the UHPC link slab was larger, but the average crack width was significantly smaller. The concrete and reinforcement strains of UHPC link slab were smaller than those of RC link slab

    Collider Bias Correction for Multiple Covariates in GWAS Using Robust Multivariable Mendelian Randomization

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    <p>This repository contains the data underlying the figures in paper "Collider Bias Correction for Multiple Covariates in GWAS<br>Using Robust Multivariable Mendelian Randomization".</p> <p> </p> <p> </p> <p>The file names and sheet names in the xlsx file indicate the corresponding figures of data. </p> <p><br>The underlying data of manhattan plots and QQ plots are in text file. For other figures, the underlying data are in the spreadsheet.</p> <p>In each file, column names indicate the MVMR method used to obtain the result. </p> <p>For example: </p> <p>In text files:</p> <p>The abbreviation "mPC" refers to metabolomic principle components.</p> <p>beta_no_correction: the SNP effect estimate without bias correction.</p> <p>beta_cml or beta_MVMR_cml: the standard error of SNP effect estimate after the bias correction of MVMR-cML.</p> <p>SE_UVMR_cml: the standard error of SNP effect estimate after the bias correction of UVMR-cML.</p> <p>p_value_Egger or p_value_MVMR_Egger: the p-value of SNP effect estimate after the bias correction of MVMR-Egger regression.</p> <p><br>In the spreadsheet, column names follow the same style. </p> <p>The GWAS data is also available. The column names follows the plink output file. The detailed explanations are available at https://www.cog-genomics.org/plink/2.0/formats#glm_linear</p&gt

    Biogeography of oribatid mites (Acari) reflects their ancient origin and points to Southeast Asia as centre of radiation

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    Abstract Aim Understanding the worldwide distribution of species has fascinated scientists at least since Alfred Russel Wallace. Global patterns of belowground biodiversity may fundamentally differ from those of aboveground organisms. Here, we examine the global pattern and potential mechanisms driving the endemism and overlap of a soil microarthropod taxon. Location Global. Taxon Oribatida, Acari. Methods We investigated the global distribution of oribatid mites in five biogeographic regions including North America, South America, Eurasia, Africa and Oceania using a world list on the distribution of ~11,400 described species (including subspecies) at species, genera and family levels. Results and Main Conclusion We found that most “endemic” (i.e., only occurring in one of the regions) species (4297) and also genera (143) occurred in Eurasia indicating that this region was the centre of radiation of oribatid mites. Within Eurasia, oribatid mite diversity was highest in Southeast Asia (1975 species) likely reflecting the long tropical history of this region (at least 200 million years), and also high fluctuations in water levels and island formation on the Sunda Shield. On a family level, oribatid mite diversity did not differ between biogeographic regions indicating that oribatid mites are much older than the tropics and older than the existence of Pangaea supporting the view of their origin in the early Palaeozoic. Finally, among the 55 species that occurred in all biogeographic regions nearly 50% reproduce by thelytoky and colonize high latitude ecosystems, indicating that compared to sexual species a disproportionally high number of parthenogenetic species is distributed worldwide suggesting that they possess a general‐purpose genotype. The other ~50% sexuals predominantly occur in tropical/subtropical regions across biogeographic regions supporting the view that resource shortage in tropical regions favours sex. Our findings highlight the importance of biogeographical studies of soil animals to better understand their diversity, distribution and life history strategies

    Variations in body size and reproductive mode of oribatid mites along an altitudinal gradient in a temperate mountain region

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    http://dx.doi.org/10.13039/501100012582 Northeast Institute of Geography and Agroecology Chinese Academy of Scienceshttp://dx.doi.org/10.13039/501100001809 National Natural Science Foundation of Chin
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