701 research outputs found
sj-png-1-tct-10.1177_15330338241245943 - Supplemental material for Feasibility Study of Computed Tomographic Radiomics Model for the Prediction of Early and Intermediate Stage Hepatocellular Carcinoma Using BCLC Staging
No full textSupplemental material, sj-png-1-tct-10.1177_15330338241245943 for Feasibility Study of Computed Tomographic Radiomics Model for the Prediction of Early and Intermediate Stage Hepatocellular Carcinoma Using BCLC Staging by Han Dong, Lu Yang, Duan Shaofeng and Guo Lili in Technology in Cancer Research & Treatment</p
Supplemental Material - Effects of Mind-Body Exercises for Osteoporosis in Older Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials
No full textSupplemental Material for Effects of Mind-Body Exercises for Osteoporosis in Older Adults: A Systematic Review and Meta-analysis of Randomized Controlled Trials in Haili Li, Haobo Jiang, Jingye Wang, Jin Zhou, Hao Liang, Guangxue Chen, Zehua Guo, Shaofeng Yang, and Yonghui Zhang in Geriatric Orthopaedic Surgery & Rehabilitation</p
Coresets for Robust Clustering via Black-Box Reductions to Vanilla Case
No full textWe devise ε-coresets for robust (k,z)-Clustering with m outliers through black-box reductions to vanilla clustering. Given an ε-coreset construction for vanilla clustering with size N, we construct coresets of size N⋅ polylog(kmε^{-1}) + O_z(min{kmε^{-1}, m ε^{-2z}log^z(kmε^{-1})}) for various metric spaces, where O_z hides 2^{O(zlog z)} factors. This increases the size of the vanilla coreset by a small multiplicative factor of polylog(kmε^{-1}), and the additive term is up to a (ε^{-1}log (km))^{O(z)} factor to the size of the optimal robust coreset. Plugging in recent vanilla coreset results of [Cohen-Addad, Saulpic and Schwiegelshohn, STOC'21; Cohen-Addad, Draganov, Russo, Saulpic and Schwiegelshohn, SODA'25], we obtain the first coresets for (k,z)-Clustering with m outliers with size near-linear in k while previous results have size at least Ω(k²) [Huang, Jiang, Lou and Wu, ICLR'23; Huang, Li, Lu and Wu, SODA'25].
Technically, we establish two conditions under which a vanilla coreset is as well a robust coreset. The first condition requires the dataset to satisfy special structures - it can be broken into "dense" parts with bounded diameter. We combine this with a new bounded-diameter decomposition that has only O_z(km ε^{-1}) non-dense points to obtain the O_z(km ε^{-1}) additive bound. Another sufficient condition requires the vanilla coreset to possess an extra size-preserving property. To utilize this condition, we further give a black-box reduction that turns a vanilla coreset to the one that satisfies the said size-preserving property, and this leads to the alternative O_z(mε^{-2z}log^{z}(kmε^{-1})) additive size bound.
We also give low-space implementations of our reductions in the dynamic streaming setting. Combined with known streaming constructions for vanilla coresets [Braverman, Frahling, Lang, Sohler and Yang, ICML'17; Hu, Song, Yang and Zhong, arXiv'1802.00459], we obtain the first dynamic streaming algorithms for coresets for k-Median (and k-Means) with m outliers, using space Õ(k + m) ⋅ poly(dε^{-1}log Δ) for inputs on a discrete grid [Δ]^d
Statistically optimal estimation of surface mass anomalies by directly using GRACE level-2 spherical harmonic coefficients as measurements
No full textPoint-mass inversion is widely employed in GRACE level-2 data processing. Conventionally, the spherical harmonic (SH) coefficients are used indirectly: a set of pseudo measurements is generated first using the SH coefficients through SH synthesis; then the point-mass inversion is done with these pseudo measurements. To be statistically optimal, the covariance matrix of pseudo measurements should be calculated and used to appropriately weigh the parameter estimation. In this work, we propose a statistically optimal point-mass inversion scheme by directly using the SH coefficients as measurements. We prove the equivalence between this direct approach and the conventional indirect approaches. We also demonstrated their comparable performance through both simulation and real GRACE data processing. Choosing and calculating pseudo measurements, propagating covariance matrix, and potentially dealing with the singularity of the covariance matrix involved in the conventional indirect approaches are avoided in the proposed direct approach. This statistically optimal direct approach can readily be employed in mascon inversion of GRACE data and other radial basis functions-based approaches in regional gravity modeling.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Physical and Space Geodes
Holocene vegetation history and responses to climate and sea-level change in the Liaohe Delta, northeast China
No full textTo reconstruct the Holocene vegetation history from Liaohe Delta in northeast (NE) China, a high-resolution palynological study on a well-dated sediment core ZK2 was conducted. The pollen record of ZK2 suggests that during the early Holocene, the regional vegetation in the plain was meadow-dominated by Artemisia. And forest with cool-temperate conifers and temperate broad-leaved trees were present in the nearby hills, which is coincident with the gradual climate warming and delta transgression. From mid-Holocene to early late Holocene, meadow vegetation with Artemisia was relatively stable, while the forest vegetation with broadleaved trees reached the maximum expansion in the nearby hills. The large expansion of broadleaved trees indicates warm and humid regional environmental conditions and this is coincidental with the relatively high regional sea-level stand during this period. Since ca. 1470 cal yr BP, with the continuous delta progradation, a large coastal region was colonized by Suaeda spp., which suggests that the formation of unique red beach wetlands along the coastal region of the Liaohe Delta. By analysis of pollen dispersal and transportation mechanism in surface sediments of Liaodong Bay, it is indicated that the percentage changes of arboreal pollen dominated by Pinus and Quercus and the non-arboreal pollen dominated by Amaranthaceae and Artemisia in core ZK2 may as an index refers to the local sea level oscillation and paleoclimate change. Then by comparison with previous multi-proxy records together with the surface sediment record from Liaodong Bay, it is suggested that the Holocene vegetation changes of the Liaohe Delta are mainly driven by the intensity changes of East Asia monsoon and regional sea-level oscillation
The impact of fair value accounting on firms’ performance and pension assets
No full textMy dissertation comprises of two essays: 1) The Effects of Fair Value Measurements (IFRS 13) on Operating Performance and Market Performance, and on Value Relevance of Firms across European Countries; 2) The Disclosure of Fair Value Pension Asset under SFAS No.158, Pension Assumptions, and Earnings Manipulation. Fair value accounting has been gained a spotlight over years. My first essay focuses on Fair Value measurements (IFRS13), which provides a single source for all fair value measurements, and clarifies the definition of fair value and enhance the disclosures. I examine the effect of IFRS 13 fair value on operating performance, the market reaction to the key event of the announcement date of IFRS 13 adoption, and the effect on value relevance in the context of IFRS 13 adoption by a large sample of five countries in European Union: France, Germany, Italy, Spain, and United Kingdom from 2010 to 2014. Evidences from the analyses of the models revealed that the operating performance overally decreased after IFRS 13 adoption in France and Germany but increased in Italy, Spain and United Kingdom based on some ratios to evaluate the operating performance. Firms with higher ROA in pre-IFRS 13 might report more consecutive earnings after IFRS 13 adoption than firms with lower ROA in pre-IFRS 13. Market reaction was tested on the key event of IFRS 13 adoption: the announcement date of IFRS 13. The results of the event study indicate that the cumulative abnormal returns (CAR) are negatively associated with the release date of IFRS 13 adoption, suggesting that European markets’ reaction has been somewhat negative to IFRS 13.The adjustment to earnings per share model suggests mixed evidence of a increase in value relevance. In summary, European market may perceive IFRS 13 as an important in financial reporting or a reduction in the formation asymmetry and these results have implications for investors, auditors, and educators. In September 2006, Statement of Financial Accounting Standard (SFAS) No.158, Employers’ Accounting for Defined Benefit Pension and Other Postretirement Plans, required firms to disclose and recognize the full funded status of defined benefit pension plans in the balance sheet instead of only in the footnote. Comparing with recognition, there are limited researches about the effect of the disclosure of fair value pension assets on the expected rate of return (ERR). Therefore, my second essay examines the association between the disclosure of fair value pension plan assets under SFAS No.158 and ERR. Empirical results support that firms with the Level-3 fair value of pension assets are more like to inflate ERR and are more like to meet ERR through the actual rate of return (ARR) of the Level-3 fair value of pension assets. In addition, I explore the relationship between the disclosure of fair value pension plan assets and earnings target through ERR management. The results document that firms with the Level-3 fair value pension asset more like to achieve earnings target when they marginally fall short of earnings expectations. Such disclosures could improve the efficient use of the information by market participantsPh.D.Includes bibliographical referencesby Shaofeng Zhen
Digital filter technology and its application to geomagnetic pulsations in Antarctica
No full textDigital filter technology is an important method in study of geomagnetic pulsations in Antarctica. The signals received by pulsation magnetometer on the ground include various types of magnetic pulsations. Some types of pulsations or some frequency band of pulsations can be extracted from the signals by means of digital filter technology because types of pulsations are defined according to their frequency range. In this paper usual digital filter technology is provided for study of magnetic pulsations in Antarctica and some examples are introduced
Correlation Between Bone Metabolism Indices and Osteoporotic Thoracolumbar Vertebrae Fracture in Postmenopausal Women
No full textPengrui Jing,* Fanqi Kong,* Bin Meng, Shaofeng Yang Department of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, Suzhou, 215006, People’s Republic of China*These authors contributed equally to this workCorrespondence: Shaofeng Yang; Bin Meng, Department of Orthopaedic Surgery, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Suzhou, Jiangsu, 215006, People’s Republic of China, Email [email protected]; [email protected]: This study aims to explore the correlation between bone metabolism indices and osteoporotic thoracolumbar vertebrae fracture (OTVF) in postmenopausal women.Methods: A total of 447 female patients with postmenopause and underwent OTVF in our hospital were selected as group A. Three hundred eighty-seven out-patients without fractures were selected as group B. Bone metabolism index including the serum levels of total Serum procollagen type N-terminal propeptide (tPINP), the age-related type I cross linked C-telopeptide (β-CTX) and 25-hydroxyvitamin D (25-OHD) were collected and compared. The relation between bone metabolism indices and OTVF was analyzed.Results: The mean tPINP in group A was 61.72 ± 28.43, which was notably higher than group B (P < 0.01). Meanwhile, greater β-CTX were higher founded in group A than group B (0.778 ± 0.316 vs 0.669 ± 0.303 μg/l). However, the 25-OHD in group A was significantly lower than that in group B (P < 0.05). Multivariate logistic regression analysis revealed that the serum level of tPINP (OR: 0.008, P = 0.011), the serum level of β-CTX (OR: 0.805, P = 0.002) and the serum level of 25-OHD (OR: − 0.029, P = 0.003) were independently correlated with postmenopausal OTVF.Conclusion: Bone metabolic markers play an important role in predicting OTVF. As a reflection of bone mass and bone strength, BMD is inadequate in predicting OTVF. High expression of bone metabolism indicators β-CTX, tPINP and relatively low expression of 25-OHD suggest an increased risk of OTVF. Early detection of postmenopausal bone metabolism abnormalities can be used for early intervention to reduce the incidence of OTVF.Keywords: bone metabolism indices, osteoporotic thoracolumbar vertebrae fracture, correlation, risk, postmenopausal wome
The impact of resources on decision making
No full textDecision making is a significant activity within industry and although much attention has been paid to the manner in which goals impact on how decision making is executed, there has been less focus on the impact decision making resources can have. This article describes an experiment that sought to provide greater insight into the impact that resources can have on how decision making is executed. Investigated variables included the experience levels of decision makers and the quality and availability of information resources. The experiment provided insights into the variety of impacts that resources can have upon decision making, manifested through the evolution of the approaches, methods, and processes used within it. The findings illustrated that there could be an impact on the decision-making process but not on the method or approach, the method and process but not the approach, or the approach, method, and process. In addition, resources were observed to have multiple impacts, which can emerge in different timescales. Given these findings, research is suggested into the development of resource-impact models that would describe the relationships existing between the decision-making activity and resources, together with the development of techniques for reasoning using these models. This would enhance the development of systems that could offer improved levels of decision support through managing the impact of resources on decision making
The Histone Chaperone FACT Contributes to DNA Replication-Coupled Nucleosome Assembly
No full textSummaryDNA replication-coupled (RC) nucleosome assembly is mediated by histone chaperones and is fundamental for epigenetic inheritance and maintenance of genomic integrity. The mechanisms that promote this process are only partially understood. Here, we show that the histone chaperone FACT (facilitates chromatin transactions), consisting of Spt16 and Pob3, promotes newly synthesized histone H3-H4 deposition. We describe an allele of Spt16 (spt16-m) that has a defect in binding to H3-H4 and impairs their deposition onto DNA. Consistent with a direct role for FACT in RC nucleosome assembly, spt16-m displays synthetic defects with other histone chaperones associated with this process, CAF-1 and Rtt106. Importantly, we show that FACT physically associates with Rtt106 and that the acetylation of H3K56, a mark on newly synthesized H3, modulates this interaction. Therefore, FACT collaborates with CAF-1 and Rtt106 in RC nucleosome assembly
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