Anatomical Breast Imaging Derived Parameters Do Not Provide Incremental Information In Prediction of Nonvisualization of Sentinel Lymph Nodes On Lymphoscintigraphy

Background: Accurate sentinel lymph node (SLN) staging is essential for both prognosis and treatment in patients with breast cancer. However, the preoperative lymphoscintigraphy may fail to visualize the SLN. The aim of this retrospective study was to investigate whether parameters derived from anatomical breast imaging can predict SLN nonvisualization on lymphoscintigraphy. For this single-center retrospective study all data of mammography, breast magnetic resonance imaging (MRI), and lymphoscintigraphy of SLN procedures from January 2016 to April 2021 were collected and reviewed from the Amsterdam UMC electronic health records database.Results: A total of 758 breast cancer patients were included in this study. The SLN nonvisualization rate was 29.7% on lymphoscintigraphy. Multivariable analysis showed that age ≥ 70 years (P = 0.019; OR: 1.82; 95% CI: 1.10–3.01), BMI ≥ 30 kg/m2 (P = 0.031; OR: 1.59; 95% CI: 1.04–2.43), and nonpalpable tumors (P = 0.034; OR: 1.54; 95% CI: 1.03–2.04) were independent predictors of SLN nonvisualization. Differences in tumor size, Breast Imaging-Reporting and Data System (BI-RADS) classification, or breast density were not significantly associated with SLN nonvisualization.Conclusions: This study shows that, by using a multivariable analysis, risk factors for SLN nonvisualization in breast cancer patients during preoperative lymphoscintigraphy are age ≥70 years, BMI ≥30 kg/m2, and nonpalpable tumors. Parameters derived from mammography or breast MRI, however, are not useful to predict SLN nonvisualization on lymphoscintigraphy.

Comparing the informativeness of sustainability disclosures versus ESG disclosure ratings

Purpose The purpose of this paper is to examine the impact of sustainability disclosures and disclosure ratings on firm value. This paper compares the informativeness of sustainability disclosures in company reports versus environmental, social and governance (ESG) disclosure ratings. The authors examine the extent to which they provide incremental information. Design/methodology/approach The sample consists of panel data from over 2,600 publicly-listed non-financial US companies for the period 2014–2018. The authors obtain sustainability disclosures from Sustainability Accounting Standards Board (SASB) Navigator and ESG disclosure scores from Bloomberg. The authors regress market value and/or stock price on sustainability disclosures and ESG scores to evaluate information content. Findings ESG scores are positively associated with market value and price. Sustainability disclosures in the form of metrics and company-tailored narratives provide incremental information content on market value and/or price. Boilerplate disclosures reduce market value and price. Sustainability disclosures and ESG scores provide incremental information, suggesting that it would be beneficial to harmonize standards for reporting sustainability disclosures. Research limitations/implications The limitation is that the authors have only considered sustainability disclosures for a sample of US companies from two sources – SASB Navigator and Bloomberg. Practical implications The paper provides some evidence that may be pertinent to the debate on whether to harmonize the guidance on reporting sustainability issues. Social implications The paper provides evidence on the benefits to firms for reporting sustainability issues. Originality/value This paper is among the first to analyze company sustainability disclosures obtained from two different sources – SASB Navigator and ESG disclosure ratings – and compare them for relevance for company valuation. With SASB Navigator, the authors obtain further refinement into the nature of the information provided in the sustainability disclosures, that is, boilerplate, company-tailored or metrics disclosures.

Multi-Label Feature Selection Combining Three Types of Conditional Relevance

With the rapid growth of the Internet, the curse of dimensionality caused by massive multi-label data has attracted extensive attention. Feature selection plays an indispensable role in dimensionality reduction processing. Many researchers have focused on this subject based on information theory. Here, to evaluate feature relevance, a novel feature relevance term (FR) that employs three incremental information terms to comprehensively consider three key aspects (candidate features, selected features, and label correlations) is designed. A thorough examination of the three key aspects of FR outlined above is more favorable to capturing the optimal features. Moreover, we employ label-related feature redundancy as the label-related feature redundancy term (LR) to reduce unnecessary redundancy. Therefore, a designed multi-label feature selection method that integrates FR with LR is proposed, namely, Feature Selection combining three types of Conditional Relevance (TCRFS). Numerous experiments indicate that TCRFS outperforms the other 6 state-of-the-art multi-label approaches on 13 multi-label benchmark data sets from 4 domains.

Disclosure of interim review reports: Do interim going concern conclusions have information content?

This paper examines the information content of interim review assurance in the Australian mandatory disclosure setting. First, we find a strong negative market reaction to interim going concern conclusions (IGCC) contained in the review of interim financial statements. Second, we find no significant difference between the market reaction to IGCCs and annual going concern opinions (AGCO) received at the annual report audit. Finally, we show IGCCs are significant predictors of subsequent AGCOs, and provide incremental information from the previous annual report audit opinion. Overall, these results contribute to the literature on the benefits of mandatory interim assurance by showing that going concern conclusions contained in interim financial statements provide investors with new and relevant information.

Real-time stereo semi-global matching for video processing using previous incremental information

This paper presents an incremental stereo algorithm designed to calculate a real-time disparity image. The algorithm is designed for stereo video sequences and uses previous information to reduce computation time and improve disparity image quality. It is based on the semi-global matching stereo algorithm but modified to reuse previous calculation information. Storing and reusing this information not only reduces computation time but improves accuracy in a cost filtering scheme. Some tests are presented to compare the computation time and results of the algorithm, which show that it can achieve better results in terms of quality and time than standard algorithms for some scenarios.

A Novel Measure of Political Risk and Foreign Direct Investment Inflows

This paper proposes a novel measure of political risk that confirms some of the findings documented in the Foreign Direct Investments (FDI) literature. Particularly, we confirm the positive relationship between political stability and its components on FDI inflows, and the moderating effect of natural resources on this relationship. The proposed political risk measure contains relevant, unique and incremental information not observed in the literature. For example, although this measure is highly correlated with the political risk rating of the International Country Risk Guide (ICRG), it contains unique information that explains FDI inflows beyond what is explained by the ICRG rating. A link to the database for our political risk rating for 150 countries covering 2000 to 2015 has been provided.

New insights from the MESA study: increased high-sensitivity troponins as a cardiovascular risk factor

The most recent high-sensitivity assays for troponins I and T (hs-TnI and hs-TnT) have made it possible to detect blood concentrations up to 10 times lower than previous assays, making troponins detectable even in asymptomatic subjects without manifest cardiovascular disease. For this reason, hs-Tn, initially introduced as markers of myocardial damage in an acute setting, have also become possible markers of subclinical myocardial damage in baseline conditions. In fact, recent evidence suggests that hs-TnT and hs-TnI predict the risk of future cardiovascular events also in the context of primary prevention, and offer incremental information when added to current risk stratification models. The different association highlighted with different outcome measures, such as coronary heart disease, atherosclerotic cardiovascular disease, heart failure, and death from all causes, seems to indicate that the risk observed in asymptomatic subjects with high levels of hs-Tn is an expression of subclinical damage secondary to multiple pathophysiological mechanisms, and not only to atherothrombosis. However, the ability of hs-TnT and hs-TnI (until now used interchangeably), to provide differential predictive information, and not redundant with respect to more traditional factors, remains to be definitively clarified, both for the purpose of predicting specific outcomes and for the implementation of specific preventive strategies. To date, evidences available allow us to hypothesize their role more as markers than as risk factors.

nà-Cleft (non-)exhaustivity: Variability in Akan

This paper presents two experimental studies on the exhaustive inference associated with focus-background nà-clefts in Akan (among others, Boadi 1974; Duah 2015; Grubic, Renans & Duah 2019; Titov 2019), with a direct comparison to two recent experiments on German es-clefts employing an identical design (De Veaugh-Geiss et al. 2018). Despite the unforeseen response patterns in Akan in the incremental information-retrieval paradigm used, a post-hoc exploratory analysis reveals striking parallels between the two languages. The results are compatible with a unified approach both (i) cross-linguistically between Akan and German; and (ii) cross-sententially between nà-clefts (α nà P, ’It is α who did P’) and definite pseudoclefts, i.e., definite descriptions with identity statements (Nipa no a P ne α , ’The person who did P is α ’) (Boadi 1974; Ofori 2011). Participant variability in (non-)exhaustive interpretations is accounted for with a discourse-pragmatic analysis of cleft exhaustivity (Pollard & Yasavul 2016; De Veaugh-Geiss et al. 2018; Destruel & De Veaugh-Geiss 2018).

Critical audit matters and stock price crash risk

Using manually collected data on the number and category of critical audit matters (CAMs) in the period 2016–2017, we investigate the hitherto unexplored questions of whether CAMs affect firm-specific crash risk, how CAMs influence crash risk in the Chinese capital market, and recognize CAMs that contain incremental information. Our findings are as follows: (1) Crash risk decreases after implementing the new audit standard requiring the disclosure of CAMs; (2) CAMs release negative information and change the capital market information environment; (3) only corporate-idiosyncratic CAMs contain incremental information; (4) crash risk is mitigated only by CAMs disclosed by companies with a high shareholding of institutional investors. The main conclusion of our study is a positive assessment of the new audit standard and of CAMs in terms of protecting the interests of investors and strengthening the stability of the capital market to provide a new perspective for supervising the implementation of the new audit standard.

A Tone Analysis of the Non-Financial Disclosure in the Automotive Industry

This study’s purpose is twofold. On the one hand, it analyzes the relationship between the profitability of firms and the tone of nonfinancial disclosures; on the other hand, it tests the relationship between the environmental, social, and governing (ESG) performance of firms and the tone of nonfinancial disclosures on the automotive sector under two different and competing approaches, which are incremental information and impression management. The sample is composed of 68 nonfinancial reports issued by 17 automotive organizations between the years 2016 and 2020. Data analysis proceeded in two stages. First, a content analysis was performed to assess the linguistic attributes of the nonfinancial disclosure. Second, an inferential regression analysis was performed to test the hypothesized associations between firms’ performance and tone of their disclosures. The results of this study are aimed at providing evidence of the determinants of the verbal tone in the corporate nonfinancial reporting in a specific industry.