Feida Zhang
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Winning is not enough: Changing landscapes of earnings surprises and the market reaction Open
We document strikingly opposite time‐series patterns of analyst forecast errors (FEs) and associated market reactions, illustrating that analyst forecasts have become a less useful benchmark of the market's earnings expectations in recent …
Optimizing Pretraining Data Mixtures with LLM-Estimated Utility Open
Large Language Models improve with increasing amounts of high-quality training data. However, leveraging larger datasets requires balancing quality, quantity, and diversity across sources. After evaluating nine baseline methods under both …
Improving Rnn Transducer Based Asr With Auxiliary Tasks Open
End-to-end automatic speech recognition (ASR) models with a single neural network have recently demonstrated state-of-the-art results compared to conventional hybrid speech recognizers. Specifically, recurrent neural network transducer (RN…
Data Extraction, Transformation, and Loading Process Automation for Algorithmic Trading Machine Learning Modelling and Performance Optimization Open
A data warehouse efficiently prepares data for effective and fast data analysis and modelling using machine learning algorithms. This paper discusses existing solutions for the Data Extraction, Transformation, and Loading (ETL) process and…
View article: Epstein-Barr Virus–Associated Pulmonary Leiomyoma in a Patient With Untreated Human Immunodeficiency Virus Infection
Epstein-Barr Virus–Associated Pulmonary Leiomyoma in a Patient With Untreated Human Immunodeficiency Virus Infection Open
We report an Epstein-Barr virus–associated smooth muscle tumor in an adult male with AIDS. The patient had multiple lung nodules seen on computed tomography of the chest and an endobronchial lung tumor identified on bronchoscopy. Initiatio…
Does share pledging affect corporate philanthropy? Evidence from China Open
We investigate the effect of insiders’ share pledging (SP) on corporate philanthropy and find that SP firms engage in corporate philanthropy more often than non‐SP firms. This effect is more pronounced for firms with higher downward price …
Pushing the performances of ASR models on English and Spanish accents Open
Speech to text models tend to be trained and evaluated against a single target accent. This is especially true for English for which native speakers from the United States became the main benchmark. In this work, we are going to show how t…
In Silico Protein Folding Prediction of COVID-19 Mutations and Variants Open
With its fast-paced mutagenesis, the SARS-CoV-2 Omicron variant has threatened many societies worldwide. Strategies for predicting mutagenesis such as the computational prediction of SARS-CoV-2 structural diversity and its interaction with…
CEO facial trustworthiness and corporate governance Open
Purpose In this paper the authors aim to argue that the existence of a strong corporate governance mechanism (a formal credibility-enhancing mechanism) and the presence of a more trustworthy-looking CEO (an informal credibility-enhancing m…
Corporate environmental information disclosure and bank financing: Moderating effect of formal and informal institutions Open
This paper investigates the effect of the quality of environmental information disclosure of firms on their bank financing and further examines the moderating effect of formal and informal institutions on this effect using China as a labor…
Blockade of 20-hydroxyeicosatetraenoic acid receptor lowers blood pressure and alters vascular function in mice with smooth muscle-specific overexpression of CYP4A12-20-HETE synthase Open
Objective: 20-Hydroxyeicosatetraenoic acid (20-HETE) is a vasoactive eicosanoid exhibiting effects on vascular smooth muscle cell (VSMC) via G-protein coupled receptor 75 (GPR75) and include stimulation of contractility, migration, and gro…
View article: Scaling ASR Improves Zero and Few Shot Learning
Scaling ASR Improves Zero and Few Shot Learning Open
With 4.5 million hours of English speech from 10 different sources across 120 countries and models of up to 10 billion parameters, we explore the frontiers of scale for automatic speech recognition. We propose data selection techniques to …
Do Female Directors Enhance R&D Performance? Open
This study examines whether and how female directors enhance innovation performance. Based on a sample of U.S. firms, this study shows that firms with more female directors on boards present a more pronounced positive association between R…
Improving RNN Transducer Based ASR with Auxiliary Tasks Open
End-to-end automatic speech recognition (ASR) models with a single neural network have recently demonstrated state-of-the-art results compared to conventional hybrid speech recognizers. Specifically, recurrent neural network transducer (RN…
651. Multi-Center Evaluation of the BioFire® FilmArray® Blood Culture Identification 2 Panel for the Detection of Microorganisms and Resistance Markers in Positive Blood Cultures Open
Background The BioFire® FilmArray® Blood Culture Identification 2 (BCID2) Panel is a diagnostic test that provides results for 26 bacterial, 7 fungal pathogens and 10 antimicrobial resistance (AMR) genes from positive blood culture (PBC) s…
CYP4A/20-HETE regulates ischemia-induced neovascularization via its actions on endothelial progenitor and preexisting endothelial cells Open
20-Hydroxyeicosatetraenoic acid (20-HETE) was recently identified as a novel contributor of ischemia-induced neovascularization based on the key observation that pharmacological interferences of CYP4A/20-HETE decrease ischemic neovasculari…
Value relevance of proportionate consolidation versus the equity method: Evidence from Hong Kong Open
Whether proportionate consolidation (PC) or the equity method (EM) provides more informative financial statements is a controversial issue. This study uses data from listed companies in Hong Kong to investigate the value relevance of the E…
CEO Retirement, Corporate Governance and Conditional Accounting Conservatism Open
Based on 16,604 observations between 1994 and 2006, this study revisits the ‘horizon problem’ by examining how CEO retirement affects conditional accounting conservatism. We hypothesize and find that firms become less conservative in their…