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Corporate Finance
This book comprises 19 papers published in the Special Issue entitled “Corporate Finance”, focused on capital structure (Kedzior et al., 2020; Ntoung et al., 2020; Vintilă et al., 2019), dividend policy (Dragotă and Delcea, 2019; Pinto and Rastogi, 2019) and open-market share repurchase announcements (Ding et al., 2020), risk management (Chen et al., 2020; Nguyen Thanh, 2019; Štefko et al., 2020), financial reporting (Fossung et al., 2020), corporate brand and innovation (Barros et al., 2020; Błach et al., 2020), and corporate governance (Aluchna and Kuszewski, 2020; Dragotă et al.,2020; Gruszczyński, 2020; Kjærland et al., 2020; Koji et al., 2020; Lukason and Camacho-Miñano, 2020; Rashid Khan et al., 2020). It covers a broad range of companies worldwide (Cameroon, China, Estonia, India, Japan, Norway, Poland, Romania, Slovakia, Spain, United States, Vietnam), as well as various industries (heat supply, high-tech, manufacturing).
Chinese Literature for the 1980s
Editor Howard Goldblatt explains that while most societies analyse and revere their literary trends in retrospect, post-Liberation China’s literary trends tend to be announced beforehand allowing for critics to judge how close or far from the prescribed norms a piece of art is. In this volume, a collection of speeches and reports from the Fourth Congress of Writers and Artists, well-known Chinese writers (novels, poets, and dramatists alike) debate the future direction of Chinese literature for the 1980s. Originally published in 1982, the book lends a contemporary view into the state of art and literature in China during a critical era of transformation. This title is suitable for students of Literature and East Asian Studies.
Carbon Neutrality, Social Media, Artificial Intelligence, volume II
Carbon neutrality refers to net-zero carbon emissions. It can be achieved by reducing carbon emissions or increasing carbon adsorption. The popularity of social media including Twitter, YouTube, and LinkedIn provides good channels for sharing relevant information and promoting sustainable carbon-neutral living styles. For example, a motor company has launched social media challenges with Korean pop stars to raise awareness of carbon neutrality. Social media provides real-time information. In Jakarta, flood-related tweet intensity during a flood peaked at about 900 tweets a minute during the floods of 2015. The tweets created real-time maps that people sent a minute before. Regarding governme...
Embracing the Lie
This volume is the first serious attempt to reconstruct Ding Ling's biography during the last few decades of her life. Most Westerners know her as a progressive woman writer who became famous during the May 4 Movement, championed its values in Yan'an and was criticized in the rectification campaigns that followed. Few know about her life afterward and the arduous process of rehabilitation. Here for the first time readers will learn about her life in the Great Northern Wasteland, solitary confinement in Qincheng prison, her visit to the United States, participation in the spiritual pollution campaign, and finally, the attempt to launch the journal China. All of this puts a new perspective on ...
Daily Report
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Emerging Trends in IoT and Computing Technologies
This book includes the proceedings of the International Conference on Emerging Trends in IoT and Computing Technologies (ICEICT-2022) held at Goel Institute of Technology & Management, Lucknow, India.
Daily Report
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Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
The book aims to highlight the potential of deep learning (DL)-enabled methods in intelligent fault diagnosis (IFD), along with their benefits and contributions. The authors first introduce basic applications of DL-enabled IFD, including auto-encoders, deep belief networks, and convolutional neural networks. Advanced topics of DL-enabled IFD are also explored, such as data augmentation, multi-sensor fusion, unsupervised deep transfer learning, neural architecture search, self-supervised learning, and reinforcement learning. Aiming to revolutionize the nature of IFD, Deep Neural Networks-Enabled Intelligent Fault Diangosis of Mechanical Systems contributes to improved efficiency, safety, and reliability of mechanical systems in various industrial domains. The book will appeal to academic researchers, practitioners, and students in the fields of intelligent fault diagnosis, prognostics and health management, and deep learning.
