Results 61 to 70 of about 202,640 (359)

Common institutional ownership and M&A insider trading: Governance or collusion?

Borsa Istanbul Review
Merger and acquisition (M&A) transactions are highly information sensitive, frequently making them insider trading targets, which undermines market fairness and stability.
Fangfang Zhou, Yu Cheng
doaj   +1 more source

Integrating nutrition and obesity prevention considerations into institutional investment decisions regarding food companies: Australian investment sector perspectives

Globalization and Health, 2022
Background: There is growing recognition that current food systems are both unhealthy and unsustainable, and are increasingly shifting toward the supply and marketing of unhealthy, ultra-processed foods and beverages.
Ella Robinson, Christine Parker, Rachel Carey, Anita Foerster, Miranda R Blake, Gary Sacks   +5 more
doaj   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

Creating Cell‐Based Hybrid Noodles for Sustainable and Nutrient‐Balanced Diets via a Serum‐Free and Animal‐Free 3D Co‐Differentiation System

Advanced Science, EarlyView.
This study develops a 3D co‐culture and co‐differentiation system for porcine muscle stem cells (pMuSCs) and mesenchymal stem cells (pMSCs) on edible starch‐based scaffolds. The system simultaneously generates myotubes and adipocytes without using serum or chemical inducers.
Xin Guan, Luyi Wang, Wanqiang Sun, Yiwei Feng, Dandan Wang, Haohao Tang, Zhenwu Ma, Guocheng Du, Jian Chen, Jingwen Zhou   +9 more
wiley   +1 more source

Optimal liquidation using extended trading close for multiple trading days

Financial Innovation
The extended trading close (ETC) provides institutional investors an opportunity to trade at the closing price after the regular trading session (RTS) and disclosing the order imbalances to other market participants.
Jianchang Zhu, Leilei Zhang, Xuchu Sun
doaj   +1 more source

The relationship between the intrinsic value of the stock and the institutional investor behavior applied on the listed firms in Kuwait stock market [PDF]

, 2023
جراح جمال علي صبحان
openalex   +1 more source

How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Advanced Science, EarlyView.
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen, Xiaoni Gao, Shuai Lu, Yi Zhang, Xing Zheng, Matthaios Santamouris   +5 more
wiley   +1 more source

AUDITOR CHOICE AND INTITUTIONNEL INVESTOR CHARACTERISTICS AFTER THE ENRON SCANDAL IN THE FRENCH CONTEXT [PDF]

This study examines the association between the quality of audit and the characteristics of institutional investors, using French data. After the Enron scandal, the perception of the Big 4 by French institutional investors changed.
Hubert Tondeur, Jamel Azibi, Mohamed Tahar Rajhi   +2 more
core  

Predicting Discounts of Secondary Market Sovereign Debts [PDF]

This paper assesses the Institutional Investor Country Risk Rating (IICR) to analyze whether secondary market prices are reliable indicators of debt values.
Palac-McMiken, Evanor D.
core   +2 more sources

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source