Results 131 to 140 of about 114,884 (315)
In Malaysia, Financial Times Stock Exchange (FTSE) of Bursa Malaysia Kuala Lumpur Composite Index (FBMKLCI) provides charts, companies’ profile and other market data to help the local and foreign investors to make decisions involving their investments ...
Teoh Yeong Kin +2 more
doaj
The consumption of electrical energy continues to experience fluctuations every month, and these fluctuations cannot be accurately predicted. This uncertainty can become a problem if not projected and planned effectively.
Nirwanto Nirwanto +2 more
doaj +1 more source
Explainable spatial machine learning for hedonic real estate modeling
Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger +5 more
wiley +1 more source
Implementation of the CNN-LSTM Hybrid Model in Predicting Bitcoin Price Fluctuations
Digital financial systems of today face formidable obstacles from the extreme price volatility and unpredictability of Bitcoin. Data cleaning, Min-Max normalization, and sequence creation with a sliding window were performed on the daily BTC-USD ...
Candra Wibowo +2 more
doaj +1 more source
How Can Female Directors' Influence on Responsible Production Become More Consequential?
ABSTRACT Sustainable Development Goal (SDG) 12, despite having the greatest linkage to other goals, remains underexplored. We examine the impact of female directors on SDG 12 (responsible production) by addressing two debates: whether their presence reflects genuine board diversity and whether they serve merely as token leaders.
Muhammad Taufik, Fiona Vinelia
wiley +1 more source
The use of electrical energy is expected to always increase every year. This is due to the increasing needs of the community that must be met. Electricity has become the foundation for welfare and economic progress as well as a growth engine both ...
Virza Gavinda +2 more
doaj +1 more source
Artificial intelligence streamlines scientific discovery of drug–target interactions
Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
wiley +1 more source
Extreme weather changes and the El Nino phenomenon in 2023 will cause drought, resulting in a decrease in rice production and an increase in rice prices.
Adnan Syawal Adilaha Sadikin +3 more
doaj +1 more source
ABSTRACT Climate change introduces new challenges for businesses which require them to find ways to be resilient. Green innovations contribute to boost Environmental, Social, and Governance (ESG)‐readiness leading to just transition without optimization.
Noman Arshed +4 more
wiley +1 more source
Mycobacterium tuberculosis is the causative agent of the infectious illness tuberculosis (TB). Indonesia is the world's third-highest TB burden country. TB transmission is prevented by the BCG vaccination.
Purnami Widyaningsih +2 more
doaj +1 more source

