Results 91 to 100 of about 15,073 (261)
ABSTRACT To promote the development of renewable energy, China re‐implemented the Chinese Certified Emission Reduction (CCER) policy in 2023. This study explores certificated CO2 and air pollutants (i.e., NOx, SO2 and particulate matter (PM)) emissions reductions from China's solar thermal power (STP) industry at national scale and conducts the ...
Yun Li +3 more
wiley +1 more source
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi +8 more
wiley +1 more source
Impact of transport costs on Vietnam’s textile exports
Transport cost is a critical component that structure price of goods at destination points in international trade. This research explored and analyzed transport cost and its impact on export by gravity model.
Thi Thu Huong Trinh +2 more
doaj
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source
When Rare Is Not Small: Amyotrophic Lateral Sclerosis Initiatives and Therapy
In the precision‐medicine era, rare diseases must not be sidelined in translational infrastructure. The Mr. Cai Lei—led “Ice‐Breaking Team” turns an amyotrophic lateral sclerosis patient community into a sustainable ecosystem, realigning philanthropy, data, and research and development to reshape rare‐disease pipelines and guide precision therapies ...
Yang Liu +6 more
wiley +1 more source
The Role of Price‐Volatility Cojumps in Volatility Forecasting
ABSTRACT This paper investigates whether simultaneous jumps in prices and volatility improve volatility forecasting. Using up‐to‐date high‐frequency S&P 500 and VIX data, we identify price‐volatility cojumps at the intraday granularity and construct upside, downside, and asymmetric measures.
Kefu Liao
wiley +1 more source
Factors Affecting the Appropriate Angiography Prescription in Iranian Hospitals
Graphical Abstract Factors influencing appropriate angiography prescriptions. ABSTRACT Background Inappropriate angiography prescriptions impose substantial financial and clinical burdens on healthcare systems. This study aimed to develop a comprehensive model for appropriate angiography prescription by examining supply‐and demand‐side factors in ...
Atieh Sadat Bigdeli +3 more
wiley +1 more source
DEVELOPMENT OF ROAD FREIGHT TARIFF
The paper deals with the issue of tariff-making of national road freight transport in the SR. It describes the possibility of using the indicative rates up of association ČESMAD Slovakia through its conversion The contribution shows the possibility to
Miloš Poliak
doaj
Paying for Health Gains Using Patient Reported Outcome Measures
ABSTRACT Payments to healthcare providers are often based on the number of patients with a particular diagnosis or treatment with well known limitations. Payment based on health outcomes, a form of pay‐for‐performance, has long been advocated as a possible solution.
Luigi Siciliani +4 more
wiley +1 more source

