Results 71 to 80 of about 60,318 (267)

THE USE OF DIFFERENT METHODS OF TRANSFER PRICING: MATTERS OF CURRENT INTEREST

Финансы: теория и практика, 2017
Improving tax control over the use of transfer pricing mechanisms in order to minimize tax is a major policy priority for every country. The need for regulation in this area is dictated by the ongoing globalization of business as well as the possibility ...
E. S. Samarina
doaj  

The Incidence, Prevalence, and Mortality of Stroke in France, Germany, Italy, Spain, the UK, and the US: A Literature Review

Stroke Research and Treatment, 2012
Background. Although the burden of stroke in terms of mortality and disability has been well documented in previous years, data after 2000 are limited. Therefore, the aim of this paper was to identify the epidemiology of stroke in the US and EU5 nations ...
Younan Zhang, Ann-Marie Chapman, Melanie Plested, Daniel Jackson, Francisco Purroy   +4 more
doaj   +1 more source

A Disaggregation Strategy for Nanopesticide Fabrication: Investigating the Impact of Nanosizing on Pesticide Biointeractions

Advanced Science, EarlyView.
To explore the impact of nanosizing on pesticide biointeractions, a 7‐nm (average) emamectin benzoate nanopesticide without nanocarriers or surfactants is fabricated via HOAc‐mediated disaggregation. Nanosizing enhances bioactivity against Megalurothrips usitatus and Meloidogyne enterolobii and improves plant penetration.
Jiaqi Wei, Jianxin Feng, Huiting Zhu, Kunzhong Lin, Chenhan Liu, Lin Li, Zhuoyan Xiao, Daihao Huang, Rong Liu, Huipeng Pan, Lingda Zeng, Hanhong Xu   +11 more
wiley   +1 more source

Indirect Comparison of Cal/BDP PAD-Cream vs Cal/BDP Foam in Patients with Plaque Psoriasis Meeting the Rule of Tens

Dermatology and Therapy
Introduction Calcipotriol and betamethasone dipropionate (Cal/BDP) PolyAphron dispersion (PAD) cream and Cal/BDP foam have demonstrated superior efficacy to Cal/BDP gel in patients with plaque psoriasis exhibiting a more severe profile defined by the ...
Anna Campanati, Mar Llamas-Velasco, Johannes Wohlrab, Rituparna Banerjee, Anna Carles, Jordi Galván, Seila Lorenzo-Herrero, Jesús Cuervo, Carlos Crespo   +8 more
doaj   +1 more source

Medical expenses and influencing factors in lung cancer patients: a comparative analysis between surgical and non-surgical cases from Xiamen, China

Frontiers in Public Health
ObjectiveTo investigate medical expenses and factors influencing surgical choices among lung cancer patients in a tertiary hospital in Xiamen, China, and to identify key cost differences between surgical and non-surgical approaches.MethodsIn this ...
Linyan Chen, Wenting Luo, Juntong Liu, Minqiang Lin, Zhicheng Zhuang   +4 more
doaj   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

3D‐Mixer‐Assisted High‐Entropy Doping of LiNiO2 for Co‐Free Ni‐Rich Cathodes in Lithium‐Ion Batteries

Advanced Science, EarlyView.
High‐entropy doping of Co‐free Ni‐rich LiNiO2 cathodes is achieved through a scalable 3D mixing process. Multi‐element incorporation stabilizes the layered structure, alleviates Li/Ni disorder and electrode swelling, and enhances cycling stability. This approach underscores the potential of high‐entropy strategies to deliver structurally robust and ...
Seung Ri Kim, Thillai Govindaraja Senthamaraikannan, Jun Jae Myeong, Hyung Do Kim, Dong‐Hee Lim, Eun Mi Kim, Sang Mun Jeong   +6 more
wiley   +1 more source