Results 131 to 140 of about 208,285 (312)

Aerobic power and lean mass are indicators of competitive sprint performance among elite female cross-country skiers

, 2016
The purpose of this study was to establish the optimal allometric models to predict International Ski Federation’s ski-ranking points for sprint competitions (FISsprint) among elite female cross-country skiers based on maximal oxygen uptake (V̇O2max) and
Carlsson, Tomas, Carlsson, Tomas,, Tonkonogi, Michail,, Tonkonogi, Michail, Carlsson M, Carlsson, Magnus,, Carlsson T, Tonkonogi M, Carlsson, Magnus   +8 more
core   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Measuring Market Power in the UK Retail Salmon Industry

This paper presents an investigation into the market structure for three product types of salmon (smoked, fresh and whole salmon) in the UK retail market.
Fofana, Abdulai, Jaffry, Shabbar
core  

Competitive balance in complex professional sports leagues [PDF]

, 2008
Competitive balance is seen as crucial to the viability of professional sports leagues, and it has been a central concern of sports economists, industry practitioners and fans. But the concept is complex and ill-defined. The theoretical approach in this
Kringstad, Morten
core  

Trading mechanism for solar and wind power in the competitive electricity market in Vietnam

Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh - Khoa học Xã hội
Developing renewable energy to respond to climate change and ensure energy security has become an urgent requirement on a global scale, with the most important role belonging to governments.
Nguyễn Thị Minh Trang, Nguyễn Hoàng Long, Lê Thị Thanh Tâm   +2 more
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

FTLNet: federated deep learning model for multi-horizon wind power forecasting

Discover Internet of Things
In the competitive market of wind power forecasting, ensuring data security while enhancing forecasting accuracy is crucial. Federated learning emerges as a key solution to these challenges, offering a way to preserve data privacy and security across ...
Majad Mansoor, Gong Tao, Adeel Feroz Mirza, Balal Yousaf, Muhammad Irfan, Wei Chen   +5 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Assessing Oligopoly and Oligopsony Power in the U.S. Catfish Industry

This paper addresses the issue of competition in the U.S. catfish industry. To this end, a conjectural variation oligopolistic model was developed. The model was estimated econometrically using the Generalized Method of Moments (GMM) procedure.
Bouras, David, Engle, Carole R.
core  

Notes on Schumpeterian Competitive Power

, 2001
There is a saying that 'look before you leap'. Though many economists look to be acquainted with the commonly accepted vision ofSchumpeter, I am wondering if it isn't time now to think over the appropriateness.
Takemura, Shosuke
core   +1 more source