Results 81 to 90 of about 243,877 (271)
This study identifies mutation‐intolerant genes (MIGs), which are mutationally constrained in tumors despite normal‐tissue variability. Using miDriver, the authors pinpoint MIGs essential for tumor‐intrinsic fitness and immune evasion. Focusing on CHEK1, they show it drives tumor fitness and sculpts an immunosuppressive niche via the MIF–CD74 axis ...
Tao Wang +16 more
wiley +1 more source
Energy Prices Forecasting Using GLM [PDF]
The work described in this article results from a problem proposed by the company EDP—Energy Solutions Operator, in the framework of ESGI 119th, European Study Group with Industry, during July 2016. Markets for electricity have two characteristics: the energy is mainly no-storable and volatile prices at exchanges are issues to take into consideration ...
Teodoro, M. F. +4 more
openaire +2 more sources
Vector Approximate Message Passing for the Generalized Linear Model
The generalized linear model (GLM), where a random vector $\boldsymbol{x}$ is observed through a noisy, possibly nonlinear, function of a linear transform output $\boldsymbol{z}=\boldsymbol{Ax}$, arises in a range of applications such as robust ...
Fletcher, Alyson K. +2 more
core +1 more source
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source
Design Issues for Generalized Linear Models: A Review
Generalized linear models (GLMs) have been used quite effectively in the modeling of a mean response under nonstandard conditions, where discrete as well as continuous data distributions can be accommodated.
Ghosh, Malay +3 more
core +3 more sources
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
Teaching GLM Concepts: Explicating the Connections
The purpose of the present paper is to encourage textbook authors, quantitative instructors, curriculum writers, and software developers to move away from the use of isolated apparently disconnected analyses and instead move towards the use of the ...
Susan Troncoso Skidmore
doaj +1 more source
Abstract This study explores the rent price ratio in agricultural land markets, crucial for evaluating market efficiency, policy needs, and farmer decision‐making. Traditionally, the analyses faced challenges due to the absence of concurrent sale and rent data for the same land, potentially leading to biased results.
Marius Michels +4 more
wiley +1 more source
Background Following the ban on the importation of import-dependent fed ingredients in most developing countries, the need to look inward for local content is now compelling. Thus, leaf meals that have phytogenic additive potentials are envisaged will be
Olugbenga David Oloruntola +5 more
doaj +1 more source
ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole +6 more
wiley +1 more source

