Results 61 to 70 of about 384,025 (280)

Conditional inference and advanced mathematical study [PDF]

Educational Studies in Mathematics, 2007
Many mathematicians and curriculum bodies have argued in favour of the theory of formal discipline: that studying advanced mathematics develops one’s ability to reason logically. In this paper we explore this view by directly comparing the inferences drawn from abstract conditional statements by advanced mathematics students and well-educated arts ...
Inglis, M., Simpson, A.
openaire   +2 more sources

LMO7 Suppresses Tumor‐Associated Macrophage Phagocytosis of Tumor Cells Through Degradation of LRP1

Advanced Science, EarlyView.
LMO7 in tumor‐associated macrophages suppresses phagocytosis of tumor cells and limits cytotoxic T lymphocytes infiltration, fostering tumor progression. Mechanistically, LMO7 mediates the ubiquitination and degradation of the phagocytic receptor LRP1, impairing its ability to engulf tumor cells and driving macrophages toward an antitumor phenotype ...
Mengkai Li, Tao Wang, Yuwen Zhong, Zhiming Wang, Wei Li, Zejian Wang, Xinyi Yang, Yu Qiao, Jianfeng Xiang, Wei Gu, Zishu Wang, Lei Sun, Feng Qian   +12 more
wiley   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression

Journal of Statistical Software, 2014
Inference in quantile analysis has received considerable attention in the recent years. Linear quantile mixed models (Geraci and Bottai 2014) represent a ?exible statistical tool to analyze data from sampling designs such as multilevel, spatial, panel or
Marco Geraci
doaj   +1 more source

A comparison of the accuracy of saddlepoint conditional cumulative distribution function approximations

, 2007
Consider a model parameterized by a scalar parameter of interest and a nuisance parameter vector. Inference about the parameter of interest may be based on the signed root of the likelihood ratio statistic R.
Kolassa, John E., Zhang, Juan
core   +1 more source

Illusory inferences in conditional expressions

Memory & Cognition
AbstractA robber points a gun at a cashier and says: “Only one of these two options is true: If you conceal the combination to the safe, then I kill you; otherwise, if you don´t conceal the combination to the safe, then I kill you.” Hearing this statement, most people conclude that, in either case, “I kill you.” This is an illusory response, in fact ...
Espino, Orlando, Orenes, Isabel, Moreno Ríos, Sergio   +2 more
openaire   +4 more sources

“TRANSITIVE INFERENCE” IN MULTIPLE CONDITIONAL DISCRIMINATIONS [PDF]

Journal of the Experimental Analysis of Behavior, 1993
We used multiple conditional discriminations to study the inferential abilities of pigeons. Using a five‐term stimulus series, pigeons were trained to respond differentially to four overlapping pairs of concurrently presented stimuli: A+B−, B+C−, C+D−, and D+E−, where plus and minus indicate the stimulus associated with reinforcement and extinction ...
J J, Higa, J E, Staddon
openaire   +2 more sources

Gut Mycobiota‐Associated Tryptophan Catabolites Protect Against Metabolic Dysfunction‐Associated Steatotic Liver Disease

Advanced Science, EarlyView.
ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao, Shuangya Fan, Juan Xu, Zhen Xu, Chen Peng, Junxing Qu, Ziqian Bing, Shizhen Zhou, Sunan Shen, Guifang Xu, Yue Zhao, Tingting Wang   +11 more
wiley   +1 more source

Tools for causal inference from cross-sectional innovation surveys with continuous or discrete variables: Theory and applications

Cuadernos de Economía, 2018
This paper presents a new statistical toolkit by applying three techniques for data-driven causal inference from the machine learning community that are little-known among economists and innovation scholars: a conditional independencebased approach ...
Alex Coad
doaj   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source