Results 71 to 80 of about 204,354 (270)

Guessing in Multiple Choice Questions: Challenges and Strategies [PDF]

open access: yesمجله ایرانی آموزش در علوم پزشکی, 2014
Introduction: Guessing is one of the most challenging issues in multiple choice questions. Several strategies, such as negative scoring, have been suggested for preventing students from choosing the right answer just by chance.
Sara Mortaz Hejri   +2 more
doaj  

Loss of Information in Quantum Guessing Game

open access: yes, 2017
Incompatibility of certain measurements -- impossibility of obtaining deterministic outcomes simultaneously -- is a well known property of quantum mechanics.
Pivoluska, Matej, Plesch, Martin
core   +1 more source

Accelerating the Development of Organic Solar Cells: A Standardized Protocol with Machine Learning Integration

open access: yesAdvanced Energy Materials, EarlyView.
This publication introduces a streamlined method for evaluating new organic solar cell materials, focusing on layer thickness and efficiency optimization—enhanced by machine‐learning‐driven UV–vis spectral deconvolution. It outlines a degradation testing protocol, emphasizing half‐cell vs. full‐cell comparisons and environmental stress factors. Finally,
Jonas Wortmann   +8 more
wiley   +1 more source

Farmers' Financial Literacy—Scale Development and Linkages to Accounting Practices and Financial Outcomes

open access: yesAgribusiness, EarlyView.
ABSTRACT This study investigates the financial literacy (FL) of Swedish farmers, its linkages to farmer characteristics, management accounting practices and farm outcomes by surveying Swedish Farm Accountancy Data Network farmers. Using item response theory, we expand the existing FL measurement specifically to the farming context, assess measurement ...
Uliana Gottlieb, Helena Hansson
wiley   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

open access: yesAdvanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob   +2 more
wiley   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

open access: yesAdvanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir   +4 more
wiley   +1 more source

Guessing Revisited: A Large Deviations Approach

open access: yes, 2010
The problem of guessing a random string is revisited. A close relation between guessing and compression is first established. Then it is shown that if the sequence of distributions of the information spectrum satisfies the large deviation property with a
Hanawal, Manjesh Kumar   +1 more
core  

"Graph Entropy, Network Coding and Guessing games" [PDF]

open access: yes, 2007
We introduce the (private) entropy of a directed graph (in a new network coding sense) as well as a number of related concepts. We show that the entropy of a directed graph is identical to its guessing number and can be bounded from below with the number
RIIS, SM
core   +3 more sources

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla   +4 more
wiley   +1 more source

Using Guessing as A Word-Solving Strategy in Handling The Unknown Words to Improve Students’ Vocabulary Interpretation of A Text

open access: yesJurnal Pendidikan Humaniora, 2013
This Classroom Action Research is conducted to implement the strategy of guessing to solve the students’ vocabulary interpretation problem of inferring and handling unknown words which, in turn, improves their overall performance in vocabulary course. It
Sofia Maurisa
doaj   +1 more source

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