Results 121 to 130 of about 1,080,302 (365)

Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins

FEBS Open Bio, EarlyView.
We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó, Eszter Nagy‐Kanta, Soma Varga, Edit Andrea Jáger, Csaba István Pongor, Mária Laki, András József Laki, Zoltán Gáspári   +7 more
wiley   +1 more source

Learning to Exploit Different Translation Resources for Cross Language Information Retrieval

International Journal of Information and Communication Technology Research, 2014
One of the important factors that affects the performance of Cross Language Information Retrieval(CLIR) is the quality of translations being employed in CLIR. In order to improve the quality of translations, it is important to exploit available resources
Hosein Azarbonyad, Azadeh Shakery, Heshaam Faili   +2 more
doaj  

Effective Lightweight Learning-to-Rank Method Using Unified Term Impacts

IEEE Access, 2020
In this study, we propose and evaluate a novel learning-to-rank (L2R) approach that produces results on par with those of the state-of-the-art L2R methods while being computationally effective.
Sheila Da N. Silva, Edleno S. De Moura, Pavel P. Calado, Altigran S. Da Silva   +3 more
doaj   +1 more source

Report on the 2nd MObility for Vesicle research in Europe (MOVE) symposium—2024

FEBS Open Bio, EarlyView.
The 2nd MObility for Vesicle research in Europe (MOVE) Symposium in Belgrade brought over 280 attendees from 28 countries to advance extracellular vesicle (EV) research. Featuring keynotes, presentations, and industry sessions, it covered EV biogenesis, biomarkers, therapies, and manufacturing.
Dorival Mendes Rodrigues‐Junior, Michaela Kocholata, Marilena E. Lekka, Olga Janouskova, Moran Yadid, Maja Kosanovic   +5 more
wiley   +1 more source

Learning to rank quantum circuits for hardware-optimized performance enhancement [PDF]

Quantum
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a training procedure conducted on real hardware.
Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael Hush, Michael J. Biercuk, Yuval Baum   +5 more
doaj   +1 more source

Designing and Delivering Effective Faculty Development With the Adult Learner in Mind

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT University faculty are busy professionals tasked with many different responsibilities. While they certainly care about student success, their expertise is generally discipline‐specific and strategies for effective and engaging teaching are developed in the classroom along the way.
Nancy V. Winfrey
wiley   +1 more source

Learning to Rank with Selection Bias in Personal Search

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2016
Click-through data has proven to be a critical resource for improving search ranking quality. Though a large amount of click data can be easily collected by search engines, various biases make it difficult to fully leverage this type of data. In the past,
Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork   +3 more
semanticscholar   +1 more source

Instructional Design and Facilitation for Multigenerational Online Learning in Higher Education—Baby Boomers, Generation X, Millennials, and Generation Z

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Nontraditional students represent a substantial number and significant percentage of students in higher education. While these adult learners have similarities, they also span 50+ years with generational differences. At the same time, online learning is on the rise, offering opportunities and challenges for nontraditional students and those ...
Brittany Hyden, Catherine A. Cherrstrom
wiley   +1 more source

An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance

International Conference on the Theory of Information Retrieval, 2019
One of the challenges of learning-to-rank for information retrieval is that ranking metrics are not smooth and as such cannot be optimized directly with gradient descent optimization methods.
Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork   +3 more
semanticscholar   +1 more source

Employing Adult Learning Principles for Faculty Development of Equity Focused Teaching: Critical Reflections

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This manuscript describes the intentional use of adult learning principles in creating three faculty development initiatives centering on equity‐based teaching. The authors reflected on the design and development process, facilitation and the perceived benefits and challenges.
Kayon Murray‐Johnson, Melissa A. Willis   +1 more
wiley   +1 more source