Reset
Showing 20 of 3,890 academic articles

Molecular Affects in Human Geographies

Derek P. McCormack • Environment and Planning A Economy and Space (2007)

In this paper I engage critically with the relation between affect and the molecular—the former touching upon but not limited to questions of mood and emotion, and the latter registering the power of processes including, but not limited to,...

OPENALEX DOI: https://doi.org/10.1068/a3889

Encyclopedia of human geography

• Choice Reviews Online (2004)

SAGE Reference is proud to announce the Encyclopedia of Human Geography. Human geography has undergone a conceptual and methodological renaissance that has transformed the field into one of the most dynamic social sciences. Earlier traditio...

OPENALEX DOI: https://doi.org/10.5860/choice.42-0060

Progress in Human Geography?

Roger Lee, Noel Castree, Vicky Lawson, Anssi Paasi et al. • Progress in Human Geography (2009)

The possibility of progress - especially with a capital 'P' - is a question that has troubled philosophers, historians and social schemers for centuries. It also has a range of profoundly political dimensions. In David Livingstone's (2006b)...

OPENALEX DOI: https://doi.org/10.1177/0309132508100651

Optimal pre-train/fine-tune strategies for accurate material property predictions

Reshma Devi, Keith T. Butler, Gopalakrishnan Sai Gautam • npj Computational Materials (2024)

Abstract A pathway to overcome limited data availability in materials science is to use the framework of transfer learning, where a pre-trained (PT) machine learning model (on a larger dataset) can be fine-tuned (FT) on a target (smaller) d...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-024-01486-1

Switchable half-metallicity in A-type antiferromagnetic NiI2 bilayer coupled with ferroelectric In2Se3

Yaping Wang, Xinguang Xu, Xian Zhao, Weixiao Ji et al. • npj Computational Materials (2022)

Abstract Electrically controlled half-metallicity in antiferromagnets is of great significance for both fundamental research and practical application. Here, by constructing van der Waals heterostructures composed of two-dimensional (2D) A-...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-022-00904-6

Investigation of a Low-Speed Commutation Voltage Shock Problem in Three-Level ANPC Inverter with Hybrid Modulation Mode

Jian Yu, Renhui Shen, Le Zhou, Zelin Jia et al. • Machines (2023)

With the development of the photovoltaic industry; there will be an increasing demand for efficient, high-power density, and low-cost grid interface converters. Compared with two-level inverters, multilevel inverters have the following adva...

DOAJ Open Access (DOAJ) DOI: 10.3390/machines12010027

One roof, two thermal modes

Ningning Cao, Changqing Ye, Yifan Zhang, Xudong Xiang et al. • DeCarbon (2026)

While seasonally fixed passive coolers provide thermal relief during heat-stress periods, their intrinsic mechanism of continuous heat dissipation renders them inherently thermally penalizing during the heating season. Here, we report and h...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.decarb.2026.100191

Model Optimasi SVM Dengan PSO-GA dan SMOTE Dalam Menangani High Dimensional dan Imbalance Data Banjir

Raenald Syaputra, Taghfirul Azhima Yoga Siswa, Wawan Joko Pranoto • Teknika (2024)

Banjir merupakan salah satu bencana alam yang sering terjadi di Indonesia, termasuk di Kota Samarinda dengan 18-33 titik desa terdampak dari tahun 2018-2021. Penggunaan machine learning dalam mengklasifikasi bencana banjir sangat penting un...

DOAJ Open Access (DOAJ) DOI: 10.34148/teknika.v13i2.876

A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning

Cameron J. Hargreaves, Michael W. Gaultois, Luke M. Daniels, Emma J. Watts et al. • npj Computational Materials (2023)

Abstract The application of machine learning models to predict material properties is determined by the availability of high-quality data. We present an expert-curated dataset of lithium ion conductors and associated lithium ion conductivit...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-022-00951-z

Rethinking Productivity in Software Engineering

Caitlin Sadowski, Thomas Zimmermann • Apress eBooks (2019)

This open access book collects the wisdom of the 2017 Dagstuhl seminar on productivity in software engineering. It includes chapters on definitions and core concepts related to guidelines for measuring productivity in specific contexts, bes...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1007/978-1-4842-4221-6

Optimizing supercritical antisolvent process parameters to minimize the particle size of paracetamol nanoencapsulated in L-polylactide

Kalani M, Yunus R, Abdullah N • International Journal of Nanomedicine (2011)

Mahshid Kalani, Robiah Yunus, Norhafizah AbdullahChemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia, Selangor Darul Ehsan, MalaysiaBackground: The aim of this study was to optimize the different proces...

DOAJ Open Access (DOAJ)

Enhanced Deep Learning Model for Classification of Retinal Optical Coherence Tomography Images

Esraa Hassan, Samir Elmougy, Mai R. Ibraheem, M. Shamim Hossain et al. • Sensors (2023)

Retinal optical coherence tomography (OCT) imaging is a valuable tool for assessing the condition of the back part of the eye. The condition has a great effect on the specificity of diagnosis, the monitoring of many physiological and pathol...

DOAJ Open Access (DOAJ) DOI: 10.3390/s23125393

Temperature- and vacancy-concentration-dependence of heat transport in Li3ClO from multi-method numerical simulations

Paolo Pegolo, Stefano Baroni, Federico Grasselli • npj Computational Materials (2022)

Abstract Despite governing heat management in any realistic device, the microscopic mechanisms of heat transport in all-solid-state electrolytes are poorly known: existing calculations, all based on simplistic semi-empirical models, are unr...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41524-021-00693-4