Results 121 to 130 of about 24,980 (288)

A Python-based programming language for high-performance computational genomics [PDF]

Nature Biotechnology, 2021
Alexander T. Leighton, Saman Amarasinghe, Ibrahim Numanagić, Ibrahim Numanagić, Bonnie Berger, Ariya Shajii, Haley Greenyer   +6 more
openaire   +4 more sources

From Tweets to Insights: Social Opinion Mining on Corporate Social Responsibility

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate Social Responsibility (CSR) has become increasingly critical as firms seek to balance financial goals with social and environmental responsibilities. Our study introduces a three‐phase structured method to analyze stakeholders' opinions on CSR through Social Opinion Mining, utilizing stakeholder and legitimacy theories.
Chiara Leggerini, Mariasole Bannò
wiley   +1 more source

Approaching the largest ‘API’: extracting information from the Internet with Python

Code4Lib Journal, 2018
This article explores the need for libraries to algorithmically access and manipulate the world’s largest API: the Internet. The billions of pages on the ‘Internet API’ (HTTP, HTML, CSS, XPath, DOM, etc.) are easily accessible and manipulable. Libraries
Jonathan E. Germann
doaj  

A Nonessential Corporate Social Responsibility Reorientation: The Woke‐Washing Phenomenon in Victoria's Secret's Transformation

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT In markets that prioritize Corporate Social Responsibility, brands frequently encounter pressure to adopt socially progressive values. Victoria's Secret's recent shift toward inclusivity exemplifies how rapid moral repositioning can elicit skepticism and accusations of “woke‐washing.” Despite extensive research on brand authenticity, consumer ...
Angela Lizzi, Giacomo Zatini, Armando Della Porta   +2 more
wiley   +1 more source

Upcycling of Waste Poly(ethylene Terephthalate): Ammonolysis Kinetics of Model Bis(2‐Hydroxyethyl Terephthalate) and Particle Size Effects in Polymeric Substrates

ChemSusChem, EarlyView.
Chemical upcycling of poly(ethylene terephthalate) (PET) through ammonolysis is pursued. Model studies convert bis(2‐hydroxyethyl) terephthalate to terephthalamide. Diffusional limitations are explored using varying PET particle sizes and are profoundly important; for particles only 1 millimeter thick, the conversion rate decreases by a factor of ten ...
Richard‐Joseph L. Peterson, Elanna P. Neppel, Daniel Holmes, P. Anh Trinh, Robert Y. Ofoli, John R. Dorgan   +5 more
wiley   +1 more source

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski, Jacob Durtschi, Aimal Aziz, Jeffrey Chumley, Mark Dewey, Paul English, Muir Morrison, Keith Simmon, Blaine Whipple, Brendan O'Fallon, David P. Ng   +10 more
wiley   +1 more source

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

Deep Underground Science and Engineering, EarlyView.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su, Yong Fu, Miaomiao Sun, Kailin Ding, Ying Zhao   +4 more
wiley   +1 more source

Uncertainty in inventories for life cycle assessment: State‐of‐the‐art, challenges, and new technologies

Environmental Progress &Sustainable Energy, EarlyView.
Abstract Uncertainty is a critical factor that can hinder the quality and potential applications of life cycle assessment (LCA) results. A prominent source of uncertainty stems from the life cycle inventory (LCI) data. Various methodologies exist to estimate the uncertainty associated with LCI data, primarily based on the widely used structured ...
Eric C. D. Tan, Qingshi Tu, Antonio A. Martins, Yuan Yao, Aydin Sunol, Raymond L. Smith   +5 more
wiley   +1 more source

Heterogeneous network management through the implementation of a topology using the python programming language and software-defined networking technology

, 2018
Philip Floriano Rodrigues Ramkeerat, Kleber Bittencourt Oliveira, Vanise dos Santos Rodrigues, Charles de Freitas Guimarães, Greyce dos Santos Rodrigues   +4 more
openalex   +1 more source

An Overview of Current Optimization Approaches for Hybrid Energy Systems Combining Solar Photovoltaic and Wind Technologies

Energy Science &Engineering, EarlyView.
ABSTRACT This study reviews recent developments in optimization techniques for hybrid solar photovoltaic and wind energy systems, particularly those using artificial intelligence (AI) and hybrid algorithms. Due to the global need for sustainable energy, the study compares both traditional and modern optimization techniques.
Ibrahim Seidu, Sani Salisu, Abdullahi Abubakar Mas'ud, Umar Musa, Adamu Halilu Jabire, Firdaus Muhammad‐Sukki, Ibrahim Abubakar Mas'ud   +6 more
wiley   +1 more source