Results 101 to 110 of about 243,074 (259)

Documenting biodiversity with digital data: comparing and contrasting the efficacy of specimen‐based and observation‐based approaches

New Phytologist, EarlyView.
Summary Digitized herbarium specimens and iNaturalist observations provide invaluable plant biodiversity data. Combining these two data sources could create a more holistic representation of local biodiversity; however, understanding biases inherent to each is critical to determine how to best combine and utilize these data.
Rebecca C. Wilcox, Anthony E. Baniaga, Avery P. Hill, Alison Young, Rebecca F. Johnson, Sarah J. Jacobs   +5 more
wiley   +1 more source

Chatbot-Based Learning Platform for SQL Training

International Journal of Interactive Multimedia and Artificial Intelligence
Learning the SQL language for working with relational databases is a fundamental subject for future computer engineers. However, in distance learning contexts or unexpected situations like the COVID-19 pandemic, where students had to follow lectures ...
Antonio Balderas, Rubén Baena-Pérez, Tatiana Person, José Miguel Mota, Iván Ruiz-Rube   +4 more
doaj   +1 more source

SQL Injection Attacks Detection & Prevention Techniques [PDF]

, 2017
Gülsüm Yiğit, Merve Arnavutoğlu
openalex   +1 more source

Novel method for trend change detection and hypothesis generation in hemovigilance: A transfusion‐related immunomodulation and blood production changes study

Transfusion, EarlyView.
Abstract Background Immunomodulatory consequences of transfusion, known as transfusion‐related immune modulation (TRIM), impact patients but are not captured by hemovigilance systems. This study's objective is to explore TRIM impacts of production changes made by the blood supplier. Methods We included all transfused and non‐transfused adult inpatients
S. Ning, N. Li, Y. Liu, D. Kim, J. P. Acker, D. Arnold, M. Hadzi‐Tosev, C. Hillis, A. Kauffman, K. J. Lucier, P. C. Liaw, B. Rochwerg, S. Syed, G. Travis, M. Zeller, N. M. Heddle   +15 more
wiley   +1 more source

Self‐Driving Development of Perfusion Processes for Monoclonal Antibody Production

Biotechnology and Bioengineering, Volume 123, Issue 2, Page 391-405, February 2026.
ABSTRACT The development of autonomous agents in bioprocess development is crucial for advancing biopharma innovation. Time and resources required to develop and transfer a process for clinical material generation can be significantly decreased. While robotics and machine learning have greatly accelerated drug discovery and initial screening, the later
Chethana Janardhana Gadiyar, Claudio Müller, Thomas Vuillemin, Jean‐Marc Bielser, Jonathan Souquet, Alessandro Fagnani, Michael Sokolov, Moritz von Stosch, Fabian Feidl, Alessandro Butté, Mariano Nicolas Cruz Bournazou   +10 more
wiley   +1 more source

Utilizing machine learning to establish a predictive model for transfusion requirements in patients with severe trauma: A comprehensive analysis

Hong Kong Journal of Emergency Medicine, Volume 33, Issue 1, February 2026.
Abstract Background Blood transfusion plays a crucial role in the emergency care of trauma patients, significantly impacting their survival rates and prognoses, thereby saving millions of lives annually. Early and rapid recognition of transfusion needs in trauma patients is essential.
Kaiyuan Li, Jiayi Xing, Bing Lu, Siyi Cao, Miao Yu, Fei Pan, Dingyuan Tu, Tanshi Li   +7 more
wiley   +1 more source

Factors Associated With Male Breast Cancer Incidence Among Prostate Cancer Survivors: Real World Evidence From Veterans Affairs National Prostate Cancer Data Core

The Prostate, Volume 86, Issue 2, Page 227-235, February 2026.
ABSTRACT Background While male breast cancer incidence is rare, veteran status is found to be associated with increased risk, for incidence, a higher prevalence of male breast cancer patients was observed among male veteran prostate cancer survivors.
Erum Z. Whyne, Sung‐Hee Choi, Nisha Unni, Shifa Kanjwal, Jonathan E. Dowell, Haekyung Jeon‐Slaughter   +5 more
wiley   +1 more source

Actualización remota. Una solución particular

Revista Cubana de Ciencias Informáticas, 2011
El Nivel Central de Mercurio es un sistema informático para centralizar tareas que son inherentes a todas las oficinas postales y complementa al Sistema Mercurio, implantado en varias oficinas de todo el país.
Eugenia Muñiz Lodos, Diana Mendoza Quesada   +1 more
doaj  

A Novel Approach of Latency and Energy Efficiency Analysis of IIoT With SQL and NoSQL Databases Communication [PDF]

, 2023
Soukaina Bakhat Kenitar, Mounir Arioua, Mohammed Yahyaoui   +2 more
openalex   +1 more source

Mapping Labor Demand for Data‐Intensive Work in the United Kingdom, Canada, and the United States

Review of Income and Wealth, Volume 72, Issue 1, February 2026.
ABSTRACT The paper makes three main contributions. First, it develops an NLP‐based methodology to identify data‐intensive skills in job advertisements at scale. Second, it operationalizes a transparent indicator of data intensity for occupations and industries. Third, by applying the method to job advertisements from the United Kingdom, Canada, and the
Julia Schmidt, Graham Pilgrim, Annabelle Mourougane   +2 more
wiley   +1 more source