Results 51 to 60 of about 333 (141)

Containment strategies after the first wave of COVID-19 using mobility data [PDF]

, 2020
In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread.
Boon, Marko, Gösgens, Martijn, Heesterbeek, Hans, Hendriks, Teun, Keuning, Stijn, Litvak, Nelly, Steenbakkers, Wim, van der Hofstad, Remco   +7 more
core   +1 more source

CRISPR‐driven diagnostics: Molecular mechanisms, clinical efficacy and translational challenges

Clinical and Translational Medicine, Volume 15, Issue 10, October 2025.
The CRISPR/Cas system has emerged as a transformative tool in the field of molecular diagnosis, offering unprecedented sensitivity, specificity and rapid detection capabilities. This review further examines the molecular mechanisms of CRISPR tools, compares their clinical efficacy with traditional methods and highlights cutting‐edge innovations such as
Zilong Wang, Qianqian Wang, Jiaming Zhang, Bingyu Li, Yuke Li, Zhengbo Chen, Dandan Guo, Shuying Feng   +7 more
wiley   +1 more source

A comprehensive study on modern optimization techniques for engineering applications [PDF]

Rapid industrialization has fueled the need for effective optimization solutions, which has led to the widespread use of meta-heuristic algorithms. Among the repertoire of over 600, over 300 new methodologies have been developed in the last ten years ...
Selvarajan, S
core   +1 more source

PREDICTING PEAK PARTICLE VELOCITY INDUCED BY MINING BLASTING USING OPTIMIZED DEEP LEARNING WITH CORONAVIRUS HERD IMMUNITY ALGORITHM

Rudarsko-geološko-naftni zbornik
One of the most important economic sectors is mining. Open-pit mines are the most common form, and blasting is the most efficient method. This method can cause significant damage due to vibrations. Thus, monitoring and controlling vibrations is important. This research aims to predict vibrations based on the distance and quantity of explosives.
Davood Mohammadi Sargini, Mohammad Ataei, Reza Mikaeil, Akbar Esmaeilzadeh   +3 more
openaire   +1 more source

Optimal COVID-19 Adapted Table Disposition in Hostelry for Guaranteeing the Social Distance through Memetic Algorithms [PDF]

[EN] The COVID-19 pandemic has challenged all physical interactions. Social distancing, face masks and other rules have reshaped our way of living during the last year. The impact of these measures for indoor establishments, such as education or hostelry
Díez González, Javier, Ferrero Guillén, Rubén, Martínez Gutiérrez, Alberto, Álvarez, Rubén   +3 more
core   +1 more source

Enhanced Rao Algorithms for Optimization of the Structures Considering the Deterministic and Probabilistic Constraints [PDF]

, 2022
Rao algorithms are metaheuristic algorithms that are based on population and do not have metaphors. These algorithms are extremely simple and do not require the use of any parameters that are dependent on the problem.
Kaveh, Ali, Zaerreza, Attaolah
core   +1 more source

Factors Influencing Mistriage Based on the Korean Triage and Acuity Scale: A Retrospective Cross‐Sectional Study

Journal of Nursing Scholarship, Volume 57, Issue 5, Page 860-873, September 2025.
ABSTRACT Introduction Mistriage is important because of its potential for serious consequences, notwithstanding the beneficial effects of the emergency patient classification system employed to alleviate overcrowding in emergency departments (EDs). This study aimed to assess mistriage using the Korean Triage and Acuity Scale (KTAS) and identify factors
Nayeon Yi, Dain Baik
wiley   +1 more source

Hybrid Support Vector Machine‐Convolutional Neural Networks Multi‐Classification Models for Detection of Kidney Stones

International Journal of Imaging Systems and Technology, Volume 35, Issue 4, July 2025.
ABSTRACT The accurate and early detection of kidney stones is crucial for effective treatment and patient management. This study presents a hybrid machine learning approach combining Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) for the multi‐classification of kidney stones.
Setlhabi Letlhogonolo Rapelang, Ibidun Christiana Obagbuwa   +1 more
wiley   +1 more source

Lighting enhancement of underwater image using coronavirus herd immunity optimizer

Alexandria Engineering Journal
Recently, the technology of Underwater computer vision has played a vital role by improving the quality of underwater images owing to its significance in different applications in marines, such as military, resource development, biological research, and ...
Zaid Abdi Alkareem Alyasseri, Rana Ghalib, Norziana Jamil, Husam Jasim Mohammed, Nor'ashikin Ali, Nabeel Salih Ali, Fahd N. Al-Wesabi, Mohammed Assiri   +7 more
doaj   +1 more source

Revolution of AAV in Drug Discovery: From Delivery System to Clinical Application

Journal of Medical Virology, Volume 97, Issue 6, June 2025.
ABSTRACT Adeno‐associated virus (AAV) is a non‐enveloped DNA virus infecting a wide variety of species, tissues, and cell types, which is recognized as a safe and effective method for delivering therapeutic transgenes. AAV vector is the most popular viral gene delivery system in clinical delivery systems with unique and multiple advantages, such as ...
Ling Yin, Hongliang He, Hongliang Zhang, Yuhua Shang, Chengbo Fu, Songquan Wu, Tengchuan Jin   +6 more
wiley   +1 more source