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Možnosti rekonstrukce stravy obyvatel Plzně v období pozdního středověku a novověku na základě analýzy stabilních izotopů uhlíku a dusíku

Jiří Orna, Jiří Šneberger, Veronika Kočí Dudková, Sylva Drtikolová Kaupová • Archaeologia Historica (2024)

Zvyšující se potenciál přírodovědných analýz rozšiřuje možnosti poznání složení stravy, které bylo dříve založeno především na vysoké výpovědní hodnotě ekofaktů. Proto byly k izotopovým analýzám vybrány soubory získané archeologickým výzkum...

DOAJ Open Access (DOAJ) DOI: 10.5817/AH2024-1-10

Diş Hekimliğinde Aromaterapi

Oya Aktören, Doğa Naz Açar • Selcuk Dental Journal (2023)

Aromaterapi; bitkisel uçucu yağların ve aromatik bitkisel bileşiklerin hastalıkların önlenmesinde ya da tedavisinde topikal olarak veya inhalasyon yolu ile uygulanan tedavi yaklaşımıdır. Geçmişten günümüze kadar geleneksel, alternatif veya ...

DOAJ Open Access (DOAJ) DOI: 10.15311/selcukdentj.1097018

Clinical evaluation of DIAGNOVIR SARS-CoV-2 ultra-rapid antigen test performance compared to PCR-based testing

Ali Aytac Seymen, Ezgi Gulten, Erol Ozgur, Bülend Ortaç et al. • Scientific Reports (2023)

Abstract Coronavirus Disease-19 (COVID-19) is a highly contagious infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The development of rapid antigen tests has contributed to easing the burden on ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-023-31177-8

MATHEMATICS AND THE NATURAL SCIENCES

F. Bailly, Giuseppe O. Longo • Advances in computer science and engineering (2011)

Read: https://www.bookdepository.com/Mathematics-Natural-Sciences-Physical-Singularity-Life-Giuseppe-Longo/9781848166936?ref=grid-view&qid=1628083851263&sr=1-3#Introduction in free access : https://www.di.ens.fr/users/longo/files/BaLoSingBo...

OPENALEX DOI: https://doi.org/10.1142/9781848166943

First seroprevalence survey of bovine anaplasmosis: an emerging tick-borne disease in commercial livestock and dairy farms in Bangladesh

Md. Makshuder Rahman Zim, Nurnabi Ahmed, Mostak Ahmed, Md. Abu Haris Miah et al. • Parasitology (2024)

Bovine anaplasmosis is an infectious, tick-borne disease caused by Anaplasma species, which is accountable for huge economic loss in dairy industry. This study was aimed to determine the seroprevalence of bovine anaplasmosis on randomly sel...

DOAJ Open Access (DOAJ) DOI: 10.1017/S0031182024001495

Effect of stress ball use before cholecystectomy surgery on surgical fear, anxiety and comfort of patients: a randomized controlled trial

Hatice Merve Alptekin, Seval Ulubay, Seda Cansu Yeniğün Akbulut • BMC Nursing (2025)

Abstract Background Thinking about surgery generally causes fear and anxiety among patients. These negative feelings may affect the healing process. This study aimed to investigate the effects of a stress ball on surgical fear, anxiety and ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12912-025-04057-x

Current Trends in Tolerance Induction in Cow's Milk Allergy: From Passive to Proactive Strategies

Cansin Sackesen, Derya Ufuk Altintas, Aysen Bingol, Gulbin Bingol et al. • Frontiers in Pediatrics (2019)

This review addresses the current strategies of inducing tolerance development in infant and childhood cow's milk protein allergy (CMPA). The change in prevention strategies for CMPA has been emphasized based on the lack of evidence to supp...

DOAJ Open Access (DOAJ) DOI: 10.3389/fped.2019.00372

Few-shot learning for automated content analysis: Efficient coding of arguments and claims in the debate on arms deliveries to Ukraine

Jonas Rieger, Kostiantyn Yanchenko, Mattes Ruckdeschel, Gerret von Nordheim et al. • Studies in Communication, Media (2024)

Pre-trained language models (PLM) based on transformer neural networks developed in the field of natural language processing (NLP) offer great opportunities to improve automatic content analysis in communication science, especially for the ...

DOAJ Open Access (DOAJ) DOI: 10.5771/2192-4007-2024-1-72

Visual servoing for robot control: Learning activities using RoboDKde robots: actividades de aprendizaje con RoboDK

Raidell Avello-Martínez, Abraham Prieto García • Edutec (2025)

Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational stu...

DOAJ Open Access (DOAJ) DOI: 10.21556/edutec.2025.94.3955

A lightweight fully convolutional neural network for efficient and accurate tunnel crack detection

Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research (2026)

Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jare.2025.11.052

Evaluating artificial intelligence for a focal nodular hyperplasia diagnosis using magnetic resonance imaging: preliminary findings

Mecit Kantarcı, Volkan Kızılgöz, Ramazan Terzi, Ahmet Enes Kılıç et al. • Diagnostic and Interventional Radiology (2025)

PURPOSE: This study aimed to evaluate the effectiveness of artificial intelligence (AI) in diagnosing focal nodular hyperplasia (FNH) of the liver using magnetic resonance imaging (MRI) and compare its performance with that of radiologists....

DOAJ Open Access (DOAJ) DOI: 10.4274/dir.2025.243095

A Comprehensive Survey on Graph Anomaly Detection With Deep Learning

Xiaoxiao Ma, Jia Xin Wu, Shan Xue, Jian Yu Yang et al. • IEEE Transactions on Knowledge and Data Engineering (2021)

Anomalies are rare observations (e.g., data records or events) that deviate significantly from the others in the sample. Over the past few decades, research on anomaly mining has received increasing interests due to the implications of thes...

OPENALEX Open Access DOI: https://doi.org/10.1109/tkde.2021.3118815

Deep Learning for Spatio-Temporal Data Mining: A Survey

Senzhang Wang, Jiannong Cao, Philip S. Yu • IEEE Transactions on Knowledge and Data Engineering (2020)

With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from spatio-temp...

OPENALEX Open Access DOI: https://doi.org/10.1109/tkde.2020.3025580

A General Survey on Attention Mechanisms in Deep Learning

Gianni Brauwers, Flavius Frăsincar • IEEE Transactions on Knowledge and Data Engineering (2021)

Attention is an important mechanism that can be employed for a variety of deep learning models across many different domains and tasks. This survey provides an overview of the most important attention mechanisms proposed in the literature. ...

OPENALEX Open Access DOI: https://doi.org/10.1109/tkde.2021.3126456

Deep Learning on Graphs: A Survey

Ziwei Zhang, Peng Cui, Wenwu Zhu • IEEE Transactions on Knowledge and Data Engineering (2020)

Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep learning to the ubiquitous graph data is non-trivial because of the unique characte...

OPENALEX Open Access DOI: https://doi.org/10.1109/tkde.2020.2981333