keyword
https://read.qxmd.com/read/38532999/detection-and-analysis-of-deteriorated-areas-in-solar-pv-modules-using-unsupervised-sensing-algorithms-and-3d-augmented-reality
#21
JOURNAL ARTICLE
Adel Oulefki, Yassine Himeur, Thaweesak Trongtirakul, Kahina Amara, Sos Agaian, Samir Benbelkacem, Mohamed Amine Guerroudji, Mohamed Zemmouri, Sahla Ferhat, Nadia Zenati, Shadi Atalla, Wathiq Mansoor
Solar Photovoltaic (PV) systems are increasingly vital for enhancing energy security worldwide. However, their efficiency and power output can be significantly reduced by hotspots and snail trails, predominantly caused by cracks in PV modules. This article introduces a novel methodology for the automatic segmentation and analysis of such anomalies, utilizing unsupervised sensing algorithms coupled with 3D Augmented Reality (AR) for enhanced visualization. The methodology outperforms existing segmentation techniques, including Weka and the Meta Segment Anything Model (SAM), as demonstrated through computer simulations...
March 30, 2024: Heliyon
https://read.qxmd.com/read/38532715/role-of-udp-n-acetylmuramic-acid-in-the-regulation-of-mura-activity-revealed-by-molecular-dynamics-simulations
#22
JOURNAL ARTICLE
Maycon Vinicius Damasceno de Oliveira, Kauê S da Costa, José Rogério A Silva, Jerônimo Lameira, Anderson H Lima
The peptidoglycan biosynthesis pathway plays a vital role in bacterial cells, and facilitates peptidoglycan layer formation, a fundamental structural component of the bacterial cell wall. The enzymes in this pathway are candidates for antibiotic development, as most do not have mammalian homologues. The UDP-N-acetylglucosamine (UNAG) enolpyruvyl transferase enzyme (MurA) in the peptidoglycan pathway cytoplasmic step is responsible for the phosphoenolpyruvate (PEP)-UNAG catalytic reaction, forming UNAG enolpyruvate and inorganic phosphate...
April 2024: Protein Science
https://read.qxmd.com/read/38532259/correction-to-introducing-meta-analysis-in-the-evaluation-of-computational-models-of-infant-language-development
#23
(no author information available yet)
No abstract text is available yet for this article.
March 2024: Cognitive Science
https://read.qxmd.com/read/38532207/development-of-a-screening-system-of-gene-sets-for-estimating-the-time-of-early-skeletal-muscle-injury-based-on-second-generation-sequencing-technology
#24
JOURNAL ARTICLE
Junyi Shen, Hao Sun, Shidong Zhou, Liangliang Wang, Chaoxiu Dong, Kang Ren, Qiuxiang Du, Jie Cao, Yingyuan Wang, Junhong Sun
The present study is aimed to address the challenge of wound age estimation in forensic science by identifying reliable genetic markers using low-cost and high-precision second-generation sequencing technology. A total of 54 Sprague-Dawley rats were randomly assigned to a control group or injury groups, with injury groups being further divided into time points (4 h, 8 h, 12 h, 16 h, 20 h, 24 h, 28 h, and 32 h after injury, n = 6) to establish rat skeletal muscle contusion models...
March 27, 2024: International Journal of Legal Medicine
https://read.qxmd.com/read/38532139/advancements-and-challenges-of-digital-twins-in-industry
#25
REVIEW
Fei Tao, He Zhang, Chenyuan Zhang
Digital twins, which are considered an effective approach to realize the fusion between virtual and physical spaces, have attracted a substantial amount of attention in the past decade. With their rapid development in recent years, digital twins have been applied in various fields, particularly in industry. However, there are still some gaps to be filled and some limitations to be addressed. Here we provide a brief overview of digital twin advancements in industry and highlight the main pitfalls to avoid and challenges to overcome, to improve the maturity of digital twins and facilitate large-scale industrial applications in the future...
March 2024: Nature computational science
https://read.qxmd.com/read/38532138/digital-twins-in-mechanical-and-aerospace-engineering
#26
REVIEW
Alberto Ferrari, Karen Willcox
Digital twins bring value to mechanical and aerospace systems by speeding up development, reducing risk, predicting issues and reducing sustainment costs. Realizing these benefits at scale requires a structured and intentional approach to digital twin conception, design, development, operation and sustainment. To bring maximal value, a digital twin does not need to be an exquisite virtual replica but instead must be envisioned to be fit for purpose, where the determination of fitness depends on the capability needs and the cost-benefit trade-offs...
March 2024: Nature computational science
https://read.qxmd.com/read/38532137/machine-learning-guided-engineering-of-genetically-encoded-fluorescent-calcium-indicators
#27
JOURNAL ARTICLE
Sarah J Wait, Marc Expòsit, Sophia Lin, Michael Rappleye, Justin Daho Lee, Samuel A Colby, Lily Torp, Anthony Asencio, Annette Smith, Michael Regnier, Farid Moussavi-Harami, David Baker, Christina K Kim, Andre Berndt
Here we used machine learning to engineer genetically encoded fluorescent indicators, protein-based sensors critical for real-time monitoring of biological activity. We used machine learning to predict the outcomes of sensor mutagenesis by analyzing established libraries that link sensor sequences to functions. Using the GCaMP calcium indicator as a scaffold, we developed an ensemble of three regression models trained on experimentally derived GCaMP mutation libraries. The trained ensemble performed an in silico functional screen on 1,423 novel, uncharacterized GCaMP variants...
March 2024: Nature computational science
https://read.qxmd.com/read/38532136/accelerating-protein-sensor-optimization-with-machine-learning
#28
JOURNAL ARTICLE
Hod Dana
No abstract text is available yet for this article.
March 2024: Nature computational science
https://read.qxmd.com/read/38532135/recent-achievements-and-conceptual-challenges-for-urban-digital-twins
#29
JOURNAL ARTICLE
Luís M A Bettencourt
No abstract text is available yet for this article.
March 2024: Nature computational science
https://read.qxmd.com/read/38532134/the-increasing-potential-and-challenges-of-digital-twins
#30
EDITORIAL
(no author information available yet)
No abstract text is available yet for this article.
March 2024: Nature computational science
https://read.qxmd.com/read/38532133/digital-twins-in-medicine
#31
REVIEW
R Laubenbacher, B Mehrad, I Shmulevich, N Trayanova
Medical digital twins, which are potentially vital for personalized medicine, have become a recent focus in medical research. Here we present an overview of the state of the art in medical digital twin development, especially in oncology and cardiology, where it is most advanced. We discuss major challenges, such as data integration and privacy, and provide an outlook on future advancements. Emphasizing the importance of this technology in healthcare, we highlight the potential for substantial improvements in patient-specific treatments and diagnostics...
March 2024: Nature computational science
https://read.qxmd.com/read/38532132/digital-twins-in-city-planning
#32
REVIEW
Michael Batty
Here, I provide a perspective on digital twins of cities that cover a wide array of different types, ranging from aggregate economic and behavioral processes to more disaggregate agent-based, cellular and micro-simulations. A key element in these applications is the way that we as scientists, policymakers and planners interact with real cities with respect to their understanding, prediction and design. I note a range of spatial models, from analytical simulations of local neighborhoods to large-scale systems of cities and city systems, and briefly describe computational challenges that geospatial applications in cities pose...
March 2024: Nature computational science
https://read.qxmd.com/read/38532131/the-role-of-computational-science-in-digital-twins
#33
JOURNAL ARTICLE
Karen Willcox, Brittany Segundo
No abstract text is available yet for this article.
March 2024: Nature computational science
https://read.qxmd.com/read/38532130/digital-twins-of-earth-and-the-computing-challenge-of-human-interaction
#34
JOURNAL ARTICLE
Peter Bauer, Torsten Hoefler, Bjorn Stevens, Wilco Hazeleger
No abstract text is available yet for this article.
March 2024: Nature computational science
https://read.qxmd.com/read/38532068/a-comprehensive-computational-study-to-explore-promising-natural-bioactive-compounds-targeting-glycosyltransferase-murg-in-escherichia-coli-for-potential-drug-development
#35
JOURNAL ARTICLE
Amneh Shtaiwi, Shafi Ullah Khan, Meriem Khedraoui, Mohd Alaraj, Abdelouahid Samadi, Samir Chtita
Peptidoglycan is a carbohydrate with a cross-linked structure that protects the cytoplasmic membrane of bacterial cells from damage. The mechanism of peptidoglycan biosynthesis involves the main synthesizing enzyme glycosyltransferase MurG, which is known as a potential target for antibiotic therapy. Many MurG inhibitors have been recognized as MurG targets, but high toxicity and drug-resistant Escherichia coli strains remain the most important problems for further development. In addition, the discovery of selective MurG inhibitors has been limited to the synthesis of peptidoglycan-mimicking compounds...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38532002/scale-free-bursting-activity-in-shrinkage-induced-cracking
#36
JOURNAL ARTICLE
Roland Szatmári, Akio Nakahara, So Kitsunezaki, Ferenc Kun
Based on computer simulations of a realistic discrete element model we demonstrate that shrinkage induced cracking of thin layers of heterogeneous materials, generating spectacular crack patterns, proceeds in bursts. These crackling pulses are characterized by scale free distributions of size and duration, however, with non-universal exponents depending on the system size and shrinking rate. On the contrary, local avalanches composed of micro-cracking events with temporal and spatial correlation are found to obey a universal power law statistics...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531995/research-on-collaborative-edge-network-service-migration-strategy-based-on-crowd-clustering
#37
JOURNAL ARTICLE
Junjie Cao, Zhiyong Yu, Bin Xue
The innovative application of Crowd Intelligent Devices (CIDS) in edge networks has garnered attention due to the rapid development of artificial intelligence and computer technology. This application offers users more reliable and low-latency computing services through computation offloading technology. However, the dynamic nature of network terminals and the limited coverage of edge servers pose challenges, such as data loss and service interruption. Furthermore, the high-speed mobility of intelligent terminals in the dynamic edge network environment further complicates the design of computation offloading and service migration strategies...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531985/author-correction-deep-learning-computer-aided-radiography-reading-for-tuberculosis-a-diagnostic-accuracy-study-from-a-tertiary-hospital-in-india
#38
Madlen Nash, Rajagopal Kadavigere, Jasbon Andrade, Cynthia Amrutha Sukumar, Kiran Chawla, Vishnu Prasad Shenoy, Tripti Pande, Sophie Huddart, Madhukar Pai, Kavitha Saravu
No abstract text is available yet for this article.
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531975/dimensionality-reduction-for-images-of-iot-using-machine-learning
#39
JOURNAL ARTICLE
Ibrahim Ali, Khaled Wassif, Hanaa Bayomi
Sensors, wearables, mobile devices, and other Internet of Things (IoT) devices are becoming increasingly integrated into all aspects of our lives. They are capable of gathering enormous amounts of data, such as image data, which can then be sent to the cloud for processing. However, this results in an increase in network traffic and latency. To overcome these difficulties, edge computing has been proposed as a paradigm for computing that brings processing closer to the location where data is produced. This paper explores the merging of cloud and edge computing for IoT and investigates approaches using machine learning for dimensionality reduction of images on the edge, employing the autoencoder deep learning-based approach and principal component analysis (PCA)...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531974/exploring-the-potential-of-ziziphus-nummularia-and-luteolin-7-o-glucoside-as-tubulin-inhibitors-in-cancer-therapy-and-survival
#40
JOURNAL ARTICLE
Sahar Saleh Alghamdi, Sara Abdulaziz Alghashem, Rizwan Ali, Arwa Alsubait, Rasha Saad Suliman, Afrah E Mohammed, Zeyad Alehaideb, Raghad Abdullah Alshafi, Allulu Yousef Alturki, Ishrat Rahman
Cancer is responsible for approximately 10 million deaths worldwide, with 70% of the deaths occurring in low- and middle-income countries; as such safer and more effective anti-cancer drugs are required. Therefore, the potential benefits of Ziziphus nummularia and Ziziphus spina-christi as sources of anti-cancer agents were investigated. Z. nummularia and Z. spina-christi extracts were prepared using chloroform, ethanol, ethyl acetate, and water. The extracts' anti-cancer properties were determined using the MTT Cell Viability Assay in four cancer cell lines: breast (KAIMRC2 and MDA-MB-231), colorectal (HCT8), and liver (HepG2)...
March 26, 2024: Scientific Reports
keyword
keyword
106293
2
3
Fetch more papers »
Fetching more papers... Fetching...
Remove bar
Read by QxMD icon Read
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"

We want to hear from doctors like you!

Take a second to answer a survey question.