A New Four‐Component L*‐Dependent Model for Radial Diffusion Based on Solar Wind and Magnetospheric Drivers of ULF Waves by Kyle R. Murphy, Jasmine Sandhu, I. Jonathan Rae, Thomas Daggitt, Sarah Glauert, Richard B. Horne, Clare E. J. Watt, Sarah Bentley, Adam Kellerman, Louis Ozeke, Alexa J. Halford, Sheng Tian, Aaron Breneman, Leonid Olifer, Ian R. Mann, Vassilis Angelopoulos, John Wygant

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Radiographic outcomes and subsidence rate in hyperlordotic versus standard lordotic interbody spacers in patients undergoing anterior cervical discectomy and fusion by Rajkishen Narayanan, Nicholas B. Pohl, Jonathan Dalton, Yunsoo Lee, Alexa Tomlak, Anthony Labarbiera, Meryem Guler, Emilie Sawicki, Sebastian I. Fras, Mark F. Kurd, John J. Mangan, Ian David Kaye, Jose A. Canseco, Alan S. Hilibrand, Alexander R. Vaccaro, Christopher K. Kepler, Gregory D. Schroeder, Joseph K. Lee

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Body composition and physical performance of mountain bike athletes by Rayane Carvalho de Moura, Crislane de Moura Costa, Cirley Pinheiro Ferreira, Bruna Lorena Soares Cavalcante Sousa, Leandra Caline dos Santos, Michelly da Silva Pinheiro, Sérgio Luís Galan Ribeiro, Sandro Soares Almeida, Joseline Lima e Silva Pinho, Naíza Monge Lages, Maria Flávia de Sousa, Iago Alves Costa, Glêbia Alexa Cardoso, Acácio Salvador Veras Silva, Alisson Alves Silva, Jefferson Cruz dos Santos Leite, Felipe Machado Brito, Lailson Henrique Oliveira dos Santos, Rubens Lima Rodrigues, Jairo da Costa Souza, Marcos Antonio Pereira dos Santos

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Neoadjuvant anti-PD1 immunotherapy for surgically accessible recurrent glioblastoma: clinical and molecular outcomes of a stage 2 single-arm expansion cohort by J. Ricardo McFaline-Figueroa, Lu Sun, Gilbert C. Youssef, Raymond Huang, Gang Li, Jiyoon Kim, Eudocia Q. Lee, Lakshmi Nayak, Ugonma Chukwueke, Rameen Beroukhim, Tracy T. Batchelor, E. Antonio Chiocca, Richard G. Everson, Lisa Doherty, Jennifer Stefanik, Kathryn Partridge, Amanda Spearman, Alexa Myers, Catharina Westergaard, Alyssa Russ, Maria Lavallee, Anna Smokovich, Corey LaForest-Roys, Rachel Garcia Fox, Christine McCluskey, Wenya Linda Bi, Omar Arnaout, PierPaolo Peruzzi, G. Rees Cosgrove, Keith L. Ligon, Isabel Arrillaga-Romany, Jennifer L. Clarke, David A. Reardon, Timothy F. Cloughesy, Robert M. Prins, Patrick Y. Wen

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Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer’s disease by Colin Birkenbihl, Madison Cuppels, Rory T. Boyle, Hannah M. Klinger, Oliver Langford, Gillian T. Coughlan, Michael J. Properzi, Jasmeer Chhatwal, Julie C. Price, Aaron P. Schultz, Dorene M. Rentz, Rebecca E. Amariglio, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O’Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

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Long-term live-cell imaging of GFAP+ astroglia and laminin+ vessels in organotypic mouse brain slices using microcontact printing by Christian Humpel

“…Subsequently, slices are incubated with secondary fluorescent antibodies (green fluorescent Alexa-488 or red fluorescent Alexa-546) and visualized using an inverted fluorescence microscope. …”
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Fluorescence Lifetime Imaging System for in Vivo Studies by Moinuddin Hassan, Jason Riley, Victor Chernomordik, Paul Smith, Randall Pursley, Sang Bong Lee, Jacek Capala, Gandjbakhche Amir H

“…We chose a near-infrared contrast agent, Alexa Fluor 750 (Invitrogen Corp., Carlsbad, CA). …”
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O audiolivro e a inteligência artificial “leitora”: fronteiras intermidiais by Jaimeson Machado Garcia, Ana Cláudia Munari Domingos, Rejane Frozza

“…Quando essa “leitura”, no entanto, é feita por uma Inteligência Artificial, a exemplo da assistente virtual Alexa, ainda podemos compreender esse produto de mídia sonoro como um audiolivro? …”
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In Vivo Method to Monitor Changes in HER2 Expression Using Near-Infrared Fluorescence Imaging by Moinuddin Hassan, Victor Chernomordik, Rafal Zielinski, Yasaman Ardeshirpour, Jacek Capala, Amir Gandjbakhche

“…We used albumin binding domain–fused HER2-specific Affibody molecules, labeled with Alexa Fluor750 dye, to characterize HER2 expression in vivo. …”
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Near-Infrared Optical Imaging of Ovarian Cancer Xenografts with Novel α3-Integrin Binding Peptide “OA02” by Olulanu H. Aina, Jan Marik, Regina Gandour-Edwards, Kit S. Lam

“…The peptide probe displayed highly specific tumor uptake within 15 min, which lasted for 70 min for “OA02”-Cy5.5 and “OA02”-AlexaFluo 680 and for 24 hours for “OA02”-biotin-streptavidin-Cy5.5. …”
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Exploring artificial intelligence-powered virtual assistants to understand their potential to support older adults’ search needs by Emily M. Langston, Varitnan Hattakitjamroen, Mario Hernandez, Hye Soo Lee, Hannah Ç. Mason, Willencia Louis-Charles, Neil Charness, Sara J. Czaja, Wendy A. Rogers, Joseph Sharit, Walter R. Boot

“…However, it is unclear how accurate this information and these answers might be. Method: Alexa, Google Assistant, Bard, and ChatGPT-4 were queried. …”
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Research development and forecast of automatic speech recognition technologies by Haikun WANG, Jia PAN, Cong LIU

“…The purpose of automatic speech recognition (ASR) is to make the machine to be able to “understand” the human speech and transform it to readable text information.ASR is one of the key technologies of human machine interaction and also a hot research domain for a long time.In recent years,due to the application of deep neural networks,the use of big data and the popularity of cloud computing,ASR has made great progress and break through the threshold of application in many industries.More and more products with ASR have entered people’s daily life,such as Apple’s Siri,Amazon’s Alexa,IFLYTEK speech input method and Dingdong intelligent speaker and so on.The development status and key breakthrough technologies in recent years were introduced.Also,a forecast of ASR technologies’ trend of development was given.…”
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Internet naming and addressing system security technology and application analysis by Cui-cui WANG, Zhi-wei YAN, Guang-gang GENG

“…In order to ensure the security of domain name system and inter-domain routing system,Internet Engineering Task Force(IETF)proposed two kinds of security technology,namely domain name system security extention(DNSSEC)and resource public key infrastructure(RPKI).For the domain name system,DNSSEC added the digital signature to the original architecture of DNS using the public key infrastructure and it provided the authentication and integrity verification of DNS information,which became the anchor of domain name system security.For the inter-domain routing system,RPKI utilized the public key certificate to authenticate the ownership and usage rights of the Internet number resources and builds an Internet resource management system to enhance inter-domain routing security.Recently,the globally development of DNSSEC and RPKI were continuously expanding.In order to research the application of the two kinds of technology,Alexa top 1 million websites were taken as the data set to study and analyze the application status of DNSSEC and RPKI.…”
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Trade-offs in AI assistant choice: Do consumers prioritize transparency and sustainability over AI assistant performance? by Tomohiro Ioku, Jaehyun Song, Eiichiro Watamura

“…AI assistants such as Siri and Alexa, while helpful, can obscure decision-making and contribute to increased energy use and CO2 emissions. …”
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Account hijacking threat attack detection for OAuth2.0 authorization API by Qixu LIU, Kaili QIU, Yiwen WANG, Yanhui CHEN, Langping CHEN, Chaoge LIU

“…OAuth2.0 protocol has been widely adopted to simplify user login to third-party applications,at the same time,existing risk of leaking user privacy data,what even worse,causing user accounts to be hijacked.An account hijacking attack model around authorization code was built by analyzing the vulnerabilities of the OAuth2.0 protocol.A vulnerable API identification method based on differential traffic analysis and an account hijacking verification method based on authorized authentication traffic monitoring was proposed.An account hijacking attack threat detection framework OScan for OAuth2.0 authorization API was designed and implemented.Through a large-scale detection of the 3 853 authorization APIs deployed on the Alexa top 10 000 websites,360 vulnerable APIs were discovered.The further verification showed that 80 websites were found to have threat of account hijacking attack.Compared with similar tools,OScan has significant advantages in covering the number of identity provider,the number of detected relying party,as well as the integrity of risk detection.…”
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Effect of Fluorescent Particle Size on the Modulation Efficiency of Ultrasound-Modulated Fluorescence by Yuan Liu, Baohong Yuan, Joseph Vignola

“…To investigate whether the size of fluorescent particles affects the modulation efficiency of ultrasound-modulated fluorescence (UMF), we measured UMF and DC (direct current) signals of the fluorescence emission from four different-sized fluorescent particles: (1) three carboxylate-modified fluorescent microspheres (FM) with diameters of 20 nm, 200 nm, and 1.0 μm and (2) streptavidin-conjugated Alexa Fluor 647 with a diameter of approximately 5 nm. …”
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Toxicity of Organic Fluorophores Used in Molecular Imaging: Literature Review by Raphael Alford, Haley M. Simpson, Josh Duberman, G. Craig Hill, Mikako Ogawa, Celeste Regino, Hisataka Kobayashi, Peter L. Choyke

“…These fluorophores included Alexa Fluor 488 and 514, BODIPY FL, BODIPY R6G, Cy 5.5, Cy 7, cypate, fluorescein, indocyanine green, Oregon green, 8-phenyl BODIPY, rhodamine 110, rhodamine 6G, rhodamine X, rhodol, TAMRA, Texas red, and Tokyo green. …”
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Evaluating the readability, quality, and reliability of online information on sjogren's syndrome by Erkan Ozduran, Volkan Hanci

“…The Journal of American Medical Association (JAMA) score was used to assess the websites' reliability, the DISCERN score, the Health on the Net Foundation code of conduct (HONcode) was used to assess quality, and Alexa was used to analyze their popularity. Results: The results revealed that the mean FRES was 42.25 ± 17.11 (difficult), and the mean GFOG was 14.80 ± 3.56 years (very difficult). …”
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A deep learning‐based attack on text CAPTCHAs by using object detection techniques by Jiawei Nian, Ping Wang, Haichang Gao, Xiaoyan Guo

“…The experiments show that the attack can break a wide range of real‐world text CAPTCHAs deployed by the 50 most popular websites on Alexa.com and that the method achieves a high attack accuracy with only 2000 samples at an attack speed of less than 0.10 s. …”
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Voice Assistant Utilization among the Disability Community for Independent Living: A Rapid Review of Recent Evidence by Paola Esquivel, Kayden Gill, Mary Goldberg, S. Andrea Sundaram, Lindsey Morris, Dan Ding

“…Barriers to use mentioned in the literature included cognitive load during use, speech interpretation, lack of nonverbal control, and privacy concerns, while gray data reported limited functionality and speech interpretation as primary barriers. Amazon Alexa was the most discussed brand in both sources. …”
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