Zobrazeno 1 - 10
of 2 674
pro vyhledávání: '"Aghakhani, A."'
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models
Stigma is a barrier to treatment for individuals struggling with substance use disorders (SUD), which leads to significantly lower treatment engagement rates. With only 7% of those affected receiving any form of help, societal stigma not only discour
Externí odkaz:
http://arxiv.org/abs/2408.07873
Autor:
Volpe, Giorgio, Araújo, Nuno A. M., Guix, Maria, Miodownik, Mark, Martin, Nicolas, Alvarez, Laura, Simmchen, Juliane, Di Leonardo, Roberto, Pellicciotta, Nicola, Martinet, Quentin, Palacci, Jérémie, Ng, Wai Kit, Saxena, Dhruv, Sapienza, Riccardo, Nadine, Sara, Mano, João F., Mahdavi, Reza, Adiels, Caroline Beck, Forth, Joe, Santangelo, Christian, Palagi, Stefano, Seok, Ji Min, Webster-Wood, Victoria A., Wang, Shuhong, Yao, Lining, Aghakhani, Amirreza, Barois, Thomas, Kellay, Hamid, Coulais, Corentin, van Hecke, Martin, Pierce, Christopher J., Wang, Tianyu, Chong, Baxi, Goldman, Daniel I., Reina, Andreagiovanni, Trianni, Vito, Volpe, Giovanni, Beckett, Richard, Nair, Sean P., Armstrong, Rachel
Humanity has long sought inspiration from nature to innovate materials and devices. As science advances, nature-inspired materials are becoming part of our lives. Animate materials, characterized by their activity, adaptability, and autonomy, emulate
Externí odkaz:
http://arxiv.org/abs/2407.10623
Online communities such as drug-related subreddits serve as safe spaces for people who use drugs (PWUD), fostering discussions on substance use experiences, harm reduction, and addiction recovery. Users' shared narratives on these forums provide insi
Externí odkaz:
http://arxiv.org/abs/2406.12117
Autor:
Zahra Abbasi-Malati, Parisa Khanicheragh, Maryam Taghavi Narmi, Narges Mardi, Nafiseh Didar Khosrowshahi, Amirataollah Hiradfar, Aysa Rezabakhsh, Fatemeh Sadeghsoltani, Somayyeh Rashidi, Sara Aghakhani Chegeni, Golbarg Roozbahani, Reza Rahbarghazi
Publikováno v:
Stem Cell Research & Therapy, Vol 15, Iss 1, Pp 1-30 (2024)
Abstract In recent years, biologists and clinicians have witnessed prominent advances in in vitro 3D culture techniques related to biomimetic human/animal tissue analogs. Numerous data have confirmed that unicellular and multicellular (tumoroids) tum
Externí odkaz:
https://doaj.org/article/3af897cb29eb4685bebda57b9c8ac6ce
Autor:
Sridhar, Varun, Yildiz, Erdost, Rodríguez-Camargo, Andrés, Lyu, Xianglong, Yao, Liang, Wrede, Paul, Aghakhani, Amirreza, Akolpoglu, Mukrime Birgul, Podjaski, Filip, Lotsch, Bettina V., Sitti, Metin
Even micromachines with tailored functionalities enable targeted therapeutic applications in biological environments, their controlled motion in biological media and drug delivery functions usually require sophisticated designs and complex propulsion
Externí odkaz:
http://arxiv.org/abs/2301.13787
Autor:
Aghakhani, Hojjat, Dai, Wei, Manoel, Andre, Fernandes, Xavier, Kharkar, Anant, Kruegel, Christopher, Vigna, Giovanni, Evans, David, Zorn, Ben, Sim, Robert
With tools like GitHub Copilot, automatic code suggestion is no longer a dream in software engineering. These tools, based on large language models, are typically trained on massive corpora of code mined from unvetted public sources. As a result, the
Externí odkaz:
http://arxiv.org/abs/2301.02344
Autor:
Seyed Ahmad Hosseini, Meysam Alipour, Sara Sarvandian, Neda Haghighat, Hadi Bazyar, Ladan Aghakhani
Publikováno v:
BMC Endocrine Disorders, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Research on Metabolic Associated Fatty Liver Disease (MAFLD) is still in its early stages, with few studies available to identify and predict effective indicators of this disease. On the other hand, early diagnosis and interventio
Externí odkaz:
https://doaj.org/article/25e79bfb664f463785256bd878c58788
Autor:
Zahra Karimi, Jaleh S. Malak, Amirhossein Aghakhani, Mohammad S. Najafi, Hamid Ariannejad, Hojjat Zeraati, Mir S. Yekaninejad
Publikováno v:
Health Science Reports, Vol 7, Iss 9, Pp n/a-n/a (2024)
Abstract Background & Aim Timely identification of the patients requiring intensive care unit admission (ICU) could be life‐saving. We aimed to compare different machine learning algorithms to predict the requirements for ICU admission in COVID‐1
Externí odkaz:
https://doaj.org/article/ece80f376d974a968815d5bc58b5f60f
Autor:
Zamani, Mohammad, Sohrabi, Zahra, Aghakhani, Ladan, Leilami, Kimia, Nosratabadi, Saeed, Namkhah, Zahra, Clark, Cain, Haghighat, Neda, Asbaghi, Omid, Fathi, Fatemeh
Publikováno v:
Nutrition & Food Science, 2024, Vol. 54, Issue 2, pp. 285-301.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/NFS-11-2022-0387
Autor:
Mohammad Amin Sari, Paridokht Karimian, Eshrat Beigom Kia, Mehdi Mohebali, Amirhossin Aghakhani, Enayat Darabi, Zohreh Fakhrieh Kashan
Publikováno v:
Iranian Journal of Parasitology, Vol 19, Iss 3 (2024)
Background: Strongyloides stercoralis is one of the soil-transmitted helminths (STH) in tropical and subtropical regions. The role of lipid profile has been investigated in the survival of larval stages of helminths, but there is limited information
Externí odkaz:
https://doaj.org/article/5be5a7fd919b42ed8bb80f18a675ffb2