Zobrazeno 1 - 10
of 690
pro vyhledávání: '"Voetsch, A."'
Expander decompositions of graphs have significantly advanced the understanding of many classical graph problems and led to numerous fundamental theoretical results. However, their adoption in practice has been hindered due to their inherent intricac
Externí odkaz:
http://arxiv.org/abs/2406.14111
Clustering is a fundamental problem in unsupervised machine learning with many applications in data analysis. Popular clustering algorithms such as Lloyd's algorithm and $k$-means++ can take $\Omega(ndk)$ time when clustering $n$ points in a $d$-dime
Externí odkaz:
http://arxiv.org/abs/2310.16752
We introduce efficient $(1+\varepsilon)$-approximation algorithms for the binary matrix factorization (BMF) problem, where the inputs are a matrix $\mathbf{A}\in\{0,1\}^{n\times d}$, a rank parameter $k>0$, as well as an accuracy parameter $\varepsil
Externí odkaz:
http://arxiv.org/abs/2306.01869
Motivated by fairness requirements in communication networks, we introduce a natural variant of the online paging problem, called \textit{min-max} paging, where the objective is to minimize the maximum number of faults on any page. While the classica
Externí odkaz:
http://arxiv.org/abs/2212.03016
Autor:
Fellows, Ian E., Hladik, Wolfgang, Eaton, Jeffrey W., Voetsch, Andrew C., Parekh, Bharat S., Shiraishi, Ray W.
Estimating HIV-1 incidence using biomarker assays in cross-sectional surveys is important for understanding the HIV pandemic. However, the utility of these estimates has been limited by uncertainty about what input parameters to use for False Recency
Externí odkaz:
http://arxiv.org/abs/2204.00048
Autor:
Dustin W. Currie, Christine A. West, Hetal K. Patel, Jennifer Favaloro, Fred Asiimwe, Felix Ndagije, Rachel Silver, Owen Mugurungi, Judith Shang, Clement B. Ndongmo, Daniel B. Williams, Edington Dzinotyiweyi, Anthony Waruru, Munyaradzi Pasipamire, Harriet Nuwagaba-Biribonwoha, Sindisiwe Dlamini, Natasha McLeod, Eugenie Kayirangwa, Gallican Rwibasira, Peter A. Minchella, Andrew F. Auld, Rose Nyirenda, Yimam Getaneh, Ashenafi Haile Hailemariam, Isabelle Tondoh-Koui, Natacha Kohemun, George S. Mgomella, Prosper Faustine Njau, Wilford L. Kirungi, Ibrahim Dalhatu, Kristen A. Stafford, Stephane M. Bodika, Faith Ussery, Stephen McCracken, Paul Stupp, Kristin Brown, Yen T. Duong, Bharat S. Parekh, Andrew C. Voetsch
Publikováno v:
Emerging Infectious Diseases, Vol 29, Iss 11, Pp 2325-2334 (2023)
Identifying persons who have newly acquired HIV infections is critical for characterizing the HIV epidemic direction. We analyzed pooled data from nationally representative Population-Based HIV Impact Assessment surveys conducted across 14 countries
Externí odkaz:
https://doaj.org/article/0a15d03684834d9bb4e93f1a4d4a1bb2
Autor:
Melissa Metz, Vivian Hope Among, Tafadzwa Dzinamarira, Faith Ussery, Peter Nkurunziza, Janet Bahizi, Samuel Biraro, Francis M. Ogollah, Joshua Musinguzi, Wilford Kirungi, Mary Naluguza, Christina Mwangi, Sehin Birhanu, Lisa J. Nelson, Herbert Longwe, Frieda Sara Winterhalter, Andrew C. Voetsch, Bharat S. Parekh, Hetal K. Patel, Yen T. Duong, Rachel Bray, Shannon M. Farley
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 9, Iss 9, p 220 (2024)
During population-based HIV impact assessments (PHIAs), some participants who self-reported testing HIV-positive (PSRP) tested negative in one or more subsequent survey HIV tests. These unexpected discrepancies between their self-reported results and
Externí odkaz:
https://doaj.org/article/a2ace807049c4a1ebee2064d14539104
Autor:
Mine, Madisa, Stafford, Kristen A, Laws, Rebecca L, Marima, Reson, Lekone, Phenyo, Ramaabya, Dinah, Makhaola, Kgomotso, Patel, Hetal K, Mapondera, Prichard, Wray-Gordon, Floris, Agbakwuru, Chinedu, Okui, Lillian, Matroos, Susan, Onyadile, Eden, Ngidi, Julia, Abimiku, Alash'le, Bagapi, Khuteletso, Nkomo, Bornapate, Bodika, Stephane M, Kim, Kaylee J, Moloney, Mirna, Mitchell, Andrew, Ehoche, Akipu, Ussery, Faith L, Hong, Steven Y, Keipeile, Stella, Matlhaga, Matshelo, Mathumo, Rapetse, Selato, Robert, Charurat, Manhattan E, Voetsch, Andrew C *
Publikováno v:
In The Lancet HIV April 2024 11(4):e245-e254
Autor:
Olanrewaju Edun, Lucy Okell, Helen Chun, Anne-Cecile Z Bissek, Clement B Ndongmo, Judith D Shang, Hermann Brou, Eboi Ehui, Alexandre K Ekra, Harriet Nuwagaba-Biribonwoha, Sindisiwe S Dlamini, Choice Ginindza, Frehywot Eshetu, Yimam G Misganie, Sileshi Lulseged Desta, Thomas N O Achia, Appolonia Aoko, Sasi Jonnalagadda, Rose Wafula, Fred M Asiimwe, Shirley Lecher, Kondwani Nkanaunena, Mtemwa K Nyangulu, Rose Nyirenda, Anita Beukes, Johannes O Klemens, Negussie Taffa, Andrew A Abutu, Matthias Alagi, Man E Charurat, Ibrahim Dalhatu, Gambo Aliyu, Collins Kamanzi, Celestine Nyagatare, Gallican N Rwibasira, Mohamed F Jalloh, Werner M Maokola, George S Mgomella, Wilford L Kirungi, Christina Mwangi, Jennifer A Nel, Peter A Minchella, Gloria Gonese, Melodie A Nasr, Stephane Bodika, Elisabeth Mungai, Hetal K Patel, Katrina Sleeman, Kyle Milligan, Emilio Dirlikov, Andrew C Voetsch, Ray W Shiraishi, Jeffrey W Imai-Eaton
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 4, p e0003030 (2024)
As antiretroviral treatment (ART) coverage for people living with HIV (PLHIV) increases, HIV programmes require up-to-date information about evolving HIV risk behaviour and transmission risk, including those with low-level viremia (LLV; >50 to ≤100
Externí odkaz:
https://doaj.org/article/21a64de126384e1aa2b3ed1a185a66ba
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