7,164 results on '"P. Rubinstein"'
Search Results
102. Inpatient-level care at home delivered by virtual wards and hospital at home: a systematic review and meta-analysis of complex interventions and their components
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Shi, Chunhu, Dumville, Jo, Rubinstein, Fernando, Norman, Gill, Ullah, Akbar, Bashir, Saima, Bower, Peter, and Vardy, Emma R. L. C.
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- 2024
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103. Identifying structural risk factors for overdose following incarceration: a concept mapping study
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Nall, Samantha K., Jurecka, Cole, Ammons, Jr., Anthony, Rodriguez, Avel, Craft, Betsy, Waleed, Craig, Dias, Daniel, Henderson, Jessie, Boyer, Joshua, Yamkovoy, Kristina, Swathi, Pallavi Aytha, Patil, Prasad, Behne, Forrest, LeMasters, Katherine, Brinkley-Rubinstein, Lauren, and Barocas, Joshua A.
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- 2024
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104. Sexual dimorphism during integrative endocrine and immune responses to ionizing radiation in mice
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Burke, Marissa, Wong, Kelly, Talyansky, Yuli, Mhatre, Siddhita D., Mitchell, Carol, Juran, Cassandra M., Olson, Makaila, Iyer, Janani, Puukila, Stephanie, Tahimic, Candice G. T., Christenson, Lane K., Lowe, Moniece, Rubinstein, Linda, Shirazi-Fard, Yasaman, Sowa, Marianne B., Alwood, Joshua S., Ronca, April E., and Paul, Amber M.
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- 2024
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105. Correction: Engaging patients and parents to improve mental health intervention for youth with rheumatological disease
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Fawole, Oluwatunmise A., Reed, Michelle V., Harris, Julia G., Hersh, Aimee, Rodriguez, Martha, Onel, Karen, Lawson, Erica, Rubinstein, Tamar, Ardalan, Kaveh, Morgan, Esi, Paul, Anne, Barlin, Judy, Daly, R. Paola, Dave, Mitali, Malloy, Shannon, Hume, Shari, Schrandt, Suzanne, Marrow, Laura, Chapson, Angela, Napoli, Donna, Napoli, Michael, Moyer, Miranda, Delgaizo, Vincent, Danguecan, Ashley, von Scheven, Emily, and Knight, Andrea
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- 2024
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106. Implicit and explicit: a scoping review exploring the contribution of anthropological practice in implementation science
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Faro, Elissa Z., Taber, Peter, Seaman, Aaron T., Rubinstein, Ellen B., Fix, Gemmae M., Healy, Heather, and Reisinger, Heather Schacht
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- 2024
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107. Blood epigenome-wide association studies of suicide attempt in adults with bipolar disorder
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Mirza, Salahudeen, Lima, Camila N. C., Del Favero-Campbell, Alexandra, Rubinstein, Alexandre, Topolski, Natasha, Cabrera-Mendoza, Brenda, Kovács, Emese H. C., Blumberg, Hilary P., Richards, Jenny Gringer, Williams, Aislinn J., Wemmie, John A., Magnotta, Vincent A., Fiedorowicz, Jess G., Gaine, Marie E., Walss-Bass, Consuelo, Quevedo, Joao, Soares, Jair C., and Fries, Gabriel R.
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- 2024
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108. A patient activation intervention in primary care for patients with chronic pain on long term opioid therapy: results from a randomized control trial
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Does, Monique B., Adams, Sara R., Kline-Simon, Andrea H., Marino, Catherine, Charvat-Aguilar, Nancy, Weisner, Constance M., Rubinstein, Andrea L., Ghadiali, Murtuza, Cowan, Penney, Young-Wolff, Kelly C., and Campbell, Cynthia I.
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- 2024
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109. Patient-specific signaling signatures predict optimal therapeutic combinations for triple negative breast cancer
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Alkhatib, Heba, Conage-Pough, Jason, Roy Chowdhury, Sangita, Shian, Denen, Zaid, Deema, Rubinstein, Ariel M., Sonnenblick, Amir, Peretz-Yablonsky, Tamar, Granit, Avital, Carmon, Einat, Kohale, Ishwar N., Boughey, Judy C., Goetz, Matthew P., Wang, Liewei, White, Forest M., and Kravchenko-Balasha, Nataly
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- 2024
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110. Sodium-glucose co-transporter-2 inhibitors in patients treated with immune checkpoint inhibitors
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Perelman, Moran Gvili, Brzezinski, Rafael Y., Waissengrin, Barliz, Leshem, Yasmin, Bainhoren, Or, Rubinstein, Tammi Arbel, Perelman, Maxim, Rozenbaum, Zach, Havakuk, Ofer, Topilsky, Yan, Banai, Shmuel, Wolf, Ido, and Laufer-Perl, Michal
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- 2024
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111. Is the use of diagnostic imaging and the self-reported clinical management of low back pain patients influenced by the attitudes and beliefs of chiropractors? A survey of chiropractors in the Netherlands and Belgium
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van der Vossen, Brenda, de Zoete, Annemarie, Rubinstein, Sidney, Ostelo, Raymond, and de Boer, Michiel
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- 2024
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112. Differences in Plasma Extracellular Vesicles of Different Origin in On-Pump Versus Off-Pump Cardiac Surgery
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Arthur Aquino, Napisat Abutalimova, Yi Ma, Imran Ismail-zade, Vadim Grebennik, Artem Rubinstein, Igor Kudryavtsev, Ekatherina Zaikova, Darina Sambur, Alexander Marichev, Olga Kalinina, Andrey Bautin, Anna Kostareva, Jarle Vaage, and Alexey Golovkin
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extracellular vesicles ,coronary artery bypass grafting ,on-pump heart surgery ,off-pump heart surgery ,Biology (General) ,QH301-705.5 - Abstract
Coronary artery bypass grafting (CABG) using cardiopulmonary bypass (CPB) causes a systemic inflammatory response that can worsen patient outcomes. Off-pump surgery has been associated with a reduced inflammatory response. The precise mechanisms and the role of extracellular vesicles (EVs) in this context are not fully understood. This study aimed to investigate the early immune response, including main T- and B-lymphocyte subsets, cytokine profiles, and plasma EVs, in patients undergoing off-pump (n = 18) and on-pump (n = 18) CABG. Thirty-six patients undergoing isolated CABG were enrolled in this randomized control study. Pre- and 24 h postoperative blood samples were analyzed for immune cell populations, cytokine levels, and plasma EV phenotyping. Off-pump CABG triggered a milder immune response than on-pump surgery. On-pump surgery led to greater changes in circulating EVs, particularly platelet- (CD62P+), endothelial- (CD31+), and B-cell-derived (CD19+), as well as platelet- and erythrocyte-derived aggregates (CD41+CD235a+). Levels of platelet-derived EVs, expressing both constitutional and activation markers (CD41+CD62P+) decreased in both groups of patients 24 h after surgery. On-pump cardiac procedures led to an increase in T-regulatory cell-derived EVs (CD73+CD39+), suggesting a potential mechanism for immune suppression compared to off-pump surgery. There were numerous correlations between EV levels and cytokine profiles following on-pump surgery, hinting at a close relationship. Leucocyte-derived EVs exhibited positive correlations with each other and with GRO but showed negative correlations with endothelial-derived EVs (CD90+ and CD31+). Additionally, CD73+ EVs demonstrated positive correlations with platelet counts and with erythrocyte-derived CD235a+ EVs. EV changes were significantly greater after on-pump surgery, highlighting a more pronounced response to this type of surgery and emphasizing the role of EVs as regulators of post-surgical inflammation.
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- 2024
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113. Electromagnetic time reversal for online partial discharge location in power cables: Influence of interfering reflections from grid components
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Antonella Ragusa, Peter A. A. F. Wouters, Hugh Sasse, Alistair Duffy, Farhad Rachidi, and Marcos Rubinstein
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computational electromagnetics ,partial discharge measurement ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Abstract In online single‐sided partial discharge (PD) location, the measured PD reflection patterns are affected by the characteristics of all the components of the associated power network. This paper analyses the performance of a PD location method based on electromagnetic time reversal (EMTR) theory, when interfering reflections contribute to the transient signals emitted by the PD event. The topology analysed is formed from a ring main unit (RMU) in a medium voltage grid with mixed cross‐linked polyethylene and paper‐insulated lead‐covered (PILC) cable sections. The PD reflection patterns, observed at the RMU, are disturbed by the reflections coming from the impedance discontinuities of the circuit and by the reflections coming from the cable ends of the PILC cables connected to the RMU. The simulated configuration is chosen such that classical location techniques tend to fail due to overlapping peaks and other signal distortion. This is because the classic techniques are based on identifying individual reflection peaks from which the PD source can be determined via differences in time of arrival. The numerical investigation shows that the accuracy of the EMTR‐based location method is robust against these effects, achieving a PD localisation with an error less than the 0.1%. The results also show that the EMTR‐based method can localise PDs using a PD monitoring point located somewhere along the network and not necessarily at the line termination.
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- 2024
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114. Spatiotemporal energy‐density distribution of time‐reversed electromagnetic fields
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Elias Le Boudec, Hamidreza Karami, Nicolas Mora, Farhad Rachidi, Marcos Rubinstein, and Felix Vega
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electromagnetic compatibility ,microwave imaging ,reverberation chambers ,time‐domain analysis ,Electrical engineering. Electronics. Nuclear engineering ,TK1-9971 - Abstract
Abstract Time reversal exploits the invariance of electromagnetic wave propagation in reciprocal and lossless media to localize radiating sources. Time‐reversed measurements are back‐propagated in a simulated domain and converge to the unknown source location. The focusing time (i.e. the simulation instant at which the fields converge to the source location) and the source location can be identified using field maxima, entropy, time kurtosis, and space kurtosis. This paper analyses the spatial energy‐density distribution of time‐reversed electromagnetic fields by introducing a convergence metric based on the spatial average and variance of the energy density. It is analytically proven that the proposed metric identifies the focusing time and the source location, with direct links to the source frequency content. The analytical results are verified in a free‐space numerical simulation and the proposed metric is then compared to existing ones in a simulated inhomogeneous medium. Next, this metric is applied and compared in an experimental case study to localize electromagnetic interference sources. The proposed metric outperforms existing ones to identify the focusing time and can also be used to locate the source. Finally, because of its tensorial nature, it can handle anisotropic media, opening the door to quantitative analyses of time‐reversal focusing in metamaterials.
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- 2024
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115. Structure of a dimeric full-length ABC transporter
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Sarah C. Bickers, Samir Benlekbir, John L. Rubinstein, and Voula Kanelis
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Science - Abstract
Abstract Activities of ATP binding cassette (ABC) proteins are regulated by multiple mechanisms, including protein interactions, phosphorylation, proteolytic processing, and/or oligomerization of the ABC protein itself. Here we present the structure of yeast cadmium factor 1 (Ycf1p) in its mature form following cleavage by Pep4p protease. Ycf1p, a C subfamily ABC protein (ABCC), is homologue of human multidrug resistance protein 1. Remarkably, a portion of cleaved Ycf1p forms a well-ordered dimer, alongside monomeric particles also present in solution. While numerous other ABC proteins have been proposed to dimerize, no high-resolution structures have been reported. Both phosphorylation of the regulatory (R) region and ATPase activity are lower in the Ycf1p dimer compared to the monomer, indicating that dimerization affects Ycf1p function. The interface between Ycf1p protomers features protein-protein interactions and contains bound lipids, suggesting that lipids stabilize the dimer. The Ycf1p dimer structure may inform the dimerization interfaces of other ABCC dimers.
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- 2024
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116. Societal costs of older adults with low back pain seeking chiropractic care: findings from the BACE-C cohort study
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Esther T. Maas, Brenda L. van der Vossen, Johanna M. van Dongen, Alan D. Jenks, and Sidney M. Rubinstein
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Low back pain ,Older adults ,Societal costs ,Prediction ,Chiropractic ,RZ201-275 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background To describe the societal costs during one year of follow-up among older adults seeking chiropractic care due to a new episode of low back pain (LBP), and to determine what factors predict high societal costs in this population. Methods Prospective cohort study, within chiropractic private practices (n = 38) in the Netherlands. 223 people ≥ 55 years of age with a new episode of LBP seeking chiropractic care participated. The primary outcome was total societal costs. High societal costs were defined as patients with costs in the top 20th percentile. The final prediction models were obtained using forward selection. Results were presented for the total population and stratified for retirement status. The model’s prognostic accuracy (Hosmer–Lemeshow X2, Nagelkerke’s R2) and discriminative ability [area under the receiver operating curve (AUC)] were assessed, and the models were internally validated using bootstrapping. Results The mean total annual societal cost per patient was €5297 [95% confidence interval (CI): 4191–6403]. The biggest cost driver was presenteeism (65% of total costs), and costs were higher among non-retired participants (€7759; 95% CI 6047–9470) than retired participants (€1892; 95% CI 1088–2695). In the total population, younger age [odds ratio (OR): 0.87 for each additional year; 95% CI 0.80–0.95], being male instead of female (OR 2.96; 95% CI 1.19–7.44), less alcohol intake (OR 0.49; 95% CI 0.20–1.19), working instead of retirement (OR 9.37; 95% CI 1.83–48.04), and more disability at baseline (OR 1.08; 95% CI 1.00–1.16) were found to be predictive of high societal costs. Working was found to be the strongest predictor for high societal costs. After internal validation, the model’s fit was good, it’s explained variance was moderate (28%) and their AUCs could be interpreted as moderate (0.85). For non-pensioners, the same predictive factors were identified as for the entire population. The costs for the retired participants showed too little variation to be able to predict high costs. Conclusions This study estimated the mean total annual societal cost of older adults seeking chiropractic care due to a new episode of LBP at €5297 (95% CI 4191–6403).These costs were mainly due to high levels of presenteeism, and extensively differed based upon work status.
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- 2024
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117. The role of heparan sulfate in enhancing the chemotherapeutic response in triple-negative breast cancer
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Jasmine M. Manouchehri, Jharna Datta, Lynn M. Marcho, Jesse J. Reardon, Daniel Stover, Robert Wesolowski, Uma Borate, Ting-Yuan David Cheng, Patrick M. Schnell, Bhuvaneswari Ramaswamy, Gina M. Sizemore, Mark P. Rubinstein, and Mathew A. Cherian
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ATP ,Chemotherapy ,Heparanase ,Purinergic signaling ,Breast cancer ,Heparan sulfate ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Breast cancer, one of the most common forms of cancer, is associated with the highest cancer-related mortality among women worldwide. In comparison to other types of breast cancer, patients diagnosed with the triple-negative breast cancer (TNBC) subtype have the worst outcome because current therapies do not produce long-lasting responses. Hence, innovative therapies that produce persisting responses are a critical need. We previously discovered that hyperactivating purinergic receptors (P2RXs) by increasing extracellular adenosine triphosphate (eATP) concentrations enhances TNBC cell lines’ response to chemotherapy. Heparan sulfate inhibits multiple extracellular ATPases, so it is a molecule of interest in this regard. In turn, heparanase degrades polysulfated polysaccharide heparan sulfate. Importantly, previous work suggests that breast cancer and other cancers express heparanase at high levels. Hence, as heparan sulfate can inhibit extracellular ATPases to facilitate eATP accumulation, it may intensify responses to chemotherapy. We postulated that heparanase inhibitors would exacerbate chemotherapy-induced decreases in TNBC cell viability by increasing heparan sulfate in the cellular microenvironment and hence, augmenting eATP. Methods We treated TNBC cell lines MDA-MB 231, Hs 578t, and MDA-MB 468 and non-tumorigenic immortal mammary epithelial MCF-10A cells with paclitaxel (cytotoxic chemotherapeutic) with or without the heparanase inhibitor OGT 2115 and/or supplemental heparan sulfate. We evaluated cell viability and the release of eATP. Also, we compared the expression of heparanase protein in cell lines and tissues by immunoblot and immunohistochemistry, respectively. In addition, we examined breast-cancer-initiating cell populations using tumorsphere formation efficiency assays on treated cells. Results We found that combining heparanase inhibitor OGT 2115 with chemotherapy decreased TNBC cell viability and tumorsphere formation through increases in eATP and activation of purinergic receptors as compared to TNBC cells treated with single-agent paclitaxel. Conclusion Our data shows that by preventing heparan sulfate breakdown, heparanase inhibitors make TNBC cells more susceptible to chemotherapy by enhancing eATP concentrations.
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- 2024
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118. Ca+2 and Nε-lysine acetylation regulate the CALR-ATG9A interaction in the lumen of the endoplasmic reticulum
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Megan M. Braun, Brendan K. Sheehan, Samantha L. Shapiro, Yun Ding, C. Dustin Rubinstein, Brent P. Lehman, and Luigi Puglielli
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Proteostasis ,Reticulophagy ,Lysine acetylation ,Calcium ,Calreticulin ,ATG9A ,Medicine ,Science - Abstract
Abstract The acetylation of autophagy protein 9 A (ATG9A) in the lumen of the endoplasmic reticulum (ER) by ATase1 and ATase2 regulates the induction of reticulophagy. Analysis of the ER-specific ATG9A interactome identified calreticulin (CALR), an ER luminal Ca+2-binding chaperone, as key for ATG9A activity. Specifically, if acetylated, ATG9A is sequestered by CALR and prevented from engaging FAM134B and SEC62. Under this condition, ATG9A is unable to activate the autophagy core machinery. In contrast, when non-acetylated, ATG9A is released by CALR and able to engage FAM134B and SEC62. In this study, we report that Ca+2 dynamics across the ER membrane regulate the ATG9A-CALR interaction as well as the ability of ATG9A to trigger reticulophagy. We show that the Ca+2-binding sites situated on the C-domain of CALR are essential for the ATG9A-CALR interaction. Finally, we show that K359 and K363 on ATG9A can influence the ATG9A-CALR interaction. Collectively, our results disclose a previously unidentified aspect of the complex mechanisms that regulate ATG9A activity. They also offer a possible area of intersection between Ca+2 metabolism, acetyl-CoA metabolism, and ER proteostasis.
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- 2024
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119. Recurrent melanoma 25 years after initial diagnosis, presenting as metastatic disease early after heart transplantation
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Gal Rubinstein, Benjamin Izar, Diana E. McDonnell, Andrea Fernandez Valledor, Justin A. Fried, Kevin Clerkin, Edward F. Lin, Dor Lotan, Farhana Latif, Gabriel Sayer, Nir Uriel, and Jayant K. Raikhelkar
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Heart transplantation ,Malignant melanoma ,Dabrafenib ,Trametinib ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Cancer survivors (CS) comprise a particularly high-risk group for both de-novo and recurrent malignancies after solid organ transplantation. Case presentation We report a case of relapsed melanoma, presented as metastatic disease seven months after heart transplantation in a patient who had an early-stage melanoma resected 25 years prior. Treatment with a combination of dabrafenib, a BRAF inhibitor, and trametinib, a mitogen-activated protein kinase (MEK) inhibitor resulted in a near-complete metabolic response, without major adverse effects. Conclusion This case demonstrates the increased risk of recurrence in CS with melanoma, which can persist decades after cancer diagnosis. These patients may be amenable to treatment using modern treatment modalities in oncology.
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- 2024
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120. On Cayley algorithm for double partition
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Rubinstein, Boris
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Mathematics - Number Theory ,Mathematics - Combinatorics ,11P82 - Abstract
A double partition problem asks for a number of nonnegative integer solutions to a system of two linear Diophantine equations with integer coefficients. Artur Cayley suggested a reduction of a double partition to a sum of scalar partitions with an algorithm subject to a set of conditions. We show that when these conditions are not satisfied and the original algorithm fails its modification solves the reduction problem., Comment: 18 pages
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- 2023
121. RealFill: Reference-Driven Generation for Authentic Image Completion
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Tang, Luming, Ruiz, Nataniel, Chu, Qinghao, Li, Yuanzhen, Holynski, Aleksander, Jacobs, David E., Hariharan, Bharath, Pritch, Yael, Wadhwa, Neal, Aberman, Kfir, and Rubinstein, Michael
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Graphics ,Computer Science - Machine Learning - Abstract
Recent advances in generative imagery have brought forth outpainting and inpainting models that can produce high-quality, plausible image content in unknown regions. However, the content these models hallucinate is necessarily inauthentic, since they are unaware of the true scene. In this work, we propose RealFill, a novel generative approach for image completion that fills in missing regions of an image with the content that should have been there. RealFill is a generative inpainting model that is personalized using only a few reference images of a scene. These reference images do not have to be aligned with the target image, and can be taken with drastically varying viewpoints, lighting conditions, camera apertures, or image styles. Once personalized, RealFill is able to complete a target image with visually compelling contents that are faithful to the original scene. We evaluate RealFill on a new image completion benchmark that covers a set of diverse and challenging scenarios, and find that it outperforms existing approaches by a large margin. Project page: https://realfill.github.io, Comment: SIGGRAPH 2024 (Journal Track). Project page: https://realfill.github.io
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- 2023
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122. It's Simplex! Disaggregating Measures to Improve Certified Robustness
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Cullen, Andrew C., Montague, Paul, Liu, Shijie, Erfani, Sarah M., and Rubinstein, Benjamin I. P.
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Computer Science - Machine Learning ,Computer Science - Cryptography and Security - Abstract
Certified robustness circumvents the fragility of defences against adversarial attacks, by endowing model predictions with guarantees of class invariance for attacks up to a calculated size. While there is value in these certifications, the techniques through which we assess their performance do not present a proper accounting of their strengths and weaknesses, as their analysis has eschewed consideration of performance over individual samples in favour of aggregated measures. By considering the potential output space of certified models, this work presents two distinct approaches to improve the analysis of certification mechanisms, that allow for both dataset-independent and dataset-dependent measures of certification performance. Embracing such a perspective uncovers new certification approaches, which have the potential to more than double the achievable radius of certification, relative to current state-of-the-art. Empirical evaluation verifies that our new approach can certify $9\%$ more samples at noise scale $\sigma = 1$, with greater relative improvements observed as the difficulty of the predictive task increases., Comment: IEEE S&P 2024, IEEE Security & Privacy 2024, 14 pages
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- 2023
123. A constant factor approximation for Nash social welfare with subadditive valuations
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Dobzinski, Shahar, Li, Wenzheng, Rubinstein, Aviad, and Vondrak, Jan
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Computer Science - Computer Science and Game Theory ,Computer Science - Data Structures and Algorithms ,F.2.2 - Abstract
We present a constant-factor approximation algorithm for the Nash social welfare maximization problem with subadditive valuations accessible via demand queries. More generally, we propose a template for NSW optimization by solving a configuration-type LP and using a rounding procedure for (utilitarian) social welfare as a blackbox, which could be applicable to other variants of the problem.
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- 2023
124. Enhancing the Antidote: Improved Pointwise Certifications against Poisoning Attacks
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Liu, Shijie, Cullen, Andrew C., Montague, Paul, Erfani, Sarah M., and Rubinstein, Benjamin I. P.
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Computer Science - Machine Learning ,Computer Science - Cryptography and Security - Abstract
Poisoning attacks can disproportionately influence model behaviour by making small changes to the training corpus. While defences against specific poisoning attacks do exist, they in general do not provide any guarantees, leaving them potentially countered by novel attacks. In contrast, by examining worst-case behaviours Certified Defences make it possible to provide guarantees of the robustness of a sample against adversarial attacks modifying a finite number of training samples, known as pointwise certification. We achieve this by exploiting both Differential Privacy and the Sampled Gaussian Mechanism to ensure the invariance of prediction for each testing instance against finite numbers of poisoned examples. In doing so, our model provides guarantees of adversarial robustness that are more than twice as large as those provided by prior certifications.
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- 2023
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125. 3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields
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Feng, Brandon Y., Alzayer, Hadi, Rubinstein, Michael, Freeman, William T., and Huang, Jia-Bin
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Motion magnification helps us visualize subtle, imperceptible motion. However, prior methods only work for 2D videos captured with a fixed camera. We present a 3D motion magnification method that can magnify subtle motions from scenes captured by a moving camera, while supporting novel view rendering. We represent the scene with time-varying radiance fields and leverage the Eulerian principle for motion magnification to extract and amplify the variation of the embedding of a fixed point over time. We study and validate our proposed principle for 3D motion magnification using both implicit and tri-plane-based radiance fields as our underlying 3D scene representation. We evaluate the effectiveness of our method on both synthetic and real-world scenes captured under various camera setups., Comment: ICCV 2023. See the project page at https://3d-motion-magnification.github.io
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- 2023
126. HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
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Ruiz, Nataniel, Li, Yuanzhen, Jampani, Varun, Wei, Wei, Hou, Tingbo, Pritch, Yael, Wadhwa, Neal, Rubinstein, Michael, and Aberman, Kfir
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence ,Computer Science - Graphics ,Computer Science - Machine Learning - Abstract
Personalization has emerged as a prominent aspect within the field of generative AI, enabling the synthesis of individuals in diverse contexts and styles, while retaining high-fidelity to their identities. However, the process of personalization presents inherent challenges in terms of time and memory requirements. Fine-tuning each personalized model needs considerable GPU time investment, and storing a personalized model per subject can be demanding in terms of storage capacity. To overcome these challenges, we propose HyperDreamBooth - a hypernetwork capable of efficiently generating a small set of personalized weights from a single image of a person. By composing these weights into the diffusion model, coupled with fast finetuning, HyperDreamBooth can generate a person's face in various contexts and styles, with high subject details while also preserving the model's crucial knowledge of diverse styles and semantic modifications. Our method achieves personalization on faces in roughly 20 seconds, 25x faster than DreamBooth and 125x faster than Textual Inversion, using as few as one reference image, with the same quality and style diversity as DreamBooth. Also our method yields a model that is 10,000x smaller than a normal DreamBooth model. Project page: https://hyperdreambooth.github.io, Comment: project page: https://hyperdreambooth.github.io
- Published
- 2023
127. Do looks matter for an academic career in economics?
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Hale, Galina, Regev, Tali, and Rubinstein, Yona
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Economics ,Banking ,Finance and Investment ,Applied Economics ,Commerce ,Management ,Tourism and Services ,Behavioral and Social Science ,Basic Behavioral and Social Science ,Decent Work and Economic Growth ,Economic Theory ,Econometrics ,Banking ,finance and investment ,Applied economics - Published
- 2023
128. Fantastic Reality and Playfulness as a Means for Adaptive Emotion Regulation
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Rubinstein, Dori, Lahad, Mooli, Aharonson-Daniel, Limor, Mizrahi, David, Weinstock, Gilad, Tandler, Nancy, and Proyer, René T.
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- 2025
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129. Eventive modal projection: the case of Spanish subjunctive relative clauses
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Alonso-Ovalle, Luis, Menéndez-Benito, Paula, and Rubinstein, Aynat
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- 2024
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130. Nivolumab for mismatch-repair-deficient or hypermutated gynecologic cancers: a phase 2 trial with biomarker analyses
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Friedman, Claire F., Manning-Geist, Beryl L., Zhou, Qin, Soumerai, Tara, Holland, Aliya, Da Cruz Paula, Arnaud, Green, Hunter, Ozsoy, Melih Arda, Iasonos, Alexia, Hollmann, Travis, Leitao, Jr., Mario M., Mueller, Jennifer J., Makker, Vicky, Tew, William P., O’Cearbhaill, Roisin E., Liu, Ying L., Rubinstein, Maria M., Troso-Sandoval, Tiffany, Lichtman, Stuart M., Schram, Alison, Kyi, Chrisann, Grisham, Rachel N., Causa Andrieu, Pamela, Wherry, E. John, Aghajanian, Carol, Weigelt, Britta, Hensley, Martee L., and Zamarin, Dmitriy
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- 2024
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131. Prescription Opioid Dose Reductions and Potential Adverse Events: a Multi-site Observational Cohort Study in Diverse US Health Systems
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Metz, Verena E., Ray, G. Thomas, Palzes, Vanessa, Binswanger, Ingrid, Altschuler, Andrea, Karmali, Ruchir N., Ahmedani, Brian K., Andrade, Susan E., Boscarino, Joseph A., Clark, Robin E., Haller, Irina V., Hechter, Rulin C., Roblin, Douglas W., Sanchez, Katherine, Bailey, Steffani R., McCarty, Dennis, Stephens, Kari A., Rosa, Carmen L., Rubinstein, Andrea L., and Campbell, Cynthia I.
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- 2024
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132. Shell buckling for programmable metafluids
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Djellouli, Adel, Van Raemdonck, Bert, Wang, Yang, Yang, Yi, Caillaud, Anthony, Weitz, David, Rubinstein, Shmuel, Gorissen, Benjamin, and Bertoldi, Katia
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- 2024
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133. Propagation of extended fractures by local nucleation and rapid transverse expansion of crack-front distortion
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Cochard, T., Svetlizky, I., Albertini, G., Viesca, R. C., Rubinstein, S. M., Spaepen, F., Yuan, C., Denolle, M., Song, Y-Q., Xiao, L., and Weitz, D. A.
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- 2024
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134. Equivalency of PDM3700 and PDM3600 Dust Monitors
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Tuchman, Donald P., Mischler, Steven E., Cauda, Emanuele G., Colinet, Jay F., and Rubinstein, Elaine N.
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- 2024
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135. Background Prompting for Improved Object Depth
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Baradad, Manel, Li, Yuanzhen, Cole, Forrester, Rubinstein, Michael, Torralba, Antonio, Freeman, William T., and Jampani, Varun
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Estimating the depth of objects from a single image is a valuable task for many vision, robotics, and graphics applications. However, current methods often fail to produce accurate depth for objects in diverse scenes. In this work, we propose a simple yet effective Background Prompting strategy that adapts the input object image with a learned background. We learn the background prompts only using small-scale synthetic object datasets. To infer object depth on a real image, we place the segmented object into the learned background prompt and run off-the-shelf depth networks. Background Prompting helps the depth networks focus on the foreground object, as they are made invariant to background variations. Moreover, Background Prompting minimizes the domain gap between synthetic and real object images, leading to better sim2real generalization than simple finetuning. Results on multiple synthetic and real datasets demonstrate consistent improvements in real object depths for a variety of existing depth networks. Code and optimized background prompts can be found at: https://mbaradad.github.io/depth_prompt.
- Published
- 2023
136. ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections
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Yao, Chun-Han, Raj, Amit, Hung, Wei-Chih, Li, Yuanzhen, Rubinstein, Michael, Yang, Ming-Hsuan, and Jampani, Varun
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Estimating 3D articulated shapes like animal bodies from monocular images is inherently challenging due to the ambiguities of camera viewpoint, pose, texture, lighting, etc. We propose ARTIC3D, a self-supervised framework to reconstruct per-instance 3D shapes from a sparse image collection in-the-wild. Specifically, ARTIC3D is built upon a skeleton-based surface representation and is further guided by 2D diffusion priors from Stable Diffusion. First, we enhance the input images with occlusions/truncation via 2D diffusion to obtain cleaner mask estimates and semantic features. Second, we perform diffusion-guided 3D optimization to estimate shape and texture that are of high-fidelity and faithful to input images. We also propose a novel technique to calculate more stable image-level gradients via diffusion models compared to existing alternatives. Finally, we produce realistic animations by fine-tuning the rendered shape and texture under rigid part transformations. Extensive evaluations on multiple existing datasets as well as newly introduced noisy web image collections with occlusions and truncation demonstrate that ARTIC3D outputs are more robust to noisy images, higher quality in terms of shape and texture details, and more realistic when animated. Project page: https://chhankyao.github.io/artic3d/, Comment: Project page: https://chhankyao.github.io/artic3d/
- Published
- 2023
137. StyleDrop: Text-to-Image Generation in Any Style
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Sohn, Kihyuk, Ruiz, Nataniel, Lee, Kimin, Chin, Daniel Castro, Blok, Irina, Chang, Huiwen, Barber, Jarred, Jiang, Lu, Entis, Glenn, Li, Yuanzhen, Hao, Yuan, Essa, Irfan, Rubinstein, Michael, and Krishnan, Dilip
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Artificial Intelligence - Abstract
Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts. However, ambiguities inherent in natural language and out-of-distribution effects make it hard to synthesize image styles, that leverage a specific design pattern, texture or material. In this paper, we introduce StyleDrop, a method that enables the synthesis of images that faithfully follow a specific style using a text-to-image model. The proposed method is extremely versatile and captures nuances and details of a user-provided style, such as color schemes, shading, design patterns, and local and global effects. It efficiently learns a new style by fine-tuning very few trainable parameters (less than $1\%$ of total model parameters) and improving the quality via iterative training with either human or automated feedback. Better yet, StyleDrop is able to deliver impressive results even when the user supplies only a single image that specifies the desired style. An extensive study shows that, for the task of style tuning text-to-image models, StyleDrop implemented on Muse convincingly outperforms other methods, including DreamBooth and textual inversion on Imagen or Stable Diffusion. More results are available at our project website: https://styledrop.github.io, Comment: Preprint. Project page at https://styledrop.github.io
- Published
- 2023
138. IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks
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He, Xuanli, Wang, Jun, Rubinstein, Benjamin, and Cohn, Trevor
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Computer Science - Computation and Language - Abstract
Backdoor attacks are an insidious security threat against machine learning models. Adversaries can manipulate the predictions of compromised models by inserting triggers into the training phase. Various backdoor attacks have been devised which can achieve nearly perfect attack success without affecting model predictions for clean inputs. Means of mitigating such vulnerabilities are underdeveloped, especially in natural language processing. To fill this gap, we introduce IMBERT, which uses either gradients or self-attention scores derived from victim models to self-defend against backdoor attacks at inference time. Our empirical studies demonstrate that IMBERT can effectively identify up to 98.5% of inserted triggers. Thus, it significantly reduces the attack success rate while attaining competitive accuracy on the clean dataset across widespread insertion-based attacks compared to two baselines. Finally, we show that our approach is model-agnostic, and can be easily ported to several pre-trained transformer models., Comment: accepted to Third Workshop on Trustworthy Natural Language Processing
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- 2023
139. Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
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He, Xuanli, Xu, Qiongkai, Wang, Jun, Rubinstein, Benjamin, and Cohn, Trevor
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Computer Science - Computation and Language ,Computer Science - Cryptography and Security - Abstract
Modern NLP models are often trained over large untrusted datasets, raising the potential for a malicious adversary to compromise model behaviour. For instance, backdoors can be implanted through crafting training instances with a specific textual trigger and a target label. This paper posits that backdoor poisoning attacks exhibit \emph{spurious correlation} between simple text features and classification labels, and accordingly, proposes methods for mitigating spurious correlation as means of defence. Our empirical study reveals that the malicious triggers are highly correlated to their target labels; therefore such correlations are extremely distinguishable compared to those scores of benign features, and can be used to filter out potentially problematic instances. Compared with several existing defences, our defence method significantly reduces attack success rates across backdoor attacks, and in the case of insertion-based attacks, our method provides a near-perfect defence., Comment: accepted to EMNLP2023 (main conference)
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- 2023
140. Practical algorithms and experimentally validated incentives for equilibrium-based fair division (A-CEEI)
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Budish, Eric, Gao, Ruiquan, Othman, Abraham, Rubinstein, Aviad, and Zhang, Qianfan
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Computer Science - Computer Science and Game Theory ,Economics - General Economics - Abstract
Approximate Competitive Equilibrium from Equal Incomes (A-CEEI) is an equilibrium-based solution concept for fair division of discrete items to agents with combinatorial demands. In theory, it is known that in asymptotically large markets: 1. For incentives, the A-CEEI mechanism is Envy-Free-but-for-Tie-Breaking (EF-TB), which implies that it is Strategyproof-in-the-Large (SP-L). 2. From a computational perspective, computing the equilibrium solution is unfortunately a computationally intractable problem (in the worst-case, assuming $\textsf{PPAD}\ne \textsf{FP}$). We develop a new heuristic algorithm that outperforms the previous state-of-the-art by multiple orders of magnitude. This new, faster algorithm lets us perform experiments on real-world inputs for the first time. We discover that with real-world preferences, even in a realistic implementation that satisfies the EF-TB and SP-L properties, agents may have surprisingly simple and plausible deviations from truthful reporting of preferences. To this end, we propose a novel strengthening of EF-TB, which dramatically reduces the potential for strategic deviations from truthful reporting in our experiments. A (variant of) our algorithm is now in production: on real course allocation problems it is much faster, has zero clearing error, and has stronger incentive properties than the prior state-of-the-art implementation., Comment: To appear in EC 2023
- Published
- 2023
141. Improved Upper and Lower Bounds on the Capacity of the Binary Deletion Channel
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Rubinstein, Ittai and Con, Roni
- Subjects
Computer Science - Information Theory ,94B65 ,E.4 - Abstract
The {\em binary deletion channel} with deletion probability $d$ ($\text{BDC}_d$) is a random channel that deletes each bit of the input message i.i.d with probability $d$. It has been studied extensively as a canonical example of a channel with synchronization errors. Perhaps the most important question regarding the BDC is determining its capacity. Mitzenmacher and Drinea (ITIT 2006) and Kirsch and Drinea (ITIT 2009) show a method by which distributions on run lengths can be converted to codes for the BDC, yielding a lower bound of $\mathcal{C}(\text{BDC}_d) > 0.1185 \cdot (1-d)$. Fertonani and Duman (ITIT 2010), Dalai (ISIT 2011) and Rahmati and Duman (ITIT 2014) use computer aided analyses based on the Blahut-Arimoto algorithm to prove an upper bound of $\mathcal{C}(\text{BDC}_d) < 0.4143\cdot(1-d)$ in the high deletion probability regime ($d > 0.65$). In this paper, we show that the Blahut-Arimoto algorithm can be implemented with a lower space complexity, allowing us to extend the upper bound analyses, and prove an upper bound of $\mathcal{C}(\text{BDC}_d) < 0.3745 \cdot(1-d)$ for all $d \geq 0.68$. Furthermore, we show that an extension of the Blahut-Arimoto algorithm can also be used to select better run length distributions for Mitzenmacher and Drinea's construction, yielding a lower bound of $\mathcal{C}(\text{BDC}_d) > 0.1221 \cdot (1 - d)$.
- Published
- 2023
142. $L^p$-polarity, Mahler volumes, and the isotropic constant
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Berndtsson, Bo, Mastrantonis, Vlassis, and Rubinstein, Yanir A.
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Mathematics - Functional Analysis ,Mathematics - Complex Variables - Abstract
This article introduces $L^p$ versions of the support function of a convex body $K$ and associates to these canonical $L^p$-polar bodies $K^{\circ, p}$ and Mahler volumes $\mathcal{M}_p(K)$. Classical polarity is then seen as $L^\infty$-polarity. This one-parameter generalization of polarity leads to a generalization of the Mahler conjectures, with a subtle advantage over the original conjecture: conjectural uniqueness of extremizers for each $p\in(0,\infty)$. We settle the upper bound by demonstrating the existence and uniqueness of an $L^p$-Santal\'o point and an $L^p$-Santal\'o inequality for symmetric convex bodies. The proof uses Ball's Brunn--Minkowski inequality for harmonic means, the classical Brunn--Minkowski inequality, symmetrization, and a systematic study of the $\mathcal{M}_p$ functionals. Using our results on the $L^p$-Santal\'o point and a new observation motivated by complex geometry, we show how Bourgain's slicing conjecture can be reduced to lower bounds on the $L^p$-Mahler volume coupled with a certain conjectural convexity property of the logarithm of the Monge--Amp\`ere measure of the $L^p$-support function. We derive a suboptimal version of this convexity using Kobayashi's theorem on the Ricci curvature of Bergman metrics to illustrate this approach to slicing. Finally, we explain how Nazarov's complex analytic approach to the classical Mahler conjecture is instead precisely an approach to the $L^1$-Mahler conjecture.
- Published
- 2023
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143. Score-Based Diffusion Models as Principled Priors for Inverse Imaging
- Author
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Feng, Berthy T., Smith, Jamie, Rubinstein, Michael, Chang, Huiwen, Bouman, Katherine L., and Freeman, William T.
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Computer Science - Computer Vision and Pattern Recognition - Abstract
Priors are essential for reconstructing images from noisy and/or incomplete measurements. The choice of the prior determines both the quality and uncertainty of recovered images. We propose turning score-based diffusion models into principled image priors ("score-based priors") for analyzing a posterior of images given measurements. Previously, probabilistic priors were limited to handcrafted regularizers and simple distributions. In this work, we empirically validate the theoretically-proven probability function of a score-based diffusion model. We show how to sample from resulting posteriors by using this probability function for variational inference. Our results, including experiments on denoising, deblurring, and interferometric imaging, suggest that score-based priors enable principled inference with a sophisticated, data-driven image prior., Comment: ICCV 2023
- Published
- 2023
144. Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes
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Rubinstein, J. Hyam and Rubinstein, Benjamin I. P.
- Subjects
Computer Science - Machine Learning ,Computer Science - Discrete Mathematics - Abstract
The sample compressibility of concept classes plays an important role in learning theory, as a sufficient condition for PAC learnability, and more recently as an avenue for robust generalisation in adaptive data analysis. Whether compression schemes of size $O(d)$ must necessarily exist for all classes of VC dimension $d$ is unknown, but conjectured to be true by Warmuth. Recently Chalopin, Chepoi, Moran, and Warmuth (2018) gave a beautiful unlabelled sample compression scheme of size VC dimension for all maximum classes: classes that meet the Sauer-Shelah-Perles Lemma with equality. They also offered a counterexample to compression schemes based on a promising approach known as corner peeling. In this paper we simplify and extend their proof technique to deal with so-called extremal classes of VC dimension $d$ which contain maximum classes of VC dimension $d-1$. A criterion is given which would imply that all extremal classes admit unlabelled compression schemes of size $d$. We also prove that all intersection-closed classes with VC dimension $d$ admit unlabelled compression schemes of size at most $11d$., Comment: Appearing at NeurIPS2022
- Published
- 2022
145. Electron transfer in the respiratory chain at low salinity
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Ana Paula Lobez, Fei Wu, Justin M. Di Trani, John L. Rubinstein, Mikael Oliveberg, Peter Brzezinski, and Agnes Moe
- Subjects
Science - Abstract
Abstract Recent studies have established that cellular electrostatic interactions are more influential than assumed previously. Here, we use cryo-EM and perform steady-state kinetic studies to investigate electrostatic interactions between cytochrome (cyt.) c and the complex (C) III2-IV supercomplex from Saccharomyces cerevisiae at low salinity. The kinetic studies show a sharp transition with a Hill coefficient ≥2, which together with the cryo-EM data at 2.4 Å resolution indicate multiple cyt. c molecules bound along the supercomplex surface. Negatively charged loops of CIII2 subunits Qcr6 and Qcr9 become structured to interact with cyt. c. In addition, the higher resolution allows us to identify water molecules in proton pathways of CIV and, to the best of our knowledge, previously unresolved cardiolipin molecules. In conclusion, the lowered electrostatic screening renders engagement of multiple cyt. c molecules that are directed by electrostatically structured CIII2 loops to conduct electron transfer between CIII2 and CIV.
- Published
- 2024
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146. Association of same-day urinary phenol levels and cardiac electrical alterations: analysis of the Fernald Community Cohort
- Author
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Jack Rubinstein, Susan M. Pinney, Changchun Xie, and Hong-Sheng Wang
- Subjects
Environmental chemicals ,Phenol ,Bisphenol ,Human population ,Heart electrical properties ,Industrial medicine. Industrial hygiene ,RC963-969 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Exposure to phenols has been linked in animal models and human populations to cardiac function alterations and cardiovascular diseases, although their effects on cardiac electrical properties in humans remains to be established. This study aimed to identify changes in electrocardiographic (ECG) parameters associated with environmental phenol exposure in adults of a midwestern large cohort known as the Fernald Community Cohort (FCC). Methods During the day of the first comprehensive medical examination, urine samples were obtained, and electrocardiograms were recorded. Cross-sectional linear regression analyses were performed. Results Bisphenol A (BPA) and bisphenol F (BPF) were both associated with a longer PR interval, an indication of delayed atrial-to-ventricle conduction, in females (p
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- 2024
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147. Development, validation and use of custom software for the analysis of pain trajectories
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M. R. van Ittersum, A. de Zoete, S. M. Rubinstein, H. Al-Madfai, A. Kongsted, and P. McCarthy
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Medicine ,Science - Abstract
Abstract In chronic musculoskeletal conditions, the prognosis tends to be more informative than the diagnosis for the future course of the disease. Many studies have identified clusters of patients who seemingly share similar pain trajectories. In a dataset of low back pain (LBP) patients, pain trajectories have been identified, and distinct trajectory types have been defined, making it possible to create pattern recognition software that can classify patients into respective pain trajectories reflecting their condition. It has been suggested that the classification of pain trajectories may create clinically meaningful subgroups of patients in an otherwise heterogeneous population of patients with LBP. A software tool was created that combined the ability to recognise the pain trajectory of patients with a system that could create subgroups of patients based on their characteristics. This tool is primarily meant for researchers to analyse trends in large heterogeneous datasets without large losses of data. Prospective analysis of pain trajectories is not directly helpful for clinicians. However, the tool might aid in the identification of patient characteristics which have predictive capabilities of the most likely trajectory a patient might experience in the future. This will help clinicians to tailor their advice and treatment for a specific patient.
- Published
- 2024
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148. Neighborhood-level deprivation and survival in lung cancer
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Kathleen Kennedy, Ignacio Jusue-Torres, Ian D. Buller, Emily Rossi, Apurva Mallisetty, Kristen Rodgers, Beverly Lee, Martha Menchaca, Mary Pasquinelli, Ryan H. Nguyen, Frank Weinberg, Israel Rubinstein, James G. Herman, Malcolm Brock, Lawrence Feldman, Melinda C. Aldrich, and Alicia Hulbert
- Subjects
Lung cancer ,Neighborhood-level deprivation ,Disparities ,Epigenetic ,DNA methylation ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Despite recent advances in lung cancer therapeutics and improving overall survival, disparities persist among socially disadvantaged populations. This study aims to determine the effects of neighborhood deprivation indices (NDI) on lung cancer mortality. This is a multicenter retrospective cohort study assessing the relationship between NDI and overall survival adjusted for age, disease stage, and DNA methylation among biopsy-proven lung cancer patients. State-specific NDI for each year of sample collection were computed at the U.S. census tract level and dichotomized into low- and high-deprivation. Results A total of 173 non small lung cancer patients were included, with n = 85 (49%) and n = 88 (51%) in the low and high-deprivation groups, respectively. NDI was significantly higher among Black patients when compared with White patients (p = 0.003). There was a significant correlation between DNA methylation and stage for HOXA7, SOX17, ZFP42, HOXA9, CDO1 and TAC1. Only HOXA7 DNA methylation was positively correlated with NDI. The high-deprivation group had a statistically significant shorter survival than the low-deprivation group (p = 0.02). After adjusting for age, race, stage, and DNA methylation status, belonging to the high-deprivation group was associated with higher mortality with a hazard ratio of 1.81 (95%CI: 1.03–3.19). Conclusions Increased neighborhood-level deprivation may be associated with liquid biopsy DNA methylation, shorter survival, and increased mortality. Changes in health care policies that consider neighborhood-level indices of socioeconomic deprivation may enable a more equitable increase in lung cancer survival.
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- 2024
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149. New horizons in criminal legal data: creating a comprehensive archive
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Katherine LeMasters, Erin McCauley, and Lauren Brinkley-Rubinstein
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Criminal legal data ,Health equity ,Data archive ,Public aspects of medicine ,RA1-1270 ,Social pathology. Social and public welfare. Criminology ,HV1-9960 - Abstract
Abstract While criminal legal involvement is a structural determinant of health, both administrative and national longitudinal cohort data are collected and made available in a way that prevents a full understanding of this relationship. Administrative data are both collected and overseen by the same entity and are incomplete, delayed, and/or uninterpretable. Cohort data often only ask these questions to the most vulnerable, and do not include all types of criminal legal involvement, when this involvement occurs in someone’s life, or family and community involvement. To achieve a more optimized data landscape and to facilitate population-level research on criminal legal involvement and health, (1) individual administrative level data must be made available and able to be linked across carceral systems, (2) a national data archive must be made to maintain and make criminal legal data available to researchers, and (3) a nationally representative, longitudinal study focused on those with criminal legal involvement is necessary. By beginning to critically think about how future data could be collated and collected, we can begin to provide more robust evidence around how the criminal legal system impacts the health of our society and, in turn, create policy reform.
- Published
- 2024
- Full Text
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150. Democracy and Reform in Public Schools: The Case for Collaborative Partnerships
- Author
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Rubinstein, Saul, Heckscher, Charles, McCarthy, John, Rubinstein, Saul, Heckscher, Charles, and McCarthy, John
- Abstract
In "Democracy and Reform in Public Schools," Saul Rubinstein, Charles Heckscher, and John McCarthy apply their expertise in labor relations to public school reform. They envision a model of K-12 education that shifts away from the tenets of neoliberalism and centers on productive collaboration among school boards, school administrators, teacher unions, and other education stakeholders. Providing evidence of the links between collaborative partnerships and improved student outcomes, Rubinstein, Heckscher, and McCarthy build on a rich body of research on interorganizational cooperation. They highlight case studies such as that of the New Jersey Public School Labor-Management Collaborative as leading examples of how better student performance, more intra-district learning and innovation, and reduced teacher turnover can be traced to greater educator collaboration. Citing examples not only from the K-12 educational sector but also from successful union-management partnerships in the automobile, steel, and telecommunications industries, they then identify proven strategies to foster collaborative partnerships at district, state, and national levels. They discuss techniques for forging new partnerships, sustaining collaborative efforts, and expanding the collaborative partnership model to larger scales. This work expertly demonstrates how employment relations practices are antecedents to whole-system reform in schools.
- Published
- 2023
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