Author: "Draper, David" - Searchworks@Jio Institute Digital Library Search Results

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1. 3 Magmatic Evolution I: Initial Differentiation of the Moon

Author: Gaffney, Amy M., primary, Gross, Juliane, additional, Borg, Lars E., additional, Donaldson Hanna, Kerri L., additional, Draper, David S., additional, Dygert, Nick, additional, Elkins-Tanton, Lindy T., additional, Prissel, Kelsey B., additional, Prissel, Tabb C., additional, Steenstra, Edgar S., additional, and Westrenen, Wim van, additional
Published: 2024
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2. PURSUING PERFORMANCE: STAG ARMS PLANTS A FLAG IN THE BOLT-ACTION GAME

Author: Draper, David
Subjects: Weapons industry, Hunting rifles, Action game, Sports and fitness, Travel, recreation and leisure
Abstract: LESS THAN A DECADE AGO .THE BIG-GAME RIFLE BUSINESS WAS IN A RACE FOR IHE BOTTOM. EVERY MAJOR GUN MANUFACTURER WAS TRYING TO INTRODUCE IRE IOWEST-PRICED RIFLE IT COULD. AND [...]
Published: 2024

3. A TESTED TOUGH TURKEY KILLER: MOSSBERG'S 940 PRO GETS A GOBBLER-GETTING MAKEOVER

Author: Draper, David
Subjects: Shotguns, Firearms industry, Sports and fitness, Travel, recreation and leisure
Abstract: WHEN MOSSBERG RELEASED THE 940 PRO WATERFOWL SHOTGUN A FEW YEARS AGO, PETERSEN'S HUNTING WAS ONE OF THE FIRST OUTLETS TO GIVE A TRUE IN-THE-FIELD REVIEW. Contributor Sam Forbes put [...]
Published: 2024

4. A FINE-FITTING RIFLE: BROWNING UPGRADES THEIR FIELD-PROVEN X-BOLT FOR 2024

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: NOT SO LONG AGO THERE WASN'T MUCH TALK ABOUT HOW A RIFLE FIT. YOU MIGHT PICK ONE OFF THE SHELF, SHOULDER II AND SAY: 'IHIS PEELS PRETTY GOOD.' HONESTLY, PRETTY [...]
Published: 2024

5. Varmint Hunting Vibes: CVA's Cascade VH blends classic and modern to achieve affordable accuracy

Author: Draper, David
Subjects: Hunting rifles, Sports and fitness, Travel, recreation and leisure
Abstract: For the past few years, gun manufacturers have been chasing two divergent trends. They're either making ultra-lightweight mountain rifles for high-country hunters or heavy platform guns with futuristic designs for [...]
Published: 2024

6. Discussion of Martingale Posterior Distributions by E. Fong, C. Holmes, and S. G. Walker

Author: Draper, David and Guo, Erdong
Subjects: Statistics - Methodology
Abstract: In this discussion note, we respond to the fascinating paper "Martingale Posterior Distributions" by E. Fong, C. Holmes, and S. G. Walker with a couple of comments. On the basis of previous research, a theorem is stated regarding the relationship between frequentist bootstrap and stick-breaking process., Comment: 2 pages. A written contribution to the RSS discussion meeting for JRSS-B
Published: 2023

7. Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks

Author: Guo, Erdong, Draper, David, and De Iorio, Maria
Subjects: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract: Model calibration, which is concerned with how frequently the model predicts correctly, not only plays a vital part in statistical model design, but also has substantial practical applications, such as optimal decision-making in the real world. However, it has been discovered that modern deep neural networks are generally poorly calibrated due to the overestimation (or underestimation) of predictive confidence, which is closely related to overfitting. In this paper, we propose Annealing Double-Head, a simple-to-implement but highly effective architecture for calibrating the DNN during training. To be precise, we construct an additional calibration head-a shallow neural network that typically has one latent layer-on top of the last latent layer in the normal model to map the logits to the aligned confidence. Furthermore, a simple Annealing technique that dynamically scales the logits by calibration head in training procedure is developed to improve its performance. Under both the in-distribution and distributional shift circumstances, we exhaustively evaluate our Annealing Double-Head architecture on multiple pairs of contemporary DNN architectures and vision and speech datasets. We demonstrate that our method achieves state-of-the-art model calibration performance without post-processing while simultaneously providing comparable predictive accuracy in comparison to other recently proposed calibration methods on a range of learning tasks., Comment: Revised Preprint. 19 pages, 10 figures, 4 tables. Typos fixed, and references added
Published: 2022

8. Neural Tangent Kernel of Matrix Product States: Convergence and Applications

Author: Guo, Erdong and Draper, David
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Quantum Physics
Abstract: In this work, we study the Neural Tangent Kernel (NTK) of Matrix Product States (MPS) and the convergence of its NTK in the infinite bond dimensional limit. We prove that the NTK of MPS asymptotically converges to a constant matrix during the gradient descent (training) process (and also the initialization phase) as the bond dimensions of MPS go to infinity by the observation that the variation of the tensors in MPS asymptotically goes to zero during training in the infinite limit. By showing the positive-definiteness of the NTK of MPS, the convergence of MPS during the training in the function space (space of functions represented by MPS) is guaranteed without any extra assumptions of the data set. We then consider the settings of (supervised) Regression with Mean Square Error (RMSE) and (unsupervised) Born Machines (BM) and analyze their dynamics in the infinite bond dimensional limit. The ordinary differential equations (ODEs) which describe the dynamics of the responses of MPS in the RMSE and BM are derived and solved in the closed-form. For the Regression, we consider Mercer Kernels (Gaussian Kernels) and find that the evolution of the mean of the responses of MPS follows the largest eigenvalue of the NTK. Due to the orthogonality of the kernel functions in BM, the evolution of different modes (samples) decouples and the "characteristic time" of convergence in training is obtained., Comment: 19 pages, 1 figure
Published: 2021

9. A Simple Necessary Condition For Independence of Real-Valued Random Variables

Author: Draper, David, Guo, Erdong, Lund, Robert, and Woody, Jon
Subjects: Mathematics - Probability, Mathematics - Statistics Theory, Statistics - Applications, Statistics - Methodology
Abstract: The standard method to check for the independence of two real-valued random variables -- demonstrating that the bivariate joint distribution factors into the product of its marginals -- is both necessary and sufficient. Here we present a simple necessary condition based on the support sets of the random variables, which -- if not satisfied -- avoids the need to extract the marginals from the joint in demonstrating dependence. We review, in an accessible manner, the measure-theoretic, topological, and probabilistic details necessary to establish the background for the old and new ideas presented here. We prove our result in both the discrete case (where the basic ideas emerge in a simple setting), the continuous case (where serious complications emerge), and for general real-valued random variables, and we illustrate the use of our condition in three simple examples., Comment: 25 pages, 5 figures
Published: 2021

10. The Practical Scope of the Central Limit Theorem

Author: Draper, David and Guo, Erdong
Subjects: Statistics - Other Statistics, Mathematics - Statistics Theory, Statistics - Applications, Statistics - Methodology
Abstract: The \textit{Central Limit Theorem (CLT)} is at the heart of a great deal of applied problem-solving in statistics and data science, but the theorem is silent on an important implementation issue: \textit{how much data do you need for the CLT to give accurate answers to practical questions?} Here we examine several approaches to addressing this issue -- along the way reviewing the history of this problem over the last 290 years -- and we illustrate the calculations with case-studies from finite-population sampling and gambling. A variety of surprises emerge., Comment: 47 pages, 17 figures
Published: 2021

11. Clinical application of a scale to assess genomic healthcare empowerment (GEmS): Process and illustrative case examples

Author: McConkie‐Rosell, Allyn, Schoch, Kelly, Sullivan, Jennifer, Spillmann, Rebecca C, Cope, Heidi, Tan, Queenie K‐G, Palmer, Christina GS, Hooper, Stephen R, Shashi, Vandana, Acosta, Maria T, Adam, Margaret, Adams, David R, Agrawal, Pankaj B, Alejandro, Mercedes E, Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A, Azamian, Mahshid S, Bacino, Carlos A, Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak‐Toydemir, Pinar, Beck, Anita, Beggs, Alan H, Behrens, Edward, Bejerano, Gill, Bennet, Jimmy, Berg‐Rood, Beverly, Bernstein, Jonathan A, Berry, Gerard T, Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonnenmann, Carsten, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C, Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A, Burrage, Lindsay C, Butte, Manish J, Byers, Peter, Byrd, William E, Carey, John, Carrasquillo, Olveen, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, Hsiao‐Tuan, Clark, Gary D, Coakley, Terra R, Cobban, Laurel A, Cogan, Joy D, Coggins, Matthew, Sessions Cole, F, Colley, Heather A, Cooper, Cynthia M, Craigen, William J, Crouse, Andrew B, Cunningham, Michael, D'Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davids, Mariska, Dayal, Jyoti G, Deardorff, Matthew, Dell'Angelica, Esteban C, Dhar, Shweta U, Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Douine, Emilie D, Draper, David D, Duncan, Laura, Earl, Dawn, Eckstein, David J, Emrick, Lisa T, Eng, Christine M, Esteves, Cecilia, Estwick, Tyra, Falk, Marni, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L, Findley, Laurie C, Fisher, Paul G, Fogel, Brent L, Forghani, Irman, Fresard, Laure, Gahl, William A, Glass, Ian, and Godfrey, Rena A
Subjects: Pediatric, Biotechnology, Human Genome, Clinical Research, Genetics, Good Health and Well Being, Child, Delivery of Health Care, Family, Genomics, Humans, Parents, Exome Sequencing, exome and genomic sequencing, undiagnosed disorders, healthcare empowerment, genetic counseling, parental perspectives, rare disorders, Undiagnosed Disease Network, Clinical Sciences, Genetics & Heredity
Abstract: The Genome Empowerment Scale (GEmS), developed as a research tool, assesses perspectives of parents of children with undiagnosed disorders about to undergo exome or genome sequencing related to the process of empowerment. We defined genomic healthcare empowerment as follows: perceived ability to understand and seek new information related to the genomic sequencing, manage emotions related to the diagnostic process and outcomes, and utilize genomic sequencing information to the betterment of the individual/child and family. The GEmS consists of four scales, two are primarily emotion-focused (Meaning of a Diagnosis, and Emotional Management of the Process) and two are action-oriented (Seeking Information and Support, and Implications and Planning). The purpose of this research was to provide a strategy for interpreting results from the GEmS and present illustrative cases. These illustrations should serve to facilitate use of the GEmS in the clinical and research arena, particularly with respect to guiding genetic counseling processes for parents of children with undiagnosed conditions.
Published: 2022

12. Biallelic CRELD1 variants cause a multisystem syndrome, including neurodevelopmental phenotypes, cardiac dysrhythmias, and frequent infections

Author: Borras, Silvia, Clark, Caroline, Dean, John, Miedzybrodzka, Zosia, Ross, Alison, Tennant, Stephen, Dabir, Tabib, Donnelly, Deirdre, Humphreys, Mervyn, Magee, Alex, McConnell, Vivienne, McKee, Shane, McNerlan, Susan, Morrison, Patrick J., Rea, Gillian, Stewart, Fiona, Cole, Trevor, Cooper, Nicola, Cooper-Charles, Lisa, Cox, Helen, Islam, Lily, Jarvis, Joanna, Keelagher, Rebecca, Lim, Derek, McMullan, Dominic, Morton, Jenny, Naik, Swati, O’Driscoll, Mary, Ong, Kai-Ren, Osio, Deborah, Ragge, Nicola, Turton, Sarah, Vogt, Julie, Williams, Denise, Bodek, Simon, Donaldson, Alan, Hills, Alison, Low, Karen, Newbury-Ecob, Ruth, Norman, Andrew M., Roberts, Eileen, Scurr, Ingrid, Smithson, Sarah, Tooley, Madeleine, Abbs, Steve, Armstrong, Ruth, Dunn, Carolyn, Holden, Simon, Park, Soo-Mi, Paterson, Joan, Raymond, Lucy, Reid, Evan, Sandford, Richard, Simonic, Ingrid, Tischkowitz, Marc, Woods, Geoff, Bradley, Lisa, Comerford, Joanne, Green, Andrew, Lynch, Sally, McQuaid, Shirley, Mullaney, Brendan, Berg, Jonathan, Goudie, David, Mavrak, Eleni, McLean, Joanne, McWilliam, Catherine, Reavey, Eleanor, Azam, Tara, Cleary, Elaine, Jackson, Andrew, Lam, Wayne, Lampe, Anne, Moore, David, Porteous, Mary, Baple, Emma, Baptista, Júlia, Brewer, Carole, Castle, Bruce, Kivuva, Emma, Owens, Martina, Rankin, Julia, Shaw-Smith, Charles, Turner, Claire, Turnpenny, Peter, Tysoe, Carolyn, Bradley, Therese, Davidson, Rosemarie, Gardiner, Carol, Joss, Shelagh, Kinning, Esther, Longman, Cheryl, McGowan, Ruth, Murday, Victoria, Pilz, Daniela, Tobias, Edward, Whiteford, Margo, Williams, Nicola, Barnicoat, Angela, Clement, Emma, Faravelli, Francesca, Hurst, Jane, Jenkins, Lucy, Jones, Wendy, Ajith Kumar, V.K., Lees, Melissa, Loughlin, Sam, Male, Alison, Morrogh, Deborah, Rosser, Elisabeth, Scott, Richard, Wilson, Louise, Beleza, Ana, Deshpande, Charu, Flinter, Frances, Holder, Muriel, Irving, Melita, Izatt, Louise, Josifova, Dragana, Mohammed, Shehla, Molenda, Aneta, Robert, Leema, Roworth, Wendy, Ruddy, Deborah, Ryten, Mina, Yau, Shu, Bennett, Christopher, Blyth, Moira, Campbell, Jennifer, Coates, Andrea, Dobbie, Angus, Hewitt, Sarah, Hobson, Emma, Jackson, Eilidh, Jewell, Rosalyn, Kraus, Alison, Prescott, Katrina, Sheridan, Eamonn, Thomson, Jenny, Bradshaw, Kirsty, Dixit, Abhijit, Eason, Jacqueline, Haines, Rebecca, Harrison, Rachel, Mutch, Stacey, Sarkar, Ajoy, Searle, Claire, Shannon, Nora, Sharif, Abid, Suri, Mohnish, Vasudevan, Pradeep, Canham, Natalie, Ellis, Ian, Greenhalgh, Lynn, Howard, Emma, Stinton, Victoria, Swale, Andrew, Weber, Astrid, Banka, Siddharth, Breen, Catherine, Briggs, Tracy, Burkitt-Wright, Emma, Chandler, Kate, Clayton-Smith, Jill, Donnai, Dian, Douzgou, Sofia, Gaunt, Lorraine, Jones, Elizabeth, Kerr, Bronwyn, Langley, Claire, Metcalfe, Kay, Smith, Audrey, Wright, Ronnie, Bourn, David, Burn, John, Fisher, Richard, Hellens, Steve, Henderson, Alex, Montgomery, Tara, Splitt, Miranda, Straub, Volker, Wright, Michael, Zwolinski, Simon, Allen, Zoe, Bernhard, Birgitta, Brady, Angela, Brooks, Claire, Busby, Louise, Clowes, Virginia, Ghali, Neeti, Holder, Susan, Ibitoye, Rita, Wakeling, Emma, Blair, Edward, Carmichael, Jenny, Cilliers, Deirdre, Clasper, Susan, Gibbons, Richard, Kini, Usha, Lester, Tracy, Nemeth, Andrea, Poulton, Joanna, Price, Sue, Shears, Debbie, Stewart, Helen, Wilkie, Andrew, Albaba, Shadi, Baker, Duncan, Balasubramanian, Meena, Johnson, Diana, Parker, Michael, Quarrell, Oliver, Stewart, Alison, Willoughby, Josh, Crosby, Charlene, Elmslie, Frances, Homfray, Tessa, Jin, Huilin, Lahiri, Nayana, Mansour, Sahar, Marks, Karen, McEntagart, Meriel, Saggar, Anand, Tatton-Brown, Kate, Butler, Rachel, Clarke, Angus, Corrin, Sian, Fry, Andrew, Kamath, Arveen, McCann, Emma, Mugalaasi, Hood, Pottinger, Caroline, Procter, Annie, Sampson, Julian, Sansbury, Francis, Varghese, Vinod, Baralle, Diana, Callaway, Alison, Cassidy, Emma J., Daniels, Stacey, Douglas, Andrew, Foulds, Nicola, Hunt, David, Kharbanda, Mira, Lachlan, Katherine, Mercer, Catherine, Side, Lucy, Temple, I. Karen, Wellesley, Diana, Ambrose, J.C., Arumugam, P., Baple, E.L., Bleda, M., Boardman-Pretty, F., Boissiere, J.M., Boustred, C.R., Caulfield, M.J., Chan, G.C., Craig, C.E.H., Daugherty, L.C., de Burca, A., Devereau, A., Elgar, G., Foulger, R.E., Fowler, T., FurióTarí, P., Hackett, J.M., Halai, D., Hamblin, A., Henderson, S., Holman, J.E., Hubbard, T.J.P., Ibáñez, K., Jackson, R., Jones, L.J., Kasperaviciute, D., Kayikci, M., Lahnstein, L., Lawson, K., Leigh, S.E.A., Leong, I.U.S., Lopez, F.J., MaleadyCrowe, F., Mason, J., McDonagh, E.M., Moutsianas, L., Mueller, M., Murugaesu, N., Need, A.C., Odhams, C.A., Patch, C., Perez-Gil, D., Polychronopoulos, D., Pullinger, J., Rahim, T., Rendon, A., Riesgo-Ferreiro, P., Rogers, T., Ryten, M., Savage, K., Sawant, K., Scott, R.H., Siddiq, A., Sieghart, A., Smedley, D., Smith, K.R., Sosinsky, A., Spooner, W., Stevens, H.E., Stuckey, A., Sultana, R., Thomas, E.R.A., Thompson, S.R., Tucci, A., Walsh, E., Watters, S.A., Welland, M.J., Williams, E., Witkowska, K., Acosta, Maria T., Adam, Margaret, Adams, David R., Agrawal, Pankaj B., Alejandro, Mercedes E., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bennet, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonnenmann, Carsten, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Peter Chang, Ta Chen, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D'Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davids, Mariska, Dayal, Jyoti G., Deardorff, Matthew, Dell'Angelica, Esteban C., Dhar, Shweta U., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Douine, Emilie D., Draper, David D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Esteves, Cecilia, Estwick, Tyra, Falk, Marni, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L., Findley, Laurie C., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Fresard, Laure, Gahl, William A., Glass, Ian, Godfrey, Rena A., Golden-Grant, Katie, Goldman, Alica M., Goldstein, David B., Grajewski, Alana, Groden, Catherine A., Gropman, Andrea L., Gutierrez, Irma, Hahn, Sihoun, Hamid, Rizwan, Hanchard, Neil A., Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yong, Isasi, Rosario, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Johnston, Jean M., Karaviti, Lefkothea, Kelley, Emily G., Kennedy, Jennifer, Kiley, Dana, Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Korrick, Susan, Koziura, Mary, Krier, Joel B., Lalani, Seema R., Lam, Byron, Lam, Christina, Lanpher, Brendan C., Lanza, Ian R., Lau, C. Christopher, LeBlanc, Kimberly, Lee, Brendan H., Lee, Hane, Levitt, Roy, Lewis, Richard A., Lincoln, Sharyn A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Majcherska, Marta M., Mak, Bryan, Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Markello, Thomas C., Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McCormack, Colleen E., McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo M., Morimoto, Marie, Mulvihill, John J., Murdock, David R., Nakano-Okuno, Mariko, Nath, Avi, Nelson, Stan F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Papp, Jeanette C., Parker, Neil H., Phillips, John A., Posey, Jennifer E., Potocki, Lorraine, Pusey, Barbara N., Quinlan, Aaron, Raskind, Wendy, Raja, Archana N., Rao, Deepak A., Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rosenwasser, Natalie, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Samson, Susan L., Saporta, Mario, Scott, C. Ron, Schaechter, Judy, Schedl, Timothy, Scott, Daryl A., Sharma, Prashant, Shin, Jimann, Signer, Rebecca, Sillari, Catherine H., Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Solnica-Krezel, Lilianna, Stoler, Joan M., Stong, Nicholas, Sullivan, Jennifer A., Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tamburro, Cecelia P., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Tucker, Brianna M., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Wallace, Stephanie, Walley, Nicole M., Walsh, Chris A., Walker, Melissa, Wambach, Jennifer, Wan, Jijun, Wang, Lee-Kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Wener, Mark, Wenger, Tara, Perry, Katherine Wesseling, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Woods, Jeremy D., Yamamoto, Shinya, Yang, John, Yu, Guoyun, Zastrow, Diane B., Zhao, Chunli, Zuchner, Stephan, Jeffries, Lauren, Mis, Emily K., McWalter, Kirsty, Donkervoort, Sandra, Brodsky, Nina N., Carpier, Jean-Marie, Ji, Weizhen, Ionita, Cristian, Roy, Bhaskar, Morrow, Jon S., Darbinyan, Armine, Iyer, Krishna, Aul, Ritu B., Chao, Katherine R., Cobbold, Laura, Cohen, Stacey, Custodio, Helena M., Drummond-Borg, Margaret, Finanger, Erika, Hainline, Bryan E., Helbig, Ingo, Hewson, Stacy, Hu, Ying, Jackson, Adam, Konstantino, Monica, Leach, Meganne E., McCormick, David, Nelson, Stanley, Nguyen, Joanne, Nugent, Kimberly, Ortega, Lucy, Goodkin, Howard P., Roeder, Elizabeth, Roy, Sani, Sapp, Katie, Saade, Dimah, Sisodiya, Sanjay M., Stals, Karen, Towner, Shelley, Wilson, William, Khokha, Mustafa K., Bönnemann, Carsten G., Lucas, Carrie L., and Lakhani, Saquib A.
Published: 2024
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13. Representation Theorem for Matrix Product States

Author: Guo, Erdong and Draper, David
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing, Quantum Physics
Abstract: In this work, we investigate the universal representation capacity of the Matrix Product States (MPS) from the perspective of boolean functions and continuous functions. We show that MPS can accurately realize arbitrary boolean functions by providing a construction method of the corresponding MPS structure for an arbitrarily given boolean gate. Moreover, we prove that the function space of MPS with the scale-invariant sigmoidal activation is dense in the space of continuous functions defined on a compact subspace of the $n$-dimensional real coordinate space $\mathbb{R^{n}}$. We study the relation between MPS and neural networks and show that the MPS with a scale-invariant sigmoidal function is equivalent to a one-hidden-layer neural network equipped with a kernel function. We construct the equivalent neural networks for several specific MPS models and show that non-linear kernels such as the polynomial kernel which introduces the couplings between different components of the input into the model appear naturally in the equivalent neural networks. At last, we discuss the realization of the Gaussian Process (GP) with infinitely wide MPS by studying their equivalent neural networks., Comment: 19 pages
Published: 2021

14. OUT THERE

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: You never get a second chance to make a first impression. so a lot of thought and creativity goes into selecting the cover of each issue of Petersen's HUNTING. Back [...]
Published: 2023

15. Infinitely Wide Tensor Networks as Gaussian Process

Author: Guo, Erdong and Draper, David
Subjects: Statistics - Machine Learning, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
Abstract: Gaussian Process is a non-parametric prior which can be understood as a distribution on the function space intuitively. It is known that by introducing appropriate prior to the weights of the neural networks, Gaussian Process can be obtained by taking the infinite-width limit of the Bayesian neural networks from a Bayesian perspective. In this paper, we explore the infinitely wide Tensor Networks and show the equivalence of the infinitely wide Tensor Networks and the Gaussian Process. We study the pure Tensor Network and another two extended Tensor Network structures: Neural Kernel Tensor Network and Tensor Network hidden layer Neural Network and prove that each one will converge to the Gaussian Process as the width of each model goes to infinity. (We note here that Gaussian Process can also be obtained by taking the infinite limit of at least one of the bond dimensions $\alpha_{i}$ in the product of tensor nodes, and the proofs can be done with the same ideas in the proofs of the infinite-width cases.) We calculate the mean function (mean vector) and the covariance function (covariance matrix) of the finite dimensional distribution of the induced Gaussian Process by the infinite-width tensor network with a general set-up. We study the properties of the covariance function and derive the approximation of the covariance function when the integral in the expectation operator is intractable. In the numerical experiments, we implement the Gaussian Process corresponding to the infinite limit tensor networks and plot the sample paths of these models. We study the hyperparameters and plot the sample path families in the induced Gaussian Process by varying the standard deviations of the prior distributions. As expected, the parameters in the prior distribution namely the hyper-parameters in the induced Gaussian Process controls the characteristic lengthscales of the Gaussian Process., Comment: 20 pages, 4 figures
Published: 2021

16. The Bayesian Method of Tensor Networks

Author: Guo, Erdong and Draper, David
Subjects: Statistics - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Neural and Evolutionary Computing
Abstract: Bayesian learning is a powerful learning framework which combines the external information of the data (background information) with the internal information (training data) in a logically consistent way in inference and prediction. By Bayes rule, the external information (prior distribution) and the internal information (training data likelihood) are combined coherently, and the posterior distribution and the posterior predictive (marginal) distribution obtained by Bayes rule summarize the total information needed in the inference and prediction, respectively. In this paper, we study the Bayesian framework of the Tensor Network from two perspective. First, we introduce the prior distribution to the weights in the Tensor Network and predict the labels of the new observations by the posterior predictive (marginal) distribution. Since the intractability of the parameter integral in the normalization constant computation, we approximate the posterior predictive distribution by Laplace approximation and obtain the out-product approximation of the hessian matrix of the posterior distribution of the Tensor Network model. Second, to estimate the parameters of the stationary mode, we propose a stable initialization trick to accelerate the inference process by which the Tensor Network can converge to the stationary path more efficiently and stably with gradient descent method. We verify our work on the MNIST, Phishing Website and Breast Cancer data set. We study the Bayesian properties of the Bayesian Tensor Network by visualizing the parameters of the model and the decision boundaries in the two dimensional synthetic data set. For a application purpose, our work can reduce the overfitting and improve the performance of normal Tensor Network model., Comment: 13 pages, 4 figures
Published: 2021

17. THE LONG WINDING ROAD: CRUISING THROUGH THE B.C. BACKCOUNTRY ON THE SEARCH FOR BEARS

Author: Draper, David
Subjects: Old growth forests -- British Columbia, Hunting, Sports and fitness, Travel, recreation and leisure
Abstract: MANY HUNTERS dream of stalking black bears in the British Columbia backcountry, envisioning high peaks, old-growth forests and up-close encounters with giant bruins. I've hunted bears in B.C. several times, [...]
Published: 2023

18. Chlorophyll absorption and phytoplankton size information inferred from hyperspectral particulate beam attenuation.

Author: Houskeeper, Henry F, Draper, David, Kudela, Raphael M, and Boss, Emmanuel
Subjects: Absorption, Physicochemical, Algorithms, Chlorophyll, Geography, Phytoplankton, Reproducibility of Results, Spectrum Analysis, Optical Physics, Electrical and Electronic Engineering, Mechanical Engineering, Optics
Abstract: Electromagnetic theory predicts spectral dependencies in extinction efficiency near a narrow absorption band for a particle with an index of refraction close to that of the medium in which it is immersed. These absorption band effects are anticipated in oceanographic beam-attenuation (beam-c) spectra, primarily due to the narrow red peak in absorption produced by the phytoplankton photopigment, chlorophyll a (Chl a). Here we present a method to obtain Chl a absorption and size information by analyzing an eigendecomposition of hyperspectral beam-c residuals measured in marine surface waters by an automatic underway system. We find that three principal modes capture more than 99% of the variance in beam-c residuals at wavelengths near the Chl a red absorption peak. The spectral shapes of the eigenvectors resemble extinction efficiency residuals attributed to the absorption band effects. Projection of the eigenvectors onto the beam-c residuals produces a time series of amplitude functions with absolute values that are strongly correlated to concurrent Chl a absorption line height (aLH) measurements (r values of 0.59 to 0.83) and hence provide a method to estimate Chl a absorption. Multiple linear regression of aLH on the amplitude functions enables an independent estimate of aLH, with RMSE of 3.19⋅10-3m-1 (3.3%) or log10-RMSE of 18.6%, and a raw-scale R2 value of 0.90 based on the Tara Oceans Expedition data. Relationships between the amplitude functions and the beam-c exponential slopes are in agreement with theory relating beam-c to the particle size distribution. Compared to multispectral analysis of beam-c slope, hyperspectral analysis of absorption band effects is anticipated to be relatively insensitive to the addition of nonpigmented particles and to monodispersion.
Published: 2020

19. Gun Gripes

Author: Bence, Brian, Arel, Jerry, Levengood, Greg, and Draper, David
Subjects: Hunting guns, Firearms, Sports and fitness, Travel, recreation and leisure
Abstract: I guess I'm in the minority, but I find it amazing that a 'custom rifle' that apparently all the 'real' hunters have is $2,500-$3,500. I know few friends/hunters that own [...]
Published: 2024

20. B.C. BEARS

Author: Purdie, Doug and Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: I was a little surprised with the fact that there was no mention of British Columbia, Canada in the March 2024 issue regarding the 'Best North American Black Bear Destinations' [...]
Published: 2024

21. Summer Doldrums

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: WITH THE EXCEPTION of maybe a few weeks in June, when bluegill are spawning, I hate summer. I'm from the Northern clans, as a like-minded friend puts it, and have [...]
Published: 2024

22. THE TRAPPER AND THE PRINCE: DIGGING UP HISTORY ON THE HUNT FOR MOUNTAIN MULE DEER

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: A FAINT SCRATCH in the landscape diverged from the well-worn trail before ascending the steep hillside. Tyler Yiles subtly pulled the short packtrain--just four animals long--to the left, away from [...]
Published: 2022

23. Old Friends

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: OVER THE COURSE of the last 50 years, Petersen's HUNTING has printed thousands of articles, galleries of photos and tons of tips and hints on how to get the most [...]
Published: 2023

24. Impact of climate changes in the suitable areas for Coffea arabica L. production in Mozambique: Agroforestry as an alternative management system to strengthen crop sustainability

Author: Cassamo, Crimildo T., Draper, David, Romeiras, Maria M., Marques, Isabel, Chiulele, Rogério, Rodrigues, Marisa, Stalmans, Marc, Partelli, Fábio L., Ribeiro-Barros, Ana, and Ramalho, José C.
Published: 2023
Full Text: View/download PDF

25. De Novo Pathogenic Variants in N-cadherin Cause a Syndromic Neurodevelopmental Disorder with Corpus Collosum, Axon, Cardiac, Ocular, and Genital Defects

Author: Accogli, Andrea, Calabretta, Sara, St-Onge, Judith, Boudrahem-Addour, Nassima, Dionne-Laporte, Alexandre, Joset, Pascal, Azzarello-Burri, Silvia, Rauch, Anita, Krier, Joel, Fieg, Elizabeth, Pallais, Juan C, Network, Undiagnosed Diseases, Acosta, Maria T, Adams, David R, Agrawal, Pankaj, Alejandro, Mercedes E, Allard, Patrick, Alvey, Justin, Andrews, Ashley, Ashley, Euan A, Azamian, Mahshid S, Bacino, Carlos A, Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Bale, Jim, Barbouth, Deborah, Batzli, Gabriel F, Bayrak-Toydemir, Pinar, Beggs, Alan H, Bejerano, Gill, Bellen, Hugo J, Bernstein, Jonathan A, Berry, Gerard T, Bican, Anna, Bick, David P, Birch, Camille L, Bivona, Stephanie, Bohnsack, John, Bonnenmann, Carsten, Bonner, Devon, Boone, Braden E, Bostwick, Bret L, Botto, Lorenzo, Briere, Lauren C, Brokamp, Elly, Brown, Donna M, Brush, Matthew, Burke, Elizabeth A, Burrage, Lindsay C, Butte, Manish J, Carey, John, Carrasquillo, Olveen, Chang, Ta Chen Peter, Chao, Hsiao-Tuan, Clark, Gary D, Coakley, Terra R, Cobban, Laurel A, Cogan, Joy D, Cole, F Sessions, Colley, Heather A, Cooper, Cynthia M, Cope, Heidi, Craigen, William J, D’Souza, Precilla, Dasari, Surendra, Davids, Mariska, Dayal, Jyoti G, Dell’Angelica, Esteban C, Dhar, Shweta U, Dorrani, Naghmeh, Dorset, Daniel C, Douine, Emilie D, Draper, David D, Duncan, Laura, Eckstein, David J, Emrick, Lisa T, Eng, Christine M, Esteves, Cecilia, Estwick, Tyra, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L, Fisher, Paul G, Fogel, Brent L, Forghani, Irman, Fresard, Laure, Gahl, William A, Godfrey, Rena A, Goldman, Alica M, Goldstein, David B, Gourdine, Jean-Philippe F, Grajewski, Alana, Groden, Catherine A, Gropman, Andrea L, Haendel, Melissa, Hamid, Rizwan, Hanchard, Neil A, and Hayes, Nichole
Subjects: Biochemistry and Cell Biology, Biomedical and Clinical Sciences, Genetics, Biological Sciences, Neurosciences, 2.1 Biological and endogenous factors, Aetiology, Axons, Cadherins, Corpus Callosum, Eye, Frameshift Mutation, Genitalia, Heart Defects, Congenital, Heterozygote, Humans, Neurodevelopmental Disorders, Undiagnosed Diseases Network, ACOG, CDH2, N-cadherin, cardiac defects, cell-cell adhesion, corpus callosum, eye defects, genital defects, intellectual disability, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: Cadherins constitute a family of transmembrane proteins that mediate calcium-dependent cell-cell adhesion. The extracellular domain of cadherins consists of extracellular cadherin (EC) domains, separated by calcium binding sites. The EC interacts with other cadherin molecules in cis and in trans to mechanically hold apposing cell surfaces together. CDH2 encodes N-cadherin, whose essential roles in neural development include neuronal migration and axon pathfinding. However, CDH2 has not yet been linked to a Mendelian neurodevelopmental disorder. Here, we report de novo heterozygous pathogenic variants (seven missense, two frameshift) in CDH2 in nine individuals with a syndromic neurodevelopmental disorder characterized by global developmental delay and/or intellectual disability, variable axon pathfinding defects (corpus callosum agenesis or hypoplasia, mirror movements, Duane anomaly), and ocular, cardiac, and genital anomalies. All seven missense variants (c.1057G>A [p.Asp353Asn]; c.1789G>A [p.Asp597Asn]; c.1789G>T [p.Asp597Tyr]; c.1802A>C [p.Asn601Thr]; c.1839C>G [p.Cys613Trp]; c.1880A>G [p.Asp627Gly]; c.2027A>G [p.Tyr676Cys]) result in substitution of highly conserved residues, and six of seven cluster within EC domains 4 and 5. Four of the substitutions affect the calcium-binding site in the EC4-EC5 interdomain. We show that cells expressing these variants in the EC4-EC5 domains have a defect in cell-cell adhesion; this defect includes impaired binding in trans with N-cadherin-WT expressed on apposing cells. The two frameshift variants (c.2563_2564delCT [p.Leu855Valfs∗4]; c.2564_2567dupTGTT [p.Leu856Phefs∗5]) are predicted to lead to a truncated cytoplasmic domain. Our study demonstrates that de novo heterozygous variants in CDH2 impair the adhesive activity of N-cadherin, resulting in a multisystemic developmental disorder, that could be named ACOG syndrome (agenesis of corpus callosum, axon pathfinding, cardiac, ocular, and genital defects).
Published: 2019

26. Heterozygous variants in MYBPC1 are associated with an expanded neuromuscular phenotype beyond arthrogryposis

Author: Shashi, Vandana, Geist, Janelle, Lee, Youngha, Yoo, Yongjin, Shin, Unbeom, Schoch, Kelly, Sullivan, Jennifer, Stong, Nicholas, Smith, Edward, Jasien, Joan, Kranz, Peter, Lee, Yoonsung, Shin, Yong Beom, Wright, Nathan T, Choi, Murim, Kontrogianni‐Konstantopoulos, Aikaterini, Acosta, Maria T, Adams, David R, Aday, Aaron, Alejandro, Mercedes E, Allard, Patrick, Ashley, Euan A, Azamian, Mahshid S, Bacino, Carlos A, Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Barbouth, Deborah, Batzli, Gabriel F, Beggs, Alan H, Bellen, Hugo J, Bernstein, Jonathan A, Berry, Gerard T, Bican, Anna, Bick, David P, Birch, Camille L, Bivona, Stephanie, Bonnenmann, Carsten, Bonner, Devon, Boone, Braden E, Bostwick, Bret L, Briere, Lauren C, Brokamp, Elly, Brown, Donna M, Brush, Matthew, Burke, Elizabeth A, Burrage, Lindsay C, Butte, Manish J, Carrasquillo, Olveen, Chang, Ta Chen Peter, Chao, Hsiao‐Tuan, Clark, Gary D, Coakley, Terra R, Cobban, Laurel A, Cogan, Joy D, Cole, F Sessions, Colley, Heather A, Cooper, Cynthia M, Cope, Heidi, Craigen, William J, D'Souza, Precilla, Dasari, Surendra, Davids, Mariska, Davidson, Jean M, Dayal, Jyoti G, Dell'Angelica, Esteban C, Dhar, Shweta U, Dorrani, Naghmeh, Dorset, Daniel C, Douine, Emilie D, Draper, David D, Dries, Annika M, Duncan, Laura, Eckstein, David J, Emrick, Lisa T, Eng, Christine M, Enns, Gregory M, Esteves, Cecilia, Estwick, Tyra, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L, Fisher, Paul G, Fogel, Brent L, Forghani, Irman, Friedman, Noah D, Gahl, William A, Godfrey, Rena A, Goldman, Alica M, Goldstein, David B, Gourdine, Jean‐Philippe F, Grajewski, Alana, Groden, Catherine A, Gropman, Andrea L, Haendel, Melissa, Hamid, Rizwan, Hanchard, Neil A, High, Frances, and Holm, Ingrid A
Subjects: Biological Sciences, Medical Physiology, Biomedical and Clinical Sciences, Clinical Research, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Musculoskeletal, Adult, Arthrogryposis, Carrier Proteins, Child, Fathers, Female, Humans, Infant, Male, Models, Molecular, Mutation, Neuromuscular Diseases, Pedigree, Phenotype, Protein Conformation, Whole Genome Sequencing, arthrogryposis, hypotonia, MYBPC1, myopathy, myosin binding protein-C, tremor, Undiagnosed Diseases Network, Genetics, Clinical Sciences, Genetics & Heredity, Clinical sciences
Abstract: Encoding the slow skeletal muscle isoform of myosin binding protein-C, MYBPC1 is associated with autosomal dominant and recessive forms of arthrogryposis. The authors describe a novel association for MYBPC1 in four patients from three independent families with skeletal muscle weakness, myogenic tremors, and hypotonia with gradual clinical improvement. The patients carried one of two de novo heterozygous variants in MYBPC1, with the p.Leu263Arg variant seen in three individuals and the p.Leu259Pro variant in one individual. Both variants are absent from controls, well conserved across vertebrate species, predicted to be damaging, and located in the M-motif. Protein modeling studies suggested that the p.Leu263Arg variant affects the stability of the M-motif, whereas the p.Leu259Pro variant alters its structure. In vitro biochemical and kinetic studies demonstrated that the p.Leu263Arg variant results in decreased binding of the M-motif to myosin, which likely impairs the formation of actomyosin cross-bridges during muscle contraction. Collectively, our data substantiate that damaging variants in MYBPC1 are associated with a new form of an early-onset myopathy with tremor, which is a defining and consistent characteristic in all affected individuals, with no contractures. Recognition of this expanded myopathic phenotype can enable identification of individuals with MYBPC1 variants without arthrogryposis.
Published: 2019

27. DOWN THE ROOSEVELT HOLE: HUNTING ELK IN OREGON'S WET WONDERLAND

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: MY FIRST HUNT for Roosevelt elk began as I imagine most hunts in southeast Oregon do--with a delayed start due to heavy fog. In the dark before dawn, Shawn Skipper [...]
Published: 2022

28. A SEASON WITH THE 600

Author: Draper, David
Subjects: Hunting rifles, Firearms industry, Sports and fitness, Travel, recreation and leisure
Abstract: THREE HUNTERS. OK NEW RIFLE FROM CZ-USA. IT WOULD BE an understatement to say CZ firearms have a loyal following. Rabid might be overdoing it, .only slightly, but fans of [...]
Published: 2022

29. A RARE VINTAGE: PASSING THE BOTTLE--AND THE BUCK

Author: Draper, David
Subjects: Southwest Airlines Co., Wine industry, Airlines, Boats and boating, Wineries, Sports and fitness, Travel, recreation and leisure
Abstract: A PRIOR COMMITMENT put me behind the dock and provided a quasi-legitimate excuse for rollinginlo Steinbeck Vineyards a day late, joining a group of good friends on a hunt for [...]
Published: 2022

30. The Need for Spectrum and the Impact on Weather Observations

Author: Palmer, Robert, Whelan, David, Bodine, David, Kirstetter, Pierre, Kumjian, Matthew, Metcalf, Justin, Yeary, Mark, Yu, Tian-You, Rao, Ramesh, Cho, John, Draper, David, Durden, Stephen, English, Stephen, Kollias, Pavlos, Kosiba, Karen, Wada, Masakazu, Wurman, Joshua, Blackwell, William, Bluestein, Howard, Collis, Scott, Gerth, Jordan, Tuttle, Aaron, Wang, Xuguang, and Zrnić, Dusan
Published: 2021

31. A Single-Gun Solution: Revisiting the versatility of Blaser's switch-barrel R8 Ultimate rifle

Author: Draper, David
Subjects: Firearms, Sports and fitness, Travel, recreation and leisure
Abstract: Hunters have long argued about what guns a person really needs. A rimfire, of course. And then a small-caliber centerfire for predators and such. And then something a little, or [...]
Published: 2023

32. Comment: A brief survey of the current state of play for Bayesian computation in data science at Big-Data scale

Author: Draper, David and Terenin, Alexander
Subjects: Statistics - Computation
Abstract: We wish to contribute to the discussion of "Comparing Consensus Monte Carlo Strategies for Distributed Bayesian Computation" by offering our views on the current best methods for Bayesian computation, both at big-data scale and with smaller data sets, as summarized in Table 1. This table is certainly an over-simplification of a highly complicated area of research in constant (present and likely future) flux, but we believe that constructing summaries of this type is worthwhile despite their drawbacks, if only to facilitate further discussion.
Published: 2017

33. IgG4‐related disease: Association with a rare gene variant expressed in cytotoxic T cells

Author: Newman, John H, Shaver, Aaron, Sheehan, Jonathan H, Mallal, Simon, Stone, John H, Pillai, Shiv, Bastarache, Lisa, Riebau, Derek, Allard‐Chamard, Hugues, Stone, William M, Perugino, Cory, Pilkinton, Mark, Smith, Scott A, McDonnell, Wyatt J, Capra, John A, Meiler, Jens, Cogan, Joy, Xing, Kelly, Mahajan, Vinay S, Mattoo, Hamid, Hamid, Rizwan, Phillips, John A, Adams, David R, Aday, Aaron, Alejandro, Mercedes E, Allard, Patrick, Ashley, Euan A, Azamian, Mahshid S, Bacino, Carlos A, Balasubramanyam, Ashok, Barseghyan, Hayk, Batzli, Gabriel F, Beggs, Alan H, Behnam, Babak, Bellen, Hugo J, Bernstein, Jonathan A, Bican, Anna, Bick, David P, Birch, Camille L, Bonner, Devon, Boone, Braden E, Bostwick, Bret L, Briere, Lauren C, Brown, Donna M, Brush, Matthew, Burke, Elizabeth A, Burrage, Lindsay C, Butte, Manish J, Chen, Shan, Clark, Gary D, Coakley, Terra R, Cooper, Cynthia M, Cope, Heidi, Craigen, William J, D'Souza, Precilla, Davids, Mariska, Davidson, Jean M, Dayal, Jyoti G, Dell'Angelica, Esteban C, Dhar, Shweta U, Dipple, Katrina M, Donnell‐Fink, Laurel A, Dorrani, Naghmeh, Dorset, Daniel C, Douine, Emilie D, Draper, David D, Dries, Annika M, Eckstein, David J, Emrick, Lisa T, Eng, Christine M, Enns, Gregory M, Eskin, Ascia, Esteves, Cecilia, Estwick, Tyra, Fernandez, Liliana, Ferreira, Carlos, Fisher, Paul G, Fogel, Brent L, Friedman, Noah D, Gahl, William A, Glanton, Emily, Godfrey, Rena A, Goldman, Alica M, Goldstein, David B, Gould, Sarah E, Gourdine, Jean‐Philippe F, Groden, Catherine A, Gropman, Andrea L, Haendel, Melissa, Hanchard, Neil A, Handley, Lori H, Herzog, Matthew R, High, Francis, Holm, Ingrid A, Hom, Jason, Howerton, Ellen M, Huang, Yong, Jamal, Fariha, Jiang, Yong‐hui, and Johnston, Jean M
Subjects: Biological Sciences, Genetics, Rare Diseases, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Adolescent, CD4-Positive T-Lymphocytes, Genetic Variation, Humans, Immunoglobulin G, Immunoglobulin G4-Related Disease, Male, Middle Aged, T-Lymphocytes, Cytotoxic, cytotoxic lymphocytes, heritable, IgG4-RD, Undiagnosed Disease Network, Medicinal and Biomolecular Chemistry, Clinical Sciences, Medicinal and biomolecular chemistry
Abstract: BackgroundFamily screening of a 48-year-old male with recently diagnosed IgG4-related disease (IgG4-RD) revealed unanticipated elevations in plasma IgG4 in his two healthy teenaged sons.MethodsWe performed gene sequencing, immune cell studies, HLA typing, and analyses of circulating cytotoxic CD4+ T lymphocytes and plasmablasts to seek clues to pathogenesis. DNA from a separate cohort of 99 patients with known IgG4-RD was also sequenced for the presence of genetic variants in a specific gene, FGFBP2.ResultsThe three share a previously unreported heterozygous single base deletion in fibroblast growth factor binding protein type 2 (FGFBP2), which causes a frameshift in the coding sequence. The FGFBP2 protein is secreted by cytotoxic T-lymphocytes and binds fibroblast growth factor. The variant sequence in the FGFBP2 protein is predicted to form a disordered random coil rather than a helical-turn-helix structure, unable to adopt a stable conformation. The proband and the two sons had 5-10-fold higher numbers of circulating cytotoxic CD4 + T cells and plasmablasts compared to matched controls. The three members also share a homozygous missense common variant in FGFBP2 found in heterozygous form in ~40% of the population. This common variant was found in 73% of an independent, well characterized IgG4-RD cohort, showing enrichment in idiopathic IgG4-RD.ConclusionsThe presence of a shared deleterious variant and homozygous common variant in FGFBP2 in the proband and sons strongly implicates this cytotoxic T cell product in the pathophysiology of IgG4-RD. The high prevalence of a common FGFBP2 variant in sporadic IgG4-RD supports the likelihood of participation in disease.
Published: 2019

34. Bi-allelic Variants in TONSL Cause SPONASTRIME Dysplasia and a Spectrum of Skeletal Dysplasia Phenotypes

Author: Burrage, Lindsay C, Reynolds, John J, Baratang, Nissan Vida, Phillips, Jennifer B, Wegner, Jeremy, McFarquhar, Ashley, Higgs, Martin R, Christiansen, Audrey E, Lanza, Denise G, Seavitt, John R, Jain, Mahim, Li, Xiaohui, Parry, David A, Raman, Vandana, Chitayat, David, Chinn, Ivan K, Bertuch, Alison A, Karaviti, Lefkothea, Schlesinger, Alan E, Earl, Dawn, Bamshad, Michael, Savarirayan, Ravi, Doddapaneni, Harsha, Muzny, Donna, Jhangiani, Shalini N, Eng, Christine M, Gibbs, Richard A, Bi, Weimin, Emrick, Lisa, Rosenfeld, Jill A, Postlethwait, John, Westerfield, Monte, Dickinson, Mary E, Beaudet, Arthur L, Ranza, Emmanuelle, Huber, Celine, Cormier-Daire, Valérie, Shen, Wei, Mao, Rong, Heaney, Jason D, Orange, Jordan S, Genomics, University of Washington Center for Mendelian, Network, Undiagnosed Diseases, Adams, David R, Aday, Aaron, Alejandro, Mercedes E, Allard, Patrick, Ashley, Euan A, Azamian, Mahshid S, Bacino, Carlos A, Baker, Eva, Balasubramanyam, Ashok, Barseghyan, Hayk, Batzli, Gabriel F, Beggs, Alan H, Behnam, Babak, Bellen, Hugo J, Bernstein, Jonathan A, Berry, Gerard T, Bican, Anna, Bick, David P, Birch, Camille L, Bonner, Devon, Boone, Braden E, Bostwick, Bret L, Briere, Lauren C, Brokamp, Elly, Brown, Donna M, Brush, Matthew, Burke, Elizabeth A, Butte, Manish J, Chen, Shan, Clark, Gary D, Coakley, Terra R, Cogan, Joy D, Colley, Heather A, Cooper, Cynthia M, Cope, Heidi, Craigen, William J, D’Souza, Precilla, Davids, Mariska, Davidson, Jean M, Dayal, Jyoti G, Dell’Angelica, Esteban C, Dhar, Shweta U, Dipple, Katrina M, Donnell-Fink, Laurel A, Dorrani, Naghmeh, Dorset, Daniel C, Douine, Emilie D, Draper, David D, Dries, Annika M, Duncan, Laura, Eckstein, David J, Emrick, Lisa T, Enns, Gregory M, Eskin, Ascia, and Esteves, Cecilia
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Rare Diseases, Clinical Research, Congenital Structural Anomalies, Pediatric, Aetiology, 2.1 Biological and endogenous factors, Adolescent, Adult, Alleles, Animals, Cells, Cultured, Child, Child, Preschool, Chromosomal Instability, DNA Damage, Female, Fibroblasts, Genetic Association Studies, Genetic Variation, Humans, Mice, Mice, Knockout, Musculoskeletal Abnormalities, NF-kappa B, Osteochondrodysplasias, Exome Sequencing, Young Adult, Zebrafish, University of Washington Center for Mendelian Genomics, Undiagnosed Diseases Network, DNA repair, DNA replication, SPONASTRIME dysplasia, TONSL, exome sequencing, skeletal dysplasia, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract: SPONASTRIME dysplasia is an autosomal-recessive spondyloepimetaphyseal dysplasia characterized by spine (spondylar) abnormalities, midface hypoplasia with a depressed nasal bridge, metaphyseal striations, and disproportionate short stature. Scoliosis, coxa vara, childhood cataracts, short dental roots, and hypogammaglobulinemia have also been reported in this disorder. Although an autosomal-recessive inheritance pattern has been hypothesized, pathogenic variants in a specific gene have not been discovered in individuals with SPONASTRIME dysplasia. Here, we identified bi-allelic variants in TONSL, which encodes the Tonsoku-like DNA repair protein, in nine subjects (from eight families) with SPONASTRIME dysplasia, and four subjects (from three families) with short stature of varied severity and spondylometaphyseal dysplasia with or without immunologic and hematologic abnormalities, but no definitive metaphyseal striations at diagnosis. The finding of early embryonic lethality in a Tonsl-/- murine model and the discovery of reduced length, spinal abnormalities, reduced numbers of neutrophils, and early lethality in a tonsl-/- zebrafish model both support the hypomorphic nature of the identified TONSL variants. Moreover, functional studies revealed increased amounts of spontaneous replication fork stalling and chromosomal aberrations, as well as fewer camptothecin (CPT)-induced RAD51 foci in subject-derived cell lines. Importantly, these cellular defects were rescued upon re-expression of wild-type (WT) TONSL; this rescue is consistent with the hypothesis that hypomorphic TONSL variants are pathogenic. Overall, our studies in humans, mice, zebrafish, and subject-derived cell lines confirm that pathogenic variants in TONSL impair DNA replication and homologous recombination-dependent repair processes, and they lead to a spectrum of skeletal dysplasia phenotypes with numerous extra-skeletal manifestations.
Published: 2019

35. THE GREATEST GUN CASE

Author: Draper, David
Subjects: Sports and fitness, Travel, recreation and leisure
Abstract: I couldn't even guess how many miles my Cabela's Bullet-Proof Gun Case has traveled. Tens of thousands surely, maybe even into the hundreds of thousands. It's rolled through countless airports [...]
Published: 2023

36. IRF2BPL Is Associated with Neurological Phenotypes

Author: Marcogliese, Paul C, Shashi, Vandana, Spillmann, Rebecca C, Stong, Nicholas, Rosenfeld, Jill A, Koenig, Mary Kay, Martínez-Agosto, Julián A, Herzog, Matthew, Chen, Agnes H, Dickson, Patricia I, Lin, Henry J, Vera, Moin U, Salamon, Noriko, Graham, John M, Ortiz, Damara, Infante, Elena, Steyaert, Wouter, Dermaut, Bart, Poppe, Bruce, Chung, Hyung-Lok, Zuo, Zhongyuan, Lee, Pei-Tseng, Kanca, Oguz, Xia, Fan, Yang, Yaping, Smith, Edward C, Jasien, Joan, Kansagra, Sujay, Spiridigliozzi, Gail, El-Dairi, Mays, Lark, Robert, Riley, Kacie, Koeberl, Dwight D, Golden-Grant, Katie, Diseases, Program for Undiagnosed, Callens, Steven, Coucke, Paul, Hemelsoet, Dimitri, Terryn, Wim, Van Coster, Rudy, Network, Undiagnosed Diseases, Adams, David R, Alejandro, Mercedes E, Allard, Patrick, Azamian, Mahshid S, Bacino, Carlos A, Balasubramanyam, Ashok, Barseghyan, Hayk, Batzli, Gabriel F, Beggs, Alan H, Behnam, Babak, Bican, Anna, Bick, David P, Birch, Camille L, Bonner, Devon, Boone, Braden E, Bostwick, Bret L, Briere, Lauren C, Brown, Donna M, Brush, Matthew, Burke, Elizabeth A, Burrage, Lindsay C, Chen, Shan, Clark, Gary D, Coakley, Terra R, Cogan, Joy D, Cooper, Cynthia M, Cope, Heidi, Craigen, William J, D’Souza, Precilla, Davids, Mariska, Dayal, Jyoti G, Dell’Angelica, Esteban C, Dhar, Shweta U, Dillon, Ani, Dipple, Katrina M, Donnell-Fink, Laurel A, Dorrani, Naghmeh, Dorset, Daniel C, Douine, Emilie D, Draper, David D, Eckstein, David J, Emrick, Lisa T, Eng, Christine M, Eskin, Ascia, Esteves, Cecilia, Estwick, Tyra, Ferreira, Carlos, Fogel, Brent L, Friedman, Noah D, Gahl, William A, Glanton, Emily, Godfrey, Rena A, Goldstein, David B, Gould, Sarah E, Gourdine, Jean-Philippe F, and Groden, Catherine A
Subjects: Neurodegenerative, Brain Disorders, Neurosciences, Human Genome, Genetics, Biotechnology, 2.1 Biological and endogenous factors, Aetiology, Neurological, Program for Undiagnosed Diseases, Undiagnosed Diseases Network, C3HC4 RING finger, CG11138, Drosophila, EAP1, ataxia, developmental regression, hypotonia, neurodegeneration, pits, seizures, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract: Interferon regulatory factor 2 binding protein-like (IRF2BPL) encodes a member of the IRF2BP family of transcriptional regulators. Currently the biological function of this gene is obscure, and the gene has not been associated with a Mendelian disease. Here we describe seven individuals who carry damaging heterozygous variants in IRF2BPL and are affected with neurological symptoms. Five individuals who carry IRF2BPL nonsense variants resulting in a premature stop codon display severe neurodevelopmental regression, hypotonia, progressive ataxia, seizures, and a lack of coordination. Two additional individuals, both with missense variants, display global developmental delay and seizures and a relatively milder phenotype than those with nonsense alleles. The IRF2BPL bioinformatics signature based on population genomics is consistent with a gene that is intolerant to variation. We show that the fruit-fly IRF2BPL ortholog, called pits (protein interacting with Ttk69 and Sin3A), is broadly detected, including in the nervous system. Complete loss of pits is lethal early in development, whereas partial knockdown with RNA interference in neurons leads to neurodegeneration, revealing a requirement for this gene in proper neuronal function and maintenance. The identified IRF2BPL nonsense variants behave as severe loss-of-function alleles in this model organism, and ectopic expression of the missense variants leads to a range of phenotypes. Taken together, our results show that IRF2BPL and pits are required in the nervous system in humans and flies, and their loss leads to a range of neurological phenotypes in both species.
Published: 2018

37. OUT THERE

Author: Draper, David
Subjects: Hunting rifles, Sports and fitness, Travel, recreation and leisure
Abstract: There's been an explosion among hunters in recent years, although it was a quiet one. Nearly every rifle made and sold is now equipped with a threaded muzzle, ready for [...]
Published: 2024

38. I Can Quit Anytime

Author: Draper, David
Subjects: Hunting rifles -- Personal narratives, Sports and fitness, Travel, recreation and leisure
Abstract: THIS IS GOING to sound strange coming from the editor of a hunting magazine, but I was never a 'gun guy.' For many years, I believed a hunter only needed [...]
Published: 2024

39. It's Supposed To Be Fun

Author: Draper, David
Subjects: Hunting rifles, Sports and fitness, Travel, recreation and leisure
Abstract: AS HUNTERS, we put ourselves under a lot of pressure. Many deer seasons are just a week or two long, and most of us can only hunt a few of [...]
Published: 2024

40. Quality of Care in US NICUs by Race and Ethnicity

Author: Edwards, Erika M., primary, Greenberg, Lucy T., additional, Profit, Jochen, additional, Draper, David, additional, Helkey, Daniel, additional, and Horbar, Jeffrey D., additional
Published: 2022
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41. P\'olya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler

Author: Terenin, Alexander, Magnusson, Måns, Jonsson, Leif, and Draper, David
Subjects: Statistics - Machine Learning, Statistics - Computation
Abstract: Latent Dirichlet Allocation (LDA) is a topic model widely used in natural language processing and machine learning. Most approaches to training the model rely on iterative algorithms, which makes it difficult to run LDA on big corpora that are best analyzed in parallel and distributed computational environments. Indeed, current approaches to parallel inference either don't converge to the correct posterior or require storage of large dense matrices in memory. We present a novel sampler that overcomes both problems, and we show that this sampler is faster, both empirically and theoretically, than previous Gibbs samplers for LDA. We do so by employing a novel P\'olya-urn-based approximation in the sparse partially collapsed sampler for LDA. We prove that the approximation error vanishes with data size, making our algorithm asymptotically exact, a property of importance for large-scale topic models. In addition, we show, via an explicit example, that - contrary to popular belief in the topic modeling literature - partially collapsed samplers can be more efficient than fully collapsed samplers. We conclude by comparing the performance of our algorithm with that of other approaches on well-known corpora.
Published: 2017
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42. A Space-Based Observational Strategy for Characterizing the First Stars and Galaxies Using the Redshifted 21-cm Global Spectrum

Author: Burns, Jack O., Bradley, Richard, Tauscher, Keith, Furlanetto, Steven, Mirocha, Jordan, Monsalve, Raul, Rapetti, David, Purcell, William, Newell, David, Draper, David, MacDowall, Robert, Bowman, Judd, Nhan, Bang, Wollack, Edward J., Fialkov, Anastasia, Jones, Dayton, Kasper, Justin C., Loeb, Abraham, Datta, Abhirup, Pritchard, Jonathan, Switzer, Eric, and Bicay, Michael
Subjects: Astrophysics - Instrumentation and Methods for Astrophysics, 85Axx
Abstract: The redshifted 21-cm monopole is expected to be a powerful probe of the epoch of the first stars and galaxies ($10
Published: 2017
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43. A Noninformative Prior on a Space of Distribution Functions

Author: Terenin, Alexander and Draper, David
Subjects: Mathematics - Statistics Theory
Abstract: In a given problem, the Bayesian statistical paradigm requires the specification of a prior distribution that quantifies relevant information about the unknowns of main interest external to the data. In cases where little such information is available, the problem under study may possess an invariance under a transformation group that encodes a lack of information, leading to a unique prior---this idea was explored at length by E.T. Jaynes. Previous successful examples have included location-scale invariance under linear transformation, multiplicative invariance of the rate at which events in a counting process are observed, and the derivation of the Haldane prior for a Bernoulli success probability. In this paper we show that this method can be extended, by generalizing Jaynes, in two ways: (1) to yield families of approximately invariant priors, and (2) to the infinite-dimensional setting, yielding families of priors on spaces of distribution functions. Our results can be used to describe conditions under which a particular Dirichlet Process posterior arises from an optimal Bayesian analysis, in the sense that invariances in the prior and likelihood lead to one and only one posterior distribution.
Published: 2017
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44. GPU-accelerated Gibbs sampling: a case study of the Horseshoe Probit model

Author: Terenin, Alexander, Dong, Shawfeng, and Draper, David
Subjects: Statistics - Computation, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract: Gibbs sampling is a widely used Markov chain Monte Carlo (MCMC) method for numerically approximating integrals of interest in Bayesian statistics and other mathematical sciences. Many implementations of MCMC methods do not extend easily to parallel computing environments, as their inherently sequential nature incurs a large synchronization cost. In the case study illustrated by this paper, we show how to do Gibbs sampling in a fully data-parallel manner on a graphics processing unit, for a large class of exchangeable models that admit latent variable representations. Our approach takes a systems perspective, with emphasis placed on efficient use of compute hardware. We demonstrate our method on a Horseshoe Probit regression model and find that our implementation scales effectively to thousands of predictors and millions of data points simultaneously.
Published: 2016
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45. CLAN OF THE CLIFF BEAR: SCALING NEW HEIGHTS ON THE HUNT FOR AN ELUSIVE BRUIN

Author: Draper, David
Subjects: Bears, Sports and fitness, Travel, recreation and leisure
Abstract: FOR THE SECOND evening in a row, the small, black spot appeared on the lace of the distant cliff. Though calling it 'small' is a bit misleading. Sure, from a [...]
Published: 2022

46. Racial/Ethnic Disparity in NICU Quality of Care Delivery

Author: Profit, Jochen, Gould, Jeffrey B, Bennett, Mihoko, Goldstein, Benjamin A, Draper, David, Phibbs, Ciaran S, and Lee, Henry C
Subjects: Clinical Research, Preterm, Low Birth Weight and Health of the Newborn, Infant Mortality, Perinatal Period - Conditions Originating in Perinatal Period, Pediatric, Black or African American, California, Healthcare Disparities, Hispanic or Latino, Humans, Infant, Very Low Birth Weight, Intensive Care Units, Neonatal, Outcome and Process Assessment, Health Care, Prospective Studies, White People, Medical and Health Sciences, Psychology and Cognitive Sciences, Pediatrics
Abstract: BackgroundDifferences in NICU quality of care provided to very low birth weight (
Published: 2017

47. Phenotypic expansion of CACNA1C-associated disorders to include isolated neurological manifestations

Author: Rodan, Lance H., Spillmann, Rebecca C., Kurata, Harley T., Lamothe, Shawn M., Maghera, Jasmine, Jamra, Rami Abou, Alkelai, Anna, Antonarakis, Stylianos E., Atallah, Isis, Bar-Yosef, Omer, Bilan, Frédéric, Bjorgo, Kathrine, Blanc, Xavier, Van Bogaert, Patrick, Bolkier, Yoav, Burrage, Lindsay C., Christ, Björn U., Granadillo, Jorge L., Dickson, Patricia, Donald, Kirsten A., Dubourg, Christèle, Eliyahu, Aviva, Emrick, Lisa, Engleman, Kendra, Gonfiantini, Michaela Veronika, Good, Jean-Marc, Kalser, Judith, Kloeckner, Chiara, Lachmeijer, Guus, Macchiaiolo, Marina, Nicita, Francesco, Odent, Sylvie, O’Heir, Emily, Ortiz-Gonzalez, Xilma, Pacio-Miguez, Marta, Palomares-Bralo, María, Pena, Loren, Platzer, Konrad, Quinodoz, Mathieu, Ranza, Emmanuelle, Rosenfeld, Jill A., Roulet-Perez, Eliane, Santani, Avni, Santos-Simarro, Fernando, Pode-Shakked, Ben, Skraban, Cara, Slaugh, Rachel, Superti-Furga, Andrea, Thiffault, Isabelle, van Jaabrsveld, Richard H., Vincent, Marie, Wang, Hong-Gang, Zacher, Pia, Alejandro, Mercedes E., Azamian, Mahshid S., Bacino, Carlos A., Balasubramanyam, Ashok, Chao, Hsiao-Tuan, Clark, Gary D., Craigen, William J., Dai, Hongzheng, Dhar, Shweta U., Emrick, Lisa T., Goldman, Alica M., Hanchard, Neil A., Jamal, Fariha, Karaviti, Lefkothea, Lalani, Seema R., Lee, Brendan H., Lewis, Richard A., Marom, Ronit, Moretti, Paolo M., Murdock, David R., Nicholas, Sarah K., Orengo, James P., Posey, Jennifer E., Potocki, Lorraine, Samson, Susan L., Scott, Daryl A., Tran, Alyssa A., Vogel, Tiphanie P., Wangler, Michael F., Yamamoto, Shinya, Eng, Christine M., Liu, Pengfei, Ward, Patricia A., Behrens, Edward, Deardorff, Matthew, Falk, Marni, Hassey, Kelly, Sullivan, Kathleen, Vanderver, Adeline, Goldstein, David B., Cope, Heidi, McConkie-Rosell, Allyn, Schoch, Kelly, Shashi, Vandana, Smith, Edward C., Sullivan, Jennifer A., Tan, Queenie K.-G., Walley, Nicole M., Agrawal, Pankaj B., Beggs, Alan H., Berry, Gerard T., Briere, Lauren C., Cobban, Laurel A., Coggins, Matthew, Cooper, Cynthia M., Fieg, Elizabeth L., High, Frances, Holm, Ingrid A., Korrick, Susan, Krier, Joel B., Lincoln, Sharyn A., Loscalzo, Joseph, Maas, Richard L., MacRae, Calum A., Pallais, J. Carl, Rao, Deepak A., Silverman, Edwin K., Stoler, Joan M., Sweetser, David A., Walker, Melissa, Walsh, Chris A., Esteves, Cecilia, Kelley, Emily G., Kohane, Isaac S., LeBlanc, Kimberly, McCray, Alexa T., Nagy, Anna, Dasari, Surendra, Lanpher, Brendan C., Lanza, Ian R., Morava, Eva, Oglesbee, Devin, Bademci, Guney, Barbouth, Deborah, Bivona, Stephanie, Carrasquillo, Olveen, Chang, Ta Chen Peter, Forghani, Irman, Grajewski, Alana, Isasi, Rosario, Lam, Byron, Levitt, Roy, Liu, Xue Zhong, McCauley, Jacob, Sacco, Ralph, Saporta, Mario, Schaechter, Judy, Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Zuchner, Stephan, Colley, Heather A., Dayal, Jyoti G., Eckstein, David J., Findley, Laurie C., Krasnewich, Donna M., Mamounas, Laura A., Manolio, Teri A., Mulvihill, John J., LaMoure, Grace L., Goldrich, Madison P., Urv, Tiina K., Doss, Argenia L., Acosta, Maria T., Bonnenmann, Carsten, D’Souza, Precilla, Draper, David D., Ferreira, Carlos, Godfrey, Rena A., Groden, Catherine A., Macnamara, Ellen F., Maduro, Valerie V., Markello, Thomas C., Nath, Avi, Novacic, Donna, Pusey, Barbara N., Toro, Camilo, Wahl, Colleen E., Baker, Eva, Burke, Elizabeth A., Adams, David R., Gahl, William A., Malicdan, May Christine V., Tifft, Cynthia J., Wolfe, Lynne A., Yang, John, Power, Bradley, Gochuico, Bernadette, Huryn, Laryssa, Latham, Lea, Davis, Joie, Mosbrook-Davis, Deborah, Rossignol, Francis, Ben Solomon, MacDowall, John, Thurm, Audrey, Zein, Wadih, Yousef, Muhammad, Adam, Margaret, Amendola, Laura, Bamshad, Michael, Beck, Anita, Bennett, Jimmy, Berg-Rood, Beverly, Blue, Elizabeth, Boyd, Brenna, Byers, Peter, Chanprasert, Sirisak, Cunningham, Michael, Dipple, Katrina, Doherty, Daniel, Earl, Dawn, Glass, Ian, Golden-Grant, Katie, Hahn, Sihoun, Hing, Anne, Hisama, Fuki M., Horike-Pyne, Martha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Lam, Christina, Maravilla, Kenneth, Mefford, Heather, Merritt, J. Lawrence, Mirzaa, Ghayda, Nickerson, Deborah, Raskind, Wendy, Rosenwasser, Natalie, Scott, C. Ron, Sun, Angela, Sybert, Virginia, Wallace, Stephanie, Wener, Mark, Wenger, Tara, Ashley, Euan A., Bejerano, Gill, Bernstein, Jonathan A., Bonner, Devon, Coakley, Terra R., Fernandez, Liliana, Fisher, Paul G., Fresard, Laure, Hom, Jason, Huang, Yong, Kohler, Jennefer N., Kravets, Elijah, Majcherska, Marta M., Martin, Beth A., Marwaha, Shruti, McCormack, Colleen E., Raja, Archana N., Reuter, Chloe M., Ruzhnikov, Maura, Sampson, Jacinda B., Smith, Kevin S., Sutton, Shirley, Tabor, Holly K., Tucker, Brianna M., Wheeler, Matthew T., Zastrow, Diane B., Zhao, Chunli, Byrd, William E., Crouse, Andrew B., Might, Matthew, Nakano-Okuno, Mariko, Whitlock, Jordan, Brown, Gabrielle, Butte, Manish J., Dell’Angelica, Esteban C., Dorrani, Naghmeh, Douine, Emilie D., Fogel, Brent L., Gutierrez, Irma, Huang, Alden, Krakow, Deborah, Lee, Hane, Loo, Sandra K., Mak, Bryan C., Martin, Martin G., Martínez-Agosto, Julian A., McGee, Elisabeth, Nelson, Stanley F., Nieves-Rodriguez, Shirley, Palmer, Christina G.S., Papp, Jeanette C., Parker, Neil H., Renteria, Genecee, Signer, Rebecca H., Sinsheimer, Janet S., Wan, Jijun, Wang, Lee-kai, Perry, Katherine Wesseling, Woods, Jeremy D., Alvey, Justin, Andrews, Ashley, Bale, Jim, Bohnsack, John, Botto, Lorenzo, Carey, John, Pace, Laura, Longo, Nicola, Marth, Gabor, Moretti, Paolo, Quinlan, Aaron, Velinder, Matt, Viskochil, Dave, Bayrak-Toydemir, Pinar, Mao, Rong, Westerfield, Monte, Bican, Anna, Brokamp, Elly, Duncan, Laura, Hamid, Rizwan, Kennedy, Jennifer, Kozuira, Mary, Newman, John H., PhillipsIII, John A., Rives, Lynette, Robertson, Amy K., Solem, Emily, Cogan, Joy D., Cole, F. Sessions, Hayes, Nichole, Kiley, Dana, Sisco, Kathy, Wambach, Jennifer, Wegner, Daniel, Baldridge, Dustin, Pak, Stephen, Schedl, Timothy, Shin, Jimann, Solnica-Krezel, Lilianna, Rush, Eric, Pitt, Geoffrey S., and Au, Ping Yee Billie
Published: 2021
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48. Heterozygous loss-of-function variants significantly expand the phenotypes associated with loss of GDF11

Author: Ravenscroft, Thomas A., Phillips, Jennifer B., Fieg, Elizabeth, Bajikar, Sameer S., Peirce, Judy, Wegner, Jeremy, Luna, Alia A., Fox, Eric J., Yan, Yi-Lin, Rosenfeld, Jill A., Zirin, Jonathan, Kanca, Oguz, Acosta, Maria T., Adam, Margaret, Adams, David R., Agrawal, Pankaj B., Alejandro, Mercedes E., Alvey, Justin, Amendola, Laura, Andrews, Ashley, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Baker, Eva, Balasubramanya, Ashok, Baldridge, Dustin, Bale, Jim, Bamshad, Michael, Barbouth, Deborah, Bayrak-Toydemir, Pinar, Beck, Anita, Beggs, Alan H., Behrens, Edward, Bejerano, Gill, Bennet, Jimmy, Berg-Rood, Beverly, Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bivona, Stephanie, Blue, Elizabeth, Bohnsack, John, Bonnenmann, Carsten, Bonner, Devon, Botto, Lorenzo, Boyd, Brenna, Briere, Lauren C., Brokamp, Elly, Brown, Gabrielle, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Byers, Peter, Byrd, William E., Carey, John, Carrasquillo, Olveen, Chang, Ta Chen Peter, Chanprasert, Sirisak, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Coggins, Matthew, Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Craigen, William J., Crouse, Andrew B., Cunningham, Michael, D’Souza, Precilla, Dai, Hongzheng, Dasari, Surendra, Davis, Joie, Dayal, Jyoti G., Deardorff, Matthew, Dell’Angelica, Esteban C., Dhar, Shweta U., Dipple, Katrina, Doherty, Daniel, Dorrani, Naghmeh, Doss, Argenia L., Douine, Emilie D., Draper, David D., Duncan, Laura, Earl, Dawn, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Esteves, Cecilia, Falk, Marni, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L., Findley, Laurie C., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Fresard, Laure, Gahl, William A., Glass, Ian, Gochuico, Bernadette, Godfrey, Rena A., Golden-Grant, Katie, Goldman, Alica M., Goldrich, Madison P., Goldstein, David B., Grajewski, Alana, Groden, Catherine A., Gutierrez, Irma, Hahn, Sihoun, Hamid, Rizwan, Hanchard, Neil A., Hassey, Kelly, Hayes, Nichole, High, Frances, Hing, Anne, Hisama, Fuki M., Holm, Ingrid A., Hom, Jason, Horike-Pyne, Martha, Huang, Alden, Huang, Yong, Huryn, Laryssa, Isasi, Rosario, Jamal, Fariha, Jarvik, Gail P., Jarvik, Jeffrey, Jayadev, Suman, Karaviti, Lefkothea, Kennedy, Jennifer, Kiley, Dana, Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Kravets, Elijah, Korrick, Susan, Koziura, Mary, Krier, Joel B., Lalani, Seema R., Lam, Byron, Lam, Christina, LaMoure, Grace L., Lanpher, Brendan C., Lanza, Ian R., Latham, Lea, LeBlanc, Kimberly, Lee, Brendan H., Lee, Hane, Levitt, Roy, Lewis, Richard A., Lincoln, Sharyn A., Liu, Pengfei, Liu, Xue Zhong, Longo, Nicola, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., MacDowall, John, Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Majcherska, Marta M., Mak, Bryan C., Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Mao, Rong, Maravilla, Kenneth, Markello, Thomas C., Marom, Ronit, Marth, Gabor, Martin, Beth A., Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, McCauley, Jacob, McConkie-Rosell, Allyn, McCormack, Colleen E., McCray, Alexa T., McGee, Elisabeth, Mefford, Heather, Merritt, J. Lawrence, Might, Matthew, Mirzaa, Ghayda, Morava, Eva, Moretti, Paolo, Moretti, Paolo M., Mosbrook-Davis, Deborah, Mulvihill, John J., Murdock, David R., Nagy, Anna, Nakano-Okuno, Mariko, Nath, Avi, Nelson, Stan F., Newman, John H., Nicholas, Sarah K., Nickerson, Deborah, Nieves-Rodriguez, Shirley, Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pace, Laura, Pak, Stephen, Pallais, J. Carl, Palmer, Christina GS., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Potocki, Lorraine, Power, Bradley, Pusey, Barbara N., Quinlan, Aaron, Raskind, Wendy, Raja, Archana N., Rao, Deepak A., Renteria, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenwasser, Natalie, Rossignol, Francis, Ruzhnikov, Maura, Sacco, Ralph, Sampson, Jacinda B., Samson, Susan L., Saporta, Mario, Scott, C. Ron, Schaechter, Judy, Schedl, Timothy, Schoch, Kelly, Scott, Daryl A., Shashi, Vandana, Shin, Jimann, Signer, Rebecca, Silverman, Edwin K., Sinsheimer, Janet S., Sisco, Kathy, Smith, Edward C., Smith, Kevin S., Solem, Emily, Solnica-Krezel, Lilianna, Solomon, Ben, Spillmann, Rebecca C., Stoler, Joan M., Sullivan, Jennifer A., Sullivan, Kathleen, Sun, Angela, Sutton, Shirley, Sweetser, David A., Sybert, Virginia, Tabor, Holly K., Tan, Amelia L.M., Tan, Queenie K.-G., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Thurm, Audrey, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Tucker, Brianna M., Urv, Tiina K., Vanderver, Adeline, Velinder, Matt, Viskochil, Dave, Vogel, Tiphanie P., Wahl, Colleen E., Wallace, Stephanie, Walley, Nicole M., Walsh, Chris A., Walker, Melissa, Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Wegner, Daniel, Wener, Mark, Wenger, Tara, Perry, Katherine Wesseling, Westerfield, Monte, Wheeler, Matthew T., Whitlock, Jordan, Wolfe, Lynne A., Woods, Jeremy D., Yamamoto, Shinya, Yang, John, Yousef, Muhammad, Zastrow, Diane B., Zein, Wadih, Zhao, Chunli, Zuchner, Stephan, Benke, Paul J., Cameron, Eric S., Strehlow, Vincent, Platzer, Konrad, Jamra, Rami Abou, Klöckner, Chiara, Osmond, Matthew, Licata, Thomas, Rojas, Samantha, Dyment, David, Chong, Josephine S.C., Lincoln, Sharyn, Postlethwait, John H., Krier, Joel, and Bellen, Hugo J.
Published: 2021
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49. Scientific Discovery and Geomagnetic Monitoring in Earth Orbit Using Small Satellite Systems

Author: Green, James, Draper, David, Grant, Helen, Rall, Jonathan, Pelton, Joseph N., editor, and Madry, Scott, editor
Published: 2020
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50. Biallelic CRELD1 variants cause a multisystem syndrome including neurodevelopmental phenotypes, cardiac dysrhythmias, and frequent infections.

Author: Jeffries, Lauren, primary, Mis, Emily K., additional, McWalter, Kirsty, additional, Donkervoort, Sandra, additional, Brodsky, Nina N., additional, Carpier, Jean-Marie, additional, Ji, Weizhen, additional, Ionita, Cristian, additional, Roy, Bhaskar, additional, Morrow, Jon S., additional, Darbinyan, Armine, additional, Iyer, Krishna, additional, Aul, Ritu B., additional, Banka, Siddharth, additional, Chao, Katherine R., additional, Cobbold, Laura, additional, Cohen, Stacey, additional, Custodio, Helena M., additional, Drummond-Borg, Margaret, additional, Elmslie, Frances, additional, Finanger, Erika, additional, Hainline, Bryan E., additional, Helbig, Ingo, additional, Hewson, Stacy, additional, Hu, Ying, additional, Jackson, Adam, additional, Josifova, Dragana, additional, Konstantino, Monica, additional, Leach, Meganne E., additional, Mak, Bryan, additional, McCormick, David, additional, McGee, Elisabeth, additional, Nelson, Stanley, additional, Nguyen, Joanne, additional, Nugent, Kimberly, additional, Ortega, Lucy, additional, Goodkin, Howard P., additional, Roeder, Elizabeth, additional, Roy, Sani, additional, Sapp, Katie, additional, Saade, Dimah, additional, Sisodiya, Sanjay M., additional, Stals, Karen, additional, Towner, Shelley, additional, Wilson, William, additional, Khokha, Mustafa K., additional, Bönnemann, Carsten G., additional, Lucas, Carrie L., additional, Lakhani, Saquib A., additional, Acosta, Maria T., additional, Adam, Margaret, additional, Adams, David R., additional, Agrawal, Pankaj B., additional, Alejandro, Mercedes E., additional, Alvey, Justin, additional, Amendola, Laura, additional, Andrews, Ashley, additional, Ashley, Euan A., additional, Azamian, Mahshid S., additional, Bacino, Carlos A., additional, Bademci, Guney, additional, Baker, Eva, additional, Balasubramanyam, Ashok, additional, Baldridge, Dustin, additional, Bale, Jim, additional, Bamshad, Michael, additional, Barbouth, Deborah, additional, Bayrak-Toydemir, Pinar, additional, Beck, Anita, additional, Beggs, Alan H., additional, Behrens, Edward, additional, Bejerano, Gill, additional, Bennet, Jimmy, additional, Berg-Rood, Beverly, additional, Bernstein, Jonathan A., additional, Berry, Gerard T., additional, Bican, Anna, additional, Bivona, Stephanie, additional, Blue, Elizabeth, additional, Bohnsack, John, additional, Bonnenmann, Carsten, additional, Bonner, Devon, additional, Botto, Lorenzo, additional, Boyd, Brenna, additional, Briere, Lauren C., additional, Brokamp, Elly, additional, Brown, Gabrielle, additional, Burke, Elizabeth A., additional, Burrage, Lindsay C., additional, Butte, Manish J., additional, Byers, Peter, additional, Byrd, William E., additional, Carey, John, additional, Carrasquillo, Olveen, additional, Peter Chang, Ta Chen, additional, Chanprasert, Sirisak, additional, Chao, Hsiao-Tuan, additional, Clark, Gary D., additional, Coakley, Terra R., additional, Cobban, Laurel A., additional, Cogan, Joy D., additional, Coggins, Matthew, additional, Cole, F Sessions, additional, Colley, Heather A., additional, Cooper, Cynthia M., additional, Craigen, William J., additional, Crouse, Andrew B., additional, Cunningham, Michael, additional, D'Souza, Precilla, additional, Dai, Hongzheng, additional, Dasari, Surendra, additional, Davids, Mariska, additional, Dayal, Jyoti G., additional, Deardorff, Matthew, additional, Dell'Angelica, Esteban C., additional, Dhar, Shweta U., additional, Dipple, Katrina, additional, Doherty, Daniel, additional, Dorrani, Naghmeh, additional, Douine, Emilie D., additional, Draper, David D., additional, Duncan, Laura, additional, Earl, Dawn, additional, Eckstein, David J., additional, Emrick, Lisa T., additional, Eng, Christine M., additional, Esteves, Cecilia, additional, Estwick, Tyra, additional, Falk, Marni, additional, Fernandez, Liliana, additional, Ferreira, Carlos, additional, Fieg, Elizabeth L., additional, Findley, Laurie C., additional, Fisher, Paul G., additional, Fogel, Brent L., additional, Forghani, Irman, additional, Fresard, Laure, additional, Gahl, William A., additional, Glass, Ian, additional, Godfrey, Rena A., additional, Golden-Grant, Katie, additional, Goldman, Alica M., additional, Goldstein, David B., additional, Grajewski, Alana, additional, Groden, Catherine A., additional, Gropman, Andrea L., additional, Gutierrez, Irma, additional, Hahn, Sihoun, additional, Hamid, Rizwan, additional, Hanchard, Neil A., additional, Hassey, Kelly, additional, Hayes, Nichole, additional, High, Frances, additional, Hing, Anne, additional, Hisama, Fuki M., additional, Holm, Ingrid A., additional, Hom, Jason, additional, Horike-Pyne, Martha, additional, Huang, Alden, additional, Huang, Yong, additional, Isasi, Rosario, additional, Jamal, Fariha, additional, Jarvik, Gail P., additional, Jarvik, Jeffrey, additional, Jayadev, Suman, additional, Johnston, Jean M., additional, Karaviti, Lefkothea, additional, Kelley, Emily G., additional, Kennedy, Jennifer, additional, Kiley, Dana, additional, Kohane, Isaac S., additional, Kohler, Jennefer N., additional, Krakow, Deborah, additional, Krasnewich, Donna M., additional, Kravets, Elijah, additional, Korrick, Susan, additional, Koziura, Mary, additional, Krier, Joel B., additional, Lalani, Seema R., additional, Lam, Byron, additional, Lam, Christina, additional, Lanpher, Brendan C., additional, Lanza, Ian R., additional, Lau, C Christopher, additional, LeBlanc, Kimberly, additional, Lee, Brendan H., additional, Lee, Hane, additional, Levitt, Roy, additional, Lewis, Richard A., additional, Lincoln, Sharyn A., additional, Liu, Pengfei, additional, Liu, Xue Zhong, additional, Longo, Nicola, additional, Loo, Sandra K., additional, Loscalzo, Joseph, additional, Maas, Richard L., additional, Macnamara, Ellen F., additional, MacRae, Calum A., additional, Maduro, Valerie V., additional, Majcherska, Marta M., additional, Christine V Malicdan, May, additional, Mamounas, Laura A., additional, Manolio, Teri A., additional, Mao, Rong, additional, Maravilla, Kenneth, additional, Markello, Thomas C., additional, Marom, Ronit, additional, Marth, Gabor, additional, Martin, Beth A., additional, Martin, Martin G., additional, Martínez-Agosto, Julian A., additional, Marwaha, Shruti, additional, McCauley, Jacob, additional, McCormack, Colleen E., additional, McCray, Alexa T., additional, Mefford, Heather, additional, Merritt, J Lawrence, additional, Might, Matthew, additional, Mirzaa, Ghayda, additional, Morava, Eva, additional, Moretti, Paolo M., additional, Morimoto, Marie, additional, Mulvihill, John J., additional, Murdock, David R., additional, Nakano-Okuno, Mariko, additional, Nath, Avi, additional, Nelson, Stan F., additional, Newman, John H., additional, Nicholas, Sarah K., additional, Nickerson, Deborah, additional, Nieves-Rodriguez, Shirley, additional, Novacic, Donna, additional, Oglesbee, Devin, additional, Orengo, James P., additional, Pace, Laura, additional, Pak, Stephen, additional, Pallais, J Carl, additional, Papp, Jeanette C., additional, Parker, Neil H., additional, Phillips, John A., additional, Posey, Jennifer E., additional, Potocki, Lorraine, additional, Pusey, Barbara N., additional, Quinlan, Aaron, additional, Raskind, Wendy, additional, Raja, Archana N., additional, Rao, Deepak A., additional, Renteria, Genecee, additional, Reuter, Chloe M., additional, Rives, Lynette, additional, Robertson, Amy K., additional, Rodan, Lance H., additional, Rosenfeld, Jill A., additional, Rosenwasser, Natalie, additional, Ruzhnikov, Maura, additional, Sacco, Ralph, additional, Sampson, Jacinda B., additional, Samson, Susan L., additional, Saporta, Mario, additional, Scott, C Ron, additional, Schaechter, Judy, additional, Schedl, Timothy, additional, Scott, Daryl A., additional, Sharma, Prashant, additional, Shin, Jimann, additional, Signer, Rebecca, additional, Sillari, Catherine H., additional, Silverman, Edwin K., additional, Sinsheimer, Janet S., additional, Sisco, Kathy, additional, Smith, Edward C., additional, Smith, Kevin S., additional, Solem, Emily, additional, Solnica-Krezel, Lilianna, additional, Stoler, Joan M., additional, Stong, Nicholas, additional, Sullivan, Jennifer A., additional, Sun, Angela, additional, Sutton, Shirley, additional, Sweetser, David A., additional, Sybert, Virginia, additional, Tabor, Holly K., additional, Tamburro, Cecelia P., additional, Tekin, Mustafa, additional, Telischi, Fred, additional, Thorson, Willa, additional, Tifft, Cynthia J., additional, Toro, Camilo, additional, Tran, Alyssa A., additional, Tucker, Brianna M., additional, Urv, Tiina K., additional, Vanderver, Adeline, additional, Velinder, Matt, additional, Viskochil, Dave, additional, Vogel, Tiphanie P., additional, Wahl, Colleen E., additional, Wallace, Stephanie, additional, Walley, Nicole M., additional, Walsh, Chris A., additional, Walker, Melissa, additional, Wambach, Jennifer, additional, Wan, Jijun, additional, Wang, Lee-Kai, additional, Wangler, Michael F., additional, Ward, Patricia A., additional, Wegner, Daniel, additional, Wener, Mark, additional, Wenger, Tara, additional, Perry, Katherine Wesseling, additional, Westerfield, Monte, additional, Wheeler, Matthew T., additional, Whitlock, Jordan, additional, Wolfe, Lynne A., additional, Woods, Jeremy D., additional, Yamamoto, Shinya, additional, Yang, John, additional, Yu, Guoyun, additional, Zastrow, Diane B., additional, Zhao, Chunli, additional, Zuchner, Stephan, additional, Ambrose, J.C., additional, Arumugam, P., additional, Baple, E.L., additional, Bleda, M., additional, Boardman-Pretty, F., additional, Boissiere, J.M., additional, Boustred, C.R., additional, Caulfield, M.J., additional, Chan, G.C., additional, Craig, C.E.H., additional, Daugherty, L.C., additional, de Burca, A., additional, Devereau, A., additional, Elgar, G., additional, Foulger, R.E., additional, Fowler, T., additional, FurióTarí, P., additional, Hackett, J.M., additional, Halai, D., additional, Hamblin, A., additional, Henderson, S., additional, Holman, J.E., additional, Hubbard, T.J.P., additional, Ibáñez, K., additional, Jackson, R., additional, Jones, L.J., additional, Kasperaviciute, D., additional, Kayikci, M., additional, Lahnstein, L., additional, Lawson, K., additional, Leigh, S.E.A., additional, Leong, I.U.S., additional, Lopez, F.J., additional, MaleadyCrowe, F., additional, Mason, J., additional, McDonagh, E.M., additional, Moutsianas, L., additional, Mueller, M., additional, Murugaesu, N., additional, Need, A.C., additional, Odhams, C.A., additional, Patch, C., additional, Perez-Gil, D., additional, Polychronopoulos, D., additional, Pullinger, J., additional, Rahim, T., additional, Rendon, A., additional, Riesgo-Ferreiro, P., additional, Rogers, T., additional, Ryten, M., additional, Savage, K., additional, Sawant, K., additional, Scott, R.H., additional, Siddiq, A., additional, Sieghart, A., additional, Smedley, D., additional, Smith, K.R., additional, Sosinsky, A., additional, Spooner, W., additional, Stevens, H.E., additional, Stuckey, A., additional, Sultana, R., additional, Thomas, E.R.A., additional, Thompson, S.R., additional, Tucci, A., additional, Walsh, E., additional, Watters, S.A., additional, Welland, M.J., additional, Williams, E., additional, and Witkowska, K., additional
Published: 2023
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