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  1. 30221
    “…Although mammal vocalisations signal attributes about the caller that are important in a range of contexts, relatively few studies have investigated the transmission of specific types of information encoded in mammal calls. …”
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    Sound transmission in a bamboo forest and its implications for information transfer in giant panda (Ailuropoda melanoleuca) bleats
  2. 30222
    “…A study was considered eligible if it examined the number of falls (fall rate) and fallers (fall risk) of healthy older adults (≥ 65 years) during a follow-up period after participating in a randomized controlled physical exercise intervention. …”
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    Follow-up efficacy of physical exercise interventions on fall incidence and fall risk in healthy older adults: a systematic review and meta-analysis
  3. 30223
    “…BACKGROUND: Obtaining accurate information from a 112 caller is key to correct tasking of Helicopter Emergency Medical Services (HEMS). …”
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    Live video footage from scene to aid helicopter emergency medical service dispatch: a feasibility study
  4. 30224
    “…After baseline assessment, each participants was followed for 6 months with telephone contacts by blinded interviewers. Being fallers (>1 fall) and time to become a faller were used as primary outcomes. …”
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    Educational and Exercise Intervention to Prevent Falls and Improve Participation in Subjects With Neurological Conditions: The NEUROFALL Randomized Controlled Trial
  5. 30225
    “…Our analysis of the simulated data shows that probabilistic method-based tools such as HaplotypeCaller and Mutect2 from the GATK toolset show the best performance. …”
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    A Benchmark of Genetic Variant Calling Pipelines Using Metagenomic Short-Read Sequencing
  6. 30226
    “…People with a previous fall tended to have slightly delayed and more variable recovery responses after perturbation compared to non-fallers. Non-fallers demonstrate more signs of adaptability to repeated perturbations. …”
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    Adaptability to Balance Perturbations During Walking as a Potential Marker of Falls History in Older Adults
  7. 30227
    por Bytyçi, Ibadete, Henein, Michael Y
    Publicado 2021
    “…Baseline stride length was shorter, WMD −0.15 (−0.19 to −0.11, p < 0.001), and stride length variability was higher, WMD 0.67 (0.33 to 1.01, p < 0.001), in fallers compared to non-fallers. Other gait parameters were not different between the two groups (p > 0.05 for all). …”
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    Stride Length Predicts Adverse Clinical Events in Older Adults: A Systematic Review and Meta-Analysis
  8. 30228
    “…Nevertheless, except for the fistula risk score (Callery et al.) and its alternative version (Mungroop et al.), many of the published risk scores are obscure even for the dedicated pancreatic surgeon in terms of their clinical practicability. …”
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    Predicting postoperative pancreatic fistula in pancreatic head resections: which score fits all?
  9. 30229
    “…The basic m4RH family planning menu was most popular, with callers most frequently selecting information on intrauterine contraceptive devices. …”
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    Analyzing program data and promotional approaches to inform best practices from a mobile phone-based reproductive health message program in Afghanistan
  10. 30230
    “…We systematically benchmark MaxHiC against major Hi-C background correction tools including Hi-C significant interaction callers (SIC) and Hi-C loop callers using published Hi-C, capture Hi-C, and Micro-C datasets. …”
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    MaxHiC: A robust background correction model to identify biologically relevant chromatin interactions in Hi-C and capture Hi-C experiments
  11. 30231
    por Senjam, Suraj Singh, Primo, Susan A.
    Publicado 2022
    “…From the list of the callers, we purposely selected two callers with significant visual impairment, one woman and one man, to allow us to gather rich information related to smartphone use, enablers, and challenges faced during the usage. …”
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    Challenges and Enablers for Smartphone Use by Persons With Vision Loss During the COVID-19 Pandemic: A Report of Two Case Studies
  12. 30232
    “…A greater proportion of fallers (13/16) than non-fallers (4/14) reported foot problems (p = 0.029). …”
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    Footwear characteristics and foot problems in community dwelling people with stroke: a cross-sectional observational study
  13. 30233
    “…GEE models suggested that compared to fallers without pain, fallers with moderate-to-severe pain had around twice the likelihood of reporting indoor falls (adj.OR=1.93, 95%CI:1.32-2.83), falls in living/dining rooms (adj.OR=2.06, 95%CI:1.27-3.36), and falls due to health problems (adj.OR=2.08, 95%CI:1.16-3.74) or feeling dizzy/faint (adj.OR=2.10, 95%CI:1.08-4.11), but they were less likely to report falls while going down stairs (adj.OR=0.48, 95%CI:0.27-0.87) or falls due to slips/trips (adj.OR=0.67, 95%CI:0.47-0.95) in the subsequent month. …”
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    CHRONIC PAIN AND CIRCUMSTANCES OF FALLS IN COMMUNITY-LIVING OLDER ADULTS
  14. 30234
    “…The characteristic associated with most fallers beyond the LOA was mediolateral sample entropy (4.8% of fallers). …”
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    Responsiveness of Daily Life Gait Quality Characteristics over One Year in Older Adults Who Experienced a Fall or Engaged in Balance Exercise
  15. 30235
    Publicado 2000
    Tabla de Contenidos: “…Walker.…”
    Libro
    Theoretical perspectives on gender and development /
  16. 30236
    por Chursina, Apollinaria V.
    Publicado 2023
    “…The “Experiences in Close Relationships — Revised” questionnaire (ECR-R; Fraley, Waller, & Brennan, 2000; adapted for Russian by Chursina, 2022) and “Multidimensional Jealousy Scale” (MJS; Pfeiffer, & Wong, 1989) were used. …”
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    The Impact of Romantic Attachment Styles on Jealousy in Young Adults
  17. 30237
    “…In an effort to resolve this controversy, we have carried out ab initio calculations of the structure, lattice vibrations, and EXAFS of ZrW(2)O(8) based on real-space multiple-scattering calculations using the FEFF9 code and auxiliary calculations of structure and Debye-Waller factors. We find that the theoretical simulations are consistent with observed EXAFS, and show that both of the above mechanisms contribute to the dynamical structure of ZrW(2)O(8).…”
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    Extended X-Ray Absorption Fine Structure of ZrW(2)O(8): Theory vs. Experiment
  18. 30238
    “…The effect of hydrogen embrittlement on the grain boundary (GB) is investigated by diffusing hydrogen atoms into the grain boundaries using a bicrystal body-centered cubic (BCC) model and then deforming the model with a uniaxial tension. The Debye Waller factors are applied to illustrate the volume change of GBs, and the simulation results suggest that the trapped hydrogen atoms in GBs can therefore increase the excess volume of GBs, thus enhancing intergranular failure. …”
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    Molecular Dynamics Studies of Hydrogen Effect on Intergranular Fracture in α-Iron
  19. 30239
    por Huang, Yang, Widom, Michael
    Publicado 2022
    “…At a first level of approximation, treating individual atomic displacements independently, our method may be applied using Debye–Waller B-factors, allowing diffraction experiments to obtain an upper bound on the thermodynamic entropy. …”
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    Vibrational Entropy of Crystalline Solids from Covariance of Atomic Displacements
  20. 30240
    por Unwin, Harry J. A., Kopczynska, Maja, Pugh, Richard, Tan, Laura J. P., Subbe, Christian P., Ellis, Gemma, Morgan, Paul, Havalda, Peter, Sharif, Ben, Burke, John, Szakmany, Tamas, Hobrok, Maria, Thomas, Moriah, Burden, Annie, Youssef, Nadia, Carnegie, Katherine, Colling-Sylvester, Helena, Logier, Natasha, Alsaeed, Meshari, Williams, Hannah, Ayob, Arfa, Farzana, Nor, Parida, Sweta, Lawson, David, Evans, Emily, Davis, Laura Jane, Atkins, Billie, Davies, Llywela Wyn, Sanders-Crook, Lee, Seal, Steffan Treharne, Cains, Alice, Pugh, Richard, Crisp, Katy, Venning, Sarah, Sykes, Ella, Narine, Stephanie, Parry, Georgia, Dillon, Emily Angela, Siah, Qi Zhuang, Yang, Ting, Jones, Tyler, Thara, Parvathi, Wood, Emma, Wirt, Lara, Pier, Georgina St, Betts, Richard, Mitsaki, Kyriaki, Tachweed Pierce, Mari, Davies, Sioned, Hafouda, Yakeen, Ifan, Erin, Lacey, Grace, Mitchell, Francesca, Lynch, John, Mazur, Michal, D’Souza, Lezia, Ponting, Bethan, Lau, Terrance, Kerrigan, Ruairidh, Morgan, Lucy, Vindla, Roshan, Zeicu, Claudia, James, Becky, Ariff, Amirah Amin, Wan Azzlan, Wan Binti, Collins, Charlotte, Wickens, Elizabeth, Norbee, Alisa, Zulkefli, Aliya, Haddock, Thomas, Thomas, Megan, Lee, Matthew, Cynan, Miriam, Nik Azis, Nik-Syakirah, Hay, Imogen, Russell, Catherine, Vreugdenhil, Margriet, Abdimalik, Mustafa, Davies, Joseph, Havalda, Peter, Evans, Angharad, Robertson, Kate, Gitau, Grace, Gruber, Mei-yin, Telford, Thomas, Qarout, Anas, Nandra, Naomi, Garrard, Hannah, Cutler, James, Tammy Jones, Rhiannon, Prideaux, Amy, Spence, Timothy, Hardie, Sarah, Seymour, Harriet, Willis, Sam, Warlow, Matthew, Thanthilla, Shanali, Downs, Thomas, Foley, Nina, McKeown, Chad, Dandawate, Akshita, Shayan-Arani, Holleh, Taylor, Ellie, Kyriakides, Oliver, Price, Rachel, Haf Mackey, Ffion, Haines, Emily, Chun, Samuel, Vignarajah, Nilarnti, Chamberlain, Tessa, Zhao, Dongying, Tantirige, Nayanatara Nadeesha T, Dennehey, Naomi, Evans, Georgina, Watts, John, Battle, Ceri, Jones, Ryan, Jones, Selina, James, Charlotte, O’Hanlon, James, Bridges, Isabella, Hughes, Bethany, Polchar, Leo, Bisson, Elise, Mykura, Charlotte, Money, Lara, McKenna, Joshua, Kinsman, Sarah, Hanna, Demiana, Baker, Emily, Sprague, Harrison, Sharma, Liam, Pontin, Tom, Shore, Emma, Hughes, Tamara, Nightingale, Sam, Baby, Philby, Shield, Matthew, Cross, Alice, Boss, Jenna, Ross, Olivia, Ashton, George, Pandit, Kimaya, Davies, Daniel, Garbutt, Cameron, Johnston, Charlotte, Cox, Marcus, Roberts, Chantal, Waller, Alessia, Heekin, Laura, Wang, Kathy, Church, Rhianna, Patel, Shrina, Broderick, Marianne, Whillis, Hannah, Hathaway, Daniel Craig, Yildirim, Emel, Atkins, Caitlin, Walters, Elin, Durie, Carys, Hamilton Sinnerton, Robert James, Tanner, Benjamin, Abreu, Julimar, Bashir, Kiran, Hamlyn, Vincent, Tee, Amelia, Hinchcliffe, Zoe Ann, Otto, Rita, Covell, Georgie, Stone, Megan, Maidman, Victoria, Godfray, Katherine, Caradine, Rhidian, Beetham, Hannah, Anomneze-Collins, Adanna Nicole, Tan, Jeanette, Abdelrazik, Yasmina, Khan, Azizah, Malik, Nabihah, Clack, Aidan, Oliva, Lewis, Thomas, Tyler, Mounce, Adam George, Ramjeeawon, Anoopama, Mtunzi, Ndaba, Soppitt, Duncan, Hale, Jay, Wellington, Jack, Buchanan Ross, Robert, Lis, Danielle, Parsonson, Rebecca, Joseph-Gubra, Jude, Arunthavarajah, Ajitha, Nicholas, Jessica, Harris, Aaron, Atkinson, Henry, Webster, Jessica, Burnett, Tim, Raffan Gowar, Josephine, DeFriend, Sam, Whitaker, Jasmine, Beasant, Elizabeth, Macchiavello, Luis, Usman, Danyal, Mahdi, Abdullah, Tze Shan, Tiffany Ye, Savill, Nick, Gee, Jennifer, Hodges, Lizzie, Desai, Ami, Rossiter, Hannah, Taylor, Matthew, Pinto, Kevin, Hartley, Eleanor, Emanuel, Oscar, Long, Rhiannon, Selby, Megan, Wardle, Elilis, Urquhart, Alexandra, Barrington, Jack, Ashman, Matthew, Adcock, Elizabeth, Dickinson, Amelia, Jordache, Rebecca, El Alaoui, Rym Chafai, Stovold, Sophie, Vickery, Sam, Jones, Nia, O’Donnell, Alice, Cuthbert, Monty, Eghosa, Osa, Karim, Muhammad, Williams, Lowri, Tucker, Louise, Downs, Tom, Walford, Rebecca, Hook, Annabelle, Mounce, Adam, Eccles, Emily, Edwards, Ross, Ramesh, Kirtika, Hall, Charlie, Lazarou, Maria, Jones, Rhidian, McGillian, Katy, Bhachoo, Hari Singh, The, Zoe, Inpahas, Vithusha, Desai, Ruchi, Cheema, Yusuf, Hughes, Andrew, Cranage, Olivia, Bee, Felicity, Osman, Khalid, Khan, Humza, Pitt, Jennifer, Pickwick, Charlotte, Carter, Jorge, Andrew, Fiona, Seedat, Naseera, Patel, Roshni, Walker, Megan, Boam, Alicia, Randall, Jessica, Bowyer, Beth, Edwards, Josh, Jones, Natasha, Walker, Emma, MacNaught, Ailsa, Balachandran, Swagath, Shipley, Abbie, Louise Kent, Jennifer, Tilley, Samuel, Davies, Bethany, Withers, Emma, Parmar, Krishna, Webber, Lucie, Sharma, Angelica, Handley, Amy, Gordon, Alexandra, Allen, Lucy, Paddock, Rebecca, Penney, Harriet, Banerjee, Lopa, Vanderpump, Chloe Victoria, Harding, Kate, Burke, John, Minik, Orsolya, Jarrett, Nia, Rowe, Ellie, Anomneze-Collins, Adanna, Griffiths, Harry, Pengelly, Sarah, Bennett, Ffion, Bilal, Ahmed, El-badawey, Abdullah, Ellis, Bethan, Cook, Luke, Elizabeth Valentine Maine, Harriet, Armstrong, Kiri, Beresford, Hannah, Raven-Gregg, Timia, Liddell-Lowe, Tom, Ong, Caitlin, Reed, Harriet, Alice St John, Frederika, Julia Kozuch, Weronika, Ray, Isabelle, Anuprabha Silva, Irukshi, Natalie Cheng, Sin Ting, Ali, Umme-Laila, Syed, Noreena, Murphy, Luke, Grother, Thomas, Smith, Harry, Watson, Rachel, Marei, Omar, Kirby, Emma, Gilfedder, Anna, Maw, Lydia, O’Connor, Sarah, Maden, Charlotte, Jones, Helena, Preston, Hazel, Binti Maliki, Nur Amirah, Zimmerman, Mark, Webber, Jessica, Jones, Llewelyn, Phillips, Rebecca, McCarthy, Lauren, Hubbard, Emily, Duffy, Leo, Guerrier Sadler, Abigail, Szakmany, Tamas, Richards, Owen, King, Charles, Killick, Charlotte, Chema, Yusuf, Shergill, Kavita, Huen, Yi, Lau, Lillian, Mustafa Ali, Hannah, Wilcock, Lucas, Timlin, Molly, Rela, Ayeesha, Smith, Daniel, Ireland, Sarah, Evans, Jennifer, Poobalan, Nayanatara, Pearce, Jessica, Vadiveloo, Thivya V, Black, Zoe, Samuel, Daniel Elis, Hussain, Humaira, Hawkins, Joanna, Atiyah, Zeid, Creamer, Rebecca, Zafar, Maham, Almazeedi, Ahmad, Brunnock, Hannah, Nasser, Zain, Jeyanthi, Mekha, Moghbel, Poorya, Kwan, Katie, Sutherland, Isobel, Davis, Frank, Rogers, Abigail, Tan, Zhao Xuan, Chantrill, Clare, Robertson, Amal, Foulkes, Jonathan, Khanam, Rahana, John, Jomcy, Meehan, Sarah Hannah, Metezai, Huria, Dawson, Hannah, Vadivale, Navrhinaa, Lee, Camilla, Dhadda, Amrit, Cleaver, Sian, Logue, Genna, Inns, Joy, Jones, Isabel, Howcroft, Robyn, Gilbert, Carys, Bradley, Matthew, Pike, Louise, Keeling, Rachel, Banks, Charldré, Cochrane, Eleanor, McFadyen, James, Mo, Matthew, Ireland, Emily, Brittain, Esme, Laid, Ihssen, Green, Charlotte, Mcforrester, Adriel, Michelle Ly, Xuong, Nalbanti, Mariana, Joseph, Raven, Tagg, Jack, Purchase, David, Myat, Pan, Niina, Ayako, Joshua Jones, Tyler, Hughes Thomas, Lowri, Hoyle, Natalie, Benc, Patrick, Davies, Ellen, Wu, Meng-Chieh, Fellows, David, Tilley, Sam, Baxendale, Eloise, Khan, Karishma, Forrester, Andrew, Moore, Oliver, Lim, Hse Juinn, Owen, Aimee, Hussain, Faris, Allybocus, Nima-banu, Sethi, Maneha, Waring, Harry, Khan, Adeel, Smith, Claire, Doyle, Nicholas, Yahya Amjad, Mohammad, Galloway, Luke, Morgan, Paul, Ellis, Gemma, Lundin, Robert, Al Hassan, Haamed, Markall, Bethan, Kaur, Namratha, Onyango, Emmanuel, Beard, Heather, Field, Elliot, Nelson-Rowe, Ellen, Adcock, Lizzie, Stoddart, Amelia, St John, Frederika, Sivananthan, Mathoorika, Jones, Rhys, Yeon Kwak, Sung, Farakish, Lily, Rhys-Ellis, Holly, Moss, Kate, Ray, Tallulah, David, Tessa, Roberts, Talea, Quy, Annie, Paranjape, Aniket, Bee, Felicity, Poolworaluk, Nutchanun, Keast, Mary, Yao, Si Liang, Manning, Dion, Irwin, Isobel, Asim, Umair, Boggon, Emelia, Alkurd, Ibrahim, Lawerece, Genevieve, Brown, Jade, Murphy, Emily, Lambert, Evie, Guilford, Jeremy, Payne, Beth, Almulaifi, Mariam, Poacher, Arwel, Ganesananthan, Sashiananthan, Cunningham-Walker, Berenice, Spooner, Chloe, Kiran, Akanksha, Nadeem, Nabeegh, Unadkat, Vidhi, Sparey, Esme, Li, David, Smith, Jessica, Corrin, India, Kurani, Amit, McNulty, Paul, Brown, Ceri, Groblewski, Wojciech, Szoke, Szilvia, Redman, Amelia, McKeag, Esther, Donnir, Anastasia, Ravishangar, Gaautham, Howard, Emanuela, Salmon, Charlotte, Tanatova, Sara, Kew, Jasmine, Clark, Megan Eilis, Hannay, Ellen, Godsafe, Olesya, Houghton, Christina, Lavric, Francesca, Mallinson, Rachel, Littler, Chris, Reddy, Harsha, Campbell, Andrew, Soo, Benedict, Evans, Rachel, Donowho, Georgina, Cawthra, Alexandra, Davies, Maddison, Lawrence Ashman, Matthew, Scriven, Jamie, Vautrey, James, Seet, Shannon, Britton, Imogen, Hodgson, Abigail, Twohey, Emma, Robbins, Joseph, Yung Ling, Vanessa Yeo, Asjadi, Kimiya, Yee Shean, Carven Chin, McCarroll, Zoe, Amatotsero, Oritseweyimi, Priscilla Chan, Hei Man, Cho Hui, John Ng, Ashaye, Antonia, Acheampong, Josephine, Adeleye, Ayowade, Ahmed, Saber, Chrysostomou, Alexandra, Unwin, Harry, Ang, Eshen, McSwiney, Niamh, Lim, Yin Yin, Lee, Zong Xuan, Kulikouskaya, Svetlana, Zulkifili, Nur, Lim, Sheryl, Xin, Lim, Urazbayeva, Adiya, Ahmad Hanif, Nur Haslina, Ying, Yau Ke, Coleclough, Alice, Higgins, Eilis, Spencer, Naomi, Ng, Tze Gee, Booth, Sam, Wai Yee Ng, Stephanie, Subbe, Christian P, Patterson, Isabella, Chia, Wen Li, Mukit, Abdullah, Vivian Pak, Hei Yi, Lock, Felicity, Nalmpanti, Mariana, Thomas, Shôn Alun, Burgher, Tanisha, Zhen Yeo, Alfred Wei, Powell Jones, Siwan, Miles, Charlie, Perry, Millicent, Burton, Holly, Powell, Katharine, Nessa, Luthfun, Fadlalla, Aalaa, Morgan, Rhian, Hodges, Elizabeth, Heal, Amelia, Scott, Chloe, Tayler, Alice, Chandy, Thomas, Taufik, Abduahad, Cochrane, James, Willis, Samuel, Heng, Sieh Yen, Cooper, Alex, von der Pahlen, Henrik Graf, Talbot, Isabella, Roberts, Robin Gwyn, Smith, Jessica Sharma, Sweeney, Aisling, Roberts, Cerian, Bausor, Laura, Chania, Thomas, Daniah, Puw, Elen Wyn, Lyons, Ronan A, Hall, Judith E
    Publicado 2021
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    The Use of Different Sepsis Risk Stratification Tools on the Wards and in Emergency Departments Uncovers Different Mortality Risks: Results of the Three Welsh National Multicenter Point-Prevalence Studies
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