Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease by Peter R. Millar, Patrick H. Luckett, Brian A. Gordon, Tammie L.S. Benzinger, Suzanne E. Schindler, Anne M. Fagan, Carlos Cruchaga, Randall J. Bateman, Ricardo Allegri, Mathias Jucker, Jae-Hong Lee, Hiroshi Mori, Stephen P Salloway, Igor Yakushev, John C. Morris, Beau M. Ances, Sarah Adams, MS, Ricardo Allegri, PhD, Aki Araki, Nicolas Barthelemy, PhD, Randall Bateman, MD, Jacob Bechara, BS, Tammie Benzinger, MD, PhD, Sarah Berman, MD, PhD, Courtney Bodge, PhD, Susan Brandon, BS, William (Bill) Brooks, MBBS,MPH, Jared Brosch, MD, PhD, Jill Buck, BSN, Virginia Buckles, PhD, Kathleen Carter, PhD, Lisa Cash, BFA, Charlie Chen, BA, Jasmeer Chhatwal, MD,PhD, Patricio Chrem Mendez, MD, Jasmin Chua, BS, Helena Chui, MD, Laura Courtney, BS, Carlos Cruchaga, PhD, Gregory S Day, MD, Chrismary DeLaCruz, BA, Darcy Denner, PhD, Anna Diffenbacher, MS, Aylin Dincer, BS, Tamara Donahue, MS, Jane Douglas, MPh, Duc Duong, BS, Noelia Egido, BS, Bianca Esposito, BS, Anne Fagan, PhD, Marty Farlow, MD, Becca Feldman, BS,BA, Colleen Fitzpatrick, MS, Shaney Flores, BS, Nick Fox, MD, Erin Franklin, MS, Nelly Joseph-Mathurin, PhD, Hisako Fujii, PhD, Samantha Gardener, PhD, Bernardino Ghetti, MD, Alison Goate, PhD, Sarah Goldberg, MS,LPC,NCC, Jill Goldman, MS,MPhil,CGC, Alyssa Gonzalez, BS, Brian Gordon, PhD, Susanne Gräber-Sultan, PhD, Neill Graff-Radford, MD, Morgan Graham, BA, Julia Gray, MS, Emily Gremminger, BA, Miguel Grilo, MD, Alex Groves, Christian Haass, PhD, Lisa Häsler, MSc, Jason Hassenstab, PhD, Cortaiga Hellm, BA, Elizabeth Herries, BA, Laura Hoechst-Swisher, MS, Anna Hofmann, MD, Anna Hofmann, David Holtzman, MD, Russ Hornbeck, MSCS, MPM, Yakushev Igor, MD, Ryoko Ihara, MD, Takeshi Ikeuchi, MD, Snezana Ikonomovic, MD, Kenji Ishii, MD, Clifford Jack, MD, Gina Jerome, MS, Erik Johnson, MD, PHD, Mathias Jucker, PhD, Celeste Karch, PhD, Stephan Käser, PHD, Kensaku Kasuga, MD, Sarah Keefe, BS, William Klunk, MD, PHD, Robert Koeppe, PHD, Deb Koudelis, MHS,RN, Elke Kuder-Buletta, RN, Christoph Laske, PhD, Allan Levey, MD, PHD, Johannes Levin, MD, Yan Li, PHD, Oscar Lopez, MD, MD, Jacob Marsh, BA, Ralph Martins, PhD, Neal Scott Mason, PhD, Colin Masters, MD, Kwasi Mawuenyega, PhD, Austin McCullough, PhD Candidate, Eric McDade, DO, Arlene Mejia, MD, Estrella Morenas-Rodriguez, MD, PhD, John Morris, MD, James Mountz, MD, Cath Mummery, PhD, N eelesh Nadkarni, MD, PhD, Akemi Nagamatsu, RN, Katie Neimeyer, MS, Yoshiki Niimi, MD, James Noble, MD, Joanne Norton, MSN, RN, PMHCNS-BC, Brigitte Nuscher, Ulricke Obermüller, Antoinette O'Connor, MRCPI, Riddhi Patira, MD, Richard Perrin, MD, PhD, Lingyan Ping, PhD, Oliver Preische, MD, Alan Renton, PhD, John Ringman, MD, Stephen Salloway, MD, Peter Schofield, PhD, Michio Senda, MD, PhD, Nicholas T Seyfried, D.Phil, Kristine Shady, BA, BS, Hiroyuki Shimada, MD, PhD, Wendy Sigurdson, RN, Jennifer Smith, PhD, Lori Smith, PA-C, Beth Snitz, PhD, Hamid Sohrabi, PhD, Sochenda Stephens, BS, CCRP, Kevin Taddei, BS, Sarah Thompson, PA-C, Jonathan Vöglein, MD, Peter Wang, PhD, Qing Wang, PhD, Elise Weamer, MPH, Chengjie Xiong, PhD, Jinbin Xu, PhD, Xiong Xu, BS, MS

“…The model accurately predicted age in the training set. FC-predicted brain age gaps (FC-BAG) were significantly older in symptomatic AD and significantly younger in preclinical AD compared to controls. …”
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Does sibling family structure matter in the emotion understanding development in preschoolers? by Margarita Aslanova, Margarita Gavrilova, Margarita Gavrilova, Elena Iurina

“…The objective of the study was to investigate the impact of sibling family structure —including the number of children, age gaps, presence of a twin, sibling position, and gender composition — on emotion understanding and its development in children aged 5–6 years. …”
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Measuring health gaps between the rich and the poor: a review of the literature and its implications for health research in Africa by Amson Sibanda, Henry V. Doctor

“…Despite the enormous information on the subject area, it is not always easy to disentangle the independent effects of social class or socio-economic status (SES) on health inequalities from genetic or biological differences when analyzing racial/ethnic, gender or age gaps in mortality and morbidity. The meaning of SES or social class also varies from one culture to the other. …”
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Characterization of CL-20/HMX cocrystallization and its effects on GAP-based propellants during thermal aging process by Jiangtao Wang, Guanglong Zhang, Xiangyang Liu, Ningfei Wang

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Securing the future of soil science: Addressing global demographic barriers to engage youth and accelerate early careers by Axel Cerón-González, Huiying Ng, Jorge Ivelic-Saez, Arabela Vega-Aguilar, David T. Agbor, Sena Pacci, Bartłomiej Glina

“…However, persistent regional inequalities include gender-age gaps in the Near East and Northern Africa and delayed engagement in Sub-Saharan Africa. …”
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Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms by Yoonji Joo, Eun Namgung, Hyeonseok Jeong, Ilhyang Kang, Jinsol Kim, Sohyun Oh, In Kyoon Lyoo, Sujung Yoon, Jaeuk Hwang

“…Notably, this hybrid CNN-MLP algorithm effectively distinguished between mild cognitive impairment and Alzheimer’s disease groups by identifying variances in brain age gaps between them, highlighting the algorithm’s potential for clinical application. …”
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Magnetic Field Signatures of Intermediate-sized Impact Craters on Mars by Kuixiang Zhang, Aimin Du, Can Huang, Hao Luo, Lin Tian, Yasong Ge, Jipeng Qin, Lei Wang

“…To fill the impact crater age gaps of previous studies, we investigate the magnetic field signature of 23 intermediate-sized craters (150–500 km in diameter) on Mars using both MAVEN data and a magnetic field model. …”
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Petrography and stratigraphic Os isotopic ages of ferromanganese nodules from the Northwest Pacific east of Minamitorishima Island by Tatsuo Nozaki, Kosuke T. Goto, Yutaro Takaya, Kazuhiko Shimada, Akira Owada, Gen Shimoda, Jun-Ichi Kimura, Qing Chang, Tetsuji Onoue, Shiki Machida, Teruaki Ishii, Kenji Shimizu, Naoto Hirano, Kazuhide Mimura, Moei Yano, Junichiro Ohta, Yasuhiro Kato

“…These Os isotopic ages indicate that two periods of very slow growth or growth hiatuses occurred during the formation of the Fe–Mn nodule; these age gaps are related to the intermittent (discontinuous) timings of the beginning of Fe–Mn nodule formation offshore Minamitorishima Island.…”
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Exploring spousal disparities: Age, earnings, and education as predictors of intimate partner violence in 29 developing countries by Rafi Amir-ud-Din, Rubina Idrees, Javaria Farooqui, Abdus Sattar Abbasi

“…Women with more educated husbands faced higher odds of LSPV (OR = 1.044, 95% CI = 1.01, 1.08; p  < 0.05) and SV (OR = 1.085, 95% CI = 1.04, 1.14; p  < 0.01), with no significant association for SPV or EV. Larger spousal age gaps were consistently associated with a reduced probability of all IPV forms, particularly LSPV (OR = 0.765, 95% CI = 0.72, 0.81; p  < 0.001) and SV (OR = 0.656, 95% CI = 0.58, 0.74; p  < 0.001). …”
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No signs of neurodegenerative effects in 15q11.2 BP1-BP2 copy number variant carriers in the UK Biobank by Rune Boen, Tobias Kaufmann, Oleksandr Frei, Dennis van der Meer, Srdjan Djurovic, Ole A. Andreassen, Kaja K. Selmer, Dag Alnæs, Ida E. Sønderby

“…In this ageing population, the results from the machine learning models showed that the estimated brain age gaps did not differ between the 15q11.2 BP1-BP2 CNV carriers and non-carriers, despite deletion carriers displaying thicker cortex and lower subcortical volume compared to the deletion-controls and duplication carriers, and lower surface area compared to the deletion-controls. …”
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Sibling structure and educational achievement: How do the number of siblings, birth order, and birth spacing affect children’s vocabulary competences? by Claudia Karwath, Ilona Relikowski, Monja Schmitt

“…Having a larger number of siblings, being a later-born child as well as narrow age gaps between siblings can affect the parental resources available for each child, which may thus negatively affect educational outcome. …”
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Tree mortality and regeneration of Euphrates poplar riparian forests along the Tarim River, Northwest China by Ayjamal Keram, Ümüt Halik, Tayierjiang Aishan, Maierdang Keyimu, Kadeliya Jiapaer, Guolei Li

“…Results Our study found that the mortality of young and middle-aged gap makers has increased remarkably over recent decades, particularly since the year 1996. …”
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Intra-household joint decision making on child feeding and associated social determinants in rural districts of South Ethiopia: a multi-site concurrent mixed method study by Kassahun Fikadu, Abinet Takele, Biruk Tesfaye, Zeleke Hailemariam Abebo

“…Moreover, large family sizes, large age gaps between husbands and wives, and gender inequalities were identified as barriers to women’s engagement in intra-household decision making based on qualitative analysis.ConclusionIn the rural districts of southern Ethiopia, joint intra-household decision making regarding child feeding was found to be satisfactory. …”
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Brain age prediction using interpretable multi-feature-based convolutional neural network in mild traumatic brain injury by Xiang Zhang, Yizhen Pan, Tingting Wu, Wenpu Zhao, Haonan Zhang, Jierui Ding, Qiuyu Ji, Xiaoyan Jia, Xuan Li, Zhiqi Lee, Jie Zhang, Lijun Bai

“…The correlations between brain predicted age gaps (brain-PAG) following mTBI and individual's cognitive impairment, as well as the level of plasma neurofilament light were also examined. …”
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