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Title Authors PubMed ID
1 Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search Alicia Estefania Antonio Figueroa 41751647
CONCORDIA
2 Capacitive bimetallic redox cycles and ligand-to-metal charge transfer to Boost denitrification with Ni sup II /sup /Fe sup II /sup -Gallic acid phenolic networks Yu S; Jin Y; Guo T; Li H; Liu W; Chen Z; Wang X; Guo J; 41707775
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3 Distinguishing Between Healthy and Unhealthy Newborns Based on Acoustic Features and Deep Learning Neural Networks Tuned by Bayesian Optimization and Random Search Algorithm Lahmiri S; Tadj C; Gargour C; 41294952
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4 Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles Rattray GF; Jourde HR; Baillet S; Coffey EBJ; 41002111
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5 Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks Cheng M; He S; Pan Y; Lin M; Zhu WP; 40942666
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6 Efficient neural encoding as revealed by bilingualism Moore C; Donhauser PW; Klein D; Byers-Heinlein K; 40828024
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7 Personalizing brain stimulation: continual learning for sleep spindle detection Sobral M; Jourde HR; Marjani Bajestani SE; Coffey EBJ; Beltrame G; 40609549
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8 Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting Ahmed U; Mahmood A; Khan AR; Kuhlmann L; Alimgeer KS; Razzaq S; Aziz I; Hammad A; 40185800
PHYSICS
9 Large language models deconstruct the clinical intuition behind diagnosing autism Stanley J; Rabot E; Reddy S; Belilovsky E; Mottron L; Bzdok D; 40147442
ENCS
10 Psychosocial Function in Mild Cognitive Impairment: Social Participation is Associated With Cognitive Performance in Multiple Domains Rehan S; Phillips NA; 39773214
CONCORDIA
11 Asymmetric autocatalytic reactions and their stationary distribution Gallinger C; Popovic L; 39679357
MATHSTATS
12 MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle McKay MJ; Weber KA; Wesselink EO; Smith ZA; Abbott R; Anderson DB; Ashton-James CE; Atyeo J; Beach AJ; Burns J; Clarke S; Collins NJ; Coppieters MW; Cornwall J; Crawford RJ; De Martino E; Dunn AG; Eyles JP; Feng HJ; Fortin M; Franettovich Smith MM; Galloway G; Gandomkar Z; Glastras S; Henderson LA; Hides JA; Hiller CE; Hilmer SN; Hoggarth MA; Kim B; Lal N; LaPorta L; Magnussen JS; Maloney S; March L; Nackley AG; O' Leary SP; Peolsson A; Perraton Z; Pool-Goudzwaard AL; Schnitzler M; Seitz AL; Semciw AI; Sheard PW; Smith AC; Snodgrass SJ; Sullivan J; Tran V; Valentin S; Walton DM; Wishart LR; Elliott JM; 39590726
HKAP
13 A protocol for trustworthy EEG decoding with neural networks Borra D; Magosso E; Ravanelli M; 39549492
ENCS
14 Near-optimal learning of Banach-valued, high-dimensional functions via deep neural networks Adcock B; Brugiapaglia S; Dexter N; Moraga S; 39454372
MATHSTATS
15 Deep neural network-based robotic visual servoing for satellite target tracking Ghiasvand S; Xie WF; Mohebbi A; 39440297
ENCS
16 Generalization limits of Graph Neural Networks in identity effects learning D' Inverno GA; Brugiapaglia S; Ravanelli M; 39426036
ENCS
17 Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks Abicumaran Uthamacumaran 39420135
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18 A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications Espinosa S; Silva JF; Céspedes S; 39056958
ENCS
19 Social network dynamics, infant loss, and gut microbiota composition in female Colobus vellerosus during time periods with alpha male challenges Samartino S; Christie D; Penna A; Sicotte P; Ting N; Wikberg E; 38735025
BIOLOGY
20 The immunomodulatory effect of oral NaHCO3 is mediated by the splenic nerve: multivariate impact revealed by artificial neural networks Alvarez MR; Alkaissi H; Rieger AM; Esber GR; Acosta ME; Stephenson SI; Maurice AV; Valencia LMR; Roman CA; Alarcon JM; 38549144
CSBN
21 CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets Islam M; Zunair H; Mohammed N; 38492455
ENCS
22 The role of frailty in the relationships between social relationships and health outcomes: a longitudinal study Fereshteh Mehrabi 38402184
PSYCHOLOGY
23 Heterogeneous dispersal networks to improve biodiversity science Savary P; Lessard JP; Peres-Neto PR; 37891075
BIOLOGY
24 Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach Yang L; Tao J; Liu YH; Xu Y; Su CY; 36848827
ENCS
25 Mutualistic coevolution and community diversity favour persistence in metacommunities under environmental changes Cosmo LG; Sales LP; Guimarães PR; Pires MM; 36629106
BIOLOGY
26 Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach Pan J; Huang J; Cheng G; Zeng Y; 36375347
ENCS
27 Cancer Survivors' Evolving Perceptions of a New Supportive Virtual Program Robb A; Brown TL; Durand A; Loiselle CG; 36354724
PSYCHOLOGY
28 A Review of Mathematical and Computational Methods in Cancer Dynamics Uthamacumaran A; Zenil H; 35957879
PHYSICS
29 Dissecting cell fate dynamics in pediatric glioblastoma through the lens of complex systems and cellular cybernetics Abicumaran Uthamacumaran 35678918
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30 Celebrity Couples as Business Families: A Social Network Perspective Gorji Y; Carney M; Prakash R; 34931108
CONCORDIA
31 Comment on the article "Spatially-extended nucleation-aggregation-fragmentation models for the dynamics of prion-like neurodegenerative protein-spreading in the brain and its connectome 486 (2020) 110102" Arsalan Rahimabadi 34843739
PERFORM
32 Comparative Evaluation of Artificial Neural Networks and Data Analysis in Predicting Liposome Size in a Periodic Disturbance Micromixer Ocampo I; López RR; Camacho-León S; Nerguizian V; Stiharu I; 34683215
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33 Dynamic Covalent Polyurethane Network Materials: Synthesis and Self-healability Nellepalli P; Patel T; Oh JK; 34418209
CHEMBIOCHEM
34 COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans Heidarian S; Afshar P; Enshaei N; Naderkhani F; Rafiee MJ; Babaki Fard F; Samimi K; Atashzar SF; Oikonomou A; Plataniotis KN; Mohammadi A; 34113843
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35 X-Vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection From Speech Jeancolas L; Petrovska-Delacrétaz D; Mangone G; Benkelfat BE; Corvol JC; Vidailhet M; Lehéricy S; Benali H; 33679361
PERFORM
36 The Epistemology of Evolutionary Psychology Offers a Rapprochement to Cultural Psychology Gad Saad 33224071
JMSB
37 Metabolic networks of the human gut microbiota. Selber-Hnatiw S, Sultana T, Tse W, Abdollahi N, Abdullah S, Al Rahbani J, Alazar D, Alrumhein NJ, Aprikian S, Arshad R, Azuelos JD, Bernadotte D, Beswick N, Chazbey H, Church K, Ciubotaru E, D'Amato L, Del Corpo T, Deng J, Di Giulio BL, Diveeva D, Elahie E, Frank JGM, Furze E, Garner R, Gibbs V, Goldberg-Hall R, Goldman CJ, Goltsios FF, Gorjipour K, Grant T, Greco B, Guliyev N, Habrich A, Hyland H, Ibrahim N, Iozzo T, Jawaheer-Fenaoui A, Jaworski JJ, Jhajj MK, Jones J, Joyette R, Kaudeer S, Kelley S, Ki 31799915
BIOLOGY
38 Maternal Knowing and Social Networks: Understanding First-Time Mothers' Search for Information and Support Through Online and Offline Social Networks. Price SL, Aston M, Monaghan J, Sim M, Tomblin Murphy G, Etowa J, Pickles M, Hunter A, Little V 29281945
CONCORDIA

 

Title:Social network dynamics, infant loss, and gut microbiota composition in female Colobus vellerosus during time periods with alpha male challenges
Authors:Samartino SChristie DPenna ASicotte PTing NWikberg E
Link:https://pubmed.ncbi.nlm.nih.gov/38735025/
DOI:10.1007/s10329-024-01132-w
Publication:Primates, journal of primatology
Keywords:ColobusAlpha male takeoverGut microbiotaMicrobe transmissionSocial networks
PMID:38735025 Category: Date Added:2024-05-12
Dept Affiliation: BIOLOGY
1 Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, USA. shelby.samartino@gmail.com.
2 Department of Anthropology and Institute of Ecology and Evolution, University of Oregon, Eugene, OR, USA.
3 Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, USA.
4 Department of Biology, Concordia University, Montreal, QC, Canada.
5 Department of Anthropology, University of Texas at San Antonio, San Antonio, TX, USA. eva.wikberg@utsa.edu.

Description:

The gut microbiota of group-living animals is strongly influenced by their social interactions, but it is unclear how it responds to social instability. We investigated whether social instability associated with the arrival of new males and challenges to the alpha male position could explain differences in the gut microbiota in adult female Colobus vellerosus at Boabeng-Fiema, Ghana. First, we used a data set collected during May-August 2007 and May 2008-2009 that consisted of (i) 50 fecal samples from adult females in eight social groups for V4 16S rRNA sequencing to determine gut microbiota composition, and (ii) demographic and behavioral data ad libitum to determine male immigration, challenges to the alpha male position, and infant births and deaths. Sørensen and Bray-Curtis beta diversity indices (i.e., between-sample microbiota variation) were predicted by year, alpha male stability, group identity, and age. Next, we used a more detailed behavioral data set collected during focal observations of adult females in one group with a prolonged alpha male takeover and three cases of infant loss, to create 12-month versus 3-month 1-m proximity networks that preceded and overlapped the gut microbiome sampling period in that group. The long versus short-term networks were not correlated, suggesting temporal variation in proximity networks. In this group, beta diversity among the five adult females was predicted by similarity in infant loss status and short-term (rather than yearly) 1-m proximity ties. Although the mechanism driving this association needs to be further investigated in future studies, our findings indicate that alpha male takeovers are associated with gut microbiota variation and highlight the importance of taking demographic and social network dynamics into account.





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