Infants’ patterns of attachment to their mothers and fathers influence important developmental outcomes. Studies suggest that infants form discordant attachment patterns to mothers and fathers, and stress the importance of assessing infants’ parental attachment relationships to evaluate their integrative effects on how they function later in life. However, such studies are few, based on small samples, and not well‐designed longitudinally. Moreover, mixed results on how infants’ attachment patterns to mothers and fathers affect important developmental outcomes have resulted in theoretical inconsistencies regarding the model that best describes the organization of multiple attachment relationships and their effect on later development. In this article, we review research on the unsettled issue of infants’ network of attachment to mothers and fathers, and propose explanatory models that can be tested empirically; the methods we suggest are more robust and innovative than those that have been used traditionally.

In order to evaluate the potential genetic resources of the wild relatives of crop plants, allozyme variation at 28 loci was determined for 28 Israel populations of Hordeum spontaneum, the progenitor of cultivated barley. Etectrophoretic properties of these loci and their variants are described. The enzyme loci exhibited a great range of polymorphism, from one to fifteen alleles per locus being detected. The average probability that two gametes drawn randomly from this collection would differ genetically at a locus was 0.19. The evidence indicates that natural populations of this species represent very rich reserves of genetic variability.The extent of differentiation between populations at each locus was compared with that shown by variation in spikelet morphology. The allozyme diversity was apportioned into 17% between regions, 32% between populations within regions, and 51% within populations. In contrast, spikelet variation occurred predominantly between populations. This indicated the species is highly differentiated in phenotype between regions, and presumably allozyme variation is involved in this differentiation. These results support field sampling and evaluation strategies which stress the sampling of more sites at the expense of reducing numbers per site.

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In 1987, a microcomputer clinical algorithm (CA) system for constructing and using CAs for patient care was designed and implemented for six common primary care pediatrics problems. Six community clinic pediatricians agreed to use the system for several months. Length of patient's visit, completeness of data collection, antibiotic use, and appropriateness of clinical plan were measured before the computers were introduced (without CAs) and after the computers were introduced (both with and without CAs). All performance measures improved after the introduction of CAs. However, CA implementation had to be discontinued after five weeks because the CAs were too tedious for the physicians to follow during routine care. The authors conclude that CAs cannot be successfully sustained with physicians for common problems, even though their design and use can significantly improve the process of care.

Exposure to childhood adversity has been linked to accelerated telomere shortening, a marker of cellular aging and an indicator of physical health risk. In the current study, we examined whether adult attachment representation moderated the association between childhood adversity and telomere length. Participants included 78 young adults (M age = 20.46, SD = 1.57), who reported on their exposure to adverse childhood experiences (ACE) and were administered the Adult Attachment Interview, which was coded for attachment state of mind. Relative telomere length was assayed from buccal cells. Multiple regression analyses revealed a significant interaction between attachment state of mind and ACE in predicting telomere length. Whereas the association between number of ACE and telomere length was nonsignificant for secure-autonomous, r (50) = -.15, p = .31, and insecure-preoccupied young adults, r (9) = -.15, p = .71, there was a strong negative association between number of ACE and telomere length for insecure-dismissing young adults, r (19) = -.59, p = .007. This study is novel in demonstrating that attachment may affect biological resilience following childhood adversity, contributing to the growing literature about the role of the quality of early caregiving experiences and their representations in shaping biological processes and physical health.

An unsettled question in attachment theory and research is the extent to which children's attachment patterns with mothers and fathers jointly predict developmental outcomes. In this study, we used individual participant data meta-analysis to assess whether early attachment networks with mothers and fathers are associated with children's internalizing and externalizing behavioral problems. Following a pre-registered protocol, data from 9 studies and 1,097 children (mean age: 28.67 months) with attachment classifications to both mothers and fathers were included in analyses. We used a linear mixed effects analysis to assess differences in children's internalizing and externalizing behavioral problems as assessed via the average of both maternal and paternal reports based on whether children had two, one, or no insecure (or disorganized) attachments. Results indicated that children with an insecure attachment relationship with one or both parents were at higher risk for elevated internalizing behavioral problems compared with children who were securely attached to both parents. Children whose attachment relationships with both parents were classified as disorganized had more externalizing behavioral problems compared to children with either one or no disorganized attachment relationship with their parents. Across attachment classification networks and behavioral problems, findings suggest (a) an increased vulnerability to behavioral problems when children have insecure or disorganized attachment to both parents, and (b) that mother-child and father-child attachment relationships may not differ in the roles they play in children's development of internalizing and externalizing behavioral problems.

Early attachment has been commonly hypothesized to predict children's future developmental outcomes, and robust evidence relying on assessments of single caregiver-child attachment patterns has corroborated this hypothesis. Nevertheless, most often children are raised by multiple caregivers, and they tend to form attachment bonds with more than one of them. In this paper, we briefly describe the conceptual and empirical roots underlying the notion of attachment networks to multiple caregivers. We detail potential reasons for research focusing on a single caregiver (most often mothers, but recently also fathers) and the historical attempts to establish a more ecologically valid assessment of attachment to multiple caregivers. Finally, we describe a recently developed organizational framework that includes testable models on which future research may rely for assessing the predictive power of attachment networks to multiple caregivers on children's developmental outcomes. K E Y W O R D Sattachment, caregiver, child, father, mother, network I want to emphasize that, despite voices to the contrary, looking after babies and young children is no job for a single person.

Self-supervision techniques have allowed neural language models to advance the frontier in Natural Language Understanding. However, existing self-supervision techniques operate at the word form level, which serves as a surrogate for the underlying semantic content. This paper proposes a method to employ selfsupervision directly at the word sense level. Our model, named SenseBERT, is pre-trained to predict not only the masked words but also their WordNet supersenses. Accordingly, we attain a lexical-semantic level language model, without the use of human annotation. Sense-BERT achieves significantly improved lexical understanding, as we demonstrate by experimenting on SemEval, and by attaining a state of the art result on the Word in Context (WiC) task. Our approach is extendable to other linguistic signals, which can be similarly integrated into the pre-training process, leading to increasingly semantically informed language models.