Y. X. Rachel Wang, Purnamrita Sarkar, Oana Ursu, Anshul Kundaje, Peter J. Bickel.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1511--1536.

Abstract:
Chromosome conformation capture experiments such as Hi-C are used to map the three-dimensional spatial organization of genomes. One specific feature of the 3D organization is known as topologically associating domains (TADs), which are densely interacting, contiguous chromatin regions playing important roles in regulating gene expression. A few algorithms have been proposed to detect TADs. In particular, the structure of Hi-C data naturally inspires application of community detection methods. However, one of the drawbacks of community detection is that most methods take exchangeability of the nodes in the network for granted; whereas the nodes in this case, that is, the positions on the chromosomes, are not exchangeable. We propose a network model for detecting TADs using Hi-C data that takes into account this nonexchangeability. In addition, our model explicitly makes use of cell-type specific CTCF binding sites as biological covariates and can be used to identify conserved TADs across multiple cell types. The model leads to a likelihood objective that can be efficiently optimized via relaxation. We also prove that when suitably initialized, this model finds the underlying TAD structure with high probability. Using simulated data, we show the advantages of our method and the caveats of popular community detection methods, such as spectral clustering, in this application. Applying our method to real Hi-C data, we demonstrate the domains identified have desirable epigenetic features and compare them across different cell types.

Stephen E. Fienberg

Source: Ann. Appl. Stat., Volume 4, Number 2, 533--534.

Jong Hee Park, Yunkyu Sohn.

Source: Bayesian Analysis, Volume 15, Number 1, 133--157.

Abstract:
Dynamic modeling of longitudinal networks has been an increasingly important topic in applied research. While longitudinal network data commonly exhibit dramatic changes in its structures, existing methods have largely focused on modeling smooth topological changes over time. In this paper, we develop a hidden Markov network change-point model (HNC) that combines the multilinear tensor regression model (Hoff, 2011) with a hidden Markov model using Bayesian inference. We model changes in network structure as shifts in discrete states yielding particular sets of network generating parameters. Our simulation results demonstrate that the proposed method correctly detects the number, locations, and types of changes in latent node characteristics. We apply the proposed method to international military alliance networks to find structural changes in the coalition structure among nations.

Qingpo Cai, Jian Kang, Tianwei Yu.

Source: Bayesian Analysis, Volume 15, Number 1, 79--102.

Abstract:
Selecting informative nodes over large-scale networks becomes increasingly important in many research areas. Most existing methods focus on the local network structure and incur heavy computational costs for the large-scale problem. In this work, we propose a novel prior model for Bayesian network marker selection in the generalized linear model (GLM) framework: the Thresholded Graph Laplacian Gaussian (TGLG) prior, which adopts the graph Laplacian matrix to characterize the conditional dependence between neighboring markers accounting for the global network structure. Under mild conditions, we show the proposed model enjoys the posterior consistency with a diverging number of edges and nodes in the network. We also develop a Metropolis-adjusted Langevin algorithm (MALA) for efficient posterior computation, which is scalable to large-scale networks. We illustrate the superiorities of the proposed method compared with existing alternatives via extensive simulation studies and an analysis of the breast cancer gene expression dataset in the Cancer Genome Atlas (TCGA).

Anna L. Smith, Dena M. Asta, Catherine A. Calder.

Source: Statistical Science, Volume 34, Number 3, 428--453.

Abstract:
We review the class of continuous latent space (statistical) models for network data, paying particular attention to the role of the geometry of the latent space. In these models, the presence/absence of network dyadic ties are assumed to be conditionally independent given the dyads’ unobserved positions in a latent space. In this way, these models provide a probabilistic framework for embedding network nodes in a continuous space equipped with a geometry that facilitates the description of dependence between random dyadic ties. Specifically, these models naturally capture homophilous tendencies and triadic clustering, among other common properties of observed networks. In addition to reviewing the literature on continuous latent space models from a geometric perspective, we highlight the important role the geometry of the latent space plays on properties of networks arising from these models via intuition and simulation. Finally, we discuss results from spectral graph theory that allow us to explore the role of the geometry of the latent space, independent of network size. We conclude with conjectures about how these results might be used to infer the appropriate latent space geometry from observed networks.

William W. Seeley
Feb 28, 2007; 27:2349-2356
BehavioralSystemsCognitive

Xiao-Jing Wang
Oct 15, 1996; 16:6402-6413
Articles

William W. Seeley
Feb 28, 2007; 27:2349-2356
BehavioralSystemsCognitive

Giving birth triggers a wide repertoire of physiological and behavioral changes in the mother to enable her to feed and care for her offspring. These changes require coordination and are often orchestrated from the CNS, through as of yet poorly understood mechanisms. A neuronal population with a central role in puerperal changes is the tuberoinfundibular dopamine (TIDA) neurons that control release of the pituitary hormone, prolactin, which triggers key maternal adaptations, including lactation and maternal care. Here, we used Ca²⁺ imaging on mice from both sexes and whole-cell recordings on female mouse TIDA neurons in vitro to examine whether they adapt their cellular and network activity according to reproductive state. In the high-prolactin state of lactation, TIDA neurons shift to faster membrane potential oscillations, a reconfiguration that reverses upon weaning. During the estrous cycle, however, which includes a brief, but pronounced, prolactin peak, oscillation frequency remains stable. An increase in the hyperpolarization-activated mixed cation current, I_h, possibly through unmasking as dopamine release drops during nursing, may partially explain the reconfiguration of TIDA rhythms. These findings identify a reversible plasticity in hypothalamic network activity that can serve to adapt the dam for motherhood.

SIGNIFICANCE STATEMENT Motherhood requires profound behavioral and physiological adaptations to enable caring for offspring, but the underlying CNS changes are poorly understood. Here, we show that, during lactation, neuroendocrine dopamine neurons, the "TIDA" cells that control prolactin secretion, reorganize their trademark oscillations to discharge in faster frequencies. Unlike previous studies, which typically have focused on structural and transcriptional changes during pregnancy and lactation, we demonstrate a functional switch in activity and one that, distinct from previously described puerperal modifications, reverses fully on weaning. We further provide evidence that a specific conductance (I_h) contributes to the altered network rhythm. These findings identify a new facet of maternal brain plasticity at the level of membrane properties and consequent ensemble activity.

'Creative Music Making' Documentary to Air on Nine Network - MPress  Maryville University News

Bank of Italy Working Papers by Giorgio Albareto, Andrea Cardillo, Andrea Hamaui and Giuseppe Marinelli

BACKGROUND AND OBJECTIVES:

Use of specific services may help to optimize health for children with autism spectrum disorder (ASD); however, little is known about their service use patterns. We aimed to (1) define service use groups and (2) determine associations of sociodemographic, developmental, behavioral, and health characteristics with service use groups among school-aged children with ASD.

BACKGROUND AND OBJECTIVES:

Families of children with autism spectrum disorder (ASD) often experience challenges navigating multiple systems to access services. Family navigation (FN) is a model to provide information and support to access appropriate services. Few studies have been used to examine FN’s effectiveness for families of children with ASD. This study used mixed methods to (1) characterize FN services received by a sample of families in the Autism Treatment Network; (2) examine change in parent-reported activation, family functioning, and caregiver strain; and (3) explore families’ experiences with FN services.

Family involvement in the Autism Intervention Research Network on Physical Health, the Autism Treatment Network, and the Autism Learning Health Network, jointly the Autism Networks, has evolved and grown into a meaningful and robust collaboration between families, providers, and researchers. Family involvement at the center of the networks includes both local and national network-wide coproduction and contribution. Family involvement includes actively co-authoring research proposals for large grants, equal membership of network committees and workgroups, and formulating quality improvement pathways for local recruitment efforts and other network initiatives. Although families are involved in every aspect of network activity, families have been the driving force of specifically challenging the networks to concentrate research, education, and dissemination efforts around 3 pillar initiatives of addressing comorbidities of anxiety, attention-deficit/hyperactivity disorder, and irritability in autism during the networks’ upcoming funding cycle. The expansion of the networks’ Extension for Community Healthcare Outcomes program is an exciting network initiative that brings best practices in autism care to community providers. As equal hub members of each Extension for Community Healthcare Outcomes team, families ensure that participants are intimately cognizant of family perspectives and goals. Self-advocacy involvement in the networks is emerging, with plans for each site to have self-advocacy representation by the spring of 2020 and ultimately forming their own coproduction committee. The Autism Treatment Network, the Autism Intervention Research Network on Physical Health, and the Autism Learning Health Network continue to be trailblazing organizations in how families are involved in the growth of their networks, production of meaningful research, and dissemination of information to providers and families regarding emerging work in autism spectrum disorders.

OBJECTIVES:

To summarize baseline data and lessons learned from the Autism Learning Health Network, designed to improve care and outcomes for children with autism spectrum disorder (ASD). We describe challenging behaviors, co-occurring medical conditions, quality of life (QoL), receipt of recommended health services, and next steps.

The Autism Treatment Network and Autism Intervention Research Network on Physical Health were established in 2008 with goals of improving understanding of the medical aspects of autism spectrum disorders. Over the past decade, the combined network has conducted >2 dozen clinical studies, established clinical pathways for best practice, developed tool kits for professionals and families to support better care, and disseminated these works through numerous presentations at scientific meetings and publications in medical journals. As the joint network enters its second decade continuing this work, it is undergoing a transformation to increase these activities and accelerate their incorporation into clinical care at the primary care and specialty care levels. In this article, we describe the past accomplishments and present activities. We also outline planned undertakings such as the establishment of the Autism Learning Health Network, the increasing role of family members as co-producers of the work of the network, the growth of clinical trials activities with funding from foundations and industry, and expansion of work with primary care practices and autism specialty centers. We also discuss the challenges of supporting network activities and potential solutions to sustain the network.

New, effective approaches to obesity prevention are urgently needed. Social network interventions warrant our attention. Social networks play a significant role in adult and adolescent obesity. The role of social networks in pediatric obesity has not been examined.

Afterschool friendship ties play a critical role in setting physical activity patterns in children as young as 5 to 12 years. Children’s activity levels can be changed by the activity level of their social network during a 12-week afterschool program. (Read the full article)

Trisomy 13 and 18 are conditions with 1-year survival rates of less than 10% and have traditionally been treated with palliative care. There are increasing reports of ethical dilemmas caused by parental requests for clinical interventions.

Parents who belong to social networks report an enriching family experience and describe surviving children as happy. Many of these parents describe challenging encounters with health care providers. (Read the full article)

Most term and late preterm infants with neonatal encephalopathy have not had recognized asphyxial birth events. Several nonasphyxial risk factors for neonatal encephalopathy have been identified in previous studies.

In a large sample, we confirm the association of several nonasphyxial factors with neonatal encephalopathy, including markers of intrauterine exposure to infection or inflammation, intrauterine fetal growth restriction, and birth defects. We identify steps that would improve studies of neonatal encephalopathy. (Read the full article)

Recent investigations of pubertal onset in US girls suggest earlier maturation. The situation for US boys is unknown, and existing investigations are outdated and lack information on a key physical marker of male puberty: testicular enlargement.

US boys appear to be developing secondary sexual characteristics and achieving testicular enlargement 6 months to 2 years earlier than commonly used norms, with African American boys entering Tanner stages 2 to 4 earlier than white or Hispanic boys. (Read the full article)

Previous studies have suggested that health care providers, family members, friends, and others play a role in shaping parents’ vaccination decisions. Other research has suggested that the media can influence whether parents decide to vaccinate their children.

Through the application of social network analysis, this study formally examines and quantifies how parents are influenced by the people and sources around them. Its findings suggest that social networks are important, particularly for parents who do not completely vaccinate. (Read the full article)

Application of antenatal corticosteroids to mothers before delivery is highly beneficial to very low birth weight infants. Yet despite widespread quality improvement efforts, many eligible infants fail to receive this therapy.

We demonstrate improvement in antenatal corticosteroid use during the study period. However, significant regional variation persists, which network-level quality improvement efforts might help eliminate. (Read the full article)

The Student Engagement Network's Faculty Academy funds projects developed by Penn State faculty that result in transformative experiences that complement student engagement.

Spotty Wi-Fi in certain areas of you home? A mesh network system can bring seamless connectivity to every corner. Here's what you need to know to choose the right system and set it up for optimal performance.

Have a larger home with Wi-Fi dead zones? A multi-node system might be a better solution than a traditional wireless router with extenders. Here are the best Wi-Fi mesh network systems we've tested in our labs.

Shoo K. Lee
Nov 1, 2000; 106:1070-1079
ARTICLES

Marcia E. Herman-Giddens
Apr 1, 1997; 99:505-512
ARTICLES

Betty R. Vohr
Jun 1, 2000; 105:1216-1226
ARTICLES

Barbara J. Stoll
Aug 1, 2002; 110:285-291
ARTICLES

Barbara J. Stoll
Sep 1, 2010; 126:443-456
ARTICLES

Across Pennsylvania, the Invent Penn State innovation hub network has pivoted to deliver needed programming and services online, by providing online mentoring, webinars, virtual speaker series, and a Virtual Idea TestLab.

The Washington Post report may force the White House to reconsider relaxing trade restrictions on Huawei, which is currently blacklisted from sourcing components from US technology suppliers.

Prime Minister Boris Johnson will reportedly announce the news before year's end, in a move that could disrupt relationships between the UK and US government.

Connected storage is more versatile storage, but that's just one of the many benefits of buying a NAS device. We've tested the top models to tell you which one will work best for your home or small business.

A new rule proposed by the Federal Aviation Administration would make it possible for the United States government to track almost all drones in the country.

Lebanon’s Ministry of Telecommunications has been authorized by the Cabinet to temporarily operate the country’s two cellular networks until a new tender is launched, Minister of Telecommunications Talal Hawat said Tuesday.

With TikTok, Dailyhunt, ShareChat and even OTT players Zee5, Amazon Prime and Hoichoi letting users post, watch and share content in the language of their choice, few are spending considerable time on Facebook.

Ashish Bhasin, CEO, Dentsu Aegis Network (DAN) Greater South, will now take on the newly created role of CEO, DAN, APAC. Based in Singapore, Bhasin will report to Takaki Hibino, executive chairman, DAN APAC . He will remain the chairman of DAN India. Anand Bhadkamkar, the former COO and CFO, South Asia, has been promoted […]

Alireza Mansouri and Fattaneh Taghiyareh: Human interactions and opinion exchanges lead to social opinion dynamics, which is well described by opinion formation models. In these models, a random parameter is usually considered as the system noise, indicating the individual's inexplicable opinion changes. This noise could be an indicator of any other influential factors, such as public media, affects, and emotions. We study phase transitions, changes from one social phase to another, for various noise levels in a discrete opinion formation model based on the social impact theory with a scale-free random network as its interaction network topology. We also generate another similar model using the concept of social power based on the agents' node degrees in the interaction network as an estimation for their persuasiveness and supportiveness strengths and compare both models from phase transition viewpoint. We show by agent-based simulation and analytical considerations how opinion phases, including majority and non-majority, are formed in terms of the initial population of agents in opinion groups and noise levels. Two factors affect the system phase in equilibrium when the noise level increases: breaking up more segregated groups and dominance of stochastic behavior of the agents on their deterministic behavior. In the high enough noise levels, the system reaches a non-majority phase in equilibrium, regardless of the initial combination of opinion groups. In relatively low noise levels, the original model and the model whose agents' strengths are proportional to their centrality have different behaviors. The presence of a few high-connected influential leaders in the latter model consequences a different behavior in reaching equilibrium phase and different thresholds of noise levels for phase transitions.

Katarzyna Growiec, Jakub Growiec and Bogumił Kamiński: We study the impact of endogenous creation and destruction of social ties in an artificial society on aggregate outcomes such as generalized trust, willingness to cooperate, social utility and economic performance. To this end we put forward a computational multi-agent model where agents of overlapping generations interact in a dynamically evolving social network. In the model, four distinct dimensions of individuals’ social capital: degree, centrality, heterophilous and homophilous interactions, determine their generalized trust and willingness to cooperate, altogether helping them achieve certain levels of social utility (i.e., utility from social contacts) and economic performance. We find that the stationary state of the simulated social network exhibits realistic small-world topology. We also observe that societies whose social networks are relatively frequently reconfigured, display relatively higher generalized trust, willingness to cooperate, and economic performance – at the cost of lower social utility. Similar outcomes are found for societies where social tie dissolution is relatively weakly linked to family closeness.

Szymon Talaga and Andrzej Nowak: Real-world social networks often exhibit high levels of clustering, positive degree assortativity, short average path lengths (small-world property) and right-skewed but rarely power law degree distributions. On the other hand homophily, defined as the propensity of similar agents to connect to each other, is one of the most fundamental social processes observed in many human and animal societies. In this paper we examine the extent to which homophily is sufficient to produce the typical structural properties of social networks. To do so, we conduct a simulation study based on the Social Distance Attachment (SDA) model, a particular kind of Random Geometric Graph (RGG), in which nodes are embedded in a social space and connection probabilities depend functionally on distances between nodes. We derive the form of the model from first principles based on existing analytical results and argue that the mathematical construction of RGGs corresponds directly to the homophily principle, so they provide a good model for it. We find that homophily, especially when combined with a random edge rewiring, is sufficient to reproduce many of the characteristic features of social networks. Additionally, we devise a hybrid model combining SDA with the configuration model that allows generating homophilic networks with arbitrary degree sequences and we use it to study interactions of homophily with processes imposing constraints on degree distributions. We show that the effects of homophily on clustering are robust with respect to distribution constraints, while degree assortativity can be highly dependent on the particular kind of enforced degree sequence.

H K Digital Online comprises of some leading names in real estate, automotive, healthcare, cosmetics, engineering industries and so on. The company has been offering industry specifications to the clients.

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NEW CASTLE (Oct. 2, 2018) – The Department of Health and Social Services’ Division of Substance Abuse and Mental Health (DSAMH) last week launched its online referral network – Delaware Treatment and Referral Network (DTRN) – allowing Delaware health care providers seeking substance use disorder treatment or mental health services for their patients to make […]

NEW CASTLE (January 10, 2019) – More than 500 people are expected to attend the 2019 LIFE Conference, the largest annual cross-disability conference in support of people with disabilities and their families, on Thursday, January 31, at Dover Downs Hotel and Conference Center. The conference brings together people with disabilities, their families and professionals for […]

NEW CASTLE (October 9, 2019) – The Department of Health and Social Services (DHSS) is seeking applications from Delaware health care providers for one-time, health information exchange (HIE) support mini-grants to adopt the full range of health information exchange tools offered by the Delaware Health Information Network (DHIN). DHIN is Delaware’s Health Information Exchange (HIE) […]

SAS Global Forum 2020 is not the conference experience we thought it would be. Thousands of us had planned to gather in person to share our enthusiasm and knowledge about SAS and power of data and analytics. We were going to combine our skills and knowledge to inspire one another [...]

The post How to share your SAS knowledge with your professional network appeared first on The SAS Dummy.

The company is currently addressing the upgrade and downgrade requirements of customers, based on demand.

The President of One America News Network, Charles Herring, has published a blistering letter calling on Vanity Fair to retract claims that Donald Trump’s eldest son secretly bought a stake in the news outlet.
Read Full Article at RT.com