America's Housing Supply Problem: The Closing of the Suburban Frontier?

Functional connectivity MRI (fcMRI) has become instrumental in facilitating research of human brain network organization in terms of coincident interactions between positive and negative synchronizations of large-scale neuronal systems. Although there is a common agreement concerning the interpretation of positive couplings between brain areas, a major debate has been made in disentangling the nature of negative connectivity patterns in terms of its emergence in several methodological approaches and its significance/meaning in specific neuropsychiatric diseases. It is still not clear what information the functional negative correlations or connectivity provides or how they relate to the positive connectivity. Through implementing stepwise functional connectivity (SFC) analysis and studying the causality of functional topological patterns, this study aims to shed light on the relationship between positive and negative connectivity in the human brain functional connectome. We found that the strength of negative correlations between voxel-pairs relates to their positive connectivity path-length. More importantly, our study describes how the spatio-temporal patterns of positive connectivity explain the evolving changes of negative connectivity over time, but not the other way around. This finding suggests that positive and negative connectivity do not display equivalent forces but shows that the positive connectivity has a dominant role in the overall human brain functional connectome. This phenomenon provides novel insights about the nature of positive and negative correlations in fcMRI and will potentially help new developments for neuroimaging biomarkers.

Background and Study Aim. It is increasingly important to know the influence of age characteristics on the development of motor skills necessary for gymnastics. Currently, this influence is taken into consideration in the training of young female gymnasts. This study aims to determine the anthropometric indices impact on static and dynamic balance parameters in young female gymnasts. Material and Methods. A group of 24 young gymnasts, from the Arad Municipal Sports Club of Romania, participated in this study. The athletes, aged 6-10 years, were divided into two groups: G1 (6-8 years, n=17) and G2 (9-10 years, n=7). Anthropometric indices were measured by means of Tanita scale. The following indices were monitored: Height (cm), Weight (kg), FATP (%), FATM (kg), FFM (kg), BMI (kg/m2). Balance was evaluated with the Sensamove MiniBoard platform. There were used tests as follows: Static Bipedal Balance (SBB), Lateral Bipedal Balance (LBB) and Vertical Bipedal Balance (VBB). Measured parameters: performance (%); front and back inside (LBB, %); left and right inside (VBB, %); front and back avg. deviation (grade); left and right avg. deviation (degrees). The influence of anthropometric indices on balance parameters was determined using Pearson correlation coefficient. Results. The comparative analysis between groups highlights: average age; relation between weight and height; values of body composition indices. The comparative analysis shows better performances by 2.23% in G1 at SBB and values smaller by 0.35 degrees at average vertical deviations. LBB has better performances in G1 by 10.05% and higher values by 1.79% at keeping inside the vertical space. There is a smaller difference between Confidence Limit of Mean (CLM). As for VBB, the performances are better by 0.41% in G2, keeping inside the space to the left in G1 and to the right in G2. The correlation analysis regarding SB reveals 20% strong connections, 83.3% positive connections with performance and 45.8% negative ones with average deviations in G1. The following were noticed in G2: lack of strong connections, 33.3% positive connections and 25% negative influences. In terms of LBB, G1 has no strong connections, but it has 72.2% positive connections and 45.8% negative connections. G2 is characterized as follows: 7.1% strong connections, absence of positive connections, 75% - negative connections. VBB presents the following values in G1: 28.6% - strong connections and 45.8% - negative connections. G2 has 9.5% - strong connections, 94.4% - positive connections and 75% - negative ones. Conclusions. By determining the anthropometric indices, the age characteristics of female gymnasts were highlighted. The comparative analysis results of balance parameters reveal better performances and lower values at the average vertical and lateral deviations. Comparing the relationships between anthropometric indices and balance parameters reveals strong connections. It also shows the weight of positive and negative connections with performance, keeping inside the space and value of average deviations. These data can serve as methodological recommendations in future studies.

This paper aims to better understand the physiological meaning of negative correlations in resting state functional connectivity MRI (r-fcMRI). The correlations between anatomy-based brain regions of 18 healthy humans were calculated and analyzed with and without a correction for global signal and with and without spatial smoothing. In addition, correlations between anatomy-based brain regions of 18 naïve anesthetized rats were calculated and compared to the human data. T-statistics were used to differentiate between positive and negative connections. The application of spatial smoothing and global signal correction increased the number of significant positive connections but their effect on negative connections was complex. Positive connections were mainly observed between cortical structures while most negative connections were observed between cortical and non-cortical structures with almost no negative connections between non-cortical structures. In both human and rats, negative connections were never observed between bilateral homologous regions. The main difference between positive and negative connections in both the human and rat data was that positive connections became less significant with time-lags, while negative connections became more significant with time-lag. This effect was evident in all four types of analyses (with and without global signal correction and spatial smoothing) but was most significant in the analysis with no correction for the global signal. We hypothesize that the valence of r-fcMRI connectivity reflects the relative contributions of cerebral blood volume (CBV) and flow (CBF) to the BOLD signal and that these relative contributions are location-specific. If cerebral circulation is primarily regulated by CBF in one region and by CBV in another, a functional connection between these regions can manifest as an r-fcMRI negative and time-delayed correlation. Similarly, negative correlations could result from spatially inhomogeneous responses of rCBV or rCBF alone. Consequently, neuronal regulation of brain circulation may be deduced from the valence of r-fcMRI connectivity.

Institute of University of I ' Business and California at I Economic Research Berkeley FISHER CENTER FOR REAL ESTATE AND URBAN ECONOMICS WORKING PAPER SERIES WORKING PAPER NO. 84-83 THE INTERJURISDICTIONAL EFFECTS OF GROWTH CONTROLS ON HOUSING PRICES L By These papers are preliminary in nature: their purpose is to - stimulate discussion and LAWRENCE KATZ comment. Therefore, they . KENNETH T_ ROSEN are not to be cited or quoted in any publication without the ex- press permission of the author. WALTER A. HAAS SCHOOL OF BUSINESS _

Introduction Adolescence is a period of remarkable development as children’s brains change to resemble adult brains. Resting state fMRI measures fluctuations in blood-oxygen signal from which we can infer functional connectivity (FC). Graph theory is a branch of mathematics that can quantify the complex patterns of connectivity and network architecture inherent in the functional connectome. An ideal graph theory analysis explores edges that are weighted, directional, and heterogenous (can be positive or negative). Recent developmental studies have applied graph theory to the functional connectome, yet due to the considerable complexity added by each facet, most ignore one or more aspects of an ideal graph theory analysis (directionality and heterogeneity). Methods The present cross-sectional study measured FC in typically developing children, adolescents, and young adults (age 6-24 years) using 150+ echo-planar volumes (3.6mm isotropic voxels, repetition/echo time=2000/30ms) acquired at rest. A standard pre-processing pipeline was used, and the functional connectome was quantified using a weighted, directed graph analysis, including both positive and negative connections. Five different graph theory metrics were utilized to quantify developmental trajectories: connection density, modularity, clustering coefficient, global efficiency, and betweenness centrality. Positive and negative connections were analyzed separately, and age and sex associations were explored. Results The total sample comprised 219 participants (mean age (SD) [range] = 14.1 (3.3) [6.5-24.0] years, 50% female). For positive connections, modularity and betweenness centrality increased with age (both p<0.001), while connection density, clustering coefficient, and global efficiency decreased with age (all p<0.001). By contrast, for negative connections, modularity and betweenness centrality decreased with age (p=0.002, p=0.003), while connection density, clustering coefficient , and global efficiency increased with age (p<0.001, p<0.001, p=0.003). Effects of sex, hemisphere, and their interaction were minimal, though global efficiency for negative connections was higher in the right hemisphere than the left (p<0.001). Conclusion Graph theory appears to be a useful tool for quantifying the complex development of the functional connectome. The developmental changes presented here may be driven by an intrinsic pressure to balance functionality with low metabolic cost to maintain the network. The positive connection network appears to shift towards a more efficient conformation resembling “small-world” architecture. In contrast, the negative connection network seems to shift away from such efficient architecture, possibly to prioritize improving functionality before later refinement.

Myelin is essential for efficient neural signaling and can be quantitatively evaluated using the T1-weighted/T2-weighted (T1w/T2w) ratio as a proxy for regional myelin content. Myelin covariance networks (MCNs) reflect correlated myelin patterns across brain regions, enabling the investigation of topological organization. However, a vertex-level map of myelin covariance gradients and their cognitive associations remains underexplored. The objective of this study was to construct and characterize vertex-level MCNs, identify their principal gradients, map their higher-order topological landscape, and determine their associations with cognitive functions and other multimodal cortical features. We conducted a cross-sectional, secondary analysis of publicly available data from the Human Connectome Project (HCP). The dataset included T1w/T2w MRI data from 1096 healthy adult participants (age 22–37). All original data collection and sharing procedures were approved by the Washington University institutional review board. Our procedures involved (1) constructing a vertex-wise MCN from T1w/T2w ratio data; (2) applying gradient analysis to identify principal organizational axes; (3) calculating network connectivity strength; (4) performing cognitive meta-analysis using Neurosynth; and (5) using graphlet analysis to assess higher-order topology. Our results show that the primary myelin gradient (Gradient 1) spans from sensory-motor to association cortices, strongly associates with connectivity strength (r = 0.66), and shows a functional dissociation between affective processing and sensorimotor domains. Furthermore, Gradient 2, as well as the positive and full connectivity strength, showed robust correlations with fractional anisotropy (FA), a DTI metric reflecting white matter microstructure. Our higher-order analysis also revealed that negative and positive myelin covariance connections exhibited distinct topologies. Negative connections were dominated by star-like graphlet structures, while positive connections were dominated by path-like and triangular structures. This systematic vertex-level investigation offers novel insights into the organizational principles of cortical myelin, linking gray matter myelin patterns to white matter integrity, and providing a valuable reference for neuropsychological research and the potential identification of biomarkers for neurological disorders.

ABSTRACTSelf-event connections in autobiographical narratives help integrate specific episodes from memory into the life story, which has implications for identity and well-being. Previous research has distinguished differential relations between positive and negative self-event connections to psychological well-being but less research has examined identity. In this study, examining self-event connections in emerging adults’ narratives, 225 participants narrated a traumatic and an intensely positive experience and completed questionnaires assessing identity development and well-being. Participants who described more negative connections to self overall had higher psychological distress and identity distress, compared to those who described fewer negative connections. Participants who described positive connections to the self in traumatic events were more likely to have lower psychological distress, higher post-traumatic growth, and higher identity commitment, whereas positive connections in positive events was related to higher identity exploration and marginally higher post-traumatic growth. These findings contribute to a growing body of literature that suggests linking autobiographical memories to self can have differential effects on identity and well-being depending on the valence of the event and the connections made.

Supply Elasticity of Housing

This article examines the impact of New York City's Ten‐Year Plan on the sale prices of homes in surrounding neighborhoods. Beginning in the mid‐1980s, New York City invested $5.1 billion in constructing or rehabilitating over 180,000 units of housing in many of the city's most distressed neighborhoods. One of the main purposes was to spur neighborhood revitalization. In this article, we describe the origins of the Ten‐Year Plan, as well as the various programs the city used to implement it, and estimate whether housing built or rehabilitated under the Ten‐Year Plan affected the prices of nearby homes. The prices of homes within 500 feet of Ten‐Year Plan units rose relative to those located beyond 500 feet, but still within the same census tract. These findings are consistent with the proposition that well‐planned project‐based housing programs can generate positive spillover effects and contribute to efforts to revitalize inner‐city neighborhoods.

The adoption of Public-Private Partnership (PPP) in housing provision in Nigeria is intended to increase urban housing stock and address housing affordability and accessibility challenges. However, to date, very little is known about how PPP housing schemes have addressed these challenges. This paper therefore explores the extent to which PPP in housing provision has so far contributed to solving the housing challenges in the Lagos Megacity Region of Nigeria. The paper presents the result of a cross-sectional survey of operators of PPP schemes and housing consumers in the study area. The results show that the PPP approach is basically a formal joint venture partnership involving government providing land at subsidised cost and the provision of serviced plots or construction of housing units by private sector partners. Although the approach has provided affordable serviced plots and housing units for a few high income elites, it has contributed very little to the volume of housing units available to low-income people in Lagos. The paper suggests the adoption of a uniform policy on PPP in housing provision and the establishment of a co-ordinating agency. In addition, government involvement in the provision of infrastructure in PPP housing schemes could increase the affordable housing stock accessible to low-income people in the city.

Supply side constraints in the Israeli housing market—The impact of state owned land

Differences in functional connectivity between alcohol dependence and internet gaming disorder

Hippocampal interactions with the motor system are often assumed to reflect the role of memory in motor learning. Here, we examine hippocampal connectivity with sensorimotor cortex during two tasks requiring paced movements, one with a mnemonic component (sequence learning) and one without (repetitive tapping). Functional magnetic resonance imaging activity was recorded from thirteen right-handed subjects; connectivity was identified from sensorimotor cortex correlations with psychophysiological interactions in hippocampal activity between motor and passive visual tasks. Finger movements in both motor tasks anticipated the timing of the metronome, reflecting cognitive control, yet evidence of motor learning was limited to the sequence learning task; nonetheless, hippocampal connectivity was observed during both tasks. Connectivity from corresponding regions in the left and right hippocampus overlapped extensively, with improved sensitivity resulting from their conjunctive (global) analysis. Positive and negative connectivity were both evident, with positive connectivity in sensorimotor cortex ipsilateral to the moving hand during unilateral movements, whereas negative connectivity was prominent in whichever hemisphere was most active during movements. Results implicate the hippocampus in volitional finger movements even in the absence of motor learning or recall.

Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study

The human health and environmental effects following a postulated accidental release of radioactive material to the environment have been a public and regulatory concern since the early development of nuclear technology. These postulated releases have been researched extensively to better understand the potential risks for accident mitigation and emergency planning purposes. The objective of this investigation is to provide an updated technical basis for contemporary building shielding factors for the US housing stock. Building shielding factors quantify the protection from ionising radiation provided by a certain building type. Much of the current data used to determine the quality of shielding around nuclear facilities and urban environments is based on simplistic point-kernel calculations for 1950s era suburbia and is no longer applicable to the densely populated urban environments realised today. To analyse a building’s radiation shielding properties, the ideal approach would be to subject a variety of building types to various radioactive sources and measure the radiation levels in and around the building. While this is not entirely practicable, this research analyses the shielding effectiveness of ten structurally significant US housing-stock models (walls and roofs) important for shielding against ionising radiation. The experimental data are used to benchmark computational models to calculate the shielding effectiveness of various building configurations under investigation from two types of realistic environmental source terms. Various combinations of these ten shielding models can be used to develop full-scale computational housing-unit models for building shielding factor calculations representing 69.6 million housing units (61.3%) in the United States. Results produced in this investigation provide a comparison between theory and experiment behind building shielding factor methodology.