Do Released Prisoners’ Perceptions of Neighborhood Condition Affect Reentry Outcomes?

As the United States enters a decarceration era, the factors predicting reentry success have received a rapidly growing body of research attention. Numerous studies expand beyond individual-level attributes to assess the contextual effect of neighborhoods to which released prisoners return. However, past studies predominantly used neighborhood structural/economic characteristics as the proxies of neighborhood context, leaving the roles of community cohesion and disorder understudied in the context of reentry. Using longitudinal data, this study examines the influence of neighborhood cohesion and disorder on reentry outcomes, represented by released prisoners’ determination to desist and social isolation. The results of linear regression analyses show that net of the effects of individual-level risk factors, released prisoners’ perception of neighborhood disorder exhibit profound influence on reentry outcomes. Implications for reentry programming and interventions are presented.

Residents' Assessment in Kaligawe Slum Area, Semarang

To reduce slum areas, the government of Semarang City has issued a decree of determination of slum areas in 2014 and initiated some slum upgrading activities from the central and local government. Kaligawe, as one of the areas close to the industrial estate and has many residents, is included in a slum area that must be handled. The slum area in Kaligawe consists of 7.35 hectares from RW 1 – RW 4. In addition to the description of the slum characteristics, residents' assessment is also needed regarding the neighborhood condition. This study aims to analyze residents’ assessment in Kaligawe as one of the slum areas in Semarang. This study applied a questionnaire survey that was distributed to 90 residents of Kelurahan Kaligawe slum area randomly from RW 1 – RW 4 and NUAP Kaligawe 2017 document review as the data collection source. The findings indicated that although Kaligawe has a low socioeconomic level, the residents’ assessment of Kaligawe’s neighborhood is overall good. It is because they are already used to live with recent neighborhood conditions, and also significant improvement resulted due to slum upgrading program in Kaligawe area.

p-Topologicalness—A Relative Topologicalness in ⊤-Convergence Spaces

In this paper, p-topologicalness (a relative topologicalness) in ⊤-convergence spaces are studied through two equivalent approaches. One approach generalizes the Fischer’s diagonal condition, the other approach extends the Gähler’s neighborhood condition. Then the relationships between p-topologicalness in ⊤-convergence spaces and p-topologicalness in stratified L-generalized convergence spaces are established. Furthermore, the lower and upper p-topological modifications in ⊤-convergence spaces are also defined and discussed. In particular, it is proved that the lower (resp., upper) p-topological modification behaves reasonably well relative to final (resp., initial) structures.

Neighborhood condition for all fractional (g, f, n′, m)-critical deleted graphs

In data transmission networks, the availability of data transmission is equivalent to the existence of the fractional factor of the corresponding graph which is generated by the network. Research on the existence of fractional factors under specific network structures can help scientists design and construct networks with high data transmission rates. A graph G is named as an all fractional (g, f, n′, m)-critical deleted graph if the remaining subgraph keeps being an all fractional (g, f, m)-critical graph, despite experiencing the removal of arbitrary n′ vertices of G. In this paper, we study the relationship between neighborhood conditions and a graph to be all fractional (g, f, n′, m)-critical deleted. Two sufficient neighborhood conditions are determined, and furthermore we show that the conditions stated in the main results are sharp.

A sufficient condition for the existence of a k-factor excluding a given r-factor

Let G be a graph, and let k, r be nonnegative integers with k ≥ 2. A k-factor of G is a spanning subgraph F of G such that dF(x) = k for each x ∈ V (G), where dF(x) denotes the degree of x in F. For S ⊆ V (G), NG(S) = ∪x∊SNG(x). The binding number of G is defined by bind$\begin{array}{} (G) = {\rm{min }}\{ \frac{{|{N_G}(S)|}}{{|S|}}:\emptyset \ne S \subset V(G),{N_G}(S) \ne V(G)\} \end{array}$. In this paper, we obtain a binding number and neighborhood condition for a graph to have a k-factor excluding a given r-factor. This result is an extension of the previous results.

The Promises and Pitfalls of 311 Data

Local governments operate 311 service request lines across the United States, and the publicly available data from these lines provide a continuously measured, geographically fine-grained, and non-self-reported measure of citizens’ interactions with government. It seems a promising measure of neighborhood political participation. However, these data are empirically and theoretically different from many common citizen-level participation measures. We compare geographically aggregated 311 call data with three other measures of political and civic participation: voter turnout, political donations, and census return rates. We show that rates of 311 calls are negatively related to lower cost activities (voter turnout and census return rates), but positively related to the high-cost activity of campaign donation. We caution against interpreting 311 data as a generic measure of political engagement or participation, at least in the absence of high-quality controls for neighborhood condition. However, we argue that these data are still potentially useful for researchers, because they are by definition a measure of the service demands that neighborhoods place on city governments.