Spatial and Regional Dimensions of Food Security in Zambia

Zambia’s population clusters tightly in cities along the north-south line of rail and in the primarily rural areas of Eastern Province (Figure 1). Staple food consumption and purchases are similarly concentrated in these heavily populated clusters (Figures 4 and 5). Across the border, several high-density population centers lie close to the Zambian border — in the copperbelt cities of southern DRC, in the highlands of southern Tanzania, in Malawi and in Zimbabwe (Figure 2). This results in sizeable potential food markets for Zambian farmers across the border in southern DRC and, intermittently, in Zimbabwe and Malawi. Zambia’s staple food production and sales likewise cluster spatially in three main areas: along the line of rail, in the large commercial farming blocks of north-central Zambia, and to a lesser extent in Eastern Province (Figure 6). This spatial clustering offers opportunities for Zambia to benefit from regional trade in food staples. In normal and good harvest years, significant export potential exists in matching the large cereal-producing blocks in north-central Zambia with the nearby copperbelt cities of both Zambia and DRC. Conversely, in years of domestic shortfall, significant import supplies may be available from cross-border farmers and traders in southern Tanzania, northern Mozambique and, in time, Zimbabwe. If Zambian farmers are to invest in the productive capacity necessary to serve these external markets, they will require consistent and predictable trade policies. Figure 1.Zambia, food security, Africa, staple food production, Agricultural and Food Policy, Community/Rural/Urban Development, Food Security and Poverty, International Relations/Trade, q18, q13, q17,

Applying Tort Theory To Information Technology

In this article, I discuss the issue of whether torts attributable to Information Systems products, both hardware and software, should be subject to litigation as a contract action, a tort action, or both. I further suggest a protocol for attorneys and courts to consider when attempting to discern whether a particular cause of action is appropriate. Last, I briefly discuss whether the advent of certification programs for computer professionals should result in the courts reconsideration of the concept of computer malpractice

“Hail to the Potomac Drainage Basin Indigeneous Persons” Just Doesn’t Have the Same Ring: Is the Name “Redskins” Offensive Enough to Outweigh Tradition?

In this article, I discuss whether the federal government has an obligation to act to restrict the NFL’s Washington franchise’s use of the term “Redskins”. The article discusses the unique obligation that the courts have placed on the federal government with respect to Native Americans. It articulates two approaches that have been employed with varying degrees of success in abolishing the nickname. Free speech concerns are explored with respect to this issue. Finally, the article briefly discusses some proposed methods that the government could employ to “encourage” the Redskins and the NFL to change the nickname

The Z-Test for Percentages: A Statistical Tool to Detect Pretextually Neutral Juror Challenges

In the article, I discuss the potential use of public opinion polls to measure the discriminatory effect of certain questions in jury selection. While the laws surrounding race and gender based jury selection are known to most lawyers, there has been little scrutiny on questions that might be posed to potential jurors that are facially neutral, yet have a discriminatory impact. This article examines a number of such questions and offers a statistical test to determine whether a proposed question has, in fact, a 98% certainty of having a discriminatory effect if relied upon in jury selection

Genomic characterization of Gli-activator targets in sonic hedgehog-mediated neural patterning

Sonic hedgehog (Shh) acts as a morphogen to mediate the specification of distinct cell identities in the ventral neural tube through a Gli-mediated (Gli1-3) transcriptional network. Identifying Gli targets in a systematic fashion is central to the understanding of the action of Shh. We examined this issue in differentiating neural progenitors in mouse. An epitope-tagged Gli-activator protein was used to directly isolate cis-regulatory sequences by chromatin immunoprecipitation (ChIP). ChIP products were then used to screen custom genomic tiling arrays of putative Hedgehog (Hh) targets predicted from transcriptional profiling studies, surveying 50-150 kb of non-transcribed sequence for each candidate. In addition to identifying expected Gli-target sites, the data predicted a number of unreported direct targets of Shh action. Transgenic analysis of binding regions in Nkx2.2, Nkx2.1 (Titf1) and Rab34 established these as direct Hh targets. These data also facilitated the generation of an algorithm that improved in silico predictions of Hh target genes. Together, these approaches provide significant new insights into both tissue-specific and general transcriptional targets in a crucial Shh-mediated patterning process

A gene regulatory network armature for T lymphocyte specification

Choice of a T lymphoid fate by hematopoietic progenitor cells depends on sustained Notch–Delta signaling combined with tightly regulated activities of multiple transcription factors. To dissect the regulatory network connections that mediate this process, we have used high-resolution analysis of regulatory gene expression trajectories from the beginning to the end of specification, tests of the short-term Notch dependence of these gene expression changes, and analyses of the effects of overexpression of two essential transcription factors, namely PU.1 and GATA-3. Quantitative expression measurements of >50 transcription factor and marker genes have been used to derive the principal components of regulatory change through which T cell precursors progress from primitive multipotency to T lineage commitment. Our analyses reveal separate contributions of Notch signaling, GATA-3 activity, and down-regulation of PU.1. Using BioTapestry (www.BioTapestry.org), the results have been assembled into a draft gene regulatory network for the specification of T cell precursors and the choice of T as opposed to myeloid/dendritic or mast-cell fates. This network also accommodates effects of E proteins and mutual repression circuits of Gfi1 against Egr-2 and of TCF-1 against PU.1 as proposed elsewhere, but requires additional functions that remain unidentified. Distinctive features of this network structure include the intense dose dependence of GATA-3 effects, the gene-specific modulation of PU.1 activity based on Notch activity, the lack of direct opposition between PU.1 and GATA-3, and the need for a distinct, late-acting repressive function or functions to extinguish stem and progenitor-derived regulatory gene expression

Change Talk During Brief Motivational Intervention With Young Adult Males: Strength Matters.

Client change talk (CT) during motivational interviewing (MI) has been described as a predictor of change in alcohol use. We examined the predictive validity of different strength levels of CT within a brief MI session for 174 young men from the general population screened as hazardous drinkers. CT was measured using the MI Skill Code (MISC 2.1) and categorized with positive (toward change) and negative (against change) valence and 3 strength levels (1=low, 2=medium, 3=high). Analyses included linear regression models predicting drinking at 3-month follow-up, while controlling for baseline drinking. Frequency of overall negative CT (i.e., sum of -1, -2, -3) significantly predicted poorer drinking outcomes. In a multivariate model entering frequency of CT utterances at each level of strength (i.e. +1, +2, +3, -1, -2, -3), the directionality of negative strength ratings was consistently in the expected direction, but only CT-2 was statistically significant. In contrast, overall CT positive (i.e., sum of +1, +2, +3) was not a significant predictor of less alcohol use, but the multivariate model showed that the presence of CT+3 significantly predicted less drinking at 3-month follow-up. Averaged strength summary score (i.e. on the scale from -3 to +3) was a significant predictor of better outcome, while percent positive CT was not. Moderation analyses showed that young men with lower baseline readiness to change or lower alcohol problem severity had higher follow-up drinking when they expressed more CT+1 or CT+2, while the opposite pattern was observed with those reporting higher baseline readiness to change or higher alcohol problem severity. Mixed findings for varying levels of positive CT strength might explain previous studies showing poor predictive validity of positive client language in MI. Together with other studies in similar settings, these findings suggest the importance of advanced MI techniques to shape client language to soften negative change talk (also known as sustain talk) and elicit positive CT verbalized with high intensity

Therapist and client discussions of drinking and coping: a sequential analysis of therapy dialogues in three evidence-based alcohol use disorder treatments.

Research into the active ingredients of behavioral interventions for alcohol use disorders (AUD) has focused upon treatment-specific factors, often yielding disappointing results. The present study examines common factors of change in motivational enhancement therapy, cognitive-behavioral therapy and 12-Step facilitation therapy by (1) estimating transitional probabilities between therapist behaviors and subsequent client Change (CT) and Sustain (ST) Talk and (2) examining therapist skillfulness as a potential predictor of transition probability magnitude. Secondary data analysis examined temporal associations in therapy dialogues. United States: data were from Project MATCH (Matching Alcoholism Treatments to Client Homogeneity) (1997). One hundred and twenty-six participants who received motivational enhancement therapy, cognitive-behavioral therapy or 12-Step facilitation therapy. Therapist behaviors were measured in three categories (exploring, teaching, connecting) and client statements included five categories (CT-distal, ST-distal, CT-proximal, ST-proximal, neutral). Therapist skillfulness was measured using a five-point ordinal scale. Relative to chance, therapist exploratory behaviors predicted subsequent client discussion of distal, drinking behavior [odds ratio (OR) = 1.37-1.78, P < 0.001] while suppressing discussion of proximal coping and neutral content (OR = 0.83-0.90, P < 0.01). Unexpectedly, therapist teaching suppressed distal drinking language (OR = 0.48-0.53, P < 0.001) and predicted neutral content (OR = 1.45, P < 0.001). Connecting behaviors increased both drinking and coping language, particularly language in favor of change (CT OR = 1.15-1.84, P < 0.001). Analyses of exploring and connecting skillfulness revealed that high skillfulness maximized these behaviors effect on client responses, but not teaching skillfulness. In motivational enhancement therapy, cognitive-behavioral therapy, and 12-Step facilitation therapy for alcohol use disorders, the therapists who explore and connect with clients appear to be more successful at eliciting discussion about change than therapists who engage in teaching behavior. Therapists who are more skilled achieve better results than those who are less skilled

Towards effective visual analytics on multiplex and multilayer networks

In this article we discuss visualisation strategies for multiplex networks. Since Moreno's early works on network analysis, visualisation has been one of the main ways to understand networks thanks to its ability to summarise a complex structure into a single representation highlighting multiple properties of the data. However, despite the large renewed interest in the analysis of multiplex networks, no study has proposed specialised visualisation approaches for this context and traditional methods are typically applied instead. In this paper we initiate a critical and structured discussion of this topic, and claim that the development of specific visualisation methods for multiplex networks will be one of the main drivers pushing current research results into daily practice

The Psychometric Evaluation of a Personality Selection Tool

Personality is one of the primary ways that people are distinguished from one another on the basis of their unique tendencies and behavioral patterns. Decades of empirical research have yielded five primary personality traits which have consistently emerged, becoming known as the Five Factor Model (FFM). In particular, the FFM has been widely used in the employee selection realm. However, there have been mixed reviews as to how well the FFM of personality accomplishes that objective, with some research drawing into question the strength of the relationship between personality and job performance. The purpose of the current investigation is to address these gaps by exploring how a unique personality instrument, developed for commercial applications, may add value for predicting job performance. Archival and anonymous data was collected from the Company for the purpose of investigating the psychometric properties of the proprietary personality selection instrument. The study employed two sets of data, one was a random sample of 10,000 cases for conducting factor analytics and the other was a data set of 1,986 matched cases for investigating reliability. Hypotheses were tested using multiple statistical techniques, such as confirmatory factor analysis (CFA), exploratory factor analysis (EFA), test-retest reliability, Cronbach’s alpha, and Pearson correlations. Results indicated that the proposed factor structure of the Personality Instrument in which the 15 narrow facets are represented by three broad factors could not be supported (χ2 [3897] = 94548.14, p \u3c .001; GFI = .704; CFI = .433; RMSEA = .048) through CFA. Multiple alternative models were also tested, such as a single-factor model of personality (χ2 [3900] = 96837.26, p \u3c .001; GFI = .694; CFI = .418; RMSEA = .049), the theoretical model poor (χ2 [3910] = 102,525.28, p \u3c .001; GFI = .692; CFI = .383; RMSEA = .050), and also a multitrait multimethod approach (χ2 [3710] = 56336.08, p \u3c .001; GFI = .863; CFI = .671; RMSEA = .038), each of which fell short of showing even moderate model fit to the data. The results of the test-retest reliability analyses showed statistically significant positive relationships between Time 1 and Time 2 Personality Instrument scores (r (905) = .79, p \u3c .01), when administered between 0 and 12 weeks apart, and thus supporting the stability of the Personality Instrument. Compared to test- retest reliability coefficients when taken between 0 and 12 weeks, the test-retest reliability for cases in which the Personality Instrument was taken between 13 weeks and 52 weeks was still statistically significant and positive (r (480) = .67, p \u3c .01), yet a smaller positive relationship as presumed. Test-retest reliability proved to be a better estimate of stability compared to Cronbach’s alpha, which ranged from as low as .05 for Tolerance for Ambiguity to as high as .58 for Affiliative. Lastly, the results investigating as to whether contextualized items within the same substantive facet correlate more so with each other than do generically-worded items