F-1 Food Assistance Program State Summary, August 2008

The Food Assistance Monthly Participation Report is a monthly summary of Food Assistance program participation, Statewide and for each Iowa county. Breakouts are reported for participants also in the FIP program, those only receiving Food Assistance, and those that are receiving economic assistance under other programs (primarily Medicaid). This report may also be known as the F-1 Report.

A-1A Supplemental Security Income Program, August 2008

A-1A - Supplemental Security Income Program, August 2008

A-1 Monthly Public Assistance Statistical Report Family Investment Program, August 2008

A-1 - Monthly Public Assistance Statistical Report Family Investment Program

F-1 Food Assistance Program State Summary, September 2008

The Food Assistance Monthly Participation Report is a monthly summary of Food Assistance program participation, Statewide and for each Iowa county. Breakouts are reported for participants also in the FIP program, those only receiving Food Assistance, and those that are receiving economic assistance under other programs (primarily Medicaid). This report may also be known as the F-1 Report.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, September 2008

A-1 - Monthly Public Assistance Statistical Report Family Investment Program

A-1A Supplemental Security Income Program, September 2008

A-1A - Supplemental Security Income Program

Is the observed persistence spurious? A test for fractional integration versus short memory and structural breaks

Although it is commonly accepted that most macroeconomic variables are nonstationary, it is often difficult to identify the source of the non-stationarity. In particular, it is well-known that integrated and short memory models containing trending components that may display sudden changes in their parameters share some statistical properties that make their identification a hard task. The goal of this paper is to extend the classical testing framework for I(1) versus I(0)+ breaks by considering a a more general class of models under the null hypothesis: non-stationary fractionally integrated (FI) processes. A similar identification problem holds in this broader setting which is shown to be a relevant issue from both a statistical and an economic perspective. The proposed test is developed in the time domain and is very simple to compute. The asymptotic properties of the new technique are derived and it is shown by simulation that it is very well-behaved in finite samples. To illustrate the usefulness of the proposed technique, an application using inflation data is also provided.

Cape Verde - Diagnostic Trade Inttegration study Update - 2013

This Report is an update of the Cape Verde Diagnostic Trade Integration Study, titled Cape Verde’s Insertion into the Global Economy, produced and validated by the Government of Cape Verde in December 2008. Like the previous 2008 study, this Cape Verde Diagnostic Trade Integration Study Update provides a critical examination of the major institutional and production constraints that hinder Cape Verde’s ability to capitalize fully on the growth and welfare gains from its integration into the world economy. As a policy report, this study offers a set of priority policies and measures that can be implemented by both the public and private sectors to mitigate and surmount these supply side and institutional constraints. These recommendations are summarized in an Action Matrix. The Report is fruit of the generous support of the multi-donor program the Enhanced Integrated Framework (EIF). In every crisis there is an opportunity. Four years after the validation of the country’s first Diagnostic Trade Integration Study in 2008, Cape Verde finds itself in a drastically altered external environment. Cape Verde faces a worsened external environment than four years ago, when it was also traversing years of crisis as global food and energy prices escalated. Just as the country was validating its first trade study in late 2008, and celebrating its graduation from the list of Least Developed Countries, the onset of the deepest global recession in recent memory triggered an even worse external situation as the country’s principal source of markets, investments, remittances and aid, the Eurozone, unraveled economically and politically. As the Eurozone crisis spread, it was Cape Verde’s misfortune that the crisis contaminated precisely its biggest Eurozone partners and donors, such as Portugal, Spain and Italy. For such a highly dependent and exposed economy like that of Cape Verde, the deteriorating external sector has had a substantial negative impact on its macroeconomic performance. At the time of the validation workshop and graduation in 2008, no one could have foreseen or predicted the severity of the global crisis that followed. Despite traversing these years of adversity and external shocks, and suffering palpable setbacks, Cape Verde’s economy had proven surprisingly resilient, especially its principal sector, tourism. To its great credit, the country’s economic fundamentals are solid, and have been carefully and prudently managed over the years. For this reason alone, the country has thus far weathered the global and Eurozone crisis. Yet the near and medium term future remains uncertain. The country’s margin for maneuver has narrowed, its options far more limited, and hard choices lie ahead. Thus, there is no better time than now to analyze Cape Verde’s position in the global economy, and to examine the many challenges and opportunities it faces. The first diagnostic trade study outlined an ambitious agenda and set of policy strategies to enhance Cape Verde’s participation in the global economy. Written prior to the global crisis, the study did not, and could not, anticipate the scope and depth of the subsequent global and Eurozone crises. A few short months before the validation of the first DTIS Cape Verde joined the World Trade Organization (WTO). It has spent these four years adjusting to this status and implementing its commitments. At the same time, the country seeks greater economic integration with the European Union. Since 2008 the government has been investing heavily in the country’s economic infrastructure, focusing especially on fostering transformation in key sectors like agriculture, fisheries, tourism and creative industries. For these and many other reasons, it is both timely and urgent to review the road traveled since 2008. It is an opportune moment to reassess the country’s options, to rethink strategies, and to chart a new way forward that it is practical, implementable, and that builds on the country’s competitive advantages and current successes.

Expression of apoptosis and survival genes in human memory T cell populations

RESUME Introduction: Les cellules T mémoires humaines sont classées en trois sous-populations sur la base de l'expression d'un marqueur de surface cellulaire, CD45RA, et du récepteur aux chimiokines, CCR7. Ces sous-populations, nommées cellules mémoires centrales (TcM), mémoires effectrices (TEM) et mémoires effectrices terminales (ITEM), ont des rôles fonctionnels distincts, ainsi que des capacités de prolifération et de régénération différentes. Cependant, la génération de ces différences reste encore mal comprise et on ignore les mécanismes moléculaires impliqués. Matériaux et Méthodes: Des cellules mononucléaires humaines du sang périphérique ont été séparées par cytométrie de flux selon leur expression de CD4, CD8, CD45RA et CCR7 en sous-populations de cellules CD4+ ou CD8+ naïves, TcM, TEM ou ITEM. Dans chacune de ces sous-populations, 14 gènes impliqués dans l'apoptose, la survie ou la capacité proliférative des cellules T ont été quantifiés par RT-PCR en temps réel, relativement à l'expression d'un gène de référence endogène. L'ARN provenant de 450 cellules T a été utilisé par gène et par sous-population. Les gènes analysés (cibles) comprenaient des gènes de survie (BAFF, APRIL, BAFF-R, BCMA, TACI, IL-15Rα, IL-7Rα), des gènes anti-apoptotiques (Bcl-2, BclxL, FLIP), des gènes pro-apoptotiques (Bad, Bax, Fast) et le gène anti-prolifératif, Tob. A l'aide de la méthode comparative delta-delta-CT, le taux d'expression des gènes cibles de chaque sous-population des cellules T mémoires CD4+ et CD8+, à été comparée à leur taux d'expression dans les cellules T naïves CD4+ et CD8+. Résultats: Dans les cellules CD8+, les gènes pro-apoptotiques Bax et Fast étaient surexprimés dans toutes les sous-populations mémoires, tandis que l'expression des facteurs anti-apoptotiques et de survie comme Bcl-2, APRIL et BAFF-R, étaient diminués. Ces deux tendances étaient particulièrement accentuées dans les sous-groupes des cellules mémoires TEM et TTEM. A noter que malgré le fait que leur expression était également diminuée dans les autres cellules mémoires, le facteur de survie IL-7Ra, était sélectivement surexprimé dans la sous-population de cellules TcM et l'expression d'IL-15Ra était sélectivement augmentée dans les TEM. Dans les cellules CD4+, le taux d'expression des gènes analysés était plus variable entre les sujets étudiés que dans les cellules CD8+, ne permettant pas de définir un profil d'expression spécifique. L'expression du gène de survie BAFF par contre, a été significativement augmentée dans toutes les sous-populations mémoire CD4+. Il en va de même pour l'expression d' APRIL et de BAFF-R, bien que dans moindre degré. A remarquer que l'expression du facteur anti-apoptotique Fast a été observée uniquement dans la souspopulation des TTEM. Discussion et Conclusions: Cette étude montre une nette différence entre les cellules CD8+ et CD4+, en ce qui concerne les profils d'expression des gènes impliqués dans la survie et l'apoptose des cellules T mémoires. Ceci pourrait impliquer une régulation cellulaire homéostatique distincte dans ces deux compartiments de cellules T mémoires. Dans les cellules CD8+ l'expression d'un nombre de gènes impliqués dans la survie et la protection de l'apoptose semblerait être diminuée dans les populations TEM et TTEM en comparaison à celle des sous-populations naïves et TEM, tandis que l'expression des gènes pro-apoptotiques semblerait être augmentée. Comme ceci paraît être plus accentué dans les TTEM, cela pourrait indiquer une plus grande disposition à l'apopotose dans les populations CCR7- (effectrices) et une perte de survie parallèlement à l'acquisition de capacités effectrices. Ceci parlerait en faveur d'un modèle de différentiation linéaire dans les cellules CD8+. De plus, l'augmentation sélective de l'expression d'IL-7Ra observée dans le sous-groupe de cellules mémoires TEM, et d'IL-15Ra dans celui des TEM, pourrait indiquer un moyen de sélection pour des réponses immunitaires mémoires à long terme par une réponse distincte à ces cytokines. Dans les cellules CD4+ par contre, aucun profil d'expression n'a pu être déterminé; les résultats suggèrent même une résistance relative à l'apoptose de la part des cellules mémoires. Ceci pourrait favoriser l'existence d'un modèle de différentiation plus flexible avec des possibilités d'interaction multiples. Ainsi, la surexpression sélective de BAFF, APRIL et BAFF-R dans les sous-populations individuelles des cellules mémoires pourrait être un indice de l'interaction de ces sous-groupes avec des cellules B. ABSTRACT Introduction: Based on their surface expression of the CD45 isoform and of the CCR7 chemokine receptor, memory T cells have been divided into the following three subsets: central memory (TAM), effector memory (TEM) and terminal effector memory (ITEM). Distinct functional roles and different proliferative and regenerative capacities have been attributed to each one of these subpopulations. The molecular mechanisms underlying these differences; however, remain poorly understood. Materials and Methods: According to their expression of CD4, CD8, CD45RA and CCR7, human peripheral blood mononuclear cells were sorted by flow-cytometry into CD4+ or CD8+ naïve, TAM, TEM and ITEM subsets. Using real-time PCR, the expression of 14 genes known to be involved in apoptotis, survival or proliferation of T cells was quantified separately in each individual subset, relative to an endogenous reference gene. The RNA equivalent of 450 T cells was used for each gene and subset. The target gene panel included the survival genes BAFF, APRIL, BAFF-R, BCMA, TACI, IL-15Rα and IL-7Rα, the anti-apoptotic genes Bcl2, Bcl-xL and FLIP, the pro-apoptotic genes Bad, Bax and Fast, as well as the antiproliferative gene Tob. Using the comparative CT-method, the expression of the target genes in the three memory T cell subsets of both CD4+ and CD8+ T cell populations was compared to their expression in the naïve T cells. Results: In CD8+ cells, the pro-apoptotic factors Bax and Fast were found to be upregulated in all memory T cell subsets, whereas the survival and anti-apoptotic factors Bcl-2, APRIL and BAFF-R were downregulated. These tendencies were most accentuated in TEM and TTEM subsets. Even though the survival factor IL-7Rα was also downregulated in these subsets, interestingly, it was selectively upregulated in the CD8+ TAM subset. Similarly, IL-15Rαexpression was shown to be selectively upregulated in the CD8+ TEM subset. In CD4+ cells, the expression levels of the analyzed genes showed a greater inter-individual variability than in CD8+ cells, thus suggesting the absence of any particular expression pattern for CD4+ memory T cells. However, the survival factor BAFF was found to be significantly upregulated in all CD4+ memory T cell subsets, as was also the expression of APRIL and BAFF-R, although to a lesser extent. Furthermore, it was noted that the pro-apoptotic gene Fast was only expressed in the TTEM CD4+ subset. Discussion and Conclusions: Genes involved in apoptosis and survival in human memory T cells have been shown to be expressed differently in CD8+ cells as compared to CD4+ cells, suggesting a distinct regulation of cell homeostasis in these two memory T cell compartments. The present study suggests that, in CD8+ T cells, the expression of various survival and antiapoptotic genes is downregulated in TEM and TTEM subsets, while the expression of proapoptotic genes is upregulated in comparison to the naïve and the TAM populations. These characteristics, potentially translating to a greater susceptibility to apoptosis in the CCR7- (effector) memory populations, are accentuated in the TTEM population, suggesting a loss of survival in parallel to the acquisition of effector capacities. This speaks in favour of a linear differentiation model in CD8+ T memory cells. Moreover, the observed selectively increased expression of IL-7Rα in CD8+ TAM cells - as that of IL-15Rα in CD8+ TEM cells -suggest that differential responsiveness to cytokines could confer a selection bias for distinct long-term memory cell responses. Relative to the results for CD8+ T cells, those for CD4+ T cells seem to indicate a certain resistance of the memory subsets to apoptosis, suggesting the possibility of a more flexible differentiation model with multiple checkpoints and potential interaction of CD4+ memory cells with other cells. Thus, the selective upregulation of BAFF, APRIL and BAFF-R in individual memory subsets could imply an interaction of these subsets with B cells.

F-1 Food Assistance Program State Summary, October 2008

The Food Assistance Monthly Participation Report is a monthly summary of Food Assistance program participation, Statewide and for each Iowa county. Breakouts are reported for participants also in the FIP program, those only receiving Food Assistance, and those that are receiving economic assistance under other programs (primarily Medicaid). This report may also be known as the F-1 Report.

A-1A Supplemental Security Income Program, October 2008

A-1A - Supplemental Security Income Program

An enhanced concave program relaxation for choice network revenue management

The network choice revenue management problem models customers as choosing from an offer-set, andthe firm decides the best subset to offer at any given moment to maximize expected revenue. The resultingdynamic program for the firm is intractable and approximated by a deterministic linear programcalled the CDLP which has an exponential number of columns. However, under the choice-set paradigmwhen the segment consideration sets overlap, the CDLP is difficult to solve. Column generation has beenproposed but finding an entering column has been shown to be NP-hard. In this paper, starting with aconcave program formulation based on segment-level consideration sets called SDCP, we add a class ofconstraints called product constraints, that project onto subsets of intersections. In addition we proposea natural direct tightening of the SDCP called ?SDCP, and compare the performance of both methodson the benchmark data sets in the literature. Both the product constraints and the ?SDCP method arevery simple and easy to implement and are applicable to the case of overlapping segment considerationsets. In our computational testing on the benchmark data sets in the literature, SDCP with productconstraints achieves the CDLP value at a fraction of the CPU time taken by column generation and webelieve is a very promising approach for quickly approximating CDLP when segment consideration setsoverlap and the consideration sets themselves are relatively small.

A-1 Monthly Public Assistance Statistical Report Family Investment Program, October 2008

A-1 - Monthly Public Assistance Statistical Report Family Investment Program

F-1 Food Assistance Program State Summary, November 2008

The Food Assistance Monthly Participation Report is a monthly summary of Food Assistance program participation, Statewide and for each Iowa county. Breakouts are reported for participants also in the FIP program, those only receiving Food Assistance, and those that are receiving economic assistance under other programs (primarily Medicaid). This report may also be known as the F-1 Report.