Looking Inside The Black Box

Intensive family preservation services (IFPS), designed to stabilize at-risk families and avert out-of-home care, have been the focus of many randomized, experimental studies. The emphasis on "gold-standard" evaluation of IFPS has resulted in fewer "black box" studies that describe actual IFPS service patterns and the fidelity with which they adhere to IFPS program theory. Intervention research is important to the advancement of programs designed to protect the safety of children, improve family functioning, as well as prevent out-of-home placement. Employing a retrospective “clinical data-mining” (CDM) methodology, this exploratory study of Families First, an IFPS program, makes use of available information extracted from client records to describe interventions and service patterns provided over a two year period. This study uncovers actual IFPS service patterns, demonstrates IFPS program fidelity, as well as reveals the usefulness of CDM as a social work research methodology. These findings are particularly valuable for program planning and treatment, policy development and evidence-based practice research.

Let their voices be heard: Understanding the barriers to seeking early prenatal care for low-income non-Hispanic Black women

Background: Receipt of early prenatal care, care during the first three months of pregnancy, is the standard in the United States. Sixty percent of non-Hispanic Black women who had a live birth in the Sunnyside community of Houston did not obtain early prenatal care in 2009. ^ This study's aims were to: 1) Describe the barriers to obtaining early prenatal care in non-Hispanic Black women who live in the Sunnyside community of Houston; and, 2) Describe the actions that could encourage non-Hispanic Black women who live in the Sunnyside Community to obtain early prenatal care. The goal was to provide information to organizations that promote early prenatal care use in non-Hispanic Black women in Harris County that may aid in developing interventions. ^ Methods: The Participatory Learning for Action rapid assessment qualitative method was used in a group setting to answer the research questions on behalf of women in the community. Women who participated in the group sessions also participated in an in-depth interview. Key informants who work in the community with pregnant women, or promote the use of prenatal care services, were also interviewed. An inductive analysis of the data was conducted to identify common themes that address the study's aims. ^ Results: Aim 1: Group participants identified fear of the reaction from family and/or the baby's daddy and shame, not having insurance or money, and lack of knowledge of the pregnancy and resources as the top three barriers to early prenatal care for women in the community. Aim 2: Group participants stated that to help women to overcome these barriers, communication, awareness and support; help, resources and services; and information and early education are needed. Participant in-depth interviewees echoed the themes of fear of the reaction from family and/or the baby's daddy and not knowing of the pregnancy. Key informants mentioned these themes as well, though not at the same priority level. Participants and key informants also mentioned similar themes for helping women to overcome barriers to early prenatal care. ^ Conclusion: A comprehensive approach is needed to improve early prenatal care use in the Sunnyside community. Education efforts must include all members of the community, young and old, to promote support for pregnant women. Community members must be a part of the process for developing education campaigns. Engaging the community builds a relationship with organizations that serve the community, which may promote use of the organizations' services, and build trust with the community. All efforts must be ongoing so that women and men of all ages in the community understand the importance of prenatal care and support women obtaining care early in the pregnancy.^

Black Degradable Plastic Mulch Evaluation

Black polyethylene plastic mulch provides many benefits to fruit and vegetable producers. It increases earliness by increasing spring soil temperatures, conserves soil moisture, and reduces pesticide usage by decreasing weed and disease pressure. Furthermore, during seasons of high precipitation, it protects fertilizer from leaching below the root zone. Unfortunately, polyethylene mulches do not degrade and must be removed from the field and discarded each season. This is a labor-intensive process whether it is done mechanically or by hand. Several degradable plastic mulches have been developed that are designed to be incorporated into the soil profile, eliminating the need for removal, with no negative impact on soil quality or health. However, these degradable plastics often do not meet degradation expectations (either degrade too quickly or degrade incompletely and require manual removal). The objective of this project was to evaluate several degradable mulches for storage life, ease of use, and influence on tomato production.

Abundance and biomass of zooplankton from 1986-1994 collected in front of Constanta city, Black Sea

The Est Constanta 1986-1994 dataset contains zooplankton data collected allong a 5 station transect in front of the city Constanta (44°10'N, 28°41.5'E - EC1; 44°10'N, 28°47'E - EC2; 44°10'N, 28°54'E - EC3; 44°10'N, 29°08'E - EC4; 44°10'N, 29°22'E - EC5). Zooplankton sampling was undertaken at 5 stations where samples were collected using a Juday closing net in the 0-10, 10-25, 25-50m layer (depending also on the water masses). The dataset includes samples analysed for mesozooplankton species composition and abundance. Sampling volume was estimated by multiplying the mouth area with the wire length. Taxon-specific mesozooplankton abundance was count under microscope. Total abundance is the sum of the counted individuals. Total biomass Fodder, Rotifera , Ctenophora and Noctiluca was estimated using a tabel with wet weight for each species an stage.

Abundance of mesozooplankton in the western part of the Black Sea in summer 1998 during the National Monitoring Programme

The dataset is based on samples collected in the summer of 1998 in the Western Black Sea in front of Bulgaria coast. The whole dataset is composed of 69 samples (from 22 stations of National Monitoring Grid) with data of mesozooplankton species composition abundance and biomass. Samples were collected in discrete layers 0-10, 0-20, 0-50, 10-25, 25-50, 50-100 and from bottom up to the surface at depths depending on water column stratification and the thermocline depth. Zooplankton samples were collected with vertical closing Juday net,diameter - 36cm, mesh size 150 µm. Tows were performed from surface down to bottom meters depths in discrete layers. Samples were preserved by a 4% formaldehyde sea water buffered solution. Sampling volume was estimated by multiplying the mouth area with the wire length. Mesozooplankton abundance: The collected material was analysed using the method of Domov (1959). Samples were brought to volume of 25-30 ml depending upon zooplankton density and mixed intensively until all organisms were distributed randomly in the sample volume. After that 5 ml of sample was taken and poured in the counting chamber which is a rectangle form for taxomomic identification and count. Large (> 1 mm body length) and not abundant species were calculated in whole sample. Counting and measuring of organisms were made in the Dimov chamber under the stereomicroscope to the lowest taxon possible. Taxonomic identification was done at the Institute of Oceanology by Lyudmila Kamburska using the relevant taxonomic literature (Mordukhay-Boltovskoy, F.D. (Ed.). 1968, 1969,1972). Taxon-specific abundance: The collected material was analysed using the method of Domov (1959). Samples were brought to volume of 25-30 ml depending upon zooplankton density and mixed intensively until all organisms were distributed randomly in the sample volume. After that 5 ml of sample was taken and poured in the counting chamber which is a rectangle form for taxomomic identification and count. Copepods and Cladoceras were identified and enumerated; the other mesozooplankters were identified and enumerated at higher taxonomic level (commonly named as mesozooplankton groups). Large (> 1 mm body length) and not abundant species were calculated in whole sample. Counting and measuring of organisms were made in the Dimov chamber under the stereomicroscope to the lowest taxon possible. Taxonomic identification was done at the Institute of Oceanology by Lyudmila Kamburska using the relevant taxonomic literature (Mordukhay-Boltovskoy, F.D. (Ed.). 1968, 1969,1972).

Abundance of mesozooplankton in the western part of the Black Sea in summer 2001 during the National Monitoring Programme of the Bulgarian Institute of Oceanography

The dataset is based on samples collected in the summer of 2001 in the Western Black Sea in front of Bulgaria coast (transects at c. Kaliakra and c. Galata). The whole dataset is composed of 26 samples (from 10 stations of National Monitoring Grid) with data of mesozooplankton species composition abundance and biomass. Samples were collected in discrete layers 0-10, 10-20, 10-25, 25-50, 50-75, 75-90. Zooplankton samples were collected with vertical closing Juday net,diameter - 36cm, mesh size 150 µm. Tows were performed from surface down to bottom meters depths in discrete layers. Samples were preserved by a 4% formaldehyde sea water buffered solution. Sampling volume was estimated by multiplying the mouth area with the wire length. Mesozooplankton abundance: The collected material was analysed using the method of Domov (1959). Samples were brought to volume of 25-30 ml depending upon zooplankton density and mixed intensively until all organisms were distributed randomly in the sample volume. After that 5 ml of sample was taken and poured in the counting chamber which is a rectangle form for taxomomic identification and count. Large (> 1 mm body length) and not abundant species were calculated in whole sample. Counting and measuring of organisms were made in the Dimov chamber under the stereomicroscope to the lowest taxon possible. Taxonomic identification was done at the Institute of Oceanology by Lyudmila Kamburska and Kremena Stefanova using the relevant taxonomic literature (Mordukhay-Boltovskoy, F.D. (Ed.). 1968, 1969,1972). Taxon-specific abundance: The collected material was analysed using the method of Domov (1959). Samples were brought to volume of 25-30 ml depending upon zooplankton density and mixed intensively until all organisms were distributed randomly in the sample volume. After that 5 ml of sample was taken and poured in the counting chamber which is a rectangle form for taxomomic identification and count. Copepods and Cladoceras were identified and enumerated; the other mesozooplankters were identified and enumerated at higher taxonomic level (commonly named as mesozooplankton groups). Large (> 1 mm body length) and not abundant species were calculated in whole sample. Counting and measuring of organisms were made in the Dimov chamber under the stereomicroscope to the lowest taxon possible. Taxonomic identification was done at the Institute of Oceanology by Lyudmila Kamburska and Kremena Stefanova using the relevant taxonomic literature (Mordukhay-Boltovskoy, F.D. (Ed.). 1968, 1969,1972).

(Table 1) Insoluble aerosol concentrations and vertical fluxes at the eastern shelf of the Black Sea during breeze circulation in October 1987

Amounts of aerosols transported to the shelf surface were calculated on the basis of in situ measurements of concentrations of eolian matter (insoluble aerosol fraction) and vertical fluxes of settling dust in five areas of the Black Sea shelf from the Danube delta to the Inguri River mouth. More than 8.3 mln t of eolian matter are annually transported from the land over the shelf of the former USSR. At the same time more than 5.4 mln t are supplied to the northwestern shelf area, 1.7 mln t are supplied to the Crimean area, about 0.8 mln t are supplied to the Kerch-Taman' area, and about 0.45 mln t are supplied to the Caucasian area.