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Статті в журналах з теми "Residential"

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Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 30 липня 2024

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1

Liu, Angela. "Residential Utility Management." Journal of Clean Energy Technologies 3, no. 1 (2015): 78–82. http://dx.doi.org/10.7763/jocet.2015.v3.173.

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2

Abdul Fattah, Hamizah, and Nurwati Badarulzaman. "RESIDENTIAL PREFERENCES IN RESIDENTIAL LOCATION CHOICE." Malaysian Journal of Sustainable Environment 5, no. 2 (December 31, 2018): 41. http://dx.doi.org/10.24191/myse.v5i2.5616.

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Residential mobility attempts to address problems on households' life adjustments or the mismatch between residents' present needs and housing consumption. The desired preferences of each household may be complex to determine, but the trends or preferences in a residential area can be captured. Residential location choice stimulates residential mobility decision on the selection of a particular area. This study aims to identify residential preferences on relocation using a selected sample of 323 households in Penang who intend to move in the near future. Results show that residents prefer to move to other states than Penang. Therefore, determining residential preferences is necessary to develop corresponding housing policies.

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3

Kamruzzaman, M., Simon Washington, Douglas Baker, and Gavin Turrell. "Does Residential Dissonance Affect Residential Mobility?" Transportation Research Record: Journal of the Transportation Research Board 2344, no. 1 (January 2013): 59–67. http://dx.doi.org/10.3141/2344-07.

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4

P. Tonkovic, Michael, and Syed Azfar Hussain. "Residential and non-residential electricity dynamics." Energy Economics 64 (May 2017): 262–71. http://dx.doi.org/10.1016/j.eneco.2017.04.003.

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5

Haristianti, Vika, and Wiwik Dwi Pratiwi. "Transformasi Spasial Hunian Pada Eks-Backpacker Enclaves Studi Kasus: Jalan Jaksa, Jakarta Pusat." Review of Urbanism and Architectural Studies 18, no. 1 (June 30, 2020): 52–63. http://dx.doi.org/10.21776/ub.ruas.2020.018.01.5.

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This study aims to discover the extent of spatial transformation in residential areas on Jalan Jaksa, known as the ex-backpacker enclaves due to the concept of supply and demand. Spatial function, building facades, and corridors in residentials are the assessed variables. This study uses a qualitative method. Data collection is done by field observations, interviews, and literature review. The sampling method is using a non-random type or probability sample. The results of the analysis showed that from 26 samples there were 12 building/ residential samples (46.1%) that underwent installation, meaning that the building characteristics were adaptive, five buildings/ residential samples (19.2%) had insertion, meaning that the building was considered to be quite adaptive, and nine buildings/ residential samples (34 %) experiencing intervention, which means the building is not adaptive. In addition, the most changing category is the transformation in housing into multi-story buildings, lodging, and mixed-use buildings.

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6

Boterman, Willem R. "The role of geography in school segregation in the free parental choice context of Dutch cities." Urban Studies 56, no. 15 (April 1, 2019): 3074–94. http://dx.doi.org/10.1177/0042098019832201.

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School segregation and residential segregation are generally highly correlated. Cities in the Netherlands are considered to be moderately segregated residentially, while the educational landscape is choice-based but publicly funded. This article analyses how school and residential segregation are interrelated in the educational landscape of Dutch cities. Drawing on individual register data about all primary school pupils in the 10 largest cities, it demonstrates that segregation by ethnicity and social class is generally high, but that the patterns differ strongly between cities. By hypothetically allocating children to the nearest schools, this article demonstrates that even in a highly choice-based school context school segregation is to a large extent the effect of residential patterns. The role of residential trends, notably gentrification, is therefore crucial for understanding the differences in current trends of school segregation across Dutch urban contexts.

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7

Stratford, Jean Slemmons, Juri Stratford, and John Richardson. "Phonedisc USA national residential set (western residential edition and eastern residential edition)." Government Publications Review 20, no. 1 (January 1993): 87–89. http://dx.doi.org/10.1016/0277-9390(93)90059-x.

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8

Sudarmanto, B., S. Suranto, S. Suntoro, and J. Sutrisno. "Identifying the relationship between changes in vegetation indices and the anthropogenic activities in the tropical Semarang City of Indonesia using space imagery." IOP Conference Series: Earth and Environmental Science 1180, no. 1 (May 1, 2023): 012055. http://dx.doi.org/10.1088/1755-1315/1180/1/012055.

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Abstract The existence of vegetation in the watershed area as a function of maintaining the continuity of the process of soil infiltration, erosion resistance, and landslide resistance is essential. Studies that measure the existence of vegetation through vegetation index parameters by utilizing optical-based satellite imagery maps, as well as radiometric waves or Radio Detection and Ranging (RADAR), have been widely carried out. However, attempts to test it to formulate it into vegetation resilience indices on the scale of functional areas such as watersheds are still a challenge in itself. In this study, the vegetation resilience index was measured by looking for spatial change patterns from Normalized Difference Vegetation Index (NDVI) and the Soil-Adjusted Vegetation Index (SAVI) in 2015-2021. This spatial pattern change is associated with anthropogenic factors represented by the dynamics of changes in vegetation to housing and population distribution. The use of residential land is obtained from the interpretation of optical-based satellite imagery maps from Google Earth sources mitigated by the administrative boundaries of villages. The population change was obtained from statistical data on the village’s population in the same year. The change in vegetation index, residential, and inhabitants were examined by the Spatial Autocorrelation (SA) using the Global Moran’s Index (GMI). Finally, the changes in the spatial patterns in vegetation indices, residentials index, and inhabitant index were conducted with correlation analysis to determine the relationship between these parameters. The results of GMI indicate a tendency towards dispersion in NDVI and SAVI, which showed a linear index decline in the dry season but weak linear indices incline in the wet season. The trend of dispersion patterns also occurs in residential and inhabitants, showing a linear index decline with a high confidence level (R2=0.9171 in residentials and R2=0.5872 in inhabitants). The relationship between pattern changes in NDVI and SAVI and Residential and Inhabitant found by the following formula; NDVI = 0.214173 -3.12952 * Residential + 6.457788 * Inhabitant; SAVI = 0.101544 + 0.120294 * Residential + 1.963223 * Inhabitant.

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9

Strait, John Byron, and Gang Gong. "An Evolving Residential Landscape in Post-Katrina New Orleans." International Journal of Applied Geospatial Research 3, no. 4 (October 2012): 1–19. http://dx.doi.org/10.4018/jagr.2012100101.

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Residential landscapes across the United States have been significantly altered in recent years by the increased racial and ethnic diversity evident within urban areas. In New Orleans, Louisiana, residential landscapes were particularly impacted by the disruptive influences associated with Hurricane Katrina, a storm that ultimately transformed the demographic make-up of this urban area. This research investigates the impacts that increased diversity has had on the levels of residential segregation among racial and/or ethnic groups in New Orleans from 2000 to 2010. Empirical analysis entailed the measurement of two dimensions of segregation evident among Non-Hispanic whites, African-Americans, Hispanics and Asians. Measures of residential exposure were decomposed in order to investigate the relative impacts of metropolitan-wide compositional change and intra-urban redistributive change on segregation among the four groups. During the 2000s, New Orleans exhibited very modest forms of residential integration. Results suggest that Non-Hispanic whites, Asians, and Hispanics exhibited some degree of “ethnic (or racial) self-selectivity” that functioned to concentrate these groups residentially, although these forces were partially overwhelmed by other forces operating at both the neighborhood and metropolitan scales. The evidence further suggests that the residential experiences among minorities were strongly impacted by the redistributive behavior of whites.

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10

Sahaidak, V. V. "Residential and Non-residential Property: Tax Analysis." State and Regions. Series: Law 3 (2019): 204–8. http://dx.doi.org/10.32840/1813-338x-2019-3-33.

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11

Coulson, N. Edward, and Myeong-Soo Kim. "Residential Investment, Non-residential Investment and GDP." Real Estate Economics 28, no. 2 (June 2000): 233–47. http://dx.doi.org/10.1111/1540-6229.00800.

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12

Ge, Jian, and Kazunori Hokao. "Research on residential lifestyles in Japanese cities from the viewpoints of residential preference, residential choice and residential satisfaction." Landscape and Urban Planning 78, no. 3 (November 2006): 165–78. http://dx.doi.org/10.1016/j.landurbplan.2005.07.004.

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13

Febrianti, Denisa Eka, Alfi Tranggono Agus Salim, Wida Yuliar Rezika, Muhamad Azwar Annas, and Suyatno Suyatno. "Effectiveness of Noise Barriers Based on Waste Materials in Case Study of Residential Noise Due to Double-Track Railways." Journal of Physics and Its Applications 6, no. 1 (November 27, 2023): 18–23. http://dx.doi.org/10.14710/jpa.v6i1.19992.

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The noise pollution in residential areas adjacent to double-track railways can significantly disturb the comfort and well-being of residents. The noise originates from passing trains on these double-track railways. The research problem aims to compare the noise levels in the residential area with the standard noise threshold and evaluate the effectiveness of a noise barriers based on waste material called sustainable noise barrier. The effectiveness of reducing noise levels for communities residing near the dual railway lines. The sustainable noise barrier is constructed using waste cardboard and sawdust as sound absorbers for reducing noise from passing trains. The objective of the research is to analyze the noise levels in the residential areas near the dual railway lines, referring to the noise threshold value specified in Kep.MenLH No.48 of 1996, which is 55 dBA. Additionally, the research aims to assess the effectiveness of the sustainable noise barrier in mitigating noise pollution in these residential areas. The research employs a quantitative experimental method, following the SNI 8427 of 2017 standard for measuring residential noise pollution and determining the sustainable noise barrier's effectiveness using Insertion Loss (IL) and Sound Transmission Loss (STL) measurements in both laboratory-scale and existing conditions (alongside the double-track railways). The research findings indicate that the noise levels in residential areas adjacent to dual railway lines exceed the threshold value, reaching 78.08 dBA. However, the sustainable noise barrier proves to be effective in reducing noise pollution by 27 dB at a frequency of 1,000 Hz in the residential areas neighboring the double-track railways. This research suggests that limiting noise disturbances in residental areas bordering railway lines is one solution with noise barriers.

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14

Ersing, Robin L., Richard Sutphen, and Diane Nicole Loeffler. "Exploring the Impact and Implications of Residential Mobility: From the Neighborhood to the School." Advances in Social Work 10, no. 1 (March 19, 2009): 1–18. http://dx.doi.org/10.18060/77.

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This cross-sectional study examines residential relocation among a cohort of 495 fifth graders in one urban community in the Southeastern U.S. The impact of residential mobility is discussed in relation to student/family outcomes as well as the stressors placed upon schools. Results support previous findings which suggest residential relocation is correlated with academic problems. In addition, highly mobile students are twice as likely to be referred by teachers for disciplinary intervention and families are five times more likely than their residentially stable counterparts to be involved with child protective services. Implications from this study address the need for school systems, including school social workers, to look beyond the classroom to understand and respond to the needs of highly mobile families.

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15

Bradbury, Andrew P. "Late Middle Archaic settlement systems in West-Central Illinois." North American Archaeologist 38, no. 1 (December 4, 2016): 24–62. http://dx.doi.org/10.1177/0197693116681355.

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Data from a sample of late Middle Archaic sites in west-central Illinois are examined in light of Binford’s forager–collector model. Quantitative methods (correspondence and diversity analyses) are applied to the lithic data from the sites. It is suggested that a mix of mobility strategies was employed in the region during late Middle Archaic. Large, possibly multiseason, valley located residential sites were occupied during the warm season. People occupying such sites were logistically mobile and employed logistical sites to supply some of the resources. In contrast, smaller, upland residential sites were occupied by few people for shorter durations during the cold season. People were residentially mobile while occupying the upland residential sites. The methods demonstrated in the paper are applicable to other regions and time periods.

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16

Trojanek, Radosław. "Cyclical Behaviour of Residential Markets." JOURNAL OF INTERNATIONAL STUDIES 3, no. 1 (May 20, 2010): 28–35. http://dx.doi.org/10.14254/2071-8330.2010/3-1/3.

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17

Gibbs, Norah. "RESIDENTIAL TREATMENT." Developmental Medicine & Child Neurology 5, no. 2 (November 12, 2008): 184–85. http://dx.doi.org/10.1111/j.1469-8749.1963.tb05023.x.

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18

Ames, David. "Residential care." Current Opinion in Psychiatry 5, no. 4 (August 1992): 575–79. http://dx.doi.org/10.1097/00001504-199208000-00020.

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19

Pellenbarg, Piet H., and Paul J. M. Van steen. "Residential Preference." Tijdschrift voor economische en sociale geografie 104, no. 3 (June 16, 2013): 393–96. http://dx.doi.org/10.1111/tesg.12037.

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20

Hess, Allegra. "Residential Treatment." Residential Treatment For Children & Youth 7, no. 4 (November 1990): 41–55. http://dx.doi.org/10.1300/j007v07n04_05.

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21

Morris, Tim, David Manley, and Clive E. Sabel. "Residential mobility." Progress in Human Geography 42, no. 1 (May 19, 2016): 112–33. http://dx.doi.org/10.1177/0309132516649454.

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Research into health disparities has long recognized the importance of residential mobility as a crucial factor in determining health outcomes. However, a lack of connectivity between the health and mobility literatures has led to a stagnation of theory and application on the health side, which lacks the detail and temporal perspectives now seen as critical to understanding residential mobility decisions. Through a critical re-think of mobility processes with respect to health outcomes and an exploitation of longitudinal analytical techniques, we argue that health geographers have the potential to better understand and identify the relationship that residential mobility has with health.

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22

Barnes, Rosemary, Nina Josefowitz, and Ester Cole. "Residential Schools." Canadian Journal of School Psychology 21, no. 1-2 (December 2006): 18–32. http://dx.doi.org/10.1177/0829573506298751.

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23

Stovel, Katherine, and Marc Bolan. "Residential Trajectories." Sociological Methods & Research 32, no. 4 (May 2004): 559–98. http://dx.doi.org/10.1177/0049124103262683.

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24

Lieberman, Robert E. "Redefining Residential." Residential Treatment For Children & Youth 26, no. 4 (November 12, 2009): 223–25. http://dx.doi.org/10.1080/08865710903256213.

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25

Wilder, Madelyn. "Residential Quality." Journal of Housing For the Elderly 11, no. 1 (August 5, 1994): 99–119. http://dx.doi.org/10.1300/j081v11n01_08.

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26

Bullock, Roger. "Residential Care." Children & Society 6, no. 4 (December 18, 2007): 382–84. http://dx.doi.org/10.1111/j.1099-0860.1992.tb00402.x.

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27

Leventhal, Bennett L., and D. Patrick Zimmerman. "Residential treatment." Child and Adolescent Psychiatric Clinics of North America 13, no. 2 (April 2004): xv—xvii. http://dx.doi.org/10.1016/s1056-4993(03)00114-7.

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28

LEWIS, M. "Residential treatment." Child and Adolescent Psychiatric Clinics of North America 13, no. 2 (April 2004): xiii. http://dx.doi.org/10.1016/s1056-4993(04)00002-1.

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29

Lee, Barrett A., Stephen A. Matthews, John Iceland, and Glenn Firebaugh. "Residential Inequality." ANNALS of the American Academy of Political and Social Science 660, no. 1 (June 9, 2015): 8–16. http://dx.doi.org/10.1177/0002716215579832.

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30

Firebaugh, Glenn, John Iceland, Stephen A. Matthews, and Barrett A. Lee. "Residential Inequality." ANNALS of the American Academy of Political and Social Science 660, no. 1 (June 9, 2015): 360–66. http://dx.doi.org/10.1177/0002716215580060.

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31

Catt, Richard. "Residential squares." Structural Survey 13, no. 4 (December 1995): 16–20. http://dx.doi.org/10.1108/02630809510104858.

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32

Oishi, Shigehiro, Asuka Komiya, Minkyung Koo, Youngjae Cha, and Radhika Kothari. "The Socioecological Psychology of Financial Debts: The Role of Residential Mobility." Journal of Cross-Cultural Psychology, November 7, 2023. http://dx.doi.org/10.1177/00220221231204221.

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We examined individual, regional, and cultural differences in household debts and identified residential mobility as a key socioecological variable at multiple levels of analysis. Study 1 found that American households’ debt rates were higher than Japanese debt rates. Across 76 countries, household debts were higher in residentially mobile countries than those in residentially stable ones (Study 2). Next, across 144 U.S. cities, residents of residentially mobile cities had more credit card debts than those of residentially stable cities (Study 3). We further replicated the international and U.S. findings across 366 districts in India (Study 4). Study 5 found that American participants were more residentially mobile and more willing to borrow than Japanese participants, and the willingness to borrow was partly explained by the personal history of residential mobility. Study 6 found that residentially mobile individuals felt less indebtedness/gratitude than residentially stable individuals; the study also found how indebtedness/gratitude impacted individuals’ credit card debts and willingness to borrow.

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33

Yilmaz, Cansu, Emre Selcuk, Gul Gunaydin, Banu Cingöz-Ulu, Alpay Filiztekin, and Oya Kent. "You Mean the World to Me: The Role of Residential Mobility in Centrality of Romantic Relationships." Social Psychological and Personality Science, December 30, 2021, 194855062110610. http://dx.doi.org/10.1177/19485506211061017.

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Integrating the suffocation model of marriage with research on residential mobility, the current studies examined for the first time whether long-term romantic relationships are more central for residentially mobile (vs. stable) individuals (total N across three studies = 5,366; age range = 18–95). In Study 1, individuals who moved away from their place of birth (vs. not) were more likely to first confide in their spouse over other network members on important matters. In Study 2, history of frequent residential moves was associated with greater importance ascribed to romantic partners in the attachment hierarchy. In Study 3, the slope of perceived partner responsiveness predicting eudaimonic well-being got steeper as residential mobility increased. By showing the role of residential mobility in romantic relationships, our findings highlight the importance of studying socioecological factors to gain a deeper understanding of how relationship processes unfold.

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34

Zuo, Shijiang, Xueli Zhu, Fang Wang, Niwen Huang, and Pan Cai. "Moving towards darkness: The personality-environment association between the Dark Triad and residential mobility." European Journal of Personality, November 9, 2023. http://dx.doi.org/10.1177/08902070231209789.

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Population migration, as one of the most significant activities in human history and current societies, can shape a mobile social ecology entwined with personality traits. In this research, we tested whether the Dark Triad personality traits would adaptively emerge in and self-select into a residentially mobile ecology across eight studies (total N = 6147). Studies 1–2 demonstrated the relationship between residential mobility and the Dark Triad traits. Personal residential mobility was positively related to the Dark Triad traits (Study 1b), and this relationship was detected by lay persons (Study 1a). Residents living in a country (Study 2a) or a province (Study 2b) with a high net population outflow reported a high level of the Dark Triad traits. Studies 3–4 explored the interplay of residential mobility and the Dark Triad traits. Studies 3a–3b revealed the shaping effect of residential mobility, showing that individuals with the mindset of residential mobility (vs. stability) tended to resort to the Dark Triad traits. In contrast, individuals who possess a high level of Dark Triad traits prefer a mobile lifestyle (Study 4a) and a residence with high outflow (Study 4b). Together, this research empirically illuminated the associations and the interactions between residential mobility and personality traits.

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35

"Residential Life." Higher Education Abstracts 56, no. 1 (January 2021): 46. http://dx.doi.org/10.1111/hea.33_12162.

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36

"Residential MapTrek." Case Medical Research, August 1, 2019. http://dx.doi.org/10.31525/ct1-nct04041869.

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37

"Residential homes." Nursing Standard 4, no. 40 (June 27, 1990): 5. http://dx.doi.org/10.7748/ns.4.40.5.s5.

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38

"Residential Life." Higher Education Abstracts 56, no. 2 (April 2021): 158. http://dx.doi.org/10.1111/hea.35_12166.

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39

"Residential Life." Higher Education Abstracts 56, no. 3 (July 2021): 259. http://dx.doi.org/10.1111/hea.30_12174.

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40

"Residential Life." Higher Education Abstracts 56, no. 4 (October 2021): 360. http://dx.doi.org/10.1111/hea.34_12178.

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41

"Residential Survey." Nursing Standard 2, no. 7 (November 14, 1987): 12. http://dx.doi.org/10.7748/ns.2.7.12.s27.

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42

"Residential care." Nursing Standard 5, no. 49 (August 28, 1991): 8. http://dx.doi.org/10.7748/ns.5.49.8.s12.

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43

"Residential care." Quality in Ageing and Older Adults 14, no. 1 (March 8, 2013). http://dx.doi.org/10.1108/qaoa.2013.55914aaa.003.

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44

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 1 (October 2001): 63. http://dx.doi.org/10.1111/j.2150-1092.2001.tb00300.x.

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45

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 2 (January 2002): 165–66. http://dx.doi.org/10.1111/j.2150-1092.2002.tb00345.x.

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46

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 3 (April 2002): 261–67. http://dx.doi.org/10.1111/j.2150-1092.2002.tb00389.x.

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47

"RESIDENTIAL LIFE." Higher Education Abstracts 37, no. 4 (July 2002): 346. http://dx.doi.org/10.1111/j.2150-1092.2002.tb00430.x.

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48

"RESIDENTIAL LIFE." Higher Education Abstracts 38, no. 2 (January 2003): 164–65. http://dx.doi.org/10.1111/j.2150-1092.2003.tb00517.x.

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49

"RESIDENTIAL LIFE." Higher Education Abstracts 38, no. 3 (April 2003): 258–60. http://dx.doi.org/10.1111/j.2150-1092.2003.tb00559.x.

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"RESIDENTIAL LIFE." Higher Education Abstracts 39, no. 2 (January 2004): 154–57. http://dx.doi.org/10.1111/j.2150-1092.2004.tb00697.x.

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