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1

Li, Nan. "Using the probabilistic fertility table to test the statistical significance of fertility trends." Canadian Studies in Population 43, no. 3-4 (2016): 203. http://dx.doi.org/10.25336/p6fp4f.

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At below replacement level, fertility changes are subtle and complex; distinguishing statistically significant trends from random shifts is becoming a relevant issue. The probabilistic fertility table describes the uncertainty of the childbearing process, and provides a significance test for the annual changes of various fertility measures, which is essential for distinguishing a statistically significant change from a random fluctuation. This paper provides an analytical model for the total fertility of the probabilistic fertility table, and extends the significance test to period trends that
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2

Ariwangga, Wira Andhika, Singgih Susilo, Ifan Deffinika, and Djoko Soelistijo. "Pengaruh pendapatan keluarga, tingkat pendidikan, dan usia kawin pertama terhadap fertilitas di Desa Mojosulur Kecamatan Mojosari Kabupaten Mojokerto." Jurnal Integrasi dan Harmoni Inovatif Ilmu-Ilmu Sosial (JIHI3S) 2, no. 11 (2022): 1063–75. http://dx.doi.org/10.17977/um063v2i11p1063-1075.

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The rate of population growth is caused by migration, birth, and death. Fertility is the most dominant influence. Mojokerto district is a rapidly growing district because of the development of the main line of development, but the negative effects of that result result in fertility issues particularly from the birth rate (fertility). Mojokerto district has always increased in population and mojosari district has become one of the highest population. The village of mojosulur was one of the fertility donors of 305 inhabitants of the mojosari district. The purpose of this study is to know how muc
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3

Ekawati, Rindang, Rina Herartri, Nuraini Nuraini, Laili Rahayuwati, and Sukamdi Sukamdi. "Fertilitas Migran dan Faktor Yang Memengaruhi Fertilitas di Jawa Barat." Populasi 25, no. 2 (2018): 44. http://dx.doi.org/10.22146/jp.36203.

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Migrasi merupakan salah satu faktor yang memengaruhi dinamika penduduk, baik melalui jumlah migran maupun fertilitas migran. Jumlah migrasi yang besar ke Provinsi Jawa Barat merupakan salah satu penyebab peningkatan jumlah penduduk yang cukup besar. Jika migran memiliki fertilitas yang lebih tinggi dibandingkan dengan nonmigran, maka pengaruh tersebut akan lebih besar lagi. Penelitian ini bertujuan untuk mengkaji perbedaan fertilitas antara migran dan nonmigran serta faktor-faktor yang memengaruhi fertilitas di Jawa Barat. Data yang digunakan adalah data Survei Sosial Ekonomi Nasional (Susenas
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4

Wallace, Ashley R., and Karen Splinter. "Does proximity to a fertility centre increase the chance of achieving pregnancy in Northeastern Ontario?" Canadian Journal of Rural Medicine 29, no. 2 (2024): 63–70. http://dx.doi.org/10.4103/cjrm.cjrm_20_23.

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Abstract Introduction: Northern Ontario has a population of approximately 800,000 people distributed over 806,707 km2. Before 2018, the only fertility treatment centre in Northern Ontario was located in Thunder Bay; many patients travelled south for care. In 2018, the Northeastern Ontario Women’s Health Network (NEOWHN) opened in Sudbury, providing fertility treatments to people living in Northeastern Ontario. The goal of this study was to determine if proximity to this new fertility centre increases one’s chance of achieving pregnancy when undergoing fertility treatment. Secondary outcomes in
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5

JR, Chandran. "Transgender & Fertility." Open Access Journal of Gynecology 8, no. 3 (2023): 1–4. http://dx.doi.org/10.23880/oajg-16000264.

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TGD –Adults are transwomen and men with gender identity different from that assigned at birth. Unless they undergo sex reassignment surgery or medication their fertility is well preserved and they can reproduce. Presenting a case report of first transgender couple from Kerala, India with successful pregnancy and delivery.
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6

Bracher, Michael, and Gigi Santow. "Fertility desires and fertility outcomes." Journal of the Australian Population Association 8, no. 1 (1991): 33–49. http://dx.doi.org/10.1007/bf03029554.

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7

Apriwana, Cintami. "Pengaruh Faktor Sosial Ekonomi terhadap Tingkat Fertilitas di Kecamatan Tembalang Kota Semarang." Efficient: Indonesian Journal of Development Economics 2, no. 3 (2019): 598–605. http://dx.doi.org/10.15294/efficient.v2i3.35952.

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Fertility is one of the causes of the high population in an area. The problem in this study showed the high level of fertility in Sub-district Tembalang, Semarang, although the population of the District Tembalang is a second largest population after the District Pedurungan. The subjects of this study were heads mother in Sub Tembalang. This study using a sample of 100 respondents of the total population which is 10.600 people The analytical tool used in this study is descriptive analysis and multiple linear regression by using SPSS software version 16.0.The results are obtain socioeconomic va
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8

Churilova, Elena V., Evgeny M. Andreev, Kirill O. Chertenkov, Pavel A. Kishenin, Olga A. Rodina, and Vera V. Sokolova. "Russian Fertility Database." Population and Economics 8, no. (4) (2024): 138–49. https://doi.org/10.3897/popecon.8.e135073.

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The Russian Fertility Database contains a series of fertility indicators by birth order for Russia from 1946 to 2022, cohort fertility tables by birth order, and fertility rates by birth order for Russian women born between 1932 and 1988. All fertility indicators are calculated using data from official population statistics provided by the Federal State Statistics Service. The article describes the structure of the database, the source data, and the methodology of calculating period and cohort fertility rates, as well as cohort fertility tables by birth order. The Russian Fertility Database ca
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9

Tan, Seang Lin. "Fertility." Current Opinion in Obstetrics and Gynecology 8, no. 3 (1996): 159–60. http://dx.doi.org/10.1097/00001703-199606000-00001.

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10

Sondheimer, Steven J. "Fertility." Current Opinion in Obstetrics and Gynecology 9, no. 3 (1997): 145–46. http://dx.doi.org/10.1097/00001703-199706000-00001.

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11

Sondheimer, Steven J. "Fertility." Current Opinion in Obstetrics and Gynaecology 10, no. 3 (1998): 211. http://dx.doi.org/10.1097/00001703-199806000-00006.

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12

O'Driscoll, Muriel. "Fertility." Midwifery 13, no. 1 (1997): 49–50. http://dx.doi.org/10.1016/s0266-6138(97)90049-8.

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13

Aldhous, Peter, and Natalie DeWitt. "Fertility." Nature 432, no. 7013 (2004): 37. http://dx.doi.org/10.1038/432037a.

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14

Ottesen, Carol Clark. "Fertility." Dialogue: A Journal of Mormon Thought 32, no. 3 (1999): 44. http://dx.doi.org/10.2307/45226610.

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15

Basten, Stuart, Tomáš Sobotka, Kryštof Zeman, et al. "Future Fertility in Low Fertility Countries." Institut für Demographie - VID 1 (2021): 1–137. http://dx.doi.org/10.1553/0x003d06e2.

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16

Luo, Hao, and Zhuoyan Mao. "From Fertility Intention to Fertility Behaviour." Asian Population Studies 10, no. 2 (2014): 195–207. http://dx.doi.org/10.1080/17441730.2014.902162.

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17

Schoen, Robert, Nan Marie Astone, Young J. Kim, Constance A. Nathanson, and Jason M. Fields. "Do Fertility Intentions Affect Fertility Behavior?" Journal of Marriage and the Family 61, no. 3 (1999): 790. http://dx.doi.org/10.2307/353578.

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18

Defandri, Wendi, Neng Murialti, and Muhammad Hidayat. "Analisis Penurunan Angka Kelahiran di Korea Selatan." COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat 3, no. 11 (2024): 4728–36. http://dx.doi.org/10.59141/comserva.v3i11.1246.

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Penurunan total fertility rate di Korea Selatan sudah menduduki posisi terendah diseluruh dunia, di tahun 2022 total fertilty rate yakni 0.78 anak per wanita. Penelitian ini bertujuan melihat pengaruh jumlah perkawinan, jumlah penduduk lanjut usia, angkaperceraian, dan harga rumah terhadap total fertility rate di Korea Selatan. Dengan mengambil beberapa sample wilayah yakni kota metropolitan (???) Kwangju, Deajon, dan Ulsan. Kota pemerintahan sendiri khusus (?????) Sejong, Provinsi Gangwon (???),Provinsi Jeolla Utara (????), dan Provinsi pemerintahan sendiri khusus (?????) Jeju. Penelitian ini
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19

Kambou, KKA, SA Hema, M. Traore, B. Koulibaly, A. Wetzer, and AA Sanon. "Typologies et aptitudes agronomiques des sols des micro-bassins versants des communes de Koumbia et de Satiri, dans la zone soudanienne du Burkina Faso." Journal de la Recherche Scientifique de l’Université de Lomé 26, no. 2 (2024): 11–23. http://dx.doi.org/10.4314/jrsul.v26i2.30.

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Au Burkina Faso les micro-bassins sont des zones à fortes potentialités agricoles. La présente étude vise à déterminer les différents types de sols et d’évaluer leurs potentialités agronomiques dans les microbassins des communes de Koumbia et de Satiri, respectivement dans les provinces du Tuy et du Houet au Burkina Faso. La description des sols a été faite suivant les normes FAO en vigueur et leurs niveaux de fertilité, selon la grille d’appréciation du Bureau National des Sols. Les résultats ont montré que dans la commune de Satiri, les micro-bassins sont dominés par des sols ferrugineux tro
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20

MAZHARUL ISLAM, M., and RADHESHYAM BAIRAGI. "FERTILITY INTENTIONS AND SUBSEQUENT FERTILITY BEHAVIOUR IN MATLAB: DO FERTILITY INTENTIONS MATTER?" Journal of Biosocial Science 35, no. 4 (2003): 615–19. http://dx.doi.org/10.1017/s0021932003006072.

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This study examines the extent of the interrelationship between future fertility intention and subsequent fertility behaviour in rural Bangladesh using longitudinal data. It confirms that fertility intention is an important predictor of subsequent fertility behaviour for rural Bangladeshi women. Women wanting no more children are over three times less likely to have a child during a 5-year follow-up than those wanting more children. A multivariate model using logistic regression shows that fertility intention is a useful indicator for fertility behaviour, when background and life-cycle variabl
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21

Zulkifli, Zulkifli, Amri Amri, and Eddy Munawar. "ANALISIS FERTILITAS DI PROVINSI ACEH." JURNAL PERSPEKTIF EKONOMI DARUSSALAM 6, no. 1 (2020): 54–71. http://dx.doi.org/10.24815/jped.v6i1.16173.

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The purpose of this study is to find out the factors that affect the fertility of the women of childbearing age (WUS) in Aceh Province. The dependent variable used was fertility and the independent variables are Household Wealth, Residence (rural or urban), Age, Education,The Age of First Childbirth, and The Age of First Marriage. The data used are secondary data from Survey Demograsi dan Kesehatan Indonesia (SDKI) 2017 and analyzed using multiple linear regression model. The results showed that Age had a positive and significant effect, while the other independent variables namely Residence (
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22

Bledsoe, Caroline H., René Houle, and Papa Sow. "High fertility Gambians in low fertility Spain." Demographic Research 16 (May 3, 2007): 375–412. http://dx.doi.org/10.4054/demres.2007.16.12.

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23

Beaujouan, Éva. "Late Fertility Intentions and Fertility in Austria." Institut für Demographie - VID 1 (2021): 1–37. http://dx.doi.org/10.1553/0x003ccd3c.

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24

Stoop, Dominic, Ana Cobo, and Sherman Silber. "Fertility preservation for age-related fertility decline." Lancet 384, no. 9950 (2014): 1311–19. http://dx.doi.org/10.1016/s0140-6736(14)61261-7.

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25

Diedrich, K., B. C. J. M. Fauser, and P. Devroey. "Cancer and fertility: strategies to preserve fertility." Reproductive BioMedicine Online 22, no. 3 (2011): 232–48. http://dx.doi.org/10.1016/j.rbmo.2010.11.001.

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26

Donnez, Jacques, Marie-Madeleine Dolmans, Antonio Pellicer, et al. "Fertility preservation for age-related fertility decline." Lancet 385, no. 9967 (2015): 506–7. http://dx.doi.org/10.1016/s0140-6736(15)60198-2.

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27

Mol, Ben W., and Miriam Zoll. "Fertility preservation for age-related fertility decline." Lancet 385, no. 9967 (2015): 507. http://dx.doi.org/10.1016/s0140-6736(15)60199-4.

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28

Allgeier, Elizabeth Rice. "The Fertility of Research Ideas on Fertility." Contemporary Psychology: A Journal of Reviews 37, no. 9 (1992): 892–93. http://dx.doi.org/10.1037/032565.

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29

Kadir, Muhammad Jurhadi, Asis Asis, and Irmayani Irmayani. "Efek Penambahan Tepung Limbah Tauge dalam Ransum Terhadap Fertilitas dan Daya Tetas Telur Puyuh (Cortunix-cortunix japonica)." Tarjih Tropical Livestock Journal 2, no. 1 (2022): 7–13. http://dx.doi.org/10.47030/trolija.v2i1.351.

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Penelitian ini bertujuan untuk mengetahui efek penambahan limbah tauge dengan level yang berbeda dalam ransum terhadap fertilitas dan daya tetas telur puyuh Menggunakan rancangan acak lengkap (RAL) dengan 4 taraf perlakuan dan 3 ulangan sehingga terdapat 12 unit percobaan, setiap unit percobaan terdiri dari 10 ekor puyuh dengan total 120 ekor puyuh. Masing-masing perlakuan terdiri atas P0: ransum tanpa limbah tauge (kontrol), P1: Ransum dengan limbah tauge 3%, P2: Ransum dengan limbah tauge 6%, P3: Ransum dengan limbah tauge 8%. Hasil analisis ragam menunjukkan bahwa penambahan tepung limbah t
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30

Tisen, Tisen. "DESKRIPSI TINGKAT FERTILITAS TOTAL ( TOTAL FERTILITY RATE ) PROVINSI GORONTALO." Akademika : Jurnal Ilmiah Media Publikasi Ilmu Pengetahuan dan Teknologi 8, no. 1 (2019): 1. http://dx.doi.org/10.31314/akademika.v8i1.292.

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The increase in TFR is predicted to have a negative impact on the Government and the community. The ASFR factor is one of the demographic factors that is closely related to TFR, the studied is to get a picture and control solution, especially in the Goron talo province. The data used in this paper is the data of Gorontalo Province’s SKAP 2018 in 2018, the population of this survey is WUS (15 to 49 years), families and adolescents aged 15 to 24 years are not married and house holds in sele cted clusters . The sampling design used stratified multistage sampling , with a total of 48 clusters sele
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31

Prananda, Dio, Idris Idris, and Dewi Zaini Putri. "DAMPAK KESEHATAN TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA." Jurnal Ecogen 1, no. 3 (2019): 578. http://dx.doi.org/10.24036/jmpe.v1i3.5028.

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This study aims to determine and analyze the impact of life expentacy, fertilitiy rates, morbidity rates, and investment on economic growth in Indonesia. This type of research is associative descriptive research, where the data used was secondary data from 1985 to 2015 obtained from related institutions, which are analyzed using the Ordinary Least Square (OLS) method. The findings of this study indicate that life expectancy, fertility rates, morbidity rates, and investment have a significant effect on economic growth in Indonesia. Keywords: life expectancy, fertility rates, morbidity rates, in
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32

Salim, Lutfi Agus, Lutfan Lazuardi, and Kuntoro Kuntoro. "Smart Fert: Aplikasi Praktis, Valid, dan Mudah Untuk Mengukur Indikator Fertilitas di Era Otonomi Daerah." Populasi 25, no. 1 (2018): 33. http://dx.doi.org/10.22146/jp.32365.

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Indikator fertilitas, seperti Crude Birth Rate (CBR), Total Fertility Rate (TFR), General Fertility Rate (GFR), dan Gross Reproductive Rate (GRR), untuk mengukur kinerja pengendalian penduduk setiap tahun di level kabupaten/kota sejak otonomi daerah sering tidak tersedia. Aplikasi sistem informasi fertilitas Smart Fert sebagai alat untuk mengukur indikator fertilitas yang praktis, valid, dan mudah diaplikasikan sangat layak untuk dikembangkan. Tujuan penelitian ini adalah mengembangkan aplikasi Smart Fert serta menguji hasil perhitungan indikator fertilitas dari aplikasi Smart Fert dibandingka
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33

Knapp, Bettina L. "Fertility Dance." Performing Arts Journal 9, no. 1 (1985): 61. http://dx.doi.org/10.2307/3247814.

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34

Pagani, O. "Fertility preservation." Breast 56 (April 2021): S12. http://dx.doi.org/10.1016/s0960-9776(21)00078-3.

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35

Aizen, Icek, and Jane Klobas. "Fertility intentions." Demographic Research 29 (July 31, 2013): 203–32. http://dx.doi.org/10.4054/demres.2013.29.8.

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36

Jensen, Jani R., Dean E. Morbeck, and Charles C. Coddington. "Fertility Preservation." Mayo Clinic Proceedings 86, no. 1 (2011): 45–49. http://dx.doi.org/10.4065/mcp.2010.0564.

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37

Zhang, Lu, Li-Ying Yan, Xu Zhi, Jie Yan, and Jie Qiao. "Female Fertility." Chinese Medical Journal 128, no. 3 (2015): 390–97. http://dx.doi.org/10.4103/0366-6999.150115.

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38

Eckert, Donald J. "Soil Fertility." Journal of Environmental Quality 18, no. 4 (1989): 557–58. http://dx.doi.org/10.2134/jeq1989.00472425001800040035x.

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39

Keeble, Sally. "Fertility lottery." Nursing Standard 13, no. 37 (1999): 22. http://dx.doi.org/10.7748/ns.13.37.22.s33.

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40

Fernandes, Liwy. "Fertility treatment." Nursing Standard 13, no. 49 (1999): 14–15. http://dx.doi.org/10.7748/ns.13.49.14.s34.

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41

Marshall, Ariela L., Vineet M. Arora, and Arghavan Salles. "Physician Fertility." Academic Medicine 95, no. 5 (2020): 679–81. http://dx.doi.org/10.1097/acm.0000000000003079.

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42

Colinvaux, Paul, and C. F. Jordan. "Amazonian Fertility." Journal of Biogeography 18, no. 3 (1991): 358. http://dx.doi.org/10.2307/2845406.

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43

Love, C. C. "Fertility evaluation." Equine Veterinary Education 18, no. 3 (2010): 165–67. http://dx.doi.org/10.1111/j.2042-3292.2006.tb00438.x.

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44

Mitteldorf, J. "Declining Fertility." Science 282, no. 5393 (1998): 1419b—1419. http://dx.doi.org/10.1126/science.282.5393.1419b.

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Ahmed, Syed D. H., Shahid Ahsan, and Syed I. A. Burney. "Male fertility." Human Andrology 3, no. 3 (2013): 76–80. http://dx.doi.org/10.1097/01.xha.0000432480.17007.64.

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46

&NA;. "Fertility Rates." Journal of Occupational and Environmental Medicine 42, no. 8 (2000): 782. http://dx.doi.org/10.1097/00043764-200008000-00003.

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47

Wright, Karen. "Fertility Rites." Scientific American 259, no. 6 (1988): 14. http://dx.doi.org/10.1038/scientificamerican1288-14a.

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48

Doyle, Rodger. "Fertility Volatility." Scientific American 289, no. 3 (2003): 38–40. http://dx.doi.org/10.1038/scientificamerican0903-38.

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49

SASTRY, G. R. K. "Fertility symbols?" Nature 333, no. 6170 (1988): 202. http://dx.doi.org/10.1038/333202d0.

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50

Pearce, Lynne. "Fertility preservation." Nursing Standard 31, no. 41 (2017): 15. http://dx.doi.org/10.7748/ns.31.41.15.s16.

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