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Journal articles on the topic 'Weight'

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Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2024

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1

Craddock, Nadia. "Weight bias, weight-based discrimination and weighty consequences." Journal of Aesthetic Nursing 6, no. 10 (December 2, 2017): 548–51. http://dx.doi.org/10.12968/joan.2017.6.10.548.

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2

Mandhana, Vaishali S., Anagha S. Nawa, and Gautam A. Shroff. "Placental Weight Fetal Weight and Fetoplacental Weight Ratio in Normotensive and Hypertensive Pregnancies." Indian Journal of Anatomy 6, no. 3 (2017): 374–80. http://dx.doi.org/10.21088/ija.2320.0022.6317.23.

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3

Abrams, Barbara F., and Russell K. Laros. "Prepregnancy weight, weight gain, and birth weight." American Journal of Obstetrics and Gynecology 154, no. 3 (March 1986): 503–9. http://dx.doi.org/10.1016/0002-9378(86)90591-0.

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4

Kulkarni, Rucha. "Correlation of Combined Adrenal Weight to Body Weight in Indian Fetuses." Indian Journal of Anatomy 6, no. 2 (2017): 193–95. http://dx.doi.org/10.21088/ija.2320.0022.6217.18.

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5

Opic, Bohumír, and Petr Gurka. "$A_r$-condition for two weight functions and compact imbeddings of weighted Sobolev spaces." Czechoslovak Mathematical Journal 38, no. 4 (1988): 611–17. http://dx.doi.org/10.21136/cmj.1988.102257.

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6

Pasternak-Winiarski, Zbigniew. "On weights which admit the reproducing kernel of Bergman type." International Journal of Mathematics and Mathematical Sciences 15, no. 1 (1992): 1–14. http://dx.doi.org/10.1155/s0161171292000012.

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In this paper we consider (1) the weights of integration for which the reproducing kernel of the Bergman type can be defined, i.e., the admissible weights, and (2) the kernels defined by such weights. It is verified that the weighted Bergman kernel has the analogous properties as the classical one. We prove several sufficient conditions and necessary and sufficient conditions for a weight to be an admissible weight. We give also an example of a weight which is not of this class. As a positive example we consider the weightμ(z)=(Imz)2defined on the unit disk inℂ.

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7

Ghanti KM Kundavi, Archi. "Association of Ultrasound Estimated Fetal Weight with Actual Birth Weight of Baby." International Journal of Science and Research (IJSR) 13, no. 3 (March 5, 2024): 1895–901. http://dx.doi.org/10.21275/sr24327234958.

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8

Bondarko, Mikhail V. "On weight complexes, pure functors, and detecting weights." Journal of Algebra 574 (May 2021): 617–68. http://dx.doi.org/10.1016/j.jalgebra.2021.02.005.

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9

LI, De-qing, and Fei-long HAO. "Weights Transferring Effect of State Variable Weight Vector." Systems Engineering - Theory & Practice 29, no. 6 (June 2009): 127–31. http://dx.doi.org/10.1016/s1874-8651(10)60054-3.

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10

Podinovski, Victor V. "Optimal weights in DEA models with weight restrictions." European Journal of Operational Research 254, no. 3 (November 2016): 916–24. http://dx.doi.org/10.1016/j.ejor.2016.04.035.

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11

Smith, LaMorgan. "Making the Transplant List: When Weight Weighs In." Kidney360 4, no. 12 (December 2023): 1770–71. http://dx.doi.org/10.34067/kid.0000000000000295.

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12

Bove, Caron F., and Jeffery Sobal. "Body weight relationships in early marriage. Weight relevance, weight comparisons, and weight talk." Appetite 57, no. 3 (December 2011): 729–42. http://dx.doi.org/10.1016/j.appet.2011.08.007.

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13

Schoning, Polly, Howard Erickson, and George A. Milliken. "Body weight, heart weight, and heart-to-body weight ratio in Greyhounds." American Journal of Veterinary Research 56, no. 4 (April 1, 1995): 420–22. http://dx.doi.org/10.2460/ajvr.1995.56.04.420.

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SUMMARY Heart and body weights were obtained from 230 Greyhounds during necropsy. Sex and age were recorded for each Greyhound. Twenty-nine racing and 21 nonracing Greyhounds among the 230 dogs were compared. Heart-to-body weight ratio was calculated. Statistical analysis was done to determine the effects of age, sex, and racing on heart and body weights and heart-to-body weight ratio. In adult Greyhounds, mean ± SD body weight was 28.4 ± 3.1 and 31.5 ± 2.8 kg, heart weight was 355.6 ± 52.8 and 381.4 ± 50.8 g, and heart-to-body weight ratio was 1.3 ± 0.2 and 1.2 ± 0.2% for females and males, respectively. Heart and body weights were significantly different between sex and age groups and among nonracing and racing males. However, heart-to-body weight ratio was not significantly different among age, sex, or racing groups.

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14

Mironov, F. S., and V. V. Moseikina V.V. "LOCOMOTIVE ACTIVITY AND WEIGHT." Amur Medical Journal, no. 15-16 (2016): 90–91. http://dx.doi.org/10.22448/amj.2016.15-16.90-91.

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15

Hong, Phuc Nguyen, and Chang Wook Ahn. "Stereo Matching Using Fusion of Spatial Weight Variable Window and Adaptive Support Weight." International Journal of Computer and Electrical Engineering 6, no. 3 (2014): 211–17. http://dx.doi.org/10.7763/ijcee.2014.v6.824.

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16

Pirsch, John D. "Weight Gain After Kidney Transplantation: Weigh Too Much!" Transplantation 85, no. 10 (May 2008): 1387–88. http://dx.doi.org/10.1097/tp.0b013e31816f1d58.

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17

Resta, Raffaele. "Drude weight and superconducting weight." Journal of Physics: Condensed Matter 30, no. 41 (September 19, 2018): 414001. http://dx.doi.org/10.1088/1361-648x/aade19.

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18

Bhalodia, Avani, Mona Hammam, and Susan F. Paparella. "Weight! Weight! … Don’t Tell Me!" Journal of Emergency Nursing 45, no. 5 (September 2019): 572–75. http://dx.doi.org/10.1016/j.jen.2019.06.004.

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19

Xiao, Lan, Nan Lv, Lisa G. Rosas, David Au, and Jun Ma. "Validation of clinic weights from electronic health records against standardized weight measurements in weight loss trials." Obesity 25, no. 2 (January 6, 2017): 363–69. http://dx.doi.org/10.1002/oby.21737.

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20

Yıldırım, Arda, Yüksel Aksoy, Nuh Ocak, and Zafer Ulutaş. "Some Gastrointestinal Tract Characteristics of Karayaka Ram Lambs Slaughtered at Different Weights." Scientific World Journal 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/379023.

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Thirty-one Karayaka ram lambs were slaughtered at different body weights (30n=7, 35n=6, 40n=7, 45n=6, and 50n=5 kg of body weight at fast) to evaluate the growth of their gastrointestinal tract (GIT) characteristics, to determine the relationship among slaughter body weight (SBW) and empty body weight (EBW), whole GIT and segments, and the influence of slaughter weight on the pH of rumen, jejunum, and cecal contents. The effects of the SBW on GIT weightP<0.05, stomachP<0.001, and intestineP<0.05, the body lengthP<0.001and caecumP<0.05, and the relative weights of GITP<0.05, stomachP<0.001, and intestineP<0.001were linear whereas that for the length of intestine were quadratic. The effect of SBW were quadraticP<0.05on ratios of stomach to GIT weight and intestine length to intestine weight and rumen pH while, for the intestine to GIT weight ratioP<0.001and caecum pHP<0.05, this effect was linear. The results indicated that for all parameters studied, with the exception of intestinal length and cecal pH, linear relationships were observed with SBW indicating steady growth rates for these tissues.

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21

Chimezie, V. O., A. A. Ademola, O. I. Alli, A. E. Jubril, and B. O. Josiah. "Relationship between egg weight, hatching weight and subsequent body weight in the Japanese quail." Nigerian Journal of Animal Production 47, no. 1 (December 19, 2020): 19–23. http://dx.doi.org/10.51791/njap.v47i1.174.

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An experiment to determine the relationship between egg weight, hatch weight and subsequent body weight of the Japanese quail was conducted. A total of 607 eggs collected over 6 days from an existing flock at the Animal Pavilion of the University of Ilorin were used for the experiment. Eggs were individually numbered, weighed and grouped into small (S) medium (M) and large (L) sized eggs based on the mean and standard deviation of the eggs. Mean egg weight were correlated and regressed with mean hatch weight and subsequent weight. Average egg weights were 10.23± 0.84g, 8.49± 0.72g and 6.94± 0.93g for the large, medium and small group respectively. The result showed relationship between egg weight and hatch weight were positive and highly significant (P < 0.01) with values of 0.973, 0.977 and 0.967 for small, medium and large groups, respectively. Relationship between hatch weights and weekly body weights were also positive and significant (P<0.01) for the medium and large groups only but decreased with age. Linear regression equation showed a significant coefficient of determination for weekly body weight using the values for small, medium and large egg weight values. The results of the study showed that egg weight can be reliably used for estimating body weight in Japanese quail and may be used as criteria for early selection of Japanese quail for body weight.

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22

Dunn, Carolyn, Megan Haubenreiser, Madison Johnson, Kelly Nordby, Surabhi Aggarwal, Sarah Myer, and Cathy Thomas. "Mindfulness Approaches and Weight Loss, Weight Maintenance, and Weight Regain." Current Obesity Reports 7, no. 1 (February 14, 2018): 37–49. http://dx.doi.org/10.1007/s13679-018-0299-6.

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23

Cho, Jung-Hwan, Eun-Jung Rhee, and Won-Young Lee. "Body Weight Change and Cardiovascular Disease: Effect of Weight Gain, Weight Loss, and Weight Cycling." Cardiovascular Prevention and Pharmacotherapy 3, no. 4 (October 31, 2021): 73–81. http://dx.doi.org/10.36011/cpp.2021.3.e12.

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Obesity is an independent risk factor for the development and progression of cardiovascular disease (CVD). Various cardiovascular outcomes are related to the association between body weight change and CVD. Metabolically healthy obese individuals could have a better prognosis in terms of cardiovascular morbidity and mortality than metabolically unhealthy obese individuals. Smoking cessation causes significant weight gain and consequent deterioration of the metabolic profile despite not impairing the cardiovascular benefits. Intentional weight loss has a consistent cardiovascular protective effect, but unintentional weight loss due to progressive catabolism and loss of muscle mass could be associated with poor cardiovascular outcomes. Obese individuals who are successful in losing weight with subsequent regain (weight cycling) could have an unfavorable cardiometabolic profile and the risk of CVD. Further studies are needed to evaluate the impact of weight changes on CVD by identifying unknown pathophysiology and to decide appropriate management and interventions for various phenotypes of weight change.

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24

Thorsdottir, I. "Different weight gain in women of normal weight before pregnancy: postpartum weight and birth weight." Obstetrics & Gynecology 92, no. 3 (September 1998): 377–83. http://dx.doi.org/10.1016/s0029-7844(98)00187-2.

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25

Narayana, S. Surya. "Design and Optimatization, Weight Reduction of Rear Axle Banjo Housing for Light Weight Vechicle." Indian Journal of Applied Research 1, no. 10 (October 1, 2011): 88–90. http://dx.doi.org/10.15373/2249555x/jul2012/29.

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26

Zhang, Guang Yu, Qing Min Li, and En Shun Ge. "Variable Weight Fuzzy Comprehensive Evaluation Method for Health Condition of Warship Electromechnical Device." Applied Mechanics and Materials 226-228 (November 2012): 729–33. http://dx.doi.org/10.4028/www.scientific.net/amm.226-228.729.

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Increasing sophistication of naval shipboard machinery coupled with increasing competition for skilled manpower and tightening of defense budgets is forcing the Navy to consider alternative maintenance concepts. This paper proposes a health assessment process in condition-based maintenance architecture based on variable weight fuzzy comprehensive evaluation method. Through analyzing the variables affecting on warship electromechnical equipment condition, a layered assessment index system for warship electromechnical equipment health assessment is built. First, the AHP method is used to determine the constant weight of every index, and then the variable weight model is introduced based on balanced function, in which the constant weight is modified to get the variable weights. By comparing the fuzzy synthetic evaluation based on constant weights with that based on variable weighs, the results show that, the latter is more reasonable and objective, and is also more close to the actual condition of warship electromechnical equipment.

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27

Maloni, Judith A., Greg R. Alexander, Mark D. Schluchter, Dinesh M. Shah, and Seunghee Park. "Antepartum Bed Rest: Maternal Weight Change and Infant Birth Weight." Biological Research For Nursing 5, no. 3 (January 2004): 177–86. http://dx.doi.org/10.1177/1099800403260307.

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Despite lack of evidence for effectiveness, obstetricians in the United States prescribe antepartum bed rest for more than 700,000 women per year. However, in nonpregnant samples, bed rest treatment produces weight loss. This study assessed maternal weight change (gain) during antepartum hospitalization for bed rest treatment; compared appropriateness of infant birth weights for gestational age, race, and gender; and determined whether maternal weight change predicted infant birth weight. The convenience sample for this longitudinal study consisted of 141 women with high-risk pregnancies who were treated with hospital bed rest. Weekly rate of pregnancy weight change by body mass index was compared with Institute of Medicine recommendations for rate of pregnancy weight gain. Infant birth weight was compared with current US infant birth weights for matching gestational age, gender, and race. Weekly antepartum weight change was significantly lower than Institute of Medicine recommendations (P < 0.001). Infant birth weights were also significantly lower than the national mean when matched for each infant’s gestational age, race, and gender ( P < 0.001). Maternal weight change predicted infant birth weight ( P = 0.05). Bed rest treatment is ineffective for improving pregnancy weight gain. Lower infant birth weights across all gestational ages suggest that maternal weight loss during bed rest may be associated with an increased risk of fetal growth restriction. A randomized trial comparing women with high-risk pregnancies who are ambulatory with those on bed rest is needed to determine whether bed rest treatment, underlying maternal-fetal disease, or both influence inadequate maternal weight gain and poor intrauterine growth.

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28

Daniel, O., L. Kohli, and M. Bieri. "Weight gain and weight loss of the earthworm Lumbricus terrestris L. at different temperatures and body weights." Soil Biology and Biochemistry 28, no. 9 (September 1996): 1235–40. http://dx.doi.org/10.1016/0038-0717(96)00121-6.

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29

Dombrowski, Mitchell P. "Birth Weight–Length Ratios, Ponderal Indexes, Placental Weights, and Birth Weight–Placenta Ratios in a Large Population." Archives of Pediatrics & Adolescent Medicine 148, no. 5 (May 1, 1994): 508. http://dx.doi.org/10.1001/archpedi.1994.02170050066012.

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30

Nogin, D. Yu. "Weight Functions and Generalized Hamming Weights of Linear Codes." Problems of Information Transmission 41, no. 2 (April 2005): 91–104. http://dx.doi.org/10.1007/s11122-005-0014-6.

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31

Martin, Molly A., Ashleigh L. May, and Michelle L. Frisco. "Equal Weights but Different Weight Perceptions among US Adolescents." Journal of Health Psychology 15, no. 4 (May 2010): 493–504. http://dx.doi.org/10.1177/1359105309355334.

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32

Wideman, John Edgar. "Weight." Callaloo 22, no. 3 (1999): 558–67. http://dx.doi.org/10.1353/cal.1999.0133.

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33

Hewitt, Paul. "WEIGHT." Physics Teacher 51, no. 6 (September 2013): 330. http://dx.doi.org/10.1119/1.4818365.

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34

Davidson, Barbara, and Robert Pargetter. "Weight." Philosophical Studies 49, no. 2 (March 1986): 219–30. http://dx.doi.org/10.1007/bf00354336.

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35

Christmas, R. A. "Weight." Dialogue: A Journal of Mormon Thought 28, no. 1 (April 1, 1995): 76. http://dx.doi.org/10.2307/45228479.

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36

Horng, Huann-Cheng, Wen-Ling Lee, and Peng-Hui Wang. "Maternal weight gain and birth weight." Journal of the Chinese Medical Association 84, no. 8 (June 8, 2021): 741–42. http://dx.doi.org/10.1097/jcma.0000000000000563.

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37

Walker, Ryan N. "The Weight of Not Managing Weight." Family Medicine 54, no. 3 (March 1, 2022): 230–31. http://dx.doi.org/10.22454/fammed.2022.925831.

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38

Garn, Stanley M., Karen R. Rosenberg, and Victor M. Hawthorne. "Smoking, weight standards and “ideal” weight." Ecology of Food and Nutrition 17, no. 4 (November 1985): 353–55. http://dx.doi.org/10.1080/03670244.1985.9990908.

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39

Foster, Carl. "Repetitive Weight Loss and Weight Regain." Journal of Cardiopulmonary Rehabilitation 9, no. 7 (July 1989): 293–94. http://dx.doi.org/10.1097/00008483-198907000-00011.

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40

Levin, Nathan W., Fansan Zhu, and Marcia Keen. "Interdialytic Weight Gain and Dry Weight." Blood Purification 19, no. 2 (December 28, 2000): 217–21. http://dx.doi.org/10.1159/000046944.

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41

Bridenstine, James B. "Weight-to-Weight Trichloroacetic Peel Solutions." American Journal of Cosmetic Surgery 15, no. 2 (June 1998): 176–77. http://dx.doi.org/10.1177/074880689801500217.

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42

Baser, O., and C. Given. "PCN31 WEIGHT OR NOT TO WEIGHT?" Value in Health 7, no. 3 (May 2004): 255. http://dx.doi.org/10.1016/s1098-3015(10)62173-0.

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43

Major, Brenda, Dina Eliezer, and Heather Rieck. "The Psychological Weight of Weight Stigma." Social Psychological and Personality Science 3, no. 6 (January 19, 2012): 651–58. http://dx.doi.org/10.1177/1948550611434400.

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44

Huang, Zhiping, and Archana Reddy. "Weight change, ideal weight and hypertension." Current Opinion in Nephrology and Hypertension 8, no. 3 (May 1999): 343–46. http://dx.doi.org/10.1097/00041552-199905000-00011.

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45

Wannamethee, S. Goya, A. Gerald Shaper, and Mary Walker. "Weight Change, Weight Fluctuation, and Mortality." Archives of Internal Medicine 162, no. 22 (December 9, 2002): 2575. http://dx.doi.org/10.1001/archinte.162.22.2575.

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46

Daniels, Stephen R. "Pre-pregnancy weight and weight gain during gestation influence postnatal weight." Journal of Pediatrics 158, no. 2 (February 2011): A2. http://dx.doi.org/10.1016/j.jpeds.2010.12.025.

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47

Phelan, Suzanne, Rena R. Wing, Hollie A. Raynor, Julia Dibello, Kim Nedeau, and Wanfeng Peng. "Holiday weight management by successful weight losers and normal weight individuals." Journal of Consulting and Clinical Psychology 76, no. 3 (2008): 442–48. http://dx.doi.org/10.1037/0022-006x.76.3.442.

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48

Lillis, J., J. G. Thomas, K. Olson, and R. R. Wing. "Weight self-stigma and weight loss during behavioural weight loss intervention." Obesity Science & Practice 5, no. 1 (January 11, 2019): 21–27. http://dx.doi.org/10.1002/osp4.314.

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49

Omer, Ahmed, Tamer Tamer, and Mohamed Mohyeldin. "High-Molecular Weight of Biopolymer." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 10. Innovatcionnaia deiatel’nost’, no. 3 (October 20, 2014): 56–70. http://dx.doi.org/10.15688/jvolsu10.2014.3.7.

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50

Han, Lee D., Sung-Seok Ko, Zhongren Gu, and Myong K. Jeong. "Adaptive weigh-in-motion algorithms for truck weight enforcement." Transportation Research Part C: Emerging Technologies 24 (October 2012): 256–69. http://dx.doi.org/10.1016/j.trc.2012.01.010.

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