Heating and Cooling Programme. We thank Gregg Ander of SCE and Michael Wommack of PG&E for initiating the enhancements in D0E-2.1E. The desiccant cooling, engine-driven chiller, and gas-fired absorption chiller models in DOE-2.ID and the integrated desiccant cooling models in DOE-2.IE were developed in collaboration with Robert Henninger of ElectroCom GARD, Ltd., and Douglas Kosar of GRI. The gas heat pump model, PWT model, and ECONOMICS enhancements in DOE-2.IE were developed in collaboration with Robert Henninger of ElectroCom GARD, Ltd. and Neil Leslie of GRI.Jeff Hirsch and Steve Gates of Hirsch & Associates, Camarillo, CA, were responsible for development, implementation, and documentation of the following new features in DOE-2.IE: enhancements to the water loop heat pump system, water-cooled condenser option for packaged units, electric and fuel meters, PWT system, gas heat pumps, and upgraded utility rate structures in ECONOMICS. The new Window Library and the implementation of the WINDOW-4 heat transfer calculations in DOE-2.1E are the result of a collaboration with D.K. Arasteh, M.S. Reilly, and W.L. Carroll of the LBL Building Technologies Program. The electrochromic glazing entries in the Window Library were prepared by M.D. Rubin, D.L. Hopkins, and E.U. Finlayson of the LBL Building Technologies Program. Steven D. Gates was the principal consultant for the Plant Cogeneration and the Refrigerated Case Work algorithms in 2.1 C.
Doppler's velocity waveforms of uterine vessels coupled with transvaginal ultrasonography are not valuable enough to replace histopathological examination in the diagnosis of a neoplastic endometrial pathology. However, it may be helpful in cases in which invasive techniques are difficult to perform and in the differentiation of a certain group of patients at little risk of endometrial carcinoma.
Although cord hemoglobin and mean corpuscular volume were not affected by maternal anemia, increased cord serum erythropoietin levels related to low maternal hemoglobin levels suggest an induced fetal erythropoiesis in maternal anemia.
Abstract. Cutting tool wear in machining processes reduces the product surface quality, a ects the dimensional and geometrical tolerances, and causes tool breakage during the metal cutting. Therefore, online tool wear monitoring is needed to prevent reduction in machining quality. An Arti cial Neural Network (ANN) model was developed in this study to predict and simulate the tool ank wear. To achieve this aim, an experiment array was provided using full factorial method, and the tests were conducted on a CNC lathe machine tool. Vibration amplitude of the cutting tool and cutting forces were considered as criterion variables in monitoring the tool ank wear. For designing the model, the cutting parameters, cutting forces, and vibration amplitude were de ned as model inputs, and tool ank wear was selected as an output. The model was also introduced as a simulation block diagram to be used as a useful model in online and automated manufacturing systems. The estimated and measured results were then compared with each other. Based on the comparison results, maximum squared error values are under 6 10 14 mm, and R 2 is 1, meaning that the designed model can predict the results with high and reliable accuracy.
The use of postabortion family planning significantly decreased the postabortion pregnancy rate. The use of an IUD was the preferred immediate method of choice. Use of injectable monthly contraceptives was the method with the highest drop-out rate. The expulsion rate of postabortion IUDs was acceptable in our practice. The pregnancy rate in the control group was lower than the physiological fecundity would predict. This may suggest that, although couples plan to get pregnant, they do not concentrate on the ideal conditions for conception or they do, in fact, practice some form of family planning.
Background/Aim: Anemia is a disease that can be easily treated, but it is still widespread worldwide. Anemia can affect nearly 40% of women. Anemia has been extensively studied and related to a variety of pregnancy complications. The primary purpose of our study was to discover the relationship between preeclampsia and anemia in the first trimester, and the secondary goal was to analyze the outcomes of newborns born to these mothers.
Methods: This study was compiled as a retrospective cohort study. Age, gravida, parity, and thyroid stimulating hormone (TSH) levels were recorded in a patient’s first visit file. Hemoglobin counts in the first trimester were analyzed as hemogram values. Those with a hemoglobin value <11 g/dl during pregnancy were classified as anemic. The patients' file records were reviewed to determine mode of delivery, birth weight, and Appearance, Pulse, Grimace, Activity, and Respiration (APGAR) scores. To confirm a diagnosis of preeclampsia, the American Congress of Obstetricians and Gynecologists (ACOG) criteria were used.
Results: After the exclusion of 186 women due to comorbidities and multiple pregnancies, 364 women were evaluated. The number of anemic pregnant women in the first trimester was 87 (23.9%), and 277 non-anemic women were matched with the anemic group. No statistical difference between the groups in terms of demographic characteristics, such as age, gravida, body mass index (BMI), and TSH were found. No statistical difference between the groups in terms of delivery type, infant birth weight, and APGAR scores were found (P > 0.05). Preeclampsia frequency was statistically higher in pregnant women who were anemic in the first trimester (P = 0.032).
Conclusion: Preeclampsia was found to be more common in pregnant women who were anemic in the first trimester. Although it would seem that neonatal outcomes are unaffected, we believe that the unaffected outcomes are due to iron replacement. To avoid pregnancy complications, it is crucial for women not to be anemic prior to becoming pregnant.
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