Relevant bibliographies by topics / DMI / Journal articles

Journal articles on the topic 'DMI'

To see the other types of publications on this topic, follow the link: DMI.
Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'DMI.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Pizoni, Camila, Vinicius Izquierdo, Rosana Klaus, Ederson dos Santos, Laura Valadão Vieira, Antônio Amaral Barbosa, Kauani Cardoso, et al. "Use of Butaphosphan with Cyanocobalamin in High Producing Cows and Associations with Milk Yield and Dry Matter Intake." Research, Society and Development 11, no. 4 (March 24, 2022): e48311427045. http://dx.doi.org/10.33448/rsd-v11i4.27045.

Full text
Abstract:
This study aimed to verify the effect of butaphosphan combined with cyanocobalamin (B+C) on dry matter intake (DMI) and milk yield in high producing dairy cows. Eighteen multiparous Holstein cows managed in a compost barn system were enrolled on a calving date and remained under observation until 28 days in milk (DIM). The B+C group administered at 2500 mg of butaphosphan and 1.25 mg of cyanocobalamin (25 mL/cow/day, n = 9), or the control group (NaCl 0.9% administered at 25 mL/cow/day, n = 9,) receiving injections at calving, and at day 3 and 7 post-partum. The DMI, feed efficiency, and DMI/% body weight were evaluated until 21 DIM and the milk yield, rumination, activity, and lying time until 28 DIM. Various metabolites were evaluated at 0, 3, 7, 14, 21, and 28 DIM. DMI did not change with treatment. Milk yield was more significant in the B+C group than in the control group, with an increase of 3.66 kg/milk/d. The maintenance of DMI and the greater milk yield in the B+C group may suggest that the use of B+C can improve feed efficiency. No treatment effect was observed for concentrations of serum glucose, NEFA, BHB, and acetone, however, albumin was higher in B+C than in control. No effect was observed on milk composition. Our results suggest that B+C improves milk yield and feed efficiency by modulating the DMI.
APA, Harvard, Vancouver, ISO, and other styles
2

Annatelli, Mattia, Davide Dalla Torre, Manuele Musolino, and Fabio Aricò. "Dimethyl isosorbide via organocatalyst N-methyl pyrrolidine: scaling up, purification and concurrent reaction pathways." Catalysis Science & Technology 11, no. 10 (2021): 3411–21. http://dx.doi.org/10.1039/d1cy00465d.

Full text
Abstract:
High-yielding methylation of isosorbide via DMC chemistry promoted by N-methyl pyrrolidine is herein reported. This study addresses: DMI purification, scale-up tests, insights on the catalyst role and on the reaction pathways leading to DMI.
APA, Harvard, Vancouver, ISO, and other styles
3

Shem, M. N., E. R. Ørskov, and A. E. Kimambo. "Prediction of voluntary dry-matter intake, digestible dry-matter intake and growth rate of cattle from the degradation characteristics of tropical foods." Animal Science 60, no. 1 (February 1995): 65–74. http://dx.doi.org/10.1017/s1357729800008146.

Full text
Abstract:
AbstractAn experiment using twenty-five bulls aged between 1 and 1·5 years and weighing 117 to 209 kg was carried out to estimate voluntary dry-matter intake (DMI), digestible dry-matter intake (DDMI), dry-matter apparent digestibility (DMD) and growth rate when the bulls were given 18 foods available from smallholder dairy farms on the slopes of Mount Kilimanjaro, Tanzania. The animals were randomly allocated to five groups of five animals each. Foods were then randomly allocated to the five groups for four periods of 60 days each during which DMI was measured. A digestion trial was made at the completion of each measurement. Outflow rates of solids from the rumen were determined by giving the animals 200 g Cr-mordanted fibre of each food and grab faecal samples were obtained. Dry matter (DM) degradation characteristics of the foods were determined in sacco in the rumen of three Boran steers fed on guatemala grass and the water soluble fraction (A) was measured. DMI varied from 2·2 kg for banana pseudostem to 4·77 kg/day for urea-treated maize stover. DMD ranged from 549 for untreated maize stover to 767 g/kg DM for banana pseudostem and growth rate ranged from 72 for banana leaves to 275 glday for urea-treated maize stover. Potential degradability (defined by A + B) (where B is the insoluble fraction degradable with time) for the DM ranged from 617 g for banana leaves to 874 g/kg DM for banana pseudostem and the degradation rate (c) ranged from 0·0168 for banana leaves to 0·0440 per h for green maize stover. The separate use of degradation characteristics A, B and c in multiple regression to predict DMI, DDMI, and growth rates gave better results than when A + B or (A + B) + c were used. Multiple correlation coefficients between degradation characteristics and DMI, DDMI and group rate were r– 0·90, 0·93 and 0·93 respectively. The results indicate that DMI, DDMI and growth rates by cattle fed on crop residues and forages could be predicted well using the rumen degradation characteristics of the foods.
APA, Harvard, Vancouver, ISO, and other styles
4

Spasojevic, Pavle, Milorad Zrilic, Dragoslav Stamenkovic, and Sava Velickovic. "The effect of the accelerated aging on the mechanical properties of the PMMA denture base materials modified with itaconates." Chemical Industry 65, no. 6 (2011): 707–15. http://dx.doi.org/10.2298/hemind110727070s.

Full text
Abstract:
This study evaluated the effect of accelerated ageing on the tensile strength, elongation at break, hardness and Charpy impact strength in commercial PMMA denture base material modified with di-methyl itaconate (DMI) and di-n-butyl itaconate (DBI). The samples were prepared by modifying commercial formulation by addition of itaconates in the amounts of 2.5, 5, 7.5 and 10% by weight. After polymerization samples were characterized by FT-IR and DSC analysis while residual monomer content was determined by HPLC-UV. Accelerated ageing was performed at 70?C in water for periods of 7, 15 and 30 days. Tensile measurements were performed using Instron testing machine while the hardness of the polymerized samples was measured by Shore D method. The addition of itaconate significantly reduces the residual MMA. Even at the small amounts of added itaconates (2.5%) the residual MMA content was reduced by 50%. The increase of itaconate content in the system leads to the decrease of residual MMA. It has been found that the addition of di-n-alkyl itaconates decreases the tensile strength, hardness and Charpy impact strength and increases elongation at break. Samples modified with DMI had higher values of tensile strength, hardness and Charpy impact strength compared to the ones modified with DBI. This is explained by the fact that DBI has longer side chain compared to DMI. After accelerated ageing during a 30 days period the tensile strength decreased for all the investigated samples. The addition of DMI had no effect on the material ageing and the values for the tensile strength of all of the investigated samples decreased around 20%, while for the samples modified with DBI, the increase of the amount of DBI in the polymerized material leads to the higher decrease of the tensile strength after the complete accelerated ageing period od 30 days, aulthough after the first seven days of the accelerated ageing the values of hardness have increased for all of the investigated samples. Such behavior is explained as the result of the polymer chain relaxation. The values of Charpy impact strength decreased after accelerated ageing. The amount of added DMI have no affect on the decrease of Charpy impact strength after accelerated ageing, the decrease was similar as for pure PMMA. The decrease of Charpy impact strength increased as the amount of added DBI increases.
APA, Harvard, Vancouver, ISO, and other styles
5

Luo, Chao-Xi, and Guido Schnabel. "The Cytochrome P450 Lanosterol 14α-Demethylase Gene Is a Demethylation Inhibitor Fungicide Resistance Determinant in Monilinia fructicola Field Isolates from Georgia." Applied and Environmental Microbiology 74, no. 2 (November 16, 2007): 359–66. http://dx.doi.org/10.1128/aem.02159-07.

Full text
Abstract:
ABSTRACT Resistance in Monilinia fructicola to demethylation inhibitor (DMI) fungicides is beginning to emerge in North America, but its molecular basis is unknown. Two potential genetic determinants of DMI fungicide resistance including the 14α-demethylase gene (MfCYP51) and the ATP-binding cassette transporter gene MfABC1, were investigated in six resistant (DMI-R) and six sensitive (DMI-S) field isolates. No point mutations leading to an amino acid change were found in the MfCYP51 gene. The constitutive expression of the MfCYP51 gene in DMI-R isolates was significantly higher compared to DMI-S isolates. Gene expression was not induced in mycelium of DMI-R or DMI-S isolates treated with 0.3 μg of propiconazole/ml. A slightly higher average MfCYP51 copy number value was detected in DMI-R isolates (1.35) compared to DMI-S isolates (1.13); however, this difference could not be verified in Southern hybridization experiments or explain the up to 11-fold-increased MfCYP51 mRNA levels in DMI-R isolates. Analysis of the upstream nucleotide sequence of the MfCYP51 gene revealed a unique 65-bp repetitive element at base pair position −117 from the translational start site in DMI-R isolates but not in DMI-S isolates. This repetitive element contained a putative promoter and was named Mona. The link between Mona and the DMI resistance phenotype became even more apparent after studying the genetic diversity between the isolates. In contrast to DMI-S isolates, DMI-R isolates contained an MfCYP51 gene of identical nucleotide sequence associated with Mona. Still, DMI-R isolates were not genetically identical as revealed by Microsatellite-PCR analysis. Also, real-time PCR analysis of genomic DNA indicated that the relative copy number of Mona among DMI-S and DMI-R isolates varied, suggesting its potential for mobility. Interestingly, constitutive expression of the MfABC1 gene in DMI-R isolates was slightly lower than that of DMI-S isolates, but expression of the MfABC1 gene in DMI-R isolates was induced in mycelium after propiconazole treatment. Therefore, the MfABC1 gene may play a minor role in DMI fungicide resistance in M. fructicola. Our results strongly suggest that overexpression of the MfCYP51 gene is an important mechanism in conferring DMI fungicide resistance in M. fructicola field isolates from Georgia and that this overexpression is correlated with Mona located upstream of the MfCYP51 gene.
APA, Harvard, Vancouver, ISO, and other styles
6

Hursting, M. J., G. D. Clark, V. A. Raisys, S. J. Miller, and K. E. Opheim. "Measurement of Free Desipramine in Serum by Ultrafiltration with Immunoassay." Clinical Chemistry 38, no. 12 (December 1, 1992): 2468–71. http://dx.doi.org/10.1093/clinchem/38.12.2468.

Full text
Abstract:
Abstract We developed an ultrafiltration method for assaying free desipramine (DMI) in serum. An ultrafiltrate of DMI-containing serum was prepared by centrifugation through an Amicon Centrifree micropartition filter. Syva DMI solid-phase extraction (SPE) columns were used to extract the DMI from the serum and ultrafiltrate. The Syva monoclonal EMIT assay was used to quantify the DMI in the extract. In some experiments, the percent free DMI was quantified with radioactivity. Nonspecific losses of DMI in serum to the ultrafilter system were low (recoveries > 91%). Extraction of [3H]DMI from phosphate-buffered saline (to mimic serum ultrafiltrate) with the Syva SPE system was quantitative (recoveries of 98.4% +/- 4.6%). Free DMI concentrations, derived from serum containing 2.5-2500 micrograms/L DMI, were determined by ultrafiltration; results agreed well with values determined by equilibrium dialysis, the average percent of free DMI being 18.4% +/- 0.25% and 15.9% +/- 0.51%, respectively. To increase the sensitivity of the free DMI assay in the therapeutic range (total DMI 125-300 micrograms/L), we increased fourfold the ultrafiltrate volume applied to the SPE column. For free DMI at 11-130 micrograms/L, the within-run and between-run CVs for the ultrafiltration method were < 9% and < 15%, respectively. Binding of DMI to serum proteins decreased over the pH range 6.0-8.0, although temperatures between 20 and 28 degrees C did not affect binding. The ultrafiltration assay is fast, accurate, simple, and adaptable to standard laboratory instrumentation.
APA, Harvard, Vancouver, ISO, and other styles
7

Jonker, Arjan, Peter Green, Garry Waghorn, Tony van der Weerden, David Pacheco, and Cecile de Klein. "A meta-analysis comparing four measurement methods to determine the relationship between methane emissions and dry-matter intake in New Zealand dairy cattle." Animal Production Science 60, no. 1 (2020): 96. http://dx.doi.org/10.1071/an18573.

Full text
Abstract:
Enteric methane (CH4) emissions and dry-matter intake (DMI) can be accurately and precisely measured in respiration chambers (RC), whereas automated head chambers (GreenFeed; GF) and the SF6 tracer method can provide estimates of CH4 emissions from grazing cattle. In New Zealand, most dairy cattle graze pasture and, under these conditions, DMI also has to be estimated. The objective of the current study was to compare the relationship between CH4 production and DMI of New Zealand dairy cattle fed forages using the following four measurement methods: RC with measured DMI (RC); sulfur hexafluoride (SF6) with measured DMI (SF6-DMI); SF6 with DMI estimated from prediction equations or indigestible markers (SF6); GF with measured or estimated DMI (GF). Data were collected from published literature from New Zealand trials with growing and lactating dairy cattle fed forage-based diets and data were analysed using a mixed-effect model. The intercept of the linear regression between CH4 production and DMI was not significantly different from zero and was omitted from the model. However, residual variance (observed–predicted values) increased with an increasing DMI, which was addressed by log-transforming CH4 per unit of DMI and this model was used for final data analysis. The accuracy of the four methods for predicting log CH4 per unit of DMI was similar (P = 0.55), but the precision (indicated by residuals) differed (P < 0.001) among methods. The residual standard deviations for SF6, GF and SF6-DMI were 4.6, 3.4 and 2.1 times greater than the residuals for RC. Hence, all methods enabled accurate prediction of CH4 per unit of DMI, but methodology for determining both CH4 and DMI affected their precision (residuals).
APA, Harvard, Vancouver, ISO, and other styles
8

Luo, Chao-Xi, Kerik D. Cox, Achour Amiri, and Guido Schnabel. "Occurrence and Detection of the DMI Resistance-Associated Genetic Element ‘Mona’ in Monilinia fructicola." Plant Disease 92, no. 7 (July 2008): 1099–103. http://dx.doi.org/10.1094/pdis-92-7-1099.

Full text
Abstract:
Sterol demethylation inhibitor (DMI) fungicide resistance in isolates of Monilinia fructicola from Georgia has been linked to overexpression of the MfCYP51 gene and a corresponding 65-bp genetic element ‘Mona’ inserted in the upstream region of MfCYP51. In this study, a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was developed to detect the Mona element. Fourteen DMI fungicide-resistant (DMI-R) and six DMI fungicide-sensitive (DMI-S) isolates from Georgia, six DMI-R and 11 DMI-S isolates from South Carolina, seven DMI-R and nine DMI-S isolates from New York, and two DMI-R and three DMI-S isolates from Ohio were used in this study. The isolates from the southeastern United States and Ohio were collected from peach, whereas isolates from New York were collected from cherry. A 376-bp fragment containing the Mona element was consistently amplified with primer pair INS65-F and INS65-R from DMI-R isolates, and either a 311-bp or 1,815-bp fragment was amplified from DMI-S isolates. The primer pair did not amplify DNA fragments of similar sizes from isolates of five other common fruit rot pathogens of peach, including Alternaria alternata, Colletotrichum acutatum, Gilbertella persicaria, Penicillium expansum, and Rhizopus stolonifer. Gel electrophoresis of the PCR amplicon can distinguish between DMI-R and DMI-S isolates based on the 65-bp size difference of the amplicon; however, the restriction digestion assay can verify questionable results, especially in the absence of a positive control. Only the 376-bp fragment containing the Mona element was digestable with endonuclease BsrBI, resulting in two restriction fragments of 236 and 140 bp in size. In this study, a protocol for Mona detection from aerial fungal structures was developed that can yield results within a few hours of sampling. This study confirms that the Mona element is strongly linked to the DMI-resistance phenotype and reveals that overexpression of the MfCYP51 gene is a common DMI fungicide resistance mechanism in M. fructicola, not only in Georgia but throughout the eastern United States.
APA, Harvard, Vancouver, ISO, and other styles
9

Hamamoto, Hiroshi, Koji Hasegawa, Ryoji Nakaune, Young Jin Lee, Yoshiyuki Makizumi, Katsumi Akutsu, and Tadaaki Hibi. "Tandem Repeat of a Transcriptional Enhancer Upstream of the Sterol 14α-Demethylase Gene (CYP51) inPenicillium digitatum." Applied and Environmental Microbiology 66, no. 8 (August 1, 2000): 3421–26. http://dx.doi.org/10.1128/aem.66.8.3421-3426.2000.

Full text
Abstract:
ABSTRACT We investigated the mechanism of resistance to demethylation inhibitors (DMI) in Penicillium digitatum by isolating theCYP51 gene, which encodes the target enzyme (P45014DM) of DMI, from three DMI-resistant and three DMI-sensitive strains. The structural genes of all six strains were identical, but in the promoter region, a unique 126-bp sequence was tandemly repeated five times in the DMI-resistant strains and was present only once in the DMI-sensitive strains. Constitutive expression of CYP51 in the resistant strains was about 100-fold higher than that in the sensitive strains. We introduced CYP51, including the promoter region, from a DMI-resistant strain into a DMI-sensitive strain, which rendered the transformants DMI resistant and increased CYP51 expression. We also found that if the number of copies of the repeat was reduced to two, resistance andCYP51 expression also decreased. These results indicate that the 126-bp unit acts as a transcriptional enhancer and that a tandem repeat of the unit enhances CYP51 expression, resulting in DMI resistance. This is a new fungicide resistance mechanism for filamentous fungi.
APA, Harvard, Vancouver, ISO, and other styles
10

Rwei, Syang-Peng, Tun-Fun Way, Whe-Yi Chiang, and Jen-Chun Tseng. "Thermal analysis and melt spinnability of poly(acrylonitrile-co-methyl acrylate) and poly(acrylonitrile-co-dimethyl itaconate) copolymers." Textile Research Journal 88, no. 13 (April 11, 2017): 1479–90. http://dx.doi.org/10.1177/0040517517703597.

Full text
Abstract:
This work investigated the cyclization possibility and melt spinnability of carbon fiber precursors, poly(acrylonitrile-co-methyl acrylate) (AN/MA) and poly(acrylonitrile-co-dimethyl itaconate) (AN/DMI). The onset temperature of cyclization of the AN/DMI copolymer is lower than that of the AN/MA copolymer and also the polyacrylonitrile (PAN) homopolymer. The enthalpy ( ΔH) of the AN/DMI copolymer is about 3–4 times that of the PAN homopolymer and about 1.8 times that of the AN/MA copolymer, indicating that the degree of cyclization of the AN/DMI copolymer is relatively higher. The melt dwell time of the AN/DMI copolymer is increased to about 3–5 times that of the AN/MA copolymer, especially when synthesized with a feed molar ratio of AN/DMI = 85/15. The AN/DMI copolymer (AN/DMI = 85/15) has the longest melt dwell time, 24.8 min, at the lowest melting temperature, 190oC, among all the PAN-related copolymers synthesized herein. Furthermore, the AN/DMI copolymer (AN/DMI = 85/15) can be rapidly cyclized at the cyclization temperature of 260℃, which is 25℃ lower than that of the AN/MA copolymer (AN/MA = 85/15). In short, this work demonstrates that the carbon fiber precursor made by the AN/DMI copolymer (AN/DMI = 85/15) will be superior to that of the AN/MA copolymer (AN/MA = 85/15) with respect to the melt spinnability and cyclization at low temperature.
APA, Harvard, Vancouver, ISO, and other styles
11

Parish, Jane A., Cobie Rutherford, Stephen L. Meyers, and Mark W. Shankle. "162 Assessment of daily intake by beef heifers of sweet potato storage roots under competitive limit-feeding conditions." Journal of Animal Science 97, Supplement_1 (July 2019): 57. http://dx.doi.org/10.1093/jas/skz053.129.

Full text
Abstract:
Abstract Excess consumption of sweet potato storage roots (SWP) poses an acidosis risk to cattle that may be mitigated by limit-feeding strategies. Yet limit-feeding is often administered to achieve mean desired daily DMI in groups of cattle with little regard for DMI variation among individuals. The study objective was to assess variation in daily DMI of SWP by beef heifers in limit-fed, competitive feeding groups. Twenty-four 9- to 10-mo-old Bos taurus crossbred heifers were stratified by initial BW (261.9 ± 8.8 kg) to 4 paddocks (6 heifers/ paddock) and offered SWP (24.9% DM on an as-fed basis; 7.7% CP, 5.9% ADF and 80% TDN on a DM basis) supplementation daily at a rate of 3.4 kg DM/ paddock with ad libitum access to mixed-grass pasture. After a 7-d acclimation period in which all heifers were trained to use a GrowSafe system, daily SWP DMI was monitored for 39 days. Standard deviation estimates were calculated from DMI data and used to classify DMI into the following levels: low (2.0 kg, >0.5 SD). Half of the heifers (mean SWP DMI = 0.0 ± 0.02 kg) never consumed SWP at the high DMI level, but 42% of the heifers (mean SWP DMI = 1.1 ± 0.02 kg) consumed SWP at the high DMI level for at least 18 days over the study duration. No heifers consumed at the moderate DMI level more than 16 days during the trial. This suggests that DMI of individual cattle offered SWP in limit-fed groups often either exceeds by approximately 2-fold per animal mean values of SWP offered per group or is at or near zero. Additional research is needed to elucidate optimal group feeding strategies to achieve individual DMI targets among cattle offered SWP.
APA, Harvard, Vancouver, ISO, and other styles
12

Wilson, Matthew E., Kevin Shaffer, Shane Plum, Kevin Garossino, Nicky Lansink, Jason Hubbart, Joseph Hatton, and Jaewoo Kim. "PSXIV-9 Predicting dry matter intake in beef cattle with water intake and other variables." Journal of Animal Science 99, Supplement_3 (October 8, 2021): 478. http://dx.doi.org/10.1093/jas/skab235.842.

Full text
Abstract:
Abstract Technology that facilitates estimation of individual animal intake rates in group-housed settings will result in improvements in animal production and management efficiency. Estimating intake in pasture settings may benefit from models that use other variables as proxies. Relationships among dry matter intake (DMI), animal performance variables, and environmental variables to model DMI were investigated. 202 animals were studied in a drylot setting (153 bulls for 85 days and 55 steers for 55 days) using VYTELLE SENSETM In-Pen-Weighing and Feed-Intake nodes. A machine learning model was calibrated using: DMI, sex, age, full body weight, ADG, water intake, water visit frequency and duration. DMI was positively related to full body weight (r = 0.39, P < 0.001), water intake (r=0.23, P < 0.001), and ADG (r=0.18, P < 0.001). In addition, DMI had significant but weak correlations with water visit frequency (r=0.031, P < 0.001). DMI exhibited weak negative relationships with maximum air temperature (r=-0.094, P < 0.001) maximum relative humidity (r=-0.056, P < 0.001), net radiation (r=-0.040, P < 0.001), and precipitation (r=-0.022, P < 0.001). Weak positive relationships were observed between DMI and maximum wind speed (r=0.031, P < 0.001) and direction (r=-0.022, P < 0.001). The model was validated with resultant average RMSE of 1.06 kg for daily predicted DMI compared to measured daily DMI. In addition, when daily predicted DMI was averaged for each animal, the accuracy of model results improved with RMSE of 0.11 kg. Study results demonstrate that inclusion of water intake and animal performance variables improves predictive accuracy of DMI. Validating and refining the model used to predict DMI in drylots will facilitate future extrapolation to larger group field settings. Vytelle and its logo are trademarks of Vytelle, LLC.
APA, Harvard, Vancouver, ISO, and other styles
13

Bach, Alex, Martí Dinarés, Maria Devant, and Xavier Carré. "Associations between lameness and production, feeding and milking attendance of Holstein cows milked with an automatic milking system." Journal of Dairy Research 74, no. 1 (September 15, 2006): 40–46. http://dx.doi.org/10.1017/s0022029906002184.

Full text
Abstract:
A longitudinal study involving 73 primiparous (PP) and 47 multiparous (MP) Holstein cows was conducted over an 8-month period to assess the associations between locomotion score (LCS) and milk production, dry matter intake (DMI), feeding behaviour, and number of visits to an automatic milking system (AMS). Twice weekly, all cows were locomotion scored (scale 1–5) by the same observer. Individual eating behaviour and individual feed consumption at each cow visit to the feed troughs, individual milk production, the time of milking, and the number of milkings for each cow were recorded for the day of locomotion scoring and the day before and after. Dependent variables, such as milk yield, DMI, etc. were modelled using a mixed-effects model with parity, LCS, days in milk (DIM), the exponential of −0·05 DIM, and the interaction between parity and LCS, as fixed effects and random intercepts and random slopes for the linear and the exponential of −0·05DIM effects within cow. LCS did not affect time of attendance at feed troughs, but affected the location that cows occupied in the feed troughs. The time devoted to eating and DMI decreased with increasing LCS. Milk production decreased with LCS>3. The number of daily visits to the AMS also decreased with increasing LCS. The cows with high LCS were fetched more often than the cows with low LCS. Overall, PP cows were more sensitive to the effects of increasing LCS than were MP cows. The decrease in milk production observed with increasing LCS seemed to be affected similarly by the decrease in DMI and by the decrease in number of daily visits to the AMS. A further economic loss generated by lame cows with AMS will be associated with the additional labour needed to fetch them.
APA, Harvard, Vancouver, ISO, and other styles
14

Rigolon, Luiz Paulo, Ivanor Nunes do Prado, Fábio Luiz Bim Cavalieri, Willian Gonçalves do Nascimento, Luiz Carlos Copovila, Fabíola dos Santos Ramos, and Fernanda Barros Moreira. "Effect of the dry matter intake level on the sanguine profile of glucose, insulin, urea, estrogen and progesterone and concentration of IGF-I in the follicular liquid of crossbred heifers." Brazilian Archives of Biology and Technology 52, no. 1 (February 2009): 61–68. http://dx.doi.org/10.1590/s1516-89132009000100008.

Full text
Abstract:
The aim of this work was to study effect of the dry matter intake level on the concentrations of glucose, insulin, urea, estrogen and progesterone in the blood and the level of IGF-I in the follicular liquid of heifers. Twenty seven crossbred heifers were used, in three treatments: 1.2, 1.6 and 2.6% of the live weight of dry matter intake (DMI) daily. The sanguine concentrations of glucose and estrogen were higher in the animals with 1.6% of DMI and the insulin levels were higher in the animals with 2.6% of DMI. There was an increase in the sanguine levels of urea with the increase of the DMI. There was no effect of the DMI on the progesterone levels in the sanguine plasma collected from the jugular. The progesterone levels in caudal vena were higher in the animals with 2.6% of DMI. There was no effect of the DMI on the follicular levels of IGF-I.
APA, Harvard, Vancouver, ISO, and other styles
15

Shi, Yun, and Huaiqing Yin. "Dimethyl itaconate inhibits LPS-induced inflammatory release and apoptosis in alveolar type II epithelial and bronchial epithelial cells by activating pulmonary surfactant proteins A and D." Allergologia et Immunopathologia 50, no. 6 (November 1, 2022): 176–86. http://dx.doi.org/10.15586/aei.v50i6.586.

Full text
Abstract:
Background: Injury to the lung is a common, clinically serious inflammatory disease. However, its pathogenesis remains unclear, and the existing treatments, including cytokine therapy, stem cell therapy, and hormone therapy, are not completely effective in treating this disease. Dimethyl itaconate (DMI) is a surfactant with important anti-inflammatory effects. Objective: The present study used alveolar type II (AT II) and bronchial epithelial cells as models to determine the role of DMI in lung injury. Material and Methods: First, the effects of DMI were established on the survival, inflammatory release, and apoptosis in lipopolysaccharide (LPS)-induced AT II and bronchial epithelial cells. The association between DMI and Sirtuin1 (SIRT1) was assessed using molecular docking. Next, by constructing interference plasmids to inhibit surfactant protein (SP)-A and SP-D expressions, the effect of DMI was observed on inflammatory release and apoptosis. Results: The results revealed that DMI increased the survival rate and expression levels of SP-A, SP-D, and SIRT1, and inhibited inflammatory factors as well as apoptosis in LPS-induced cells. Furthermore, DMI could bind to SIRT1 to regulate SP-A and SP-D expressions. After SP-A and SP-D expressions were inhibited, the inhibitory effect of DMI was reversed on inflamma-tory release and apoptosis. Conclusion: The findings of the present study revealed that DMI inhibited LPS-induced inflammatory release and apoptosis in cells by targeting SIRT1 and then activating SP-A and SP-D. This novel insight into the pharmacological mechanism of DMI lays the foundation for its later use for alleviating lung injury.
APA, Harvard, Vancouver, ISO, and other styles
16

Liang, Shulin, Chaoqun Wu, Wenchao Peng, Jian-Xin Liu, and Hui-Zeng Sun. "Predicting Daily Dry Matter Intake Using Feed Intake of First Two Hours after Feeding in Mid and Late Lactation Dairy Cows with Fed Ration Three Times Per Day." Animals 11, no. 1 (January 6, 2021): 104. http://dx.doi.org/10.3390/ani11010104.

Full text
Abstract:
The objective of this study was to evaluate the feasibility of using the dry matter intake of first 2 h after feeding (DMI-2h), body weight (BW), and milk yield to estimate daily DMI in mid and late lactating dairy cows with fed ration three times per day. Our dataset included 2840 individual observations from 76 cows enrolled in two studies, of which 2259 observations served as development dataset (DDS) from 54 cows and 581 observations acted as the validation dataset (VDS) from 22 cows. The descriptive statistics of these variables were 26.0 ± 2.77 kg/day (mean ± standard deviation) of DMI, 14.9 ± 3.68 kg/day of DMI-2h, 35.0 ± 5.48 kg/day of milk yield, and 636 ± 82.6 kg/day of BW in DDS and 23.2 ± 4.72 kg/day of DMI, 12.6 ± 4.08 kg/day of DMI-2h, 30.4 ± 5.85 kg/day of milk yield, and 597 ± 63.7 kg/day of BW in VDS, respectively. A multiple regression analysis was conducted using the REG procedure of SAS to develop the forecasting models for DMI. The proposed prediction equation was: DMI (kg/day) = 8.499 + 0.2725 × DMI-2h (kg/day) + 0.2132 × Milk yield (kg/day) + 0.0095 × BW (kg/day) (R2 = 0.46, mean bias = 0 kg/day, RMSPE = 1.26 kg/day). Moreover, when compared with the prediction equation for DMI in Nutrient Requirements of Dairy Cattle (2001) using the independent dataset (VDS), our proposed model shows higher R2 (0.22 vs. 0.07) and smaller mean bias (−0.10 vs. 1.52 kg/day) and RMSPE (1.77 vs. 2.34 kg/day). Overall, we constructed a feasible forecasting model with better precision and accuracy in predicting daily DMI of dairy cows in mid and late lactation when fed ration three times per day.
APA, Harvard, Vancouver, ISO, and other styles
17

Ferri, C. M., V. V. Jouve, N. P. Stritzler, and H. J. Petruzzi. "Estimation of intake and apparent digestibility of kleingrass from in situ parameters measured in sheep." Animal Science 67, no. 3 (December 1998): 535–40. http://dx.doi.org/10.1017/s1357729800032963.

Full text
Abstract:
AbstractThe voluntary intake and apparent digestibility of kleingrass (Panicum coloratum cv. Verde) were measured in seven periods, comprising one full year. The forage was offered twice a day ad libitum to seven rams, fitted with faeces collection bags; each experimental period was composed of 8 days for adaptation and 8 days for collection of data. The dry-matter (DM) intake (DMI) varied from 36·1 to 64·9 glkg M075, the digestible dry-matter intake (DDMI), from 17·4 to 41·9 glkg M0·75 and the in vivo dry matter apparent digestibility (DMD), from 0·471 to 0·667.Daily samples of offered forage were taken and pooled subsamples from each of the seven periods were incubated in nylon bags in the rumen of three Hereford steers. The data were fitted to the exponential equation: p = a + b (1-e-ct) to estimate p (the proportionate loss of DM at time t of incubation); effective degradability (ED) and lag time (L) were also estimated.The parameters obtained in situ were related to the in vivo results by simple and multiple regression. The correlation coefficients of the rate of degradation (c) and ED with DMI, DDMI and DMD were, respectively, 096 and 0·97; 0·97 and 0·96; 0·86 and 0·88. By including a, b, c and L into a multiple regression analysis, the coefficients of determination (R2) were: DMI: 0·99; DDMI: 0·99 and DMD: 0·91. Within the conditions of this study, the parameters obtained in situ were reasonable estimators of voluntary intake and apparent digestibility.
APA, Harvard, Vancouver, ISO, and other styles
18

Sang, Hyunkyu, James T. Popko, and Geunhwa Jung. "Evaluation of a Sclerotinia homoeocarpa Population with Multiple Fungicide Resistance Phenotypes Under Differing Selection Pressures." Plant Disease 103, no. 4 (April 2019): 685–90. http://dx.doi.org/10.1094/pdis-06-18-1080-re.

Full text
Abstract:
Dollar spot, caused by Sclerotinia homoeocarpa, is one of the most significant diseases of cool-season turfgrass on golf courses. Resistance to the benzimidazole, dicarboximide, and succinate dehydrogenase inhibitor (SDHI) classes and reduced sensitivity to the sterol-demethylation inhibitor (DMI) in S. homoeocarpa populations have been widely reported in the United States. Moreover, the occurrence of S. homoeocarpa populations with multiple fungicide resistance (MFR) is a growing problem on golf courses. The present study was undertaken to evaluate the efficacy of DMI, dicarboximide, and SDHI against a S. homoeocarpa population with MFR on a Connecticut golf course fairway from 2014 to 2016. Also, because the S. homoeocarpa population consisted of four different phenotypes with differing resistance profiles to benzimidazole, dicarboximide, and DMI, in vitro sensitivity assays were used to understand the dynamics of the MFR population in the presence and absence of fungicide selection pressures. Results indicated that boscalid fungicide (SDHI) was able to provide an acceptable control of the MFR dollar spot population. Propiconazole or iprodione application selected isolates with both DMI and dicarboximide resistance (DMI-R/Dicar-R). In the absence of fungicide selection pressures, the percent frequency of DMI-R/Dicar-R or DMI and benzimidazole resistance (DMI-R/Ben-R) isolates declined in the population. Out of the four phenotypes, the percent frequency of isolates with DMI, dicarboximide, and benzimidazole resistance (DMI-R/Dicar-R/Ben-R) was the lowest in the population regardless of fungicide selection pressures. Our first report of MFR population dynamics will help develop effective strategies for managing MFR and potentially delay the emergence of future resistant populations in S. homoeocarpa.
APA, Harvard, Vancouver, ISO, and other styles
19

Nakaune, Ryoji, Kiichi Adachi, Osamu Nawata, Masamitsu Tomiyama, Katsumi Akutsu, and Tadaaki Hibi. "A Novel ATP-Binding Cassette Transporter Involved in Multidrug Resistance in the Phytopathogenic FungusPenicillium digitatum." Applied and Environmental Microbiology 64, no. 10 (October 1, 1998): 3983–88. http://dx.doi.org/10.1128/aem.64.10.3983-3988.1998.

Full text
Abstract:
ABSTRACT Demethylation inhibitor (DMI)-resistant strains of the plant pathogenic fungus Penicillium digitatum were shown to be simultaneously resistant to cycloheximide, 4-nitroquinoline-N-oxide (4NQO), and acriflavine. APMR1 (Penicillium multidrug resistance) gene encoding an ATP-binding cassette (ABC) transporter (P-glycoprotein) was cloned from a genomic DNA library of a DMI-resistant strain (LC2) ofPenicillium digitatum by heterologous hybridization with a DNA fragment containing an ABC-encoding region from Botrytis cinerea. Sequence analysis revealed significant amino acid homology to the primary structures of PMR1 (protein encoded by thePMR1 gene) and ABC transporters of Saccharomyces cerevisiae (PDR5 and SNQ2), Schizosaccharomyces pombe(HBA2), Candida albicans (CDR1), and Aspergillus nidulans (AtrA and AtrB). Disruption of the PMR1 gene of P. digitatum DMI-resistant strain LC2 demonstrated that PMR1 was an important determinant of resistance to DMIs. The effective concentrations inhibiting radial growth by 50% (EC50s) and the MICs of fenarimol and bitertanol for the PMR1disruptants (Δpmr1 mutants) were equivalent to those for DMI-sensitive strains. Northern blot analysis indicated that severalfold more PMR1 transcript accumulated in the DMI-resistant strains compared with those in DMI-sensitive strains in the absence of fungicide. In both DMI-resistant and -sensitive strains, transcription of PMR1 was strongly enhanced within 10 min after treatment with the DMI fungicide triflumizole. These results suggested that the toxicant efflux system comprised of PMR1 participates directly in the DMI resistance of the fungus.
APA, Harvard, Vancouver, ISO, and other styles
20

Karlsson, Johanna, Rebecca Danielsson, Maria Åkerlind, and Kjell Holtenius. "Full-lactation performance of multiparous dairy cows with differing residual feed intake." PLOS ONE 17, no. 8 (August 26, 2022): e0273420. http://dx.doi.org/10.1371/journal.pone.0273420.

Full text
Abstract:
Residual feed intake (RFI) is an efficiency trait underpinning profitability and environmental sustainability in dairy production. This study compared performance during a complete lactation of 36 multiparous dairy cows divided into three equal-sized groups with high (HRFI), intermediate (IRFI) or low RFI (LRFI). Residual feed intake was determined by two different equations. Residual feed intake according to the NorFor system was calculated as (RFINorFor) = (NEintake)–(NEmaintenance + NEgestation + NEmilk—NEmobilisation + NEdeposition). Residual feed intake according to the USA National Research Council (NRC) (RFINRC) was calculated as: RFI = DMI − predicted DMI where predicteds DMI = [(0.372× ECM)+(0.0968×BW0.75)]×(1−e−0.192×(DIM/7+3.67)). Cows in the HRFINorFor group showed higher daily CH4 production, CH4/ECM and CH4 yield (g/kg DMI) than IRFINorFor and LRFINorFor cows. Cows characterized by high efficiency (LRFINorFor) according to the NorFor system had lower body weight. Dry matter intake and apparent dry matter digestibility were not affected by efficiency group but milk yield was lower in the low efficiency, HRFINorFor, group. Cows characterized by high efficiency according to the NRC system (LRFINRC) had lower dry matter intake while yield of CH4 was higher. Daily CH4 production and CH4 g/kg ECM did not differ between RFINRC groups. Dairy cows characterized by high efficiency (both LRFINorFor and LRFINRC cows) over a complete lactation mobilized more of their body reserves in early lactation as well as during the complete lactation. The results also indicated great phenotypic variation in RFI between different stages the lactation.
APA, Harvard, Vancouver, ISO, and other styles
21

Wiseman, Aksel, Andrea K. Watson, Rick Stock, and Terry J. Klopfenstein. "77 Evaluation of Models Used to Predict Dry Matter Intake in Forage-Based Diets." Journal of Animal Science 99, Supplement_1 (May 1, 2021): 117. http://dx.doi.org/10.1093/jas/skab054.194.

Full text
Abstract:
Abstract Data from experiments conducted at the University of Nebraska-Lincoln were pooled to compare predicted and observed dry matter intake (DMI) of growing cattle consuming foraged-based diets (corn silage, grass, alfalfa, or sorghum-hay) to determine the accuracy of current modeling systems. Experiments (n = 22) were a minimum of 84 days and included individually fed calves using the Calan gate system with 8 to 12 calves per treatment mean or pen-fed calves with 8 to 12 head per pen. Average body weight (BW) of calves ranged from 235 to 397 kg with average daily gain (ADG) between 0.16 and 1.65 kg. Cattle were fed ad libitum and mid-point BW and ADG were entered into the Beef Cattle Nutrient Requirements Model (2016) to determine predicted DMI. Simple regression was used to compare predicted and observed DMI to determine the accuracy of the prediction model. Ninety-three treatment means were evaluated and were separated into three categories: hay-based diets (n = 24), hay-based diets with distillers grains (n = 31), and corn silage-based diets (n =38). The model for observed versus predicted DMI was significant (P < 0.05; R2 = 0.09) when comparing all means but had a poor R2. The model was the best at predicting DMI for forage-based diets (P < 0.08; R2 = 0.22). Observed and predicted DMI were regressed along TDN values, calculated using book values and digestion studies. As TDN increased, observed DMI increased linearly (P < 0.01) and predicted DMI had a quadratic response (P < 0.01), increasing up to 63% and then decreasing with increasing TDN. The model over predicted DMI intake for TDN < 63% and under predicted DMI in forage-based diets greater than 63% TDN. Further development of the current modeling system through addition of intake data from forage fed growing cattle is needed
APA, Harvard, Vancouver, ISO, and other styles
22

Williams, Maeve, Craig P. Murphy, Roy D. Sleator, Siobhan C. Ring, and Donagh P. Berry. "26 Are Subjectively Scored Linear Type Traits Suitable Predictors of Genetic Merit for Feed Intake in Grazing Holstein-friesian Dairy Cows?" Journal of Animal Science 99, Supplement_3 (October 8, 2021): 17. http://dx.doi.org/10.1093/jas/skab235.027.

Full text
Abstract:
Abstract Measuring dry matter intake (DMI) in grazing dairy cows using currently available techniques is invasive, time consuming, and expensive. An alternative to directly measuring DMI for use in genetic evaluations is to identify a set of readily available data sources that can be used in a multi-trait genetic evaluation with DMI. The objectives of the present study were to estimate the genetic correlations between readily available body-related linear type trait information and DMI in grazing, lactating Irish dairy cows and to estimate the partial genetic correlations between linear traits and DMI, after adjusting for differences in genetic merit for body weight. After edits, a total of 8,055 test-day records of DMI, body weight, and milk yield from 1,331 multiparous dairy cows were available, as were chest width, body depth, and stature scores for 47,141 first lactation dairy cows. In addition to considering the routinely recorded linear type traits individually, novel traits were defined as the product of two or three linear type traits as an approximation of rumen volume. The genetic variance of DMI, body weight, milk yield, and linear type traits were estimated using univariate animal linear mixed models. Sire linear mixed models were used to calculate genetic and phenotypic covariances. All linear type traits were moderately heritable (0.27 to 0.49) and genetically correlated (0.29 to 0.63) with DMI. The genetic correlations between the individual linear type traits and DMI, when the latter was adjusted for differences in the genetic merit for body weight, varied from 0.00 to 0.39. If the (partial) genetic correlations were validated with genetic evaluations, routinely available linear type trait records and live weight data could facilitate the selection of DMI in dairy cows, removing the need to capture large amounts of cost prohibitive feed intake phenotypes.
APA, Harvard, Vancouver, ISO, and other styles
23

Monkman, Helen, Andre Kushniruk, Elizabeth Borycki, Debra Sheets, Jeff Barnett, and Christian Nøhr. "The Medium Is the Message: How Do Canadian University Students Want Digital Medication Information?" Life 10, no. 12 (December 10, 2020): 339. http://dx.doi.org/10.3390/life10120339.

Full text
Abstract:
(1) Background: To facilitate optimal prescription medication benefits and safety, it is important that people are informed about their prescription medications. As we shift towards using the digital medium to communicate medication information, it is important to address the needs and preferences of different user groups so that they are more likely to read and use this information. In this study, we examined what digital medication information (DMI) format Canadian University students want and why. (2) Methods: This study was a qualitative investigation of young (aged 18–35) Canadian University students’ (N = 36) preferences and rationale supporting these preferences with respect to three potential formats for providing DMI: email, a mobile application (app), and online. Reported advantages and disadvantages of each of the three DMI formats were identified and categorized into unique themes. (3) Results: Findings from this study suggest that Canadian University Students most want to receive DMI by email, followed by a mobile app, and finally they were least receptive to online DMI. Participants provided diverse themes of reasons supporting their preferences. (4) Conclusions: Different user groups may have different needs with respect to receiving DMI. The themes from this study suggest that using a formative evaluation framework for assessing different DMI formats may be useful in future research. Email may be the best way to share DMI with younger, generally healthy, Canadian University students who are on few medications. Further research is required to explore whether other mediums for DMI are more appropriate for users with other characteristics (e.g., older and less educated) and contexts (e.g., polypharmacy and complex conditions). Given the flexibility of digital information, DMI could plausibly be provided in multiple formats and could allow users to choose the option they like best and would be most likely to use.
APA, Harvard, Vancouver, ISO, and other styles
24

Oliveira, Alessandra Pinto de, Camila Soares Cunha, Elzânia Sales Pereira, Stefano Biffani, Ariosvaldo Nunes de Medeiros, Aderbal Marcos de Azevedo Silva, and Marcos Inácio Marcondes. "‘Meta-analysis of dry matter intake and neutral detergent fiber intake of hair sheep raised in tropical areas’." PLOS ONE 15, no. 12 (December 22, 2020): e0244201. http://dx.doi.org/10.1371/journal.pone.0244201.

Full text
Abstract:
Inadequate estimates of fiber and dry matter intake of sheep raised in tropical conditions may explain part of the inefficiency of those production systems. Therefore, we aimed to estimate dry matter intake (DMI) and neutral detergent fiber intake (NDFI) of hair sheep raised under tropical conditions. A meta-analysis of 61 independent performance experiments, comprising a total of 413 experimental units (treatment means or animals), was performed. Trials were conducted in tropical conditions, using hair sheep in growing and finishing phases and endowed with the following information: neutral detergent fiber (NDF) in diet, initial and final body weight (BW), average daily gain (ADG), DMI and NDFI of treatment means (51 studies) or individual data (10 studies). Data on organic matter and NDF digestibilities were collected to estimate D-value (Dv) and B-value (Bv) (20 and 33 studies, respectively). The equations obtained were: DMI(g/day)=50.5773±71.0504+1.4423±0.1704×ADG+28.4406±2.9697×BW;DMI(g/kgBW)=42.1088±4.7298+0.05516±0.009427×ADG−0.4402±0.1865×BW;NDFI(g/day)=−52.2187±47.7718+1.3773±0.2292×NDF(g/kgDM)−0.0007±0.0002×NDF(g/kgDM)2. DMI (g/kg BW) as a function of Dv (g/kg DM) revealed a quadratic relationship, whose point of maximum DMI (38.69 g/kg BW) was obtained at 634.1 g/kg DM Dv. On the other hand, DMI decreased linearly as Bv (g/kg DM) increased. In conclusion, equations to predict DMI from BW and ADG as well to predict NDFI from dietary NDF were fitted with great accuracy and are recommended for hair sheep raised in tropical regions. DMI values were, in general, greater than those reported by the NRC, AFRC and INRA systems, which may be a reflection of the sheep breeds used in this study. Using Dv and Bv concepts was satisfactory to describe an integrated mechanism between metabolic and bulking regulation of DMI in sheep.
APA, Harvard, Vancouver, ISO, and other styles
25

Najib, Mohamad Khoirun, and Sri Nurdiati. "Koreksi Bias Statistik Pada Data Prediksi Suhu Permukaan Air Laut Di Wilayah Indian Ocean Dipole Barat Dan Timur." Jambura Geoscience Review 3, no. 1 (January 19, 2021): 9–17. http://dx.doi.org/10.34312/jgeosrev.v3i1.8259.

Full text
Abstract:
The IOD can be measured using the Dipole Mode Index (DMI) which is calculated based on the sea surface temperature in the Indian Ocean. Therefore, DMI can be predicted using sea surface temperature forecasting data, such as data provided by the European Center for Medium-Range Weather Forecasts (ECMWF). However, the data still has a bias as compared to the actual data, so to get a more accurate prediction, corrected data is needed. Therefore, the aim of this study is to predict DMI based on sea surface temperature forecasting data that has been corrected for bias using the quantile mapping method, a method that connects the distribution of forecasting and actual data. The results showed that the DMI prediction using corrected data was more accurate than the DMI prediction using ECMWF data. DMI predictions using corrected data have high accuracy to predict IOD events in October-April.
APA, Harvard, Vancouver, ISO, and other styles
26

Wang, Yi-Yue, Jun Hyeok Kwak, Kyung-Tae Lee, Tsegaye Deyou, Young Pyo Jang, and Jung-Hye Choi. "Isoflavones Isolated from the Seeds of Millettia ferruginea Induced Apoptotic Cell Death in Human Ovarian Cancer Cells." Molecules 25, no. 1 (January 3, 2020): 207. http://dx.doi.org/10.3390/molecules25010207.

Full text
Abstract:
The seeds of Millettia ferruginea are used in fishing, pesticides, and folk medicine in Ethiopia. Here, the anti-cancer effects of isoflavones isolated from M. ferruginea were evaluated in human ovarian cancer cells. We found that isoflavone ferrugone and 6,7-dimethoxy-3’,4’-methylenedioxy-8-(3,3-dimethylallyl)isoflavone (DMI) had potent cytotoxic effects on human ovarian cancer cell A2780 and SKOV3. Ferrugone and DMI treatment increased the sub-G1 cell population in a dose-dependent manner in A2780 cells. The cytotoxic activity of ferrugone and DMI was associated with the induction of apoptosis, as shown by an increase in annexin V-positive cells. Z-VAD-fmk, a broad-spectrum caspase inhibitor, and z-DEVD-fmk, a caspase-3 inhibitor, significantly reversed both the ferrugone and DMI-induced apoptosis, suggesting that cell death stimulated by the isoflavones is mediated by caspase-3-dependent apoptosis. Additionally, ferrugone-induced apoptosis was found to be caspase-8-dependent, while DMI-induced apoptosis was caspase-9-dependent. Notably, DMI, but not ferrugone, increased the intracellular levels of reactive oxygen species (ROS), and antioxidant N-acetyl-L-cysteine (NAC) attenuated the pro-apoptotic activity of DMI. These data suggest that DMI induced apoptotic cell death through the intrinsic pathway via ROS production, while ferrugone stimulated the extrinsic pathway in human ovarian cancer cells.
APA, Harvard, Vancouver, ISO, and other styles
27

Pentel, PR, W. Wananukul, W. Scarlett, and DE Keylerl. "Nitric oxide contributes to desipramine- induced hypotension in rats." Human & Experimental Toxicology 15, no. 4 (April 1996): 320–28. http://dx.doi.org/10.1177/096032719601500408.

Full text
Abstract:
1 Anesthetized rats received the TCA desipramine (DMI) 60 mg kg-1 i.p. Administration of the nitric oxide synthase (NOS) inhibitor NG-nitro-L-arginine methyl ester-(L-NAME) 15 min after DMI reversed hypotension within 5 min (P < 0.05). In contrast to its beneficial effect on blood pressure, L-NAME worsened DMI-induced prolongation of the electrocardiographic QRS interval. Dexamethasone, an inhibitor of NOS induction, did not prevent DMI-induced hypotension. 2 To study the effect of L-NAME on survival, DMI was administered to anesthetized rats as a continuous i.v. infusion until death. Despite initially improving blood pressure, L-NAME decreased the mean survival time by 33% (P < 0.01) compared to control treatment. Adminis tration of the nitric oxide (NO) donor nitroglycerine to rats during DMI infusion likewise decreased the mean survival time. 3 L-NAME partially reversed the hypotensive effect of nitroprusside in both anesthetized and awake rats. 4 These data suggest that NO production attributable to constitutive NOS ( cNOS) activity aggravates the hypoten sion associated with DMI toxicity in the anesthetized rat, and contributes to the pathophysiology of this overdose. The shortened survival time produced by both increasing and decreasing NO production suggests that cNOS activity during DMI overdose is regulated and adaptive. Ongoing cNOS activity also contributed to nitroprusside-induced hypotension, and may represent a feature common to other drug-induced hypotensive states.
APA, Harvard, Vancouver, ISO, and other styles
28

Bertram, Delphine, Christian Barrès, Yong Cheng, and Claude Julien. "Norepinephrine reuptake, baroreflex dynamics, and arterial pressure variability in rats." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 279, no. 4 (October 1, 2000): R1257—R1267. http://dx.doi.org/10.1152/ajpregu.2000.279.4.r1257.

Full text
Abstract:
This study examined the effect of norepinephrine reuptake blockade with desipramine (DMI) on the spontaneous variability of the simultaneously recorded arterial pressure (AP) and renal sympathetic nerve activity (SNA) in conscious rats. Acute DMI administration (2 mg/kg iv) depressed AP Mayer waves (∼0.4 Hz) and increased low-frequency (<0.2 Hz) components of AP variability. DMI decreased renal SNA variability, especially due to the abolition of oscillations related to Mayer waves. To examine whether DMI-induced changes in AP and renal SNA variabilities could be explained by alterations in the dynamic characteristics of the baroreceptor reflex loop, the frequency responses of mean AP to aortic depressor nerve stimulation were studied in urethan-anesthetized rats. DMI accentuated the low-pass filter properties of the transfer function without significantly altering the fixed time delay. The frequency responses of iliac vascular conductance to stimulation of the lumbar sympathetic chain were studied in an additional group of anesthetized rats. DMI did not markedly alter the low-pass filter properties of the transfer function and slightly increased the fixed time delay. These results suggest that the DMI-induced decrease in the dynamic gain of the baroreceptor reflex is responsible for the decreased spontaneous renal SNA variability and the accompanying increased AP variability. The “slowing down” of baroreflex responses cannot be attributed to an effect of DMI at the vascular neuroeffector junction.
APA, Harvard, Vancouver, ISO, and other styles
29

Jang, Sungchan, Won-Jae Chi, and Seung-Young Kim. "Dimethyl Itaconate Reduces α-MSH-Induced Pigmentation via Modulation of AKT and p38 MAPK Signaling Pathways in B16F10 Mouse Melanoma Cells." Molecules 27, no. 13 (June 29, 2022): 4183. http://dx.doi.org/10.3390/molecules27134183.

Full text
Abstract:
Dimethyl itaconate (DMI) exhibits an anti-inflammatory effect. Activation of nuclear factor erythroid 2-related factor 2 (NRF2) is implicated in the inhibition of melanogenesis. Therefore, DMI and itaconic acid (ITA), classified as NRF2 activators, have potential uses in hyperpigmentation reduction. The activity of cyclic adenosine monophosphate (cAMP) response element-binding protein (CREB), an important transcription factor for MITF gene promoter, is regulated by glycogen synthase kinase 3β (GSK3β) and protein kinase A (PKA). Here, we investigated the inhibitory effect of ITA and DMI on alpha-melanocyte-stimulating hormone (α-MSH)-induced MITF expression and the modulatory role of protein kinase B (AKT) and GSK3β in melanogenesis in B16F10 mouse melanoma cells. These cells were incubated with α-MSH alone or in combination with ITA or DMI. Proteins were visualized and quantified using immunoblotting and densitometry. Compared to ITA, DMI treatment exhibited a better inhibitory effect on the α-MSH-induced expression of melanogenic proteins such as MITF. Our data indicate that DMI exerts its anti-melanogenic effect via modulation of the p38 mitogen-activated protein kinase (MAPK) and AKT signaling pathways. In conclusion, DMI may be an effective therapeutic agent for both inflammation and hyperpigmentation.
APA, Harvard, Vancouver, ISO, and other styles
30

Bell, Courtney A., Suzanne Wilson, Traci Higgins, and D. Betsy McCoach. "Measuring the Effects of Professional Development on Teacher Knowledge: The Case of Developing Mathematical Ideas." Journal for Research in Mathematics Education 41, no. 5 (November 2010): 479–512. http://dx.doi.org/10.5951/jresematheduc.41.5.0479.

Full text
Abstract:
This study examines the impact of a nationally disseminated professional development program, Developing Mathematical Ideas (DMI), on teachers' specialized knowledge for teaching mathematics and illustrates how such research could be conducted. Participants completing 2 DMI modules were compared with similar colleagues who had not taken DMI. Teacher knowledge was measured with multiple-choice items developed by the Learning Mathematics for Teaching project and open-ended items based on problems initially developed by DMI experts. After controlling for pretest scores, a hierarchical linear model identified statistically significant differences: The DMI group outperformed the comparison group on both assessments. Gains in teachers' scores on the more closely aligned measure were related to the degree of facilitator experience with DMI. This study adds to our understanding of the ways in which professional development program features, facilitators, and issues of scale interact in the development of teachers' mathematical knowledge for teaching. Study limitations and challenges are discussed.
APA, Harvard, Vancouver, ISO, and other styles
31

Chen, Gong, Arantzazu Mascaraque, Hongying Jia, Bernd Zimmermann, MacCallum Robertson, Roberto Lo Conte, Markus Hoffmann, et al. "Large Dzyaloshinskii-Moriya interaction induced by chemisorbed oxygen on a ferromagnet surface." Science Advances 6, no. 33 (August 2020): eaba4924. http://dx.doi.org/10.1126/sciadv.aba4924.

Full text
Abstract:
The Dzyaloshinskii-Moriya interaction (DMI) is an antisymmetric exchange interaction that stabilizes chiral spin textures. It is induced by inversion symmetry breaking in noncentrosymmetric lattices or at interfaces. Recently, interfacial DMI has been found in magnetic layers adjacent to transition metals due to the spin-orbit coupling and at interfaces with graphene due to the Rashba effect. We report direct observation of strong DMI induced by chemisorption of oxygen on a ferromagnetic layer at room temperature. The sign of this DMI and its unexpectedly large magnitude—despite the low atomic number of oxygen—are derived by examining the oxygen coverage–dependent evolution of magnetic chirality. We find that DMI at the oxygen/ferromagnet interface is comparable to those at ferromagnet/transition metal interfaces; it has enabled direct tailoring of skyrmion’s winding number at room temperature via oxygen chemisorption. This result extends the understanding of the DMI, opening up opportunities for the chemisorption-related design of spin-orbitronic devices.
APA, Harvard, Vancouver, ISO, and other styles
32

Ledda, Antonello, Silvia Carta, Fabio Correddu, Alberto Cesarani, Alberto Stanislao Atzori, Gianni Battacone, and Nicolò Pietro Paolo Macciotta. "Dry Matter Intake Prediction from Milk Spectra in Sarda Dairy Sheep." Animals 13, no. 4 (February 20, 2023): 763. http://dx.doi.org/10.3390/ani13040763.

Full text
Abstract:
Individual dry matter intake (DMI) is a relevant factor for evaluating feed efficiency in livestock. However, the measurement of this trait on a large scale is difficult and expensive. DMI, as well as other phenotypes, can be predicted from milk spectra. The aim of this work was to predict DMI from the milk spectra of 24 lactating Sarda dairy sheep ewes. Three models (Principal Component Regression, Partial Least Squares Regression, and Stepwise Regression) were iteratively applied to three validation schemes: records, ewes, and days. DMI was moderately correlated with the wavenumbers of the milk spectra: the largest correlations (around ±0.30) were observed at ~1100–1330 cm−1 and ~2800–3000 cm−1. The average correlations between real and predicted DMI were 0.33 (validation on records), 0.32 (validation on ewes), and 0.23 (validation on days). The results of this preliminary study, even if based on a small number of animals, demonstrate that DMI can be routinely estimated from the milk spectra.
APA, Harvard, Vancouver, ISO, and other styles
33

Yusuf, Mustapha, Kendall C. Swanson, Lauren L. Hulsman Hanna, and Marc L. Bauer. "PSIV-2 Dry Matter Intake in Beef Cows is Influenced by Weather Variables." Journal of Animal Science 100, Supplement_2 (April 12, 2022): 187–88. http://dx.doi.org/10.1093/jas/skac064.316.

Full text
Abstract:
Abstract Models that can predict dry matter intake (DMI) of cows will help in efficient allocation and management of feed resources. A study was undertaken to understand the relationship between weather variables and DMI of beef cows in the Northern Great Plains of North America. Data from 155 beef cows with 2,161 observations (cow - weeks) was utilized. The variables utilized for this study were BW (455 to 875 kg), DMI (9.03 to 27.69 kg/d), NEm intake (9.16 to 46.12 Mcal/d), ambient temperature (-18.9 to 23.9°C), range of temperature (4.54 to 13.82 °C), wind speed (2.29 to 5.39 m/s), solar radiation (30.97 to 292.61 W/m2) dew point (-21.4 to 19.2 °C), and 2-week lag (average of previous 2 weeks values) and monthly lag (average of previous 4 weeks values) of each weather variable. Residuals of DMI fitting week of the year (fixed), and treatment (random), were used to generate scatter plots to identify if linear relationships existed. BW and weather variables had a linear relationship with DMI, while NEm intake had both linear and quadratic relationships with DMI. For the model, MIXED linear regression of SAS was used using stepwise regression. Model fits were determined using P-values, AIC, and BIC values. Absolute ambient temperature and range of temperature were important (P &lt; 0.05) weather predictors of DMI. Wind speed interacted (P &lt; 0.05) with ambient temperature and range of temperature, and this accounted for additional variation in DMI of beef cows. These results improved our understanding of the relationship between weather variables and DMI in beef cows like what was previously reported in beef steers.
APA, Harvard, Vancouver, ISO, and other styles
34

Oliveira, I. R. de, B. Diquet, V. Van der Meersch, J. Gonidec, and P. A. do Prado-Lima. "Higher blood and brain concentrations of imipramine and desipramine seem not to impair anti-immobility effect in mice." Psychiatry and Psychobiology 4, no. 6 (1989): 369–73. http://dx.doi.org/10.1017/s0767399x00001425.

Full text
Abstract:
SummaryWe studied the relationship of blood and brain levels of imipramine (IMI) and/or its active metabolite desipramine (DMI) to behavioural response, in the tail suspension test (TST). Compared to the control group, doses of 3.75, 7.5, 15, 30 and 60 mg/kg of IMI given intraperitoneally reduced immobility scores significantly. There were significant negative correlations between doses, brain levels of IMI, DMI, IMI + DMI, blood levels of IMI, DMI, IMI + DMI and the animal behaviour. Higher level of IMI and its metabolite in brain and in blood did not impair anti-immobility effect. These findings agree with most results found in men treated with IMI, and suggest a linear or sigmoid relationship between the antidepressant concentrations and its biological response.
APA, Harvard, Vancouver, ISO, and other styles
35

Yu, Ji-Sung, Dae-Yun Kim, Joon Moon, Seong-Hyub Lee, Jun-Young Chang, Duck-Ho Kim, Byoung-Chul Min, and Sug-Bong Choe. "Chirality-dependent roughness of magnetic domain walls." Applied Physics Letters 121, no. 17 (October 24, 2022): 172403. http://dx.doi.org/10.1063/5.0111529.

Full text
Abstract:
Dzyaloshinskii–Moriya interaction (DMI) plays a key role in the formation and stability of chiral magnetic objects, such as skyrmions and chiral domain-walls (DWs), which are used as building blocks of emerging high-density and high-speed devices. Here, we demonstrate that the DMI determines also the roughness of chiral DWs. Such DMI-dependent chiral roughness was observed from magnetic multilayer films of the Pt/Co/Pt heterostructure. Despite the stochastic nature of the DW roughness, the films clearly showed the roughness variation with respect to the DW chirality in balance with the DMI. The present analysis of the DW roughness offers a way to quantitatively determine the DMI-induced effective field as an essential parameter for the stability and dynamic characteristics of chiral DWs.
APA, Harvard, Vancouver, ISO, and other styles
36

Haythornthwaite, Peter. "DMI in the Antipodes." Design Management Review 31, no. 1 (March 2020): 28–31. http://dx.doi.org/10.1111/drev.12198.

Full text
APA, Harvard, Vancouver, ISO, and other styles
37

Chochinov, Allan. "Allan Chochinov: DMI Interview." Design Management Review 23, no. 4 (November 22, 2012): 104–5. http://dx.doi.org/10.1111/j.1948-7169.2012.00217.x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
38

Drivsholm, P., L. Busk, T. Nybro, and U. Werlauff. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S138. http://dx.doi.org/10.1016/j.nmd.2018.06.407.

Full text
APA, Harvard, Vancouver, ISO, and other styles
39

Dahlqvist, J., N. Poulsen, S. Oestergaard, F. Fornander, A. Eisum, C. Thomsen, and J. Vissing. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S138. http://dx.doi.org/10.1016/j.nmd.2018.06.408.

Full text
APA, Harvard, Vancouver, ISO, and other styles
40

Bachasson, D., J. Mosso, B. Marty, P. Carlier, and JY Hogrel. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S138—S139. http://dx.doi.org/10.1016/j.nmd.2018.06.409.

Full text
APA, Harvard, Vancouver, ISO, and other styles
41

Eidahl, J., L. Zhang, M. Hoover, O. Branson, M. Freitas, and S. Harper. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S139. http://dx.doi.org/10.1016/j.nmd.2018.06.410.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Giesige, C., L. Wallace, K. Heller, J. Eidahl, A. Fowler, N. Pyne, N. Saad, et al. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S139. http://dx.doi.org/10.1016/j.nmd.2018.06.411.

Full text
APA, Harvard, Vancouver, ISO, and other styles
43

Saad, N., M. Al-Kharsan, S. Garwick-Coppens, N. Pyne, and S. Harper. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S139—S140. http://dx.doi.org/10.1016/j.nmd.2018.06.412.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

Statland, J., E. Bravver, C. Karam, L. Elman, N. Johnson, N. Joyce, J. Kissel, et al. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S140. http://dx.doi.org/10.1016/j.nmd.2018.06.413.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Strings-Ufombah, V., A. Malerba, S. Harbaran, F. Roth, O. Cappellari, N. Nguyen, S. Kao, et al. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S140. http://dx.doi.org/10.1016/j.nmd.2018.06.414.

Full text
APA, Harvard, Vancouver, ISO, and other styles
46

Ishiyama, A., S. Kusabiraki, M. Inoue, Y. Oya, H. Miyahara, E. Takeshita, Y. Motohashi, H. Komaki, M. Sasaki, and I. Nishino. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S140—S141. http://dx.doi.org/10.1016/j.nmd.2018.06.415.

Full text
APA, Harvard, Vancouver, ISO, and other styles
47

Wang, L., H. Li, and C. Zhang. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S141. http://dx.doi.org/10.1016/j.nmd.2018.06.416.

Full text
APA, Harvard, Vancouver, ISO, and other styles
48

Park, J., S. Hwang, Y. Chang, and H. Song. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S141. http://dx.doi.org/10.1016/j.nmd.2018.06.417.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

De Antonio, M., C. Dogan, D. Hamroun, A. Geille, B. Eymard, and G. Bassez. "FSHD / OPMD / EDMD / DMI." Neuromuscular Disorders 28 (October 2018): S141. http://dx.doi.org/10.1016/j.nmd.2018.06.418.

Full text
APA, Harvard, Vancouver, ISO, and other styles
50

da Silva, H. M., A. B. Donadia, L. F. Moreno, A. S. de Oliveira, E. H. B. K. Moraes, and K. A. K. Moraes. "Prediction of dry matter intake by feedlot beef cattle under tropical conditions." Animal Production Science 61, no. 8 (2021): 800. http://dx.doi.org/10.1071/an18767.

Full text
Abstract:
Context Dry matter intake (DMI) is the variable that most affects beef cattle performance in feedlot conditions. Accurate prediction of DMI is essential because it is the basis for calculating nutritional requirements for maintenance and production. Aims A meta-analysis was conducted to develop DMI prediction models for feedlot beef cattle under tropical conditions, and to compare the models with those proposed by the National Research Council, USA, in 2000 and 2016, as well as those recommended by the Brazilian System of Nutritional Requirements (BR-Corte) and published by Azevêdo and colleagues in 2010 and 2016. Methods The dataset was created from 56 published studies conducted under tropical conditions. The dataset was randomly separated into two subsets for statistical analysis. The first subset was used to develop the models to predict DMI, and the second to evaluate the adequacy of the prediction models. The models were developed by using mixed linear and nonlinear analysis. Key results A nonlinear model and a linear model to predict DMI are proposed. These models were similar in terms of accuracy and were superior to the other evaluated models. The nonlinear and linear models explained, respectively, 59% and 62% of the DMI variation and had greater accuracy and precision than the other models. The 2016 model used by BR-Corte explained 55% of the DMI variation, and underestimated it at 0.20 kg/day. The remaining three models presented a systematic constant bias and were not adequate for predicting DMI. Conclusion The proposed nonlinear and linear prediction models of beef cattle in feedlot developed under tropical conditions are more precise and accurate than those recommended by the National Research Council and the 2010 model used by BR-Corte. They also present better prediction quality of DMI from beef cattle in feedlots under tropical conditions than the 2016 model used by BR-Corte. Implications The proposed models in the present study are the most suitable for use in predicting the DMI of beef cattle under tropical conditions.
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'DMI' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography