3,081 research outputs found
Bertice Berry - 04/06/1999 - (Riall Lecture Series)
No full textBegun in 1988, the E. Pauline Riall Lecture Series brings to the University and community outstanding national lecturers in the field of education. The series was established by the late Miss Riall, long-time principal and teacher of the former Salisbury University's Campus School. A generous bequest was provided by Miss Riall's will to fund this special program.
Dr. Bertice Berry, Author, Sociologist, Comedian – 4/6/1999https://www.youtube.com/watch?v=VjageKPrvY
Wendell Berry, Kentucky\u27s Author
No full textMy poster highlights the life and works of Kentucky native Wendell Berry. Mr. Berry is most noted for his writings which encourage the support of local agriculture. I have done a phone interview with Mr. Berry, quotations from which were incorporated into the poster. Mr. Berry has intertwined his philosophy into both his fictional and non- fictional works, and highlights from these works are presented
The effects of berry polyphenols on the gut microbiota and blood pressure: A systematic review of randomized clinical trials in humans
No full textBerry consumption has beneficial effects on blood pressure. Intestinal microbiota transform berry phytochemicals into more bioactive forms. Thus, we performed a systematic review of randomized clinical trials to determine whether berry polyphenols in foods, extracts or supplements have effects on both the profile of gut microbiota and systolic and diastolic blood pressure in humans. PubMed, Cochrane Library, Scopus, and CAB Abstracts (EBSCOhost) were searched for randomized clinical trials in humans published from 1 January 2011 to 29 October 2021. Search results were imported into Covidence for screening and data extraction by two blinded reviewers, who also performed bias assessment independently. The literature search identified 216 publications; after duplicates were removed, 168 publications were screened with 12 full-text publications assessed for eligibility. Ultimately three randomized clinical trials in humans met the eligibility criteria. One randomized clinical trial showed a low risk of bias while the other two randomized clinical trials included low, high or unclear risk of bias. Together the randomized clinical trials showed that berry consumption (Aronia berry, strawberries, raspberries, cloudberries and bilberries) for 8–12 weeks had no significant effect on both blood pressure and the gut microbiota. More randomized clinical trials are needed to determine the effects of berry consumption on the profile of gut microbiota and blood pressure in humans
Sex Addiction: the Chicken-and-Egg Dilemma of Diagnosis
No full textIn May 2013, the American Psychiatric Association will release the next version of the Diagnostic and Statistical Manual of Mental Disorders (DSM-V). Interestingly, sex addiction, despite significant attention from mainstream media, will be omitted from the manual. This omission presents a challenge to clinicians who treat sex addiction, and researchers aiming to further our understanding of the issue. This commentary outlines some of the reasons sex addiction was not included in the DSM-V, including a ‘chicken-and-egg’ conundrum, which makes it difficult to generate research without a clear diagnosis, and difficult to establish a definitive diagnosis without a supportive body of research
Bertice Berry, Ph.D. - Best-selling Author and Entertainer
No full textNO ONE DEFIES STEREOTYPES, generalizations, or clichés more than Dr. Bertice Berry. Growing up poor in Wilmington, Delaware, Berry was told by a high school teacher that she was “not college material.” Fortunately, there was another teacher who believed in her, and Berry applied to several schools without any idea how she would pay her tuition. The day her application arrived at Jacksonville University in Florida, a wealthy benefactor called the Admissions Department looking for a student “who could swim if they had the right backing,” and might sink without it.
Berry graduated magna cum laude from Jacksonville, and subsequently earned a Ph.D. in sociology from Kent State University at age 26. She became one of Kent State’s most popular teachers by using humor to address such difficult subjects as racism and sexism. Upon leaving academia, she became an award-winning entertainer, lecturer, comedian, and television host, creating a niche as both a gifted speaker with a comic edge and a comic with a serious message.
Dr. Berry is the best-selling author of the inspirational memoir I’m On My Way, But Your Foot Is On My Head. Her first work of fiction, Redemption Song, was also a bestseller. Her other works include Jim & Louella’s Homemade Heart-Fix Remedy, and When Love Calls, You Better Answer. She has graciously donated all of the royalties from the sales of her books to organizations that help families in transition, raise funds for scholarships, and provide resource information to low-income families.https://corescholar.libraries.wright.edu/archives_presidential_lecture_series/1047/thumbnail.jp
Perseverance: Bestselling Author Is Cedarville’s Berry Chair of Entrepreneurship
No full textNearly 18 years ago, Kary Oberbrunner scribbled “10-23-05 Cedarville?” next to Psalm 75 in his Bible. Now, 12 books, two companies, and one doctoral degree later, this Wall Street Journal and USA Today bestselling author and entrepreneur is serving as the Berry Chair of Entrepreneurship
Effectiveness of mid-infrared spectroscopy to predict the color of bovine milk and the relationship between milk color and traditional milk quality traits
No full textThe color of milk affects the subsequent color features of the resulting dairy products; milk color is also related to milk fat concentration. The objective of the present study was to quantify the ability of mid-infrared spectroscopy (MIRS) to predict color-related traits in milk samples and to estimate the correlations between these color-related characteristics and traditional milk quality traits. Mid-infrared spectral data were available on 601 milk samples from 529 cows, all of which had corresponding gold standard milk color measures determined using a Chroma Meter (Konica Minolta Sensing Europe, Nieuwegein, the Netherlands); milk color was expressed using the CIELAB uniform color space. Separate prediction equations were developed for each of the 3 color parameters (L* = lightness, a* = greenness, b* = yellowness) using partial least squares regression. Accuracy of prediction was determined using both cross validation on a calibration data set (n = 422 to 457 samples) and external validation on a data set of 144 to 152 samples. Moderate accuracy of prediction was achieved for the b* index (coefficient of correlation for external validation = 0.72), although poor predictive ability was obtained for both a* and L* indices (coefficient of correlation for external validation of 0.30 and 0.55, respectively). The linear regression coefficient of the gold standard values on the respective MIRS-predicted values of a*, L*, and b* was 0.81, 0.88, and 0.96, respectively; only the regression coefficient on L* was different from 1. The mean bias of prediction (i.e., the average difference between the MIRS-predicted values and gold standard values in external validation) was not different from zero for any of 3 parameters evaluated. A moderate correlation (0.56) existed between the MIRS-predicted L* and b* indices, both of which were weakly correlated with the a* index. Milk fat, protein, and casein were moderately correlated with both the gold standard and MIRS-predicted values for b*. Results from the present study indicate that MIRS data provides an efficient, low-cost screening method to determine the b* color of milk at a population level
Processing characteristics of dairy cow milk are moderately heritable
No full textMilk processing attributes represent a group of milk quality traits that are important to the dairy industry to inform product portfolio. However, because of the resources required to routinely measure such quality traits, precise genetic parameter estimates from a large population of animals are lacking for these traits. Milk processing characteristics considered in the present study—rennet coagulation time, curd-firming time, curd firmness at 30 and 60 min after rennet addition, heat coagulation time, casein micelle size, and milk pH—were all estimated using mid-infrared spectroscopy prediction equations. Variance components for these traits were estimated using 136,807 test-day records from 5 to 305 d in milk (DIM) from 9,824 cows using random regressions to model the additive genetic and within-lactation permanent environmental variances. Heritability estimates ranged from 0.18 ± 0.01 (26 DIM) to 0.38 ± 0.02 (180 DIM) for rennet coagulation time; from 0.26 ± 0.02 (5 DIM) to 0.57 ± 0.02 (174 DIM) for curd-firming time; from 0.16 ± 0.01 (30 DIM) to 0.56 ± 0.02 (271 DIM) for curd firmness at 30 min; from 0.13 ± 0.01 (30 DIM) to 0.48 ± 0.02 (271 DIM) for curd firmness at 60 min; from 0.08 ± 0.01 (17 DIM) to 0.24 ± 0.01 (180 DIM) for heat coagulation time; from 0.23 ± 0.02 (30 DIM) to 0.43 ± 0.02 (261 DIM) for casein micelle size; and from 0.20 ± 0.01 (30 DIM) to 0.36 ± 0.02 (151 DIM) for milk pH. Within-trait genetic correlations across DIM weakened as the number of days between compared intervals increased but were mostly >0.4 except between the peripheries of the lactation. Eigenvalues and associated eigenfunctions of the additive genetic covariance matrix for all traits revealed that at least the 80% of the genetic variation among animals in lactation profiles was associated with the height of the lactation profile. Curd-firming time and curd firmness at 30 min were weakly to moderately genetically correlated with milk yield (from 0.33 ± 0.05 to 0.59 ± 0.05 for curd-firming time, and from −0.62 ± 0.03 to −0.21 ± 0.06 for curd firmness at 30 min). Milk protein concentration was strongly genetically correlated with curd firmness at 30 min (0.84 ± 0.02 to 0.94 ± 0.01) but only weakly genetically correlated with milk heat coagulation time (−0.27 ± 0.07 to 0.19 ± 0.06). Results from the present study indicate the existence of exploitable genetic variation for milk processing characteristics. Because of possible indirect deterioration in milk processing characteristics due to selection for greater milk yield, emphasis on milk processing characteristics is advised
Factors associated with milk processing characteristics predicted by mid-infrared spectroscopy in a large database of dairy cows
No full textDespite milk processing characteristics being important quality traits, little is known about the factors underlying their variability, due primarily to the resources required to measure these characteristics in a sufficiently large population. Cow milk coagulation properties (rennet coagulation time, curd-firming time, curd firmness 30 and 60 min after rennet addition), heat coagulation time, casein micelle size, and pH were generated from available mid-infrared spectroscopy prediction models. The prediction models were applied to 136,807 spectra collected from 9,824 Irish dairy cows from research and commercial herds. Sources of variation were investigated using linear mixed models that included the fixed effects of calendar month of test; milking time in the day; linear regressions on the proportion of Friesian, Jersey, Montbéliarde, Norwegian Red, and “other” breeds in the cow; coefficients of heterosis and of recombination loss; parity; stage of lactation; and the 2-way interaction parity × stage of lactation. Withinand across-parity cow effects, contemporary group, and a residual term were also included as random effects in the model. Supplementary analyses considered the inclusion of either test-day milk yield or milk protein concentration as fixed-effects covariates in the multiple regression models. Milk coagulation properties were most favorable (i.e., short rennet coagulation time and strong curd firmness) for cheese manufacturing in early lactation, concurrent with the lowest values of both pH and casein micelle size. Milk coagulation properties and pH deteriorated in mid lactation but improved toward the end of lactation. In direct contrast, heat coagulation time was more favorable in mid lactation and less suitable (i.e., shorter) for high temperature treatments in both early and late lactation. Relative to multiparous cows, primiparous cows, on average, yielded milk with shorter rennet coagulation time and longer heat coagulation time. Milk from the evening milking session had shorter rennet coagulation time and greater curd firmness, as well as lower heat coagulation time and lower pH compared with milk from the morning session. Jersey cows, on average, yielded milk more suitable for cheese production rather than for milk powder production. When protein concentration was included in the model, the improvement of milk coagulation properties toward the end of lactation was no longer apparent. Results from the present study may aid in decisionmaking for milk manufacturing, especially in countries characterized by a seasonal supply of fresh milk
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