My Heart Has Learned to Love You Now Do Not Say Good-bye: Ballad

VERSE 1I never knew that sunbeams shone so brightly,I never knew that such sweet flowers grew,I never saw the stars that twinkle nightlyUntil the day, my love, when I met you.I never knew that I would feel so lonely,Yet when you go, my very soul goes too.My life would know but gladsome moments only,Could I but live it to the end with you. REFRAINMy heart has learned to love you,Now do not say good bye;You filled my life with fondest hopes,In childhood days gone by.Were you to leave me now, dear,My very soul would die!My heart has learned to love you,Now do not say goodbye. VERSE 2What tho’ the flow’rs sweet incense e’re be lending,What tho’ the moonbeams make night bright as day,What tho’ the bird’s sweet cadence be unending,‘Twould be as naught to me, were you away.Let all the world bestow its grandest treasures,E’en gates of Heav’n swing wide to let me thro’.‘Twould be an endless life bereft of pleasures,Had I to live it, loved one, without you. REFRAI

Love Me, and the World is Mine

https://digitalcommons.library.umaine.edu/mmb-vp/5162/thumbnail.jp

My heart has learned to love you, now do not say good-bye

https://digitalcommons.library.umaine.edu/mmb-vp/2913/thumbnail.jp

Enhanced Attraction to Blood by Pigs with Inadequate Dietary Protein Supplementation

In two experiments, 60 individually penned growing pigs were exposed daily to two sections of cotton cord, one of which had been soaked with pigs\u27 blood and subsequently dried, while the other was plain. The animals\u27 preference for chewing-on the blood-impregnated cord was quantified by direct observation. When fed a standard control diet of corn, barley, and soybean meal with mineral and vitamin supplements, the pigs had a clear but modest preference for chewing the blood-impregnated cord. Omission of the protein supplement (soybean meal) from the diet for 4 wk led to a major increase in attraction to blood and a significant reduction in body weight gain. In the second experiment, supplementation of this negative diet with (a) synthetic lysine, or (b) synthetic lysine and other synthetic amino acids, led to weight gains that were intermediate between those seen with the control and negative diets. Attraction to blood was also intermediate on average, although not significantly lower than that seen with the negative diet. Pigs on the diets supplemented with amino acids had highly variable weight gains. Those that gained as rapidly as the controls had relatively low attraction to blood, while those showing clear depression of gain tended to (but did not always) have enhanced attraction to blood. It is hypothesized that the depression of growth caused by inadequate protein nutrition predisposed the animals to enhanced attraction to blood, and that such a relationship may help to explain the widely reported link between dietary inadequacies and tail-biting

Evaluating The Effectiveness Of Audio In Hybrid Courses

The prevalence of either completely online or hybrid courses has continued to increase over the past decade, but properly designing the delivery mode of these courses remains a challenge. Whereas fully online institutions of higher education may focus on a purely online delivery format, more traditional colleges and universities have the challenge of balancing online and traditional classroom instruction using the hybrid course format. Whereas basic hybrid courses may have relied more on visual aids of instruction, this paper focuses on the effectiveness of enhancing these hybrid courses with audio lectures. Hybrid courses were created using PowerPoint slides consisting of a mix of visual and audio instructional delivery modes, and student surveys were subsequently administered at the conclusion of the semester to determine the ultimate effectiveness of audio enhancements. This paper presents the details of this case study, the corresponding statistical analyses and interpretations, and general concluding recommendations for audio-enhanced course design. Overall, the addition of the audio component to the hybrid course structure made the hybrid course experience more effective, increased the likelihood that the students would take or recommend future hybrid courses that contained audio enhancements, and made it more likely that the students would prefer a hybrid course to a traditional classroom-only course. Continued research is necessary to provide a more active learning experience and class community during the online components, and synergistically utilize classroom time more effectively to truly capture the benefits of both online and traditional instruction using the audio-enhanced hybrid course format

Computed tomographic atlas for the new international lymph node map for lung cancer: A radiation oncologist perspective

International audiencePurpose : To develop a reproducible definition for each mediastinal lymph node station based on the new TNM classification for lung cancer. Methods and Materials : This paper proposes an atlas using the new international lymph node map used in the seventh edition of the TNM classification for lung cancer. Four radiation oncologists and 1 diagnostic radiologist were involved in the project to put forward a reproducible radiologic description for the lung lymph node stations.Results : The International Association for the Study of Lung Cancer lymph node definitions for stations 1 to 11 have been described and illustrated on axial computed tomographic scan images using a certified radiotherapy planning system. Conclusions : This atlas will assist both diagnostic radiologists and radiation oncologists in accurately defining the lymph node stations on computed tomographic scan in patients diagnosed with lung cancer

History of the Innovation of Damage Control for Management of Trauma Patients: 1902-2016

Objective: To review the history of the innovation of damage control (DC) for management of trauma patients. Background: DC is an important development in trauma care that provides a valuable case study in surgical innovation. Methods: We searched bibliographic databases (1950-2015), conference abstracts (2009-2013), Web sites, textbooks, and bibliographies for articles relating to trauma DC. The innovation of DC was then classified according to the Innovation, Development, Exploration, Assessment, and Long-term study model of surgical innovation. Results: The innovation\u27\u27 of DC originated from the use of therapeutic liver packing, a practice that had previously been abandoned after World War II because of adverse events. It then developed\u27\u27 into abbreviated laparotomy using rapid conservative operative techniques.\u27\u27 Subsequent exploration\u27\u27 resulted in the application of DC to increasingly complex abdominal injuries and thoracic, peripheral vascular, and orthopedic injuries. Increasing use of DC laparotomy was followed by growing reports of postinjury abdominal compartment syndrome and prophylactic use of the open abdomen to prevent intra-abdominal hypertension after DC laparotomy. By the year 2000, DC surgery had been widely adopted and was recommended for use in surgical journals, textbooks, and teaching courses ( assessment\u27\u27 stage of innovation). Long-term study\u27\u27 of DC is raising questions about whether the procedure should be used more selectively in the context of improving resuscitation practices. Conclusions: The history of the innovation of DC illustrates how a previously abandoned surgical technique was adapted and readopted in response to an increased understanding of trauma patient physiology and changing injury patterns and trauma resuscitation practices

Robust Machine Learning Applied to Astronomical Datasets I: Star-Galaxy Classification of the SDSS DR3 Using Decision Trees

We provide classifications for all 143 million non-repeat photometric objects in the Third Data Release of the Sloan Digital Sky Survey (SDSS) using decision trees trained on 477,068 objects with SDSS spectroscopic data. We demonstrate that these star/galaxy classifications are expected to be reliable for approximately 22 million objects with r < ~20. The general machine learning environment Data-to-Knowledge and supercomputing resources enabled extensive investigation of the decision tree parameter space. This work presents the first public release of objects classified in this way for an entire SDSS data release. The objects are classified as either galaxy, star or nsng (neither star nor galaxy), with an associated probability for each class. To demonstrate how to effectively make use of these classifications, we perform several important tests. First, we detail selection criteria within the probability space defined by the three classes to extract samples of stars and galaxies to a given completeness and efficiency. Second, we investigate the efficacy of the classifications and the effect of extrapolating from the spectroscopic regime by performing blind tests on objects in the SDSS, 2dF Galaxy Redshift and 2dF QSO Redshift (2QZ) surveys. Given the photometric limits of our spectroscopic training data, we effectively begin to extrapolate past our star-galaxy training set at r ~ 18. By comparing the number counts of our training sample with the classified sources, however, we find that our efficiencies appear to remain robust to r ~ 20. As a result, we expect our classifications to be accurate for 900,000 galaxies and 6.7 million stars, and remain robust via extrapolation for a total of 8.0 million galaxies and 13.9 million stars. [Abridged]Comment: 27 pages, 12 figures, to be published in ApJ, uses emulateapj.cl