The Lantern Vol. 45, No. 2, April 1979

• A Runner\u27s Motivation • For A Little While • Nameless • We Must Remain Liberal Minded • Solstice of Paradise • Sunset • One More Love Poem for an Imperiled Society • A Poor Winter Poem • A Parody • State Hospital • Long Distance Love • The ID • Cereal Art • Stepping Stones • Message to the Populace • Therefore Must We Yearn • Anticipation • Dregs • Band of Devilshttps://digitalcommons.ursinus.edu/lantern/1114/thumbnail.jp

The Lantern Vol. 45, No. 2, April 1979

• A Runner\u27s Motivation • For A Little While • Nameless • We Must Remain Liberal Minded • Solstice of Paradise • Sunset • One More Love Poem for an Imperiled Society • A Poor Winter Poem • A Parody • State Hospital • Long Distance Love • The ID • Cereal Art • Stepping Stones • Message to the Populace • Therefore Must We Yearn • Anticipation • Dregs • Band of Devilshttps://digitalcommons.ursinus.edu/lantern/1114/thumbnail.jp

The Grizzly, November 5, 1991

Red and Gold Day • Changes for Education Majors • Golf Cart Stolen • Unrest in the Quad • Alcohol Update • Fourth Annual Grizzly Network Career Day • U.S.G.A. Minutes • Chemical Awareness • Biology Department Update • Environmental Notes • Fraternities Experience Humanity of Habitat • The Winner Is: Mudslinger #1 • The Harm of Rumors • Priorities in College Athletics • Feed Your Mind • Halloween Flop • Soviet Art at Ursinus • The Quad Peacock • College Choir Performs Requiem • Senior Barn Bash • Goodfellas • Bears Rush by the Mules in 13-9 Upset • Volleyball Ends Season with a Loss • Field Hockey Passes by Princeton • Senior Runners Reflect on Seasonhttps://digitalcommons.ursinus.edu/grizzlynews/1282/thumbnail.jp

The Grizzly, October 1, 1991

Whittaker Relates Gulf Experience • Sorority Pledging Underway • U.S.E.A.C. Conference a Success • Ursinus Students Feel the Excitement of Habitat • College Tutorial Project Thrives • U.C. Welcomes New Instructors • Leadershop 1991 • U.S.G.A. Finds a Home • A Plea for Help • GN\u27R: Illusion ... of Good Music • State Museum Exhibits Berman Sculptures • Jane Ira Bloom Jazzes It Up • Sky Sands Strikes Ursinus • Aerobics Attack • The Tempting Temple • Field Hockey Faces Tough Times • Bears Terrorized by Western Maryland • Lady Bears Finish 4th • Bears Tee Off • Runners Get Recognition • Soccer Splits Two • Cross Country Cruises to 3rd Place • Gift to Give • Alcohol Policy Enforcement Tightens • Intellect Over Image • Wismer Whine • Healing the Wounds of the Gulf War • The Search For the Chemical Promisehttps://digitalcommons.ursinus.edu/grizzlynews/1278/thumbnail.jp

The Grizzly, November 19, 1991

Founders\u27 Day Excitement • Grizzly Network Career Day • Women\u27s Choices • Volksmarching • Louisiana Election • Service Opportunities for Students • The European Situation • Jonas Salk Addresses Founders Day Convocation • Dr. Takats Awarded the Clamer Chair • Wellness Services Proposal • U.S.G.A. Minutes • Ursinus Continues Helping Habitat • Turkey Drive Needs You • Zack: The Man, The Myth, The Statue • Hocus Pocus a Success • Ursinus Students in Community Production of Gypsy • Movie Review: Hamlet • Battle of the Bands • Rollins Rocks Lower Lounge • Branker Tours to St. Petersburg • CAB Trip to New York • Writing in Good Taste • Magic: One Trick Too Many • Letters: Faculty Members Speak Out; GALA Replies to Letter; Call for Diversity; Publishing the Truth?; Student Reaction to Ronning; Response to Black Hole ; Students React to Social Life • No More Crap! • Filling in the Black Hole • One Professor\u27s Awakening • Lady Bears End Season • Men\u27s Lacrosse Awaits Chance • Women Swimmers Wash Out Washington • Spinella Takes Over as Head Coach of Basketball Team • Dickinson Defeats the Bearshttps://digitalcommons.ursinus.edu/grizzlynews/1284/thumbnail.jp

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe