 tonicity was calculated based on the dissolved components. Data was compared to three fitness drinks declared as mineral nutrient containing and isotonic. Subsequently different sodium salts were added to alcohol free, yeast-clouded beer to reach the recommended sodium concentrations of 500 mg L-1. These spiked beers were tested blind for flavor impairments. This study shows that just two of the fitness drinks came even close to fulfilling the EU direction. Generally almost all beers are mineral nutrient containing, as defined by Austrian law. Due to the alcohol concentration none of alcoholic beers are isotonic, as they are hypertonic. Most of the yeast clouded, alcohol free beers are within the isotonic range. Each beer fulfills the EU recommended carbohydrate content but none comes even close to fulfilling the sodium content. The blind tasting of the spiked beers showed minor flavor impairment with sodium carbonate as the salt causing the least negative effects on taste and odor. In conclusion yeast clouded, alcohol free beer might be labeled as mineral nutrient containing and isotonic, implying to be an ideal sport drink. Due to the lack of sodium the real benefit of such a beverage could diminish unless mixed with beverage containing high levels of sodium or sodium carbonate.It was hardly a foregone conclusion that Pittsburgh native Wayne Lynch would become a Philadelphia 76ers fan. Football-crazy Pittsburgh is notoriously apathetic about basketball and is downright hostile toward the big city at the other end of the Pennsylvania Turnpike. But thanks to the National Basketball Association’s long-since-discarded policy of playing a half-dozen or more games on “neutral” courts, a 16-year-old Lynch was able to see the 76ers play six games in Pittsburgh during the 1966-1967 season—the year that the team won the NBA championship.
After graduation, Lynch enrolled at Kent State University, where he parlayed radio-listening experience into a gig as a play-by-play basketball announcer for the college radio station. He later worked as a journalist in various cities, including Akron and Columbus, Ohio; Baltimore; and Richmond, Va. For the past decade, he has been a senior news executive with NewsChannel 8, Washington’s only local-news cable channel.
Over the years, Lynch’s boyhood love for the Sixers waned—until 1999, when his brother gave him a birthday gift that reignited his enthusiasm: a 1967-1968 76ers yearbook, for the year after they won the title. “I looked at it and said, ‘I’ve got to go back and finish what I had started,’” he recalls. “I felt my teenage crush coming full circle.” He proposed writing a history of the 1966-1967 championship team, and though it promised to be a niche book, his agent managed to sell it within a matter of weeks. Last month, Season of the 76ers: The Story of Wilt Chamberlain and the 1967 NBA Champion Philadelphia 76ers hit bookshelves nationwide.
Lynch’s account illustrates how ancient the mid-’60s NBA seems from today’s vantage point. Television broadcasts were rare, and many teams were struggling to survive financially. When the 76ers flew back to Philadelphia after beating the San Francisco Warriors for the NBA title, only a couple hundred fans came to greet them—a small fraction of the numbers that greet returning champions today. “Sports wasn’t a dominant cultural force then, because it didn’t have the same degree of TV exposure,” Lynch says. Even the players’ tight, shiny shorts and canvas high-tops look much more dated than baseball or football uniforms of that era.
For Lynch, Chamberlain remains the team’s most fascinating figure. A few years before his death, in 1999, Chamberlain wrote an autobiography in which he claimed to have slept with 20,000 women. Since then, that outlandish, and unprovable, claim has threatened to overshadow his accomplishments on the court—a development that Lynch sought to counter with his book. Lynch argues that Chamberlain is the NBA’s greatest player ever—edging out Michael Jordan, mainly because Chamberlain’s dominance forced the NBA to expand the size of the key, institute a three-second rule, and stiffen the edicts against offensive goaltending.
Q: Tumour cells and ResNet A patient is represented by a set of images (1000 at maximum) of his tissues of either healthy or tumour cells. A patient is classified as 1 if at least one of the images shows tumour cells.
These images are not available but ResNet features are available for each of the images that have been extracted using ResNet50 pre-trained on the ImageNet dataset. We also have as a label not the annotation for each image but only whether or not a patient has cancer cells.
The aim is to determine whether or not a new patient represented by a maximum of 1000 images has cancer cells.
I have tried several classifiers as a logistic regression on the mean per patient of the ResNet features but I only get a maximum AUC of 0.7. Do you have an idea for improvement?
There are as a training set about 300 patients each represented by 2048 (ResNet features) * 1000 (number of images sometimes a little less).

A: If I understand correctly, what you have done is feature extraction, where the weights are not derived from your dataset. To improve performance, you want the model to learn parameters suitable to your dataset.
Have you tried retraining the pre-trained ResNet-50 with your dataset? Here you can first try without freezing any layer. This would mean that all the weights would be recomputed, this would be a computationally intensive process. Alternatively, you could freeze a few initial layers to speed up your training process.
I have actually worked with ResNet-50 in detecting tumor cells from a mixed population containing tumor cells and white blood cells and found that the performance improved when I retrained the Network. No layers were frozen.
Hope this helps.
Best
Ani
On June 25th, 2022, the Education Department celebrated its unstoppable graduates in an all-day, joint celebration with the Immokalee Church. The inspiring day began with Pastor Andre Campbell’s stirring sermon, “Re-Orientation,” followed by a Grab ‘n Go luncheon and ended with a moving Graduation ceremony in the afternoon.
Overall, ten students graduated, five of whom received academic honours. Joshua Wainwright accepted a major financial scholarship from Oakwood University, and Grace Paul was recognized for academic excellence and achievement in athletic sports. From the Immokalee Church Barbara St. Fleur was the recipient of the Golden Disc Award from Arcadia University, and Mackenson Yrelus and Ketnisse Pierre received academic honours. Additionally, three students -- Xaria Boatswain Emanique Cunningham -- were acclaimed for academic excellence, and 10-year old Peyton Cunningham for special honours. The youngest graduate is 6-year-old Jonathan Bell, who graduated from kindergarten.
others have failed. He stressed their anchor in the Lord as a sustaining force, a force with which they must keep company forever, and reminded them of their commitment as Christ Followers to use their excellence in academic awards, sports, and in the service of their Church and the world. “Stand like the brave, whatever else you do from this moment on,” he urged.
In On Writing: A Memoir of the Craft, bestselling horror writer Stephen King offers advice that anyone—and especially dissertation students—can take to heart. He advocates an escape from the soul-destroying interminable rewriting of the first paragraph of the introduction that plagues many of us in academe–and that can crush many a novelist as well. The tendency to re-re-re-write has certainly hobbled me in my previous writing. Stephen King advocates a very different approach. He calls it the “Crummy First Draft” (CFD).
King actually uses a harsher word. (Use your imagination, folks! The word is not the point.) His book walks you through some exercises and examples. His main idea is that, when we start a book, there is often a moment of exciting clarity. And if we begin to revise at that point, we can kill that clarity. He advocates trying to capture the whole big idea (or, for fiction, the plot) in one rush, and then returning later to fill in, revise, add side thoughts, fill in data or research, work in what you forgot in your rush to capture that insight of the first, fresh, original inspiration.
He breaks apart the CFD process: it’s rather like those Renaissance painters who began with a very simple under-sketch, laying out the entire composition on the canvas, providing a structure and a support for all the layers and layers of paint to come later. In a CFD, you write in broad strokes. 
A CFD should feel like an adventure—it is almost automatic writing. Let yourself enjoy the process, let yourself be as free and imaginative as you can be. You can pull it all back and harness it all in later. Have fun with it. Go wild! But, because you might have a serious thought or two you want to follow up on later, be kind: leave yourself notes that will help you do that revision work later. You don’t want to get lost in the woods during the CFD; you want to leave markings along the trail. Don’t stop too long... but leave notes to yourself every step of the way.
Here’s a tactic I’ve developed (even before this CFD actually): If I find a website or a blog or article that I like, something I wish to spend time with later, or even a Tweet or Facebook post or something else in social media, it’s very easy