Adding up the carbon impactConverting a plant from coal to wood is fairly simple — “a quick and comparatively cheap way to shift towards renewables,” Styles writes — but the equation gets a lot more complicated when details of “carbon accounting” are considered.Ironically, trucking wood pellets to a port and then shipping them across the Atlantic isn’t what tips the scales against wood, in part because ships can carry huge amounts of cargo efficiently. Even the processing of pellets, including grinding and drying the fiber, isn’t a fatal flaw.Instead, it’s the source of the wood that’s turned into pellets that counts.Coal releases carbon that has been stored for millions of years, while wood releases carbon that has only recently been captured through photosynthesis, and newly planted trees begin capturing carbon again in a relatively short amount of time. This balance of storing and releasing carbon, however, isn’t uniform.Styles writes, “The government study notes that wood from intensively managed plantations could mean more carbon taken up by growing trees than emitted by the transport and processing of the pellets, leading to a net reduction in emissions even before avoided coal emissions are accounted for. Conversely … the study found that if wood pellets are sourced from regenerated natural forests, carbon emissions could be five times higher than from burning coal.”Drax doesn’t agree. “Provided the rate at which carbon is absorbed by the forest as a whole equals or exceeds the rate at which it is being removed there is no net release of carbon,” the utility says. “Healthy demand for wood stimulates supply and ensures forests remain as forests. That is why forest cover in the U.S. is growing year on year and has been growing for each of the last 50 years.”Drax insists that its sustainability policy requires that the sourcing of pellets not lead to a net increase in carbon levels, which is the case “at a landscape level, at state level, across the southeast U.S. and across the U.S. as a whole.” NRDC: Burning Trees to Make Electricity is an ‘Environmental Disaster’ Biomass Electricity Production: How Green Is It?Do Wood-Burning Power Plants Make Sense?Germany’s Bioenergy VillagesVÃ¤xjö, Sweden, is a Model of SustainabilityTwo Biomass Plants in Maine to CloseHeating With Wood PelletsShould Green Homes Burn Wood? RELATED ARTICLES “A U.K. government study found that electricity generated from regenerated forests could have a carbon intensity five times higher than coal,” Styles says. “Burning wood also releases nitrogen oxides and carcinogenic compounds.” Six millions tons of wood pellets manufactured from trees harvested in the U.S. were shipped to Europe last year to help utilities there meet renewable energy goals, but a growing number of environmentalists say that the program does more harm than good. In an article posted at Science 2.0, David Styles, a lecturer at Bangor University in Wales, said that shipments in 2015 were nearly double the amount of pellets shipped in 2013. Half of them went to a single plant: Britain’s Drax power station, which is switching from coal to biomass in order to reduce carbon emissions and grab what are called “renewable obligation certificates.”The pellets were manufactured from wood harvested in five U.S. states: Louisiana, Georgia, Florida, Alabama, and Virginia.Converting power plants from coal to wood may look good on paper, but a number of environmental groups are arguing just the opposite. In a paper published last fall, the groups argued that burning pellets to produce “bioenergy” has a number of ugly side effects, including soil and water pollution, the growth of industrial scale logging, and a loss of biodiversity. The groups argue that biomass should be excluded from the European Union’s next Renewable Energy Directive. Environmental concerns are not newA wide scale use of wood pellets to generate electricity also has been criticized by the Natural Resources Defense Council, which said three years ago that the practice could double logging rates and significantly increase carbon emissions.The environmental impact of the U.S. wood pellet trade may be disputed, but there’s not much doubt that it’s been a boon for the forest industry in some states. Forbes reported last year that the number of wood pellet plants has jumped significantly — two new mills planned In North Carolina alone will mean investments of $214 million and 160 permanent jobs by next year.
AI Will Empower Leaders, Not Replace Them AI: How it’s Impacting Surveillance Data Storage Bart Schachter Machine learning has been defined by Stanford University as “the science of getting computers to act without being explicitly programmed.” It’s machine learning that is now behind some of the greatest advancements in technology, driving new industries like autonomous vehicles.From machine learning, a whole new world of concepts has developed, including supervised learning and unsupervised learning, as well as algorithm development to build robots, Internet of Things devices, chatbots, analytics tools, and more. Here are seven ways you can put machine learning to work right now:1. Analyzing Sales DataThe sales function has benefited from the growth in sales-focused data thanks to the increase in digital interaction. Sales teams can tap into metrics from social media platforms, A/B testing, and website visits. Yet with so much data to sift through, sales teams are often bogged down by the time and analysis it takes to pinpoint the necessary insights.Fortunately, machine learning can significantly speed up the process of uncovering the most valuable information. Not only does machine learning do a lot of the heavy lifting in the time-consuming process of reviewing all the sales data, but it can also do much of the analysis for your team. For example, Growbots applies machine learning in order to connect sales teams with the best leads for them. In return, sales teams are able to focus only on those leads that have the greatest potential, accelerating their outbound sales process.2. Real-Time Mobile PersonalizationDigital personalization is becoming a more sought-after process to engage prospects and customers, as well as enhance the overall experience so they regularly return to buy your products or services. This has become particularly important in the mobile environment with the advent of tablets, smartphones, and wearables.Now, mobile marketers and app developers are looking for a way to leverage all the information they can find about each customer’s context so they can develop a highly personalized mobile experience that pleases the consumer and delivers a greater return. Enter machine-learning applications.Flybits is one company that uses machine learning to enable companies to deliver real-time personalization. This context-as-a-service product allows you to have instant cloud access to internal and external data to develop personalized mobile channels.Yet as Facebook’s recent experience has shown, companies that fail to protect consumers’ personal data can expect a backlash. According to Hossein Rahnama, founder and CEO of Flybits, “Flybits promotes data transparency and a proactive approach to privacy. Our enterprise customers want to protect the privacy of their customers, and Flybits makes this easy. First, our customers maintain full control over their data — we do not own it. In addition, we follow Privacy by Design to embed security into our software and use tokenization to anonymize all customer data. Our customers have total control over the opt-in choices that they offer.”3. Fraud DetectionWith consumers’ growing preference for shopping online, criminals have gained an enormous opportunity to commit more fraud. Businesses have employed many types of online security measures but are finding that more are needed. The rise in online transactions also means that many of the measures available to check them make each transaction take longer and slow down the purchase experience — and still often don’t work to stop fraud. The result is increased chargebacks that cost money and impact a brand’s reputation.Luckily, machine learning is available to improve the fraud detection process. For example, PayPal is using machine-learning tools to look for fraudulent transactions (including money laundering) and to help separate these from legitimate transactions. Machine learning assists by examining specific features in a data set and then building models that provide the basis for reviewing every transaction for certain signs it could be fraudulent. This helps stop the fraud in process before the transaction is even completed.4. Product RecommendationsIf you are in the online retail environment, then you know that your customers like having personalized recommendations delivered to them. It improves the shopping experience in their eyes and offers you a way to sell more products. While Amazon was one of the first to introduce an algorithm to improve the product recommendation process, machine-learning tools have ramped up what you can do.As John Bates, senior product manager for data science and predictive marketing solutions at Adobe, observes: “By leveraging machine learning and predictive analytics, brands can look beyond what customers are searching for and start connecting the dots on what they likely want. It’s cross-selling at scale — matching customers to specific products or content that will nudge them towards more conversions and greater lifetime values.”Ecommerce giants like Amazon and Alibaba have already jumped on the machine-learning bandwagon. Amazon has improved upon its own product recommendation process with its artificial neural networks machine-learning algorithm, while Alibaba created the “E-commerce Brain.” Its product recommendation machine-learning mechanism has helped the retailer to significantly raise revenues just by populating billions of personalized product recommendation pages.5. Learning Management SystemsThere is greater understanding of the value of ongoing learning opportunities across all learning segments, including virtual training management software. As a result, the global eLearning market is growing by leaps and bounds. In 2010, it was approximately $32 billion. By 2015, it grew to $107 billion. Now, it is projected to reach $325 billion by 2025.For example, eLearning Industry is an online media and publishing company that was established in 2012 to create a comprehensive knowledge-sharing platform for eLearning professionals. In order to create the most relevant platform for this industry, machine learning became an important differentiating tool. For the tools and platforms that companies create to serve the LMS industry, machine learning is a core competitive advantage because it can generate the most relevant, personalized training management experience possible.Christopher Pappas, founder of eLearning Industry, writes: “What if you could create eLearning content and then let the system take care of the more tedious tasks, such as reviewing charts and statistics to detect hidden patterns? What if you could provide immediate personalized eLearning feedback and steer online learners in the right direction without any human intervention? Machine Learning and Artificial Intelligence have the potential to automate the behind-the-scenes work that requires a significant amount of time and resources. In the future, AI can help you develop and deploy more meaningful eLearning experiences that bridge undisclosed gaps.”6. Dynamic PricingThe travel and retail industries see opportunities to change pricing based on a need or the level of demand. However, incorporating the concept of dynamic pricing can seem impossible across a large enterprise, as there are multiple locations or segments of customers that would need to be taken into account.That’s where machine learning can make the dynamic pricing model work. For example, both Uber and Airbnb use machine learning to help create dynamic prices for each user on the fly. Plus, Uber uses it to minimize wait time and optimize the ride-sharing aspect of its services. Uber can temporarily change pricing in that area to gain a higher revenue stream. Also, it can reduce rates where demand is much lower.Machine learning can utilize existing data to predict where demand may occur. In addition, if online companies or app developers can determine where a visitor’s country or city of origin, then they can charge a price based on what that person is comfortable paying in his or her home location.7. Natural Language ProcessingThere are so many functions where it would be great to have a stand-in to take care of tedious tasks. These include tech support, help desks, customer service, and many others. Thanks to machine learning’s capability for natural language processing (NLP), computers can take over. That’s because NLP provides an automated translation method between computer and human languages. Machine learning focuses on word choices, context, meaning, slang, jargon, and other subtle nuances within human language. As a result, it becomes “more human” in its responses.Using this capability, chatbots can step in and serve as communicators in place of humans for various roles. In addition, NLP applies to situations where there is complex information to dissect, including contracts and research reports.As these examples show, machine learning is ready to step in and make many business areas more efficient, effective, and profitable. The time to implement the technology of tomorrow is today. A Web Developer’s New Best Friend is the AI Wai… China and America want the AI Prize Title: Who … Tags:#AI#AI Machine Learning#Machine Learning Bart Schachter is an investor, operator, and tech affectionado, with a passion for business operations, team building, product design, finance, and deal making. Bart has been an entrepreneur, VC, corporate executive, and turn-around operator. He lives in San Francisco and all his view are his own. Related Posts
Benfica ended their Champions League hoodoo as Alfa Semedo scored a stunning goal to secure a 3-2 victory at AEK Athens in Group E.Viktor Klonaridis’ second-half double looked to have clinched a share of the spoils for AEK, who had taken full advantage of Ruben Dias’ red card late in the first half.Yet Benfica, who were 2-0 up by the 15th minute thanks to Haris Seferovic and Alex Grimaldo, rallied through substitute Semedo’s solo effort on his debut in the Champions League proper. Article continues below Editors’ Picks Man Utd ready to spend big on Sancho and Haaland in January Who is Marcus Thuram? Lilian’s son who is top of the Bundesliga with Borussia Monchengladbach Brazil, beware! Messi and Argentina out for revenge after Copa controversy Best player in MLS? Zlatan wasn’t even the best player in LA! The victory ends Benfica’s eight-match losing streak in the competition, getting them off the mark in a tightly-contested Group E.Benfica were ahead inside six minutes, Seferovic reacting sharply to tuck home on the rebound after Vasilios Barkas parried Gedson Fernandes’ strike.AEK were carved open again not long after, Grimaldo making no mistake with a neat header from six yards.The hosts were handed a boost on the stroke of half-time, however, when Dias picked up a second booking for a high kick on Ezequiel Ponce.Dias’ recklessness was soon punished – Klonaridis getting the better of his marker to turn in Niklas Hult’s low cross.AEK’s pressure told again after the hour, Marios Oikonomou’s knock-down leaving Klonaridis with a simple finish.Klonaridis should have completed the turnaround with 19 minutes remaining, only to fire straight at Odisseas Vlachodimos, and Semedo soon made the hosts pay.Having picked up the ball inside Benfica’s half, the youngster powered through AEK’s midfield before dispatching coolly to clinch the points.Those 3 points are ours!Now, let’s breathe! #AEKSLB #UCL pic.twitter.com/aSMzYJ2EEg— SL Benfica (@slbenfica_en) October 2, 2018 What does it mean: Benfica’s torrid run comes to an endBenfica lost all six games in last season’s competition and seemed to try their best to throw this result away in Athens, but Rui Vitoria’s side ultimately held firm to claim a first Champions League win in nine attempts. AEK, meanwhile, are rooted to the bottom of Group E.Debutant Semedo salvages the spoilsSemedo wasted little time in stamping his authority on proceedings, with his pace and power proving too much for AEK to handle. To round it off, the 21-year-old supplied an unerringly accurate finish following his wonderful solo run.Dias makes life difficult for BenficaBenfica were in complete control until Dias’ reckless challenge just before the break, and the defender can count himself lucky that Semedo spared his blushes.Key Opta Stats100 – Haris Seferovic has scored SL Benfica’s 100th Champions League goal – Benfica have become the 27th team to reach 100 goals in the competition and just the second Portuguese side after FC Porto. Centennial.#AEKSLB #ChampionsLeague— OptaJoao (@OptaJoao) October 2, 2018- Benfica have won an away Champions League game in which they received a red card for the first time since October 2011 vs FC Basel (2-0).- Since the start of last season, no team has been shown more red cards in the Champions League than Benfica (3, also Juventus and FK Qarabag).- Benfica netted twice inside the opening 15 minutes against AEK Athens; it was the first time they have ever done so in the Champions League.- Seferovic’s sixth-minute strike was Benfica’s 100th goal in the Champions League, making them the 27th side to reach that total, and just the second from Portugal (also Porto).What’s next?There are two huge games coming up for both of these sides. While Benfica host Porto in the first O Classico of the season, AEK will look to bounce back against Olympiakos. read more
Superstar violinist and Olympic skier, Vanessa-Mae, is hoping she can help orchestrate a wave of public support for ending animal testing in Thailand.A statement from the Thai government, that it has agreed in principle to look at ending animal testing for cosmetics, has struck a chord with the Cruelty Free International Ambassador, who is currently in Thailand visiting family and the Thai Olympic Committee.In April 2015 Cruelty Free International received confirmation from the Ministry of Public Health in Thailand that it is now in the process of reviewing the availability of local laboratories and decision-makers to use non-animal safety testing for cosmetics. Vanessa-Mae, whose father comes from Thailand, is hoping to use her profile in the country to place a spotlight on the issue and encourage the Ministry of Public Health to make good on their intention to phase out cosmetics tests on animals.Vanessa-Mae says: “I am proud of my Thai heritage and the family roots I have in this country, so I am very encouraged to hear from Cruelty Free International that the Thai government has in principle accepted a phase-out of animal testing for cosmetics. I know that many people in Thailand are eager and impatient to hear of progress towards implementing this. It is now time for Thailand to demonstrate to the world that it is a modern, forward-thinking nation and to join the increasing number of compassionate countries around the globe showing their commitment to ending the horrific and unnecessary practice of animal testing for cosmetics.”Michelle Thew, Cruelty Free International CEO, said: “We are delighted with the open-minded response shown so far from the government in Thailand towards adopting humane methods of testing cosmetics. The intention shows that Thailand is very much in tune with the growing anti-animal testing sentiment spreading across the globe. The move away from animal experiments for cosmetics is snowballing and we hope for an opportunity to work with the Thai authorities to make this happen and help progress the issue across ASEAN.”Since the EU ban on animal cosmetics testing in 2013, Cruelty Free International has led the campaign to see similar action implemented globally, including in Thailand and the ASEAN community. In Vietnam a programme to train local scientists in alternatives to animal tests for cosmetics was funded by the organisation. In 2014, Cruelty Free International delivered a ground-breaking scientific report on the alternatives to animal tests to over one hundred governments around the globe, including Thailand. The report, ‘Meeting the Global Challenge: A guide to assessing the safety of cosmetics without using animals’ is a roadmap designed to help governments, politicians, regulators and cosmetics manufacturers worldwide switch to alternative ways of testing products. It describes the alternative approaches that are available to replace animals and shows how they are more reliable, faster and cheaper than the animal tests they replace.
Among the stranger storylines this NBA offseason is the near-constant Thibs Watch, which lights up like a Bat Signal whenever a former player of the Timberwolves coach becomes available on the free-agent market.The legend grew a bit more Monday when Luol Deng, who played for Tom Thibodeau in Chicago, reached an agreement to rejoin his old coach in Minnesota, pushing the total number of former-Bull Thibs disciples to four before training camp even starts.We’ll come back to the questions about whether this is actually a good thing, but it’s worth noting that Thibodeau and the Wolves are flirting with NBA history.With four of Thibodeau’s former players on the roster,1The Timberwolves also had four former Thibodeau pupils last year, when they featured Jimmy Butler, Taj Gibson, Derrick Rose and Aaron Brooks. the club again sits in a second-place tie for the largest collection of former pupils that a coach has ever accumulated.2Larry Brown and the 2009-10 Charlotte Bobcats also had four. The record for ex-players being reunited with a coach is five, set by Kevin Loughery and the Washington Bullets in 1986-87, according to the Elias Sports Bureau. Thibodeau could tie this mark if center Joakim Noah — reportedly on his way out of New York, perhaps through the stretch provision — eventually ends up joining the Timberwolves, too.Of course, the key difference here is that Thibodeau, unlike Loughery, also serves as Minnesota’s team president and has final say over personnel matters. None of the four TimberBulls were on the roster before Thibodeau joined the organization3Charles Jones, Dan Roundfield and Ennis Whatley had all been on the Bullets before Loughery was installed as the head coach there. in 2016. Butler was acquired via trade, while Gibson, Rose and Deng were all picked up in free agency.And to an extent, what Thibodeau is doing makes sense. Minnesota transitioned somewhat quickly from being an upstart with a pair of young, talented players to having very real expectations after the trade for Butler. Having familiar veterans around can potentially flatten a young team’s steep learning curve. In trying to change the team’s culture — especially the way Thibodeau goes about establishing his — it’s helpful to have people in place who set the tone at a previous stop. Thibodeau’s standards on defense and in practice sessions are well-known, yet not everyone is prepared to give the effort that he requires on a daily basis. Deng understands that better than most.“I came in here, and I thought no one was here,” Deng told ESPN’s Nick Friedell years ago about a practice in Chicago. “And I tried to get some shots up, and then he came down [from his office]. He put me through one of the toughest workouts I’ve ever done. That’s when I knew [that playing for him] was going to be no joke.”Deng’s comment touches on an inherent problem with the sort of continuity Thibs is keeping: The coach appears to be drawn to players he knows he can push to the limit physically.4This isn’t to blame Thibodeau for the injuries many of his key players have suffered. There isn’t any evidence to draw a direct correlation between his coaching style and the injuries of those players.This stood out to me a year ago when I was in Minneapolis for T-Wolves media day. Thibodeau was asked whether he planned to dole out minutes more conservatively, and he reeled off these numbers: Minnesota was going into the 2017-18 season with five of the NBA’s 17 players who had appeared in all 82 games the year before. His response may have been read as suggesting that he doesn’t need to dial back certain players’ minutes because they’ve shown before that they can handle the workload. (Point guard Jeff Teague, one of those who had played all 82 the year before — and then missed time with an injury this past season — was on record saying he felt the Wolves’ bench needed to play more and that Minnesota starters got tired.)Beyond that, there’s also the question of whether some of Thibodeau’s former players really fit together on the court anymore. Almost no one would turn down an opportunity to have Butler or Gibson on their team, obviously. But Rose, despite being a bright spot during the playoffs, was a controversial signing, and he took playing time from Tyus Jones, who is one of the more efficient players in the entire league. The dynamic is obviously different than it was in Chicago; this is clearly Butler’s team. But Rose and Butler never truly jelled in Chicago, and ball movement wasn’t particularly crisp in the limited moments they shared this past season. (Minnesota reversed the ball less than once per 48 minutes when that pair played together — down from almost 13 reversals per 48 minutes when Butler played without Rose, according to Second Spectrum.)5In fairness, the Timberwolves did produce a whopping 20 net rating in that limited 32-minute sample that Butler and Rose played together, according to NBA Advanced Stats, perhaps providing some hope for next season.There’s reason to believe in the Deng signing — regardless of his history with the coach — as he fills a positional need and has suffered limited wear and tear on his body the past two seasons, since the Lakers hardly used him. Deng may not be a particularly solid scorer anymore, but the Timberwolves — top four on offense but bottom 10 on defense — can likely do without his offense if he has anything left to give on D. It would seem harder to advocate for a Noah signing, should he and the Knicks part ways in the coming weeks. While the former defensive player of the year could potentially mentor Karl Anthony-Towns, who still has much to learn as a rim protector, there isn’t as natural a spot in the rotation for him, given that Towns, Gibson and Gorgui Dieng can all play center.In any case, if Noah becomes a free agent in the coming weeks, don’t be surprised if Thibs’s Bat Signal lights up the sky. At this point, it would be more surprising if it didn’t.
OSU senior forward Marc Loving (2) fistbumps with a fan during the Buckeyes’ game against Northwestern on Jan. 22. The Buckeyes lost 74-72. Credit: Nick McWilliams | Sports EditorIt’s been a rough season for the Ohio State men’s basketball team, and it could get a lot rougher after the team’s next game.The Buckeyes were embarrassed by then 11-10 Iowa in their last game, dropping a winnable game 85-72 in a contest that could have pointed the program in the right direction. OSU picked up a big win against Minnesota at home, but lost all momentum against the Hawkeyes.Simply put, the loss to Iowa was a low point for OSU. Even though the worst loss in terms of score came at the hands of Wisconsin, the Buckeyes looked totally outmatched by an Iowa team missing its leading scorer, Peter Jok. Now, with a 3-6 conference record and just nine games left to salvage anything from a season littered with missed opportunities, the Buckeyes must find a way to beat the Big Ten’s best team — Maryland. And given how OSU has played thus far, there is little to convince Buckeye fans of a possible win on Tuesday. Following the team’s loss to Northwestern, junior center Trevor Thompson expressed his views as to why the team was losing, and losing in such ugly fashion. “We have to play for Ohio State,” he said. “We have to play for the university and for each other. What happens is we start to play for ourselves and were not thinking about the team. We have to be selfless. That has to be consistent.”The Terrapins are 19-2 this season and have won six straight conference games. Highlighted by a tough defense and the dynamic scoring ability of junior guard Melo Trimble, Maryland is one of the toughest matchups OSU will have this season. After Iowa, OSU coach Thad Matta was straight to the point about what went wrong.“We’ve got to try harder,” Matta said. “We did some things defensively tonight that I’ve never, ever seen us do. And give Iowa credit, my god did they play well. We just couldn’t get the stops that we needed.”Against Maryland, OSU will have to get stops. The Terrapins are a team that might not light up the scoreboard with points, but will limit an opposing offense to an average of 65.8 points per game. By contrast, the Buckeyes average 73.4 points per game, but have suffered from a lack of output from upperclassmen like senior forward Marc Loving and redshirt junior guard Kam Williams. Although each have averaged 11.4 and 10.3 points per game, respectively, both have been wildly inconsistent.Both players have the lowest plus-minus mark of the OSU starters, as Loving has posted a 3.7 on average, while Williams averages a meager 2.9. Thompson has been one of the lone bright spots for the Buckeyes, averaging 10.5 points and 9.2 rebounds per game this season in his starting role. However, against Iowa, he failed to score in 13 minutes, and fouled out in the second half. Although a rebound for Thompson is likely against Maryland, OSU will need stronger output from Williams and Loving for the rest of the season if anything is to come for the Buckeyes. After the loss to Northwestern, Williams stood up in the locker room, and addressed the team. “We need everybody, going into a basketball game, to have the same, positive, common goal to win the game,” he said. “Not stats, not how many rebounds I can get or how many points I can get. The ultimate thing we are trying to achieve is to win basketball games. That’s why it’s a team game.”Williams might be standing up,expressing his views vocally and trying to rally the troops, but OSU has little hope if play does not improve. Maryland rolls into Columbus on Tuesday at 7 p.m. in the Schottenstein Center.Prediction: Maryland 83, Ohio State 69.
Ohio State then-junior shortstop Lilli Piper rounds third base with the intent to score against Wright State on Sep. 24. Credit: Gretchen Rudolph | For The LanternKelly Kovach Schoenly has experience in leading Ohio State to victory. Over the past six seasons as the softball head coach, she has accumulated 199 wins, including 13 wins against Top 25 opponents. However, in her tenure with the Buckeyes, she has not had a better season than the one she had last year. Ohio State had a record of 36-16, the program’s highest win total since 2010. The Buckeyes also won 14 of 22 Big Ten games this past season, but winning only two of four games in their NCAA regional.“We represented Ohio State very well. We competed with the very top teams all the way to the end,” Schoenly said. Now, the Buckeyes are preparing to try and not only match, but exceed last season’s successes. “We worked very hard,” sophomore catcher Claire Nicholson said. “I think it’s ended too early for us. I think we have a lot more coming this year.”Ohio State will have six seniors returning for the 2019 season: pitcher Morgan Ray, pitcher Katya Duvall, catcher Emily Clark, shortstop Lilli Piper, outfielder Bri Betschel and outfielder/first baseman Megan Choinacky.Piper was the major contributor for the team a season ago, leading the team with a .404 batting average, which was 48th-best in the country, 20 home runs, tied for eighth-most in the NCAA, and 58 RBI. The expectations for Piper remained the same heading into 2019, as she was named to the preseason USA Softball Collegiate Player of the Year watch list prior to the start of her senior season.With Schoenly saying that the senior class has contributed to where the team is today, Ohio State will still look a bit different than it did last season.The Buckeyes added four freshmen — outfielder Meg Otte, infielder Ashley Prange, outfielder Kaitlyn Coffman and pitcher Jessica Ross — and a transfer in sophomore Lauren Rice, who spent her freshman season at Missouri. Ohio State also added a new assistant coach in the offseason in Jordan Clark, the former volunteer assistant coach at Arkansas. “She has brought in a lot of new ideas,” Nicholson said. “We got to teach her a new culture too. It’s really great to have Jordan with us.”Schoenly said she is excited to develop a new identity this season and is excited to start again. But even with the change, Nicholson said the culture of the team will remain the same. “We have a culture that is just unbelievable,” Nicholson said. “There is definitely a way of life we like to stick to and we have a lot of things very important to us. So we get excited to share that.”Ohio State will begin its season Friday in Orlando, Florida, when the Buckeyes take on George Mason, Ole Miss, North Florida and UCF in the Friends of Jaclyn Tournament.
Two years ago, Japanese researchers Kei Kurotobi and Yasujiro Murata figured out a way to imbed a water molecule in a 60-atom fullerene (buckeyball)—they slit it open, inserted a single water molecule, then sealed it back up again, effectively trapping the water molecule inside—they called it [email protected] In this new effort, the researchers created a computer simulation which they claim shows what would happen if such a molecule were placed inside a nanotube and subjected to an electrical charge. Their efforts show, they say, that it would cause the fullerene (and water molecule) to move, in this case through a channel.David Lindley, in an article for the American Physical Society site Physics, says that the simulation the two researchers created takes into account all of the known properties of [email protected] and notes that the simulation treats the molecule as a single entity.After embedding the water molecule inside the fullerene, the researchers simulated putting the new structure inside of a carbon nanotube, essentially creating a channel to allow for movement of the fullerene along with its water molecule cargo. They then applied an electrical charge parallel to the nanotube. Doing so, the researchers found, caused the fullerene to move within the channel (and the water molecule inside to spin), carrying its cargo with it. Normally, applying an electrical charge to water molecules does not cause them to move (because they are neutrally charged)—instead a thermal driven motion known as libration occurs.In the simulation however, embedding a water molecule in a fullerene allows it to be driven through a channel using electric current, opening up the possibility of creating fullerenes that carry other chemicals through nanotubes—a process that could prove useful for applications such as delivering therapeutic drugs to ailing body parts, for example.Interestingly, the researchers found that if the charge was increased to 0.065 volts per angstrom, the direction of movement in the channel was reversed, though they can’t explain why. This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only. (Phys.org) —Researchers Baoxing Xu and Xi Chen, working at Columbia University, have created a computer simulation that shows it’s possible to manipulate the movement of a 60-atom fullerene, with a water molecule trapped inside of it, using an electrical charge. They describe their simulation and results in their paper published in Physical Review Letters. A water molecule bestows electric polarity on the fullerene sphere that surrounds it, allowing the structure to be guided by an electric field, even though it remains electrically neutral. Credit: Physics Focus / F. L. Bowles/Univ. of California, Davis Scientists build world’s smallest ‘water bottle’ Explore further © 2013 Phys.org Citation: Simulation shows it’s possible to move [email protected] using electrical charge (2013, April 22) retrieved 18 August 2019 from https://phys.org/news/2013-04-simulation-h2oc60-electrical.html More information: Electrical-Driven Transport of Endohedral Fullerene Encapsulating a Single Water Molecule, Phys. Rev. Lett. 110, 156103 (2013) prl.aps.org/abstract/PRL/v110/i15/e156103AbstractEncapsulating a single water molecule inside an endohedral fullerene provides an opportunity for manipulating the [email protected] through the encapsulated polar H2O molecule. Using molecular dynamic simulations, we propose a strategy of electrical-driven transport of [email protected] inside a channel, underpinned by the unique behavior of a water molecule free from a hydrogen-bonding environment. When an external electrical field is applied along the channel’s axial direction, steady-state transport of [email protected] can be reached. The transport direction and rate depend on the applied electrical intensity as well as the polar orientation of the encapsulated H2O molecule. Journal information: Physical Review Letters
April 24, 2008 While Paolo Soleri was in Rome for the conference on sustainability on April 15th, 2008, he also made a trip to visit “Dives in Misericordia”, the world famous church designed by architect Richard Meier. The building, completed in 2005, attracts thousands of visitors each year and has significantly changed the life of its neighborhood. [Photo & text: Matteo Di Michele] A special tour of the site was provided by the parish priest, who allowed Soleri to visit areas not open to the public. Dr. Soleri was impressed with the quality of the concrete used in the church design; to make it, cement was mixed with marble ground into dust. The design of the church is marked by the succession of white, curved concrete sails and windows that allow light into the interior. [Photo & text: Matteo Di Michele]