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Willis bros score 43, Fortuna advances; Hoopa surrenders 4th quarter lead, falls

first_imgThe Willis twins, Bradley and Donald, combined for 43 points as the Huskies put to bed their North Coast Section title loss with a first-round NorCal win, holding off a comeback attempt by visiting No. 10 Liberty Ranch in the closing minutes of Tuesday night’s 85-77 victory.No. 7 Fortuna (30-2) will continue its pursuit of a Division-III California Interscholastic Federation State Championship (NorCals) on Thursday when it hosts No. 15 Foothill.Foothill (24-8), a Palo Cedro-based team, upset …last_img read more

Raiders’ Jacobs departs during opening drive

first_imgRaiders running back Josh Jacobs left during the opening drive Sunday against the Green Bay Packers after a 42-yard run.Jacobs had 53 yards on three carries during the game-opening drive which resulted in a 45-yard field goal by Daniel Carlson.Green Bay took a 7-3 lead on its opening drive on a 21-yard pass from Aaron Rodgers to running back Aaron Jones.When the Raiders took the field for their second possession, Jacobs was still in the locker room. It was reported on CBS that Jacobs was …last_img read more

Safe Storage of Nuclear Waste

first_imgIn my seemingly endless desire to dive headfirst into controversy, let me return to the issue of nuclear waste storage — something I last wrote about in this column five years ago, in January, 2009. This is a relevant issue today because of the pending closure of Vermont’s only nuclear power plant.Entergy has announced that Vermont Yankee will close around the end of this year — largely a victim of low-cost natural gas. The big question now is how long it will be until the plant can be decommissioned and what to do with the large quantities of radioactive waste that are being stored onsite. Alex is founder of BuildingGreen, Inc. and executive editor of Environmental Building News. In 2012 he founded the Resilient Design Institute. To keep up with Alex’s latest articles and musings, you can sign up for his Twitter feed. RELATED ARTICLES On the Closure of Vermont YankeeThoughts on Nuclear PowerThoughts on Nuclear Power – Part 2Fukushima and Vermont YankeeFukushima’s No-Entry ZoneNuclear Meltdown in Japan and Our Energy FutureBuilding Resilience for a ‘Close Encounter’ with Disaster A better storage optionI believe a much better solution for long-term storage of high-level radioactive waste is to bury it deep under the seabed in a region free of seismic activity where sediment is being deposited and the seafloor getting thicker. In such a site, the level of protection would increase, rather than decrease, over time.In some areas of seabed, more than a centimeter of sediment is being deposited annually. Compacted over time, such sediment deposition could be several feet in a hundred years, and in the geologic time span over which radioactive waste is hazardous, hundreds to thousands of feet of protective sedimentary rock would be formed.The oil and gas industry — for better or worse — knows a lot about drilling deep holes beneath a mile or two of ocean. I suspect that the deep-sea drilling industry would love such a growth opportunity to move into seabed waste storage, and I believe the Nuclear Regulatory Commission or other agencies could do a good job regulating such work.The waste could be placed in wells extending thousands of feet below the seabed in sedimentary rock in geologically stable regions. Let’s say a 3,000-foot well is drilled beneath the seabed two miles beneath the surface of the ocean. Waste could be inserted into that well to a depth of 1,000 feet, and the rest of the well capped with 2,000 feet of concrete or some other material. Hundreds of these deep-storage wells could be filled and capped, and such a sub-seabed storage field could be designated as forever off-limits.Industry or the Department of Energy would have to figure out how to package such waste for safe handling at sea, since the material is so dangerous, but I believe that is a surmountable challenge.For example, perhaps the radioactive waste could be vitrified (incorporated into molten glass-like material) to reduce leaching potential into seawater should an accident occur at sea, and that waste could be tagged with radio-frequency emitters so that any lost containers could be recovered with robotic submarines in the event of such accidents.While I’m not an expert in any of this, I’ve looked at how much money taxpayers and industry have already poured into Yucca Mountain — about $15 billion by the time the Obama Administration terminated federal funding for it in 2010, according to Bloomberg News — and the estimates for how much more it would take to get a working waste storage facility of that sort operational had risen to about $96 billion by 2008, according to the U.S. Department of Energy at the time. I believe that sub-seabed storage would be far less expensive. Rethinking long-term storage of high-level radioactive wasteFor more than 30 years, the nuclear industry in the U.S. and nuclear regulators have been going down the wrong path with waste storage — seeking a repository where waste could be buried deep in a mountain. Nevada’s Yucca Mountain was the place of choice until… it wasn’t.Any time we choose to put highly dangerous waste in someone’s backyard, it’s bound to cause a lot of controversy, even in a sparsely populated, pro-resource-extraction place like Nevada. NIMBY opposition can be boosted by people in powerful places, and in the case of Yucca Mountain, Nevada senator Harry Reid has played such a role. (He has been the Senate Majority Leader since 2006 and served prior to that as the Minority Leader and Democratic Whip.)Aside from NIMBYism, the problem with burying nuclear waste in a mountain (like Yucca Mountain) or salt caverns (like New Mexico’s Carlsbad Caverns — an earlier option that was pursued for a while in the 1970s) is that the maximum safety is provided at Day One, and the margin of safety drops continually from there. The safety of such storage sites could be compromised over time due to seismic activity (Nevada ranks fourth among the most seismically active states), volcanism (the Yucca Mountain ridge is comprised mostly of volcanic tuff, emitted from past volcanic activity), erosion, migrating aquifers, and other natural geologic actions.center_img But it’s radioactive waste storage I’ll cover here. Should nuclear power be part of our energy future?I used to be a firm opponent to nuclear power, and I am still opposed to the form of nuclear power we have today. But my position is softening. Should nuclear power plants be developed that have failsafe, passive cooling systems that would prevent a meltdown even if sabotaged from the inside (I don’t know if that would be possible), if the economics of such plants could work, and if we can shift to safer long-term storage, I could get behind a rebirth of the nuclear power industry.Those are big “ifs,” and I have doubts that they will be satisfied, but I recognize that nuclear power is largely free of carbon emissions — unlike natural gas, oil, and, especially, coal. We need to dramatically reduce carbon emissions if we are to prevent catastrophic global warming, according to leading scientists.A starting point for the nuclear industry in building new support for nuclear power should be re-examining sub-seabed waste storage, which could be far safer and far less expensive than other approaches being focused on most actively today. Terrorism risks with nuclear powerMy concern with nuclear power has always been more about terrorism than accidents during operation or storage. I continue to worry that terrorists could gain entry to nuclear plant operations and sabotage plants from the inside — disabling cooling systems and causing a meltdown.There is also a remote risk of unanticipated natural disasters causing meltdowns or radiation release, as we saw so vividly with the Fukushima Power Plant catastrophe in Japan in March, 2011.last_img read more

The Emergence of AI Driving Revenue-related KPIs

first_imgKris BondiChief Marketing Officer AI: How it’s Impacting Surveillance Data Storage Some form of Artificial Intelligence (AI) project can now be found in most companies, with the remainder seeming to at least have several projects in a planning stage. If Marc Andreessen’s now famous “software will eat the world” Wall Street Journal essay was on its way to being true when he wrote it seven years ago, the “eats the world” statement is equally true today regarding AI.AI, or at least something claiming to be AI, can be seen throughout the consumer and business landscape. Are the recommendation engines that power Amazon and Netflix suggestions AI? They seem to be. In Netflix’s case, they made a move a few years ago to have their “you might like” recommendation based on analysis of content you’ve liked, instead of only on what you’ve watched. It’s up to the Netflix subscribers to determine if this made their recommendations sharper. On the Amazon front, in 2016, the company open sourced the AI framework of its recommendation system through a project named DSSTNE.While there is machine learning involved in these recommendation engines, because they are so ubiquitous we rarely think about what is behind them. To most people, they are recommendation engines and not much thought goes into dissecting exactly how they work. This is the normal cycle for AI’s application into an existing technology. Often AI is most valuable when it is an ingredient, enhancing existing products and technologies.To this point, as the current wave of AI-related innovation has increased, not surprisingly, the first applications have been related to new products or product enhancements. AI assistants, chatbots, and AI’s contributions to autonomous cars may be the most discussed. Investment in AI technologies supports this focus on innovation with the Brookings Institute reporting that investment in self-driving cars alone equaled $80 billion in the 2014-2017 timeframe, with even more substantial investment expected in 2018.Business strategists can tell you AI has been sending waves of change throughout entire organizations for decades, and by extension, throughout our lives. For example, predictive analytics companies have benefited greatly from machine learning to assist organizations in a broad array of areas from credit scoring and fraud detection to determining which leads in a database are most likely to provide higher lifetime value.Innovation fueled by AI is nothing new. AI projects have been active for decades, officially beginning at Dartmouth College in 1956. It’s not that they’ve been hiding away in academia all this time. It’s a common practice that as AI projects mature, they are folded into technology. The recommendation engine examples show this. Following this reasoning, it’s likely that in the near future, we’re likely not to hear when AI is present in a technology. For example, today, you are likely to read how AI enables advanced fraud detection or improved chatbots. In the not too distant future, it will just be assumed that anytime predictive analytics and proactive personalization is needed the best of breed will include AI.AI has proven effective in breaking technology barriers. What would have seemed impossible even five years ago is now a reality. Take the example of product and content personalization. Not too long ago, digital personalization was only possible on the internet, where tracking past visits and purchases were used to deliver more personalized experiences. If the user of a mobile or IoT device desired a “personalized” experience, they needed to set their preference themselves, a task that even with the best of intentions often went incomplete. Jump to today, the ability to understand what end users are doing in the physical world throughout their day is now used to proactively predict the most appropriate experience to deliver to the end user. The results are increased usage, decreased churn, and higher conversion rates. This illustrates the next stage for AI – KPI multiplier.As the inclusion of AI becomes more prevalent, how it is seen in organizations has evolved once more. Yes, it will continue to be a driving force of innovation, but more is being asked of it. This is a good thing for both the development and business sides of the organization. A project without a clear connection a company’s strategic vision or existing core business is in danger of being a distraction inside and outside the organization.When measuring how project efforts match with stated results, KPIs are one of the best tools. Well-defined corporate KPIs with department and individual KPIs rolling up to them can keep a company: focused on its quarterly numbers; its product roadmap on track; or a long-term strategic initiative moving forward. So how can AI be assimilated into the KPI process?There are two approaches to leverage AI to improve KPIs – making the most of what you have and developing with purpose.The first is utilizing existing AI projects. We’ve all seen cool technology that in hindsight begs the question: “but how can we use it?” Begin with an innovation audit. Take inventory of what is being developed or has been developed. What does this enable? And, how does it tie in with the company’s current KPIs and long-term goals? This will likely require someone other than the developer or project manager to help with this assessment. I suggest a face-to-face or web conference to discuss the capabilities and goals of the project. This is a positive communication about how the project can be leveraged. Communication is critical. You are looking for existing and new ways to leverage innovation, not to assess the value an individual brings to the organization.The second approach for leveraging AI to improve KPIs starts at the planning stage. Many companies have an understanding they should embrace AI projects, but they wonder with which ones to start. Begin by first looking at your company’s key KPIs, particularly your company’s revenue-related KPIs. Now, ask: What can AI do to improve these KPIs? Looking at the real-world predictions example above, there are several KPIs that may be addressed. Increased time using an app supports a revenue KPI if the app developer receives revenue from in-app purchases. Delivering content that is more relevant to the user based on granular personas supports a conversion rate KPI, which is often used to measure users moving from freemium to premium subscriptions. And, reaching a user at the right moment in their day makes overall usage more likely and reduces the chances the user will churn, which obviously is a closely watched revenue impacting KPI.For organization’s who look at AI as a vital part of their products and how their business operates, it is likely to be not only a KPI multiplier, but soon a revenue multiplier. Related Posts What it Takes to Build a Highly Secure FinTech …center_img Role of Mobile App Analytics In-App Engagement Neura CMO Kris Bondi is a seasoned marketing professional with more than 20 years of international marketing experience. Kris brings her history of creating hockey stick adoption, prominent brand reputation, and substantial mindshare to her role.Prior to joining Neura, Kris served as Vice President of Global Marketing for Iron.io, a leader in the serverless computing space. Her background includes deep expertise in technology marketing with previous stints at Moka5, TIBCO and Mashery. While at CNW Consulting, Kris advised global brands on GTM and strategic positioning. Her clients included Visa, Starbucks, NEC and Qlik.Kris holds a BA in communications rhetoric and political science from the University of Pittsburgh. Follow the Pucklast_img read more

Three killed in Panchayat board formation at Bengal’s Amdanga


IPL 2011: Chennai Super Kings vs Delhi Daredevils- CSK win by 18 runs

first_imgSkipper Mahendra Singh Dhoni and Subramaniam Badrinath scored half-centuries in Chennai’s 18-run win over Delhi during an IPL match at the MA Chidambaram Stadium in Chepauk, Chennai, on Thursday. Score | PhotosChasing 177, Delhi could only manage to score 158/6 against a superior Chennai side in this 56th IPL match.Keeping in mind the massive 177-run target Delhi openers Naman Ojha and David Warner got off to a quick start. But, the quick start came to an abrupt halt in the third over when Ojha took the aerial route off Chennai paceman Albie Morkel. The ball took a long loop only to land in the safe hands of Shadab Jakati at mid-off when the team total was 30. Ojha scored 25.Soon new man Colin Ingram too was back in the dugout after a superlative catch by Dwayne Bravo off R Ashwin saw him get out on 7. And Delhi were down to 54/2 on the first ball of the 8th over.Bravo not just showed his prowess in the field but also performed with the ball. He got rid of Delhi opener David Warner. Warner tried to pull Bravo, but Murali Vijay cut short his stroke by taking a neat catch in the deep. Warner departed on 21 and Delhi lost their third wicket on 64 in the 10th over.On the first ball of the 16th over, a turner off R Ashwin uprooted Venugopal Rao’s off stump and he fell for 30 and Delhi were down to 107/4.Bravo struck again in the 18th over and got rid of captain James Hopes, leading the side in the absence of captain Virender Sehwag, cheaply even as Delhi were reduced to 127/5 and were looking down the barrel.advertisementIn the last over Delhi Andrew McDonald fell to Doug Bollinger and Delhi were 150/6 with four balls remaining in their innings.Chennai inningsSkipper Mahendra Singh Dhoni and Subramaniam Badrinath scored half-centuries as Chennai posted a commanding 176/4 against Delhi.Earlier, Chennai captain M.S. Dhoni won the toss and elected to bat in the 56th IPL match of the season. But Chennai failed to bag an early advantage as Delhi paceman Irfan Pathan got rid of opener Michael Hussey in the sixth ball of the innings trapping him leg-before when Chennai were batting 6.Post that setback, Chennai opener Murali Vijay and left-hand batsman Suresh Raina tried to get the innings back on track, but in the sixth over Delhi paceman Varun Aaron, touted as the fastest bowler in the country, scalped Raina on 14 with Pathan performing the final rites at long on. Chennai lost their second wicket on 41.Later Murali Vijay and S Badrinath got going against the Delhi attack, but their partnership too did not last long as Delhi medium-pacer Ajit Agarkar despatched Vijay in the 11th over as Chennai lost their third wicket on 68. Vijay scored 35 off 33 balls.Then Chennai skipper M.S. Dhoni hit a couple of good shots towards the fence to raise his team’s tempo.Soon Dhoni and S Badrinath got going against Delhi bowlers, thwarting their attack, stealing the runs and putting those odd ones past the boundary. Gradually and steadily the Chennai run rate started to increase.Finally, S Badrinath was run out on 55 in a bid to increase the run rate in the last over off Irfan Pathan. But, the damage had already been done as Badrinath and skipper M.S Dhoni scored 96 runs for the fourth wicket.Post Badrinath’s dismissal, Dhoni hit two over the fence shots even as the last over fetched 17 runs and Chennai ended their innings on 176/4. Dhoni remained unbeaten on 63.last_img read more

Tomasa Del Real On Bringing Her Take On Reggaetón NeoPerreo To Coachella


VW Tarok teases us with another pickup truck concept in New York


Googles Detective Pikachu Playmoji bring Pokemon to life on your phone


Honda Mean Mower is 200 horsepower of bladed terror

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