Google Earth search leads to gruesome ending to decades-old missing person’s case

first_imgaijohn784/iStock(GRAND ISLES, Fla.) — A man using Google Earth to have a look around his old property ended up spotting something unusual — sparking a chain of events that led to the remains of a person who disappeared two decades ago.As he scanned a pond behind the home, the man spotted a lump that appeared to be a vehicle and reached out to the property’s current resident, who then used a drone to scan the Grand Isles, Fla., property.That resident then contacted the Palm Beach County Sheriff’s Office, which confirmed it was a vehicle, it said in a statement.The sheriff’s office removed the vehicle from the pond, which they say was “heavily calcified” and had been in the water “for a significant amount of time.”“Upon removing the vehicle skeleton remains were found inside,” the sheriff’s office said.On Tuesday, authorities identified the remains as that of William Moldt, who was reported missing on Nov. 8, 1997, after leaving a nightclub, authorities said. Copyright © 2019, ABC Radio. All rights reserved.last_img read more

Arizona Diamondbacks hammer Clayton Kershaw in Los Angeles Dodgers’ 18-7 loss

first_imgPHOENIX – Clayton Kershaw had been solid in two starts since returning from the disabled list.Once the Arizona Diamondbacks started hitting the two-time Cy Young Award winner, he couldn’t stop them.Kershaw allowed seven runs in the second inning in the second-shortest outing of his career, leaving the Dodgers in a deep hole that led to an 18-7 loss to the Diamondbacks on Saturday night.“I just got hit hard tonight. I don’t know why,” Kershaw said. “I left some balls up. They got hits. You can’t really make excuses saying they found holes. They hit balls hard, they hit gaps. I just got hit hard tonight.” Hoping to shake out of an early season funk, the Diamondbacks announced before the game that they had hired Hall of Fame manager Tony La Russa as their chief baseball officer.Once it started, Arizona showed off its offensive capabilities by beating up on Kershaw (2-1).The Dodgers came storming back with a five-run sixth to pull within 9-7, but Arizona kept hitting to set team records for runs, hits in a nine-inning game (21), extra-base hits (13) and triples in an inning (3 in the second).Paul Goldschmidt was the catalyst, with two homers, two doubles, a career-high six RBIs and a team-record five runs. Chris Owings finished a single shy of the cycle, Martin Prado had three RBIs and Chase Anderson (2-0) pitched into the sixth inning for Arizona. A.J. Pollock and Eric Chavez also homered, helping the Diamondbacks emphatically end a seven-game home losing streak to Los Angeles. “We hadn’t really broken out this year and tonight we did,” Arizona manager Kirk Gibson said. “Anybody they threw at us, we were patient, got good pitches to hit and hammered them.”’The Dodgers tried to keep up even after Kershaw struggled.Yasiel Puig hit a two-run homer to set one Dodgers record, tie another and stretch his hitting streak to 16 games. Carl Crawford also hit a three-run homer and the Dodgers had 13 hits.They just couldn’t seem to keep the Diamondbacks from racing around the bases, going through five pitchers before turning to catcher Drew Butera to pitch in the eighth inning.“We just paid for our mistakes tonight,” Dodgers catcher A.J. Ellis said. “Give them a lot of credit they swung the bats extremely well. Anytime we were in the middle of the plate, they didn’t miss it. That is what good teams do. That is a good team over there.”It started in the second inning against Kershaw.Arizona followed the left-hander’s second walk of the season by pounding baseballs to the gaps, including three triples and a double.Cliff Pennington had the first triple, driving in two runs, then Pollock and Owings followed with run-scoring triples. Goldschmidt added a run-scoring double and Tuffy Gosewich and Prado had RBI singles, chasing Kershaw after 1 2-3 innings.Kershaw allowed seven runs – three more than his season total – and six hits, with three strikeouts, two walks and a balk.“It’s kind of shocking anytime he has an inning like that,” Dodgers manager Don Mattingly said. “You expect him to go seven or eight (innings) and give up two or three runs or less. If you can score you have a good chance of winning. It’s definitely not the norm with him.” Anderson won his major league debut against the Chicago White Sox last Sunday, but wasn’t quite as sharp against the Dodgers.Puig hit the first pitch he saw in the third inning well over the wall in left-center, the team-record eighth straight game he has had an extra-base hit and run batted in. It’s the first such streak of nine games in the majors since Tampa Bay’s Evan Longoria did it in 2009.Puig’s eight straight games with an RBI matched the team record held by four others, most recently Adrian Beltre in 2004.Anderson was lifted after giving up a three-run homer to Crawford and the Dodgers pulled within 9-7 on a two-run double by Andre Ethier off Evan Marshall.Anderson allowed five runs and seven hits in 5 1-3 innings.NotesArizona 2B Aaron Hill was scratched from the lineup with a sore right shoulder. … Puig has six homers and 21 RBIs during his hitting streak. … The last team to have three triples in an inning was Houston in the first inning against Washington on April 19, 2012. … Arizona RHP Josh Collmenter will start today’s series finale against the Dodgers. He is 1-0 with a 3.42 ERA in his last four starts. RHP Dan Haren, who pitched for the Diamondbacks from 2008-10, will pitch for the Dodgers after allowing three runs in seven innings.center_img Newsroom GuidelinesNews TipsContact UsReport an Errorlast_img read more

Greene Realty Group Welcomes Olympia Native Cathy Mah

first_imgSubmitted by Greene Realty GroupGreene Realty Group is proud to welcome Cathy Mah.Cathy is uniquely qualified to represent you.  A native Olympian, she knows the Thurston County community in ways far beyond your typical market analysis.Cathy has witnessed the community grow and transform from a small town centered around the State Capitol, where she once worked, into an expansive and diverse community that includes our military, higher education, healthcare, and tribal enterprises.  She understands what brings people to the area and the homes that keep people here.Cathy has worked in the private, public, and non-profit sector as the assistant to financial CEO’s, running non-profit entities, and as the office manager for the Visitor and Convention Bureau.  Everyone, from longtime residents to first time visitors to the community, recognize that Cathy is someone you can count on to be successful in Thurston County.  She pays attention to the details so that you can focus on the big decisions.Cathy and her husband, former Olympia Mayor Doug Mah, raised their daughter in Olympia.  As a parent, she understands the important considerations families must place on schools.   Cathy stays connected to the local schools through her work on the Olympia School District Education Foundation, helping to ensure all kids get the assistance they need to succeed.  She understands what families look for and the reasons why they fall in love with our neighborhoods here in Thurston County.Home buyers and sellers expect their Realtor to understand their needs, be knowledgeable of the market, and close the deal.  More importantly, you expect your Realtor to provide exceptional service, focus, and dedication.  You can count on Cathy to do this.Cathy Mah looks forward to working with you and is confident you’ll be pleased with the outcome. Facebook52Tweet0Pin0last_img read more

How Wide Receivers Are Like College Football Teams

One of my absolute favorite early “sabermetric” football studies was conducted in early 2005 by Doug Drinen, the founder of Pro-Football-Reference.com. At the time, Drinen was spending a week guest-writing football posts at the blog of a fellow professor, the economist J.C. Bradbury, and was performing innovative statistical research using the first iteration of the Pro-Football-Reference database. In those days, digitized historical football data was very difficult to come by, and Drinen’s collection — mind you, a small fraction of the current PFR database’s size — was the best on the web.As one of his experiments, Drinen made an unorthodox attempt to rank modern wide receivers relative to one another. (For what it’s worth, the conundrum of how best to rate receivers is still a problem nine years later.) His unique twist? The method he used treated receivers the same way he would, elsewhere, treat college football teams in a power-rating system such as the Bowl Championship Series (BCS) used.Drinen’s rationale was as follows:Wide Receiver is the only position where even small groups of players are actually competing against each other under nearly identical circumstances… [Two receivers] are working in the same system with the same quarterback, the same offensive line, even the same game conditions. Raw numbers probably are a good way to determine to what extent [one is better than the other]… Every season, every team has a group of 3 to 5 guys that can, for the most part, be rank-ordered by their numbers. This situation is unique to wide receivers.But how does this help us compare [receivers]? Think college football. USC didn’t play Auburn [in 2004]. So who was better? Well, you know USC was good because, among other reasons, they crushed Oklahoma, who we suspect was pretty good; they beat Texas, for example. We know Auburn was good, in part, because they beat Tennessee, Georgia, and LSU, all solid teams. While there is unfortunately no direct evidence to help us settle the Auburn/USC debate, there are piles and piles of indirect evidence. Every game played by either team, or the opponents of either team, or the opponents of those teams, serves as a tiny sliver of indirect evidence about how good USC and Auburn were. And many very intelligent people have devoted lots of their time and talent to convincing computers to assimilate all this information.So why not put this technology to work ranking wide receivers?Drinen went on to describe his system. In it, each receiver competes against his fellow teammates for receiving yardage; the degree to which one beats the other is how much he outgains him statistically (after adjusting for aging effects). When receivers change teams, they face different matchups against a different set of opponents, which help tell us about not only the receiver’s own quality, but also the relative quality of his old and new teammates. Do this for every season in NFL history, and we have a rough way to gauge how much each receiver would outgain (or be outgained by) the average NFL pass-catcher, adjusted for his strength of schedule (teammates).While doing research for my article about receiving stats and the Pro Football Hall of Fame, I replicated Drinen’s “BCS rating” — right down to the aging curve — but applied it to True Receiving Yards per game (Drinen used total yards). Here were the leaders among pass catchers who started their careers in 1950 or later:You can find the full results for this rating alongside each player’s career True Receiving Yards and With or Without You (WOWY) scores, as well as the data for the TRY per game aging curve, on GitHub. read more

Can smartphone apps diagnose illnesses No say experts

first_imgWith a barrage of smartphone health apps being launched globally — claiming to go beyond fitness or calorie checkers and spot mental illnesses or respiratory diseases — health experts stress that such digital applications can never be a replacement for a qualified, well-trained health service provider.An Australia-based digital health solution provider recently launched an app called ResApp that claims to diagnose respiratory diseases like pneumonia, croup and asthma with high accuracy through a cough into a smartphone. Also Read – ‘Playing Jojo was emotionally exhausting’Go to Apple App Store and you will find a plethora of apps claiming to diagnose depression, anxiety, schizophrenia and post-traumatic stress disorder (PTSD). There are nearly 1,500 depression-checking apps out there but according to experts, apps can at best give information or help monitor diet and health parameters but if these claim to diagnose an illness, there are serious medico-legal issues in making such a claim.“Apps may guide a patient to consult an appropriate doctor. However, an app by itself is not adequate to make a diagnosis. Diagnosis of a medical condition is made by detailed history and examination followed by investigations. This expertise is gained after several years of training and a digital app is not a replacement at all,” emphasised Dr Vipul Gupta, head, (neurovascular intervention centre) at Medanta-The Medicity. Also Read – Leslie doing new comedy special with NetflixGupta is soon going to launch an app called “Stroke and Neurointervention” — being developed with the non-profit Stroke and Neurovascular Intervention Foundation, where he is one of the founder members.The app will provide information to people about stroke awareness, prevention and treatment options. “The app will also have an emergency number to call. It will regularly update doctors about current treatments, latest advances and protocols and provide expert opinion on medical cases,” said Dr Gupta. When it comes to health apps, experts say that trust in health care cannot be created by answering merely a set of questions and getting an instant diagnosis as the variables are too high to be included in a single app.The key questions are: Is the app accredited by an agency or has the process been standardised by any council? Have double-blind clinical trials been performed on these apps for approval and do these prepare users for emergency situations? Are the people behind the apps health care providers or mere IT geeks who wish to monetise their efforts?“There is not enough evidence that such queries have been addressed when it comes to health apps. On the contrary, there is always an agreement clause which the user is made to click prior to use, absolving the app creator of any medical mishaps,” said Dr Amitabh Parti, unit head (internal medicine) at Fortis Medical Research Institute in Gurgaon.Dr Parti has come across many such tall claiming apps and found those misleading. “The efficacy of an app need to be subjected to multi-centric clinical trials and need to be assessed in varying clinical settings including individuals with many co-morbidities (more than one disease). We must realise there is no room for a redo in healthcare when it is a human life we are interfering with,” emphasises Dr Parti.Dr Rajeev Rathi, cardiologist at Max Super Specialty Hospital in the Capital, recently devised and launched an app to help a person find if he or she is suffering from a heart disease or not.Diagnosis in the field of mental health is largely clinical and questionnaires and apps at best can help with screening to help provide suggestions but not diagnosis.“It is important that applications are used for education and screening purpose and not for more and should aid in reaching experts to a larger population and make accessibility easier,” elaborates Dr Samir Parikh, director, department of mental health and behavioural sciences, at Fortis Healthcare.In a recent report in the scientific journal Nature, psychiatrist John Torous who chairs the American Psychiatric Association’s Smartphone App Evaluation Task Force, said: “Right now, it [apps] almost feels like the Wild West of health care.”last_img read more

PostGIS extension pgRouting for calculating driving distance Tutorial

first_imgpgRouting is an extension of PostGIS and  PostgreSQL geospatial database. It adds routing and other network analysis functionality. In this tutorial we will learn to work with pgRouting tool in estimating the driving distance from all nearby nodes which can be very useful in supply chain, logistics and transportation based applications. This tutorial is an excerpt from a book written by Mayra Zurbaran,Pedro Wightman, Paolo Corti, Stephen Mather, Thomas Kraft and Bborie Park titled PostGIS Cookbook – Second Edition. Driving distance is useful when user sheds are needed that give realistic driving distance estimates, for example, for all customers with five miles driving, biking, or walking distance. These estimates can be contrasted with buffering techniques, which assume no barrier to travelling and are useful for revealing the underlying structures of our transportation networks relative to individual locations. Driving distance (pgr_drivingDistance) is a query that calculates all nodes within the specified driving distance of a starting node. This is an optional function compiled with pgRouting; so if you compile pgRouting yourself, make sure that you enable it and include the CGAL library, an optional dependency for pgr_drivingDistance. We will start by loading a test dataset. You can get some really basic sample data fromhttps://docs.pgrouting.org/latest/en/sampledata.html. In the following example, we will look at all users within a distance of three units from our starting point—that is, a proposed bike shop at node 2: SELECT * FROM pgr_drivingDistance( ‘SELECT id, source, target, cost FROM chp06.edge_table’, 2, 3); The preceding command gives the following output: As usual, we just get a list from the pgr_drivingDistance table that, in this case, comprises sequence, node, edge cost, and aggregate cost. PgRouting, like PostGIS, gives us low-level functionality; we need to reconstruct what geometries we need from that low-level functionality. We can use that node ID to extract the geometries of all of our nodes by executing the following script: WITH DD AS ( SELECT * FROM pgr_drivingDistance( ‘SELECT id, source, target, cost FROM chp06.edge_table’, 2, 3 )) SELECT ST_AsText(the_geom)FROM chp06.edge_table_vertices_pgr w, DD dWHERE w.id = d.node; The preceding command gives the following output: But the output seen is just a cluster of points. Normally, when we think of driving distance, we visualize a polygon. Fortunately, we have the pgr_alphaShape function that provides us that functionality. This function expects id, x, and y values for input, so we will first change our previous query to convert to x and y from the geometries in edge_table_vertices_pgr: WITH DD AS ( SELECT * FROM pgr_drivingDistance( ‘SELECT id, source, target, cost FROM chp06.edge_table’, 2, 3 ))SELECT id::integer, ST_X(the_geom)::float AS x, ST_Y(the_geom)::float AS y FROM chp06.edge_table_vertices_pgr w, DD dWHERE w.id = d.node; The output is as follows: Now we can wrap the preceding script up in the alphashape function: WITH alphashape AS ( SELECT pgr_alphaShape(‘ WITH DD AS ( SELECT * FROM pgr_drivingDistance( ”SELECT id, source, target, cost FROM chp06.edge_table”, 2, 3 ) ), dd_points AS( SELECT id::integer, ST_X(the_geom)::float AS x, ST_Y(the_geom)::float AS y FROM chp06.edge_table_vertices_pgr w, DD d WHERE w.id = d.node ) SELECT * FROM dd_points ‘)), So first, we will get our cluster of points. As we did earlier, we will explicitly convert the text to geometric points: alphapoints AS ( SELECT ST_MakePoint((pgr_alphashape).x, (pgr_alphashape).y) FROM alphashape), Now that we have points, we can create a line by connecting them: alphaline AS ( SELECT ST_Makeline(ST_MakePoint) FROM alphapoints)SELECT ST_MakePolygon(ST_AddPoint(ST_Makeline, ST_StartPoint(ST_Makeline))) FROM alphaline; Finally, we construct the line as a polygon using ST_MakePolygon. This requires adding the start point by executing ST_StartPoint in order to properly close the polygon. The complete code is as follows: WITH alphashape AS ( SELECT pgr_alphaShape(‘ WITH DD AS ( SELECT * FROM pgr_drivingDistance( ”SELECT id, source, target, cost FROM chp06.edge_table”, 2, 3 ) ), dd_points AS( SELECT id::integer, ST_X(the_geom)::float AS x, ST_Y(the_geom)::float AS y FROM chp06.edge_table_vertices_pgr w, DD d WHERE w.id = d.node ) SELECT * FROM dd_points ‘)),alphapoints AS ( SELECT ST_MakePoint((pgr_alphashape).x, (pgr_alphashape).y) FROM alphashape),alphaline AS ( SELECT ST_Makeline(ST_MakePoint) FROM alphapoints)SELECT ST_MakePolygon( ST_AddPoint(ST_Makeline, ST_StartPoint(ST_Makeline)))FROM alphaline; Our first driving distance calculation can be better understood in the context of the following diagram, where we can reach nodes 9, 11, 13 from node 2 with a driving distance of 3: With this,  you can calculate the most optimistic distance route across different nodes in your transportation network. Want to explore more with PostGIS, check out PostGIS Cookbook – Second Edition and get access to complete range of PostGIS techniques and related extensions for better analytics on your spatial information. Read Next Top 7 libraries for geospatial analysis Using R to implement Kriging – A Spatial Interpolation technique for Geostatistics data Learning R for Geospatial Analysislast_img read more

Curio Collection by Hilton opens new gem in Costa Rica

first_img Posted by Share << Previous PostNext Post >> SAN JOSE, COSTA RICA — Nearly 100 years since its original opening, the Gran Hotel Costa Rica, Curio Collection by Hilton has gotten a modern up-do, complete with a rooftop piano bar and indoor gardens.Originally opened in October 1930, the newly redesigned hotel has opened its doors in the heart of San José, Costa Rica as part of the Curio Collection by Hilton portfolio. As Hilton’s 16th property in Central America, it joins more than 50 other Curio Collection hotels and resorts that have been handpicked for their unique character.Gran Hotel Costa Rica, which overlooks the National Theatre, will be a central focus in San Jose’s dining scene with its on-property Cultura 5 restaurant and world-class piano bar, where guests can sample a wide selection of whiskey and gin from around the world.Its 79 redesigned guestrooms now boast organic bathroom amenities, complimentary Wi-Fi, 49-inch televisions, ergonomic workspaces and walk-in showers. Moreover, guests who opt for a suite can enjoy 24-hour butler service as well as access to the hotel’s Executive Lounge featuring complimentary nightly hors d’oeuvres and spirits.More news:  Sunwing ready to launch Mazatlán-Quebec City direct this winterFor more information go to http://curiocollection3.hilton.com/en/hotels/costa-rica/gran-hotel-costa-rica-curio-collection-by-hilton-SJOCUQQ/index.html. Travelweek Group center_img Monday, July 23, 2018 Tags: Costa Rica, Hilton Curio Collection by Hilton opens new gem in Costa Ricalast_img read more