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Interweave To Launch Two More eMags Says Digital Editions Are Profitable

first_imgInterweave is launching two new eMags-SpinKnit, which launches today and as is available at the Interweave store-and Handcrafted Jewelry Studio, which debuts Dec. 6. The two eMags join digital editions Sockupied and Quilting Arts in Stitches, which Interweave launched earlier this year. The eMags run on Adobe’s Air platform and can be downloaded directly to the user’s MAC or PC computer. Each edition is available for $14.97 and features scrolling slide shows, animation, “how-to-information” and social components. SpinKnit features 15 videos totaling one hour of viewing time, while Handcrafted Jewelry Studio will have more than 40 minutes of video and eight step-by-step projects. Interweave isn’t sharing specifics on the success of the eMags to date but the company plans to launch 18 more in 2011. “Yes, the eMags are profitable for us,” says senior vice president and publisher John Bolton. “We decided to create them for the computer first because we can provide the readers with a superior experience. As the tablet devices gain market share and technology evolves, we expect to adapt our eMags for tablet devices in 2011. That said, we know that more than 95 percent of our existing customer base has access to a computer and can read our eMag.”last_img read more

Wilmingtons Carpenters Local 339 Donates 500 To Helmets To Hardhats Veteran Group

Wilmingtons Carpenters Local 339 Donates 500 To Helmets To Hardhats Veteran Group

first_imgWILMINGTON, MA — In recognition of Veteran’s Day, Massachusetts building trades unions, including Wilmington-based Carpenters Local 339, honored local veterans this week and raised more than $50,000 for life-changing career pathways program, Helmets to Hardhats.Helmets to Hardhats is a national nonprofit that connects National Guard, reserve and transitioning active-duty military members with meaningful, family-sustaining careers in the union building trades. Carpenters Local 339 donated $500 to the group.The Massachusetts Building Trades Council is a longtime supporter of the program, which has placed more than 575 military veterans in union construction jobs statewide.“We are so proud to support Helmets to Hardhats in providing career opportunities for our valued veterans. With these donations, we want to thank these courageous men and women for their service and send a clear message that there is a place for them with our unions,” said Frank Callahan, president of the Massachusetts Building Trades Council.The Massachusetts building trades unions represent the largest workforce in the state, and they’re focused on creating middle-class employment opportunities for families across the commonwealth, including for returning veterans. 75,000 men and women have great jobs and benefits with the union building trades, and nearly a quarter of a million children, spouses, and workers are covered by their high-quality union health plans. And through Build a Life and Building Pathways, the unions are creating new avenues of economic opportunity for women and people of color so that everyone can benefit from well-paying careers in the union construction trades.Helmets to Hardhats Executive Director Darrell Roberts recognized the generosity of the building trades unions and union contractors.“Thanks to the generous contributions of the Massachusetts building trades unions and union contractors, we’re able to ensure that our returning veterans have meaningful, well-paying careers in the union building trades. Their support has allowed us to do even more to support the commonwealth’s bravest,” said Roberts.Organizers attributed much of the partnership’s success to its focus on creating new employment opportunities, and ongoing career advancement, through extensive training. The Massachusetts building trades unions spent $48 million last year alone to ensure workers at every phase of their career had free hands-on training.(NOTE: The above press release via Carpenters Local 339.)Like Wilmington Apple on Facebook. Follow Wilmington Apple on Twitter. Follow Wilmington Apple on Instagram. Subscribe to Wilmington Apple’s daily email newsletter HERE. Got a comment, question, photo, press release, or news tip? Email wilmingtonapple@gmail.com.Share this:TwitterFacebookLike this:Like Loading… RelatedSTUDENT SPOTLIGHT: Wilmington’s Meagan Pennie Receives Scholarship From Sheet Metal Workers Local 17In “Education”WASHINGTON TO WILMINGTON: Senator Markey Says FCC Vote Imperils Community TelevisionIn “Government”Wilmington’s iPods For Wounded Veterans Travel To Arizona, Partner With Teamsters To Give Gifts To VeteransIn “Community”last_img read more

Sophie Turner makes Shocking confession about being in love with Dark Phoenix

first_imgSophie TurnerReutersSophie Turner has been revealing a lot about her time on the sets of X-Men: Dark Phoenix lately.Her recent revelation could make fiancé Joe Jons a little jealous. Reportedly the Game of Thrones star joked that she is “in love” with on-screen boyfriend Tye Sheridan (aka Scott Summers aka Cyclops)… and that the Jonas brother is perfectly understanding of the whole situation, of course.”I mean, we’re in love,” Turner told Entertainment Tonight, with her co-star adding: “I’m in love with Soph.””And I’m completely in love with him,” the Jean Grey actress added, revealing: “[Joe] knows, he’s fine with it.”Wow, Joe Jonas sure seems like a pretty good fiancé. Apparently, Turner did gush genuinely about Sheridan, adding: “We’re like, such good friends, and I’ve always said to Tye, he’s my best onscreen boyfriend I’ve ever had.”And it’s just so nice to have such a wonderful relationship with someone that you’re sharing such intimate scenes with. It’s really important to have that connection.”  X Men: Dark PhoenixInstagramSophie Turner also opened up about working with director Bryan Singer and how it wasn’t a completely pleasant experience as well as her on-=set confrontation with a fellow co-star on the set of Dark Phoenix. But the confession that got the Sansa Stark actress in a lot of trouble with fans was when she confessed that she had revealed the ending of the final season of Game of Thrones to her friends. The actress had to clarify what she meant. “I was on Twitter and saw these headlines like ‘Twitter followers are being so mean to Sophie Turner after reports she told her friends the ending of Game of Thrones’,” she said.”The truth is I’ve only told two people. It’s not that many. To be honest, I don’t read many of the mentions on Twitter because there’s normally quite a bit of hate. Everything I say will always have some negative reactions so I’m not surprised.The final season of Game of Thrones will air in April. We can’t wait for the final season of Game of Thrones.last_img read more

Farmers agitation sparks milk crisis in Mumbai

Farmers agitation sparks milk crisis in Mumbai

first_imgThousands of milk farmers across Maharashtra launched an agitation for their various demands early on Monday, hitting supply of fresh milk across big and small cities in the state.Scores of milk tankers bound for major cities including Mumbai, Pune, Nagpur, Nashik and others were blocked in different parts of the state, raising the spectre of milk shortage.As the agitation continued, around a dozen milk tankers each from Nashik and Kolhapur were despatched for Mumbai under armed police escorts, while the Opposition Congress and Nationalist Congress Party and others threw their weight behind the agitators.The farmers’ groups, led by Swabhimani Shetkari Sanghatana (SSS) and Maharashtra Kisan Sabha (MKS), are demanding a subsidy of Rs 5 per litre milk, waiver of goods and services tax (GST) on butter and milk powder among others.Tankers laden with lakhs of litres of milk were waylaid and emptied on the roads in Pune, Nashik, Kolhapur, Sangli, Beed, Palghar, Buldana, Washim, Aurangabad and Solapur, while at least one tanker was torched near Amravati en route to the big cities, which are totally dependent on supplies from the rural areas.In other places, activists performed the symbolic ‘dudh-abhishek’ with milk in major temples in Pandharpur, Pune, Beed, Nashik, Ahmednagar and other places to lodge their protest even as the state government warned of strict action.At some places, top leaders like SSS president and MP Raju Shetti and MKS president Ajit Nawale took to the streets to block the milk tankers while several big and small milk cooperatives announced support to the farmers’ agitation.”The state government has fixed the procurement price of Rs 27 per litre but the farmers get barely Rs 17 per litre. We are demanding a direct subsidy of Rs 5 per litre to the farmers, as provided in Goa, Karnataka and Kerala.”With a drop in the rates of skimmed milk powder, even the milk cooperatives are facing a tough time,” Shetti told the media.Nawale said the government’s announcement of Rs 50 per kg subsidy for milk powder may not benefit the farmers since the prices of milk powder have come down in the international market, but would be a boon to private companies which convert milk into powder.As the issue was taken up in the Maharashtra Legislature in Nagpur, animal husbandry and dairy development minister Mahadev Jankar assured that the cities would not suffer any milk shortages.He said that Mumbai, which requires over seven million litres fresh milk daily, has adequate stocks of 15 days. Most urban centres together account for over 10 million litres, with Pune and surroundings needing 1.3 million daily.”We are trying to resolve the issue. If anybody attempts to break the law, they will be dealt with sternly,” Jankar warned the farmers, and later said the government was prepared to give Rs 3 per litre subsidy.Minister of State for Cooperation Subhash Deshmukh accused the protesting leaders of deliberately “misleading” milk producers with the agitation.”Their sole objective seems to be to embarrass the state government and harass the milk producers,” he said.On reports that the government planned to “import” milk from Gujarat and Karnataka to meet the requirements, Shetti shot back that it was a ploy to break the farmers agitation and they would launch a satyagraha against the state’s move.According to official figures, Maharashtra has approximately 15,000 cooperative dairy societies, 85 cooperative dairy unions, 98 milk processing plans, 156 chilling centres and 192 cold storages including 167 in the private sector.last_img read more

Turning a new leaf

Turning a new leaf

first_imgHamsa Moily’s book Homecoming-poems was released on Wednesday by politician and author Shashi Tharoor.The book which consists of a collection of 30 poems is published by Rupa Publications and includes a foreword by diplomat and successful littérateur Pavan Kumar Varma.The poems in the book speak about the mysteries of life and death; about love that is seamless and unconditional, about a yearning to turn a new leaf, a new life. These poems come from music through silences, which is nothingness, and from this nothingness these poems have arrived. Also Read – ‘Playing Jojo was emotionally exhausting’Commenting on the book, the minister of oils and gas, Veerappa Moily, father of Hamsa Moily said, ‘I am not here to talk about her book as a politician or a father, I speak from the perspective of an author. Hamsa’s poems reflect a certain purity which is rarely seen in the poems these days, her poems are devoid of the sense of self and pride which is very difficult for an author. I, myself have never been able to detach from my sense of self in my works.’ Also Read – Leslie doing new comedy special with NetflixThe poet, on the occassion, read out two of her poems including the one titled, Homecoming from the book and said, ‘I have written these poems in 30 days. Enclosed within the four walls of my room, these poems arose from my loneliness, from nothingness, from silence.’Hamsa moily is a Bharatanatyam dancer and an experimental choreographer. She has acted in a Tamil film, Shringaram, based on the lives of Devadasis.She has recently choreographed a Hindi play for children, Kyun Kyun Ladki, inspired by Mahashweta Devi’s book by the same name, and an English play for children written by Rabindranath Tagore. She describes herself as a seeker and a practitioner of yoga. If you are a literature lover, grab a copy of the book soon.last_img read more

Reinforcement learning model optimizes brain cancer treatment reduces dosing cycles and improves

Reinforcement learning model optimizes brain cancer treatment reduces dosing cycles and improves

first_imgResearchers at MIT have come up with an intriguing approach to combat ‘Glioblastoma’- a malignant tumor of the brain/spinal cord- using machine learning techniques. By reducing the toxic chemotherapy and radiotherapy that is involved in treating this cancer, the researchers aim to improve the quality of life for patients, while also reducing the various side effects caused by the former using Reinforcement learning techniques. While the prognosis for adults is no more than 5 years, medical professionals try to shrink the tumor by administering drug doses in safe amounts. However, the pharmaceuticals are so strong that patients end up suffering from their side effects. Enter Machine Learning and Artificial Intelligence to save the day. While it’s no hidden truth that machine learning is being incorporated into healthcare on a huge scale, the MIT researchers have taken this to the next level. Using Reinforcement Learning as the Big Idea to train the model Media Lab researcher Gregory Yauney will be presenting a paper next week at the 2018 Machine Learning for Healthcare conference at Stanford University. This paper details how the MIT Media Lab researchers have come up with a model that could make dosing cycles less toxic but still effective. Incorporating a “self-learning” machine-learning technique, the model studies treatment regimens being used presently, and iteratively changes the measurements. In the end, it finds an ideal treatment design suited to the patient. This has proven to reduce the tumor sizes to a degree almost identical to that of original medical regimens. The model simulated trials of 50 patients and designed treatments that either reduced dosages to twice a year or skipped them all together. This was done keeping in mind that the model has to shrink the size of the tumor but at the same time ensuring that reduced dosages did not lead to harmful side effects. The model is designed to used reinforced learning (RL)- that comprises artificially intelligent “agents” that complete “actions” in an unpredictable, complex environment to reach the desired outcome. The model’s agent goes through traditionally administered regimens. It uses a combination of the drugs temozolomide (TMZ) and procarbazine, lomustine, and vincristine (PVC), administered to the patients  over weeks or months. These regimens are based on protocols that have been used clinically for ages and are based on both, animal testing and various clinical tests and scenarios. The protocols are then used by Oncologists to predict how many doses the patients have to be administered based on weight. As the model explores the regimen, it decides on one of the two actions- Initiate a dose Withhold a dose If it does administer a dose, it has to make the decision if the patient needs the entire dose, or only a portion. After a decision is taken, the model checks with another clinical model to see if the tumor’s size has changed or if it’s still the same. If the tumor’s size has reduced, the model receives a reward else it is penalised. Rewards and penalties essentially are positive and negative numbers, say +1 or – 1. The researchers also had to ensure that the model does not over-dose or give out the maximum number of doses to reduce the mean diameter of the tumor. Therefore, the model is programmed in such a way that whenever it chooses to administer all full doses, it gets penalized. Thus the model is forced to administer fewer, smaller doses. Patik Shah, a principal investigator at the Media Lab who supervised this research, further stresses on the fact that, as compared to traditional RL models that work toward a single outcome, such as winning a game, and take any and all actions that maximize that outcome, the model implemented by the MIT researchers is a  “unorthodox RL model that weighs potential negative consequences of actions (doses) against an outcome (tumor reduction)” The model is strikingly wired to find a dose that does not necessarily maximize tumor reduction, but also establishes a perfect balance between maximum tumor reduction and low toxicity for the patients. The training and testing methodology used The model was trained on 50 simulated patients –  randomly selected from a large database of glioblastoma patients. These patients had previously undergone traditional treatments. The model conducted about 20,000 trial-and-error test runs for every patient. Once training was complete, the model understood the parameters for optimal regimens. The model was then tested on 50 new simulated patients and used the above-learned parameters to formulate new regimens based on various constraints that the researchers provided. The models treatment regimen was compared to the results of a conventional regimen using both TMZ and PVC. The outcome obtained was practically similar to the results obtained after the human counterparts administered treatments. The model was also able to treat each patient individually, as well as in a single cohort, and achieved similar results (medical data for each patient was available to the researchers). In short, the model has helped to generate precision medicine-based treatments by conducting one-person trials using unorthodox machine-learning architectures.Nicholas J. Schork, a professor and director of human biology at the J. Craig Venter Institute, and an expert in clinical trial design explains  “Humans don’t have the in-depth perception that a machine looking at tons of data has, so the human process is slow, tedious, and inexact,” he further adds  “Here, you’re just letting a computer look for patterns in the data, which would take forever for a human to sift through, and use those patterns to find optimal doses.” To sum it all up,  Machine learning is again proving to be an essential asset in the medical field- helping both researchers as well as patients to view medical treatments in an all new perspective. If you would like to know more about the progress done so far, head over to MIIT news. Read Next 23andMe shares 5mn client genetic data with GSK for drug target discovery Machine learning for genomics is bridging the gap between research and clinical trials 6 use cases of Machine Learning in Healthcarelast_img read more

Book save on Sandals Emerald Bay before it sells out says ACV

Book save on Sandals Emerald Bay before it sells out says ACV

first_img Posted by << Previous PostNext Post >> Tags: Air Canada Vacations, Sandals Resorts MONTREAL — Air Canada Vacations is offering exclusive savings on Sandals Emerald Bay Golf, Tennis & Spa Resort and Beaches Turks and Caicos Resort Villages and Spa. To avoid disappointment, the company is encouraging clients to book by Feb. 28, before accommodations are sold out.“We don’t want any customer – not our trade partners or their clients – to be disappointed and miss out on these properties,” said Nino Montagnese, Managing Director, Sun Markets, Air Canada Vacations. “Sandals Emerald Bay and Beaches Turks and Caicos are two of Sandals’ most popular resorts and always sell out in advance. Let your clients know about ACV’s incredible offers and encourage them to book as soon as possible.”Sandals Emerald Bay in Great Exuma, Bahamas, is offering savings of up to 65%, instant air credits of up to $1,000, one free night and unlimited golf with a minimum seven-night stay.Beaches Turks and Caicos, in Grace Bay, Providenciales, is also offering savings of up to 65%, plus instant air credits of up to $355 and a 30 Minute Couples Massage or Candlelight Dinner with a minimum seven-night stay.More news:  Marriott Int’l announces 5 new all-inclusive resorts in D.R. & MexicoACV is the only Canadian tour operator offering year-round service to Great Exuma onboard Air Canada.. ACV also operates bi-weekly flights to Turks and Caicos from Montreal and daily flights from Toronto onboard Air Canada. Clients For more information, visit vacations.aircanada.com. Sharecenter_img Book & save on Sandals Emerald Bay before it sells out, says ACV Friday, January 20, 2017 Travelweek Group last_img read more