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![]() The only pizza I’ve had that was super “iffy” is pizza from kebab places. I do like variety don’t get me wrong, I just like what’s good more. The name of the pizza shoppe was Pizza Me and you can follow them on instagram I actually ate there twice because it was so good. Yes I know it’s the equivalent and not the number but damn let me have this haha. For example 1 american dollar is equal to 307 Hungarian Forints, so it was wild to me to see prices be in the thousands! Pulling out a $500 bill to pay for a slice of pizza will never not be strange to me and will always seem cool like I’m rich or something lol. Hungary is one of those countries where the currency exchange leave you with a really high number of cash. The slices were huge and the crusts were crispy on the outside but soft and doughy on the inside. I was so hungry and when I looked over yonder, I saw pizza!! I walked over to the shop and omg that smell of pizza filling the air was life. No shame in that right? I was in Budapest travelling back to Norway from Greece and I was taking pictures in front of Saint Stephen’s Basilica. Pizza is just so easy to order and so hard to mess up that if you’re somewhere and can’t figure out food, just look for pizza. It’s the little things… The pizza was still bomb af though so shout out Domino’s Tel Aviv. I don’t know exactly what was on top of my pizza in Tel Aviv but it wasn’t pepperoni. In Israel my dumb ass ordered a pepperoni pizza when pepperoni is not kosher! ugh. Look, I was in Poland at Pizza Hut and it was so good haha. That’s all you gotta say if somebody ask you. I actually feel MORE cultured for experiencing that country’s take on pizza haha. I do not feel less cultured for eating pizza everywhere I go. People ask me all the time like “Yo whats the food like in Israel? Hungary? Poland?” and I’m just like “The PIZZA is BOMB” lmao. As adventurous as I am and as tasty as the food of a country may be, I find myself always eating pizza haha. ![]() ![]() You know I’d love to tell you that I’m a food savant and that I focus on traditional cuisines from the places I travel, but that wouldn’t be entirely true. ![]() ![]() ![]() ![]() North Island rural or PO Box/Private Bag: 3-7 business days.We aim to deliver your order within the following timeframes: New Zealand Rural addresses could take up to an additional 2 business days.Īt this time, we do not offer urgent delivery as a standard freight option, however if you require your order urgently, please contact us before ordering to ensure that we can meet your delivery timeframe. While in most cases this will happen within 24-72 hours, it can take up to 5 business days, depending on what is ordered.Īfter dispatch, delivery is normally overnight within the South Island and 1-2 business days within the North Island. We aim to process and dispatch your order as fast as possible. We cannot ship oversized or heavy items internationally.Shipping charges to other international destinations range between $37.99 and $45.$24.99 shipping on all Australian orders.We cannot ship oversized or heavy items to Chatham Islands.A $10 surcharge applies to Chatham Islands and Waiheke Island addresses.A $5 surcharge applies to all NZ rural or PO Box/Private Bag addresses.A shipping charge of up to $85 (North Island) or up to $95 (South Island) applies to each oversized or heavy item. #CASSIN XDREAM FREE#Free NZ shipping on orders over $95, excluding certain oversized or heavy items, and today's hot deal.$6.99 standard shipping on all New Zealand orders under $95.Shipping ChargesĪll charges are in New Zealand Dollars. Please be aware that, in the event that a parcel goes missing, Gearshop will not be able to provide a replacement or refund where the courier is able to supply proof of delivery. We’re doing all that we can to get them to you as soon as possible.Īlso, due to COVID restrictions, depending on the alert/protection framework level in your area, contactless delivery may be required and couriers may leave parcels unattended on your property. X-Trigger pommel attaches to the shaft for a third positionĭue to COVID restrictions and freight disruption, online orders may take longer than usual to arrive.Micro-adjustable trigger finger ledges and X-Rest insert adjust the overall height and size of the handle.The handle is constructed from extreme cold resistant polymer laid over the hot-forged aluminum alloy spine.Ergonomic handle with innovative adjustment system to change between Dry and Ice angles.Comes standard with the Mixte pick Ice, Race and Total Dry picks can be purchased separately.Multi-part head design with four pick options - the Mixte and Ice picks can be combined with hammer or adze for amazing versatility.Hyperlight, perfectly balanced, fully featured tool for technical dry, mixed and ice climbing.The Total Dry pick is designed for maximum performance on overhanging dry tooling routes and in competitions. The Race pick features a sharp beak for grappling with rock. The Mixte and Ice picks can be used alone or with the hammer or adze. The Ice pick brings the tip 6 mm closer to the handle, but maintains the same angle as the Mixte pick. The X-Dream comes standard with the Mixte pick. They are designed to provide solid sticks with minimal effort making them the perfect choice for brittle ice and technical mixed terrain. All four picks feature a refined beak and tooth configuration. Climbers can further refine the X-Dream with micro-adjustable trigger finger ledges (choose from two inserts – the X-Finger Small or the X-Finger Large – that can be flipped over to adjust the position) and the X-Rest insert which adjusts the overall height of the handle. The Ice position drops the handle for a more natural swing on ice. Use the allen bolt above the grip to switch between Dry and Ice positions In the Dry position, the handle kicks upward for a more down and out pull. This amazing ice axe not only features four different T rated picks for various terrain, but it also incorporates an innovative adjustment system in the handle to fine tune the swing and pull even further. The X-Dream combines two tools in one – a fully optimized tool for technical ice and an aggressive dry tooling machine. ![]() ![]() ![]() Haque MR, Islam MM, Iqbal H, Reza MS, Hasan MK. IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, 2017, pp. Prediction of breast cancer using support vector machine and K-Nearest neighbors. Predictive data mining models for novel coronavirus (COVID-19) infected patients’ recovery. Muhammad LJ, Islam MM, Usman SS, Ayon SI. Coronary artery heart disease prediction: a comparative study of computational intelligence techniques. Interobserver variability of ultrasound elastography and the ultrasound BI-RADS lexicon of breast lesions. Park CS, Kim SH, Jung NY, Choi JJ, Kang BJ, Jung HS. Dynamic-enhanced MRI predicts metastatic potential of invasive ductal breast cancer. Nagashima T, Suzuki M, Yagata H, Hashimoto H, Shishikura T, Imanaka N, Miyazaki M. ![]() Probabilistic neural network for breast cancer classification. Molecular imaging using PET for breast cancer. Kurihara H, Shimizu C, Miyakita Y, Yoshida M, Hamada A, Kanayama Y, Tamura K. Diagnostic accuracy of contrast-enhanced spectral mammography in comparison to conventional full-field digital mammography in a population of women with dense breasts. Mori M, Akashi-Tanaka S, Suzuki S, Daniels MI, Watanabe C, Hirose M, Nakamura S. ![]() 2018 286(3):800–9.īreast Cancer: Statistics, Approved by the Cancer.Net Editorial Board, 04/2017. Methodologic guide for evaluating clinical performance and effect of artificial intelligence technology for medical diagnosis and prediction. The results reveal that the ANNs obtained the highest accuracy, precision, and F1 score of 98.57%, 97.82%, and 0.9890, respectively, whereas 97.14%, 95.65%, and 0.9777 accuracy, precision, and F1 score are obtained by SVM, respectively. Additionally, these techniques were appraised on precision–recall area under curve and receiver operating characteristic curve. The performance of the study is measured with respect to accuracy, sensitivity, specificity, precision, negative predictive value, false-negative rate, false-positive rate, F1 score, and Matthews Correlation Coefficient. The Wisconsin Breast Cancer dataset is obtained from a prominent machine learning database named UCI machine learning database. In this paper, we compare five supervised machine learning techniques named support vector machine (SVM), K-nearest neighbors, random forests, artificial neural networks (ANNs) and logistic regression. An automatic disease detection system aids medical staffs in disease diagnosis and offers reliable, effective, and rapid response as well as decreases the risk of death. Breast cancer is the second most severe cancer among all of the cancers already unveiled. With the rapid population growth, the risk of death incurred by breast cancer is rising exponentially. Both Red Bull and Mercedes will continue a close fight during the last few races of 2021," concludes Jaki.Early detection of disease has become a crucial problem due to rapid population growth in medical research in recent times. Whoever does the best homework during the team simulation preparations before the Saudi Arabia Grand Prix will have the upper hand. "The Saudi Arabia race is up for the taking. Bottas remains inconsistent at the best of times, fluctuating between excellent and nowhere," says Jaki. He agrees that team Red Bull will dominate Brazil: "However, with Perez's performance improvement in the last few races, he will continue to give Mercedes and Hamilton even bigger headaches. ![]() Jaki predicts the Brazilian Grand Prix placings to be Verstappen, Perez, Hamilton. Ian says anything can happen at the Saudi Arabia Grand Prix due to the new track, but he believes Red Bull has a better chance than the rest of the teams, as it is currently the "fiercer" team: "The results will remain more or less the same for me in Saudi Arabia if they race 'clean' in the upcoming Brazil Grand Prix this Sunday." The Red Bull team have the upper hand after last weekend's Mexican Grand Prix, and the upcoming Brazil race will suit the team," says Ian Scheckter. "I predict the finishing line for the upcoming Brazilian Grand Prix to be Verstappen, Hamilton, Bottas, Perez. Getty Images Photo by Dario Oliveira/Anadolu Agency ![]() |
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