注意了，伤害胸的这4件事别再做了！
乳房，对女人格外重要，总忍不住会对它特别关注，却往往带来了更多伤害。
今天，就和大家说说伤害乳腺的这4件事，看完后，希望大家别再做了。
【01、乳房按摩，别再被美容院骗】
大家听到乳腺结节，先不要慌张！
严格说，这不是某种疾病，而是乳腺出现的一种改变，一种现象。
80%左右都是良性的。
简单说：就是一个或一小团异常组织，明显与周围组织有不同。
它无法通过按摩消失。
美容院正是利用了你的焦虑制造了营销噱头！
如果体检时发现结节，下面的信息，希望你记住[1]：
1.看清级别：BI-RADS，评价乳腺结节良性、恶性的统一分级标准，用0-6表示，级数越高恶性程度越高。
2.定期复查：2级及以下者，定期复查，每年做一次乳腺检查即可；3级需要3~6个月复查乳腺彩超，观察结节的变化；4级及以上，建议到专科医生处就诊寻求帮助。
【02、挤乳沟，大可不必，健康的就是好的】
聚拢型内衣虽然穿着好看，但它会压迫胸腔、限制呼吸，让女性觉得胸闷、头晕，“勒得慌”，甚至可能增加腹内压，诱发胃食管反流。
太紧的内衣就像“挤牙膏”，会挤压乳房，影响局部血液循环及淋巴液的正常流动；
在活动时，过紧的内衣也会频繁摩擦肌肤，这些都可能不利于乳腺健康。
无需为别人的审美，用自己的健康来买单。
【03、总吃高热量美食，还不爱运动】
奶茶、酸奶、果汁，鸡爪、辣条、蛋黄酥，热量炸弹给了我们快乐！
但是只吃不运动，又会进一步加剧热量囤积。
最终，成了球形闪电。
肥胖，让多余的脂肪“转化制造”雌激素，让我们体内的雌激素水平“供大于求”；
肥胖还会降低我们的身体对胰岛素的灵敏度，也就是所谓的“胰岛素抵抗”，最终让我们更容易患上乳腺癌[2,3,4]。
英国医学期刊（BMJ）的一项荟萃研究揭示[5]：体重每增加5公斤，乳腺癌风险会增加11%。
女性在停经后，脂肪和乳腺癌的相关性更强[6]，就连乳腺癌康复后，也是肥胖人群的复发几率更大[7]。
BMI超过24，就算超重，超过28就为肥胖[8]（BMI=体重（千克）÷身高（米）2），要特别小心。
长在腹部的肥肉比长在屁股或大腿上的更危险，所以腰围也是重点关注对象，女性腰围≥85厘米，真的要开始减肥了[9]。
【04、不要忽略检查，不痛也要检查】
很多女生都认为，“平时胸部都不会痛，说明没有问题”。
实际上90%的乳腺癌都不痛，最常见的异常表现反而是：
乳房摸到硬块，乳头血性溢液，乳头凹陷，乳房皮肤出现凹陷、橘皮、皮疹等变化。
大部分早期乳腺癌完全没症状，所以千万不要因为没异常就忽略检查，特别是有以下特点的女性[10]：月经初潮过早（＜12岁），闭经过迟（＞55岁）。从未生育，首次生产、怀孕＞35岁。母亲、姐妹、祖母等亲人患有乳腺癌/卵巢癌。
2020年全球癌症患者中，乳腺癌的患者人数首超肺癌，成为全球最常见癌症[11]。
各位姐妹，平时要多些警惕，做好预防。愿我们都平安健康！
参考文献
[1]American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas). Reston, Va: © American College of Radiology;
[2]Brown, K. F. et al. The fraction of cancer attributable to modifiable risk factors in England, Wales, Scotland, Northern Ireland, and the United Kingdom in 2015. Br. J. Cancer 118, 1130–1141 (2018).
[3]Secretan, B. L. et al. Special Report Body Fatness and Cancer — Viewpoint of the IARC Working Group. (2016).
[4]World Cancer Research Fund / American Institute for Cancer Research Diet, Diet, Nutrition, Physical Activity and Cancer: a Global Perspective. A summary of the Third Expert Report. (2018).
[5]Kyrgiou M, Kalliala I, Markozannes G, et al. Adiposity and cancer at major anatomical sites: umbrella review of the literature[J]. BMJ. 2017 Feb 28;356
[6]Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort.
Thiébaut AC, Kipnis V, Chang SC, Subar AF, Thompson FE, Rosenberg PS, Hollenbeck AR, Leitzmann M, Schatzkin AJ Natl Cancer Inst. 2007 Mar 21; 99(6):451-62.
[7] Chen X, Lu W, Zheng W, Gu K, Chen Z, Zheng Y, Shu XO. Obesity and weight change in relation to breast cancer survival. Breast Cancer Res Treat. 2010 Aug;122(3):823-33.
[8]中国营养学会.中国居民膳食指南[M].北京:人民卫生出版社,2016.
[9]周北凡. 我国成人适宜体重指数切点的前瞻性研究[J]. 中华流行病学杂志, 2002(06):431-434.
[10]CDC.What Are the Risk Factors for Breast Cancer?
[11] GLOBOCAN 2012 Graph production: IARC World Health Organizat
来源：腾讯医典她知
乳房，对女人格外重要，总忍不住会对它特别关注，却往往带来了更多伤害。
今天，就和大家说说伤害乳腺的这4件事，看完后，希望大家别再做了。
【01、乳房按摩，别再被美容院骗】
大家听到乳腺结节，先不要慌张！
严格说，这不是某种疾病，而是乳腺出现的一种改变，一种现象。
80%左右都是良性的。
简单说：就是一个或一小团异常组织，明显与周围组织有不同。
它无法通过按摩消失。
美容院正是利用了你的焦虑制造了营销噱头！
如果体检时发现结节，下面的信息，希望你记住[1]：
1.看清级别：BI-RADS，评价乳腺结节良性、恶性的统一分级标准，用0-6表示，级数越高恶性程度越高。
2.定期复查：2级及以下者，定期复查，每年做一次乳腺检查即可；3级需要3~6个月复查乳腺彩超，观察结节的变化；4级及以上，建议到专科医生处就诊寻求帮助。
【02、挤乳沟，大可不必，健康的就是好的】
聚拢型内衣虽然穿着好看，但它会压迫胸腔、限制呼吸，让女性觉得胸闷、头晕，“勒得慌”，甚至可能增加腹内压，诱发胃食管反流。
太紧的内衣就像“挤牙膏”，会挤压乳房，影响局部血液循环及淋巴液的正常流动；
在活动时，过紧的内衣也会频繁摩擦肌肤，这些都可能不利于乳腺健康。
无需为别人的审美，用自己的健康来买单。
【03、总吃高热量美食，还不爱运动】
奶茶、酸奶、果汁，鸡爪、辣条、蛋黄酥，热量炸弹给了我们快乐！
但是只吃不运动，又会进一步加剧热量囤积。
最终，成了球形闪电。
肥胖，让多余的脂肪“转化制造”雌激素，让我们体内的雌激素水平“供大于求”；
肥胖还会降低我们的身体对胰岛素的灵敏度，也就是所谓的“胰岛素抵抗”，最终让我们更容易患上乳腺癌[2,3,4]。
英国医学期刊（BMJ）的一项荟萃研究揭示[5]：体重每增加5公斤，乳腺癌风险会增加11%。
女性在停经后，脂肪和乳腺癌的相关性更强[6]，就连乳腺癌康复后，也是肥胖人群的复发几率更大[7]。
BMI超过24，就算超重，超过28就为肥胖[8]（BMI=体重（千克）÷身高（米）2），要特别小心。
长在腹部的肥肉比长在屁股或大腿上的更危险，所以腰围也是重点关注对象，女性腰围≥85厘米，真的要开始减肥了[9]。
【04、不要忽略检查，不痛也要检查】
很多女生都认为，“平时胸部都不会痛，说明没有问题”。
实际上90%的乳腺癌都不痛，最常见的异常表现反而是：
乳房摸到硬块，乳头血性溢液，乳头凹陷，乳房皮肤出现凹陷、橘皮、皮疹等变化。
大部分早期乳腺癌完全没症状，所以千万不要因为没异常就忽略检查，特别是有以下特点的女性[10]：月经初潮过早（＜12岁），闭经过迟（＞55岁）。从未生育，首次生产、怀孕＞35岁。母亲、姐妹、祖母等亲人患有乳腺癌/卵巢癌。
2020年全球癌症患者中，乳腺癌的患者人数首超肺癌，成为全球最常见癌症[11]。
各位姐妹，平时要多些警惕，做好预防。愿我们都平安健康！
参考文献
[1]American College of Radiology (ACR) Breast Imaging Reporting and Data System Atlas (BI-RADS Atlas). Reston, Va: © American College of Radiology;
[2]Brown, K. F. et al. The fraction of cancer attributable to modifiable risk factors in England, Wales, Scotland, Northern Ireland, and the United Kingdom in 2015. Br. J. Cancer 118, 1130–1141 (2018).
[3]Secretan, B. L. et al. Special Report Body Fatness and Cancer — Viewpoint of the IARC Working Group. (2016).
[4]World Cancer Research Fund / American Institute for Cancer Research Diet, Diet, Nutrition, Physical Activity and Cancer: a Global Perspective. A summary of the Third Expert Report. (2018).
[5]Kyrgiou M, Kalliala I, Markozannes G, et al. Adiposity and cancer at major anatomical sites: umbrella review of the literature[J]. BMJ. 2017 Feb 28;356
[6]Dietary fat and postmenopausal invasive breast cancer in the National Institutes of Health-AARP Diet and Health Study cohort.
Thiébaut AC, Kipnis V, Chang SC, Subar AF, Thompson FE, Rosenberg PS, Hollenbeck AR, Leitzmann M, Schatzkin AJ Natl Cancer Inst. 2007 Mar 21; 99(6):451-62.
[7] Chen X, Lu W, Zheng W, Gu K, Chen Z, Zheng Y, Shu XO. Obesity and weight change in relation to breast cancer survival. Breast Cancer Res Treat. 2010 Aug;122(3):823-33.
[8]中国营养学会.中国居民膳食指南[M].北京:人民卫生出版社,2016.
[9]周北凡. 我国成人适宜体重指数切点的前瞻性研究[J]. 中华流行病学杂志, 2002(06):431-434.
[10]CDC.What Are the Risk Factors for Breast Cancer?
[11] GLOBOCAN 2012 Graph production: IARC World Health Organizat
来源：腾讯医典她知
GUIHUA Weekly 2408 | Mobility: Smart Urban Flows
Article Recommendation
1. Spatial-Temporal Graph Convolutional Network for Predicting Fine-Grained Ride-Hailing Pick-Up Demands
Author
YE Qiminig1*, FENG Yuxiang2
Affiliation
1 ETH Zurich, 2 Imperial College London
Abstract
A road curbside is an integral part of the interface between land-use and transportation systems, serving a wide range of essential curbside activities, including on-street parking, PickUp and Drop-Off (PUDO) operations, Pick-Up and Delivery (PUD) operations, and several other non-traffic activities. Curbside spaces accommodate a significant portion of parking demand in Europe, accounting for 36% and 20% in the USA. In megacities like London the proportion is even higher (56%).
Additionally to the on-street parking demands, PUDO operations carried out by taxis or Transport Network Companies (TNCs) owned ride-hailing passenger vehicles contribute to nearly 55% of curbside activities. Furthermore, the annual growth rate of PUDOs approximates 23%-43%, and the curbside delivery is projected to surge by 70% till 2040. As a consequence, it is reasonable to expect more intense competition among distinct curbside parking demands to obtain a parking space. In fact, 86% of delivery vans could not locate a dedicated zone to load goods, whereas a majority of PUDO operations on busy curb lanes that are occupied by parked vehicles had to perform double-parking operations.
Intelligent curbside inventory management could allow for a broader range of parking demands to be accommodated. This will enable the transport systems to be more efficient and safe as it will reduce the chances of double-parking manoeuvres and illegal parking for loading. The results of a curbside pilot project in Washington D.C. suggest that by setting up dedicated PUDO zones, 64% of double parking events can be prevented. Additionally, our previous studies revealed that by proactively optimizing the location of parking spaces, vehicular traffic delays could be reduced by nearly 50%, while maintaining relatively high levels of curbside productivity, turnover rates and parking requests.
For the purpose of dynamically allocating curbside space, it is essential to have an understanding of the daily use patterns of the curbside, in particular frequent PUDO operations, as a prerequisite. In this study, we intend to provide a data-driven modelling framework that makes use of historical spatiotemporal records of the ride-hailing trip records in order to predict short-term pick-up events for disscrete road link.
KeywordsRide-hailing service; Intelligent transport system; Curbside management; Taxi pick-up; Spatial-temporal modelling
Article Recommendation
1. Spatial-Temporal Graph Convolutional Network for Predicting Fine-Grained Ride-Hailing Pick-Up Demands
Author
YE Qiminig1*, FENG Yuxiang2
Affiliation
1 ETH Zurich, 2 Imperial College London
Abstract
A road curbside is an integral part of the interface between land-use and transportation systems, serving a wide range of essential curbside activities, including on-street parking, PickUp and Drop-Off (PUDO) operations, Pick-Up and Delivery (PUD) operations, and several other non-traffic activities. Curbside spaces accommodate a significant portion of parking demand in Europe, accounting for 36% and 20% in the USA. In megacities like London the proportion is even higher (56%).
Additionally to the on-street parking demands, PUDO operations carried out by taxis or Transport Network Companies (TNCs) owned ride-hailing passenger vehicles contribute to nearly 55% of curbside activities. Furthermore, the annual growth rate of PUDOs approximates 23%-43%, and the curbside delivery is projected to surge by 70% till 2040. As a consequence, it is reasonable to expect more intense competition among distinct curbside parking demands to obtain a parking space. In fact, 86% of delivery vans could not locate a dedicated zone to load goods, whereas a majority of PUDO operations on busy curb lanes that are occupied by parked vehicles had to perform double-parking operations.
Intelligent curbside inventory management could allow for a broader range of parking demands to be accommodated. This will enable the transport systems to be more efficient and safe as it will reduce the chances of double-parking manoeuvres and illegal parking for loading. The results of a curbside pilot project in Washington D.C. suggest that by setting up dedicated PUDO zones, 64% of double parking events can be prevented. Additionally, our previous studies revealed that by proactively optimizing the location of parking spaces, vehicular traffic delays could be reduced by nearly 50%, while maintaining relatively high levels of curbside productivity, turnover rates and parking requests.
For the purpose of dynamically allocating curbside space, it is essential to have an understanding of the daily use patterns of the curbside, in particular frequent PUDO operations, as a prerequisite. In this study, we intend to provide a data-driven modelling framework that makes use of historical spatiotemporal records of the ride-hailing trip records in order to predict short-term pick-up events for disscrete road link.
KeywordsRide-hailing service; Intelligent transport system; Curbside management; Taxi pick-up; Spatial-temporal modelling
昨晚小天空播B&C，日饭很high。
顺手译了下去年GRAPH“闪光”栏目里关于“服装”的一段，提到巴克这个角色的服装和死时父母放在他胸前的花。（观摩日饭发现饭真是天下大同，挂掉这场都在拼命看她一口气开到胃的领口……）
“负责服装设计的大津老师说，希望和希穿这件夹克衫。虽说是为我想象角色形象而准备的，但不管怎样我超开心的。此外还有黑色内搭、格子衬衫、领巾各种小物，说是随便我怎么穿搭。我把衬衫围系在腰上，稍微卷起夹克衫的袖子露出内搭，衣服的穿搭方式也能让角色形象变得丰满。另外，还有一个不同于戏服的，有助于创造角色的东西。巴克死的时候，大野老师说母亲的赠别之花“可以选和希喜欢的花哦”。巴克虽然死了，但为了寄托“希望还有新的幸福降临”的愿望，选择了花语是“幸福再临”的铃兰。”
#和希そら#
顺手译了下去年GRAPH“闪光”栏目里关于“服装”的一段，提到巴克这个角色的服装和死时父母放在他胸前的花。（观摩日饭发现饭真是天下大同，挂掉这场都在拼命看她一口气开到胃的领口……）
“负责服装设计的大津老师说，希望和希穿这件夹克衫。虽说是为我想象角色形象而准备的，但不管怎样我超开心的。此外还有黑色内搭、格子衬衫、领巾各种小物，说是随便我怎么穿搭。我把衬衫围系在腰上，稍微卷起夹克衫的袖子露出内搭，衣服的穿搭方式也能让角色形象变得丰满。另外，还有一个不同于戏服的，有助于创造角色的东西。巴克死的时候，大野老师说母亲的赠别之花“可以选和希喜欢的花哦”。巴克虽然死了，但为了寄托“希望还有新的幸福降临”的愿望，选择了花语是“幸福再临”的铃兰。”
#和希そら#
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