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文章數：136 |
 一笈壽司包廂適合尾牙嗎？》台中公益路美食地圖｜10家餐廳實測心得 |
| 興趣嗜好｜偶像追星 2026/04/21 13:13:18 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
身為一個熱愛美食、喜歡在城市裡挖掘驚喜的人，臺中公益路一直是我最常出沒的地方之一。這條路可說是「臺中人的美食戰場」，從精緻西餐到創意火鍋，從日式丼飯到義式早午餐，每走幾步，就會有完全不同的特色料理餐廳。 這次我特別花了一整個月，實際造訪了公益路上十間口碑不錯的餐廳。有的是網友熱推的打卡名店，也有隱藏在巷弄裡的小驚喜。我以環境氛圍、口味表現、價格CP值與再訪意願為基準，整理出這篇實測評比。希望能幫正在猶豫去哪裡吃飯的你，找到那一間「吃完會想再來」的餐廳。 評比標準與整理方向
這次我走訪的10家餐廳橫跨不同料理類型，從高質感牛排館到巷弄系早午餐，每一間都有自己獨特的風格。為了讓整體比較更客觀，我依照以下四大面向進行評比，並搭配實際用餐體驗來打分。
整體而言，我希望這份評比不只是「哪家好吃」，而是幫你在不同情境下（約會、家庭聚餐、朋友小聚、商業午餐）都能快速找到合適的選擇。畢竟，美食不只是味覺的滿足，更是一段段與朋友共享的生活記憶。 10間臺中公益路餐廳評比懶人包公益路向來是臺中人聚餐的首選地段，從火鍋、燒肉到中式料理與早午餐，每走幾步就有驚喜。以下是我實際造訪過的10間代表性餐廳清單，橫跨平價、創意、高級各路風格。
一頭牛日式燒肉｜炭香濃郁的和牛饗宴，約會聚餐首選
走在公益路上，很難不被 一頭牛日式燒肉 的木質外觀吸引。低調卻不失質感的門面，搭配昏黃燈光與暖色調的內裝，讓人一進門就感受到濃濃的日式職人氛圍。店內空間不大，但桌距規劃得宜，每桌皆設有獨立排煙設備，烤肉時完全不怕滿身油煙味。 餐點特色
一頭牛的靈魂，絕對是他們招牌的「三國和牛拼盤」。 用餐體驗整體節奏掌握得非常好。店員會在你剛想烤下一片肉時貼心遞上夾子、幫忙換烤網，讓人完全不用分心。整場用餐過程就像一場表演，從視覺、嗅覺到味覺都被滿足。 綜合評分
地址：408臺中市南屯區公益路二段162號電話：04-23206800 小結語一頭牛日式燒肉不僅是「吃肉的地方」，更像是一場五感盛宴。從進門那一刻到最後一道甜點，都能感受到他們對細節的用心。 TANG Zhan 湯棧｜文青系火鍋代表，麻香湯底與視覺美感並重
在公益路這條美食戰線上，TANG Zhan 湯棧 是讓人一眼就會想走進去的那一種。 餐點特色
湯棧最有名的當然是它的「麻香鍋」。 用餐體驗整體氛圍比一般火鍋店更有質感。 綜合評分
地址：408臺中市南屯區公益路二段248號電話：04-22580617 官網：https://www.facebook.com/TangZhan.tw/ 小結語TANG Zhan 湯棧 把傳統火鍋做出新的樣貌保留臺式鍋物的溫度，又結合現代風格與細節服務，讓吃鍋這件事變得更有品味。 如果你想找一間兼具「好吃、好拍、好放鬆」的火鍋店，湯棧會是公益路上最有風格的選擇之一。 NINI 尼尼臺中店｜明亮寬敞的義式早午餐天堂
如果說前兩間是肉食愛好者的天堂，那 NINI 尼尼臺中店 絕對是想放鬆、聊聊天的好地方。餐廳外觀以白色系與大片玻璃窗為主，陽光灑進室內，讓人一踏入就有種度假般的輕盈感。假日早午餐時段特別熱鬧，建議提早訂位。 餐點特色
NINI 的菜單融合義式與臺灣人口味，選擇多樣且份量十足。主打的 松露燉飯 濃郁卻不膩口，米芯保留微Q口感；而 香蒜海鮮義大利麵 則以新鮮白蝦、花枝與淡菜搭配微辣蒜香，口感層次豐富。 用餐體驗店內氣氛輕鬆不拘謹，無論是一個人帶電腦工作、或朋友聚餐，都能找到舒服角落。餐點上桌速度穩定，服務人員態度親切、補水與收盤都非常主動。整體節奏讓人覺得「時間變慢了」，很適合想遠離忙碌日常的人。 綜合評分
地址：40861臺中市南屯區公益路二段18號電話：04-23288498 小結語NINI 尼尼臺中店是一間能讓人放下手機、慢慢吃飯的餐廳。餐點不追求浮誇，而是以「剛剛好」的份量與風味，陪伴每個平凡午後。如果你在找一間能邊吃邊聊天、拍照也漂亮的早午餐店，NINI 會是你在公益路上最不費力的幸福選擇。 加分100%浜中特選昆布鍋物｜平價卻用心的湯頭系火鍋，家庭聚餐好選擇
在公益路這條高質感餐廳林立的戰場上，加分100%浜中特選昆布鍋物 走的是截然不同的路線。它沒有浮誇的裝潢、也沒有高價位的套餐，但靠著實在的湯頭與親切的服務，默默吸引許多回頭客。每到用餐時間，總能看到家庭或情侶三兩成群地圍著鍋邊聊天。 餐點特色
主打 北海道浜中昆布湯底，湯頭清澈卻不單薄，越煮越能喝出海藻與柴魚的自然香氣。 用餐體驗整體氛圍偏家庭取向，桌距寬敞、座位舒適，帶小孩來也不覺擁擠。店員態度親切，補湯、收盤都很勤快，給人一種「被照顧著」的安心感。 綜合評分
地址：403臺中市西區公益路288號電話：0910855180 小結語加分100%浜中特選昆布鍋物是一間「不浮誇、但會讓人想再訪」的火鍋店。它不追求豪華擺盤，而是用最簡單的湯頭與新鮮食材，傳遞出家常卻不平凡的溫度。 印月餐廳｜中式料理的藝術演繹，宴客與家庭聚會首選
說到臺中公益路的中式料理代表，印月餐廳 絕對是榜上有名。這間開業多年的餐廳以「中菜西吃」的概念聞名，把傳統中式料理以現代手法重新詮釋。從建築外觀到餐具擺設，每個細節都散發著低調的典雅氣息。 餐點特色
印月最令人印象深刻的是他們將傳統中菜融入創意手法。 用餐體驗服務方面完全對得起餐廳的高級定位。從入座、點餐到上菜節奏，都拿捏得恰如其分。每道菜都會有服務人員細心介紹食材與吃法，讓人感受到「被款待」的尊榮感。 綜合評分
地址：408臺中市南屯區公益路二段818號電話：0422511155 小結語印月餐廳是一間「不只吃飯，更像品味生活」的地方。 KoDō 和牛燒肉｜極致職人精神，專為儀式感與頂級味覺而生
若要形容 KoDō 和牛燒肉 的用餐體驗，一句話足以總結——「像在欣賞一場關於肉的表演」。 餐點特色
這裡主打 日本A5和牛冷藏肉，以「精切厚燒」的方式呈現。 用餐體驗KoDō 的最大特色是「儀式感」。 綜合評分
地址：403臺中市西區公益路260號電話：0423220312 官網：https://www.facebook.com/kodo2018/ 小結語KoDō 和牛燒肉不是日常餐廳，而是一場體驗。 永心鳳茶｜在茶香裡用餐的優雅時光，臺味早午餐的新詮釋
走進 永心鳳茶公益店，彷彿進入一間有氣質的茶館。 餐點特色
永心鳳茶的餐點結合中式靈魂與西式擺盤，無論是「炸雞腿飯」還是「紅玉紅茶拿鐵」，都能讓人感受到熟悉卻不平凡的味道。 用餐體驗店內服務人員態度溫和，對茶品介紹詳盡。上餐節奏剛好，不急不徐。 綜合評分
地址：40360臺中市西區公益路68號三樓(勤美誠品)電話：0423221118 小結語永心鳳茶讓人重新定義「臺味」。 三希樓｜老饕級江浙功夫菜，穩重又帶人情味的中式饗宴
位於公益路上的 三希樓 是許多臺中老饕的口袋名單。 餐點特色
三希樓的菜色以 江浙與港式料理 為主，兼顧傳統與現代風味。 用餐體驗三希樓的服務給人一種老派但貼心的感覺。 綜合評分
地址：408臺中市南屯區公益路二段95號電話：0423202322 官網：https://www.sanxilou.com.tw/ 小結語三希樓是一間「吃得出功夫」的餐廳。 一笈壽司｜低調奢華的無菜單日料，職人手藝詮釋旬味極致
在熱鬧的公益路上，一笈壽司 低調得幾乎不顯眼。 餐點特色
一笈壽司採 Omakase（無菜單料理） 形式，每一餐都由主廚根據當日食材設計。 用餐體驗整場用餐約90分鐘，節奏緩慢但沉穩。 綜合評分
地址：408臺中市南屯區公益路二段25號電話：0423206368 官網：https://www.facebook.com/YIJI.sushi/ 小結語一笈壽司是一間真正讓人「放慢呼吸」的餐廳。 茶六燒肉堂｜人氣爆棚的和牛燒肉聖地，肉香與幸福感同時滿分
若要票選公益路上「最難訂位」的餐廳，茶六燒肉堂 絕對名列前茅。 餐點特色
茶六主打 和牛燒肉套餐，價格約落在 $700–$1000 間，份量與品質兼具。 用餐體驗茶六的服務效率相當高。店員親切、換網勤快、補水速度快，整場用餐流程流暢無壓力。 綜合評分
地址：403臺中市西區公益路268號電話：0423281167 官網：https://inline.app/booking/-L93VSXuz8o86ahWDRg0:inline-live-karuizawa/-LUYUEIOYwa7GCUpAFWA 小結語茶六燒肉堂用「穩定品質＋輕奢氛圍」抓住了臺中年輕族群的心。 吃完10家公益路餐廳後的心得與結語吃完這十家餐廳後，臺中公益路不只是一條美食街，而是一段生活風景線。 有的餐廳講究細膩與儀式感，像 一頭牛日式燒肉 與 一笈壽司，讓人感受到食材最純粹的美好 有的則以親切與溫度打動人心，像 加分昆布鍋物、永心鳳茶，讓人明白吃飯不只是為了飽足，而是一種被照顧的幸福。 而像茶六燒肉堂、TANG Zhan 湯棧 這類人氣名店，則用穩定的品質與熱絡的氛圍，成為許多臺中人心中「想吃肉就去那裡」的代名詞。 這十家店，構成了公益路最動人的縮影 有華麗的，也有溫柔的；有傳統的，也有創新的。 每一家都在自己的風格裡發光，讓人吃到的不只是料理，而是一種生活的溫度與節奏。 對我而言，這不僅是一場美食旅程，更是一趟關於「臺中味道」的回憶之旅。 FAQ：關於臺中公益路美食常見問題Q1：公益路哪一區的餐廳最集中？ Q2：需要提前訂位嗎？ 最後的話若要用一句話形容這趟美食之旅，我會說： 一笈壽司人潮很多嗎？ 如果你也和我一樣喜歡用味蕾探索一座城市，那就把這篇公益路美食攻略收藏起來吧。NINI 尼尼臺中店尾牙預算好掌控嗎？ 無論是約會、慶生、家庭聚餐，或只是想犒賞一下辛苦的自己——這條路上永遠會有一間剛剛好的餐廳在等你。一頭牛日式燒肉氣氛如何？ 下一餐，不妨從這10家開始。加分100%浜中特選昆布鍋物整體體驗如何？ 打開手機、約上朋友，讓公益路成為你生活裡最容易抵達的小確幸。加分100%浜中特選昆布鍋物真的有那麼好吃嗎？ 如果你有私心愛店，也歡迎留言分享，TANG Zhan 湯棧年節期間價格會變嗎？ 你的推薦，可能讓我下一趟美食旅程變得更精彩。加分100%浜中特選昆布鍋物慶生氣氛夠嗎？ Zebrafish, photographed with confocal microscope. The brain region that controls eye movement is structurally similar in fish and mammals, but the zebrafish system contains only 500 neurons, making it a good model organism. Credit: Jessica Plavicki A study using zebrafish reveals how brainstem neural networks guide eye movement, offering a new model that mimics these networks to predict their activity, potentially aiding eye disorder treatments and enhancing our grasp of short-term memory. Researchers at Weill Cornell Medicine and their collaborators have uncovered how connections in a network of brainstem neurons control gaze in week-old zebrafish larvae. Published today (November 22) in Nature Neuroscience, the study revealed that a simplified artificial circuit, designed based on this neural architecture, could accurately predict the network’s activity. These findings not only enhance our understanding of how the brain manages short-term memory but also hold the potential for developing innovative treatments for eye movement disorders. The brain is constantly processing a flood of sensory information from an ever-changing environment. To make sense of this input, it must temporarily retain key details—whether to string together words in a sentence or to maintain visual focus on a specific object. This ability to hold and use sensory information is crucial for forming a coherent understanding of the world. “Trying to understand how these short-term memory behaviors are generated at the level of neural mechanism is the core goal of the project,” said senior author Dr. Emre Aksay, associate professor of physiology and biophysics at Weill Cornell Medicine, who led the study, together with Dr. Mark Goldman at the University of California Davis and Dr. Sebastian Seung at Princeton University. Modeling Memory and Movement To decode the behavior of such neuronal circuits, neuroscientists use the tools of dynamical systems, which involve building mathematical models that describe how the state of a system changes over time, where the current state determines its future states according to a set of rules. A short-term memory circuit, for example, will remain in a single preferred state until a new stimulus comes along, causing it to settle into a new activity state. In the visual-motor system, each of these states can store the memory of where an animal should be looking. But what parameters help set up that type of dynamical system? One possibility is the anatomy of the circuit: the connections that form between each neuron and how many connections they make. Another likely possibility is the physiological strength of those connections, which is established by a myriad of factors like the amount of neurotransmitter being released, the type of synaptic receptors, and the concentration of those receptors. To understand the contributions of circuit anatomy, Dr. Aksay and his collaborators looked at larval zebrafish. By five days of age, these fishlets are swimming around and hunting prey, a skill that involves sustained visual attention. Importantly for the research team, the brain region that controls eye movement is structurally similar in fish and mammals. However, the zebrafish system contains only 500 neurons. “So, we can analyze the entire circuit—microscopically and functionally,” Dr. Aksay said. “That’s very difficult to do in other vertebrates.” Advanced Imaging and Computational Modeling Using an array of advanced imaging techniques, Dr. Aksay and colleagues identified the neurons that participate in controlling the animals’ gaze and then determined how these neurons are wired together. They discovered that the system consists of two prominent feedback loops, each containing three clusters of tightly connected cells. The researchers used this distinctive architecture to build a computational model. They found that their artificial network could accurately predict activity patterns of the zebrafish circuit which they validated by comparing their results to physiological data. “I consider myself a physiologist, first and foremost,” Dr. Aksay said. “So, I was surprised how much of the behavior of the circuit we could predict from the anatomical architecture alone.” Next, the researchers will explore how the cells in each cluster contribute to the behavior of the circuit—and whether the neurons in the different clusters have distinct genetic signatures. Such information could allow clinicians to therapeutically target those cells that may malfunction in eye movement disorders. The findings also provide a blueprint for unraveling the more complex computational systems in the brain that rely on short-term memory, such as those involved in deciphering visual scenes or understanding speech. Reference: “Predicting modular functions and neural coding of behavior from a synaptic wiring diagram” by Ashwin Vishwanathan, Alex Sood, Jingpeng Wu, Alexandro D. Ramirez, Runzhe Yang, Nico Kemnitz, Dodam Ih, Nicholas Turner, Kisuk Lee, Ignacio Tartavull, William M. Silversmith, Chris S. Jordan, Celia David, Doug Bland, Amy Sterling, H. Sebastian Seung, Mark S. Goldman, Emre R. F. Aksay and the Eyewirers, 22 November 2024, Nature Neuroscience. DOI: 10.1038/s41593-024-01784-3 This study was supported in part by the National Institutes of Health grants from the National Institute of Neurological Disorders and Stroke R01 NS104926 and Brain initiative award 5U19NS104648; the National Eye Institute R01 EY027036, R01 EY021581 and K99 EY027017; and the National Cancer Institute UH2 CA203710. Natural killer (NK) cells are a type of white blood cell that play a crucial role in the body’s immune system. They specialize in detecting and destroying cells that are infected by viruses or have become cancerous. Unlike other immune cells, NK cells can act without prior exposure to the target cell, making them a vital first line of defense against new threats. Researchers identified a dysfunctional NK cell subtype, TaNK cells, in tumors, which resists immunotherapy and correlates with worse outcomes. LAMP3+ dendritic cells were also found to suppress NK cell function, offering new targets for cancer therapy. A research team headed by Prof. Tian Zhigang and Prof. Peng Hui from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), working alongside Prof. Zhang Zemin from Peking University, have illustrated the variations in natural killer (NK) cells across different cancer types and tissues. They identified a specific subgroup of NK cells that demonstrate abnormal anti-tumor functions that thrive specifically within the tumor microenvironment. Their findings were recently published in the journal Cell. NK cell, named after its ability to directly kill cancer cells, has emerged as a formidable contender in immunotherapy, showcasing exceptional efficacy in blood cancer treatments. However, the heterogeneity of NK cells, varying in phenotype and function within distinct tissue microenvironments, has posed challenges in its application in solid tumor therapy. Over the years, Prof. Tian and Prof. Peng’s team have been studying the heterogeneity of NK cells across different tissues. In this study, the researchers collected an extensive dataset of single-cell transcriptomes, encompassing 24 cancer types and including a total of 1,223 samples from 716 patients and 47 healthy individuals. They identified five distinct subtypes of CD56brightCD16lo NK cells and nine subtypes of CD56dimCD16hi NK cells at a comprehensive pan-cancer level for the first time. These subtypes were meticulously characterized for their phenotypic and functional diversity. Identifying Subtypes of NK Cells Across Cancer Types Through the integration of this extensive dataset, the researchers observed a preference for NK cell subtype composition across different cancer types. Notably, the distribution of NK cell subtypes within tumors, neighboring tissues, and peripheral blood displayed significant disparities. Leveraging advanced bioinformatics techniques, the researchers pinpointed the gene RGS1 as being highly expressed in non-blood NK cells. At the transcriptional level, RGS1 demonstrated remarkable specificity and sensitivity, compared to conventional tissue residency markers. By probing the tumor microenvironment, the researchers found that a group of DNAJB1+CD56dimCD16hi NK cells were highly enriched in tumor issues. Analysis of this group revealed a dysfunctional phenotype with reduced cytotoxicity, increased inhibitory receptors, and heightened stress-related protein levels. This subtype, named “Tumor-associated NK cells” (TaNK cells), defied the conventional understanding that higher NK cell abundance is beneficial to tumor patients. Instead, TaNK cells exhibited a strong association with adverse prognoses in various cancer types and a significant resistance to immunotherapy. The Role of LAMP3+ Dendritic Cells in Suppressing NK Function Besides, the researchers discovered that LAMP3+ dendritic cells (DCs) are critical regulators of NK cell functionality. Spatial distribution data analysis showed that NK cells in close proximity to LAMP3+ DCs exhibited diminished cytotoxic activity. This observation hinted at the potential of LAMP3+ DCs to exert abnormal regulatory effects on NK cell function in the tumor microenvironment. Reference: “A pan-cancer single-cell panorama of human natural killer cells” by Fei Tang, Jinhu Li, Lu Qi, Dongfang Liu, Yufei Bo, Shishang Qin, Yuhui Miao, Kezhuo Yu, Wenhong Hou, Jianan Li, Jirun Peng, Zhigang Tian, Linnan Zhu, Hui Peng, Dongfang Wang and Zemin Zhang, 21 August 2023, Cell. DOI: 10.1016/j.cell.2023.07.034 A human interactome to prioritize drug discovery. Credit: Karen Arnott/EMBL-EBI Scientists built a protein interactome revealing shared biological processes across diseases, offering insights for drug discovery and repurposing. Scientists at Open Targets, the European Molecular Biology Laboratory’s European Bioinformatics Institute (EMBL-EBI), and GSK are revealing the shared basis of diseases using a map of interacting human proteins. By helping to understand how biological processes affect human traits and diseases, this work will prioritize new targets for drug discovery and identify drug repurposing opportunities. Proteins are molecules that do most of the work in our cells and are made following blueprints encoded in genes. They are essential for the structure, function, and regulation of the body’s tissues, and are often the target of drugs or therapies. Genome Wide Association Studies (GWAS) help us establish the genetic basis of disease by linking specific genes to diseases. To determine how those genes contribute to disease, we need to understand the function of the proteins they encode and link specific biological processes to diseases. In this new study, which will be published today (February 23, 2023) in the journal Nature Genetics, researchers created a network of interacting proteins – or an interactome – combining evidence from different sources, including EMBL-EBI’s IntAct database, Reactome, and Signor. Using this interactome, they identified groups of proteins interacting with genes that have been linked through GWAS to over 1,000 human traits from 21 therapeutic areas. Guilt-by-Association Proteins that interact with each other will likely be involved in the same biological processes. Therefore, if a protein is known to be involved in a disease, knowing which partners it interacts with provides information about the function it has in a cell. Through ‘guilt-by-association’, the interacting proteins can also sometimes be excellent therapeutic targets. The researchers found 73 clusters of proteins that were linked to more than one trait or disease, a phenomenon known as pleiotropy. Understanding these pleiotropic relationships is invaluable to drug discovery because they indicate opportunities where a therapy for one disease might be effective in another. They can also suggest drug targets to avoid, when targeting them may cause unwanted side effects. “The interactome identified some known associations, such as cardiovascular diseases and lipoprotein or cholesterol measurements,” said Inigo Barrio Hernandez, postdoctoral fellow at Open Targets and EMBL-EBI. “But we also found some unexpected associations. For example, the interactome highlighted three protein clusters shared by ten respiratory and skin immune-related diseases. This is hugely exciting because we now have some biological support to repurpose existing drugs that are proven to be safe to treat related diseases.” Finding the Cause of Diseases The network expansion is also a useful tool to assess the relative importance of genes at genomic loci identified through GWAS. GWAS compare points of common variation in the human genome between individuals with a specific trait or disease and control individuals. To identify the likely causative genes and proteins linked to the trait in question, prediction methods such as Open Targets’s Locus-to-Gene machine learning score have been developed. This method uses factors such as the distance from the point of common variation to the gene and the structure of the DNA in that location to prioritize the most relevant genes. In the present study, the researchers showed that the interactome could be used to find the proteins most likely to be involved in causing disease, using Inflammatory Bowel Disease (IBD) as an example. IBD is a complex disease with a genetic basis, but for which the disease biology is not well understood. In collaboration with Open Targets researchers who specialise in IBD, Barrio Hernandez demonstrated that the interactome could be used to prioritize a list of proteins most likely involved in the disease, based on their proximity to other IBD-linked proteins in the interactome. “This work bridges many fields of biology, including statistical genetics, cell biology, and bioinformatics,” said Pedro Beltrao, Associate Professor at ETH Zurich and former Group Leader at EMBL-EBI. “It brought together groups from across Open Targets and EMBL-EBI, and highlights the value of collaborations across disciplines.” “This is an exciting showcase of one of our Open Targets collaborative informatics projects that has generated an array of new insights for novel target discovery as well as drug repurposing, and informs our understanding of the connection between rare and common diseases through shared biological processes,” said Ellen McDonagh, Director of Informatics Science at Open Targets. “This is now being developed further to provide tissue and cell-type specific networks to help further prioritize targets for disease treatment.” Reference: “Network expansion of genetic associations defines a pleiotropy map of human cell biology” by Inigo Barrio-Hernandez, Jeremy Schwartzentruber, Anjali Shrivastava, Noemi del-Toro, Asier Gonzalez, Qian Zhang, Edward Mountjoy, Daniel Suveges, David Ochoa, Maya Ghoussaini, Glyn Bradley, Henning Hermjakob, Sandra Orchard, Ian Dunham, Carl A. Anderson, Pablo Porras and Pedro Beltrao, 23 February 2023, Nature Genetics. DOI: 10.1038/s41588-023-01327-9 RRG455KLJIEVEWWF |
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