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https://w.atwiki.jp/melty_cmv/pages/39.html
※FM6,月談は別ページにあります。 ※月劇名義の動画はそちらのページにおきます。 ※黒鍵さんと同じ人らしいので合流しました。 MBAA MBAC ReACT シエルコンボムービー MBAA [MBAACC] ワラキアコンボムービー「bye N, by N」 CC nico http //www.nicovideo.jp/watch/sm21948364 Novice 「MBAACC」7次 コンボムービー「月夜」 CC YouTube https //www.youtube.com/watch?v=QAAf8_WqSLg nico http //www.nicovideo.jp/watch/sm26297624 MBAC マリアの爪痕 AC Mgoon http //video.mgoon.com/2203158 Nightmare AC YouTube https //www.youtube.com/watch?v=dcamT9hucL8 nico http //www.nicovideo.jp/watch/sm2367457 Daum http //tvpot.daum.net/clip/ClipView.do?clipid=7028774 (27752495) ある意味、ver.B2レンの最先端のコンボ。 月光 another AC YouTube https //www.youtube.com/watch?v=-9N6pkvFplw Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752180 Northern Cross AC imageプラグインエラー ご指定のURLはサポートしていません。png, jpg, gif などの画像URLを指定してください。 nico http //www.nicovideo.jp/watch/sm5150263 Dry?の別ver.のようです。ネタ部分が違ったりします。 Dice AC Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752725 Naver http //video.naver.com/2008122213405230944 Dice ~another~ AC YouTube https //www.youtube.com/watch?v=Eob-UsZQNmE Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27765909 贖罪 AC YouTube https //www.youtube.com/watch?v=FzhO4PtMlYw Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27765823 編集はCaMilreさんです celestia battle AC Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752349 Cokeaholic AC Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27765670 めちゃくちゃwww Cokeaholic -short version- AC YouTube https //www.youtube.com/watch?v=rnHrCLRvcOE Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752420 That s it AC YouTube https //www.youtube.com/watch?v=m2kjnnbW_M8 Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27757055 PandoraTV http //www.pandora.tv/my.dlth2001/39854252 Data AC PandoraTV http //www.pandora.tv/my.jhbea2022/35517832 Do it AC PandoraTV http //www.pandora.tv/my.dlth2001/39854269 極 AC Daum http //tvpot.daum.net/clip/ClipView.do?clipid=15124032 七夜 コンボムービー [DANDAN心魅かれてく] AC YouTube https //www.youtube.com/watch?v=ZdNV9S4t_V0 nico http //www.nicovideo.jp/watch/sm9212118 Daum http //tvpot.daum.net/clip/ClipView.do?clipid=20590608 PandoraTV http //www.pandora.tv/my.dlth2001/39854276 질풍가도 AC Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27927816 Pandora http //channel.pandora.tv/channel/video.ptv?ch_userid=dlth2001 prgid=39840024 For Fantasia AC YouTube https //www.youtube.com/watch?v=VlWyy7NjYes Daum http //tvpot.daum.net/clip/ClipView.do?clipid=29445230 ダメレベ? what AC Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27757153 Final edit AC YouTube https //www.youtube.com/watch?v=svaeZnVWhAY Daum http //tvpot.daum.net/clip/ClipView.do?clipid=17375609 冒頭にFTが混ざってますが主にACです。 ReACT emerald sword 2.0x Naver http //video.naver.com/2007090921373053327 かなり昔のver.のようです。 Shizuku FT YouTube https //www.youtube.com/watch?v=rhAHSygv2Qo Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27756978 Mgoon http //video.mgoon.com/2287186 Melty blood CMV 2FT YouTube https //www.youtube.com/watch?v=UW7EopETz4M Vanish FT Daum http //tvpot.daum.net/clip/ClipView.do?clipid=5078657 魔弾 ~Der Freischutz~ FT YouTube https //www.youtube.com/watch?v=F9sxACVmaag Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27751837 AIR FT YouTube https //www.youtube.com/watch?v=LkbFHvJR-vE Daum http //tvpot.daum.net/clip/ClipView.do?clipid=67647042 Melty blood CMV 6 FT YouTube https //www.youtube.com/watch?v=tn0VFwCVBWc Nasty Nail FT YouTube https //www.youtube.com/watch?v=H3uxCjvbkuo zips FT YouTube https //www.youtube.com/watch?v=l2W_KNGbJvk Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27757253 言葉より大切なもの FT Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752107 Dawn of victory FT YouTube https //www.youtube.com/watch?v=gySLiEGvy5U Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752590 月光蝶 Dragon blade FT YouTube https //www.youtube.com/watch?v=Pl5dgwprKMg Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27752275 Sin FT imageプラグインエラー ご指定のURLはサポートしていません。png, jpg, gif などの画像URLを指定してください。 Mgoon http //video.mgoon.com/2705141 Zuerst einigen FT Pandora http //www.pandora.tv/my.dlth2001/36463356 Sekunde einigen FT Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27766185 Pandora http //channel.pandora.tv/channel/video.ptv?ch_userid=dlth2001 prgid=36470812 Mgoon http //video.mgoon.com/2705103 赤主ww Distortion FT Daum http //tvpot.daum.net/clip/ClipView.do?clipid=1818564 ネタムビっぽいもの シエルコンボムービー シエルコンボムービー AC YouTube http //www.youtube.com/watch?v=Er2kY9xSkPg Daum http //tvpot.daum.net/clip/ClipView.do?clipid=27753008 メルブラ シエルコンボムービー2 AC YouTube http //www.youtube.com/watch?v=ODgsOdqfOzc メルブラ シエルコンボムービー3 AC YouTube http //www.youtube.com/watch?v=JHvrggsfg4g
https://w.atwiki.jp/niconicoserver/pages/14.html
Welcome to N1CON1CO server !! このサーバーはみんながニコニコプレイできるようなサーバーを目指しております。 サーバーip niconicosrv.dip.jp TS3の鯖の立ててるんでよかったら入ってね IPはMinecraftと一緒でポートはデフォルトです 動的map http //niconicosrv.dip.jp 8123/# News 12/14 日本語チャット対応しました。(漢字も可) 12/8 バージョン1.0.0対応しました。 7/21 日本語対応しました! 6/6 日本語対応しました! 6/6 新Shop機能 6/6 緊急メンテ終了しました。補正内容 shop不具合修正フリーマーケット方式に変更 6/1 1.6.6対応しました! 5/29 Shop機能不具合発生現在停止中 4/27 Shop機能導入しました! サーバールール 1.Pleyerの物を盗まない 2.建造物を壊さない 3.Pleyerに攻撃をしない 4.TrapTowerを作る場合は管理者に断ってから作る。 ※まったくこない人のチェストには鍵をかけさせていただきます ※怪しい行動をしたら容赦なく攻撃させていただきます。 ※サーバーadmin等などに物乞いはなるべく遠慮してください。ショップ機能を利用してください。 活動時間 基本24時間 ※時々落とします サーバー管理者 santasan234 Wiki管理者 tyocopfy
https://w.atwiki.jp/cod4mod/pages/64.html
Overview Nodes are placed in Radiant and serve several purposes • To define spaces that can be navigated by AI (pathnodes) • To define locations where the AI can take cover (covernodes) • To define locations where an AI will play an animation or other scripted event (scripted nodes) • To define areas where the AI can navigate (traverse) a specific obstacle or space (negotiation nodes) ノードが Radiant に置かれて、そしていくつかの目的を満たします: AI(pathnodes)によってつき進まれることができるスペースを定義するために AIが援護行為(covernodes)をすることができるロケーションを明確にするために AI がアニメーションをプレーするであろうロケーションあるいは他の原稿どおりの事象(原稿どおりのノード)を明確にするために AIが操縦することができるエリア(横断)を定義するために、特定の障害物あるいはスペース(交渉ノード) Cover Nodes Cover Nodes will be used to define locations where friendly and enemy AI will try to take cover. Place nodes in Radiant by doing the following カバーノードがフレンドリーと敵のAIがカバーをとろうとするであろうロケーションを明確にするために使われるでしょう。 次のことをすることによって、ノードを Radiant に置いてください: 1. Place the node right click in the orthographic view pane and select "node -- cover -- type_of_node ". Deciding the type of cover node depends on the geometry where the node is placed (discussed below). 1.ノード:右クリックを orthographic ビューパネルに置いて、そして「ノード - > カバー - > type_of_node を -」選択してください。 ノードが置かれる(下に論じられます)カバーノード保有、ジオメトリ、のタイプを決定します。 2. Snap to grid it is usually good practice to make sure the node is snapped to the grid, especially if the node needs to be flush against geometry that is on the grid. Select the node and hit "ctrl + g" to snap it to whatever grid you have selected. 2.グリッドにスナップしてください:ノードがグリッドにスナップされることを確認すること、特にもしノード必要性であるならグリッドの上にあるジオメトリにつけてであることは通常良い習慣です。 ノードとヒット「Ctrl + g」をあなたが選択したどんなグリッドにでもそれをスナップするよう選んでください。 3. Point in a direction select the node and give it a direction using the angles buttons on the entity pane (shortcut n) or rotate the node using the shortcut “shift + d”. The node should be pointing in the direction of the cover geometry itself. 3.方向でのポイント:ノードを選択して、そしてそれに方向使用方法、エンティティパネル(ショートカット:n歳)の上のアングルボタン、を与えるか、あるいはノード使用、ショートカット「変化 + d」、を回転させてください。 ノードはジオメトリ自身をカバーの方向に向けているべきです。 4. Preview You can preview roughly how the AI will look at the node by cycling through the "cycle preview model" button in the top right of the icon toolbar at the top of Radiant. 4.プレビュー:あなたは、 Radiant. のトップの聖像ツールバーの右上端に「循環プレビューモデル」ボタンを巡回することによって、およそAIがノードを見るであろう方法をプレビューすることができます 5. Set special properties (optional) In the case of certain cover nodes such as cover_left and cover_right, the designer can specify that the AI will only stand or crouch at the node by selecting ticking the DONT_STAND or DONT_CROUCH checkboxes in the entity property pane. 5.(オプションの)特別なプロパティを設定してください: cover_left と cover_right のようなある特定のカバーノードに関しては、設計者は、エンティティプロパティパネルで DONT_STAND あるいは DONT_CROUCH チェックボックスにチェックして選択することによって、ノードにおいてAIがただ立つだけであるか、あるいはかがむであろうことを明示することができます。 Cover Nodes Types node_cover_crouch AI will lean and crouch against this cover and pop up to engage enemies. Place cover_crouch nodes flush against the surface behind which the AI will take cover and rotate to point in the direction of the cover geometry. 36 units high is a good standard height for this type of cover to ensure the AI is concealed but can still fire over it effectively. node_cover_crouch AIが寄りかかって、そして敵を引き込むために上へこのカバーとポップに対してかがむでしょう。 それの後ろにAIが指さすのにカバーと回転を要するであろう表面に対して平らな cover_crouch ノードをカバージオメトリの方向に置いてください。 36のユニット最高がAIが隠されることを保証するこのタイプのカバーのための良いスタンダード全高です、しかし効果的にそれの上に発砲を静かにさせることができます。 node_cover_stand AI will lean against this cover and pop up to engage enemies. Place this node flush against the surface behind which the AI will take cover and rotate to point in the direction of the cover geometry. 48 units high is a good standard height for this standing cover to ensure the AI is concealed but can still fire over it effectively. node_cover_stand AIが敵を引き込むために上へこのカバーとポップに対して傾斜するでしょう。 それの後ろにAIが指さすのにカバーと回転を要するであろう表面に対して平らなこのノードをカバージオメトリの方向に置いてください。 48のユニット最高がAIが隠されることを保証するこの永続的なカバーのための良いスタンダード全高です、しかし効果的にそれの上に発砲を静かにさせることができます。 node_cover_prone AI will lay prone and engage enemies. Place this node on relatively flat surfaces and rotate in the direction where the AI will fire. node_cover_prone AIが敵がうつ伏せになるように置いて、そして引き込むでしょう。 このノードを比較的平面と回転の上にAIが発砲するであろう方向に置いてください。 node_cover_right/left Used for standing cover where the AI will strafe out from behind to engage enemies. Useful for doorways and corners. The "right" and "left" refer to which direction the AI will strafe out to reveal themselves as they engage the enemy. Facing a doorframe, for example, a node_cover_right would be placed on the left side of the door frame. Place this node flush against the surface behind which the AI will take cover and rotate to point in the direction of the cover geometry. node_cover_right/left AIが敵を引き込むために後ろから外に機銃掃射するであろう立ったままのカバーのために使われます。 出入り口とコーナーのために有用です。 「右翼」と「左翼」はそれらが敵を引き込むようにAIが(彼・それ)ら自身を開示するために外にどの方向を機銃掃射するであろうかについて言及します。 doorframe に直面して、例えば、 node_cover_right がドア列の左側の上に置かれるでしょう。 それの後ろにAIが指さすのにカバーと回転を要するであろう表面に対して平らなこのノードをカバージオメトリの方向に置いてください。 Concealment Nodes Use concealment nodes instead of cover nodes in areas where there is no solid geometry for the AI to lean against (such as vegetation or terrain irregularities). Keep in mind that these nodes are not very attractive to the AI due to their placement near weak cover, so they will tend to seek out solid cover nodes instead. Right click in the orthographic view pane and select "node -- concealment -- type_of_concealment_node ". (植物あるいは地形不規則さのように)傾斜するべきAIのためのソリッドジオメトリがないところ(に・で)カバーノードの代わりに地域で隠匿ノードを使ってください。 これらのノードが弱いカバーの近くで(彼・それ)らの配置のためにAIにそれほど魅力的ではありません、それでそれらがその代わりにソリッドカバーノードを探し求める傾向があるであろうということを念頭においてください。 orthographic ビューパネルを右クリックして、そして「node - > concealment - > type_of_concealment_node 」を選択してください。 Pathnodes Place pathnodes at regular intervals (128 units) throughout the map to define the areas where the AI can navigate. For example, if an AI wishes to navigate to a cover_crouch node 500 units away to take cover, there will need to be enough node_pathnodes between himself and the destination, otherwise there will be console errors warning you that he cannot successfully navigate. AIが操縦することができるエリアを定義するためにマップを通じてパスノードを通常の間隔(128のユニット)に置いてください。 例えば、もし AI が cover_crouch ノードにナビゲートすることを望むなら、そこにカバーをとるために、離れている500のユニットが必要性が彼自身と目的地の間に十分な node_pathnodes であるのを可能にして、さもなければそこにあなたに彼が成功裏にナビゲートすることができないことを警告するコンソールエラーでしょう。 1. Place the nodes Right click in the orthographic view pane and select "node -- pathnode". Place pathnodes at regular intervals (128 units) throughout the map and ensure they do not overlap with any other nodes. 1.ノード:右クリックを orthographic ビューパネルに置いて、そして「ノード - > パスノード -」を選択してください。 マップを通じてパスノードを通常の間隔(128のユニット)に置いて、そしてそれらが他のいかなるノードとも重ならないことを保証してください。 2. Test Node Placement Ensure that the "connect paths" checkbox is selected in CoD4 Compile Tools hit the "compile bsp" button. When the map is loaded, bring down the console and type ai_shownodes 1, then fly around the map (type cg_ufo in the console) to see if all of the paths are properly connected (see picture below). Examine the cyan colored navigation mesh that has been created. and look for red "X" marks which indicate a node that the AI cannot reach.To view more of the mesh at a time, type ai_shownodesdist 1024 (or some other high number). 2.テストノード配置:「連結パス」チェックボックスが CoD4 コンパイルツール瞬断、「コンパイル bsp」ボタン、に選択されることを保証してください。 マップがロードされるとき、下にコンソールを持って来て、そして ai_shownodes 1をタイプしてください、それからパスのすべてが適切に接続されているかどうか見る(下にピクチャを見ます)ためにマップ(コンソールでのタイプ cg_ufo)のまわりを飛びまわってください。 AIが reach.To することができないノードを指し示す「X」マークがいっそうメッシュについて一度に見る赤、タイプ ai_shownodesdist 1024(あるいは何か他の高い数)のための created. と外見であったシアン色のナビゲーションメッシュを調べてください。 3. Refine Node Placement Add or remove nodes to make an efficient navigation mesh. For nodes that appear as red "X" marks, it usually means there needs to be one or more pathnodes added to reach it, or it is in an inaccessible location. If the node in question is behind a barrier or on an elevated shelf where the AI would need to climb, it may require the use of a negotiation node (traverse) prefab (explained below). 3.ノード配置を改善してください:効率的ナビゲーションをメッシュにするためにノードを加えるか、あるいは取り去ってください。 赤い「X」マーク、1つであることは通常そこに必要性を意味する、あるいは pathnodes がそれ、あるいはそれに届くために加えたさらに多くがアクセスできないロケーションであるように、現われるノードのためです。 もし問題のノードがAIがそうするであろうところ(に・で)防護壁の後ろあるいは高尚なシェルフの上であるなら、登るべき必要性、それは(下に説明された)交渉ノード(横断)プレハブの使用を必要とするかもしれません。 Viewing the navigation mesh creates by pathnode placement in-game using ai_shownodes 1 and ai_shownodesdist 1024 ナビゲーションメッシュがパスノード配置ゲーム内使用 ai_shownodes 1と ai_shownodesdist 1024のそばに引き起こす表示 Setting Default Nodes AI that are present upon map loading (or that are spawned during map progression) can be targeted to a specific node that they will navigate to. 存在している設置デフォルト Nodes AIがマップロードの上です(あるいはそれマッププログレッションの間に生成されます)それらがナビゲートするであろう特定のノードに対象を定められることができる. 1. Create a test map with a network of path nodes and several different cover nodes. 1.パスノードといくつかの異なったカバーノードのネットワークでテストマップを作成してください。 2. Place several friendly AI in the map and set them as spawnersfrom a spawn trigger. 2.スポーントリガーを spawnersfrom するようにいくつかのフレンドリーAIをマップに置いて、そしてそれらを設定してください。 3. Target a friendly AI to a specific cover node by selecting the AI, then the node, then using the shortcut for ConnectSelection ( usually "W" by default). You should see a colored line appear between the AI and the targeted node. 3.AI、それからノード、それから使用、 ConnectSelection のためのショートカット(通常棄権による「W」)、選択することによって、特定のカバーノードにフレンドリー AI の対象を定めてください。 あなたは着色されたラインがAIと目標を定められたノードの間に現われるのを見るべきです。 4. Repeat this targeting process for other AI in the map, targeting different cover nodes (or path nodes). 4.異なったカバーノード(あるいはパスノード)に目標を定めて、マップで他のAIのこの目標設定プロセスを繰り返してください。 5. Compile the BSP (ensure that the "connect paths" checkbox is selected) and observe where the friendly AI navigate to upon spawning. 5.BSPをコンパイルしてください(「連結パス」チェックボックスが選択されることを保証してください)、そして産むや否やフレンドリーAIがナビゲートするところがそうするのに気付いてください。 Negotiation Node (Traverse) Prefabs There are several prefabs that contain pre-made negotiation node combinations and settings that are to be used for specific AI navigation requirements such as hopping over a low wall, sliding over a car, jumping off a ledge, etc. 低レベルの壁を越えて飛び乗ること、車両の上に滑ること、岩棚からジャンプすることなどのような特定のAI航法要求事項のための使われるはずである既成交渉ノード結合と設定値を含んでいるいくつかのプレハブがあります。 Launch Radiant and open the test map "test_traverses.map" located in map_source to examine each type of traverse prefab. You can also run this map in-game and observe how each AI navigates over specific obstacles using the traverse prefab (approach each obstacle to spawn the individual AI that will navigate across it). Radiant を始動して、そしてそれぞれのタイプの横断プレハブを調べるために map_source に置かれているテストマップ「test_traverses.map」を開いてください。 あなたは同じくこのマップゲーム内行なって、そしてそれぞれのAIがどのように特定の障害物の上に使用、横断プレハブ、を通り抜けるか観察する(それの向こう側にナビゲートするであろうスポーン、個別のAI、にそれぞれの障害物に接近します)ことができます。 With the map open, the traverse prefabs are (as pictured left to right in the screengrab above) マップが開いているという状態で、横断プレハブは(右に上記の screengrab に残されているのを想像されるように)です: • jumpdown_96.map - AI will jump down from a 96 unit high ledge • jumpdown_56.map - AI will jump down from a 56 unit high ledge • jumpdown_40.map - AI will jump down from a 40 unit high ledge • stepup_52.map - AI will step up to a 52 unit high ledge • wall_over_40.map - AI will hop over a 40 unit high wall • window_over_40.map - AI will hop over a 40 unit high window frame • slide_across_car.map - AI will slide across a car hood Placing a traverse prefab • jumpdown_96.map - 96の単位最高水平棚から下へのAI意志ジャンプ • jumpdown_56.map - 56の単位最高水平棚から下へのAI意志ジャンプ • jumpdown_40.map - 40の単位最高水平棚から下へのAI意志ジャンプ • stepup_52.map - AIが52の単位最高水平棚に歩み寄るでしょう • wall_over_40.map - AIが40以上の単位最高の壁をひょいと跳ぶでしょう • window_over_40.map - AIが40以上の単位最高ウィンドウフレームをひょいと跳ぶでしょう • slide_across_car.map - AIが横断プレハブを置いている自動車ボンネットの向こう側に滑るでしょう 1. Select traverse prefab right clicking in the orthographic view pane and select "misc -- prefabs". In the dialog box, navigate to \map_source\prefabs\traverse and select an appropriate traverse prefab. 1.選り抜きの横断プレハブ: orthographic ビューパネルを右クリックしていて、そして選り抜きの「misc - > prefabs」の。 問答で、ボックス、\に map_source \ prefabs \ traverse をナビゲートして、そして適切な横断プレハブを選択してください。 2. Place prefab Place the prefab on the geometry/obstacle using the test map "test_traverses.map" as a reference. Be sure to rotate the prefab in the direction in which the AI should approach it (the arrows on the negotiation nodes point in the direction the AI will execute the traverse). Ensure there are enough path nodes to allow AI to navigate to the traverse. 2.場所プレハブ:レファレンスとしてプレハブをジオメトリ / 障害物使用、テストマップ「test_traverses.map」、の上に置いてください。 AIがそれに接近するべきである方向(ノードが方向、AI、に向ける交渉に関する矢印は横移動部を実行するでしょう)でプレハブを回転させることを確かにしてください。 横断にナビゲートするべきAIを許すのに十分なパスノードがあることを保証してください。 (Original "http //www.infinityward.com/wiki/index.php?title=Nodes") 名前 すべて読む
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Star Trek Enemy Unseen (Star Trek Next Generation (Unnumbered)) Dc ComicsKeith R. A. DeCandido? Wildcats Serial Boxes (Wildcats) Dc ComicsJoe Casey? Scooby- Doo All Wrapped Up! (Scooby-Doo (Graphic Novels)) Dc ComicsChris Duffy?Terrance Griep?Bill Alger?Mike Decarlo? Daffy Duck You're Despicable! Dc ComicsTerry Collins?Michael Eury?Chuck Kim?Terry Laban?Barry Liebmann?Bill Matheny?Jesse Leon McCann?Frank Strom?David Cody Weiss?David Alvarez? Bugs Bunny What's Up Doc (Bugs Bunny (Graphic Novels)) Dc ComicsTerry Collins?Michael Eury?Terry Laban?Barry Liebmann?Bill Matheny?David Cody Weiss?Craig Boldman?David Alvarez? Superman Gen Thieteen Dc ComicsAdam T. Hughes?Lee Bermejo?John Nyberg? Crimson Earth Angel (Crimson) Dc ComicsBrian Augustyn?Humberto Ramos?Sandra Hope? Jenny Sparks The Secret History of the Authority Dc ComicsMark Millar?John McCrea? Star Trek Voyager Encounters With the Unknown (Star Trek Voyager (DC Comics)) Dc ComicsNathan Archer?Jeff Mariotte? Jla Foreign Bodies Dc ComicsLen Kaminski?Val Semeiks? Land Of The Blindfolded 1 (Land of the Blindfolded (Graphic Novels)) Dc ComicsTsukuba Sakura?Sheldon Drzka? Land Of The Blindfolded 2 (Land of the Blindfolded (Graphic Novels)) Dc ComicsTsukuba Sakura? Land of the Blindfolded 3 (Land of the Blindfolded (Graphic Novels)) Dc ComicsTsukuba Sakura? Land Of The Blindfolded 4 (Land of the Blindfolded (Graphic Novels)) Dc ComicsTsukuba Sakura? Land of the Blindfolded 5 (Land of the Blindfolded (Graphic Novels)) DC ComicsTsukuba Sakura? Madara 1 (Madara) Dc ComicsTajima Sho-u? Madara 2 (Madara) Dc ComicsSho-U Tajima?Eiji Otsuka? Madara 3 (Mandara) Dc ComicsEiji Otsuka?Sho-U Tajima? Madara 4 (Madara) Dc ComicsEiji Otsuka?Sho-U Tajima? Madara 5 (Madara) DC ComicsEiji Otsuka?Sho-U Tajima? Dc's Greatest Imaginary Stories Dc ComicsOtto Binder?John Broome?Leo Dorfman?Bill Finger?Edmond Hamilton?Jim Shooter?Jerry Siegel? Robo-hunter Day Of The Droids (Robo Hunter) Dc ComicsJohn Wagner?Ian Gibson? Planetary The Fourth Man Dc ComicsWarren Ellis?John Cassaday?John Layman? Swan 3 (Swan (Graphic Novels)) Dc Comicsariyoshi Kyoko? Swan 4 (Swan (Graphic Novels)) DC Comicsariyoshi Kyoko? Swan 5 (Swan (Graphic Novels)) DC Comicsariyoshi Kyoko? Musashi #9 (Mushashi) Dc ComicsTakahashi Miyuki?Tony Ogasawara? Musashi #9 (Musashi #9) Dc ComicsTakahashi Miyuki?Tony Ogasawara? Musashi #9 #9 (Musashi #9) Dc ComicsTakahashi Miyuki?Tony Ogasawara? Musashi 9 (Musashi) DC ComicsTakahashi Miyuki? The Devil Does Exist (Devil Does Exist) Dc ComicsMitsuba Takanashi?Takanashi Mitsuba?Michael Niyama? The Devil Does Exist Vol'2 (Cmx) Dc ComicsTakanashi Mitsuba?Michael Niyama? Devil Does Exist 3 (Devil Does Exist) DC ComicsTakanashi Mitsuba?Michael Niyama? Gals! (Gals!) Dc Comicsfujii Mihona?Sheldon Drzka? Gals! (Gals!) Dc Comicsfujii Mihona?Sheldon Drzka? Gals! 3 (Gals!) DC Comicsfujii Mihona? Kamikaze Kaito Jeanne (Kamikaze Kaito Jeanne) Dc ComicsArina Tanemura?Sheldon Drzka? Planetary All over the World and Other Stories Dc ComicsWarren Ellis?John Layman?John Cassaday? Tenjho Tenge 2 (Tenjho Tenge) Dc ComicsOh! Great? Tenjho Tenge 3 (Tenjho Tenge) DC ComicsOh! Great? Tenjho Tenge 4 (Tenjho Tenge) DC ComicsOh! Great? Coup D'etat "The Time For Warnings Is Long Past..." Dc ComicsEd Brubaker?Joe Casey?Robbie Morrison?Micah Wright?Jim Lee?Carlos D Anda?Ale Garza?Whilce Portacio? Tom Strong Collected Edition (Tom Strong) Dc ComicsAlan Moore?Peter Hogan?Geoff Johns? A B C Warriors The Meknificent Dc ComicsPat Mills?Mike McMahon?Brendan McCarthy?Kevin O Neill? Sinister Dexter Murder 101 (Sinister Dexter) Dc ComicsSimon Davis?Dan Abnett? Bad Company Goodbye, Krool World! Dc ComicsPeter Milligan?Brett Ewins?Jim McCarthy?Steve Dillon? Rogue Trooper The Future Of War Dc ComicsGerry Finley-Day?Dave Gibbons? Devlin Waugh Red Tide Dc ComicsJohn Smith?Sean Phillips? Skizz Dc ComicsJim Baikie?Alan Moore? Judge Dredd Dredd Vs. Death (Judge Dredd (Graphic Novels)) Dc Comicsjohn Wangner?Alan Grant?Brian Bolland?John Wagner? Nikolai Dante The Great Game Dc ComicsRobbie Morrison?Charlie Adlard?Andy Clarke? Orion The Gates of Apokolips (Simonson, Walter. Chronicles of Red Orion.) Dc ComicsWalter Simonson?Jack Kirby? Strontium Dog The Early Cases (Strontium Dog) Dc ComicsCarlos Ezquerra?John Wagner?
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2008/7/22 インディアナ州 インディアナポリス 会場:Conseco Fieldhouse <写真> http //www.david-cook.org/PHOTOS-July-22-AI-TOUR-Indianopolis-t10874.html http //www.flickr.com/photos/lisatodd/sets...57606342439535/ <ニュース・インタビューなど> http //www.david-cook.org/Idol-Top-10-in-Indy-t10872.html (http //fox59.trb.com/) http //www.david-cook.org/Idol-singers-win-by-losing-themselves-in-the-music-t10871.html (http //www.indy.com/posts/10094) http //www.1070thefan.com/kravitzandeddie/podcast.aspx (インタビュー動画?うちではエラーが出て見れない~) http //news.cincinnati.com/apps/pbcs.dll/article?AID=/20080724/ENT03/307240003/1025/ENT referrer=NEWSFRONTCAROUSEL GID=RgUu/OcCsyoQJZ3NoWyDIRi2JleEuPxyVJLB56Zz51c%3D (良くないレビューのようです・・・) <総合> http //www.david-cook.org/7-22-Conseco-Fieldhouse-Indianapolis-IN-t10744.html (Rickey.org Live Blog) http //www.david-cook.org/Tuesday-7-22-Indianapolis-IN-American-Idols-Live-Tourri-t10790.html <ファンレビュー> http //www.david-cook.org/The-AI-concert-in-Indy-t10883.html http //www.david-cook.org/My-little-Indianapolis-experience-t10899.html <動画> ☆My Hero http //www.youtube.com/watch?v=iTVpC4yBZtM http //ca.youtube.com/watch?v=seq8wd7xjLI ☆BJ http //www.youtube.com/watch?v=rsP0mbBIsug http //www.youtube.com/watch?v=R5rTyuUXx2I (ダウンロード) http //www.megaupload.com/?d=FJ0CODWO ☆Hello http //www.youtube.com/watch?v=0Vom73sqphw http //www.youtube.com/watch?v=-B22iTJfm7o (ダウンロード) http //www.megaupload.com/?d=MYIO38FX ☆TOML (and Who boos safety?) http //vids.myspace.com/index.cfm?fuseaction=vids.individual videoid=39131694 ☆Don t Stop The Music - American Idol http //www.megaupload.com/?d=P41V4JD6 http //ca.youtube.com/watch?v=NfhohB0jECk
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Syndrome 読み シンドローム 活動時期 2000年 - 2002年 活動範囲 所属 Matina 解説 バイオグラフィ ディスコグラフィ第一章 第二章 メンバー龍夜 - Vocal 浅葱 - Vocal Ruiza - Guitar Ken - Guitar SIN - Guitar KISAKI - Bass 紫音 - Drums 関連項目 外部リンク コメント バイオグラフィ 2000年1月 - KISAKIを中心に結成された。 2001年6月 - メンバーチェンジ。 2002年11月 - 無期限活動休止。 ディスコグラフィ 第一章 DemoTape SEXUAL 蟷 ~age1945~ Vogue De≠Light Single 兎と羊 涙の下弦 fiction SLEPT DOLL 兎と羊 (NEW VERSION) Nostalgia …if ~reflect yourselves~ DEARS... Mini album 蘇生 Video 症候群 FILM:I 症候群 FILM:II thread of promise 症候群 FILM:III conpletionXXXFirst episode 症候群 FILM:IV V.A. PRELUDE destruction of SEXUAL Shock Edge 2000 FUTURE INVASION DREAM I PRELUDE 2 ~en effort of resalt~ B.J maniac THROUGH ALL ETERNITY PRELUDE ~Third Stage Limited Edition~ 第二章 DemoTape 存在理由 ~reison d etle~ Single Megaromania アルビノ ~ACOUSTIC VERSION~ 小夜時雨 死街譚 Mini album CORE 「-黒夜現-」 CORE 「-白昼夢-」 CORE -editional selections- Video official Bootleg I official Bootleg II ~silver~ official Bootleg III ~水中花~ official Bootleg IV ~I never lose -極彩色の悪夢- a part entierr Le cirque de soir V.A. PRELUDE:IV ~an illusion of iridescent~ メンバー 龍夜 - Vocal CRESCENT→Syndrome→ELECTNINE http //www.audioleaf.com/electnine/ 浅葱 - Vocal JE*REVIENS→Syndrome→D Ruiza - Guitar Distray→Syndrome→D Ken - Guitar CRESCENT→Syndrome→メリー SIN - Guitar Vasalla→Syndrome→D KISAKI - Bass MIRAGE→Syndrome→Phantasmagoria 紫音 - Drums Distray→Syndrome→Shelly Trip Realize 関連項目 胡蝶 Ruiza 紫音 KISAKI PROJECT 妃&関西貴族 外部リンク 公式ウェブサイト びじゅなび内のSyndromeページ 飯島竜也のホームページ ASAGI s Diary Ruiza s Diary KISAKI「地下線神言基地」blog YouTube 第一章 Deep Sky (PV) 涙の下弦 (LIVE CLIP) Nostalgia (PV) 第二章 アルビノ (PV) 夢現 (PV) 水中花 (LIVE CLIP) コメント 名前 コメント
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No kana for this title [ TAG Alp-A E-A Meiko Rin Shu-tP title] Music Shu-tP/shu-tP Lyric Shu-tP/shu-tP Arrange Shu-tP/shu-tP Vocal Kagamine Rin,MEIKO Videos PVs Kagamine Rin version AIMS -N2D RK mix- ■ Show/Hide Video http //www.nicovideo.jp/watch/sm9217054 http //www.nicovideo.jp/watch/sm9217054 MEIKO version AIMS -Short Length- ■ Show/Hide Video http //www.nicovideo.jp/watch/sm9247945 http //www.nicovideo.jp/watch/sm9247945 MEIKO Rin version AIMS -Full Length- ■ Show/Hide Video http //www.nicovideo.jp/watch/sm9268047 http //www.nicovideo.jp/watch/sm9268047 Translations ■ Show/Hide Romaji nakidashi soo na kao namida wo fuite ageru airaku wo samayou te wo nigiri kanjita aiin wo fukunda kimi no kotoba happou fusagari de shiroku naru ten wo aoida kimi utsuru mono wa awai iro shita hikari tachi kiete yuku kioku ni mimuki mo sezu nigedasu koto mo naku maemukini ushinatta hikari wo torimodosu tame kimi wa tamerawazu ni aruki dasu subete wo uchikowashi kiboo no michi wo hiraite asu wo mite aruki dasu moo nani mo osorenai hitomi no oku ni shinjiru sekai ga aru kagayaite subete wo uchikowashi... hiraite asu wo mite aruki dasu moo nani mo osore nai... shinjiru sekai ga aru kagayaite Lalala... 2010-01-25 Checked by damesukekun 2010-01-25 23 56 Generated automatically [部分編集] ■ Show/Hide Translation AIMS 2010-01-26 First Entry 2010-01-26 00 39 06 (Tue) Last update Trasnlated by damesukekun Title AIMS Lyric You make an about-to-cry face I ll wipe your tears You wander between sorrow and pleasure I hold your hand and feel them Your words are pathetic They run into a brick wall and turn white You look up at the sky What your eyes see is the pieces of light of faint colors You don t even give a glance at the fading memories You don t get away, and raise your head You start to walk without hesitation To take the lost light back You break everything, you open the way of hope And start to walk looking at tomorrow You fear nothing more cause you have the world to believe In the deep of your eyes, the world showing its brightness You break everything You open everything and start to walk looking at tomorrow You fear nothing more Cause you have the world to believe, The world showing its brightness Lalala... Note This translation is by permission of the composer. 作者様のご了解のもと翻訳しました。 Comment If you have any advise or opinion for this post please write here.この投稿に対して助言、ご意見などありましたらこちらに書き込んで下さい。 Name Comment すべてのコメントを見る Last modified 2010-01-26 00 39 06 (Tue) Original Lyric, Nicosound MP3, etc http //www5.atwiki.jp/hmiku/pages/7973.html AIMS -N2D RK mix- http //nicosound.anyap.info/sound/sm9217054 http //www.nicomimi.com/play/sm9217054 AIMS -Short Length- http //nicosound.anyap.info/sound/sm9247945 http //www.nicomimi.com/play/sm9247945 AIMS -Full Length- http //nicosound.anyap.info/sound/sm9268047 http //www.nicomimi.com/play/sm9268047 Sub video, PV, other fan made video in YouTube http //www.youtube.com/watch?v=jKqVmqOR6HI -N2D RK mix- http //www.youtube.com/watch?v=9BMggviPYWE -Short Length- [Add] http //www.youtube.com/watch/xxxxxxxxx ADD LINK すべてのコメントを見る http //www.youtube.com/watch?v=9BMggviPYWE -Short Length- http //www.youtube.com/watch?v=jKqVmqOR6HI -N2D RK mix- (Information in this page is based on HatsuneMiku@Wiki) _
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Market Scenario The data experts at Market Research Future Reports (MRFR) have analysed the global B2B Telecommunication Market Research is estimated to record a CAGR of 14% during the assessment period from 2017 to 2023. The adoption of IoT across various verticals is estimated to drive the global B2B Telecommunication Market Research 2020. Novel coronavirus has B2B Telecommunication Market Research to open new avenues for those firms that are on the lookout for solutions that are reliable, efficiently managed, scalable, and are subscription-based, to remain more focused on the core business. The B2B Telecommunication Market is bearing lesser impact of the COVID-19 outbreak compared to most other segments of the tech world. IoT is gaining momentum for being cost-efficient. Besides, being cost-efficient, it also provides other advantages such as machine to machine (M2M) communication and wireless transactions to the users. In addition, the service of data storage and the reachability of the telecom network in distant zones is additionally propelling the market expansion. With the adoption of B2B telecommunication, the enterprises avoid their travel expenses by performing face-to-face meetings through teleconference. Furthermore, fast industrialization and urbanization are enhancing the demand further. In addition, increased volumes of system data, volumes of text, video, and voice are estimated to advance the B2B telecommunication market. Furthermore, the increment of customized products and services portfolio is estimated to be potential factors posing opportunities of expansion during the review period. COVID-19 Analysis The business impact of SARS-CoV-2 has been felt across diverse sections of the information technology industry, albeit at different levels. Companies in the technology sector that supply services for verticals like travel, retail, hospitality, and entertainment have noted a dramatic decrease in sales, while the firms that provide services related to remote worker solutions have observed the opposite. B2B Telecommunication Market ’s fate post pandemic has been relatively less grim compared to Education Services (ES) and Professional Services (PS) that are mostly dependent on components that are generally on-site. In a nutshell, COVID-19 impact on managed services has been fruitful, with the market growth enhanced than before. Given the prevalent lockdown situation, managed services vendors are now investing heavily in remote-centric worker solutions, which can make the market highly resilient in the coming years, even as the world is currently rushing to achieve a COVID-19 breakthrough. Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/5953 Competitive Outlook The established organization of the worldwide B2B telecommunication market are Deutsche Telekom AG (Germany), Amdocs Ltd (U.S.), Comarch S.A. (Poland), NTT Communications (Japan), AT T Inc. (U.S.), Orange S.A. (France), Vodafone Group PLC (The U.K), Cisco Systems, Inc. (U.S.), Verizon Communications Inc. (U.S.), Telstra Corporation Limited (Australia), and a few others. Segmentation On the grounds of deployment, the worldwide B2B telecommunication market can be divided into fixed and mobile. On the grounds of the solution, the worldwide B2B telecommunication market can be segregated into WAN solution, unified communication, and collaboration, M2M communication, VoIP (Voice over Internet Protocol), and cloud services. On the grounds of application, the worldwide B2B telecommunication market can be divided into industrial, and commercial. On the grounds of organization size, the worldwide B2B telecommunication market can be divided into small medium enterprises and large enterprises. On the basis of geography, the worldwide B2B telecommunication market can be segregated into North America, Europe, Asia Pacific, and Rest of the World (RoW). Regional Analysis As per the report, the global market is estimated to expand significantly during the review period. The experts have revealed that the global market is likely to be dominated by North America. North America is anticipated to procure the maximum market share during the assessment period. The region is blooming due to the fast adoption of cloud and VoIP services. On the other side, the Asia-Pacific region is projected to grow at the swiftest pace during the review period. The presence of developing countries like India, China, and South Korea is projected to play a crucial role during the review period. The emerging countries are investing massively in the media and entertain sector, which is predicted to bloom the market exponentially during the assessment period. However, the market dynamics are estimated to change significantly, owing to the spread of coronavirus. The data experts at MRFR are analysing the market and the impact of coronavirus on the global B2B telecommunication market. The impact of COVID-19 is projected to bring a substantial impact on the global economy. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/b2b-telecommunication-market-5953 Table of Contents 1Executive Summary 2Scope of the Report 2.1Market Definition 2.2Scope of the Study 2.2.1Research objectives 2.2.2Assumptions Limitations 2.3Markets Structure Continued…. List of Tables Table 1 Global B2B Telecommunication Market By Region, 2020-2027 Table 2 North America B2B Telecommunication Market By Country, 2020-2027 Table 3 Europe B2B Telecommunication Market By Country, 2020-2027 Continued… List of Figures FIGURE 1 Global B2B Telecommunication Market Segmentation FIGURE 2 Forecast Methodology FIGURE 3 Five Forces Analysis of Global B2B Telecommunication Market Continued… Trending #MRFR Report** https //ictmrfr.blogspot.com/2022/04/geofencing-market-companies-growth-with.html https //blogfreely.net/pranali004/telecom-expense-management-market-size-impressive-cagr-changing-business-scope https //postheaven.net/pranali004/financial-app-industry-impressive-cagr-changing-business-needs-scope-of https //market-research-future.tribe.so/post/openstack-service-market-research-impressive-cagr-changing-scope-of-current--6263de46791566c10c79891e https //www.scutify.com/articles/2022-04-24-infrastructure-as-a-service-industry-cagr-changing-business-scope-of-current-and-future-industry- About Market Research Future Market Research Future (MRFR) has created a niche in the world of market research. It is counted among the top market research companies that offer well-researched and updated market research reports and insights to businesses of all sizes. What sets us apart is our super-responsive team that offers quality work keeping clients abridged of the prospective challenges and opportunities in various markets. Our team is adept in their space as well as patiently listens to every client. The best part is they know their work inside out and possess the expertise to guide the client in the right direction and achieve results on a tight deadline. We are a one-stop solution for all your data research needs. Our team does not believe in the “one size fits all” approach to creating a report that is detailed and concise. We handle 13 industry verticals including Healthcare, Chemicals and Materials, Information and Communications Technology, Semiconductor and Electronics, Energy and Power, Food, Beverages Nutrition, Automobile, Consumer and Retail, Aerospace and Defense, Industrial Automation and Equipment, Packaging Transport, Construction, and Agriculture. With our unique approach for every market report, we aim to reach the zenith in qualitative business intelligence and syndicated market research. Contact Market Research Future (Part of Wantstats Research and Media Private Limited) 99 Hudson Street, 5Th Floor New York, NY 10013 United States of America 1 628 258 0071 (US) 44 2035 002 764 (UK) Email sales@marketresearchfuture.com Website https //www.marketresearchfuture.com
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Market Analysis The Data Discovery Market size is expected to register a robust CAGR during the forecast period. Data discovery is the methodology to gain meaningful business insights by collecting and evaluating raw from various data sources. This usually is used to identify the trends and patterns in an organization. Data discovery involves collecting, cleansing, or organizing the data in a predefined data structure and sharing it throughout the organization for further analysis. The data discovery applications include security risk management, sales marketing management, asset management, supply chain management, and others. The rising need to access sensitive information and maximize business productivity and compliance with data protection standards contribute to the data discovery market growth. However, this market growth is hampered by the rise in incidents of data breaches across the globe. The integration of business operations with data-driven insight creates support unities that can further boost the growth of the data discovery market. . Request a Free Sample @ https //www.marketresearchfuture.com/sample_request/10513 Market Segmentation The global data discovery market has been segmented based on component, deployment, organization size, functionality, application, and region. By component, the global data discovery market has been divided into solutions and services. The solution segment is further bifurcated into the process, preserve, present, identify, review, analyze, and collect produce. Additionally, the services segment is classified into professional and managed services. Based on the deployment, the global data discovery market is categorized into on-premises and on-cloud. By organization size, the global data discovery market has been divided into small medium enterprises and large enterprises. Based on functionality, the global data discovery market is segmented into visual data discovery, augmented data discovery, search-based data discovery, and self-service data preparation. By application, the global data discovery market is segmented into security risk management, sales marketing management, asset management, supply chain management, and others. The global data discovery market has been analyzed for five regions—North America, Europe, Asia-Pacific, the Middle East Africa, and South America. Regional Analysis The global data discovery market is projected to register a robust CAGR over the forecast period. The geographic analysis of the global data discovery market has been conducted for North America, Europe, Asia-Pacific, the Middle East Africa, and South America. North America is expected to be the dominating region in terms of the adoption of data discovery solutions services. The North American market has been segmented into the US, Canada, and Mexico. The US is expected to lead the country-level market, while Canada is projected to be the fastest-growing segment during the forecast period. The US market is expected to report the highest market share, owing to the factors such as demand for advanced data discovery solutions such as augmented and visual data discovery that utilizes artificial intelligence and big data analytics. Key Players The key players in the global data discovery market are IBM Corporation (US), Microsoft (US), Oracle (US), Salesforce.com, inc. (US), SAS Institute Inc. (US), Google (US), Amazon Web Services, Inc. (US), Micro Focus (UK), Thales (US), Cloudera, Inc. (US), Alteryx, Inc. (US), PKWARE, Inc. (US), Spirion, LLC. (US), Egnyte, Inc. (US), and Netwrix Corporation (US). Industry News In November 2020, PKWARE acquired Data guise, a company with innovative technology for businesses to discover and protect personal data stored across diverse IT systems and environments. The acquisition will expand PKWARE’s global footprint as it continues the operations of Data guise’s existing offices in the US, India, Europe, and Canada. In November 2020, Exonar partnered with Roc Technologies to assist organizations in uncovering and understanding the data landscape to add value to the life sciences, critical infrastructure, and higher education sectors. Browse Full Report Details @ https //www.marketresearchfuture.com/reports/data-discovery-market-10513 Table of Contents 1 Executive Summary 2 Scope of The Report 2.1 Market Definition 2.2 Scope of The Study 2.2.1 Research Objectives 2.2.2 Assumptions Limitations 2.3 Market Structure Continued… Similar Report*** https //writeonwall.com/internet-of-things-market-growth-key-players-with-product-particulars-applications-future-trend-business-growth-market-size-key-players-update-business-statistics-and-forecast-till-2030/ https //ict268262635.wordpress.com/2022/04/06/b2b-telecommunication-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ https //ict268262635.wordpress.com/2022/04/06/passport-reader-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ https //ict268262635.wordpress.com/2022/04/06/geospatial-market-major-application-third-party-usage-micro-market-pricing-analysis-and-geographical-analysis-forecast-to-2030/ About Market Research Future At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research Consulting Services. 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さくらのきせつ [ TAG L-S Miku NV_sm1427306 Romaji Title YuuyuP さ] Sakuranokisetsu-桜の季節 Music YuuyuP/ゆうゆP Lyric YuuyuP/ゆうゆP Vocal Hatsune Miku Videos PVs ■ Show/Hide Video http //www.nicovideo.jp/watch/sm1427306 http //www.nicovideo.jp/watch/sm1427306 Translations ■ Show/Hide Romaji sakura saku koro ni boku wa koko ni modoru to tikatta kimi to miageta sora o itumademo oboeteruyo anna ni kirei na hana wa nai yo to hasyaide ita yokogao kaze ni hukarete hanabira takaku takaku nobotteku toki ga sugite nagareta namida mo kawaite daremo ga hutari o wasurete simatte itemo sakura sakura maiodoru youni atatakai omoide tutumi sakura sakura sakasete okure ano hito no inai miti o hitori to iu nagai tabi ni boku wa mou tukare hatete kimi no nokosita kioku haru wa haruka tooku no basyo tada aitai huyu o koete kawaita namida mo kirameki nido to kaeranai kimi o wasurezu ni ikite ikuyo sakura sakura maiodoru youni boku no wagamama o kiite sakura sakura todokete okure hanabira ni omoi nose sakura sakura maiodoru youni atatakai omoide tutumi sakura sakura sakasete okure ano hito no inai miti o sakura sakura kimi no kotoba o boku wa ima koko de omoidasu sakura sakura kikoete kuru yo ano hi no arigatou [部分編集] ■ Show/Hide Translation ---- Waiting for Trasnlation Entry... Available Original Lyric, Nicosound MP3, etc http //www5.atwiki.jp/hmiku/pages/163.html http //nicosound.anyap.info/sound/sm1427306 http //www.nicomimi.com/play/sm1427306 Sub video, PV, other fan made video in YouTube [Add] http //www.youtube.com/watch/xxxxxxxxx ADD LINK すべてのコメントを見る (Information in this page is based on HatsuneMiku@Wiki) _