Kanon的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

The Sage in Relation: Familial Descriptions of the Sage in the Scribal Circles of Ben Sira and Cognate Literature

為了解決Kanon的問題，作者Montanaro, Andrew 這樣論述：

Die Reihe Deuterocanonical and Cognate Literature Studies (DCLS) widmet sich vornehmlich der Erforschung der Bücher der griechischen Bibel (Septuaginta), die nicht im hebräischen Kanon enthalten sind, sowie der zwischentestamentlichen und der frühen jüdischen Literatur aus der Zeit vom 3. Jahrhun

dert v.Chr. bis zum 2. Jahrhundert n.Chr. Die Reihe wurde 2007 in Zusammenarbeit mit der ＂International Society for the Study of Deuterocanonical and Cognate Literature＂ eröffnet. Sie bildet die passende Ergänzung zum Deuterocanonical and Cognate Literature Yearbook, das seit 2004 erscheint.

Kanon進入發燒排行的影片

運用深度學習於膝關節損傷核磁共振影像之人工智慧偵測與診斷模型

為了解決Kanon的問題，作者TRUONG NGUYEN KHANH HUNG 這樣論述：

Introduction: Efficient and accurate detection is vital for the diagnosis and treatment of knee injuries. In recent years, there is an increase in interest in deep learning (DL) approaches to detecting knee injuries in magnetic resonance imaging (MRI). Studies have shown that DL models are capable

of reaching the same level as human radiologists when it comes to sensitivity and specificity, while at the same time requiring significantly less training time. Current Artificial Intelligent (AI) - based systems are, however, still limited by many different factors, such as unbalanced classes in t

raining data, or the nature of these systems which makes false positives and false negatives almost an inevitability. There are multiple routes for improving upon the existing DL knee injury detection models. As they continue to become more and more advanced, it is expected that the use of these sys

tems will become more popular in the future.Method: In this study, we create multi models based on machine learning (ML) and DL algorithms to perform classification, recognition, and segmentation tasks on knee MRI. In which the two most important components in the knee joint in this study are the an

terior cruciate ligament (ACL) and meniscus.The first model, based on the DenseNet 121 neural network structure, was used to classify images with or without ACL injury. The dataset includes 799 knee MRI reports from Cho Ray Hospital (Vietnam). These MRI data were obtained from previous work in the h

ospital, containing knee MRI reports from 5 years (January 1st, 2015 – December 31st, 2019)Using the Faster-region convolutional neural network (Faster - RCNN) and several convolutional neural networks (CNN) backbone tests, such as VGG-16, Res-Net50, DenseNet-121, EfficientNet-B0, and EfficientNetV2

- B0 algorithms, the second group of models can recognize the ACL on knee MRI as a function of the typical imaging characteristics. This research collected 256 knee MRI examinations performed at Cho Ray Hospital, Ho Chi Minh City, Vietnam, between January 1, 2018, and December 31, 2020 (including t

raining and testing datasets).The third model focuses on automatic identification and classification of meniscus based on the Yolo-v4 object detection model. At the same time, the lesion location is also shown on images by the GRAD-CAM technique. The total number of subjects used in this study was 7

04 patients, including meniscus lesions and the control group. All MRIs in this study were collected before the surgery, and all had no prior surgical history. The MRI scanner at Cho Ray Hospital is MAGNETOM Skyra 3T (Siemen), and at Hoan My Hospital is 3.0T MRI Scanners SIGNA (GE Healthcare). In ad

dition, we also used a public dataset - MRNet dataset (validation dataset) from Stanford University Medical Center with 120 examinations for external testing.Results: The area under the ROC curve (AUC) for the ACL injury classification system was 80.63% with the axial plane and around 78% with both

the sagittal and coronal planes, respectively. All sensitivity and specificity point estimates of the proposed ACL injury detection system were all over 96%, indicating no significant differences in diagnostic performance between different planes.Our DL model detected meniscus tears with 91.4% accur

acy on the internal testing dataset, 89.2% accuracy on the external validation dataset, and 79.9% accuracy on the MRNet dataset, respectively. The meniscus tears were visualized by auto-enlarging the detection area and Grad-CAM images.Conclusion: This report describes the various approaches in knee

MRI experiments to provide different AI models for the prediction of knee injuries. The CNN model applied to classify injured ACL images had high sensitivity and specificity, showing that using a simple structured 2D-CNN is more effective for small datasets and can assist non-experts in assessing th

e assessment of ACL injuries. The proposed model applied to detect meniscus lesions had high accuracy and specificity, showing that our model can assist non-experts in assessing the assessment of meniscus injuries.

The Berlin Exchange

為了解決Kanon的問題，作者Kanon, Joseph 這樣論述：

From ＂the most accomplished spy novelist working today＂ (The Sunday Times, London), a ＂heart-poundingly suspenseful＂ (The Washington Post) espionage thriller set at the height of the Cold War, when a captured American who has spied for the KGB is returned to East Berlin, needing to know who arran

ged for his release and what they now want from him.Berlin, 1963. An early morning spy swap, not at the familiar setting for such exchanges, nor at Checkpoint Charlie, where international visitors cross into the East, but at a more discreet border crossing, usually reserved for East German VIPs. The

Communists are trading two American students caught helping people to escape over the wall and an aging MI6 operative. On the other side of the trade: Martin Keller, a physicist who once made headlines, but who then disappeared into the English prison system. Keller’s most critical possession: his

American passport. Keller’s most ardent desire: to see his ex-wife Sabine and their young son. The exchange is made with the formality characteristic of these swaps. But Martin has other questions: Who asked for him? Who negotiated the deal? The KGB? He knows that nothing happens by chance. They wan

t him for something. Not physics--his expertise is out of date. Something else, which he cannot learn until he arrives in East Berlin, when suddenly the game is afoot. Intriguing and atmospheric, with action rising to a dangerous climax, The Berlin Exchange ＂expertly describes what happens when a di

sillusioned former agent tries to come in from the cold＂ (The New York Times Book Review), confirming Kanon as ＂the greatest writer ever of historical espionage fiction＂ (Spybrary).

最後一次冰消期的南大洋動力學和上升流 ：模擬研究

為了解決Kanon的問題，作者高甘 這樣論述：

末次冰消期之（距今 (BP) 之前的 9 至 21000 年 (kyr)）氣候演變是了解氣候驅動力與反饋作用如何影響地球氣候的最佳時間。 南大洋通過湧升流與海洋表層水交換養分和富含碳的深海海水，並將表層海水的有機碳與無機碳帶入深水循環，上述過程在冰期氣候系統中發揮著重要作用. 然而，對推動南大洋湧升流的物理機制的理解仍在發展中. 本論文采用海氣耦合地球系統氣候模式, 在海盆尺度上研究了南大洋末次冰消期海洋-大氣-海冰-陸地表面的氣候演化時間序列. 此外, 本研究的重點是通過一系列的單一強迫力敏感實驗了解冰川變化在軌道日照、溫室氣體、大陸冰蓋和海洋淡水注入強迫力中對經向翻轉環流和南大洋洋流動力

學的作用.這項研究表明, 從南半球近地表西風帶、風切和南極海冰覆蓋範圍看來，從末次冰盛期 (19 至 20 kyr BP) 到海因里希事件 1（Heinrich I 14.7 至17.6 kyr BP）至 Younger Dryas（11.5 至 12.5 kyr BP事件，南大洋上升流主要是由風應力驅動的。然而, 在全新世開始期間(9 到 10 kyr BP), 結果顯示南大洋上升流增加而風切卻下降, 這表明尚有其它替代機制調節南大洋之湧升流強度。本研究的特別之處在於強調南極海冰融化和海水鹽度分層反饋的變化調節了區域海水密度並對南大洋的密度和浮力通量做出了改變, 並影響了南大洋的洋流動力.這

項研究表明：解釋全新世開始期間湧生流強度的增加.單一強迫力敏感性實驗顯示, 軌道日照的變化對南大洋末次冰消期間的湧升流強度為主控因素。北半球融冰造成的淡水注入通量在經向翻轉環流變化的上下分支中起主導作用.本論文的主旨在於了解南半球西風帶、海洋和南極海冰在南大洋緯度的動態聯繫，並指出最後一次冰消期間南大洋湧生流的變化是共同受控於風切應力與海水浮力通量的變化.