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標(biāo)題: Titlebook: Viral Molecular Machines; Michael G. Rossmann,Venigalla B. Rao Book 2012 The Editor(s) (if applicable) and The Author(s), under exclusive [打印本頁(yè)]

作者: Ingrown-Toenail    時(shí)間: 2025-3-21 18:36
書目名稱Viral Molecular Machines影響因子(影響力)




書目名稱Viral Molecular Machines影響因子(影響力)學(xué)科排名




書目名稱Viral Molecular Machines網(wǎng)絡(luò)公開(kāi)度




書目名稱Viral Molecular Machines網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Viral Molecular Machines被引頻次




書目名稱Viral Molecular Machines被引頻次學(xué)科排名




書目名稱Viral Molecular Machines年度引用




書目名稱Viral Molecular Machines年度引用學(xué)科排名




書目名稱Viral Molecular Machines讀者反饋




書目名稱Viral Molecular Machines讀者反饋學(xué)科排名





作者: BROOK    時(shí)間: 2025-3-21 22:10

作者: headlong    時(shí)間: 2025-3-22 01:47
pecifically, in the natural language processing domain, it has been shown that social biases persist in word embeddings and are thus in danger of amplifying these biases when used. As an example of social bias, religious biases are shown to persist in word embeddings and the need for its removal is
作者: Intractable    時(shí)間: 2025-3-22 06:56
Michael G. Rossmann,Venigalla B. Raocomplex problem, as many HIV infected individuals remain unaware of their infection status, leading to parts of HIV epidemics being undiagnosed and under-reported. We first present a method to learn epidemiological parameters from phylogenetic trees, using approximate Bayesian computation (ABC). The
作者: dowagers-hump    時(shí)間: 2025-3-22 10:07

作者: 品牌    時(shí)間: 2025-3-22 13:32

作者: Anticlimax    時(shí)間: 2025-3-22 17:27

作者: 不規(guī)則    時(shí)間: 2025-3-23 00:29

作者: 外星人    時(shí)間: 2025-3-23 03:13
Petr G. Leiman,Mikhail M. Shneiderge critically depends on natural language comprehension and production. Natural language concepts guide the interpretation of what we see, hear, read, or experience with other senses..In the first part of the paper, we illustrate the needed capabilities of cooperative dialog systems with a detailed
作者: hankering    時(shí)間: 2025-3-23 08:12

作者: octogenarian    時(shí)間: 2025-3-23 13:10

作者: 酷熱    時(shí)間: 2025-3-23 15:08
Dennis T. Brown,Raquel Hernandezbtained from hospitalization period and dependency score called as FIM (Functional Independent Measurement). The optimal therapies to maximize the outcome differs by each patient’s age, sex, disease, handicap, FIM and therapies. Non-experienced hospitals have a difficulty in improving the outcome. T
作者: Infiltrate    時(shí)間: 2025-3-23 20:53
Ming Luo text description. Compared with single-modal data, multimodal data can more fully express people’s opinions, and it also contains richer emotional information. Therefore, the task of multimodal sentiment analysis is gradually becoming a hot topic of current research. However, images and texts do no
作者: neolith    時(shí)間: 2025-3-23 23:20
Craig B. Wilen,John C. Tilton,Robert W. Doms simply disseminating the content over the network. VNDN supports only a pull-based data forwarding model. In the pull-based mode, the content is forwarded upon request. However, in critical situations, a push-based data forwarding model is essential to design in order to broadcast the critical data
作者: 千篇一律    時(shí)間: 2025-3-24 04:56

作者: defuse    時(shí)間: 2025-3-24 07:21

作者: 完全    時(shí)間: 2025-3-24 12:27
Kyung H. Choiand suffer from indeterminacy. In order to improve this situation, we split the image synthesis task into separate parts with predicting the layout of the scene as one of these tasks. We believe that it could be started with the background, which is usually determined by the location of the scene. G
作者: 榨取    時(shí)間: 2025-3-24 16:14

作者: Debrief    時(shí)間: 2025-3-24 20:16

作者: BOOST    時(shí)間: 2025-3-25 02:43

作者: GONG    時(shí)間: 2025-3-25 06:25

作者: 執(zhí)    時(shí)間: 2025-3-25 07:56

作者: Camouflage    時(shí)間: 2025-3-25 13:01

作者: 讓你明白    時(shí)間: 2025-3-25 17:13
Book 2012substantial infusion of new knowledge in recent years, which greatly elevated the fundamental mechanistic understanding of the respective molecular machine. The authors will be encouraged to simplify the detailed knowledge to basic concepts, include provocative new ideas, as well as design colorful
作者: 清楚說(shuō)話    時(shí)間: 2025-3-25 22:42

作者: Offstage    時(shí)間: 2025-3-26 01:14

作者: surmount    時(shí)間: 2025-3-26 04:21

作者: Digest    時(shí)間: 2025-3-26 10:02

作者: 打折    時(shí)間: 2025-3-26 14:42
Lipid-Containing Viruses: Bacteriophage PRD1 Assembly
作者: laceration    時(shí)間: 2025-3-26 16:55
used word embeddings, namely: Word2Vec, GloVe, and ConceptNet, it is shown that the preferred method is ConceptorDebiasing. Specifically, this technique manages to decrease the measured religious bias on average by 82.42%, 96.78% and 54.76% for the three word embedding sets respectively.
作者: 競(jìng)選運(yùn)動(dòng)    時(shí)間: 2025-3-26 23:34

作者: Digitalis    時(shí)間: 2025-3-27 03:30
Kazuhiko Kinosita Jr. four neural networks, MLP, LSTM, CNN and TextCNN. The experimental results show that the models using BertMLP and BertCNNs algorithms achieve 98.92% and 99.38% accuracy on the test set, respectively. The analysis of the experimental results shows that the accuracy rate obtained by training the clas
作者: arbovirus    時(shí)間: 2025-3-27 07:13

作者: addict    時(shí)間: 2025-3-27 12:10
Juan Chang,Xiangan Liu,Ryan H. Rochat,Matthew L. Baker,Wah Chiu). Additionally, we consider several different types of distributions as well as linear and non-linear ANMs. The results of the experiments show that these causal discovery methods can fail to capture the true causal direction for some levels of noise.
作者: Gullible    時(shí)間: 2025-3-27 14:31
ational system ensured the continuous delivery of education without any requirement of physical presence. The proposed idea uses data science techniques to understand the crisis in a better way and improvise?the quality of education. In the medical sector, there are various techniques like online co
作者: QUAIL    時(shí)間: 2025-3-27 20:10
Petr G. Leiman,Mikhail M. Shneider by Carnegie Group Inc., NLMenu by Texas Instruments Inc., and Q & A? by Symantec Inc. The detailed examination of these systems shows their capabilities and limitations..We conclude that the technology for limited natural language access systems is available now, but that in the forseeable future t
作者: FAZE    時(shí)間: 2025-3-27 22:53

作者: 口訣    時(shí)間: 2025-3-28 04:41

作者: cortex    時(shí)間: 2025-3-28 06:55
Dennis T. Brown,Raquel Hernandezrface not only displays optimal therapies but also predicts outcome by each patient. We used data from multiple hospitals and evaluated the adaptability of our system. In case of using the data from one hospital, the pattern achieving high outcome, which was most important because it was used to sug
作者: Macronutrients    時(shí)間: 2025-3-28 14:30

作者: 拉開(kāi)這車床    時(shí)間: 2025-3-28 15:14
Craig B. Wilen,John C. Tilton,Robert W. Doms to each other, which leads to the broadcast storm effect on the network. Therefore, this paper proposes a Fuzzy logic-based scheme to mitigate the broadcast storm effect. The novelty of this paper is the suggestion and application of a Fuzzy logic approach in order to mitigate critical data broadca
作者: gentle    時(shí)間: 2025-3-28 22:28
s clustering methods as the core, the secondary classification of special users is realized. Finally, different time series forecasting models are used for the power load curve characteristics of different user categories. Our model has achieved the best results in multiple metrics (RMSE: 0.359, MSE
作者: 矛盾    時(shí)間: 2025-3-29 02:51
Tom S. Y. Guu,Wenjie Zheng,Yizhi J. Taohat using datasets with balanced class distribution and sufficient instances would be the ideal condition to maximize the performance of classifiers; (3) Increasing the number of instances is more effective than using variables for improving the predictive performance of Random Forest. Furthermore,
作者: 領(lǐng)巾    時(shí)間: 2025-3-29 04:58

作者: 極微小    時(shí)間: 2025-3-29 10:22
ext corpus. We show that these representations can be easily added to existing models and be combined with other word representation features. We evaluate our model on FactRuEval-2016 dataset for named entity recognition in Russian and achieve state of the art results.
作者: Indict    時(shí)間: 2025-3-29 12:16

作者: Mercurial    時(shí)間: 2025-3-29 18:18
Peter E. Prevelige,Bentley A. Faneiven by Burhan Türk en (Knowledge/Intelligence Systems Laboratory, University of Toronto) and Joerg Siekmann (German Research Center for Artificial Intelligence DFKI, Saarland University), providing us with new developments in the field. We are very grateful to the contributions of such pioneer scie
作者: Flatus    時(shí)間: 2025-3-29 23:29
Roger W. Hendrix,John E. Johnsonimary focus, and individual AI projects have been initiated under the Small Business Innovative Research Program. The fundamental and synergistic relationship between training and expert systems supports the use of AI in the training of nuclear personnel. In the long run, the most significant contri
作者: 不可接觸    時(shí)間: 2025-3-30 00:50

作者: Antioxidant    時(shí)間: 2025-3-30 07:25
Michael G. Rossmann,Venigalla B. RaoWritten by leaders in their respective fields.Uses the best examples from bacteriophages and animal viruses, many causing infectious diseases of public health importance.Conveys state of the art knowl
作者: Indecisive    時(shí)間: 2025-3-30 08:41

作者: 真實(shí)的人    時(shí)間: 2025-3-30 12:44
978-1-4939-5085-0The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines




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