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Titlebook: Vestibular Schwannoma Surgery; A Video Guide Mustafa K. Baskaya,G. Mark Pyle,Joseph P. Roche Book 2019 Springer Nature Switzerland AG 2019

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楼主: Malinger
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Retrosigmoid Approach for Vestibular Schwannoma Surgery,nd the FN, and keeping the tumor capsule intact during internal decompression. Surgical precautions to achieve a better postoperative hearing outcome include; gentle manipulation of the CoN, obtaining meticulous hemostasis, providing a bloodless surgical field, protecting the labyrinthine artery, av
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Translabyrinthine Approach to Vestibular Schwannomas,removed from the lateral cranial base to completely expose the mastoid process, digastric ridge, external auditory canal, and retrosigmoid region. All bone can be removed from the sigmoid sinus and the sinus can be gently bipolared to contract and retract it posteriorly. The sigmoid sinus must be fu
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, and implement diversified assessment forms. The results of more than ten years of practical teaching show that the “five-in-one” teaching innovation mode effectively cultivates students’ computational thinking, and significantly improves students’ programming ability and innovation ability. In the
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Ihsan Dogan,Burak Ozaydin,Joseph P. Roche,Mustafa K. Baskayaour conceptual understanding of CT as an independent psychological construct. Practically, the study indicates the role of general cognitive abilities in the development of CT skills, providing guidance on the design of CT learning resources for elementary education.
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Sima Sayyahmelli,Lucas Leonhard,Burak Ozaydin,Joseph P. Rochey OCL expressions. Similarity of requirement specification and software assets from repository is defined by means of comparing corresponding keywords and OCL expressions. Model for approximate comparison of OCL expressions and its estimation are proposed. Evaluation of the proposed approach accordi
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Ihsan Dogan,Omer S. Sahin,Joseph P. Rochecate that ensemble methods, particularly XGBoost and LightGBM, outperformed the other models with an accuracy of 96.8%. This research demonstrates the potential of thermal imaging coupled with machine learning for the detection of PAD, offering a non-invasive, accessible, and cost-effective diagnost
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Pınar Eser Ocak,Ihsan Dogan,Sima Sayyahmelli,Mustafa K. Baskayas of gradient disappearance and gradient explosion of ordinary neural networks, and also the improved seagull optimization algorithm is applied to the optimization of the model parameters, and Batch Normalization and Adam optimizer, thus constructing an efficient model.
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Mustafa K. Baskaya,Burak Ozaydin,Burcak Soylemez,Cem Dinc pay the supplier with the lowest possible cost. Suppliers play a lower role in decision-making, considering the PTN Optimal performance, mainly including two goals, the first goal is to have the highest evaluation score of the LSPOR, and troubleshoot the label switched path (LSP) anomaly on the net
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