The surgical video clip of the reconstructive process.

ASVIDE ◽  
2021 ◽  
Vol 8 ◽  
pp. 172-172
Author(s):  
Yiji Peng ◽  
Zhongyuan Zhang ◽  
Cheng Shen ◽  
Wei Yu ◽  
Gang Wang ◽  
...  
Koneksi ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 338
Author(s):  
Faiz Zulia Maharany ◽  
Ahmad Junaidi

'Nightmare' is the title of a video clip belonging to a singer and singer called Halsey, in which the video clip is explained about the figure of women who struggle against patriarchal culture which has been a barrier wall for women to get their rights, welfare and the equality needed they get. This research uses descriptive qualitative research methods. Data collection techniques are done through documentation, observation and study of literature. Then, analyzed using Charles Sanders Peirce's semiotics technique. The results of this study show the fact that signs, symbols or messages representing feminism in the video, 'Nightmare' clips are presented through scenes that present women's actions in opposing domination over men and sarcastic sentences contained in the lyrics of the song to discuss with patriarchy. Youtube as one of the social media platforms where the 'Nightmare' video clip is uploaded is very effective for mass communication and for conveying the message contained in the video clip to the viewing public.‘Nightmare’ adalah judul video klip milik musisi sekaligus penyanyi yang bernama Halsey, dimana pada Video klipnya tersebut menceritakan tentang figur perempuan-perempuan yang berusaha melawan budaya patriarki yang selama ini telah menjadi dinding penghalang bagi perempuan untuk mendapatkan hak-haknya, keadilan dan kesetaraan yang seharusnya mereka dapatkan. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data dilakukan melalui dokumentasi, observasi dan studi kepustakaan. Kemudian, dianalisis menggunakan teknik semiotika milik Charles Sanders Peirce. Hasil penelitian ini menunjukan bahwa terdapat tanda-tanda, simbol atau pesan yang merepresentasikan feminisme di dalam video klip ‘Nightmare’ yang dihadirkan melalui adegan-adegan yang menyajikan aksi perempuan dalam menolak dominasi atas laki-laki dan kalimat-kalimat sarkas yang terkandung dalam lirik lagunya untuk ditujukan kepada patriarki. Youtube sebagai salah satu platform media sosial dimana video klip ‘Nightmare’ diunggah sangat efektif untuk melakukan komunikasi massa dan untuk menyampaikan pesan yang terkandung di dalam video klip tersebut kepada masyarakat yang menonton.


2019 ◽  
pp. 124-132
Author(s):  
María José Barros Cruz
Keyword(s):  

En el artículo se realiza un análisis de canción “Shock” de la rapera y activista chilena Ana Tijoux, compuesta en el marco de las movilizaciones estudiantiles del año 2011 en Chile. Proponemos entender este trabajo musical como parte de un movimiento social que salió a las calles para decir su indignación frente al sistema educacional de corte neoliberal impuesto durante la dictadura de Pinochet y prolongado durante la transición democrática. Atenta tanto a las voces de la calle como a los saberes letrados, en esta canción Tijoux realiza una fuerte crítica a la clase política del Chile (post)dictatorial, reivindicando la alianza entre los cuerpos y la ocupación del espacio público (Butler 2017) por parte de los estudiantes y ciudadanos movilizados. Para ello elabora a una retórica de lo colectivo manifiesta en la letra y el video clip y recurre a un género musical masivo y popular como el rap.


2019 ◽  
Vol 1 (2) ◽  
pp. V1
Author(s):  
Sima Sayyahmelli ◽  
Jian Ruan ◽  
Bryan Wheeler ◽  
Mustafa K. Başkaya

Primary glioblastoma multiforme tumors of the medulla oblongata are rare, especially in the adult population. Perhaps due to this rarity, we are not aware of any previous reports addressing the resection of these tumors or their clinical outcomes.In this surgical video, we present a 43-year-old man with a 1-month history of left-sided paresthesia. The paresthesia initiated in the left hand, along with weakness and reduced fine motor control, and then spread to the entire left side of the body. He had recent weight loss, imbalance, difficulty in swallowing, and hoarseness in his voice. He also had a diminished gag reflex, and significant atrophy of the right side of the tongue with an accompanying deviation of the uvula and fasciculations of the tongue. MRI showed an infiltrative expansile mass within the medulla with peripheral enhancement and central necrosis. In T2/FLAIR sequences, a hyperintense signal extended superiorly into the left inferior aspect of the pons and left inferior cerebellar peduncle and inferiorly into the upper cervical cord.The decision was made to proceed with surgical resection. The patient underwent a midline suboccipital craniotomy with C1 laminectomy for surgical resection of this infiltrative expansile intrinsic mass in the medulla oblongata, with concurrent monitoring of motor and somatosensory evoked potentials and monitoring of lower cranial nerves IX, X, XI, and XII. A gross-total resection of the enhancing portion of the tumor was performed, along with a subtotal resection of the nonenhancing portion. The surgery and postoperative course were uneventful. Histopathology revealed a grade IV astrocytoma. The patient received radiation therapy.In this surgical video, we demonstrate important steps for the microsurgical resection of this challenging glioblastoma multiforme of the medulla oblongata.The video can be found here: https://youtu.be/QHbOVxdxbeU.


2021 ◽  
Vol 202 ◽  
pp. 106505
Author(s):  
Massimiliano Minardi ◽  
Giovanni Giulio Vercelli ◽  
Marco Mammi ◽  
Alessandro Fiumefreddo ◽  
Diego Garbossa

2021 ◽  
Vol 11 (12) ◽  
pp. 5563
Author(s):  
Jinsol Ha ◽  
Joongchol Shin ◽  
Hasil Park ◽  
Joonki Paik

Action recognition requires the accurate analysis of action elements in the form of a video clip and a properly ordered sequence of the elements. To solve the two sub-problems, it is necessary to learn both spatio-temporal information and the temporal relationship between different action elements. Existing convolutional neural network (CNN)-based action recognition methods have focused on learning only spatial or temporal information without considering the temporal relation between action elements. In this paper, we create short-term pixel-difference images from the input video, and take the difference images as an input to a bidirectional exponential moving average sub-network to analyze the action elements and their temporal relations. The proposed method consists of: (i) generation of RGB and differential images, (ii) extraction of deep feature maps using an image classification sub-network, (iii) weight assignment to extracted feature maps using a bidirectional, exponential, moving average sub-network, and (iv) late fusion with a three-dimensional convolutional (C3D) sub-network to improve the accuracy of action recognition. Experimental results show that the proposed method achieves a higher performance level than existing baseline methods. In addition, the proposed action recognition network takes only 0.075 seconds per action class, which guarantees various high-speed or real-time applications, such as abnormal action classification, human–computer interaction, and intelligent visual surveillance.


OTO Open ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 2473974X2093906
Author(s):  
C. Scott Brown ◽  
Calhoun D. Cunningham ◽  
Walter T. Lee ◽  
Liana Puscas

Objective To create a high-quality annotated online surgical video atlas of key indicator otolaryngology cases and assess its use and overall journal trends over time. Methods Videos are recorded from multiple viewpoints within the operating room and compiled into a single stream. Postediting includes chaptering videos and overlaying relevant text annotations. Videos are published online and viewership trends analyzed. Results Over 3 years, 29 otolaryngology videos were published out of 161 journal publications (18%). Eight of the 14 key indicator procedures are included (57%). From the beginning of 2017 to the end of 2019, viewership of otolaryngology pages increased from 548 to 11,139 views per month, totaling >150,000 views. These now represent 10% of the total journal monthly views and 10% of the overall views. Users originate from the United States and from >10 other countries. Discussion Residents and faculty face challenges of providing the highest standard of clinical care, teaching, and learning in and out of the operating room. Inherent difficulties of surgical training, high-fidelity surgical simulation, and imposed work hour restrictions necessitate additional, more efficient and effective means of teaching and learning. Surgical videos demonstrating key anatomy, procedural steps, and surgical dexterity with hand positioning are increasing in their popularity among learners. Implications for Practice Surgical video atlases provide a unique adjunct for resident education. They are enduring and easily accessible. In a climate of work hour restrictions or elective case reduction, they may supplement how residents learn to operate outside the operating theater.


2020 ◽  
Vol 34 (07) ◽  
pp. 10713-10720
Author(s):  
Mingyu Ding ◽  
Zhe Wang ◽  
Bolei Zhou ◽  
Jianping Shi ◽  
Zhiwu Lu ◽  
...  

A major challenge for video semantic segmentation is the lack of labeled data. In most benchmark datasets, only one frame of a video clip is annotated, which makes most supervised methods fail to utilize information from the rest of the frames. To exploit the spatio-temporal information in videos, many previous works use pre-computed optical flows, which encode the temporal consistency to improve the video segmentation. However, the video segmentation and optical flow estimation are still considered as two separate tasks. In this paper, we propose a novel framework for joint video semantic segmentation and optical flow estimation. Semantic segmentation brings semantic information to handle occlusion for more robust optical flow estimation, while the non-occluded optical flow provides accurate pixel-level temporal correspondences to guarantee the temporal consistency of the segmentation. Moreover, our framework is able to utilize both labeled and unlabeled frames in the video through joint training, while no additional calculation is required in inference. Extensive experiments show that the proposed model makes the video semantic segmentation and optical flow estimation benefit from each other and outperforms existing methods under the same settings in both tasks.


2019 ◽  
Vol 63 (4) ◽  
pp. 689-712
Author(s):  
K. Rothermich ◽  
O. Caivano ◽  
L.J. Knoll ◽  
V. Talwar

Interpreting other people’s intentions during communication represents a remarkable challenge for children. Although many studies have examined children’s understanding of, for example, sarcasm, less is known about their interpretation. Using realistic audiovisual scenes, we invited 124 children between 8 and 12 years old to watch video clips of young adults using different speaker intentions. After watching each video clip, children answered questions about the characters and their beliefs, and the perceived friendliness of the speaker. Children’s responses reveal age and gender differences in the ability to interpret speaker belief and social intentions, especially for scenarios conveying teasing and prosocial lies. We found that the ability to infer speaker belief of prosocial lies and to interpret social intentions increases with age. Our results suggest that children at the age of 8 years already show adult-like abilities to understand literal statements, whereas the ability to infer specific social intentions, such as teasing and prosocial lies, is still developing between the age of 8 and 12 years. Moreover, girls performed better in classifying prosocial lies and sarcasm as insincere than boys. The outcomes expand our understanding of how children observe speaker intentions and suggest further research into the development of teasing and prosocial lie interpretation.


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