Quantum and Classical Dynamics with Random Permutation Circuits by Bruno Bertini, Katja Klobas, Pavel Kos, Daniel Malz

“…We show that, upon averaging over all circuit realizations, RPCs permit the analytical computation of several key quantities such as out-of-time-order correlators (OTOCs) and entanglement entropies. …”
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A thermodynamic description of metastable c-TiAlZrN coatings with triple spinodally decomposed domains by Zhou J., Zhang L., Chen L., Du Y., Liu Z.K.

“…., c-TiN, c-AlN, and c-ZrN, was performed via the CALculation of PHAse Diagram (CALPHAD) technique based on the limited experimental data as well as the first-principles computed free energies. The metastable c-TiAlZrN coatings were modeled as a pseudo-ternary phase consisting of c-TiN, c-AlN and c-ZrN species, and described using the substitutional solution model. …”
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Les novellisations de Bordage : expérimentations transmédiatiques du multimédia dans la science-fiction française by Aurélie Huz

“…Les fils du rayon d’or, 1998), the other adapted from a computer-generated 3D movie (Kaena, la prophétie, 2003). …”
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What was Killing Babies in Ipswich Between 1872 and 1909? by Eilidh Garrett, Alice Reid

“…Ipswich is the only town in England for which a complete run of computer-readable, individual-level causes of death are available in the late 19th and early 20th century. …”
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Event-Based Visual/Inertial Odometry for UAV Indoor Navigation by Ahmed Elamin, Ahmed El-Rabbany, Sunil Jacob

“…In this study, an event-based visual–inertial odometry approach is proposed, emphasizing adaptive event accumulation and selective keyframe updates to reduce computational overhead. The proposed approach fuses events, standard frames, and inertial measurements for precise indoor navigation. …”
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Small target detection in UAV view based on improved YOLOv8 algorithm by Xiaoli Zhang, Guocai Zuo

“…This change maintains the model’s performance while significantly reducing the computational load. Lastly, the detection head adds a channel attention mechanism. …”
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Penatalaksanaan Kista Teratoid Leher by Nadya Dwi Karsa, Sukri Rahman

“…Dilaporkan kasus seorang laki-laki usia 49 tahun dengan benjolan di leher yang membesar secara perlahan sejak 1 bulan dan hasil Computed Tomography (CT) Scan tiroid dan leher dicurigai sebagai kista tiroglosus dan didiagnosis banding dengan kista dermoid. …”
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3D Face Modeling Algorithm for Film and Television Animation Based on Lightweight Convolutional Neural Network by Cheng Di, Jing Peng, Yihua Di, Siwei Wu

“…The algorithm uses the difference criterion instead of the entropy criterion to avoid the “small sample” problem, and the use of QR decomposition can extract more effective discriminative features for facial recognition, while also reducing the computational complexity of feature extraction. Compared with traditional feature extraction methods, GMMSD avoids the problem of “small samples” and does not require preprocessing steps on the samples; it uses QR decomposition to extract features from the original samples and retains the distribution characteristics of the original samples. …”
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Toward Questionnaire Complexity Reduction by Decreasing the Questions by Miguel A. Molina-Cabello, José Serrano-Angulo, Jesús Benito-Picazo, Karl Thurnhofer-Hemsi

“…To evaluate the effectiveness of the proposed method, it has been used across various subjects in Computer Sciences Engineering degrees over different academic years. …”
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PRIORITISATION OF ON-CAMPUS UNIVERSITY STUDENT HOUSING FACILITY SPACES by Fredrick Simpeh, Winston Shakantu

“…The study found that bathrooms, sleeping spaces, kitchens, study areas, libraries, sick bays, computer labs, bookshops, dry line areas and discussion rooms are ‘extremely important’ spaces that students expect in an ideal SHF. …”
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The effect of 6-weeks competition period training on body composition of boxers by Melike Nur Akgul, Oktay Cakmakcı

“…Mean and standard deviation were computed. According to tests of normality, the Independent t-test was used to compare paired groups.  …”
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ISLRWR: A network diffusion algorithm for drug-target interactions prediction. by Lu Sun, Zhixiang Yin, Lin Lu

“…Machine learning techniques and computer-aided methods are now widely used in the pre-discovery tasks of drug discovery, effectively improving the efficiency of drug development and reducing the workload and cost. …”
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Anonymous trust management scheme of VANET based on attribute signature by Min XIAO, Faying MAO, Yonghong HUANG, Yunfei CAO

“…Trust management mechanisms can solve the authenticity assessment problem of messages and establish trust between communication entities in the VANET.However, current trust management schemes lack an effective privacy protection mechanism, leading to privacy concerns for vehicles when binding their identity with their trust level.Based on the anonymity of attribute-based signature, an anonymous trust management scheme was proposed for VANET.The trust level of the vehicle was maintained by the trusted authority.The trust level of vehicles and the current time were taken as the attribute identity set of the vehicle, so as to realize the binding of the anonymous vehicle identity with its trust level, which could provide the privacy protection of vehicles.In addition, the timely update of attribute signature private key could resist false reputation attack and the trust level of the vehicle could be verified anonymously while the attribute signature was verified.Furthermore, the pseudonym was used to hide the real identity of the vehicle, enabling only the trusted authority could parse the real identity of vehicles from the pseudonym to update their trust level, and providing legal and secure tracking of the malicious vehicle identity vehicle.Under the general group model, the attribute-based signature scheme is proven to satisfy the security of unforgerability.The security analysis further shows that the scheme protects the identity and location privacy of vehicles, enables only the trusted authority to legally track malicious vehicles, resists false reputation attacks, ensures communication integrity, and resists replay attacks.Performance analysis confirms that the proposed scheme has better computation and communication efficiency than existing schemes.…”
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Through-wall Human Pose Reconstruction and Action Recognition Using Four-dimensional Imaging Radar by Rui ZHANG, Hanqin GONG, Ruiyuan SONG, Yadong LI, Zhi LU, Dongheng ZHANG, Yang HU, Yan CHEN

“…Additionally, to address the influence of walls on signal quality, this paper introduces a deep echo domain compensator that leverages the powerful fitting performance and parallel output characteristics of deep learning, thereby reducing the computational overhead of traditional wall compensation methods. …”
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Endometriosis in Postmenopausal Woman Without Previous Hormonal Therapy: A Case Report by Mine İslimye Taşkın, Meltem Çağrı Menteşe, Engin Uzgören, Ümit İnceboz

“…The patient was then submitted to a computed tomography scan that showed multiple lobated cystic masses at both adnexa. …”
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Gorham Stout syndrome in a pediatric patient. A case report by Ariel Moya Machado, Leidelén Esquivel Sosa, Yisel González Ríos

“…The fever recurred and a marked increase in volume was observed in the dorsal lumbar region. Computed axial tomography and magnetic resonance imaging revealed osteolysis of the vertebral bodies from D8 to L2 and an increase in the adjacent soft tissues. …”
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Correlation analysis between coiling tension and the sleeve's hoop stress by Park Yonghui

“…This analytical solution not only holds promise for predicting the behavior of various thick-walled cylinders produced through different manufacturing processes involving coiling but also facilitates integration with monitoring systems to mitigate slumping during steel rolling operations, all while minimizing computational burden.…”
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THE IMPACT OF THE PANDEMIC PERIOD ON THE MOTOR DEVELOPMENT OF 9TH AND 12TH GRADE STUDENTS by Moga Carolina

“…Moreover, due to online lessons, the time children spent in front of computers increased considerably, leading to hypodynamia and negatively impacting the physical and mental health of children. …”
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Neuropharmacological profile of new thiazepinone and thiazolidinone compounds designed by virtual screening by Juan Sebastian Carrero-Sandoval, Paola Andrea Cuervo-Prado, Fabian Orozco-Lopez, Christian Alonso Becerra-Rivas, Estefany Arias-Quiroz, Mario Francisco Guerrero-Pabón

“…Abstract To evaluate the neuropharmacological profile of new spiro thiazepinone and thiazolidinone compounds in CD1 mice after a computer-aided virtual screening based on a GABA-A/BZD site. …”
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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…Among such models, VGG16, VGG19, Mobilenetv2, Inception, Efficientnetb7, InceptionResnetV2, DenseNet201, DenseNet121 were used. The computational experimental analysis performed in the paper on a set of MRI brain images showed that the best encoder model for the above deep models was the DenseNet121 model with the following values of segmentation metrics Mean IoU of 91.34%, Mean Dice of 94.26%, Accuracy of 94.22%. …”
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