Genome-Wide Histone H3K27 Acetylation Profiling Identified Genes Correlated With Prognosis in Papillary Thyroid Carcinoma

Thyroid carcinoma (TC) is the most common endocrine malignancy, and papillary TC (PTC) is the most frequent subtype of TC, accounting for 85–90% of all the cases. Aberrant histone acetylation contributes to carcinogenesis by inducing the dysregulation of certain cancer-related genes. However, the histone acetylation landscape in PTC remains elusive. Here, we interrogated the epigenomes of PTC and benign thyroid nodule (BTN) tissues by applying H3K27ac chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) along with RNA-sequencing. By comparing the epigenomic features between PTC and BTN, we detected changes in H3K27ac levels at active regulatory regions, identified PTC-specific super-enhancer-associated genes involving immune-response and cancer-related pathways, and uncovered several genes that associated with disease-free survival of PTC. In summary, our data provided a genome-wide landscape of histone modification in PTC and demonstrated the role of enhancers in transcriptional regulations associated with prognosis of PTC

A New Digital Signature Algorithm Similar to ELGamal Type

Abstract—Application of digital signature technology becomes more extensive, but many exposed digital signature algorithms have increasingly revealed some shortcomings and deficiencies. Aiming directly at the frequently used digital signature technologies, which are weak to Substitution Attack and Homeostasis Attack, the authors perform the hash transformation on messages before signature. Then, a hash round function is constructed, which simultaneously satisfies the characters of balance, high nonlinearity, strict avalanche criterion and realization of software. Moreover, making use of the hash round function, a new hash algorithm named HRFA (Hash Round Function Algorithm) is contrived. On this basis, aiming at the defect that the existing digital signature algorithms are weak to active attack and impersonation attack, using the hash algorithm named HRFA and the self-certified public key system, a new kind of digital signature algorithm, which is similar to ELGamal, named H-S DSA (Hash Round Function and Self-certified Public Key System Digital Signature Algorithm) is raised and realized. Finally, the authors analyze the H-S DSA from two aspects of security and time-complexity. And, the results show that the new designed digital signature algorithm named H-S DSA not only has better security strength, but also has lower timecomplexity. Index Terms—digital signature, similar to ELGamal, HRFA, H-S DSA, algorithm analysis I

Energy-Delay Minimization of Task Migration Based on Game Theory in MEC-assisted Vehicular Networks

Roadside units (RSUs), which have strong computing capability and are close to vehicle nodes, have been widely used to process delay- and computation-intensive tasks of vehicle nodes. However, due to their high mobility, vehicles may drive out of the coverage of RSUs before receiving the task processing results. In this paper, we propose a mobile edge computing-assisted vehicular network, where vehicles can offload their tasks to a nearby vehicle via a vehicle-to-vehicle (V2V) link or a nearby RSU via a vehicle-to-infrastructure link. These tasks are also migrated by a V2V link or an infrastructure-to-infrastructure (I2I) link to avoid the scenario where the vehicles cannot receive the processed task from the RSUs. Considering mutual interference from the same link of offloading tasks and migrating tasks, we construct a vehicle offloading decision-based game to minimize the computation overhead. We prove that the game can always achieve Nash equilibrium and convergence by exploiting the finite improvement property. We then propose a task migration (TM) algorithm that includes three task-processing methods and two task-migration methods. Based on the TM algorithm, computation overhead minimization offloading (COMO) algorithm is presented. Extensive simulation results show that the proposed TM and COMO algorithms reduce the computation overhead and increase the success rate of task processing.Comment: 15 pages, 7 figures, 2 tables, Accepted by IEEE Transactions on Vehicular Technolog

Highly compressible graphene aerogel with high thermal conductivity along both in-plane and through-plane directions

Graphene-based thermal interface materials (TIMs), such as horizontal graphene papers and vertical graphene monoliths, commonly possess high thermal conductivity (TC) only along either in-plane or through-plane direction due to their high anisotropy structure. Three-dimensional (3D) graphene monoliths with interconnected network can extend the excellent thermal transport performances of two-dimensional graphene to macro monoliths along multi-directions. However, the high porosity of 3D graphene monoliths usually leads to low TC. Here, highly compressible graphene aerogels (HCGAs) with closely packed cell walls and regularly cellular structure were prepared. The HCGAs can be highly compressed (95% compressive strain) to reduce the porosity while maintaining the continuously thermal transport paths. Significantly increased TC along both in-plane and through-plane directions can be obtained by directly mechanical compression of the aerogels. HCGAs with initial density of 11.5 mg cm ^−3 at 95% compressive strain possess in-plane TC of 167.2 W m ^−1 K ^−1 and through-plane TC of 46.8 W m ^−1 K ^−1 , which outperforms other carbon-based TIMs reported previously