Insect seedling herbivory is influenced by multiple factors, but the plant apparency theory is more supported than other hypotheses – A case study in a subtropical forest by Baozhu Yuan, Bo Wang

“…This, in turn, exerts a significant influence on forest community diversity and structure, as well as ecosystem function and stability. Notable variation in herbivory has been detected both among and within plant species. …”
Get full text

Oncogenic and teratogenic effects of Trp53Y217C, an inflammation-prone mouse model of the human hotspot mutant TP53Y220C by Sara Jaber, Eliana Eldawra, Jeanne Rakotopare, Iva Simeonova, Vincent Lejour, Marc Gabriel, Tatiana Cañeque, Vitalina Volochtchouk, Monika Licaj, Anne Fajac, Raphaël Rodriguez, Antonin Morillon, Boris Bardot, Franck Toledo

“…Hotspot p53 mutants have lost the tumor suppressive functions of the wildtype protein, but whether and how they may gain additional functions promoting tumorigenesis remain controversial. …”
Get full text

Handover challenges in disaggregated open RAN for LEO Satellites: tradeoff between handover delay and onboard processing by Siva Satya Sri Ganesh Seeram, Luca Feltrin, Mustafa Ozger, Mustafa Ozger, Shuai Zhang, Cicek Cavdar

“…Such regenerative architectures enable disaggregation and distribution of radio access network (RAN) functions between the ground and space. Open RAN is a promising approach for non-terrestrial networks and offers flexible function placement through open interfaces. …”
Get full text

Hybrid modeling approach for precise estimation of energy production and consumption based on temperature variations by Wulfran Fendzi Mbasso, Reagan Jean Jacques Molu, Ambe Harrison, Mukesh Pushkarna, Fritz Nguemo Kemdoum, Emmanuel Fendzi Donfack, Pradeep Jangir, Pierre Tiako, Milkias Berhanu Tuka

“…The hybrid model, which combines sinusoidal and polynomial functions, achieved an accuracy of 79.15% in estimating energy consumption using temperature as a predictor variable. …”
Get full text

Hybrid Sensor Placement Framework Using Criterion-Guided Candidate Selection and Optimization by Se-Hee Kim, JungHyun Kyung, Jae-Hyoung An, Hee-Chang Eun

Get full text

Chromosomal Location and Identification of <i>TBX20</i> as a New Gene Responsible for Familial Bicuspid Aortic Valve by Yan-Jie Li, Su Zou, Yi-Zhe Bian, Xing-Yuan Liu, Chen-Xi Yang, Li Li, Xing-Biao Qiu, Ying-Jia Xu, Yi-Qing Yang, Ri-Tai Huang

“…<b>Methods:</b> A genome-wide genotyping with 400 polymorphic genetic markers followed by linkage analysis, haplotype assay, and sequencing analysis of candidate genes was conducted in a 4-generation BAV kindred of 47 individuals. Biochemical assays were performed to evaluate the functional effect of the identified mutation on TBX20. …”
Get full text

On the characteristics of next generation for redundant clustered reliable data transmission scheme in critical IoT infrastructures by Grace Khayat, Constandinos X. Mavromoustakis, George Mastorakis, Athina Bourdena, Evangelos Markakis

“…Having different types of agents will increase the system’s reliability due to their different level of non-functionality risk. For instance, vehicles are more vulnerable to being non-functional in earthquakes, whereas UAVs are at higher risk in tornadoes. …”
Get full text

The detection of distributional discrepancy for language GANs by Xingyuan Chen, Peng Jin, Ping Cai, Hongjun Wang, Xinyu Dai, Jiajun Chen

“…Different from the above-mentioned methods, we adopted the most recent metric functions, which measure the distributional discrepancy between real and generated text. …”
Get full text

A High-Precision Virtual Central Projection Image Generation Method for an Aerial Dual-Camera by Xingzhou Luo, Haitao Zhao, Yaping Liu, Nannan Liu, Jiang Chen, Hong Yang, Jie Pan

“…A global projection transformation matrix is constructed, and the sigmoid function is employed as a weighted distance function for image stitching. …”
Get full text

Crystal Composition Transformer: Self‐Learning Neural Language Model for Generative and Tinkering Design of Materials by Lai Wei, Qinyang Li, Yuqi Song, Stanislav Stefanov, Rongzhi Dong, Nihang Fu, Edirisuriya M. D. Siriwardane, Fanglin Chen, Jianjun Hu

“…These models have demonstrated superior performance in the generation, structure classification, and functional predictions for proteins and molecules with learned representations. …”
Get full text

Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation by J. M. Torres, R. M. Aguilar

“…Making every component of an electrical system work in unison is being made more challenging by the increasing number of renewable energies used, the electrical output of which is difficult to determine beforehand. …”
Get full text

Japanese Encephalitis Vaccine Generates Cross-Reactive Memory T Cell Responses to Zika Virus in Humans by Ran Wang, Meng Zhang, Linlin Zhang, Mengjia Liu, Chao Shan, Jing An, Zhengde Xie

Get full text

Stochastic stability analysis method for doubly fed generator sets considering random blade stress by Wei Chen, Bo Wang, Zhanhong Wei, Qiangqiang Li

“…Abstract With the increasing capacity of doubly fed induction generators (DFIGs), the diameter of the wind turbine is increasing, the blades are getting longer and longer, and in the process of power generation, the tower shadow effect as well as the role of wind shear are more obvious, and the random blade stresses caused by this is also getting bigger. …”
Get full text

Adult limbal neurosphere cells: a potential autologous cell resource for retinal cell generation. by Xiaoli Chen, Heather Thomson, Jessica Cooke, Jennifer Scott, Parwez Hossain, Andrew Lotery

“…Neural colonies (neurospheres) can be generated from adult corneal limbus in vitro. We have previously shown that these neurospheres originate from neural crest stem/progenitor cells and that they can differentiate into functional neurons in vitro. …”
Get full text

User Intent-Based Music Generation Model Combining Actor-Critic Approach With MusicVAE by Soyoung Jang, Jaeho Lee

“…This research proposes a way for music generation models to more clearly reflect user intent. …”
Get full text

Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices by Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

“…The results of the conducted analysis serve as a guide for selecting the type of generator that is more suited for a specific IoT solution, depending on the functional profile of the target application and the amount of random data required in the cryptographic process. …”
Get full text

Three-Dimensional Printed Biomimetic Elastomeric Scaffolds: Experimental Study of Surface Roughness and Pore Generation by Daniele Marazzi, Federica Trovalusci, Paolo Di Nardo, Felicia Carotenuto

Get full text

LatentPINNs: Generative physics-informed neural networks via a latent representation learning by Mohammad H. Taufik, Tariq Alkhalifah

“…Motivated by the recent progress on generative models, we promote using latent diffusion models to learn compressed latent representations of the distribution of PDE parameters as they act as input parameters for NN functional solutions. …”
Get full text

Highly selective generation of singlet oxygen via peroxymonosulfate activation by Mn–N supported biochar by Huan Wu, Fangfang Ji, Bin Zhou, Shikun Gao, Zhe Zhang

Get full text

Pressure Drop Analysis of Turbine Housing Model with Circular Sliced Pipe for Micro Hydropower Generation by Moh Abduh, Lourina Evanale Orfa, Sulianto Sulianto, Khairul Iqbal

“…The turbine housing flow design innovation must provide a function as an optimal fluid conductor by minimizing the resistance that occurs when fluid flows towards the turbine housing and rotates the turbine optimally. …”
Get full text