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. …”
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Semi-precontinuous functions and properties of generalized semi-preclosed sets in topological spaces by G. B. Navalagi

“…More recently, Cueva (2000) has defined the concepts like approximately irresolute, approximately semi-closed, contra-irresolute, contra-semiclosed, and perfectly contra-irresolute mappings using semi-generalized closed (sg-closed) sets and semi-generalized open (sg-open) sets due to Bhattacharyya and Lahiri (1987) in topology. …”
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Generalizing Robust Control Barrier Functions From a Controller Design Perspective by Anil Alan, Tamas G. Molnar, Aaron D. Ames, Gabor Orosz

“…Main results are conditions for robust safety through generalized RCBFs. We apply these generalized principles for more specific design examples: a worst-case type design, an estimation-based design, and a tunable version of the latter. …”
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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. …”
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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. …”
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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. …”
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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. …”
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Classification of Properties in Human-like Dialogue Systems Using Generative AI to Adapt to Individual Preferences by Kaori Abe, Changqin Quan, Sheng Cao, Zhiwei Luo

“…The dialogue system driven by generative AI communicated with subjects in natural language via voice-based communication and featured a facial expression function. …”
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Robust Strategy Generation for Automatic Navigation of Unmanned Surface Vehicles through Improved DDPG Algorithm by Wei Wang, Subin Huang, Huabin Diao

“…However, the increase in the complexity of network model structures has led to instability during the training process. Therefore, generating more robust navigation strategies, namely ensuring robust reward-score trends during training and smoother action trajectories of the USV, is crucial for automatic navigation and constitutes the main research question of this study. …”
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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

“…Steps to increase energy independence in the new and renewable energy sector include hydro-energy generation. One of the important components of a hydro generator is the penstock pipe and turbine housing, which channels water and then pushes and drives (spins) the turbine with the flow of water to produce electrical energy. …”
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills. by Russell Dinnage, Marian Kleineberg

“…In this study we explore the potential of generative Artificial Intelligence to help organize and extract meaning from complex 3D data. …”
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Symmetrical Resonance Mechanism of Elimination of Parasitic Torques of the Permanent Magnets Generator when Starting and Idling by K. V. Dobrego

“…The corresponding tables for various classes of potentials are given which can serve as a basis for making design decisions when developing generators. Pi-resonance more probably takes place in the case of even number of stator coils and odd number of magnets, as well as with an increase in the number of stator coils. …”
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From spheroids to organoids: next-generation models for CAR-T cell therapy research in solid tumors by Mégane Jassin, Alix Block, Alix Block, Laury Désiront, Louise Vrancken, Louise Vrancken, Céline Grégoire, Frédéric Baron, Frédéric Baron, Grégory Ehx, Grégory Ehx, Thi Tham Nguyen, Jo Caers, Jo Caers

“…Unlike 2D models, 3D systems offer a more physiologically relevant environment, better mimicking the TME, tumor heterogeneity, and immune interactions which CAR-T cells must encounter. …”
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Second-harmonic generation microscopy of murine scleral remodeling by collagenase and reparative collagen mimetic peptides by Daniel E. Savage, Daniel E. Savage, Aldo Tecse, Aldo Tecse, Jiaxi Zhou, James A. Germann, Mark R. Buckley, Mark R. Buckley, Robert O. Baratta, Brian J. Del Buono, Eric Schlumpf, Michael Telias, Michael Telias, Susana Marcos, Susana Marcos

“…CMP treatment of digested sclera resulted in a collagen organization that was more similar (i.e., not significantly different) from untreated tissue at depths up to 60 μm (p < 0.05). …”
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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

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Adaptation of different generations of hereford and aberdeen angus breeds to the ambient temperature of the Northern region of Kazakhstan by Kazhgaliyev Nurlybay Zhigerbaevich, Yol Dorjbat, Titanov Zhanat Eginbayevich, Ateikhan Bolatbek

“…The study suggests that animals of second and third generations display the highest levels of adaptability to high temperatures in their environment, thus requiring less stress on their protective bodily functions. …”
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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. …”
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Bridging the digital divide for Generation X and Boomers in the Western Balkan region through smart cities by Oliana SULA

“…The population in the region is getting older, Generation X and Boomers are expected to stay longer in the labor market and they will need more digitalized services, especially in terms of health e, e-services, and mobility. …”
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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. …”
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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. …”
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