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

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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. …”
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Variable lymphocyte receptor F is generated via somatic diversification and expressed by lamprey T-like cells by Sabyasachi Das, Francisco Fontenla-Iglesias, Masayuki Hirano, Ryo Morimoto, Byron B. Au-Yeung, Yashuo Wang, Weiming Li, Thomas Boehm, Jonathan P. Rast, Max D. Cooper

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An Adaptive 24 GHz PSO-Based Optimized VCO in Next-Generation Wireless Sensor Networks by Khizra Tariq, Unal Aras, Tahesin Samira Delwar, Muhammad Nadeem Ali, Yangwon Lee, Jee-Youl Ryu, Byung-Seo Kim

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Photovoltaic Power Generation Forecasting Based on Secondary Data Decomposition and Hybrid Deep Learning Model by Liwei Zhang, Lisang Liu, Wenwei Chen, Zhihui Lin, Dongwei He, Jian Chen

“…Accurate forecasting of photovoltaic (PV) power generation is crucial for optimizing grid operation and ensuring a reliable power supply. …”
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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

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Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators by Kartikeya Walia, William Navaraj, Philip Breedon

“…Future work will extend this design to higher payload systems using metal components, enhancing durability and functionality for industrial applications.…”
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RSGPT: a generative transformer model for retrosynthesis planning pre-trained on ten billion datapoints by Yafeng Deng, Xinda Zhao, Hanyu Sun, Yu Chen, Xiaorui Wang, Xi Xue, Liangning Li, Jianfei Song, Chang-Yu Hsieh, Tingjun Hou, Xiandao Pan, Taghrid Saad Alomar, Xiangyang Ji, Xiaojian Wang

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High‐Performance MXene Hydrogel for Self‐Propelled Marangoni Swimmers and Water‐Enabled Electricity Generator by Jiayi Zhou, Yan Zhang, Ming Zhang, Dongye Yang, Wenwei Huang, Ao Zheng, Lingyan Cao

“…Abstract Developing multifunctional materials that integrate self‐propulsion and self‐power generation is a significant challenge. This study introduces a high‐performance MXene‐chitosan composite hydrogel (CM) that successfully combines these functionalities. …”
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Plasma processed Zn fortification: The next generation sustainable technology for the improvement of agronomic traits of paddy by Mamunur Rashid, M.R. Talukder

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Force Generation and Muscle Activation: A Literature Review of Lower Limb Mechanics in Softball Batting by Muhammad Fahrezi Harahap, Zukhro Bahadirovna Khamraeva, Gorgan Carmina Mihaela

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Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

“…Our method introduces two key innovations for enhanced feature attribution: 1) dual Gram matrix-based loss functions (G1 and G2), which operate at different stages of the generation process to capture richer style information by establishing deeper correlations between feature maps, and 2) a balanced training objective that integrates perceptual loss with cycle-consistency loss to maintain content fidelity during style transfer. …”
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Effect of Lower-Level Relaxation on the Pulse Generation Performance of Q-Switched Nd:YAG Laser by Fuqiang Ma, Shiyu Wang, Bingbin Li, Peijin Shang, Jinyou Li, Zheyuan Li

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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. …”
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Measuring and Improving the Efficiency of Python Code Generated by LLMs Using CoT Prompting and Fine-Tuning by Ramya Jonnala, Jeong Yang, Young Lee, Gongbo Liang, Zechun Cao

“…These models are increasingly employed to automate the generation of functionally correct code, address complex computational problems, and facilitate the debugging of existing software systems. …”
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