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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Effectiveness and safety of new-generation antihistamines in allergenic rhinitis and urticaria by P.C. Potter

“…Histamine remains the most important mediator of clinical reactions in allergic diseases such as rhinitis, urticaria, and food and drug allergies. The need for more effective and safe antihistamines is critical and intensive drug development has become more demanding and competitive. …”
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Design of the Gear Generating Instrument on the type of Duplicate Planetary Transmission by Ye Youdong, Liu Lihong

“…The structure and function of the existing gear generating instrument are analyzed,its drawbacks and deficiencies of the structure and using are pointed out.The traditional structure mode of gear generating instrument is abandoned,and a new type of duplicate planetary transmission of involute gear generating instrument is designed,and then the structure,parameters,principle and characteristics are introduced.The duplicate planetary transmission of involute gear generating instrument is more convenient and quicker for operating by contrast of using the old and new gear generating instrument,and it can completely replace the existing gear generating instrument.…”
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The Generation and Regulation of Tissue-Resident Tregs and Their Role in Autoimmune Diseases by Shuang Wang, Xueyang Zou, Yi Zhang, Xiaoya Wang, Wei Yang, Yi Li

“…In recent years, studies have found that Tregs are divided into lymphatic and tissue-resident Tregs according to their location. Research on the generation and function of lymphoid Tregs has been more comprehensive and thorough, but the role of tissue Tregs is still in the exploratory stage, and it has become a research hot spot. …”
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Development Trend of Information Technology and AdvancedNuclear Power Generation by Tao ZHOU, Haolei ZHANG, Yao YAO, Chunmei LIU

“…Quantum technology can enhance the core fuel function. Artificial intelligence machine data capture and neural networks learn to process and apply information more precisely. …”
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Analytical Tools and Databases for Metagenomics in the Next-Generation Sequencing Era by Mincheol Kim, Ki-Hyun Lee, Seok-Whan Yoon, Bong-Soo Kim, Jongsik Chun, Hana Yi

“…It is evident that metagenomics will be a standard tool for studying the diversity and function of microbes in the near future, as fingerprinting methods did previously. …”
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Mutation Scanning in Wheat by Exon Capture and Next-Generation Sequencing. by Robert King, Nicholas Bird, Ricardo Ramirez-Gonzalez, Jane A Coghill, Archana Patil, Keywan Hassani-Pak, Cristobal Uauy, Andrew L Phillips

“…Targeted Induced Local Lesions in Genomes (TILLING) is a reverse genetics approach to identify novel sequence variation in genomes, with the aims of investigating gene function and/or developing useful alleles for breeding. …”
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Staircase baker's map generates flaring-type time series by G. Radons, G. C. Hartmann, H. H. Diebner, O. E. Rossler

“…The height of the flare hereby corresponds to the momentary height of the H function of a gas. An observable which is even more closely related to the momentary negative entropy was recently described. …”
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Nano/Micro-Enabled Modification and Innovation of Conventional Adjuvants for Next-Generation Vaccines by Xingchi Liu, Xu Yang, Lu Tao, Xuanchen Li, Guoqiang Chen, Qi Liu

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CladeDate: Calibration information generator for divergence time estimation by Santiago Claramunt

“…I show with simulations that the calibration information generated with CladeDate produces accurate time‐trees and compares favourably with more complex methods. …”
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Generative Design of Housing Spatial Layout Based on Rectangular Spaces by Javid Ahmadi, Seyyed Mehdi Maddahi, Reza Mirzaei

“…The generative spatial layout design process can generate and optimize a wide range of design responses by complying with all desired requirements and criteria and evaluating them based on one or more specific functions. …”
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Extraction-Augmented Generation of Scientific Abstracts Using Knowledge Graphs by Haotong Wang, Yves Lepage

“…Graph-to-text generation for specialized tasks, such as scientific abstract generation, is challenging due to the limited availability of structured knowledge graphs and the need to balance semantic accuracy with paragraph coherence. …”
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Applying Genetic Algorithm for test pattern generation process optimization by V. I. Kuraedov

“…It has been discovered that the proposed method is more effective in comparison to random vector generation to an extent of target errors amount for every benchmark.Conclusions. …”
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Difficulties in generating specific antibodies for immunohistochemical detection of nitrosylated tubulins. by Anton Kamnev, Matthias Muhar, Martina Preinreich, Hermann Ammer, Friedrich Propst

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Exosome may be the next generation of promising cell-free vaccines by Zelan Dai, Ruiru Cai, Hong Zeng, Hailian Zhu, Youwei Dou, Shibo Sun

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Tools of generative artificial intelligence in teaching English for specific purposes by Anna V. Malaeva, Tatiana P. Volkova, Tatiana A. Globa

“…The article is devoted to the possibilities of using generative artificial intelligence (GAI) tools in teaching English for specific purposes (ESP). …”
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The main types of wind turbines-generators in the power supply system by S. K. Sheryazov, S. S. Issenov, R. M. Iskakov, A. B. Kaidar

“…Analyze the role, place and features of the functioning of wind power plants. Provide various options for generators and schemes for converting wind energy into electricity. …”
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Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online by Eldon D. Lehmann, Dennis K. DeWolf, Christopher A. Novotny, Karen Reed, Robert R. Gotwals

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Alpha helices are more evolutionarily robust to environmental perturbations than beta sheets: Bayesian learning and statistical mechanics for protein evolution by Tomoei Takahashi, George Chikenji, Kei Tokita, Yoshiyuki Kabashima

“…The result shows that protein structures rich in α helices are more robust to environmental perturbations through successive generations than those rich in β sheets.…”
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Research on Medium and Long-Term Runoff Forecast of Xijiang River in Dry Season Based on Statistical Model by LAN Yuxi, ZHANG Yin, NONG Zhenchang, WEI Yongjiang

“…Accurate medium and long-term runoff forecast is of great guiding significance to the development and utilization of water resources,allocation optimization,and water dispatch.Based on the three statistical models of mean generating function,periodic analysis,and multiple stepwise regression,this paper studied the medium and long-term runoff forecast of the Longtan Reservoir in the upper reaches of the Xijiang River and the Wuzhou hydrological station in the lower reaches from October to March of the following year and during the entire dry season (six months,from October to March of the following year).The results show that the three models all present positive forecast results.In the calibration and verification periods,the average pass rate exceeds 75%,and the mean absolute percentage error is basically within 30%.The forecast accuracy of the mean generating function and the multiple stepwise regression is significantly higher than that of the periodic analysis,with smaller forecast errors in larger values.Multiple stepwise regression is more stable than the other two models.Furthermore,affected by the consistency of data,the forecast accuracy of the Longtan Reservoir is significantly higher than that of the Wuzhou hydrological station.On the whole,multiple stepwise regression has the optimal forecast effect in the Xijiang River Basin.In addition,it can maintain high forecast accuracy at all levels and stages and provide a valuable reference for water dispatch decisions in the basin.In the future,multi-model fusion can be used to further improve the forecast effect.…”
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