Meeting Report on the Symposium “Evolutionary Applications” at the 3rd Joint Congress on Evolutionary Biology by Hildegard Uecker

“…The symposium furthermore featured a range of scientific methods, ranging from genomic analyses and mathematical modeling to laboratory evolution and field experiments. …”
Get full text

Intermediate Inflation or Late Time Acceleration? by Abhik Kumar Sanyal

“…The expansion rate of “intermediate inflation” lies between the exponential and power law expansion but corresponding accelerated expansion does not start at the onset of cosmological evolution. Present study of “intermediate inflation” reveals that it admits scaling solution and has got a natural exit form it at a later epoch of cosmic evolution, leading to late time acceleration. …”
Get full text

Calcium oscillations in mesenchymal stem cells, a control on cell cycle progression to influence cell fate towards proliferation or differentiation? by Leslie A. Vallet, Marina Sánchez-Petidier, Romain Fernandes, Nataliia Naumova, Caterina Merla, Claudia Consales, Giorgia Innamorati, Franck M. André, Lluis M. Mir

“…Results Although the evolution of the Ca2 + oscillation frequencies differed between the adipogenic and osteogenic differentiation pathways in early stages of differentiation, we observed common features in the late stages: a progressive decrease in the Ca2 + oscillations frequencies, before their complete arrest as the differentiations reached their term. …”
Get full text

Development and study of mucoadhesive microcapsules for the nasal levodopa delivery by D. S. Gordeeva, V. V. Khutoryanskiy, R. I. Moustafine

“…The amount of released drug was determined using an Evolution™ 220 UV spectrophotometer (Thermo Fisher Scientific, USA) at a wavelength of 202 nm.Results and discussion. …”
Get full text

Mobile genetic elements mediating antimicrobial resistance drive the evolutionary process of Clostridioides difficile ST37/RT017 by Tao Lv, Xiajing Bi, Lisi Zheng, Yuhong Zhao, Yizheng Zhou, Tao Wu, Ping Shen, Danhua Zhu, Shiyao Chen, Yunbo Chen

“…Conclusions The systematically analysis in this study suggests that the acquisition of antibiotic resistance genes was the primary driver of adaptive evolution in C. difficile ST37/RT017. Horizontal gene transfer, particularly through mobile genetic elements is a key genetic mechanism in the adaptive evolution of C. difficile ST37/RT017. …”
Get full text

Apatite Geochemical Perspectives on the Maturation of Continental Arc Crust via Mush‐Facilitated Processes During Magmatic Flare‐Up by Long Chen, Peng Gao, Ian Somerville, San‐Zhong Li, Jiang‐Hong Deng, Dong‐Yong Li, Sheng‐Yao Yu, Xiao‐Hui Li, Hua‐Hua Cao, Zi‐Fu Zhao, Zhi‐Feng Yin

“…It remains unclear whether processes involving mush during magmatic flare‐ups would enhance this evolution. This study revealed a temporal‐compositional evolution of plutonic rocks from mafic (∼94 Ma) to intermediate (∼92–88 Ma) to felsic (∼88 Ma) during a magmatic flare‐up event in the Gangdese arc, Tibet, with increasing radiogenic Sr–Nd isotope enrichment. …”
Get full text

Disruption of mgrB gene by ISkpn14 sourced from a bla KPC−2 carrying plasmid mediating polymyxin resistance against carbapenem-resistant Klebsiella pneumoniae during treatment: stu... by Ziyao Li, Zichen Lei, Xinmeng Liu, Feilong Zhang, Xinrui Yang, Yongli Wu, Chen Li, Jiankang Zhao, Yulin Zhang, Yanning Hua, Binghuai Lu, Bin Cao

“…Methods The within-host evolution relationship and molecular features of both CRKPs were determined by pulsed-field gel electrophoresis (PFGE) and whole-genome sequencing (WGS). pKP31311_KPC-2 plasmid genome structures contained in the above two CRKPs were aligned with the homologic plasmids, retrieved from the NCBI genome database via comparative genomic analysis. …”
Get full text

“Restoration of the Past Scenery-Realm”: A Research on the Scenery-Realm Restoration of Jiang’s Fu Garden During Qing Dynasty in the Historical Revolution of the Humble Administrat... by Qian BIAN

“…While academic discourse has established a foundational understanding of the garden’s historical evolution, further examination of its renovations and changes across different eras is still warranted. …”
Get full text

Information coevolution spreading model and simulation based on self-organizing multi-agents by Guoxin Ma, Kang Tian, Hongbo Sun, Hong Zhao, Yongyan Wang

Get full text

Triplet-Style Dynamic Graph Network With Transformer Encoder for Scam Detection in Cryptocurrency Transactions by Min-Woo Nam, Hyeon-Ju Lee, Seok-Jun Buu

“…It leverages a Transformer Encoder for dynamic weight updates, effectively capturing network evolution, and employs Triplet Learning to disentangle representations of similar-appearing scam and benign transactions. …”
Get full text

Inspector Maigret and the Teleromanzo: A Case Study of Early Italian Television by Elena Dagrada

“…Teleromanzi are defined by three features: literary sources, theatrical staging, and installment structure. …”
Get full text

Differences and Similarities among Parotoid Macrogland Secretions in South American Toads: A Preliminary Biochemical Delineation by Juliana Mozer Sciani, Cláudia Blanes Angeli, Marta M. Antoniazzi, Carlos Jared, Daniel Carvalho Pimenta

“…The fact that closely related animals living in different habitats secrete different molecules into the skin is an indication that biological features, and not only evolution, seem to directly influence the skin secretion composition.…”
Get full text

Deep learning detects entire multiple-size lunar craters driven by elevation data and topographic knowledge by Liyang Xiong, Yanxiang Wang, Haoyu Cao, Yingchao Ren, Sijin Li, Yang Chen, Guoan Tang

“…Lunar craters are important geomorphological features, that provide valuable insights into lunar morphology, geology, and impact processes. …”
Get full text

BTFBS: Binding Prediction of Bacterial Transcription Factors and Binding Sites Based on Deep Learning by Bingbing Jin, Song Liang, Xiaoqian Liu, Rui Zhang, Yun Zhu, Yuanyuan Chen, Guangjin Liu, Tao Yang

“…The binding of transcription factors (TFs) to TF binding sites plays a vital role in the process of regulating gene expression and evolution. With the development of machine learning and deep learning, some successes have been achieved in predicting transcription factors and binding sites. …”
Get full text

APEX: an automated cloud-native material property explorer by Zhuoyuan Li, Tongqi Wen, Yuzhi Zhang, Xinzijian Liu, Chengqian Zhang, A. S. L. Subrahmanyam Pattamatta, Xiaoguo Gong, Beilin Ye, Han Wang, Linfeng Zhang, David J. Srolovitz

“…APEX enables the rapid evolution of interatomic potential development and optimization, which is of particular importance in fine-tuning new classes of general AI-based foundation models for applications in materials science and engineering. …”
Get full text

Comprehensive studies of the snow-firn layer in the area of the Russian Antarctic Vostok Station by Aleksei V. Bolshunov, Sergei A. Ignatev, Gleb D. Gorelik, Nikita S. Krikun, Dmitrii A. Vasilev, Ilya V. Rakitin, Vyacheslav S. Shadrin

“…The findings will allow for future improvements to the firn densification model, which is required to understand the evolution of ice grains during the early stages of metamorphism. …”
Get full text

The comparative study of machine learning agent models in flood forecasting for tidal river reaches by Ju Zhou, Liming Chen, Tengfei Hu, Hao Lu, Yong Shi, Liangang Chen

“…SHAP analysis reveals that the feature contribution values in both LSTM and RF models better align with the actual hydrology of the basin. …”
Get full text

Morphological characterization and biostimulation of growth, production, and quality of ‘chiltepín’ (Capsicum annuum var. glabriusculum) using an agroecological approach by Karina Crisalyn IBARRA-LEGARDA, Loreto ROBLES-HERNÁNDEZ, Rocío INFANTE-RAMÍREZ, Ana Cecilia GONZALEZ-FRANCO, María Carmen E. DELGADO-GARDEA, Jared HERNÁNDEZ-HUERTA

“…These results not only highlight the value of the knowledge gained about the phenotypic features of chiltepín, but also the potential of the agroecological approach using biostimulants to optimize the development, production, and quality of this crop. …”
Get full text

Diagnostic framework to validate clinical machine learning models locally on temporally stamped data by Maximilian Schuessler, Scott Fleming, Shannon Meyer, Tina Seto, Tina Hernandez-Boussard

“…Second, it characterizes the temporal evolution of patient outcomes and characteristics. …”
Get full text

MBSE 2.0: Toward More Integrated, Comprehensive, and Intelligent MBSE by Lin Zhang, Zhen Chen, Yuanjun Laili, Lei Ren, M. Jamal Deen, Wentong Cai, Yuteng Zhang, Yuqing Zeng, Pengfei Gu

“…Based on the authors’ industry observations and literature analysis, this paper identifies the primary limitations of traditional MBSE, and introduces MBSE 2.0, a next-generation evolution characterized by comprehensive, integrated, and intelligent features. …”
Get full text