Article
Biochemistry & Molecular Biology
Maria Falaguera, Jordi Mestres
Summary: A method for quantitatively analyzing the congenericity of claimed compounds in patent applications is presented. The method successfully distinguishes patents with highly congeneric compounds from patents with a more diverse set of compounds. The method is applied to 750 common patents from SureChEMBL, SureChEMBLccs, and ChEMBL, and the congenericity of patent compounds in these different sources is discussed.
Article
Management
Kejia Zhu, Shavin Malhotra, Yaohan Li
Summary: This study examines the impact of technological diversity of patent applications on the duration of the patent examination process and proposes a U-shaped relationship between these two variables. The findings support the hypothesized U-shaped relationship and suggest that patent agency and inventor team size may have moderating effects on this relationship. The implications of these results are discussed in the study.
Article
Materials Science, Multidisciplinary
Gang Li, Meiying Leng, Shancheng Wang, Yujie Ke, Wei Luo, Huiru Ma, Jianguo Guan, Yi Long
Summary: Structural colors, resulting from the interaction between light and specific micro- or nanostructures, have properties such as color purity, fade-resistance, and eco-friendliness. The printable structural colors, with advantages of easy fabrication, arbitrary shapes, and scalability, hold great promise in various applications.
Article
Environmental Sciences
Xuankai Zhang, Hao Wang, Baoping Xu, Haimei Wang, Yuanzheng Wang, Tao Yang, Yanda Tan, Jianyin Xiong, Xiaoyu Liu
Summary: In this study, a new analytical model was developed to simulate the emission behaviors of VOCs and SVOCs from indoor materials under ventilated conditions. A hybrid optimization method was introduced to accurately determine the key parameters in the model. The effectiveness of this method was demonstrated through experiments and evaluation with literature data. The study also observed the transition of chemical properties from SVOC-type to VOC-type with increasing temperature.
ENVIRONMENT INTERNATIONAL
(2022)
Article
Biochemistry & Molecular Biology
Wei Wang, Yu Zhang, Dong Liu, HongJun Zhang, XianFang Wang, Yun Zhou
Summary: This study proposes a calculation method that can effectively detect ubiquitination sites in Arabidopsis thaliana. The method achieves promising performances using support vector machine learning classifiers and various feature extraction methods, outperforming previous methods. Additionally, the study provides in-depth analysis of the physicochemical properties of amino acids near ubiquitination sites.
PLANT MOLECULAR BIOLOGY
(2022)
Review
Biochemistry & Molecular Biology
Kai Hong, Limin Wang, Agbaka Johnpaul, Chenyan Lv, Changwei Ma
Summary: Humulus lupulus L. is an essential source of aroma compounds, hop bitter acids, and xanthohumol derivatives mainly used in beer brewing. The biosynthesis pathways of hops have been extensively studied, with key enzymes identified in the production of bitterness, aroma, and antioxidant activity in beers. Further research on these enzymes provides a foundation for their applications in beer production.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Medicine, General & Internal
Andreas Daniel Meid, Ana Isabel Gonzalez-Gonzalez, Truc Sophia Dinh, Jeanet Blom, Marjan van den Akker, Petra Elders, Ulrich Thiem, Daniela Kuellenberg de Gaudry, Karin M. A. Swart, Henrik Rudolf, Donna Bosch-Lenders, Hans J. Trampisch, Joerg J. Meerpohl, Ferdinand M. Gerlach, Benno Flaig, Ghainsom Kom, Kym I. E. Snell, Rafael Perera, Walter Emil Haefeli, Paul Glasziou, Christiane Muth
Summary: This study developed and validated a prognostic model for predicting hospital admissions in complex older general practice patients using individual participant data from four cluster-randomised trials. Prior hospital admissions, physical components of health-related quality of life comorbidity index, and medication-related variables were included in the final model. Despite moderate discriminatory performance in internal validation, there was a pronounced risk of overfitting, which was confirmed by internal-external cross-validation results.
Article
Agriculture, Multidisciplinary
Alexander S. Budnikov, Elena R. Lopat'eva, Igor B. Krylov, Oleg O. Segida, V. Andrey Lastovko, Alexey I. Ilovaisky, Gennady I. Nikishin, Alexey P. Glinushkin, Alexander O. Terent'ev
Summary: This study presents a novel structural type of highly active fungicides, nitropyrazolones, and proposes a scalable method for their synthesis. The synthesized compounds demonstrate high fungicidal activity against various phytopathogenic fungi and human pathogens.
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
(2022)
Article
Multidisciplinary Sciences
Hao-Yuan Li, Hai-Yan Chen, Lei Wang, Shen-Jian Song, Zhu-Hong You, Xin Yan, Jin-Qian Yu
Summary: Previous studies have shown the important role of miRNA in diseases, but only a small portion of miRNA-disease associations have been experimentally verified. Developing computational methods for predicting potential associations has become a focus of research. The SDNE-MDA model integrates attribute and behavior information to predict associations with high accuracy.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Qingyun Wang, Yayuan Xiao, Dazhi Meng
Summary: This paper proposes a new method, MIGN-SKG, for identifying key genes for specific diseases. Using brain tumors as an example, the method effectively identifies genes closely related to brain tumors and achieves a high accuracy rate in testing. The key innovation of this method is that it directly identifies key genes from the perspective of changes in genetic relationships, regardless of differentially expressed genes.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Review
Quantum Science & Technology
Shenshen Yang, Zhilei Yan, Hongzhao Yang, Qing Lu, Zhenguo Lu, Liuyong Cheng, Xiangyang Miao, Yongmin Li
Summary: This paper discusses the importance of information reconciliation in quantum key distribution (QKD) and its impact on continuous variable QKD systems. Various information schemes and error correction codes are introduced. Hardware acceleration of reconciliation algorithm and future challenges are also discussed.
EPJ QUANTUM TECHNOLOGY
(2023)
Article
Management
Wafa'a F. Ta'an, Mohammed Munther Al-Hammouri, Mohammed K. Aldalaykeh, Mohammad M. Suliman, Raghad Almutti
Summary: The study found a significant positive association between structural empowerment and attitudes towards computer use among nurses. Strengthening access to empowerment structures is essential to increase nurses' work efficiency. Improving empowering structures can be achieved by enhancing opportunities to increase professional knowledge and skills towards computerization.
JOURNAL OF NURSING MANAGEMENT
(2021)
Review
Materials Science, Multidisciplinary
Boxuan Cao, Yilu Zhao, Tao Yang, Chain Tsuan Liu
Summary: Co-rich high-temperature alloys with higher melting points and superior particle coarsening resistance have been recognized as promising candidates for the development of next-generation high-temperature structural materials.
ADVANCED ENGINEERING MATERIALS
(2021)
Article
Computer Science, Cybernetics
Manuel B. Garcia
Summary: Teachers play a crucial role in educational institutions and productivity software is essential for them to reduce work pressure and focus on quality education. This study aimed to determine the factors influencing the adoption of productivity software by teachers using the Technology Acceptance Model (TAM). The results showed that perceived usefulness and ease of use of the software are key predictors of behavioral intention, influenced by external variables such as subjective norms, professional reputation, job relevance, output quality, facilitating conditions, and self-efficacy. The findings support the applicability of TAM in the context of productivity software.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Computer Science, Software Engineering
Hajra Naeem, Manar H. Alalfi
Summary: This paper presents an approach for identifying vulnerable IoT applications by using taint flow analysis. The approach mines features related to program structure and statement order, and uses them to build a model for accurately classifying applications as vulnerable. Experimental results show significant improvement compared to a baseline approach.
EMPIRICAL SOFTWARE ENGINEERING
(2022)