Digital technologies for economic sustainable development at Chinese enterprises by A.M., Zheng yang

“…The current research applies such analyses as: logical generalization and сomparison that include clarifying and simplifying the concepts of digital technology and enterprise management; expert evaluation, statistical analysis, data grouping and summary aiming at the research on enterprise market situation, identification, and development of digital technology; factor comprehensive analysis as the method of improving efficiency and productivity by applying digital technology in management; and economic mathematical modeling competitiveness model analysis. …”
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Deep learning-based artificial intelligence for assisting diagnosis, assessment and treatment in soft tissue sarcomas by Ruiling Xu, Jinxin Tang, Chenbei Li, Hua Wang, Lan Li, Yu He, Chao Tu, Zhihong Li

“…Recently, emerging studies have demonstrated that application of DL based on medical images could substantially improve the accuracy and efficiency of clinicians to the identification, diagnosis, treatment, and prognosis prediction of STSs, and thereby facilitating the clinical decision-making. …”
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Software-Based Transformation of White Light Endoscopy Images to Hyperspectral Images for Improved Gastrointestinal Disease Detection by Chien-Wei Huang, Chang-Chao Su, Chu-Kuang Chou, Arvind Mukundan, Riya Karmakar, Tsung-Hsien Chen, Pranav Shukla, Devansh Gupta, Hsiang-Chen Wang

“…With the best accuracy of 98% attained using EfficientNetB7, compared to 97% with WLI, experimental data show that SAVE greatly increases classification metrics across all models. …”
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Prediction of Winter Wheat Yield and Interpretable Accuracy Under Different Water and Nitrogen Treatments Based on CNNResNet-50 by Donglin Wang, Yuhan Cheng, Longfei Shi, Huiqing Yin, Guangguang Yang, Shaobo Liu, Qinge Dong, Jiankun Ge

“…Notably, model accuracy showed significant correlation with yield levels (<i>p</i> < 0.05), suggesting more distinct panicle morphological features in high-yield plots that facilitated model identification. …”
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Kinetics and Solid Effect Investigations During Oil Droplet Desorption from Oil-Contaminated Soil Using the Chemical Cleaning Method by Song Jiang, Lu Wang, Shuo Wang, Jiling Liang, Guang Lu, Lin Li, Yan Zhang, Qinghua Wang, Lunqiu Zhang

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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

“…The results highlight the robustness and efficiency of the proposed model in coastal area applications, where accurate and reliable spectral-spatial classification is crucial for monitoring and environmental management.…”
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Luteolin stabilized in nanosheet and cubic γ-cyclodextrin-based metal organic framework for enhanced bioavailability and anti-inflammatory therapy by Mubarak G. Bello, Shiyu Huang, Zifan Qiao, Zhenhua Chen, Lihua Chen

“…A critical finding was the identification of pH as a key factor in optimizing the loading process, which significantly enhanced encapsulation efficiency. …”
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High-accuracy classification of invasive weed seeds with highly similar morphologies: Utilizing hierarchical bilinear pooling for fine-grained image classification by Lianghai Yang, Jing Yan, Xinyue Cao, Huiru Li, Binjie Ge, JiaXin He, Zhechen Qi, Xiaoling Yan

“…The results demonstrated the HBP-ResNet50 model achieved an outstanding overall benchmark performance accuracy of 99.1 %. …”
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Advancing organic photovoltaic materials by machine learning-driven design with polymer-unit fingerprints by Xiumin Liu, Xinyue Zhang, Ye Sheng, Zihe Zhang, Pan Xiong, Xuehai Ju, Junwu Zhu, Caichao Ye

“…Abstract To enhance the power conversion efficiency (PCE) of organic photovoltaic (OPV) cells, the identification of high-performance polymer/macromolecule materials and understanding their relationship with photovoltaic performance before synthesis are critical objectives. …”
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The Role of Digital Transformation in Manufacturing: Discrete Event Simulation to Reshape Industrial Landscapes by Fabio De Felice, Cristina De Luca, Antonella Petrillo, Antonio Forcina, Miguel Angel Ortiz Barrios, Ilaria Baffo

“…The implemented solutions led to a significant annual increase in productivity, the result of an overall improvement in process efficiency, which was also achieved through the identification and resolution of key process bottlenecks, confirming the method’s effectiveness. …”
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A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset by Isuru Udayangani Hewapathirana

“…The findings emphasize the complementary nature of the two approaches, suggesting that a combined model could achieve a balance between accuracy and computational efficiency. …”
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Disc Diffusion Reader: an AI-powered potential solution to combat antibiotic resistance in developing countries by Hoang B Nguyen, Thanh L Phan, Thi T Ung, Thi KL Nguyen

“…Conclusions: The AI-powered “Disc Diffusion Reader” demonstrated high accuracy and efficiency, by reducing interpretation variability in the AST workflows. …”
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LGM-Net: Wheat Pest and Disease Detection Network Based on Local Global Information Interaction and Multi-Level Feature Fusion by Yimin Qu, Shaobo Yu, Jing Yang

“…Finally, this paper designs a decoupled task-adaptive detection head, including a task-aware layer dominated by channel attention and a feature learning layer dominated by deformable convolution. This model significantly improves the detection efficiency and accuracy of wheat diseases and insect pests, so as to take timely control measures and reduce the yield loss caused by diseases and insect pests, which is of great significance for ensuring global food security, and also provides strong technical support for the development of intelligent agriculture and precision agriculture. …”
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Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth by Rui Zhou, Ziqian Liu, Tongtong Wu, Xianwei Pan, Tongtong Li, Kaiting Miao, Yuru Li, Xiaohui Hu, Haigang Wu, Andrew M. Hemmings, Beier Jiang, Zhenzhen Zhang, Ning Liu

“…In vivo xenograft moues model was constructed to investigate the antitumor efficacy of CDDO-Me. …”
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Diagnostics of the influence of medical and demographic indicators on regional socio-economic systems by M. A. Barinov

“…The article presents approaches to monitoring and assessing social aspects of regional systems with identification of elements of the health system and demographic components that potentially affect the economic efficiency of functioning of territories. …”
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Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle by SM Usman, A Kumar, A Sherasiya, IM Youssef, MM Abo Ghanima, J Chandrakar, R Tiwari, NP Singh, QS Sahib, T Dutt, AA Swelum

“…This has important implications for local dairy farming systems, particularly in data-limited environments, as it offers a practical tool for early identification of high- and low-producing cows. By enabling data-driven selection and culling decisions, the approach supports improved productivity, genetic progress, and economic efficiency in the South African livestock sector. …”
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Predicting the spatio-temporal reproductive potential of Aedes aegypti by Mr Tarek Alrefae

“…Climate trends between 1979−2023 demonstrate the increase in aegypti reproductive potential, especially in those areas not presently endemic to epidemiogically relevant aegypti-based MBVs. The identification of these areas and any trends therein with respect to their spatial distribution can help scientists and public health professionals to model and efficiently implement coherent, evidence-based mosquito control and outbreak mitigation measures.…”
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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

“…Measures include accuracy, recall, precision and F1-score used to evaluate performance.ResultsIt was correct 96.79% of the time using the combined structure. Regarding the identification of brain disorders, the proposed model was more successful than existing ones.DiscussionThese findings indicate that the hybrid strategy makes sense for using complimentary information from several kinds of photos. …”
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Local adaptation, genetic diversity and key environmental interactions in a collection of novel red clover germplasm by A. D. Heslop, A. D. Heslop, Sai K. Arojju, Rainer W. Hofmann, John L. Ford, M. Zulfi Z. Jahufer, Anna C. Larking, Rachael Ashby, Charles A. Hefer, Ken G. Dodds, A. Saei, Jessica O’Connor, Andrew G. Griffiths

“…Through the development of integrated linear mixed models based on genomic, phenotypic, and environmental information we assessed variance components and genotype-by-environment (G x E) interactions for eight physiological and morphological traits. …”
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Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study by Yi Xie, Yi Xie, Xinmeng Wang, Huiwen Yang, Huiwen Yang, Jiayao Zhang, Honglin Wang, Zineng Yan, Jiaming Yang, Zhiyuan Yan, Zhiwei Hao, Pengran Liu, Yijie Kuang, Zhewei Ye, Zhewei Ye

“…A total of 4,581 patients was included for retrospective study and establishment of the explainable and distributed SL model. An explainable object detection algorithm was proposed for the identification of fractures. …”
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