Target-agnostic identification of human antibodies to Plasmodium falciparum sexual forms reveals cross-stage recognition of glutamate-rich repeats by Axelle Amen, Randy Yoo, Amanda Fabra-García, Judith Bolscher, William JR Stone, Isabelle Bally, Sebastián Dergan-Dylon, Iga Kucharska, Roos M de Jong, Marloes de Bruijni, Teun Bousema, C Richter King, Randall S MacGill, Robert W Sauerwein, Jean-Philippe Julien, Pascal Poignard, Matthijs M Jore

“…It is well established that antibodies can efficiently block parasite transmission. In search for naturally acquired antibodies targets on sexual stages, we established an efficient method for target-agnostic single B cell activation followed by high-throughput selection of human monoclonal antibodies (mAbs) reactive to sexual stages of Pf in the form of gametes and gametocyte extracts. …”
Get full text

Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…Additionally, we employed an enhanced Iforest-OCSVM anomaly detection model to assess the performance of the association rules in detecting abnormal estrus. …”
Get full text

Development of High-performance Proton Transfer Reaction Time-of-Flight Mass Spectrometer by Chun-guang XIE, Ji-yang ZHANG, Tong YANG, Yu-liang HUANG, Shu-guang XIE, Hui ZHU, Jing-xuan SUN, Ping CHENG

“…By integrating an orthogonal-injection reflectron time-of-flight mass analyzer and a micro-channel plate detector, the instrument’s resolution and sensitivity are significantly enhanced，with the characteristics of high sensitivity, a wide mass detection range, a low detection limit, a wide linear range and little sample pretreatment. …”
Get full text

Histological assessment of inflammatory infiltrates in interstitial cystitis/bladder pain syndrome (IC/BPS): a comparative study of mast cell quantification techniques by Tunch Akmandor, Alex Freeman

“…Therefore, this retrospective study aimed to assess inflammatory cell infiltrate to better understand the role of inflammation to provide diagnostic value in histopathology reports for improved patient treatment and to compare histochemical and immunohistochemical stains for efficiency and sensitivity in detection and quantification of mast cells in detrusor muscle. …”
Get full text

Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

“…The GCN model is trained on this graph, enabling it to learn complex patterns for user identification efficiently.ResultsExperimental results demonstrate that the proposed GCN-MI model achieves 100% accuracy with a 5-layer architecture at a k-fold of 75, outperforming conventional approaches that require less training data.DiscussionThis work introduces several innovations: the integration of MI indices enhances feature selection, improving model robustness and efficiency; the graph-based learning framework effectively captures both spatial and statistical relationships within ECG data, leading to higher classification accuracy; the proposed approach offers a scalable and real-time biometric authentication system suitable for applications in finance, healthcare, and personal device access. …”
Get full text

Machine Learning with Administrative Data for Energy Poverty Identification in the UK by Lin Zheng, Eoghan McKenna

“…Energy poverty continues to be a critical challenge, and this requires efficient and scalable identification methods to support targeted interventions. …”
Get full text

Anchored atomic Ru-O4 architecture enables ultra-effective Fe(VI) activation via avoiding Fe(VI) self-decay for water purification by Yundan Chen, Xiaofei Ge, Jun Li, Zishuai Bill Zhang, Zhenshan Li

“…Compared with other typical transition metal single-atom catalysts, RuGN exhibits moderate interactions with Fe(VI) and thus facilitates the electron transfer via Ru-O-Fe coordination to activate Fe(VI) for efficient CIP degradation. The RuGN/Fe(VI) system resists interference from background substances coexisting in water, achieving efficient CIP degradation under complex water chemistry conditions and in real water samples. …”
Get full text

Advances in Waste Plastic Recycling via Photocatalytic and Electrocatalytic Reforming by Xinjia MIAO, Haihong ZHONG, Weiting YANG, Yongjun FENG, Zhongmin SU

“…However, the large-scale implementation of photocatalytic and electrocatalytic reforming still faces several challenges, including low catalytic efficiency, limited product selectivity, and complex separation and purification processes. …”
Get full text

Enhanced Blade Fault Diagnosis Using Hybrid Deep Learning: A Comparative Analysis of Traditional Machine Learning and 1D Convolutional Transformer Architecture by Syed Asad Imam, Meng Hee Lim, Ahmed Mohammed Abdelrhman, Iftikhar Ahmad, Mohd Salman Leong

“…This enhanced performance was achieved with minimal human intervention and without complex signal processing. The Implementation of this approach within complex rotor systems offers a significant improvement in both the efficiency and reliability of blade FD.…”
Get full text

Protective mechanism of weathering steel rust layers in atmospheric environments and their stabilization treatment technologies by Junyi GAO, Weichen XU, Binbin ZHANG, Canming LI, Guobao LI, Baorong HOU

“…Most alloying elements enhance the protective properties of rust layers by improving their compactness, stability, and ionic selectivity. Research into evaluating the corrosion resistance of rust layers has now expanded to include artificial intelligence, advanced sensors, and big data technologies, making studies more dynamic and efficient. …”
Get full text

The content of heavy metals in the aerial parts of the common nettle and sun spurge from Oštrelj (municipality of Bor): A contribution to the examinations of plant biomonitoring an... by Zoran O. Stevanović, Slađana Č. Alagić, Snežana B. Tošić

“…The most abundant detected metal in both plant species was Cu, with the notification that its concentrations reached even phytotoxic levels. …”
Get full text

High-energy dual-energy computed tomography for the characterization of large and thick objects by Alix Sardet, Daniel Eck, Nicolas Estre, Frédéric Moutet, Emmanuel Payan, Cécilia Tarpau

“…When inspecting complex objects composed of a large number of differents materials, this choice can be crucial. …”
Get full text

Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

“…The research findings provide an efficient and reliable deep learning solution for the localization of pollution sources in complex spaces.…”
Get full text

Importance of forensic accounting in the process of making decisions by the top management by Dragan Cvetković, Ljiljana Dimitrijević, Slaviša Đorđević

“…In modern business conditions, more and more attention is paid to the introduction of forensic accounting into the regular operations of the company and its development, in order to achieve more efficient and effective controls of all organizational parts in the company. …”
Get full text

Revolutionizing Financial management: Unleashing the power of AI for Sustainable Growth by Bhokare Arati S., Patil Snehal D., Kulkarni Praveen. M.

“…By cultivating more sustainable, effective, and efficient corporate practices, artificial intelligence (AI) reinvents financial management. …”
Get full text

Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications by Caizhi Liao, Huaxing Wu, Luigi G. Occhipinti

“…The integration of advanced diagnostic technologies in healthcare is crucial for enhancing the accuracy and efficiency of disease detection and management. This paper presents an innovative approach combining machine learning-assisted 3D flexible fiber-based organic transistor (FOT) sensors for high-accuracy metabolite analysis and potential diagnostic applications. …”
Get full text

mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms by Barnabé, Christian, Sempéré, Guilhem, Manzanilla, Vincent, Millan, Joel Moo, Amblard-Rambert, Antoine, Waleckx, Etienne

“…It provides functions for various tasks such as dereplication, clustering, chimera detection, and taxonomic assignment. VSEARCH is thus very efficient in retrieving the overall diversity of a sample. …”
Get full text

Rapid diagnosis of adult-type diffuse glioma using a layered scheme by Jinsong Wu, Shuai Wu, Dandan Cao, Zhang Xiong, Jianhua Zhang, Yourui Zou, Zanyi Wu, Yanli Nie, Chen Luo, Ye Yao, Yanyan Song, Yuchen Jiao, Hong Chen, Hui Ma, Dezhi Kang, Ying Mao, Hai Yan

“…Abstract Background Molecular biomarkers have become an essential part of the diagnosis of adult-type diffuse glioma. Still, complex detection methods and long-term turnaround for these biomarkers hinder integrated diagnosis in clinical practice. …”
Get full text

Addressing Insider Threats: The Human Factor in Cybersecurity for Financial Institutions by Hewa Majeed Zangana, Harman Salih Mohammed, Mamo Muhamad Husain

“…The findings reveal that AI-powered tools—such as behavioral biometrics, machine learning, and blockchain technologies—substantially enhance fraud detection and risk management. Real-world implementations in financial institutions demonstrated improved threat response, reduced regulatory penalties, and increased operational efficiency. …”
Get full text

MAGNETIC RESONANCE IMAGING OF THE LIVER AND SPLEEN IN THE DIAGNOSIS OF STORAGE DISEASES (literature review) by A. A. Solov’eva, G. A. Yatsyk, U. L. Dzhulakyan, E. A. Lukina

“…Incorporation of MRI into the examination algorithm for patients with storage diseases will be able to improve the detection of these rare diseases and to monitor the efficiency of performed therapy.…”
Get full text