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161 articles for “Complement”
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Research ArticleOpen accessIn the abstractPatient and Mouse Antibodies against Dengue Virus Nonstructural Protein 1 Cross-React with Platelets and Cause Their Dysfunction or DepletionChiou-Feng Lin, Huan-Yao Lei, Ching-Chuan Liu et al.Thrombocytopenia is a clinical manifestation in dengue virus (DV) infection, yet its pathogenic mechanisms are unresolved. We previously showed that dengue patient sera contained antibodies cross-reactive with platelets. In this study, we demonstrated that the anti-platelet activity of dengue patient sera was due to the antibodies against DV nonstructural protein 1 (NS1). Studies using DV-infected or recombinant NS1-immunized mouse sera … …American Journal of Infectious Diseases, Vol. 4, Issue 1 · 31 Mar 2008 · 7,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneration of Anti-platelet Autoantibody During Dengue Virus InfectionKao-Jean Huang, Yee-Shin Lin, Hsiao-Sheng Liu et al.Dengue virus infection causes dengue fever, Dengue Hemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS). Thrombocytopenia is common in dengue fever and is always found in DHF/DSS. The pathogenesis of thrombocytopenia is poorly understood. To further understand the relationship between anti-dengue virus antibody and anti-platelet antibody, we generated monoclonal anti-dengue virus antibodies from the dengue virus infected mice that developed … …American Journal of Infectious Diseases, Vol. 4, Issue 1 · 31 Mar 2008 · 7,537 accessesView PDFCite
Research ArticleOpen accessIn the abstractFPGA Implementation of Power Aware FIR Filter Using Reduced Transition Pipelined Variable Precision GatingA. Senthilkumar, A. M. NatarajanWith the emergence of portable computing and communication system, power awareness is one of the major objectives of VLSI Design. This is its ability to scale power consumption based on the time-varying nature of inputs. Even though the system is not designed for being power aware, systems display variations in power consumption as conditions change. This implies, by the definition … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Value of Serologic Tests for Diagnosis and Follow up of Patients having BrucellosisNidia E. Lucero, Sandra M. Ayala, Gabriela I. Escobar, N R. JacobThough diagnosis of human brucellosis is accurate when the causal agent is isolated, this procedure is not always successful and the most of patients are diagnosed on the basis of rising titres of antibodies in serum. The classical tests used for detection of antibodies to S-Brucella sp., include Rose Bengal (RBT), buffered plate antigen (BPAT), serum agglutination (SAT), 2-mercapto-ethanol (2MET) … …American Journal of Infectious Diseases, Vol. 3, Issue 1 · 31 Mar 2007 · 7,447 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Variable Neighborhood Search Algorithm for Assigning Cells to Switches in Wireless NetworksMatthieu Andr, Gilles Pesant, Samuel PierreThe problem of assigning cells to switches in wireless networks consists of minimizing the total operating cost, that is, the cost of linking cells to switches and the cost of handover from one cell to another, by taking into account factors such as network topology, switch capacity and traffic load in the entire network. Such a problem is well known … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplying Dempster Shafer Theory and Causal Inference in Investigating Internet of Things Digital Forensic ChallengeMohamed El-Dosuky, Sherif K. Ratib et al.The rapid growth of IoT ecosystems has transformed digital forensics, creating challenges in analyzing distributed, heterogeneous, and uncertain evidence. Conventional forensic methods often struggle to handle ambiguous and conflicting IoT data, highlighting the need for robust frameworks that effectively manage uncertainty across multiple evidence sources. This research presents a hybrid forensic framework that integrates Dempster Shafer Theory (DST) for probabilistic … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 901 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 382 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Comprehensive Review of Traditional Antidiabetic Plants Used for Diabetes Management in South AfricaLaverdure Tchamani Piame, Constance Rusike, Yandiswa Yolanda YakoIn the wake of a global resurgence in complementary and alternative medicine, South African flora stands out for its wealth of species long employed in traditional treatments for diabetes. This review evaluates scientific advances in the anti-diabetic potential of traditional medicinal plants harvested in South Africa. Four electronic databases (Scopus, PubMed, Web of Science and African Index Medicus) were exhaustively … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 7 Oct 2026 · 470 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 678 accessesView PDFCite
Review ArticleOpen accessIn the abstractVaccine Misinformation in the Digital Age: A Narrative ReviewOluwatobi AtibaConfidence in immunization has weakened across several regions over the past decade, and the circulation of inaccurate or misleading content about vaccines has accompanied, though not necessarily caused, the resurgence of vaccine-preventable infections. Adequate analysis cuts across immunology, behavioral science, communication research, and public-health practice. This narrative review draws on literature retrieved from PubMed, Scopus, Web of Science, and Embase, … …American Journal of Infectious Diseases, Vol. 22, Issue 1 · 23 Sep 2026 · 592 accessesView PDFCite