Browsing by Author "Qiang, Li"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Performance Analysis of Turbo Codes for 5G Massive Machine-Type Communication(mMTC)(IEEExplore, 2021-12) Adamu, Mohammed Jajere; Qiang, Li; Zakariyya, Rabiu Saleh; Jabire, Adamu Halilu; Kukawa, Halima Bello; Saminu, SaniIn our present and future wireless communication systems, high-performance codes with low design complexity are required for optimum coding gain. In this paper, an efficient Long Term Evolution (LTE) based Turbo decoding algorithm is proposed. it is derived by remodeling the conventional maximum a posteriori probability (MAP) decoder. The proposed scheme aims to reduce the complexity of actualizing the conventional MAP Turbo decoder in the newly mMTC PHY layer features. The overall system performance is analyzed in terms of bit error rate (BER).Item Unraveling the pathophysiology of schizophrenia: insights from structural magnetic resonance imaging studies(Frontier, 2023-05-19) Adamu, Mohammed Jajere; Qiang, Li; Nyatega, Charles Okanda; Younis, Ayesha; Kawuwa, Halima Bello; Jabire, Adamu Halilu; Saminu, SaniBackground: Schizophrenia affects about 1% of the global population. In addition to the complex etiology, linking this illness to genetic, environmental, and neurobiological factors, the dynamic experiences associated with this disease, such as experiences of delusions, hallucinations, disorganized thinking, and abnormal behaviors, limit neurological consensuses regarding mechanisms underlying this disease. Methods: In this study, we recruited 72 patients with schizophrenia and 74 healthy individuals matched by age and sex to investigate the structural brain changes that may serve as prognostic biomarkers, indicating evidence of neural dysfunction underlying schizophrenia and subsequent cognitive and behavioral deficits. We used voxel-based morphometry (VBM) to determine these changes in the three tissue structures: the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). For both image processing and statistical analysis, we used statistical parametric mapping (SPM). Results: Our results show that patients with schizophrenia exhibited a significant volume reduction in both GM and WM. In particular, GM volume reductions were more evident in the frontal, temporal, limbic, and parietal lobe, similarly the WM volume reductions were predominantly in the frontal, temporal, and limbic lobe. In addition, patients with schizophrenia demonstrated a significant increase in the CSF volume in the left third and lateral ventricle regions. Conclusion: This VBM study supports existing research showing that schizophrenia is associated with alterations in brain structure, including gray and white matter, and cerebrospinal fluid volume. These findings provide insights into the neurobiology of schizophrenia and may inform the development of more effective diagnostic and therapeutic approaches.