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- Fountoulakis, K.N., et al.
(författare)
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Modeling psychological function in patients with schizophrenia with the PANSS : An international multi-center study
- 2021
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Ingår i: CNS Spectrums. - : Cambridge University Press. - 1092-8529 .- 2165-6509. ; 26:3, s. 290-298
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Tidskriftsartikel (refereegranskat)abstract
- Background.The aim of the current study was to explore the changing interrelationships among clinical variables through the stages of schizophrenia in order to assemble a comprehensive and meaningful disease model.Methods.Twenty-nine centers from 25 countries participated and included 2358 patients aged 37.21 ± 11.87 years with schizophrenia. Multiple linear regression analysis and visual inspection of plots were performed.Results.The results suggest that with progression stages, there are changing correlations among Positive and Negative Syndrome Scale factors at each stage and each factor correlates with all the others in that particular stage, in which this factor is dominant. This internal structure further supports the validity of an already proposed four stages model, with positive symptoms dominating the first stage, excitement/hostility the second, depression the third, and neurocognitive decline the last stage.Conclusions.The current study investigated the mental organization and functioning in patients with schizophrenia in relation to different stages of illness progression. It revealed two distinct “cores” of schizophrenia, the “Positive” and the “Negative,” while neurocognitive decline escalates during the later stages. Future research should focus on the therapeutic implications of such a model. Stopping the progress of the illness could demand to stop the succession of stages. This could be achieved not only by both halting the triggering effect of positive and negative symptoms, but also by stopping the sensitization effect on the neural pathways responsible for the development of hostility, excitement, anxiety, and depression as well as the deleterious effect on neural networks responsible for neurocognition.
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| 2. |
- Oyekanlu, Emmanuel, et al.
(författare)
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Advanced Signal Processing for Communication Networks and Industrial IoT Machines Using Low-Cost Fixed-Point Digital Signal Processor
- 2018
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Ingår i: 2018 10th International Conference on Advanced Infocomm Technology (ICAIT). - : IEEE. ; , s. 93-101
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Konferensbidrag (refereegranskat)abstract
- In this paper, the uses and functions of an existing, widely available digital signal processor (DSP) is extended to include using it to generate needed waveforms that could be used for computing, filtering, modulation and noise removal applications at the edges of communication networks that supports Industrial Internet of Things (IIoT) and Cyber Physical Systems (CPS). Such waveforms could also be used to optimize performances of IIoT communication networks such as wireless and powerline communication networks. The C28x digital signal processor (DSP), manufactured by Texas Instruments is used as a case study, and it is deployed in this paper as a mother wavelet generator by programming it to generate needed wavelets using embedded C programming language. Our implementation is the first known application of the C28x as a basic mother wavelet generator. Advanced signal processing method which include signal clipping, sequencing and concatenation are used with embedded C to program the C28x DSP. Wavelets generated with the C28x DSP are found to satisfy the wavelet admissibility condition. The open-loop voltage signal of an IIoT machine, generated at an IIoT network edge, and sent across a powerline communication (PLC) channel is used to evaluate the performance of the constructed Mexican Hat wavelet. The Mexican Hat wavelet constructed using the C28x DSP is used to remove noise from the machine signal corrupted with noise when the signal is transmitted over a PLC channel. Denoised signal using the DSP based Mexican Hat wavelet shows high correlation when compared to the original transmitted signal, while communication channel noise is successfully removed from the original signal.
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| 3. |
- Oyekanlu, Emmanuel, et al.
(författare)
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Arbitrary Waveform Generation for IoT and Cyber Physical Systems Communication Networks Using C28x TMS320C2000 Digital Signal Processor
- 2018
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Ingår i: 2018 10th International Conference on Advanced Infocomm Technology (ICAIT). - : IEEE. ; , s. 102-109
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Konferensbidrag (refereegranskat)abstract
- Arbitrary waveform generators (AWGs) are very expensive instruments useful for generating complex signals and waveforms needed as communication and test signals for state of the art communication, Internet of Things (IoT), and Cyber Physical Systems (CPS) devices. In recent years, research has been directed towards making powerline communication (PLC) feasible as a last mile communication network for IoT, smart grid (SG) and CPS. This paper present results of using a low-cost PLC modem (Texas Instrument's TMS320C2000 C28x) and embedded C programming language as an AWG to generate test signals for PLC, SG, IoT and CPS research purposes. Our implementation is the first known application of the TMS320C2000 C28x as an AWG. Using embedded C language makes the waveforms generated platform independent, and thus, avoids the use of platform dependent hexadecimal assembly languages. This method also overcomes the rigid amplitude problem of the Direct Digital Synthesis (DDS) technique. The core embedded signal processor used in this paper is the low-cost TMS320C2000 C28x which is widely deployed in many IoT, CPS, industrial systems and communication networks devices worldwide. It has 16-bit resolution at 100 kHz bandwidth. Several examples of industrial grade arbitrary waveforms were constructed for the TMS320C2000 C28x with the embedded C programming technique. Hence arbitrary signals generated using the C28x will be useful in testing many state of the art and legacy communication, IoT, SG, and CPS networks and devices worldwide. In addition to signal generation, examples are shown of using the arbitrary waveforms generated with TMS320C2000 to implement amplitude modulation (AM) and pulse amplitude modulation (PAM) schemes for CPS, IoT and PLC communication networks.
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