Prof. Ludovico Abenavoli
29-31 October 2018, EPIC SANA Lisboa Hotel, Lisbon, Portugal
Nankai University is a public research university located in Tianjin, China. It is a Chinese Ministry of Education Class A Double First Class University. It was founded in 1919, by educators Yan Xiu and Zhang Boling.
During the Sino-Japanese War (1937-1945), Nankai University, Peking University and Tsinghua University merged and formed the National Changsha Provisional University, which later moved to Kunming and was renamed the National Southwestern Associated University (西南联大).
Nankai’s alumni include the first Premier of the People’s Republic of China Zhou Enlai, mathematician Shiing-Shen Chern and Nobel laureates Chen NingYang and Tsung-Dao Lee.
“DISCOVERY OF NEW MEDICATION FOR THE TREATMENT OF DEPRESSION COMORBID WITH INFLAMATORY DISEASES”
Current Psychiatry Reviews publishes frontier review articles and guest edited issues dedicated to clinical research on all the latest advances on clinical psychiatry and its related areas e.g. pharmacology, epidemiology, clinical care and therapy. The journal is essential reading for all clinicians, psychiatrists and researchers in psychiatry.
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Current Smart Materials, a peer reviewed journal publishes reviews, original research articles and thematic issues on experimental and applied research on smart materials. The scope covers contemporary and future smart materials e.g. alloys, polymers, self-healing, shape memory alloys, dielectric elastomers, thermoelectric, magnetocaloric & magnetostrictive, photomechanical, halochromic, chromogenic, piezoelectric and ferroelectric materials. Coverage also includes applications to sensors and actuators and other smart material systems applied to a range of disciplines.
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Editor-in-Chief: Current Melanoma Research & Therapy
University of Padova
Background: The rapid improvement in technology enables an Electroencephalogram (EEG) to detect a diverse range of brain disorders easily. The design of sophisticated signal processing methods for an efficient analysis of the EEG signals is exceptionally essential. Raw EEG signal is contaminated by noise and artefacts that modify the spectral-spatial and temporal information of the signal and renders inaccurate clinical interpretation. Denoising of the signal is the first step to refine the signal quality and identify patient’s mental state from the signal although it is not an easy task because of high dimensionality and complexity of EEG signal. The present study highlights three conditions of the brain namely stroke, brain death, and a healthy state. The primary concern is to detect the most abnormal conditions of the brain, i.e., an EEG with a critical stage.
Method: This paper introduces a neoteric technique for the analysis of EEG signals of the three conditions using filters such as Fuzzy filter and wavelet orthogonal filter to obtain highly accurate resultant signals. Further, the resultant filter is trained in Neural Network for predicting the brain abnormalities. The proposed system is found to be efficient in denoising the EEG waves.
Results: The result shows that the classification accuracy of multiclass EEG dataset achieved and the performance of ANN is high and it was found to be the best validation performance of ANN which is 0.2303.
Conclusion: This paper comprehensively describes the denoising of the EEG signals that will provide accuracy in the diagnosis of the EEG to detect brain disorders. The Fuzzy filter pre-processes the signals by considering the noisy signal by an ideal value in such a way that the desired metric (the filtered output) is reduced. The orthogonal wavelet filter produces a single scaling function and wavelet function. The EEG features are extracted from multiple-level decompositions of EEGs by DWT. Finally, the features are classified using Back propagation artificial neural network that categorizes the EEGs to make the diagnosis easier for the brain abnormalities.
Objective: Magnetic Resonance Spectroscopy (MRS) is a noninvasive in vivo technique extensively applied to assess the levels of neural metabolites in the brain. We aimed to summarize the findings of proton spectroscopy (1H MRS) studies addressing neuro-metabolite findings in the Basal Ganglia (BG) of patients with Bipolar Disorders (BD).
Method: A search of PubMed and Ovid databases was conducted to identify ¹H MRS studies since 1990 reporting N-acetylaspartate (NAA), phosphocholine plus glycerophosphocholine (PC+GPC), and creatine plus phosphocreatine (Cr+PCr) levels in the BG of patients with BD.
Results: Ten original studies were included in this review. Three studies involved BD patients with depressed mood, six studied euthymic BD patients, and one study looked at manic subjects. In depressed BD patients, three studies reported elevated PC+GPC and Cr+PCr levels in the caudate and putamen. NAA levels were found to be elevated in two of the studies, while one reported no change. In euthymic BD patients, five studies reported no group differences with respect to any metabolites, and one study found differences in PC+GPC/Cr+PCr associated with lithium treatment. In mania, lower PC+GPC, lower NAA levels, and increased Cr+PCr levels were described in the caudate of BD patients compared to HC.
Conclusion: This review suggests that abnormalities in NAA, GPC+PC, and Cr+PCr levels in the BG might be associated with mood state among BD patients. In addition, the methodological issues involved in the heterogeneity of 1H MRS findings in BD, as well as the potential role of 1H MRS findings as biomarkers for BD, are discussed.
Current Pharmaceutical Biotechnology aims to cover all the latest and outstanding developments in Pharmaceutical Biotechnology. Each issue of the journal includes timely in-depth reviews, original research articles and letters written by leaders in the field, covering a range of current topics in scientific areas of Pharmaceutical Biotechnology. Invited and unsolicited review articles are welcome. The journal encourages contributions describing research at the interface of drug discovery and pharmacological applications, involving in vitro investigations and pre-clinical or clinical studies. Scientific areas within the scope of the journal include pharmaceutical chemistry, biochemistry and genetics, molecular and cellular biology, and polymer and materials sciences as they relate to pharmaceutical science and biotechnology.
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