6 research outputs found

    A low‐voltage and low‐power current‐mode winner‐take‐all (maximum) circuit

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    Abstract In this Letter, a new low‐voltage and low‐power current‐mode winner‐take‐all (WTA) circuit is proposed. The proposed circuit is able to operate with a low supply voltage requirement while exhibiting a high accuracy. Moreover, the sensitivity of the circuit to the process variations and mismatches is improved. The proposed WTA circuit is designed and simulated in a 65‐nm technology with a supply voltage of VDD = 0.9 V. The post‐layout simulation results show that the power consumption of the proposed circuit is about 72 μW with the input dynamic range of 40 μA

    A neuromorphic CMOS circuit with self-repairing capability

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    Neurophysiological observations confirm that the brain not only is able to detect the impaired synapses (in brain damage) but also it is relatively capable of repairing faulty synapses. It has been shown that retrograde signaling by astrocytes leads to the modulation of synaptic transmission and thus bidirectional collaboration of astrocyte with nearby neurons is an important aspect of self-repairing mechanism. Specifically, the retrograde signaling via astrocyte can increase the transmission probability of the healthy synapses linked to the neuron. Motivated by these findings, in the present research, a CMOS neuromorphic circuit with self-repairing capabilities is proposed based on astrocyte signaling. In this way, the computational model of self-repairing process is hired as a basis for designing a novel analog integrated circuit in the 180-nm CMOS technology. It is illustrated that the proposed analog circuit is able to successfully recompense the damaged synapses by appropriately modifying the voltage signals of the remaining healthy synapses in the wide range of frequency. The proposed circuit occupies 7500- μm2 silicon area and its power consumption is about 65.4 μW . This neuromorphic fault-tolerant circuit can be considered as a key candidate for future silicon neuronal systems and implementation of neurorobotic and neuro-inspired circuits.10.13039/501100004837-Ministerio de Ciencia e Innovación (Grant Number: PID2019-105556GB-C31). 10.13039/501100005317-Kermanshah University of Medical Sciences, Kermanshah, IranPeer reviewe

    A biomimetic circuit for electronic skin with application in hand prosthesis

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    10.1109/tnsre.2021.3120446IEEE Transactions on Neural Systems and Rehabilitation Engineering292333-234

    Comparison of prevalence of periodontal disease in women with polycystic ovary syndrome and healthy controls

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    Background: Polycystic ovary syndrome (PCOS) is the most common endocrine disorder among women of reproductive age, affecting 4-18% of them. Previous studies also showed that periodontal diseases are associated with different components of the metabolic syndrome. The aim of this study is to determine the association between PCOS and periodontal diseases. Materials and Methods: A total of 196 women (98 with PCOS and 98 healthy controls) were enrolled. PCOS diagnosis was confirmed by history, clinical signs, physical examination, laboratory parameters, and ultrasound studies. Both cases and controls were examined by the same periodontist. Periodontal parameters including bleeding on probing (BOP), probing depth, clinical attachment loss (CAL), plaque index, and tooth loss were investigated in all participants. Pregnant women, smokers, individuals with a history of malignancy or osteoporosis, and those taking prophylactic antibiotics for dental procedures or receiving periodontal treatment during the 6-month period before examination were excluded. Data were analyzed using t-test, Chi-square test, and linear regression. Statistical significance was set at P < 0.05. Results: CAL and sites with BOP were significantly higher in women with PCOS (P < 0.05). However, no significant difference was observed in the tooth loss rate between PCOS and non-PCOS participants (P = 0.384). Conclusion: The prevalence of periodontal disease seems to be higher in women with PCOS. This may be related to the role of chronic systemic inflammation in the pathophysiology of both PCOS and periodontal diseases

    The relationship between some endometrial secretion cytokines and in vitro fertilization

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    Background: Endometrial secretion analysis is a non-invasive and promising method in evaluation of endometrial receptivity. Objective: The aim of the present study was to assess the relationship between the success rate of IVF procedures and some endometrial secretion cytokines, including interleukin-1β (IL-1β), tumor necrosis factor (TNF-α), interferon gamma-induced protein 10 (IP-10), and monocyte chemoattractant protein (MCP). Materials and Methods: In a prospective cohort study, 50 women selected for IVF met the study inclusion criteria. All the patients underwent endometrial secretion aspiration prior to embryo transfer. The level of IL-1β, TNF-α, IP-10 and MCP were analyzed by enzyme-linked immunosorbent assay method using special standard kits. To detect successful implantation and pregnancy patients underwent serum human chorionic gonadotropin measurements and ultrasound evaluation. Results: Five samples were excluded. Nine women (20%) had successful clinical pregnancies, which resulted in live birth. Other 36 women (80%) were classified as failed pregnancy. Comparison of cytokine levels showed lower concentrations of TNF-α, IP-10, and MCP in the group with successful clinical pregnancy compared to the group with failed pregnancy (p=0.007, 0.005 and 0.001, respectively). However, no significant difference was revealed in IL-1β levels between two groups (p=0.614). Conclusion: The current study suggested that lower concentrations of TNF-α, IP-10, and MCP in endometrial secretions might be associated with improved endometrial receptivity and IVF outcome. Regarding IL-1β, no statistically significant differences were seen between the groups with and without successful pregnancy

    Primary Immunodeficiency Disorders in Iran: Update and New Insights from the Third Report of the National Registry

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