Spiking Neural Network Based on Threshold Encoding For Texture Recognition

This paper presents a neuromorphic computing model that classifies material textures using a neural coding scheme based on threshold encoding. The proposed threshold encoding converts raw tactile data of each texture into an eventbased data highlighting the spatio-temporal features needed to recognize human touch. Achieved results show that the model can categorize the input tactile signals into their corresponding material textures with high accuracy and fast inference. This work paves the way toward employing the proposed encoding method in more complex tactile based applications from the theoretical and hardware implementation aspects

Provision, protection or participation? Approaches to regulating children’s television in Arab countries

One notable feature of Arab broadcasting has been the belated emergence of free-to-air channels for children. Today, with children’s channels a still-expanding feature of the Arab satellite television landscape, the region is witnessing growth in the local animation industry alongside intensified competition for child audiences through imported content and a selective squeeze on state funds. In this context the policies and rationales that inform production and acquisition of children’s content remain far from transparent, beyond occasional public rhetoric about protecting children from material that ‘breaches cultural boundaries and values’ and providing programmes that revere a perceived ‘Arab-Islamic’ heritage and preserve literary forms of the Arabic language. Attempts at promoting children’s genuine participation in Arab television have been rare. Drawing on theoretical literature that links protection and participation in the sense that children’s safety depends on their agency, this paper explores emerging guidelines developed by Arab regulators, broadcasters and others in relation to television content for children

Prevalence and management of diabetic neuropathy in secondary care in Qatar

Aims Diabetic neuropathy (DN) is a “Cinderella” complication, particularly in the Middle East. A high prevalence of undiagnosed DN and those at risk of diabetic foot ulceration (DFU) is a major concern. We have determined the prevalence of DN and its risk factors, DFU and those at risk of (DFU) in patients with T2DM in secondary care in Qatar. Materials and methods Adults with T2DM were randomly selected from the two National Diabetes Centers in Qatar. DN was defined by the presence of neuropathic symptoms and a vibration perception threshold (VPT) ≥ 15 V. Participants with a VPT≥25 V were categorized as high risk for DFU. Painful DN was defined by a DN4 score ≥ 4. Logistic regression analysis was used to identify predictors of DN. Results In 1082 adults with T2DM (age 54 ± 11 years, duration of diabetes 10.0 ± 7.7 years, 60.6% males) the prevalence of DN was 23.0% (95% CI: 20.5%‐25.5%), of whom 33.7% (95% CI: 27.9%‐39.6%) were at high risk of DFU and 6.3% had DFU. 82.0% of the patients with DN were previously undiagnosed. The prevalence of DN increased with age and duration of diabetes and was associated with poor glycemic control (HbA1c ≥ 9%) AOR = 2.1 (95%CI: 1.3‐3.2), hyperlipidemia AOR = 2.7 (95%CI: 1.5‐5.0) and hypertension AOR = 2.0 (95%CI: 1.2‐3.4). Conclusions Despite, DN affecting 23% of adults with T2DM, 82% had not been previously diagnosed with 1/3 at high risk for DFU. This argues for annual screening and identification of patients with DN. Furthermore, we identify hyperglycemia, hyperlipidemia and hypertension as predictors of DN

Prevalence and risk factors for painful diabetic neuropathy in secondary health care in Qatar.

AIMS/INTRODUCTION:Painful diabetic peripheral neuropathy (PDPN) has a significant impact on the patient's quality of life. The prevalence of PDPN in the Middle East and North Africa (MENA) region has been reported to be almost double that of populations in the UK. We sought to determine the prevalence of PDPN and its associated factors in T2DM patients attending secondary care in Qatar. MATERIALS AND METHODS:This is a cross-sectional study of 1095 participants with T2DM attending Qatar's two national diabetes centers. PDPN and impaired vibration perception on the pulp of the large toes were assessed using the DN4 questionnaire with a cut-off ≥4 and the Neurothesiometer with a cut-off ≥15V, respectively. RESULTS:The prevalence of PDPN was 34.5% (95% CI: 31.7%-37.3%), but 80% of these patients had not previously been diagnosed or treated for this condition. Arabs had a higher prevalence of PDPN compared to South Asians (P<0.05). PDPN was associated with impaired vibration perception AOR=4.42 (95%CI: 2.92-6.70), smoking AOR=2.43 (95%CI: 1.43-4.15), obesity AOR=1.74 (95%CI: 1.13-2.66), being female AOR=1.65 (95%CI: 1.03-2.64) and duration of diabetes AOR=1.08 (95%CI: 1.05-1.11). Age, poor glycemic control, hypertension, physical activity and proteinuria showed no association with PDPN. CONCLUSIONS:PDPN occurs in 1/3 of T2DM patients attending secondary care in Qatar, but the majority have not been diagnosed. Arabs are at higher risk for PDPN. Impaired vibration perception, obesity and smoking are associated with PDPN in Qatar. This article is protected by copyright. All rights reserved

Air quality and urban sustainable development: the application of machine learning tools

[EN] Air quality has an efect on a population¿s quality of life. As a dimension of sustainable urban development, governments have been concerned about this indicator. This is refected in the references consulted that have demonstrated progress in forecasting pollution events to issue early warnings using conventional tools which, as a result of the new era of big data, are becoming obsolete. There are a limited number of studies with applications of machine learning tools to characterize and forecast behavior of the environmental, social and economic dimensions of sustainable development as they pertain to air quality. This article presents an analysis of studies that developed machine learning models to forecast sustainable development and air quality. Additionally, this paper sets out to present research that studied the relationship between air quality and urban sustainable development to identify the reliability and possible applications in diferent urban contexts of these machine learning tools. To that end, a systematic review was carried out, revealing that machine learning tools have been primarily used for clustering and classifying variables and indicators according to the problem analyzed, while tools such as artifcial neural networks and support vector machines are the most widely used to predict diferent types of events. The nonlinear nature and synergy of the dimensions of sustainable development are of great interest for the application of machine learning tools.Molina-Gómez, NI.; Díaz-Arévalo, JL.; López Jiménez, PA. (2021). Air quality and urban sustainable development: the application of machine learning tools. 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The phocein homologue SmMOB3 is essential for vegetative cell fusion and sexual development in the filamentous ascomycete Sordaria macrospora

Members of the striatin family and their highly conserved interacting protein phocein/Mob3 are key components in the regulation of cell differentiation in multicellular eukaryotes. The striatin homologue PRO11 of the filamentous ascomycete Sordaria macrospora has a crucial role in fruiting body development. Here, we functionally characterized the phocein/Mob3 orthologue SmMOB3 of S. macrospora. We isolated the gene and showed that both, pro11 and Smmob3 are expressed during early and late developmental stages. Deletion of Smmob3 resulted in a sexually sterile strain, similar to the previously characterized pro11 mutant. Fusion assays revealed that ∆Smmob3 was unable to undergo self-fusion and fusion with the pro11 strain. The essential function of the SmMOB3 N-terminus containing the conserved mob domain was demonstrated by complementation analysis of the sterile S. macrospora ∆Smmob3 strain. Downregulation of either pro11 in ∆Smmob3, or Smmob3 in pro11 mutants by means of RNA interference (RNAi) resulted in synthetic sexual defects, demonstrating for the first time the importance of a putative PRO11/SmMOB3 complex in fruiting body development