The Need and Use the Rural ICT Services in Iranian Rural Areas

Nowadays, Internet access and use of information resources in all human societies are experiencing a rising trend, and different communities are used each with multiple infrastructures due to the benefits of ICT. The present study was based on applied research. In this research, a hybrid approach involving quantitative methods (survey) and qualitative (observation, interviews) was used. Statistical population of this study consists of two parts, the first part responsible for rural ICT offices, with a population of 125 people using Cochran Formula 80 subjects were selected as first sample, and the second part of the rural of first sample villages with a population of 84,836 people using Cochran formula and randomized-comparative method were studied as second sample. The questionnaire was subjected to reliability testing by using data collection in the pilot study with Cronbach's Alpha value 0.73 to 0.95 for all variables. SPSS statistical software was used to analysis the data. The results of the study indicate that the overall performance of the agencies providing services to the rural was lower-middle in the offices in banking services has received first place, and the final ranking in the provision of health services. The results of study showed that rural employment, level education and family size effect on the rate of rural ICT offices

A parallel algorithm for determining two-dimensional object positions using incomplete information about their boundaries

Extraction of two-dimensional object locations using current techniques is a computationally intensive process. In this paper a parallel algorithm is presented that can specify the location of objects from edge streaks produced by an edge operator. Best-first searches are carried out in a number of non-interacting and localized edge streak spaces. The outcome of each search is a hypothesis. Each edge streak votes for a single hypothesis; it may also take part in the formation of other hypotheses. A poll of the votes determined the stronger hypotheses. The algorithm can be used as a front end to a visual pattern recognition system where features are extracted from the hypothesized object boundary or from the area localized by the hypothesized boundary.Experimental results from a biomedical domain are presented.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/28103/1/0000551.pd

Wavelet Analysis in Virtual Colonoscopy

The computed tomographic colonography (CTC) computer aided detection (CAD) program is a new method in development to detect colon polyps in virtual colonoscopy. While high sensitivity is consistently achieved, additional features are desired to increase specificity. In this paper, a wavelet analysis was applied to CTCCAD outputs in an attempt to filter out false positive detections. 52 CTCCAD detection images were obtained using a screen capture application. 26 of these images were real polyps, confirmed by optical colonoscopy and 26 were false positive detections. A discrete wavelet transform of each image was computed with the MATLAB wavelet toolbox using the Haar wavelet at levels 1-5 in the horizontal, vertical and diagonal directions. From the resulting wavelet coefficients at levels 1-3 for all directions, a 72 feature vector was obtained for each image, consisting of descriptive statistics such as mean, variance, skew, and kurtosis at each level and orientation, as well as error statistics based on a linear predictor of neighboring wavelet coefficients. The vectors for each of the 52 images were then run through a support vector machine (SVM) classifier using ten-fold cross-validation training to determine its efficiency in distinguishing polyps from false positives. The SVM results showed 100% sensitivity and 51% specificity in correctly identifying the status of detections. If this technique were added to the filtering process of the CTCCAD polyp detection scheme, the number of false positive results could be reduced significantly

Rheological properties of bitumen modified with a combination of FT paraffin wax (sasobit®) and other additives

Fischer–Tropsch paraffin Sasobit® is a popular Warm Mix Asphalt (WMA) modifier applied to improve physi­cal and rheological properties of bitumen. Although there are a number of studies investigating the effects of sasobit on bitumen properties, little has been carried out on evaluation of bitumen modified by sasobit along with other additives. In this study, sasobit modified bitumen is used as the base condition and four common modifiers namely anti-stripping agent, Crumb Rubber (CR), Styrene–Butadiene–Styrene (SBS) and Polyphosphoric Acid (PPA) are added separately to the FT – Wax modified bitumen to evaluate the compatibility of these additives with sasobit. Morphological, rheological and physical properties of modified binders are studied using Fourier Transform Infrared Spectroscopy (FT-IR), Scan­ning Electron Microscopy (SEM), Dynamic Mechanical Analysis (DMA), Bending Beam Rheometer (BBR) alongside with conventional tests. Results show that although anti-stripping agent reduce bitumen viscosity and mixing/compac­tion temperatures of asphalt mixtures, it has significantly increased the stiffness of sasobit modified bitumen at low temperatures. Among all, sasobit and crumb rubber combination exhibited the best performance, especially at low and intermediate temperatures

Impact of United States political sanctions on international collaborations and research in Iran

International research collaborations improve individual, institutional and governmental capacities to respond to health crises and inequalities but may be greatly affected by political environments. Iran ranks highly in tertiary education, productivity growth, knowledge impact and successful patent applications. In many countries, economic hardship has correlated with increased international research collaborations. Some have hypothesised that financial constraint drives scholars to seek outside collaborations for cost and risk sharing, and to access funding, materials and patient populations otherwise unavailable. This paper explores the history and importance of US political sanctions on the health of Iran’s academic sector. Although Iran’s international research collaborations increased during periods of increased sanctions, the Pearson correlation coefficient between gross domestic product and international research collaborations was not significant (r=0.183, p=0.417). This indicates that other factors are at least in part responsible. Additionally, we found Iran’s quantitative (eg, publication number) and qualitative (eg, visibility indices) publishing metrics to be discordant (two-tailed Mann–Kendall trend; p<0.0002 for both). Reasons for this are multifactorial, including increased indexing of Iranian journals, willingness of lower visibility journals to handle manuscripts with Iranian authors, widespread linkage of career advancement to science visibility indices, and others. During periods of increased sanctions, Iranian scholars were increasingly denied opportunities to publish scientific findings, attend scientific meetings, access to essential medical and laboratory supplies and information resources. We conclude that academic boycotts violate researchers’ freedom and curtail progress. Free exchange of ideas irrespective of creed is needed to optimize global scientific progress

A study of the association between cognitive abilities and dietary intake in young women

Background: Cognitive abilities comprise activities that relate to receiving and responding to information from the environment, internal processing, making complex decisions, and then responding to this in the context of behavior. Aim: The current study investigated the association between dietary intake and seven aspects of cognitive abilities among healthy young women. Methods: The study was carried out among 182 women aged 18–25 years. A valid and reliable food frequency questionnaire containing 65 food items was used to estimate dietary intake. Neuropsychological function and cognitive abilities of participants were determined using standard questionnaires. Results: Significant differences were found in depression, anxiety, stress, physical, and mental health-related quality of life as well as daytime sleepiness for the participants in different quartiles of cognitive abilities score (p<0.05). Participants in the fourth quartile of cognitive abilities score consumed significantly higher energy, carbohydrate, protein, calcium, iron, zinc, vitamin A, thiamin, and riboflavin compared to those in the lowest quartile (p<0.05). There were strong correlations between total cognitive abilities score and dietary sodium, calcium, phosphorus, and thiamin (p<0.05). Using stepwise multiple linear regression analysis, iron and thiamin were statistically significant factors for the prediction of cognitive abilities. Conclusions: These findings demonstrate that neurocognitive function is related to dietary macro and micronutrients including energy, carbohydrate, protein, calcium, iron, zinc, vitamin A, thiamin, and riboflavin on cognitive performance among young women without memory deficit

The antinociceptive effects of rosuvastatin in chronic constriction injury model of male rats

Introduction: According to studies, statins possess analgesics and anti-inflammatory properties. In the present study, we examined the antinociceptive, anti-inflammatory and antioxidative effects of rosuvastatin in an experimental model of Chronic Constriction Injury (CCI). Methods: Our study was conducted on four groups; sham, CCI (the control group), CCI+rosuvastatin (i.p. 5 mg/kg), and CCI+rosuvastatin (i.p. 10 mg/kg). We performed heat hyperalgesia, cold and mechanical allodynia tests on the 3rd, 7th, 14th, and 21st after inducing CCI. Blood samples were collected to measure the serum levels of Tumor Necrosis Factor (TNF)-α, and Interleukin (IL)-6. Rats' spinal cords were also examined to measure tissue concentration of Malondialdehyde (MDA), Superoxide Dismutase (SOD), and Glutathione Peroxidase (GPx) enzymes. Results: Our findings showed that CCI resulted in significant increase in heat hyperalgesia, cold and mechanical allodynia on the 7th, 14th and 21st day. Rosuvastatin use attenuated the CCI-induced hyperalgesia and allodynia. Rosuvastatin use also resulted in reduction of TNF-α, IL-6, and MDA levels. However, rosuvastatin therapy increased the concentration of SOD and GPx in the CCI+Ros (5 mg/kg) and the CCI+Ros (10 mg/kg) groups compared to the CCI group. Conclusion: Rosuvastatin attenuated the CCI-induced neuropathic pain and inflammation. Thus, antinociceptive effects of rosuvastatin might be channeled through inhibition of inflammatory biomarkers and antioxidant properties

AI in Medical Imaging Informatics: Current Challenges and Future Directions

This paper reviews state-of-the-art research solutions across the spectrum of medical imaging informatics, discusses clinical translation, and provides future directions for advancing clinical practice. More specifically, it summarizes advances in medical imaging acquisition technologies for different modalities, highlighting the necessity for efficient medical data management strategies in the context of AI in big healthcare data analytics. It then provides a synopsis of contemporary and emerging algorithmic methods for disease classification and organ/ tissue segmentation, focusing on AI and deep learning architectures that have already become the de facto approach. The clinical benefits of in-silico modelling advances linked with evolving 3D reconstruction and visualization applications are further documented. Concluding, integrative analytics approaches driven by associate research branches highlighted in this study promise to revolutionize imaging informatics as known today across the healthcare continuum for both radiology and digital pathology applications. The latter, is projected to enable informed, more accurate diagnosis, timely prognosis, and effective treatment planning, underpinning precision medicine