Studies on the Heteroptera of the Khorasan province in N. E. Iran. II. Cimicomorpha: Miridae

A list of the Miridae species of the Khorasan province in N .E. Iran is published. New synonymy: Orthotylus rudbaricus Linnavuori 1997 = O. turcmenorum Puchkov, 1976, syn.n

Studies on the Heteroptera of the Khorasan province in N. E. Iran. I. Nepomorpha, Gerromorpha, Leptopodomorpha, Cimicomorpha (Nabidae, Anthocoridae), and Pentatomorpha (Coreoidea)

A list of Heteroptera species of the Khorasan province in N. E. Iran is published

Studies on the Heteroptera of the Khorasan province in N. E. Iran. III. Cimicomorpha: Tingidae and Pentatomorpha: Berytidae

A list of the Tingidae and Berytidae of the Khorasan province in N. E. Iran is published

Appropriate Information Technology In Emerging Economies: An Application For Strategic Decision-Making In Manufacturing Industries

Competing in global marketplace has pressured managers respond to shifting market trends by increasing product quality, business process reengineering, and decreasing time to market for new products.  Within emerging economies top executives have realized that adoption of appropriate information technologies such a decision support systems (DSS) and group decision support systems (GDSS) have led to changes in the existing organizational structure and communication mechanisms.  This paper explores the advantages and constraints of DSS and GDSS in formulating manufacturing strategies in emergent economies.  We argued that to fit appropriate information technology to organizational design top executive would benefit from strategic information systems planning process.  This process enables top executives to invest in appropriate information system that fits their structural arrangements and organizational culture.  Moreover, we explored the impact of DSS and GDSS on executive decision-making capabilities.  We also explored the methodology for implementation of appropriate information systems in manufacturing firms in emergent economies

Ternary Weighted Function and Beurling Ternary Banach Algebra l

Let S be a ternary semigroup. In this paper, we introduce our notation and prove some elementary properties of a ternary weight function ω on S. Also, we make ternary weighted algebra l1ω(S) and show that l1ω(S) is a ternary Banach algebra

Machine Learning Approaches to predict Intra-Uterine Insemination Success Rate- Application of Artificial Intelligence in Infertility

Introduction: Assisted Reproductive Technology (ART) has been widely utilized for infertility management. Despite its low success rate, Intra-Uterine Insemination (IUI) is one of the first alternatives and most important approaches regarding many cases of infertility treatment. Given the numerous influencing factors and limitations associated with time and resources, the development of a reliable model to predict the success rate of ART methods can significantly contribute to decision-making processes. Materials and methods: We reviewed the demographic, clinical, and laboratory data regarding 157 IUI treatment cycles among 124 women using their partner’s sperm from May2017 to June2019. Primary outcome measures were clinical pregnancy and live birth. Some prediction models were constructed and compared to the logistic regression analysis. Results: Woman’s mean age was 30.1 ± 5.2 years and the infertility had a female cause in 24.3% of the cases, male cause in 32.6% of cases, and combined causes in 32.6% of the cases. Concerning the first IUI cycle, the clinical pregnancy rate per cycle was 16.9% (N= 21). Data were prepared according to cross-industry standard process for data mining (CRISP-DM) methodology, and the following models were fitted to the data: J48 Decision Tree, Perceptron Multilayer (MLP) Neural Network, Support Vector Machine (SVM) with radial basis function (RBF) kernel, K-Nearest Neighbors (KNN) with one neighborhood, and Bayesian Network. J48 Decision Tree, with a sensitivity of 95% and specificity of 98%, had the most optimal performance, and the KNN model was the weakest one. Conclusion: To predict the results of IUI as a simple and less invasive therapy for infertile couples, some models were applied based on artificial intelligence and J48 Decision Tree was recommended

Applying the DeLone and McLean Model for Assessment of Golestan Academic System: A Case Study

Objective: In this paper, we have tried to evaluate the quality of the “Golestan” system by relying on the conceptual model of Delon and Maclean (2003). Methods: To do this, we have used the Model of Pavkovic, Gasper, and Jadrick (2021), which includes the developed form of the Delon and Maclean model along with the standard formative questionnaire, consists of 5 dimensions and 40 subscales, and organized in the continuum range of 1 to 10. The present study was the educational support staff and students of Tehran public universities who were sampled by multi-stage cluster sampling method and Shahid Beheshti, Shahed, and Allameh Tabataba'i universities were selected as samples and sample sizes of 151 and 302 were determined by Cochran formula for educational support staff and students of the mentioned universities, which finally 128 and 264 employees and students responded to the questionnaire, respectively. Results: Some important findings were obtained from this study. First, the “system performance quality” in all subscales was lower than average, and “information quality” was higher than average. Second, the components of “proportionality to the need”, “the time of registration of inputs”, “alternative access possibility”, “the confidentiality of access”, and “the accuracy of the information” were identified as most important. Third, the evaluation of students about “information quality”, “quality of system performance”, and “service quality” of the Golestan system was more desirable and positive than the staff's point of view. Fourth, only the dimension of “system performance quality” was effective on “system use”, and the rest of the dimensions namely “quality of information” and "quality of information" had no significant effect on the use of the system. Finally, the dimension of “system performance quality” had the most significant indirect effect on user satisfaction. Conclusions: The quality of system performance and its ingredients such as being adjusted to needs, reliable accessibility, optimum response time, optimum input time, error-free performance, and multiple options for getting access are the most important factors of quality for the Golestan system

The relationship of air pollution and surrogate markers of endothelial dysfunction in a population-based sample of children

<p>Abstract</p> <p>Background</p> <p>This study aimed to assess the relationship of air pollution and plasma surrogate markers of endothelial dysfunction in the pediatric age group.</p> <p>Methods</p> <p>This cross-sectional study was conducted in 2009-2010 among 125 participants aged 10-18 years. They were randomly selected from different areas of Isfahan city, the second large and air-polluted city in Iran. The association of air pollutants' levels with serum thrombomodulin (TM) and tissue factor (TF) was determined after adjustment for age, gender, anthropometric measures, dietary and physical activity habits.</p> <p>Results</p> <p>Data of 118 participants was complete and was analyzed. The mean age was 12.79 (2.35) years. The mean pollution standards index (PSI) value was at moderate level, the mean particular matter measuring up to 10 μm (PM₁₀) was more than twice the normal level. Multiple linear regression analysis showed that TF had significant relationship with all air pollutants except than carbon monoxide, and TM had significant inverse relationship with ozone. The odds ratio of elevated TF was significantly higher in the upper vs. the lowest quartiles of PM₁₀, ozone and PSI. The corresponding figures were in opposite direction for TM.</p> <p>Conclusions</p> <p>The relationship of air pollutants with endothelial dysfunction and pro-coagulant state can be an important factor in the development of atherosclerosis from early life. This finding should be confirmed in future longitudinal studies. Concerns about the harmful effects of air pollution on children's health should be considered a top priority for public health policy; it should be underscored in primordial and primary prevention of chronic diseases.</p