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Objective: Today, the association of blood groups as genetic traits has been confirmed in many diseases. However, its association with gestational diabetes mellitus (GDM) has not been investigated. Therefore, in this study, we investigated the relationship between blood groups and GDM. Materials and Methods: In this analytical cross-sectional study, pregnant women referred to Baqaeipur Clinic and Yazd Diabetes Research Center in 2015-2018Based on the information related to the results of the one-hour OGTT test and the two-hour glucose levels recorded in the file were divided into two groups (GDM, non GDM). Then other information about the participants in the study, including demographic information, medical history, ABO and Rh blood groups, abortion, delivery, and number of pregnancies were extracted from the file and analyzed using SPSS version 23 software. Results: Out of 1708 pregnant women, 244 (14.3%) had GDM, and 1464 (85.7%) did not. There was a statistically significant difference between these two groups in terms of age (P< 0.001), weight (P< 0.001), number of pregnancies (P< 0.001), delivery (P< 0.001), previous diseases (P< 0.001), and Rh (P= 0.01). While in terms of the ABO blood group system (P= 0.3) and abortion rate (P= 0.067), no statistically significant difference was observed. Conclusion: Finally, we concluded that the frequency of the B+ blood group is higher in the GDM group, however, there is no statistically significant relationship between ABO blood groups and GDM.

Berlin’s edema is an acute traumatic maculopathy following ocular blunt trauma, with the major site of injury is photoreceptor outer segments and retinal pigment epithelium (RPE). Optical coherence tomography (OCT) is a useful tool to diagnose and follow microstructural changes in Berlin’s edema. In this report, we present an atypical case of Berlin’s edema that resembled Vogt-Koyanagi-Harada disease. OCT demonstrated multiple neurosensory detachments and giant cystic changes of the outer retina. Fluorescein angiography showed no dye leakage or vascular alterations. The patient was treated with a short period of topical and systemic corticosteroids, and she improved significantly within a few weeks.

Vocabulary as an undeniable part of language learning is a main component in communication which requires to be taught in innovative ways. The purpose of this study was to examine the effect of musical mnemonic on vocabulary recalling, and long-term retention of words by young learners. The design of study was experimental. Sixty teenagers from Shokoh Language Institute in small town of Khorramdare, Iran participated in the study. To conduct the study, participants were divided into experimental and control groups. A list of 14 words were harmonized to melody of mentioned song and recorded in a professional studio. Validity of the words were examined by Lawsh CVR (Content Validity Ratio) and CVI (Content Validity Index). The results from Independent T-Tests indicated that experimental group outscored control group. Regarding research questions, it was found that musical mnemonic improves vocabulary recalling of experimental group in comparison to control group. In addition, results related to research questions showed that musical mnemonic help learners better understand words in new contexts. The findings imply that musical mnemonic can improve memory, and comprehension by practicing, and using melodic and rhythmic information.

The presence of electric vehicle technology in distribution networks as controllable resources provides advantages such as voltage regulation, power peaking, and loss reduction. This technology has a positive effect on the performance of the distribution network, but the simultaneous presence of electric vehicles and distributed generation sources requires optimal planning because the lack of access to an application reduces the life of these technologies and can cause blackouts in the power network. Therefore, in this study, the dynamic reconfiguration of the distribution network in the simultaneous presence of distributed generation sources and electric vehicles is proposed. Also, the time-of-use mechanism has been proposed as one of the demand response applications to improve the power consumption of subscribers. The objective functions in this study include the reduction of energy loss, operational cost and energy not supplied as the objective function of reliability. In general, the optimization problem of distribution network reconfiguration is complex and non-convex. Also, considering the effect of distributed generation units and electric vehicles makes the problem more complicated than before. Therefore, finding a practical method to solve the optimization problem is one of the main challenges of this paper. For this purpose, a novel hybrid algorithm based on a combination of an improved particle swarm optimization-artificial bee colony is presented to overcome the complexities of the optimization problem. The proposed method has

This paper presents a solution for detecting and recovery for the spoof error of GPS receiver signals, in order to increase the accuracy of the navigation system integrating inertial systems with GPS signals. integrated inertial navigation and GPS data has many advantages. However, due to the weakness of satellite signals against jamming and spoof attacks of providing analytical solutions, they have a special place in improving Kalman filter estimation compared to hardware solutions. In this paper, a new method for loosely coupled of INS/GPS is presented, in which the steady state of Kalman gain parameters is used during deception detection and recovery. With the gain parameters of the Kalman filter tending to constant values, with the aim of correcting and predicting the error of state variables, it can be used to detection GPS spoofed data. It can be detected by spoof in the GPS receiver signal when couple with inertial waves through the amount of Kalman gain fluctuations. In the case of closed loop, the Kalman gain matrix denominators tend to a constant value, and in case of deception, this function is associated with many fluctuations. By using dynamic weighting, the effect of errors caused by these attacks is recovered.

هدف از این پژوهش بررسی اثر کیتوزان، تیمول و اتمسفر تغییر یافته بر ویژگی‌های فیزیکوشیمیایی، حسی و میکروبی خربزه تازه برش‌خورده بود. بدین منظور،‌ برش‌های خربزه‌ در محلول حاوی درصدهای مختلف کیتوزان (صفر، 1 و 2%) و تیمول (صفر، 25/0 و‌ 5/0%) به مدت‌2 دقیقه غوطه‌ور شدند. برش‌های تازه میوه پس از پوشش‌دهی و حذف محلول‌های اضافی و نمونه شاهد‌ (پوشش‌داده نشده) در اتمسفر تغییریافته (10% دی‌اکسید‌کربن) و اتمسفر طبیعی بسته‌بندی و به مدت 8 روز در دمایC ͦͦ 4 نگهداری شدند. نتایج بیانگر افزایش میزان دی‌اکسید‌کربن و کاهش اکسیژن در بسته‌بندی تحت اتمسفر اصلاح شده و اتمسفر طبیعی همگام با افزایش دوره ماندگاری بود. اما در نمونه‌های پوشش‌دهی شده با کیتوزان و تیمول شدت کاهش اکسیژن و افزایش دی‌اکسیدکربن کمتر از نمونة شاهد بود. در پایان 8 روز نگهداری، افت وزنی در نمونه‌های پوشش‌دهی شده با کیتوزان و تیمول و نگهداری شده تحت اتمسفر تغییر یافته بسیار کمتراز نمونه شاهد بود (34/0% در مقایسه با 60/13%). افزایش غلظت کیتوزان و بسته‌بندی تحت اتمسفر تغییر یافته سبب افزایش حفظ میزان مواد جامد محلول، اسید قابل تیتراسیون، اسید اسکوربیک و سفتی بافت برش‌های خربزه شد، اما افزایش غلظت تیمول تاثیر معنی‌داری بر این ویژگی‌های کیفی نداشت. شاخص-های رنگی میزان سبزی- قرمزی (a*)، میزان آبی- زردی (b*)، میزان روشنایی (L*) و شاخص قهوه‌ای شدن (BI) نیز تحت تاثیر نوع بسته‌بندی و غلظت کیتوزان قرار گرفتند، اما، تیمار با تیمول بر شاخص‌های رنگی برش خربزه تاثیر معنی‌داری نداشت. اثر متقابل غلظت کیتوزان و غلظت اسانس نشان داد که برش‌های خربزه تیمار شده با غلظت 1% کیتوزان و غلظت‌های 25/0 و 5/0% تیمول دارای کمترین میزان بار میکروبی بودند. پوشش‌دهی با کیتوزان و تیمول و هم‌چنین نوع بسته‌بندی بر همه صفات حسی برش‌های خربزه (تاثیر معنی‌داری داشت (05/0 P

Abstract Purpose: To assess the added risk of acute endophthalmitis after intravitreal injections associated with the widespread use of face masks during the COVID-19 pandemic. Methods: In this retrospective, single-center study, records of patients with acute endophthalmitis following intravitreal bevacizumab (IVB) injections during the pre-COVID era—that is, March 1 st , 2013 to October 31 st , 2019 —and the COVID-19 era—that is, March 1 st , 2020 to April 1 st , 2021 —were reviewed and compared. Results: A total of 28,085 IVB injections were performed during the pre-COVID era; nine eyes of nine patients developed acute post-IVB endophthalmitis in this era, giving an overall incidence of 0.032% (3.2 in 10,000 injections). In the COVID era, 10,717 IVB injections were performed; four eyes of four patients developed acute post-IVB endophthalmitis in this era, giving an overall incidence of 0.037% (3.7 in 10,000 injections). The incidences of post-IVB endophthalmitis during these two eras were not statistically significantly different (P = 0.779). Conclusion: Face masking protocols seem unlikely to impose any additional risk of post-IVB endophthalmitis.

Abstract Background To determine the effect of ketorolac tromethamine 0.5% in preventing post-phacoemulsification macular thickening. This randomized clinical trial. patients randomized 1:1 to receive either topical ketorolac three times a day or a placebo. Methods A total of 101 eyes of 101 diabetic patients who were scheduled for phacoemulsification and had normal macular contour and thickness enrolled consecutively. The topical ketorolac and placebo were prescribed on the day before surgery and continued up to 4 weeks after surgery. Patients with proliferative diabetic retinopathy, a history of intravitreal injection in less than three months, a history of macular photocoagulation in less than 6 months, and any other concomitant ocular pathologies were excluded. Central macular thickness (CMT) and best corrected visual acuity (BCVA) was recorded in the follow-ups of 6, 12, and 24 weeks after the surgery and compared with the controls. Results 49 eyes in the case group and 52 eyes in the control group were analyzed. Mean BCVA was significantly improved in both groups at all follow-ups (P 0.05 for all). Conclusion Based on our findings, topical ketorolac tromethamine 0.5% is not effective in the prevention of post-phacoemulsification macular thickening in diabetic patients. Trail registration The study protocol was registered into www.clinicaltrial.gov with the RCT registration number NCT03551808. (2018/06/11 ) Clinical trial registration number NCT03551808.

Maritime transport is responsible for producing a considerable amount of environmental pollution due to the reliance of ports and ships on the carbon-based energy sources. With the increasing trend towards port electrification to reduce carbon emissions, the operation of ports will be increasingly relying on the electricity network. This interconnection creates multiple challenges due to the complexity of power flow in the port network, uncertainty of vessel arrival time and fluctuation of power generation of renewable energy sources. These uncertainties can lead to an overload in electricity networks and delays in cargo-handling activities, resulting in increased vessel handling times and environmental emissions. This paper presents a joint logistics-electric framework for optimal operation and power management of electrified ports, considering multiple uncertainties in the arrival time of vessels, network demand, and renewable power generation. An optimal power flow method is developed for a real-life port, with consideration for multiple port logistic assets such as cargo handling equipment, reefers, and renewable energy sources. The proposed model ensures feasible port operation for all uncertainty realisations defined by robust optimisation, while minimising operational costs. Simulation results demonstrate that the probability of a network constraint violation can be as high as 70% for an electrified major UK port if the uncertainty in the port operation is neglected, presenting an unacceptable risk of disruption to port activities. Furthermore, such uncertainty can cause 150% increase in emissions if the ships use their auxiliary engine instead of using shore power. The numerical study shows that such challenges can be handled by a 0.3% increase in the robustness in face of uncertainty, while the cost increase in the worst case does not exceed 4.7%. This shows the effectiveness of the proposed method enhancing robustness against uncertainty at the minimum cost.

In the last decade, with the development of the electric vehicle industry and their acceptance in human societies, the participation plan of electric vehicles in supplying the load of the network has been taken into consideration. One of the requirements of this plan is the optimal location of the stations for these vehicles in the network so that they play an effective role in the operation of the network. In this regard, along with the construction of charging and discharging stations for electric vehicles, the construction of renewable sources in the network can play a complementary role for these stations. In this paper, the effect of using renewable resources as a supplement for smart charging stations and the placement of these stations to achieve technical and economic goals have been investigated. In order to manage the demand on the side of consumers and even out the load curve, the time of use mechanism as one of the demand response programs has been considered in this study. In this research, the improved nondominant sorting genetic algorithm is proposed to solve the problem, and the results of the proposed method are also compared with the conventional genetic and particle swarm optimization algorithms. All the simulations have been done in the MATLAB software and on the IEEE 33-bus network. Based on the obtained results, after the implementation of the proposed plan in the distribution network, the objective functions of the loss, voltage drop, and the total cost have been reduced by 13.6%, 58.7%, and 54.4%, respectively, compared to the base conditions of the network.

Abstract Background Breath‐holding spells (BHS) are common in infancy and early childhood and may appear like seizures. Factors such as autonomic dysfunction and iron deficiency anemia are thought to contribute to the incidence of BHS. In this study, electrocardiographic (ECG) parameters of patients with BHS were compared to those of healthy, normal children. Logistic regression and machine‐learning (ML) models were then created to predict these spells based on ECG characteristics. Methods In this case–control study, 52 BHS children have included as the case and 150 healthy children as the control group. ECG was taken from all children along with clinical examinations. Multivariate logistic regression model was used to predict BHS occurrence based on ECG parameters. ML model was trained and validated using the Gradient‐Boosting algorithm, in the R programming language. Results In BHS and control groups, the average age was 11.90 ± 6.63 and 11.33 ± 6.17 months, respectively (p = .58). Mean heart rate, PR interval, and QRS interval on ECGs did not differ significantly between the two groups. BHS patients had significantly higher QTc, QTd, TpTe, and TpTe/QT (all p‐values