Performance Evaluation of Apache Spark MLlib Algorithms on an Intrusion Detection Dataset

The increase in the use of the Internet and web services and the advent of the fifth generation of cellular network technology (5G) along with ever-growing Internet of Things (IoT) data traffic will grow global internet usage. To ensure the security of future networks, machine learning-based intrusion detection and prevention systems (IDPS) must be implemented to detect new attacks, and big data parallel processing tools can be used to handle a huge collection of training data in these systems. In this paper Apache Spark, a general-purpose and fast cluster computing platform is used for processing and training a large volume of network traffic feature data. In this work, the most important features of the CSE-CIC-IDS2018 dataset are used for constructing machine learning models and then the most popular machine learning approaches, namely Logistic Regression, Support Vector Machine (SVM), three different Decision Tree Classifiers, and Naive Bayes algorithm are used to train the model using up to eight number of worker nodes. Our Spark cluster contains seven machines acting as worker nodes and one machine is configured as both a master and a worker. We use the CSE-CIC-IDS2018 dataset to evaluate the overall performance of these algorithms on Botnet attacks and distributed hyperparameter tuning is used to find the best single decision tree parameters. We have achieved up to 100% accuracy using selected features by the learning method in our experimentsComment: Journal of Computing and Security (Isfahan University, Iran), Vol. 9, No.1, 202

Semiartificial propagation of Stizostedion lucioperca and rearing them to fingerling size

A research experiment carried out to pike-perch culture for enhancement program in southwest Caspian Sea. Broodstock achieve spawning time during March-April when the ambient temperature in local climate ranges 12–14°C. Manmade nests prepared by wooden frames and which synthetic wool bunches are fastened and placed in pond water at intervals of 5 meters each. The spawners preferred the green texture nest material which were placed close to bottom. The eggs drop on the nest and average fertilization occurred 30-90%. The nests, eggs on them are kept in mist chamber and also collected fertilized eggs placed into 200 Lit zughar for development. The former method and technique produced better survival rate. Appearance of eye pigmentation on the eggs observed during the 3th or 4th day of incubation process. Yolk-sac absorption lasted 9-13 days. The water temperature recorded 12-16°C during the culture. The numbers of 1 g dry eggs computed 1900-2050 and swelled eggs 1120-1170. Average size of one-day old larvae were 2.8-3.5 mm and the size of first exogenous feeding fries measured 4-6 mm

Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-aided MISO URLLC Systems

Reconfigurable intelligent surfaces (RISs) can assist the wireless systems in providing reliable and low-latency links to realize the requirements in Industry 4.0. In this paper, the practical phase shift optimization in a RIS-aided ultra-reliable and low-latency communication (URLLC) system at a factory setting is performed by applying a novel deep reinforcement learning (DRL) algorithm named as twin-delayed deep deterministic policy gradient (TD3). First, the system achievable rate in finite blocklength (FBL) regime is identified for each actuator then, the problem is formulated where the objective is to maximize the total achievable FBL rate, subject to non-linear amplitude response and the phase shift values constraint. Since the amplitude response equality constraint is highly non-convex and non-linear, we employ the TD3 to tackle the problem. The considered method relies on interacting RIS with industrial scenario by taking actions which are the phase shifts at the RIS elements, to maximize the total FBL rate. We assess the performance loss of the system when the RIS is non-ideal, i.e., non-linear amplitude response with/without phase quantization and compare it with ideal RIS. The numerical results show that optimizing phase shifts in non-ideal RIS via the considered TD3 method is highly beneficial to improve the performance.Comment: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl

Drug Use among Iranian Drivers Involved in Fatal Car Accidents

Background: Although the problem of substance use among drivers is not limited to certain parts of the world, most epidemiological reports on this topic have been published from industrial world. Aim: To investigate pattern of drug use among Iranian drivers who were involved in fatal road accidents. Methods: This study enrolled 51 Iranian adults who were involved in fatal vehicle accidents and were imprisoned thereafter. Data came from a national survey of drug abuse that was done among Iranian prisoners. The survey collected data at the entry to seven prisons in different regions of the country during a 4-month period in 2008. Self-reported lifetime, last year, and last month drug use was measured. Commercial substance screening tests were applied to detect recent substance use (opioids, cannabinoids, methamphetamines, and benzodiazepines). Results: The commercial substance screening test showed three distinct patterns of recent illicit drug use: opioids (37.3%), cannabinoids (2.0%), opioids and cannabinoids (13.7%). 29.4% were also positive for benzodiazepines. The substance use screening test detected 23.5% of participants who had used drugs but did not disclose any substance use. Conclusion: Opioids are the most common illicit drugs being used by Iranian drivers who are involved in fatal car accidents. The high rate of substance use prior to fatal car accidents in Iran advocates for the need for drug use control policies and programs as major strategies for injury prevention in Iran. There is also a need for substance screening among all drivers involved in fatal car accidents in Iran, as more than 20% of users may not disclose substance use

Determination of Heavy Metals through Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) in Iranian Cheese and Their Potential Health Risks to the Adult Consumers

In Iran, cheese is one of the dairy products that widely consumed as a main diet for breakfast. Moreover, trace metals in dairy products have recently gained considerable attention. Iranian cheese samples were collected from Tehran, Iran (February to May 2013). Trace metals including Pb, Cd, Ni, Fe, Sn, Zn, Cr, and Cu were analyzed using inductively coupled plasma optical emission spectrometry (ICP-OES) after dry ashing. All the tested metals were detected in the cheese samples. The mean concentration of metals in cheese showed the following decreasing order Zn > Fe > Cu > Ni > Sn > Cr > Pb > Cd, with values of 12.98, 7.95, 1.96, 0.83, 0.46, 0.37, 0.34, and 0.01 mg/kg, respectively. There were no significant differences between types of cheese samples in terms of content of trace metals (p>0.05). All the samples had Pb contents of greater than Codex limit (0.02 mg/kg). According to the measured values of the metals in this study, the intake of all the studied elements through the common consumption of cheese in Iran was below the dangerous level according to permissible intake value for each metal. Also, levels of correlations between the element pairs were analyzed

Therapeutic Effect of Intrastromal Voriconazole, Topical Voriconazole, and Topical Natamycin on Fusarium

Purpose. Evaluating the therapeutic effect of topical and intrastromal voriconazole and topical natamycin on Fusarium keratitis. Methods. 24 rabbits were selected. The stroma of their corneas was inoculated with suspension of Fusarium solani species complex. Seven days after injection they were divided into 4 groups randomly: the first group was treated with topical voriconazole (TV) 1% for one week, the second one with one-time intrastromal injection of voriconazole (ISV) 50 microgram/0.1 mL, and the third group with topical gel of natamycin (TN) for one week, and the last one did not receive any antifungal treatment. Finally the eyes were enucleated and sclerocorneal buttons were sent for histological and microbiological examinations. Results. After treatment the ISV group and TN group showed significantly lower clinical score and colony forming units than the control group (P=0.040 and P=0.026, resp.), but there was statistically no significant difference between control and TV groups (P=0.249) or between ISV and TN groups (P=0.665). In pathological evaluation, fewer chronic inflammations were reported in 2 of the 3 buttons from TV group and 3 of the 3 buttons from ISV and TN groups in comparison with the control group. Conclusion. Intrastromal injection of voriconazole seems to be effective in treatment of Fusarium keratitis as much as topical natamycin and these are more effective than topical voriconazole

Prioritization of Factors Affecting Time Management among Health Managers

Introduction: In today's world, having principle and targeted management is one of the progress and development factors of any organization. Effective use of time for each manager is the most important base for managing current affairs and controlling daily activities. The present study aimed to investigate and analyze the relationship between factors affecting time management among the senior, middle and first-line managers of the hospitals in Kermanshah in 2015. Methods: This was a cross-sectional and descriptive-analytical study conducted in 2015 in ten hospitals of Kermanshah. The study population consisted of all senior, middle and first-line managers of the studied hospitals (N=240) which were selected using census method. The required data were collected using a researcher-made pair-wise comparison questionnaire. The collected data were analyzed using the DEMATEL technique through Matlab8.1.0.604 software. Results: The results showed that, from the studied managers’ viewpoints, the variables of goal setting and prioritization of objectives and activities were certainly affecting variables and located in the cause group. Also, the variables of planning, delegation, communication management, and meetings management were affected variables and located in the effect group. Furthermore, in the hierarchy of affecting and affected variables influencing time management, goal setting and meetings management with the coordinates (1.23, 1.23) and (1.06, -1.05) were identified as the highest and lowest priorities and were considered as the most affecting and most affected variables, respectively. Conclusion: The results of the present study showed that among the studied variables influencing time management, goal setting was the highest priority and most affecting variable, and meetings management was the lowest priority and the most affected variable. It is recommended to increase the hospital managers’ knowledge about time management and the need for accurate goal setting through providing management and time management courses, and requiring them to develop a time management plan in order to improve their time management

A study on water quality and physio- chemicals parameters in surface water, underground water and wastewater of Mangol dam basin (Mazandaran province)

This study was conducted to determine water quality of surface water (7 stations), ground water (5 stations) and wastewater (4 stations) at Haraz River during instruction of Mangol Dam in 2009-2010. This study is to follow physico-chemical fluctuation of waters and compared the data obtained with previous studies and standard levels. Results of current study showed that annual mean with standard error of temperature, DO, BOD_5, COD, HCO^3-, CO_3^2-, TA, Ca^2+, Mg^2+, TH, TSS, TDS, Cl^-, PO_4^3-, NH^4+, NO2- and NO3- were observed 12.7 (±0.61) centigrade, 10.13 (±0.12), 2.1 (±0.1), 7.71 (±0.99), 28.1 (±6.1), 14.34 (±1.64), 36.30 (±2.33), 64.66 (±2.34), 28.84 (±1.52), 271.62 (±8.41), 0.37 (±0.03), 0.30 (±0.02), 28.02 (±1.96), 0.06 (±0.01), 0.010 (±0.001) and 0.94 (±0.03) mg/l, pH was 8.00 (±0.02) and EC 0.50 (±0.02) ms/cm in surface water. The annual mean with standard error of temperature, HCO^3-, CO_3^2-, TA, Ca^2+, Mg^2+, TH, TSS, TDS, Cl^-, PO4^3-, NH^4+, NO^2- and NO^3- were observed 21.62 (±1.03) centigrade, 54 (±5), 11 (±5), 57 (±5), 208.6 (±42.5), 109 (±23), 1088 (±165), 0.065 (±0.017), 0.97 (±0.11), 317.8 (±76.2), 0.25 (±0.06), 0.06 (±0.01), 0.0007 (±0.0001) and 0.78 (±0.05) mg/l, pH was 7.37 (±0.07) and EC 1.98 (±0.23) ms/cm in underground water. In addition, the annual mean with standard error of temperatute, DO, BOD5, COD, TSS, TDS, and NO3- were observed 12.7 (±0.61) centigrade, 13.59 (±0.87), 9.80 (±0.12), 2.22 (±0.18), 7.54 (±1.02), 0.50 (±0.03), 0.320 (±0.008) and 0.990 (±0.016) mg/l, pH was 7.95 (±0.02) and EC 0.64 (±0.01) ms/cm in wastewater. Quality of surface water of Haraz River and its branches were almost contained suitable for usual applications, but sometimes the quality of surface water based on BOD5 need to more attention for man uses (such as supply of drinking water). In addition, the quality of surface water was relatively suitable for aquatic based on the aquatic standard levels. Results also showed that water quality index (WQI) was declined from upstream to downstream and some parameters were not in standard ranges. The quality of surface water classified in group II at all stations based on water classification rules which it shows serious water quality changes due to environmental destroyed and domestic, agriculture sewage pollutions. Groundwater were affected by different springs at middle and downstream which they caused change physico-chemical characteristics and water quality. Wastewater was classified from good to moderate based on BOD5. The quality of wastewater was declined at downstream with decreasing DO and pH and increasing BOD5 and pollutants

Prevalence and predictors of low back pain among the Iranian population: Results from the Persian cohort study

Background and objectives: Low back pain (LBP) is a common health condition in populations. Limited large-scale population-based studies evaluated the prevalence and predictors of LBP in developing countries. This study aimed to evaluate the prevalence and factors associated with LBP among the Iranian population. Methods: We used baseline information from the Prospective Epidemiological Research Studies in Iran (PERSIAN), including individuals from 16 provinces of Iran. LBP was defined as the history of back pain interfering with daily activities for more than one week during an individual's lifetime. Various factors hypothesized to affect LBP, such as age, sex, marital status, educational status, ethnicity, living area, employment status, history of smoking, body mass index (BMI), physical activity, sleep duration, wealth score, history of joint pain, and history of morning stiffness in the joints were evaluated. Results: In total, 163770 Iranians with a mean age of 49.37 (SD = 9.15) were included in this study, 44.8% of whom were male. The prevalence of LBP was 25.2% among participants. After adjusting for confounders, the female gender [OR:1.244(1.02-1.50)], middle and older ages [OR:1.23(1.10-1.33) and OR:1.13(1.07-1.42), respectively], being overweight or obese [OR:1.13(1.07-1.19) and OR:1.21(1.16-1.27), respectively], former and current smokers (OR:1.25(1.16-1.36) and OR:1.28(1.17-1.39), respectively], low physical activity [OR:1.07 (1.01-1.14)], and short sleep duration [OR: 1.09(1.02-1.17)] were significantly associated with LBP. Conclusion: In this large-scale study, we found the lifetime prevalence of LBP to be lower among the Iranian population in comparison to the global prevalence of LBP; further studies are warranted to evaluate the causality of risk factors on LBP

Monitoring of fisheries resources in artificial reefs in east of Kish Island waters

Artificial reefs are manmade materials deployed under water in order to improve environment and increase the exploitation of fishing area. Usage of artificial technic has developed due to increase of world population and need to supply of protein, aim to restoring of natural specially rehabilitation of demersal fishes. It has effected to increase the production in order sustainable exploitation. Coasts and Islands have destruction due to over harvesting from ecosystems and other activities by humans and natural, these caused many aquatic as demersal fishes has endangered in Persian Gulf and Oman Sea. The artificial reef is one way or method that can improve the environment and restore the aquatic. Iranian fisheries has established an artificial reefs area in west of Kish Island. This area has studied during one year, Data of assembled fishes and physical sampling were collected in seasonal during spring, summer, autumn and wintered. There were tow treatment for sampling as artificial reefs site and a control site. Collected data has analyzed and evaluated by SPSS and Exel. The results showed that there was significant difference between the sites and assembled fishes in artificial reefs were more than control site. Consequently the artificial reefs can be a tool and technic to improve the marine environment and increase the production of fishes, especially the demersal fishes