On Complexity for Higher Derivative Gravities

Using "complexity=action" proposal we study complexity growth of certain gravitational theories containing higher derivative terms. These include critical gravity in diverse dimensions. One observes that the complexity growth for neutral black holes saturates the proposed bound when the results are written in terms of physical quantities of the model. We will also study effects of shock wave to the complexity growth where we find that the presence of massive spin-2 mode slows down the rate of growth.Comment: 18 pages, 3 figures, journal versio

Complexity Growth with Lifshitz Scaling and Hyperscaling Violation

Using complexity=action proposal we study the growth rate of holographic complexity for Lifshitz and hyperscaling violating geometries. We will consider both one and two sided black branes in an Einstein-Maxwell-Dilaton gravitational theory. We find that in either case Lloyd's bound is violated and the rate of growth of complexity saturates to a value which is greater than twice the mass of the corresponding black brane. This value reduces to the mass of the black brane in the isotropic case. We show that in two sided black brane the saturation happens from above while for one sided black brane it happens from below.Comment: 17 pages, 4 figures, v2: typos corrected, references added, v3: Minor corrections, New counter terms added that also contribute to the rate of complexity growth. The conclusion is not changed, now 19 pages, v4: matches published versio

Nano Graphene Oxide as Solid Phase Extraction Adsorbent Coupled with Dispersive Liquid-Liquid Microextraction to Determine Ultra-Trace Quantities of Propranolol from Urine Samples

In this research, a new nano graphene oxide based solid phase extraction followed by Dispersive Liquid-Liquid Microextraction was applied as simple, rapid and sensitive determination of trace amounts of Propranolol(PRO) in urine samples with HPLC-UVD. Several factors influencing the extraction of PRO, such as pH, adsorbent amounts, extraction time, organic solvent type and the composition of solvent and desorption conditions were studied and optimized. Under optimum condition, the limit of detection (LOD) and limit of quantification (LOQ) of the proposed method were 2ng/mL?1 and 6.6ng/mL, respectively. Good linear behaviour over the investigated concentration ranges (2-2000ng/mL-1) and good correlation coefficient of 0.9901(r2) were obtained. The relative standard deviations (RSDs) based on three determinations at 2, 20, 200ng/mL-1 levels of PRO was less than 9.7%. The findings of the present study may provide clinical and diagnostic laboratories. &nbsp

Trends. Warranted Dogmatism against the Closed Mind: Preliminary Look at the Intelligence Agency\u27s (CIA) Groat Case

In this article, the author analyzes the arrest of former CIA employee, Douglas F. Groat

OER Recommendations to Support Career Development

This Work in Progress Research paper departs from the recent, turbulent changes in global societies, forcing many citizens to re-skill themselves to (re)gain employment. Learners therefore need to be equipped with skills to be autonomous and strategic about their own skill development. Subsequently, high-quality, on-line, personalized educational content and services are also essential to serve this high demand for learning content. Open Educational Resources (OERs) have high potential to contribute to the mitigation of these problems, as they are available in a wide range of learning and occupational contexts globally. However, their applicability has been limited, due to low metadata quality and complex quality control. These issues resulted in a lack of personalised OER functions, like recommendation and search. Therefore, we suggest a novel, personalised OER recommendation method to match skill development targets with open learning content. This is done by: 1) using an OER quality prediction model based on metadata, OER properties, and content; 2) supporting learners to set individual skill targets based on actual labour market information, and 3) building a personalized OER recommender to help learners to master their skill targets. Accordingly, we built a prototype focusing on Data Science related jobs, and evaluated this prototype with 23 data scientists in different expertise levels. Pilot participants used our prototype for at least 30 minutes and commented on each of the recommended OERs. As a result, more than 400 recommendations were generated and 80.9% of the recommendations were reported as useful.Comment: This paper has been accepted to be published in the proceedings of IEEE Frontiers In Education (FIE) 2020 by IEEE Xplor

A novel sorting method topsis-sort: an applicaiton for tehran environmental quality evaluation

Many real-life problems are multi-objective by nature that requires evaluation of more than one criterion, therefore MCDM has become an important issue. In recent years, many MCDM methods have been developed; the existing approaches have been improved and extended. Multi criteria decision analysis has been regarded as a suitable set of methods to perform sustainability evaluations. Among numerous MCDM methods developed to solve real-life decision problems, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily in diverse application areas. In this paper, a novel sorting method (TOPSIS-Sort) based on the classic TOPSIS method is presented. In the TOPSIS-Sort approach an outranking relation is used for sorting purposes. The proposed approach uses characteristic profiles for defining the classes and outranking relation as the preference model. Application of the proposed approach is demonstrated by classifying 22 districts of Tehran into five classes (but none of the districts fits into Classes 4 and 5), representing areas with different levels of environmental quality. An analysis and assessment of the environmental conditions in Tehran helps to identify the districts with the poor environmental quality. Priority should be given to these areas to maintain and improve the quality of environment. The results obtained by the TOPSIS-Sort give credence to its success, because the results of sorting con firm our and specialists’ evaluation of the districts. This research provides appropriate results with respect to the development of sorting models in the form of outranking relations. The model, proposed by this study, is applicable to the other outranking methods such as ELECTRE, PROMETHEE, etc

Učinci konkurentnih trenažnih protokola na snagu, aerobni kapacitet, fleksibilnost i sastav tijela

In this study we evaluated the effect of concurrent resistance and endurance training on body composition, aerobic power and muscular endurance in college students and compared the two concurrent exercise protocols. Forty-two male students (22.02±1.91 years of age) were divided into three groups: Concurrent Distinct Endurance-Resistance (CDER), Concurrent Parallel Endurance-Resistance (CPER) and No Training controls (C). The subjects performed two training protocols per week for 12 weeks. In CDER group, resistance training and endurance training were performed on different days each week (two and two days per week). CPER group performed endurance and resistance training on the same days each week (two days per week). After a 12-week training period, fat-free mass, muscular strength [weight lifted in squat and bench press (kg)], muscular endurance [pull-ups and sit-ups (numbers)], aerobic power, flexibility and Sargent jump height increased similarly in both experimental groups (CDER and CPER). Also, decreases in body fat percentage, mean time in 60 m running and agility occurred in CDER and CPER. A significant difference in body fat percentage was seen in CPER when compared to CDER and C. Body mass increased significantly in CPER when compared to CDER and C. Although body mass increased only after the CPER protocol application, it can be concluded that both CDER and CPER protocols were similarly effective in positive transformation of body composition, aerobic power and muscular endurance.U ovom su istraživanju vrednovani učinci konkurentnoga treninga s opterećenjem i treninga izdržljivosti na sastav tijela, aerobnu izdržljivost i mišićnu izdržljivost studenata i ta su dva konkurentna protokola vježbanja uspoređena. Uzorak ispitanika činila su 42 studenta (22,02±1,91 godina) koji su podijeljeni u tri grupe: CDER – konkurentni programi su se primjenjivali odvojeno, CPER – konkurentni program su se primjenjivali usporedo i kontrolna grupa (C). Eksperimentalni programi vježbanja su se provodili tijekom 12 tjedana. U CDER grupi je trening izdržljivosti i trening s opterećenjem organiziran u različitim danima u tjednu (4 dana u tjednu). CPER grupa je provodila trening izdržljivosti i trening s opterećenjem istoga dana u tjednu (2x tjedno). Nakon 12 tjedana treninga u obje eksperimentalne grupe (CDER i CPER) zabilježeno je jednako povećanje u bezmasnoj masi tijela, u maksimalnoj snazi (mjereno čučnjem i potiskom s ravne klupe), repetitivnoj snazi (mjereno zgibovima i pretklonima trupa iz ležanja), aerobnom kapacitetu, fleksibilnosti i visini skoka u Sargentovom testu. Također, u obje eksperimentalne grupe zabilježeno je i smanjenje postotka tjelesne masti, te poboljšanje rezultata u sprintu na 60 metara te u testu agilnosti. Značajna razlika u postotku tjelesne masti zabilježena je između CPER grupe te CDER i C grupe. Značajno povećanje mase tijela zabilježeno je u CPER grupi u odnosu na grupe CDER i C. Iako je zabilježeno povećanje tjelesne mase samo nakon primjene CPER protokola, može se zaključiti kako su oba protokola primjene konkurentnoga treninga podjednako učinkovita u smislu pozitivne transformacije sastava tijela, aerobnoga kapaciteta i mišićne izdržljivosti

Seismic velocity deviation log: An effective method for evaluating spatial distribution of reservoir pore types

Velocity deviation log (VDL) is a synthetic log used to determine pore types in reservoir rocks based on a combination of the sonic log with neutron-density logs. The current study proposes a two step approach to create a map of porosity and pore types by integrating the results of petrographic studies, well logs and seismic data. In the first step, velocity deviation log was created from the combination of the sonic log with the neutron-density log. The results allowed identifying negative, zero and positive deviations based on the created synthetic velocity log. Negative velocity deviations (below − 500 m/s) indicate connected or interconnected pores and fractures, while positive deviations (above + 500 m/s) are related to isolated pores. Zero deviations in the range of [− 500 m/s, + 500 m/s] are in good agreement with intercrystalline and microporosities. The results of petrographic studies were used to validate the main pore type derived from velocity deviation log. In the next step, velocity deviation log was estimated from seismic data by using a probabilistic neural network model. For this purpose, the inverted acoustic impedance along with the amplitude based seismic attributes were formulated to VDL. The methodology is illustrated by performing a case study from the Hendijan oilfield, northwestern Persian Gulf. The results of this study show that integration of petrographic, well logs and seismic attributes is an instrumental way for understanding the spatial distribution of main reservoir pore types