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Optimum utilization of investments has always been considered one of the most crucial aspects of capital markets. Investment into various securities is the subject of portfolio optimization intent to maximize return at minimum risk. In this series, a population-based evolutionary approach, stochastic fractal search (SFS), is derived from the natural growth phenomenon. This study aims to develop portfolio selection model using SFS approach to construct an efficient portfolio by optimizing the Sharpe ratio with risk budgeting constraints.

This paper proposes a constrained portfolio optimization model using the SFS approach with risk-budgeting constraints. SFS is an evolutionary method inspired by the natural growth process which has been modeled using the fractal theory. Experimental analysis has been conducted to determine the effectiveness of the proposed model by making comparisons with state-of-the-art from domain such as genetic algorithm, particle swarm optimization, simulated annealing and differential evolution. The real datasets of the Indian stock exchanges and datasets of global stock exchanges such as Nikkei 225, DAX 100, FTSE 100, Hang Seng31 and S&P 100 have been taken in the study.

The study confirms the better performance of the SFS model among its peers. Also, statistical analysis has been done using SPSS 20 to confirm the hypothesis developed in the experimental analysis.

In the recent past, researchers have already proposed a significant number of models to solve portfolio selection problems using the meta-heuristic approach. However, this is the first attempt to apply the SFS optimization approach to the problem.

This study aims to explore commonalities and differences between Islamic social finance (ISF) and sustainable development goals (SDGs).

The study has adopted a qualitative library-based research method, and the secondary data is collected through the available literature on the topic.

This study concludes that the majority of SDGs are compatible with ISF. Moreover, it finds that the global ISF possesses adequate financial resources to assist Muslim majority nations in achieving some of the most critical and urgent SDGs on time.

The scope of this study is confined to examining the possible role of ISF in achieving many of the most pressing development goals aligned with the SDGs. To maintain coherence within the study’s focus, this paper makes no comparisons between the ISF and other types of endowments/charities.

This paper outlines an agenda for the ISF-led development strategy and makes some crucial recommendations on how the global ISF might potentially lead the charge of Islamic charities in achieving the SDGs in Muslim majority nations.

This paper adds original value to the available literature on the potential of ISF and SDGs in the arena of development. The paper analyses the role of ISF in achieving the SDGs.

Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater to users’ applications. The task scheduling needs to be done optimally to achieve proficient results in a cloud computing environment. While satisfying the user’s requirements in a cloud environment, scheduling has been proven an NP-hard problem. Therefore, it leaves scope to develop new allocation models for the problem. The aim of the study is to develop load balancing method to maximize the resource utilization in cloud environment.

In this paper, the parallelized task allocation with load balancing (PTAL) hybrid heuristic is proposed for jobs coming from various users. These jobs are allocated on the resources one by one in a parallelized manner as they arrive in the cloud system. The novel algorithm works in three phases: parallelization, task allocation and task reallocation. The proposed model is designed for efficient task allocation, reallocation of resources and adequate load balancing to achieve better quality of service (QoS) results.

The acquired empirical results show that PTAL performs better than other scheduling strategies under various cases for different QoS parameters under study.

The outcome has been examined for the real data set to evaluate it with different state-of-the-art heuristics having comparable objective parameters.

Load balancing is an important issue for a heterogeneous distributed computing system environment that has been proven to be a nondeterministic polynomial time hard problem. This paper aims to propose a resource-aware load balancing (REAL) model for a batch of independent tasks with a centralized load balancer to make the solution appropriate for a practical heterogeneous distributed environment having a migration cost with the objective of maximizing the level of load balancing considering bandwidth requirements for migration of the tasks.

To achieve the effective schedule, load balancing issues should be addressed and tackled through efficient workload distribution. In this approach, the migration has been carried out in two phases, namely, initial migration and best-fit migration. Using the best-fit policy in migrations helps in the possible performance improvement by minimizing the remaining idle slots on underloaded nodes that remain unentertained during the initial migration.

The experimental results reveal that the proposed model exhibits a superior performance among the other strategies on considered parameters such as makespan, average utilization and level of load balancing under study for a heterogeneous distributed environment.

Design of the REAL model and a comparative performance evaluation with LBSM and ITSLB have been conducted by using MATLAB 8.5.0.

Taurine (2-aminoethane sulfonic acid; C2H7NO3S) is a nonprotein sulfur-containing β-amino acid present in nearly all mammalian tissues and the most ubiquitous free endogenous biomolecule in human cells. Taurine is commonly known as a conditionally essential amino acid because taurine is one of the few amino acids that are not incorporated in protein synthesis. The purpose of this study is to review the existing articles related to taurine and to give an account how useful is taurine to the different body systems. In this thorough overview, taurine is covered in terms of its essentiality, sources, advantages for neonates and the elderly, the effects of taurine deficiency, and the safety and toxicity of taurine supplements.

This is a narrative review into the subject matter. Published articles were searched on different portals like PubMed, EMBASE, Scopus, Google Scholar, PubChem etc. The authors also evaluated the availability of taurine in commercially available energy drinks.

This comprehensive review, presents the potential clinical benefits and functional properties of taurine as a conditionally essential amino acid. Energy drinks containing taurine (and their concentration) are also reported in this review.

This is the first data that the authors are aware of that shows taurine content in a variety of energy drinks on the market.

Bacterial vaginosis (BV) is quite common and linked with serious public health issues such as premature delivery and spread of sexually transmitted infections. The study aims to identify different genital mycoplasmas (GM) in high vaginal swabs (HVS) from adult females in Bahrain.

In total, 401 HVS were collected and cultured on MYCOFAST^® RevolutioN 2 test for identification and antibiotic susceptibility. Polymerase chain reaction (PCR) was performed for detection of Mycoplasma genitalium (Mg), Mycoplasma hominis (Mh) and Ureaplasma species. DNA-probe based detection for Gardnerella, Candida and Trichomonas was performed by BD Affirm Assay. Representative PCR amplicons were sequenced by Sanger sequencing.

In PCR, Ureaplasma sp. was the most common GM, followed by Mg and Mh; the prevalence being 21.2, 5.2 and 1.5%, respectively. On the contrary, 10.7% samples showed positivity for Ureaplasma urealyticum (Uu) and 1.7% for Mh in MYCOFAST^® RevolutioN 2. The concordance rates between MYCOFAST^® RevolutioN 2 and PCR for Mh and Ureaplasma sp. were 97.7 and 84%, respectively. Considering PCR as gold standard, sensitivity, specificity, positive predictive value, and negative predictive value of MYCOFAST^® RevolutioN 2 were 33.3, 98.8, 28.6, 98.9 and 37.7, 96.5, 74.4, 85.2% for Mh and Ureaplasma sp., respectively. The Uu and Mh isolates showed antibiotic-resistance ranging from 53%–58% and 71%–86%, respectively.

The prevalence of Ureaplasma sp. was high. Significant co-occurrence of GM was noticed with BV. MYCOFAST^® RevolutioN 2 had lower detection-rate than PCR, so a combination is suggested for wider diagnostic coverage.

The research reflects on status of prevalence of GM in adult females in Bahrain, and their co-occurrence with bacterial vaginosis. Diagnostic approach with combination of tests is suggested for wider coverage. The research has epidemiologic, diagnostic, and therapeutic implications.

This is the first report from the Kingdom of Bahrain reflecting on burden of GM from this geographic location. The diagnostic efficacy of MYCOFAST^® RevolutionN 2 test and polymerase chain reaction was evaluated for GM detection.

This paper examines the technical efficiency (TE) of Indian commercial banks during 1998–2015.

This study uses mathematical programming-based data envelopment analysis (DEA) methodology to measure technical efficiency of Indian banks. Further, Simar and Wilson (2007) double bootstrap procedure is applied to examine the determinants of efficiency of the Indian banks, by examining the effects of various bank specific and other contextual variables.

The results indicate substantial upward bias in the conventional efficiency estimates of the Indian commercial banks. Needless to note, such upward bias is consistent with the theoretical postulates. The bootstrapped regression results show that increasing capital adequacy ratio is positively associated with bank efficiency. The popular belief that non-performing assets have a dampening effect on performance of banks is validated. Among others, ownership category is observed to be an important determining factor of bank efficiency. Specifically, state-owned banks (SOBs) are relatively lagging behind the foreign banks. Moreover, larger banks are observed to have a significantly higher level of efficiency, therefore, recent official policy initiatives toward consolidation of SOBs are validated.

As this study uses Simar and Wilson (2007) bootstrap approach, it enables the authors to have an estimate of the extent of bias in the traditional DEA TE scores. It also helps us drawing consistent inferences by rectifying the problem of serial correlation in the conventional second stage regression in this regard.

The proposed IT2FMOVMI model intends to concurrently minimize total cost and warehouse space for the single vendor-retailer, multi-item and a consolidated vendor store. Regarding demand and order quantities with the deterministic and type-1 fuzzy numbers, we have also formulated the classic/crisp MOVMI model and type-1 fuzzy MOVMI (T1FMOVMI) model. The suggested solution technique can solve both crisp MOVMI and T1FMOVMI problems. By finding the optimal ordered quantities and backorder levels, the Pareto-fronts are constructed to form the solution sets for the three models.

A multi-objective vendor managed inventory (MOVMI) is the most recognized marketing and delivery technique for the service provider and the retail in the supply chain in Industry 4.0. Due to the evolving market conditions, the characteristics of the individual product, the delivery period and the manufacturing costs, the demand rate and order quantity of the MOVMI device are highly unpredictable. In such a scenario, a MOVMI system with a deterministic demand rate and order quantity cannot be designed to estimate the highly unforeseen cost of the problem. This paper introduces a novel interval type-2 fuzzy multi-objective vendor managed inventory (IT2FMOVMI) system, which uses interval type-2 fuzzy numbers (IT2FNs) to represent demand rate and order quantities. As the model is an NP-hard, the well-known meta-heuristic algorithm named NSGA-II (Non-dominated sorted genetic algorithm-II) with EKM (Enhanced Karnink-Mendel) algorithm based solution method has been established.

The experimental simulations for the five test problems that demonstrated distinct conditions are considered from the real-datasets of SAPCO company. Experimental study concludes that T1FMOVMI and crisp MOVMI schemes are outclassed by IT2FMOVMI model, offering more accurate Pareto-Fronts and efficiency measurement values.

Using fuzzy sets theory, a significant amount of work has been already done in past decades from various points of views to model the MOVMI. However, this is the very first attempt to introduce type-2 fuzzy modelling for the problem to address the realistic implementation of the imprecise parameters.

This study explores whether metacognitive strategy training can influence the lexical knowledge of L2 learners of the present study, and what they think about the use of metacognitive strategies in language learning classes. To do so, a 50-item multiple-choice vocabulary test, developed by the researchers based upon Nation’s (1990) levels of language proficiency, was employed to measure the learners’ vocabulary knowledge progress during the period of instruction. The instruction received by the experimental group was based on the Cognitive Academic Language Learning Approach (CALLA) Model, developed and validated by Chamot and O’Malley (1994). The findings revealed that the experimental group outperformed the control group in their endeavors for comprehending and producing vocabulary. This may be attributed to the fact that after this intervention, participants have developed their metacognitive awareness and their thinking skills. The study concludes with pedagogical implications and highlights avenues for future research.

ﺗ مّ د ﻣ ﺞ ا ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺎ ت ﻣ ﺎ و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﯾ ﺔ (MS) ، ا ﻟ ﺗ ﻲ ﺗ ﻌ ﺗ ﺑ ر ا ﻟ ﻔ ﺋ ﺔ ا ﻟ ﻔ ر ﻋ ﯾ ﺔ ا ﻟ ر ﺋ ﯾ ﺳ ﯾ ﺔ ﻻ ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺎ ت ﺗ ﻌ ﻠّ م ا ﻟ ﻠّ ﻐ ﺔ ﻓ ﻲ ﻣ ﻧ ﺎ ھ ﺞ ﺗ ﻌ ﻠّ م ا ﻟ ﻠّ ﻐ ﺔ ا ﻷ ﺟ ﻧ ﺑ ﯾ ﺔ ﻟ ﺗ ﺳ ﮭ ﯾ ل ا ﻟ ﺗ ﻔ ﻛ ﯾ ر ا ﻟ ﻌ ﺎ ﻟ ﻲ و ا ﻟ ﺗ ﺧ ط ﯾ ط ا ﻟ ذ ا ﺗ ﻲ و ا ﻟ ﺗ ﻌ ﻠّ م ا ﻟ ﻣ ﺳ ﺗ ﻘِّل و ا ﻟ ﺗ ﻌ ﻠ م ا ﻷ ﻓ ﺿ ل ﻓ ﻲ ﻧ ﮭ ﺎ ﯾ ﺔ ا ﻟ ﻣ ط ﺎ ف . و ﻓ ﻘًﺎ ﻟ ذ ﻟ ك ، ﺗ ﻌ دّ ھ ذ ه ا ﻟ دّر ا ﺳ ﺔ ﻣ ﺣ ﺎ و ﻟ ﺔً ﻟ ﻺ ﺟ ﺎ ﺑ ﺔ ﻋ ﻣ ﺎ إ ذ ا ﻛ ﺎ ن ا ﻟ ﺗ د ر ﯾ ب ﻋ ﻠ ﻰ ا ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺔ ﻣ ﺎ و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﻲ ﯾ ﻣ ﻛ ن أ ن ﯾ ؤ ﺛّ ر ﻋ ﻠ ﻰ ا ﻟ ﻣ ﻌ ر ﻓ ﺔ ا ﻟ ﻣُﻌ ﺟ ﻣ ﯾ ﺔ ﻟ ﻠ ﻣ ﺗ ﻌ ﻠ ﻣ ﯾ ن و ﻣ ﺎ ذ ا ﯾ ﻔ ﻛّر ﻓ ﯾ ﮫ ا ﻟ ﻣ ﺗ ﻌ ﻠّ ﻣ و ن ﺣ ول ﺗ د ر ﯾ س ا ﺳ ﺗ ر ا ﺗ ﯾ ﺟ ﯾ ﺎ ت ﻣ ﺎ و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﯾ ﺔ . و ﻟ ﻠ ﻘ ﯾ ﺎ م ﺑ ذ ﻟ ك ، ﺗ مّ ا ﺳ ﺗ ﺧ د ا م ا ﺧ ﺗ ﺑ ﺎ ر ﻣ ﻛ و ن ﻣ ن 50 ﻋ ﻧ ﺻ ر اً ﻣ ﺗ ﻌ د د ا ﻻ ﺧ ﺗ ﯾ ﺎ ر ا ت ا ﻟّ ذ ي ﺗ مّ ﺗ ط و ﯾ ر ه ﺑ و ا ﺳ ط ﺔ ا ﻟ ﺑ ﺎ ﺣ ﺛ ﯾ ن ا ﺳ ﺗ ﻧ ﺎ دًا إ ﻟ ﻰ ﻣ ﺳ ﺗ و ﯾ ﺎ ت ا ﻟ ﻛ ﻔ ﺎ ء ة ا ﻟ ﻠ ﻐ و ﯾ ﺔ ﻟ د ى ا ﻟ ﺷ ﻌ ب (Nation) (1990 م ( ، ﻟ ﻘ ﯾ ﺎ س ﺗ ط وّ ر ﻣ ﻌ ر ﻓ ﺔ ا ﻟ ﻣ ﻔ ر د ا ت أ ﺛ ﻧ ﺎ ء ﻓ ﺗ ر ة اﻟ ﺗد ر ﯾ س . ا ﺳ ﺗ ﻧ د ت ا ﻟ ﺗ ﻌ ﻠ ﯾ ﻣ ﺎ ت ا ﻟ ﺗ ﻲ ﺗ ﻠ ﻘّﺗ ﮭ ﺎ ا ﻟ ﻣ ﺟ ﻣ و ﻋ ﺔ ا ﻟ ﺗ ﺟ ر ﯾ ﺑ ﯾ ﺔ إ ﻟ ﻰ ﻧ ﻣ و ذ ج ﻣ ﻧ ﮭ ﺞ ا ﻟ ﺗ ﻌ ﻠ م ا ﻟ ﻣ ﻌ ر ﻓ ﻲ ا ﻷ ﻛ ﺎ د ﯾ ﻣ ﻲ ) CALLA ( ا ﻟ ذّي أ ﻋ دّه و و ا ﻓ ق ﻋﻠ ﯾ ﮫ ﺷﺎ ﻣو ت وأ وﻣﺎﻟ ﻲ ) 1994 ( . ﻛ ﺷ ﻔ ت ا ﻟ ﻧ ﺗ ﺎ ﺋ ﺞ أ نّ ا ﻟ ﻣ ﺟ ﻣ و ﻋ ﺔ ا ﻟ ﺗ ﺟ ر ﯾ ﺑ ﯾ ﺔ ﺗ ﻔ و ﻗ ت ﻋ ﻠ ﻰ ا ﻟ ﻣ ﺟ ﻣ و ﻋ ﺔ ا ﻟ ﺗ ﺣ ﻛ ﻣ ﯾ ﺔ ﺑ ﺎ ﻟ ﻧّﺳ ﺑ ﺔ ﻟ ﻔ ﮭ م و إ ﻧ ﺗ ﺎ ج ا ﻟ ﻣ ﻔ ر د ا ت . ﻣن اﻟ ﻣﻣﮑن أ ن ﯾﻌود ذ ﻟ ك إ ﻟ ﻰ ﺣ ﻘ ﯾ ﻘ ﺔ أ نّ ا ﻟ ﻣ ﺗ ﻌ ﻠ ﻣ ﯾ ن ﺑ ﻌ د ھ ذ ا ا ﻟ ﻌ ﻼ ج ﯾ ﻣ ﻛ ﻧ ﮭ م ا ﻟ ﺗ ﻔ ﻛ ﯾ ر أ ﻛ ﺛ ر و ر ا ء ا ﻟ ﻣ ﻌ ر ﻓ ﯾ ﺔ و ﺗ ط و ﯾ ر ﺗ ﻘ دّم ﺗ ﻔ ﻛ ﯾ ر ھ م . ﺗ ﺧ ﺗ ﺗ م ا ﻟ دّر ا ﺳ ﺔ ﺑ ذ ﮐ ر ﺑ ﻌ ض ا ﻵ ﻓ ﺎ ق ا ﻟ ﺗ ر ﺑ و ﯾّﺔ و ﺗ ﺳ ﻠ ﯾ ط ا ﻟ ﺿّو ء ﻋ ﻠ ﻰ ﺑ ﻌ ض ا ﻟ ﺳّﺑ ل ﻟ ﻠ ﺑ ﺣ ث ﻓ ﻲ ا ﻟ ﻣ ﺳ ﺗ ﻘ ﺑ ل .

The primary purpose of the study is to examine the role of market power in driving innovation and productivity of intangible intensive firms of eight emerging economies of the Association of Southeast Asian Nations (ASEAN-8).

There is hardly any study on emerging economies that explored the causal chain of R&D–innovation–productivity, considering the role of market power in a structural model. Taking advantage of the availability of firm-level data and following the extended version of the Crépon, Duguet and Mairesse (CDM) model, we intend to fill the gap. The CDM model first explores the link between R&D and innovation, then the latter's impact on productivity. Besides, it captures sectoral heterogeneity and the differing roles of technological and institutional innovation on productivity.

The manufacturing firms that held a higher markup had a more significant contribution to driving innovation than services one. While institutional innovation affected productivity positively, technological innovation had the opposite impact. Nevertheless, firms' higher degree of monopoly, in general, worsened productivity outcomes. The estimated results are robust to a range of alterations.

The study offers implications for the competition policy of ASEAN.

The sample of this study accounts for almost half of the world's best-performing emerging economies. Thus, the findings are likely to contribute to the thin literature on market power's role in driving innovation and productivity in the intangible economy of emerging markets.