Miracle-dz/UniFAR-FTUs huggingface dataset:
Earnings Manipulation and Prior Period Adjustment on Tax Aggressiveness. J. Educ. Manage. Stud., 4(1):01-05.;

The goal of this study was to determine gaps in perceptions and expectations of students in University of Tehran using Service Quality Model (SERVQUAL) in 2012 based on a descriptive-analytical study. Study population consisted of all students in various majors at Tehran University. The participants were selected based on a multistage sampling. In the first stage, participants were chosen from each school according to ratio-stratified sampling, and then subjects were selected randomly in each stratum. Sample size was given as 205 regarding 95% confidence, 0.8 standard deviation and 0.1 accuracy. SERVQUAL standard questionnaire was used for data collection. Data was analyzed via inferential statistical methods including Pearson Correlation coefficient, t-test and Wilcoxon Test using SPSS. The results showed a gap in all five educational service dimensions. The least gap average was seen in the tangibility dimensions (5.81) and the highest gap average was for confidence (9). There was a significant difference between students perceptions and expectations (quality gap) in all five service dimensions (P<0.001). Students’ satisfaction played a significant role in the improved educational service quality, thus it should be attempted to eliminate or mitigate gaps in current and optimal statuses.
High performance liquid chromatography mass spectrometric (LC-MS/MS) method for the estimation of clopidogrel bisulfate in human plasma by liquid-liquid extraction technique

A high performance liquid chromatography mass spectrometric method for the estimation of clopidogrel (CLP), in human plasma in positive ion mode was developed and validated using clopidogrel D3 (CLPD) as internal standard (IS). Sample preparation was accomplished by liquid-liquid extraction technique. The reconstituted samples were chromatographed on Kromasil 100-5C18, 100×4.6 mm, 5μm column using a mobile phase consisting of HPLC grade Acetonitrile: Milli Q/HPLC grade water (90:10, v/v). The method was validated over a concentration range of0.0101 to 5.0315 ng/mL for CLP. This validation report provides the results of selectivity, matrix effect, sensitivity determinations, calibration standards and quality control samples data, precision and accuracy data, the results of recovery, various stabilities, run size evaluation and dilution integrity along with all pertinent supporting documentation.
An Edge based 3D Facial Expressions Detection System

Facial expression identification is a process of generating new facial features from a given face and still retain the facial characteristics of the face. Traditioanl 2D based facial expression evaluation encounter difficulties with large variations in facial features in terms of illumination, pose and expression evaluation. By using 3D model the information of human faces head pose and lighting changes are used to find the large set of expressions. In most of the 3D models,face data are projected on to 2D and finds the expression in the 3D. In this model, a novel method is used to find the 3D expression using edge based model for complex pose datasets. Experimental results show that proposed model has high accuracy compare to traditional 3D expression evaluation models.
FPGA IMPLEMENTATION OF FOUR PHASE CODE DESIGN USING MODIFIED GENETIC ALGORITHM (MGA)

— The proposed architecture consists of an efficient VLSI hardware implementation of the Modified Genetic Algorithm for identifying the good pulse compression sequences based on Discrimination Factor. The main advantage of implementation using Hardware based Genetic Algorithm is its inherent speed over Software based methods. The speed advantage makes the hardware based Modified Genetic Algorithm (MGA) is a prime candidate for real time applications. This architecture provides the flexibility of generating Pulse compression sequences with variable frequencies. Radar signal processing applications require a set of sequences with individually peaky auto correlation and pair wise cross correlation. Obtaining such sequences is a combinatorial problem. If the auto correlation and cross correlation are taken in the aperiodic sense then there are hardly any theoretical aids available. Thus the problem of signal design referred to above are challenging problem for which many global optimization algorithms like genetic algorithm, simulated annealing, tunneling algorithm were reported in the literature. Higher performance systems using custom silicon cost too much for the typically small production volumes, and are not flexible enough for research applications. Field programmable gate arrays offer the performance of custom silicon while maintaining the economies and flexibility of the microprocessor based solutions. Recent FPGA devices possess the density and performance to realize Pulse compression sequences in a single FPGA. The Proposed VLSI architecture is implemented on the FPGA as it provides the flexibility of re-configurability and re-programmability. The Proposed architecture is a novel and efficient architecture as it generates the Pulse compression sequences at the clock rate of FPGA.
CONSEQUENCES OF RELATIONSHIP MARKETING ON CUSTOMER LOYALTY

The objective of present study is to investigate the consequences of relationship marketing on customer loyalty. The study also investigates the moderating role of customer expertise between relationship marketing and customer loyalty. The data used in the present study was collected by using a self – administered questionnaire. Data were collected from telecom industry of Pakistan; more specifically data source is the telecom users in Multan. Sample size is 500 and these questionnaires were distributed to collect data among top universities located in Multan. Out of 400 received questionnaires 330 were selected for analysis. SPSS (version 20.0) was used for analysis and statistical tools like ANOVA, correlation analysis and multiple regressions were used. The result of the present study show that there exists a direct relation between relationship marketing and customer loyalty as well as customer expertise moderates the relationship.
A Metaheuristic Algorithm with Hybrid Insertion Procedure for the Traveling Salesman Problem

Finding the optimal solution to combinatorial optimization problems can be difficult, even when a partial structure (solution) of the optimal solution may be found easily. How to expand the partial solution into a full solution and how to insert other elements are important considerations for the construction of initial solutions. We propose a new procedure for constructing initial solutions of combinatorial optimization problems. This procedure employs hybrid insertion, which combines standard insertion with other heuristics. The proposed algorithm is applied to the traveling salesman problem (TSP), an NP-hard combinatorial optimization problem, to demonstrate the efficiency of the proposed algorithm. The accuracy of the obtained solutions is evaluated against the solutions of benchmark problems. On most problems, the proposed algorithm found shorter tours than other construction algorithms did.
The Future of the Field of Earthquake Forecasting, New Data Assimilation and Fusion Strategy, towards Timely Earthquake Prediction and Warning

In 2016, Ecuador and Italy both experienced deadly earthquakes, with death tolls of over 800 people even with a commonly used earthquake prediction system in place. The seismometer system, which is the current system used in earthquake prediction, provided no help or warning of the devastating earthquakes that occurred. This method only looks at patterns of previous earthquakes to give the probability of an aftershock once the first earthquake occurs. The problem with this system is that it does not offer adequate notice to provide people time to evacuate the area before the initial devastation. There is a dire need for a dependable system that predicts earthquakes and gives people enough time to escape the disaster. Current research shows promising evidence of physical changes in the earth that happen perhaps even days before an earthquake occurs. This amount of notice could give people time to evacuate, and save countless lives. With the assimilation and fusion of electron measurements due to pressure build up in rocks, changes in water chemistry, pre-seismic tremors, magnetic field changes, and changes in air chemistry, the field of earthquake prediction comes closer to a more accurate way of making pre-earthquake disaster predictions with enough notice to possibly save hundreds of thousands of lives.
Effect of Antibiotic and Prebiotic On Immunity and Reproductivity of Broiler Breeder Flock

This study was carried out to explore effects of antibiotics (Tylosin, Colestin) and prebiotic (enzymes) on immune status and reproduction of commercial Ross broilers breeder flock of 6000 females and 700 males to use viral vaccines (ND,AI, IB, IBD and CIA) as well as MG and MS infection by ELISAtest. Results revealed that mean ELISA titers against MS was 685±120.7, 1200.4±322.7, 924.6±99.9, 1373±168.5 and 925.7 ±133.4 at 6, 27 ,35, 44 and 61 weeks, respectively; while CV% still is below 30%. Mean ELISA titer against MG was 2891.8±146.64, 608.5±208.5, 2961±1319.5, 3199.2±1331.2 at 6th, 27th, 35th and 44th week, respectively. While CV% was 5.1 at 6th week and increased gradually to be 48.4 %. The fluctuation in MS and MS ELISA titers might indicate active infection and/or low challenge frequency that was suppressed by the use of drugs. ELISA for viral vaccines including ND was 7594±4810, 18906±3562, 17543±5478 and 16232±2718 at 6th, 15th, 35th and 61st week, respectively. CV% was higher with 63.3 at 6th week (week) and after that was good and excellent. ELISA titer for AI was 6214.6±1571.3 at 6th week and gradually increased to 14805.8 ±2260.7 at 35th week with CV% less than 30%. Titers against IBD virus was 3716±1188 at 6th week, increased to 9476±4578 by 35th weeks, then decreased to 3232 ±1780 at 61st weeks. ELISA titer against IB virus started with 3642 ±1048 and increased to 11192 ±3458 at 53rd week. CIA titers started with 1188±410, 7848±1923 and 6056±1385 at 6th, 27th and 53rd week. Interpretation of the recorded ELISA titers with CV% indicating uneven immunity at 6th week followed by varied increase from good to excellent. This indicates good uniform flock immune by repeated vaccination, medication and good management; while the decreased titers in last weeks were due to normal decaying of antibody. Cumulative mortality rate in the flock was 2.5 % lower than farm stander. Regarding flock productivity as compared with flock stander resulted in high egg production percent in the first 10 weeks. Decreased egg production and hatched eggs at the last weeks (16, 64) can be attributed to big sized eggs. An increase was seen in both average fertility with 1.35% and average hatchability 0.66% as well as cumulative produced chicks/ hen by 5 chicks/hen than farm stander. Conclusion: Based on serological mortality and reproduction results, this study pointed out that the applied vaccination program and preventive medication (Tylosin, Colestin and enzyme prebiotic) in ration or water to broiler breeders resulted in a higher immunity and reproductive performance.
Correlation analysis of user power consumption behavior based on improved Apriori algorithm

: With the increasing number of smart meters, The client generates a large data and there are the potential information of users'electricity consumption behavior behind these data. By mining the similarities of different users' electricity consumption behaviors, the paper finds out the relationship between various factors and different electricity consumption behavior patterns, which can be used to customize and analyze service applications for power companies, users and governments. In the process of association analysis, an improved algorithm based on prefix itemsets and vertical Boolean matrix is proposed. By using the frequent itemsets storage method of prefix itemsets, the efficiency of the algorithm in the join step and pruning step is greatly improved. At the same time, the vertical Boolean matrix is used to store the transaction database and the "and"operation is used to calculate the support degree, which further optimizes the efficiency, reduces the occupied memory space and improves the efficiency of the algorithm. Compared with other algorithms, the effectiveness and feasibility of the proposed method are verified.
Int. J. Biosci

This study was conducted as split plot factorial based on randomized complete block design in 3 replicates and 18 treatments were carried out during 2011-2012 at Agronomy and Plant Breeding Department, College of Agriculture and Natural Resources, Razi University, Kermanshah, Iran. In this experiment the main plots consisted of a factorial combination of manure (0, 10 and 20 tons.ha-1) and sulfur (0, 250 and 500 kg.ha-1) and subplots includes Thiobacillus bacteria (no use and use), respectively. The result of the experiment revealed that application of manure at various levels with recommended dose of Thiobacillus bacteria enhanced the growth and yield attributes in garlic over control. Analysis of soil nutrients using animal manure in organic carbon showed significant difference for traits including available nitrogen, phosphorus, potassium, manganese and zinc. In the all of parameters mentioned in 20 tons of manure treatment and treatments of sulfur, phosphorus, potassium, manganese, iron and zinc in soil pH caused significant difference that in all aforementioned traits other than manganese treatment 500 kg of sulfur has the amount of highest. However, we find out that the presence of Thiobacillusbacteria reduced soil pH and rate of iron absorbed is increased. The interaction between bacteria and sulfur, zinc and pH effects on the triple interaction was significant difference at the five percent level. * Corresponding Author:Hassan Sabagh  h3n.sabagh@gmail.com International Journal of Biosciences | IJB | ISSN: 2220-6655 (Print) 2222-5234 (Online) http://www.innspub. net Vol. 5, No. 4, p. 186-193, 2014
A REVIEW ON HERBAL PLANTS AS IMMUNOMODULATORS

Herbal immunomodulator is substance which stimulates or suppresses the components of immune system including both innate and adaptive immune responses. The modulation of immune system by various medicinal plant products has become subject for scientific investigations currently worldwide. A number of Indian medicinal plants and various „Rasayana‟ have been claimed to possess immunomodulatory activity. Some of these plants are, Allium sativum, Morus alba, Acacia catechu, Tinospora cordifolia, and Mangifera indica. A lot more are still to be explored and offer scope for further investigation. INTRODUCTION: Modulation of immune functions using medicinal plants and their products as a possible therapeutic measure has become an accepted therapeutic approach. Plants and minerals have been used since ancient times for the treatment of many ailments and diseases. It is now being recognized that immunomodulation of immune response could provide an alternative to conventional chemotherapy for a variety of disease conditions, especially when the host's defense mechanism has to be activated under conditions of impaired immune responsiveness or when a selective immunosuppressant has to be induced in situation like autoimmune disorders and organ transplantation. Immunity is a homeostatic process, a series of delicately balanced complex, multicellular and physiologic mechanisms that allow an individual to distinguish foreign material from “self” and neutralize and/or eliminate the foreign matter. 1
Study of Vapour Phase Corrosion Inhibitors for Mild Steel under different Atmospheric Conditions

Mild steel is used as main raw material in fabrication of equipment, chief material of construction and as weapons. During the storage and transportation conditions, it comes in contact with aggressive environment which leads to decrease in mechanical strength. Four different vapor phase corrosion inhibitors (VPCIs) i.e. n-Caprylic acid (CA), nButyric acid (BA), N,N-dimethyl propylene urea (DMPU) and 2-Amino Benzothiazole (ABT) were tested under different atmospheric conditions at 40 C by Weight Loss, Eschke test, Salt Spray and SEM techniques. All the four VPCIs show very high corrosion inhibition efficiency i.e. 79-99 %. The results obtained from corrosion experiments were supported by SEM images.
Routing Performance Analysis in Delay Tolerant Vehicular Ad-Hoc Network

: Vehicular Ad-hoc Networks (VNET) are special types of mobile ad-hoc networks (MANET), which are very continuously network, in which nodes are divisive due to mobility. Delay tolerant network (DTN) follows the approach to store and forward the message. Delay tolerant networks (DTNs) are networks that do not require immediate data delivery and these network data can wait for a specific time period before transferring. High mobility of VANET nodes and introduces many challenges due to rapid topology changes in VANAT. After considering the major challenges involved in DNT-enabled VNET, various types of routing protocols are presented by design and researchers. This letter provides a survey of VNET, DTN and routing protocols for DNTN enabled VNET.
The Pseudarthrosis Oh Fe Humerus: Surgical Treatment, Functional Results and Perspectives

Objectives: Evaluate the results of the surgical treatment of aseptic pseudarthrosis of the humerus by comparing it with the data of literature. Study Design: Descriptive retrospective. Methods: This was a study involving 16 patients treated between January 2009 and July 2016 for aseptic pseudarthrosis after diaphyseal fracture of the humerus. The inclusion criterion was the existence of an aseptic diaphyseal pseudarthrosis of the humerus surgically treated, associated or not with a bone graft. Septic pseudarthrosis was excluded, patients who didn’t follow-up. Data were collected on standardized questionnaires. Epi-Info version 6 FR was used for data entry and data analysis. Results: Our study included 10 men and 6 women, an average age of 45.75 ± 15.63 years; the average time for consultation was 12.06 months with extremes of 6 to 39 months. The initial fracture was closed in 87.5% of our patients with 1 case of fracture on pathological bone and 2 cases of radial paralysis during initial trauma. 87.7% of our patients benefited during the treatment of pseudarthrosis of an osteosynthesis using Dynamic Compression Plate with 3 minimum screws on both sides of the fracture site and 12.6% of a centromedullary nailing with proximal locking. 93.7% of our patients progressed towards consolidation in an average time of 4.5 months with an average follow-up of 12 months. Complications were characterized by atrophy of the arm muscles in 12.6% of cases and 25% progressed to an iterative pseudarthrosis and received a second treatment of pseudarthrosis with bone substitute graft in 2 patients and corticocancellous in patients 2 others. Finally, our functional results according to the SOO score with an average followup of 5 months, were very good in 43.8%, good in 12.5%, average in 25% and poor in 18.8% of patient. Conclusions: Pseudarthrosis of the humerus remains one of the most difficult complications of fractures of the humerus due to its frequency, the difficulties of its management and its socio-economic impact. The goal being 100% consolidation, delayed consolidation or pseudarthrosis is often due the surgeon.
Nature Propelled Mutation Testing Techniques: PeSO and ABC

: - Mutation Testing is utilized as fault based testing to overcome constraints of other testing approaches yet it is recognized as costly process. In mutation testing, a good test case is one that kills one or more mutants, by delivering different mutant yield from the original program. In order to select or generate a good test case an optimization algorithm needs to be selected that can demonstrate its suitability for generating an optimal test cases as well as lessening the cost of data generation in various testing approaches. Three methodologies, specifically, computational calculations, mathematical development, and nature-metaheuristic techniques, can be utilized to tackle this issue effectively and locate a close optimal arrangement. Utilizing nature-propelled metaheuristic calculations can produce more proficient results than other methodologies. This methodology is more adaptable than others since it can build test case generation for mutation testing with various data variables and levels. Strategies that have been utilized for ideal test case generation from the cases incorporate simulated annealing (SA), genetic algorithm (GA), ant colony algorithm (ACA), and particle swarm optimization (PSO), but we found two strategies: artificial bee colony (ABC) algorithm and Penguins Search Optimization (PeSO) algorithm to be most appealing.
Mining Mobile Sequential Pattern in a Location Aware Environment

— Recent development in mobile communication techniques and GPS enabled cellular phones have introduced a new business model. This emerges to a new way of service called as Location-Based Service (LBS) which use information about user’s location to select the information they provide. There is a rapid growth in the use of mobile phones and location based services Technology. Mining user behaviour in mobile environments is an important task in data mining. Existing impact focus on mobile patterns from logs and their impact can’t deliver the predictions since there is a constant change in the mobile behaviour . This paper provides an outline about the basic usage of LBS. Mobile user behaviour pattern is one of the critical issue. The existing system is refined with the concept of Genetic Algorithm for mining. Here the concepts of mining and prediction of mobile behaviours with user relations and characteristics are deliberately understood using Segmentation, mutation and crossover process of GA. The prediction strategy uses mobile patterns to predict the mobile user behaviour.
An Image Search Reranking Model based on attribute assisted hypergraph

- An image search reranking is definitely a superior approach over the text based image search. This approach include visual features for reranking. The semantic approach is proposed in this paper. Attributes of images are classified into the groups. Based on those attributes from classifiers, each image is represented. The ranking score is used to evaluate the relevance of he image with the query image. Hypergraph models these images based on the ranking scores. Content based image retrieval (CBIR) technique is used in combination with Hypergraph. CBIR focuses on the content of the images such as color, texture, shape or any other information related with the images.
Comparing Two Replenishment Policy for Solving Economic Lot and Delivery Scheduling Problems in a Three-echelon Supply Chain

In this paper, we investigate the economic lot and delivery scheduling problem (ELDSP) for a three-stage supply chain. This problem is a combined lot sizing and sequencing problem. The supply chain includes multiple suppliers, multiple fabricators and only a single assembler. All of the parameters, such as demand rate, are deterministic and production setup times are sequence-independent. The common cycle time and integer multipliers policies are adapted as a replenishment policy for synchronization throughout the supply chain. Since the problem is NP-hard, we propose a hybrid metaheuristic algorithm (HGTSA) which combines a genetic algorithm with tabu search to find the solution in large-scale problems. The results of computational experiments demonstrate the efficiency of the proposed algorithm.