Analyzing the mediating role of Brand association for Brand awareness and loyalty

Brands are of top priority and interest for many companies and marketing Professionals. Marketing managers are continuously realizing the power of the brands. In today’s competitive environment measuring the exact association of brands is most desirable goal for the organizations. The aim of research is to test empirically the mediating role of brand association for brand awareness and brand loyalty of customers and non-customers. In order to investigate the mediating role of the brand association for customers and non-customers, primary data were collected through a survey from both customers and non-customers of a mobile phone. Findings of the study confirm the mediating role of the brand association for awareness and loyalty for both customers and non-customers. Statistical Results show that Brand associations mediating role does not differ for customers and non-customers, across the product categories whereas the level of the association influents the level of the loyalty for a product

Optimisation in the Logistics and Management of Supply Chains in Production by Textile Enterprises

This article is devoted to questions regarding the analysis of the implementation of logistics and supply chain management conditions in textile production. Based on delivery optimisation, the authors offer a model of multimodal transportation of textile products produced in Uzbekistan. The importance of optimising the supply chain of the logistics business processes in order to decrease costs is demonstrated in this article. A mathematical model of optimisation for placement textile enterprises to stimulate the reduction of supply chain costs is recommended. However, this research would be beneficial for the textile and fashion industries. The approach might be further extended to other similar industries

Serum Level of Desert Hedgehog Protein in Autism Spectrum Disorder: Preliminary Results

Objective: To investigate the role of desert hedgehog (Dhh) in a neurodevelopmental disorder known as autism. Subjects and Methods This study was conducted at the Autism Research and Treatment Center, King Khalid University Hospital, Riyadh, Kingdom of Saudi Arabia from October 2011 to May 2012. The serum levels of the Dhh protein in 57 patients recently diagnosed with autism and 37 age-matched healthy children were measured using ELISA. The Childhood Autism Rating Scale (CARS) was used for the assessment of autistic severity. Results: The mean serum level of Dhh in patients with autism (1.38 ± 0.50 ng/ml) was significantly lower (p = 0.0003) than that of normal controls (1.73 ± 0.37 ng/ml). There was no significant relationship between the serum level of Dhh and the CARS score (p = 0.28), age (p = 0.51) or gender (p = 0.76). Conclusions: The Dhh serum level of patients with autism was lower than that of controls, probably indicating that the serum level of Dhh might be implicated in the physiology of autism. However, this finding should be treated with caution until further investigations are performed with larger populations

Quantifying the Q-Factor and Minimizing BER in 32-Channel DWDM System Design Using EDFA and RAMAN Amplifiers

ABSTRACT In this work we have designed, modeled and simulated a 32-channel DWDM (Dense Wavelength Division Multiplexing) system using OptiSystem photonic simulator. The system is tested for external transmitter with NRZ (Non-Return Zero) encoder using Mech-Zehnder modulator, which accepts input from CW (Continuous Wave) laser array and low pass Bessel filter that supports PIN photodiode at receiver end. System performance for optical channels has been compared by varying channel length of EDFA (Erbium Doped Fiber Amplifier) and Raman amplifiers to identify its impact in the sense of eye diagram, QF (Quality Factor) and minimum BER (Bit Error Rate). Experimental setup was done by varying channel lengths of 60, 100, 120, 150 and 170Kms. It was found that EDFA has better performance in the sub-low ranges of 60Kms, whereas Raman offers better performance at wider channel lengths i.e. more than 100Kms. The proposed work can be extend for the avoidance of amplifier utilization at wider ranged

Optimization and efficiency analysis of deep learning based brain tumor detection

Brain tumors are spreading very fast across the world. It is one of the aggressive diseases which eventually lead to death if not being detected timely and appropriately. The difficult task for neurologists and radiologists is detecting brain tumor at early stages. However, manually detecting brain tumor from magnetic resonance imaging images is challenging, and susceptible to errors as experienced physician is required for this. To resolve both the concerns, an automated brain tumor detection system is developed for early diagnosis of the disease. In this paper, the diagnosis via MRI images are being done along with classification in terms of its type. The proposed system can specifically classify four brain tumor condition classification like meningioma tumor, pituitary tumor, glioma tumor and no tumor. The convolutional neural network method is used for classification and diagnosis of tumors which has accuracy of about 93.60%. This study is done on a KAGGLE dataset which comprises of 3274 Brain MRI scans. This model can be applied for real time brain tumor detection

THE COMPARATIVE DEPOSITIONAL HETEROGENEITY OF MANCHHAR FORMATION (SIWALIK GROUP), SOUTHERN INDUS BASIN, PAKISTAN

Present study is carried out for detailed description, distribution and interpretation of lithofacies and textural analysis of Manchhar Formation from Gaj River, Manchhar Lake and Lal Bagh Sections of Southern Indus Basin Pakistan. Four different clastic lithofacies are identified during present study, which are conglomeratic sandstone (Gt), shale (Fm), fine to coarse grain flat bedded sandstone (Sh) and fine to coarse grain trough cross-bedded sandstone (St). These Facies suggest that Manchhar Formation is deposited in the Beach to shallow agitated water and fluvial system. Twenty-nine (29) unconsolidated loose and friable sandstone samples were selected for textural analysis. Grain-size parameters such as mean, median, standard deviation, Skewness and Kurtosis were used for transport history, mode and hydrodynamic energy condition to recognize the depositional environment. Stewart Diagram shows deltaic/wave water process takes active role under the influence of wave process. Linear discriminant functions analysis show that the fluvial environment of deposition dominates and influences shallows water and beach environment. Passega diagram reveals that transport mode was rolling and suspension by the tractive current that shows the fluvio-deltaic to deltaic wave with the influence of wave depositional environment of Miocene-Pliocene (Neogene) Manchhar Formation

Students' Class Performance Prediction Using Machine Learning Classifiers

Nowadays, educational data mining is being employed as assessing tool for study and analysis of hidden patterns in academic databases which can be used to predict student's academic performance. This paper implements various machine learning classification techniques on students' academic records for results predication. For this purpose, data of MS(CS) students were collected from a public university of Pakistan through their assignments, quizzes, and sessional marks. The WEKA data mining tool has been used for performing all experiments namely, data pre-processing, classification, and visualization. For performance measure, classifier models were trained with 3- and 10-fold cross validation methods to evaluate classifiers' accuracy. The results show that bagging classifier combined with support vector machines outperform other classifiers in terms of accuracy, precision, recall, and F-measure score. The obtained outcomes confirm that our research provides significant contribution in prediction of students' academic performance which can ultimately be used to assists faculty members to focus low grades students in improving their academic records

Impact of physical exercise on behavioral and social features in individuals with autism spectrum disorder

Background and Study Aim. Physical exercise is linked with several physical and psychological health advantages. A range of investigations has revealed the presence of a significant association between physical exercise and indicative improvements in subjects with Autism Spectrum Disorder (ASD). This systematic review aims to update the literature about the impact of physical exercise interventions on social, behavioral, and other outcomes for individuals with ASD. Materials and Methods. The study design followed the PRISMA guidelines. A systematic search of electronic databases—PubMed, Google Scholar, Science Direct, and Jane Publications—was performed from 2010 to December 2023. We searched for related research papers in English using keywords 'Autism Spectrum Disorder,' 'exercise,' and 'physical activity. Results. This systematic review employed a four-stage screening process, which resulted in the inclusion of 18 trial studies. The intervention period varied from three to forty-eight weeks, with a frequency of 3-7 times per week. The results demonstrated that physical exercise had a substantial positive impact on communication, social interaction, and motor skills in subjects with Autism Spectrum Disorder (ASD). Conclusions. This review supports physical exercise as a powerful tool in decreasing stereotypical behaviors, and in improving social communication and motor skills in subjects diagnosed with ASD. Regular physical exercise therapy can have a greater effect on improving the quality of life for ASD subjects

Scheduling and flow control in CMT-SCTP

abstractComputer ScienceDoctoralDoctor of Philosoph

Sythneses and Structures of Some Novel Chronium 11, Vanadium 11 and Vanadium 111 Compleses.

Many new compounds of chromium(II), vanadium(II), and vanadium(III) have been prepared under anaerobic conditions and investigated by spectroscopic, magnetic susceptibility, and X-ray powder and single crystal techniques. New tetrahalogenochromates(II) containing mixed halides of the type [o-CH3C6H4NH3]2[CrClxBr4-x(B) ] (where x = 4, 3, 2, B = CH3CO2H; x = 4, 1, 0, B = C2H5CO2H; x = 4, B = C4H8O) [NH4 ]2 [ CrClxBr4-x] nCH3CO2H (where x = 3, n = 1; x = 0, n = 0. 5), [(CH3)2NH2]2[CrCl2Br2]CH3CO2H, [C6H5(CH2)2NH2(CH3)]2[CrCl4], [C6H5NH3]2[CrClxBr4-x] (x=2, 0. 5), [C6H5CH2NH3]2[CrxBr4-x] (x= 3. 3, 2. 2, 1, 0) and the trihalogenochromate(II) [C6H5NH3] [CrCl3] have been characterised. The o-methylanilinium salts are all magnetically-normal, high-spin chromium(ll) compounds. The ammonium, dimethylammonium, N-methylphenethylammonium and anilinium salts are antiferromagnetic, whereas all benzylammonium salts exhibit typical ferromagnetic behaviour. Reflectance spectra are as expected for tetragonally distorted octahedral chromium(II) compounds. Thus, from the magnetic and spectral results halide-bridged polymeric structures have been assigned except to the o-methylanilinium salts which probably contain square-pyramidal anions. Single crystal X-ray investigations show that [C6H5NH3][CrCl3] consists of linear chains of face-sharing distorted [CrCl6] octahedra, and in [C6H3CH2NH3]2[CrBr4] each square planar [CrBr4]2- unit is bridged by bromide ions to four like units to form layers. A series of halide adducts of tetrakis(acetato)dichromium(II) of the type [A]4[Cr2(CH3CO2)4X2]X2 (where A = NH4, C6H5NH3, C6H5CH2NH3, X = Cl or Br; A = 0. 5C4H12N2, C6H5(CH2)2NH2(CH3), X = Cl; A =C5H5NH, X = Br) and [A] 2[Cr2(CH3CO2)4Cl2] (A = C(NH2)3, C5H5NH) has been prepared. All are almost diamagnetic and retain the acetato-bridged dinuclear structure. The di-tertiary phosphine complexes [CrX2(dmpe)2] X = Br or I; dmpe = bis(1,2-dimethylphosphino)ethane, [CrX2(depe)2]X = Cl, Br or I; depe = bis(1,2-diethylphosphino)ethane, are low spin except trans-[Crl2 (depe) 2], which is unusual in that it is high spin at room temperature, but undergoes a sharp transition to the low spin form at ca. 170K. It is the first example of spin-crossover in a chromium(ll) complex. The known complexes of acetonitrile [CrX2(MeCN)2] (X = Cl or Br) have halide-bridged linear polymeric structures instead of the distorted tetrahedral structure reported earlier. Both are weakly antiferromagnetic. Chromium(ll) complexes with triphenylphosphine oxide of the type [CrX2(Ph3PO)2] (X = Cl, Br or I), [CrX2(Ph3PO)2(THF)2] (X = Br or I) have been re-prepared. The complex [CrBr2(Ph3PO)2] is trans planar and not tetrahedral as proposed earlier and it is isomorphous with [CrCl2(Ph3PO)2], but not with [Crl2(Ph3PO)2]. Some crystals obtained during the preparation of the iodo-complex were found by X-ray investigation to consist of trigonal bipyramidal [Crl2(Ph3PO)3]. Novel series of complex halides of vanadium(ll) [A]2[VCI4(CH3CO2H)2] and vanadium(III), [A]4[VCl6]Cl and [A]2[VCI5(B)] (where A is an organic cation and B is CH3CO2H or C2H5CO2H) have been found to be magnetically normal, octahedral complexes. The structure has been confirmed by an X-ray investigation of [MeNH3]4[VCl6]Cl. Some new vanadium(II) complexes with aromatic diamines of the type V(L)4X2, X = Cl or Br; L= o-phenylenediamine or 4-methyl-o-phenylenediamine have been characterised