3.2 Franchise Partnership Relations 3.2.1 Communication and Trust with Franchisees Whilst much international business communication may be characterised as “internal” such as within a co[r]

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In this study, the analytical sensitivity of 13 malaria RDTs classified amongst the **best** performing products accord- ing to the results of the WHO–FIND product testing programme is reported [8]. A number of factors directly influence the performance of RDTs, including the anti- body characteristics and stability, the antibody immobi- lization technique, the nitrocellulose type and treatment. The values reported here are expressed in target analyte concentration and not parasite density to provide a direct measurement of the limit of detection of current **best** RDTs. While blood stage malaria infections are normally characterized by a parasitaemia expressed typically in percentage of parasitized red blood cells or in parasites detected per µL of blood, this value is less appropriate for RDTs since these are not detecting parasites them- selves but amounts of target analyte produced by these parasites.

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Second, we can state that factor loading on R m − R f , SMB and HML are generally signiﬁ cant. The factor loading on HML suggest that **best**-in-**class** portfolios were somewhat growth-stock oriented during the period examined, whereas worst-in-**class** portfolios were signiﬁ cantly tilted toward value stocks. The results of factor loading on HML also suggest that **best**-in-**class** portfolios were signiﬁ cantly tilted toward relatively proﬁ table companies. In other words, socially responsible companies are more likely those who have experienced a long term ﬁ nancial success. This result would conﬁ rm those of Orlitzky and Benjamin (2001) who suggested that social-ﬁ nancial relation seems to be bi-directional. There are also small but statistically insigniﬁ cant differences between the coefﬁ cients of SMB, in favour of worst-in-**class** portfolios, which could suggest again a slight orientation of **best**-in-**class** portfolios towards large companies’ stocks relative to worst-in-**class** portfolios. We also note the relatively weak or negative coefﬁ cient on the momentum factor for equally-weighted portfolios. They suggest that recent ﬁ nancial performance does not have a signiﬁ cant impact on the relation between CSP and CFP, which seems counterintuitive. Prior related studies revealed evidence of a positive relation between prior ﬁ nancial performance and subsequent social performance

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Efficiency of Mastrovito multiplication greatly depends on the irreducible polynomial available for the field. Most efficient polynomials were listed with their limitations. Different variations of using Mastrovito was demonstrated in detail with their examples. For the degrees of m where the most efficient irreducible functions do not exist, (Such as Trinomial, AOP and ESP), the next **best** in **class** where considered to be the Pentanomials.

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comparison to getting responses from personnel of **best** in **class** companies specifically if they are competitors. That said, there will be personnel from competitors and/or **best** in **class** companies who will be willing to participate in the survey to know the results as well as for the improvement of QMS audit program across the oil and gas industry. The other option is to outsource the survey and competitive research to an independent third party who conducts research for benchmarking and research purposes [9].

Our motivation for this work is to consider a more advanced **class** of functions that can provide **best** approximation by a trigonometric polynomial of degree not more than r. Therefore, in this work, we generalize the results of Kushwaha and Dhakal [3] and Dhakal [1, 2]. In fact, we obtain the results on the error estimation for the function f ∈ H z (w) (z ≥ 1)

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Best approximation, Fourier series, ( E, 1) means, matrix summability means and (∆ .E1 )- summability means, generalized Minkowski’s inequality, generalized Zygmund class.. 2013 Universi[r]

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The aim of a Content-Based Image Retrieval (CBIR) system, also known as Query by Image Content (QBIC), is to help users to retrieve relevant images based on their contents. CBIR technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape of the object inside an image. Several feature-extraction techniques viz., Average RGB, Color Moments, Co- occurrence, Local Color Histogram, Global Color Histogram and Geometric Moment have been critically compared in this paper. However, individually these techniques result in poor performance. So, combinations of these techniques have also been evaluated and results for the most efficient combination of techniques have been presented and optimized for each **class** of image query. We also propose an improvement in image retrieval performance by introducing the idea of Query modification through image cropping. It enables the user to identify a region of interest and modify the initial query to refine and personalize the image retrieval results.

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The fatigue limit stress range of 120 MPa for the best class of weld is a good deal less than the limiting range of 440 MPa for the parent steel (Fig.5).. And the worst class of weld h[r]

In this paper, a detailed analysis of various categorical data clustering techniques and its advantages and disadvantages were conducted wherein the drawbacks of each technique was considered. Although, a large number of algorithms have been introduced for clustering categorical data, there is no single clustering algorithm that performs **best** for all data sets and can discover all types of cluster shapes and structures presented in data. Each algorithm has its own strengths and weaknesses. For a particular data set, different algorithms, or even the same algorithm with different parameters, usually provide distinct solutions. Therefore, it is difficult for users to decide which algorithm would be the proper alternative for a given set of data.

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Throughout my career a reoccurring theme of my teaching evaluations has been that of classroom management. Students‟ have even requested that I „be meaner‟ in order to motivate and manage the **class**. This is a reflection of the general student groups that pass through our programmes. They are mostly new school leavers who often struggle to adjust to the adult learning environment. When teaching practical skills on a hairdressing course where students are required to be self-directed, this presents quite a challenge.

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mapping is self-mapping, then a **best** proximity point reduces to a ﬁxed point. The goal of **best** proximity point theory is to furnish suﬃcient conditions that assure the existence of such points. For more details on this approach, we refer the reader to [–] and the references therein.

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The theory of **best** coapproximation in normed linear spaces was developed as a coun- terpart to the theory of **best** approximation. It was initially introduced by Franchetti and Furi in 1972, [2], in order to study some characteristic properties of real Hilbert spaces. Many researches have been done since then, see [9-12]. Let X be a Banach space and G a bounded subset of X. For an element x ∈ X, the element y 0 ∈ G is called a **best**

One use of wavelets for localization of short-time events comes from Ravier [52]. Continuous Maivar wavelets [44] are used in a simulated environment for detecting quiet submarines with low SNR signatures. In this context, the signature is acoustic, coming from propelier sounds. Maivar wavelets are continuous oscillatory functions in a bathtub-like envelope, and can be used for detecting pure tones. Despite their name, they are related more to windowed Fourier analysis than wavelets. The classification problem reduces to a two **class** system: noise / transient, with consequent iocalization of short-time events. The method seeks to identify any ordered feature in a background of white noise by examining probability density functions. However, it does not work well in real noise which is coioured rather than white. Coloured noise has a non-uniform frequency distribution; some frequencies being more dominant than others. For example, red noise has a greater low frequency component; blue noise has a greater high frequency component.

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The authors believe that the classroom approach to teaching students how to interpret the Codification is better than the research-case approach for several reasons. First, the classroom approach is likely to be no more time-consuming than the use of cases, and could quite possibly be less time-consuming. To begin with, the time required to find textbook-supplied Codification references, read the relevant Codification material, identify the key issues in the material, revise topic-specific lectures, and (if so desired) construct Codification-related exam questions is probably the same as the time required to select a case topic, find or prepare background material, identify the research questions, determine the number of points to assign to the case, and provide students with an example of a “good” solution to a similar case. The classroom approach, however, eliminates the need to answer students’ questions about the case requirements, which results in better utilization of instructors’ in-**class** and out-of-**class** time. Furthermore, even if Codification-related questions are included on exams, grading such questions is easier and less time-consuming than grading cases.

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Physicochemical characterization and extraction of polyphenolic compounds of the fruits of Grewia coriacea Mast are crucial steps for the promotion of the bioactive principles of this plant. Antioxidant activity of the fruit of Grewia coriacea Mast can be explained by its significant proportions of phenolic compounds, flavonoids, condensed tannins, and anthocyanins . It was shown in the current study that extraction yields depend both on particle size **class** and employed solvent. Extraction solvent must be carefully chosen to preserve the plant biological activities. Besides, it appeared that the powder of size **class** inferior to 315 µm allowed maximising levels of total polyphenols and condensed tannins when acetone or methanol were used as extraction solvents. The 315 - 500 µm size **class** was preferable for the extraction of flavonoids. The total anthocyanin content, approximately equal to 60 mg / g DM for the different samples confirmed that Grewia coriacea Mast can be regarded as a Central African dye plant. Grewia coriacea Mast, owing to its significant polyphenols content that contribute to its antioxidant potential power, may also find its application in traditional medicine for the treatment of oxidative stress-related diseases.

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These (logarithmically) complete monotonicity mentioned above can be applied to acquire the **best** bounds in Gautschi-Kershaw’s inequalities (1) and (2). For more detailed information, please refer to [4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 16, 17, 19, 24, 25] and the references therein.

Abstract. In the article, the sufficient and necessary conditions such that a **class** of functions which involve the psi function ψ and the ratio Γ(x+s) Γ(x+t) are logarithmically completely monotonic are established, the **best** bounds for the ratio Γ(x+s) Γ(x+t) are given, and some comparisons with known results are carried out, where s and t are two real numbers and x > − min{s, t}.

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Fixed point theory have an important role in many branches of mathematics such as differential and integral equations, optimization and variational analysis. This theory mainly concerns with the fixed point equation T x = x, where T : A → B is some nonlinear operator. The solution of this equation is called a fixed point of the operator T. It is not necessary that the equation has a solution for every nonlinear operator T . For example this one has no solution when A ∩ B = ∅. In this case we may find a point x ∈ A which is closest to T x, that is, the distance between T x and x is least as compare to other elements of A. Such a point is called the **best** proximity point of T . The notion of **best** proximity point was initiated by Fan [1] for normed spaces. Eldred and Veeramani [2] generalized this notion in the context of metric spaces. In literature there are many important **best** proximity point theorems in different settings: Jleli et al. and Ali et al. [3, 4], for α-ψ-proximal mappings; Akbar and Gabeleh [5, 6], Derafshpour et al. [7], Di Bari et al. [8], Rezapour et al. [9], Vetro [10], for cyclic mappings; Alghamdi et al. [11] for mappings in geodesic metric spaces; Al-Thagafi and Shahzad [12], for Kakutani multimaps; Markin and Shahzad [13], for relatively u-continuous mappings; Nashine et al. [14], for rational proximal contractions; Akbar and Gabeleh [15], for multivalued non-self mappings; Choudhury et al. [16] for **best** proximity point and coupled **best** proximity point in partially ordered metric spaces; Shatanawi and Pitea [17], for **best** proximity points and **best** proximity coupled points in complete metric spaces with (P)-property; Jamali and Vaespour [18], for **best** proximity point for nonlinear contractions in Menger probabilistic metric spaces; Bejenaru and Pitea [19], for fixed point and **best** proximity point theorems in partial metric spaces.

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