0923 - 0645 , Volume 21 , Number 3
نویسندگان
چکیده
A key challenge facing business marketers surrounds developing a deeper understanding of customer needs. We conceptualize that challenge as having three dimensions: calculating, creating, and claiming value. We discuss key problems, new developments and research challenges in each of these three domains and note the desirability for a deeper collaboration between academics and practitioners to address the research challenges.
منابع مشابه
Modeling of CSF dynamics: legacy of Professor Anthony Marmarou.
The mathematical model of cerebrospinal fluid (CSF) pressure volume compensation, introduced by Anthony Marmarou in 1973 and modified in later studies, provides a theoretical basis for differential diagnosis in hydrocephalus. The Servo-Controlled Constant Pressure Test (Umea, Sweden) and Computerised Infusion Test (Cambridge, UK) are based on this model and are designed to compensate for inadeq...
متن کاملHigh Glucose Represses β-Klotho Expression and Impairs Fibroblast Growth Factor 21 Action in Mouse Pancreatic Islets
Circulating fibroblast growth factor 21 (FGF21) levels are elevated in diabetic subjects and correlate directly with abnormal glucose metabolism, while pharmacologically administered FGF21 can ameliorate hyperglycemia. The pancreatic islet is an FGF21 target, yet the actions of FGF21 in the islet under normal and diabetic conditions are not fully understood. This study investigated the effects ...
متن کاملTrihexyphenidyl interactions with the dopamine D1-selective receptor agonist SKF-82958 and the D2-selective receptor agonist N-0923 in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced hemiparkinsonian monkeys.
The effects of the antiparkinsonian agent trihexyphenidyl, a selective M1 muscarinic cholinergic receptor antagonist, were studied in doses of 100, 320 and 1000 micrograms/kg i.m. alone. Trihexyphenidyl was then studied in combination with the selective dopamine receptor D1 agonist SKF-82958 [(+/-)-6-chloro-7-8-dihydroxy-3-allyl-1-phenyl-2,3,4,5-tetrahydro- 1H-benzazepine hydrobromide] and the ...
متن کاملMotion-compensated prediction based algorithm for medical image sequence compression
A method for irreversible compression of medical image sequences is described. The method relies on discrete cosine transform and motion-compensated prediction to reduce intraand inter-frame redundancies in medical image sequences. Simulation examples are presented.
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تاریخ انتشار 2010