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A typical customer relationship management model is designed to increase the value of a company's existing customers in the next period. While useful in the short term, such a process, followed blindly period after period, would drive the company out of business when those existing customers all eventually died. In reality, no company would do this. Instead, these short-term models are nested within a long-term view of customer management, and it is long-term customer management that the proposed model addresses. The model assumes that a company has identified a set of customer types across which it needs balance in order to remain viable in the long-term (e.g., a company might wish to maintain a supply of "entry-level customers" in order to eventually replenish its collection of more profitable "loyal customers"). Though the model is applicable in any industry, we illustrate it for automobiles. Results reveal the strengths with which each marketing intervention causes General Motors to attract each of their desired customer types. The model is extended to also reveal differences in the ways that marketing interventions by Ford, Toyota, and Honda change the strengths with which those automakers attract customers.<br /><br /> The online version contains supplementary material available at 10.1007/s11747-020-00765-9.<br /><br />The online version contains supplementary material available at 10.1007/s11747-020-00765-9.The coronavirus (COVID-19) pandemic has shifted clinical social work (CSW) and mental health education in Australia, and indeed throughout much of the globe, onto online delivery. The disruption caused by COVID-19 presents unexpected challenges in fostering the development of skill sets among social work educators in partnership with students. This article is a reflexive collaborative autoethnography written by four educators of different international and cultural backgrounds at a regional university in Queensland. Our university has experienced a shift from primarily a face-to-face delivery to online delivery due to social distancing. This article is grounded in an ethic of love, a values-based relationship-oriented practice promoting care, collaborative dialogue and solidarity between people, using self-compassion and reflexivity. We explore how COVID-19 has forced the authors to alter their teaching practice, cope with uncertainties, and respond with loving kindness to the shifting needs of students. We draw upon our experiences as educators of diverse cultural, linguistic, gender, and sexualities from Australia, the United States, the United Kingdom, and Nigeria and reflect upon how we have simultaneously turned inward and outward through technology. We draw upon person-centered, narrative, trauma informed and anti-oppressive clinical and educational approaches when exploring self-compassion and loving approaches with the students. We discuss the need for self-compassion and love of others as we respond to the current crisis by modeling self-compassion and love for CSW students who are experiencing crises, including loss of employment, separation from family overseas and interstate, isolation from colleagues and loved ones, and healthcare issues.A potential new drug to treat SARS-CoV-2 infections and chloroquine analogue, 5-((1H-imidazol-1-yl)methyl)quinolin-8-ol (DD1) has been here synthesized and characterized by FT-IR, 1H-NMR, 13C-NMR, ultraviolet-visible, ESI-MS and single-crystal X-ray diffraction. DD1 was optimized in gas phase, aqueous and DMSO solutions using hybrid B3LYP/6-311++G(d,p) method. Comparisons between experimental and theoretical infrared spectra, 1H and 13C NMR chemical shifts and electronic spectrum in DMSO solution evidence good concordances. Higher solvation energy was observed in aqueous solution than in DMSO, showing in aqueous solution a higher value than antiviral brincidofovir and chloroquine. on Bond orders, atomic charges and topological studies suggest that imidazole ring play a very important role in the properties of DD1. NBO and AIM analyses support the intra-molecular O15-H16•••N17 bonds of DD1 in the three media. Low gap value supports the higher reactivity of DD1 than chloroquine justified by the higher electrophilicity and low nucleophilicity. Complete vibrational assignments of DD1 in gas phase and aqueous solution are reported together with the scaled force constants. In addition, better intermolecular interactions were observed by Hirshfeld surface analysis. Finally, the molecular docking mechanism between DD1 ligand and COVID-19/6WCF and COVID-19/6Y84 receptors were studied to explore the binding modes of these compounds at the active sites. Molecular docking results have shown that the DD1 molecule can be considered as a potential agent against COVID-19/6Y84-6WCF receptors.Computation of basic reproductive numbers is one of the primary goals of epidemic modelers. There are several challenges in such computations, especially when the data from the virus transmission networks are not so easy to collect; this makes model validation almost impossible. [https://www.selleckchem.com/products/prostaglandin-e2-cervidil.html selleck inhibitor] We provide a technical comment on the precautions to be taken while computing model-based basic reproductive numbers so that the ground realities of such computation are maintained. Basic reproductive numbers need to be adjusted retrospectively to compensate for reporting errors within the epidemic spread networks. Such an adjustment would lead to revised pandemic preparedness and mitigation plans.Gene therapy is making a comeback. With its twin promise of targeting disease etiology and 'long-term correction', gene-based therapies (defined here as all forms of genome manipulation) are particularly appealing for neurodegenerative diseases, for which conventional pharmacologic approaches have been largely disappointing. The recent success of a viral-vector-based gene therapy in spinal muscular atrophy-promoting survival and motor function with a single intravenous injection-offers a paradigm for such therapeutic intervention and a platform to build on. Although challenges remain, the newfound optimism largely stems from advances in the development of viral vectors that can diffusely deliver genes throughout the CNS, as well as genome-engineering tools that can manipulate disease pathways in ways that were previously impossible. Surely spinal muscular atrophy cannot be the only neurodegenerative disease amenable to gene therapy, and one can imagine a future in which the toolkit of a clinician will include gene-based therapeutics.