A framework of place branding, place image, and place reputation: antecedents and moderators

Purpose – This paper develops a framework that links the concepts of place branding, place image, and place reputation. Focusing on the antecedents and outcomes of place branding in the context of an emerging country, namely Iran, the model further examines critical moderation variables. Design/methodology/approach – A qualitative approach was undertaken, comprising face-to-face in-depth interviews with fifteen respondents, involved in communicating about their country for various purposes such as encouraging tourism, promoting exports, and attracting investments. Based on analysis of the qualitative data, a comprehensive framework for place branding was formulated. Findings – Findings indicate that the key indicators of identifying a place brand come under two headings, namely national culture (country’s name, country’s brand, country attributes, social changes, geography and environment, people, culture (history, language, etc.), and infrastructure (security, economic condition, technological advancement, tourism development goals, place marketing and promotional strategy), which influences on the favorability of place branding. In addition, five main moderators of the outcomes of place branding were identified, namely, political perception, social media and news, place awareness, place association, and tourism experience. Practical implications – Effective place branding could help a country attract tourists, visitors, traders, and investors. Place branding should be considered a constructive tool that can be successfully applied to managing a country’s image. Originality/value – Place branding has received little attention in the context of emerging markets. This is the first known study undertaken with a view to understand and develop a place branding model that links with place image and place reputation in an emerging country. The study identifies twelve antecedents of place branding and five important moderators. Findings will help policy makers, country brand managers, and communication professionals more generally who deal with a country’s image and reputation and those involved in improving the tourism industry in Iran

Model and Sensor-Based Recommendation Approaches for In-Season Nitrogen Management in Corn

Nitrogen management for corn (Zea mays L.) may be improved by applying a portion of N in-season. This investigation was conducted to evaluate crop modeling (Maize-N) and active crop canopy sensing approaches for recommending in-season N fertilizer rates. These approaches were evaluated during 2012–2013 on 11 field sites, in Missouri, Nebraska, and North Dakota. Nitrogen management also included a no-N treatment (check) and a non-limiting N reference (all at planting). Nitrogen management treatments were assessed for two hybrids and at low and high seeding rates, arranged in a randomized complete block design. In 9 of 11 site-years, the sensor-based approach recommended lower in-season N rates than the model (collectively 59% less N), resulting in trends of higher partial factor productivity of nitrogen (PFPN) and higher agronomic efficiency (AE) than the model. However, yield was better protected by the model-based approach. In some situations, canopy sensing excelled at optimizing the N rate for localized conditions. With abnormally warm and moist soil conditions for the 2012 Nebraska sites and presumed high levels of inorganic N from mineralization, N application was appropriately reduced, resulting in no yield decrease and N savings compared to the non-limiting N reference. Depending on the site, both recommendation approaches were successful; a combination of model and sensor information may optimize in-season decision support for N recommendation

Di- and Tri-nuclear VIII^{III} and CrIII^{III} Complexes of Dipyridyltriazoles: Ligand Rearrangements, Mixed Valency and Ferromagnetic Coupling

The first dinuclear and trinuclear chromium(III) and dinuclear vanadium(III) complexes of N$^{4}$-R-substituted-3,5-di(2-pyridyl)-1,2,4-triazole (Rdpt) ligands have been prepared by solvothermal complexations under inert atmospheres, and characterized. The reactions of Cr$^{III}$ and V$^{III}$ with adpt (R = amino) resulted in deamination of the ligand and yielded the dinuclear doubly-triazolate bridged complexes [V$_{2}^{III}$(dpt$^{-}$)$_{2}$Cl$_{4}$] (1) and [Cr$_{2}^{III}$(dpt$^{-}$)$_{2}$Cl$_{4}$] (2). In the case of the Cr$^{III}$ complex 2 this bridging results in a rare example of ferromagnetic coupling for a dinuclear Cr$^{III}$ compound. DFT studies confirm that in 2 the ferromagnetic coupling pathways dominate over the antiferromagnetic pathways, whereas in 1 the reverse occurs, consistent with the observed overall antiferromagnetic coupling in that case. It was also found that the use of different additives in the reaction allows the nuclearity of the Cr$^{III}$ product to be manipulated, giving either the dinuclear system, or the first example of a trinuclear circular helicate for a Rdpt complex, [Cr$_{3}^{III}$(dpt)$_{3}$Cl$_{6}$]·1¾MeCN·¼DCM (3). Reaction of N$^{4}$-pydpt (R = 4-pyridyl) with V$^{III}$ led to an unusual shift of the pyridyl substituent from N$^{4}$ to N$^{1}$ of the triazole, forming the ligand isomer N$^{1}$-pydpt, and giving a dinuclear doubly-triazole bridged complex, [V$_{2}^{III}$(N$^{1}$-pydpt)$_{2}$Cl$_{6}$]·2MeCN (4). Reaction with Cr$^{III}$ results in loss of the 4-pyridyl ring and a mixture of the di- and trinuclear complexes, 2 and 3. Interestingly, partial oxidation of the V$^{III}$ in dinuclear complex 4 to vanadyl V$^{IV}$=O was identified by crystallographic analysis of partially oxidized single crystals, [(V$^{IV}$O)$_{0.84}$(V$^{III}$)$_{1.16}$(N$^{1}$-pydpt)$_{2}$Cl$_{5.16}$] 0.84H$_{2}$O 1.16MeCN (5)

CEST MRI provides amide/amine surrogate biomarkers for treatment-naïve glioma sub-typing

PURPOSE: Accurate glioma classification affects patient management and is challenging on non- or low-enhancing gliomas. This study investigated the clinical value of different chemical exchange saturation transfer (CEST) metrics for glioma classification and assessed the diagnostic effect of the presence of abundant fluid in glioma subpopulations. METHODS: Forty-five treatment-naïve glioma patients with known isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status received CEST MRI (B1rms = 2μT, Tsat = 3.5 s) at 3 T. Magnetization transfer ratio asymmetry and CEST metrics (amides: offset range 3-4 ppm, amines: 1.5-2.5 ppm, amide/amine ratio) were calculated with two models: 'asymmetry-based' (AB) and 'fluid-suppressed' (FS). The presence of T2/FLAIR mismatch was noted. RESULTS: IDH-wild type had higher amide/amine ratio than IDH-mutant_1p/19qcodel (p < 0.022). Amide/amine ratio and amine levels differentiated IDH-wild type from IDH-mutant (p < 0.0045) and from IDH-mutant_1p/19qret (p < 0.021). IDH-mutant_1p/19qret had higher amides and amines than IDH-mutant_1p/19qcodel (p < 0.035). IDH-mutant_1p/19qret with AB/FS mismatch had higher amines than IDH-mutant_1p/19qret without AB/FS mismatch ( < 0.016). In IDH-mutant_1p/19qret, the presence of AB/FS mismatch was closely related to the presence of T2/FLAIR mismatch (p = 0.014). CONCLUSIONS: CEST-derived biomarkers for amides, amines, and their ratio can help with histomolecular staging in gliomas without intense contrast enhancement. T2/FLAIR mismatch is reflected in the presence of AB/FS CEST mismatch. The AB/FS CEST mismatch identifies glioma subgroups that may have prognostic and clinical relevance

Comment on 'The efficacy and toxicity of gemcitabine, carboplatin and bevacizumab in metastatic breast cancer'

Letter to the EditorD Kitchen, M O, Brien, B Hughes, I Gill, S Rumbles, P Ellis and J Stebbin

Active-Optical Reflectance Sensing Corn Algorithms Evaluated over the United States Midwest Corn Belt

Uncertainty exists with corn (Zea mays L.) N management due to year-to-year variation in crop N need, soil N supply, and N loss from leaching, volatilization, and denitrification. Activeoptical reflectance sensing (AORS) has proven effective in some fields for generating N fertilizer recommendations that improve N use efficiency, but locally derived (e.g., within a US state) AORS algorithms have not been tested simultaneously across a broad region. The objective of this research was to evaluate locally developed AORS algorithms across the US Midwest Corn Belt region for making in-season corn N recommendations. Forty-nine N response trials were conducted across eight states and three growing seasons. Reflectance measurements were collected and sidedress N rates (45–270 kg N ha–1 on 45 kg ha–1 increments) applied at approximately V9 corn development stage. Nitrogen recommendation rates from AORS algorithms were compared with the end-of-season calculated economic optimal N rate (EONR). No algorithm was within 34 kg N ha–1 of EONR \u3e 50% of the time. Average recommendations differed from EONR 81 to 147 kg N ha–1 with no N applied at planting and 74 to 118 kg N ha–1 with 45 kg of N ha–1 at planting, indicating algorithms performed worse with no N applied at planting. With some algorithms, utilizing red edge instead of the red reflectance improved N recommendations. Results demonstrate AORS algorithms developed under a particular set of conditions may not, at least without modification, perform very well in regions outside those within which they were developed