Building producer loyalty in Malaysia's fresh milk supply chain

The paper presents results from a survey of 133 dairy producers in Malaysia, and identifies how Malaysian milk buyers can build a loyal customer base with their suppliers as a means to secure uninterrupted milk supplies. A structural equation model was conducted to test the conceptual model using AMOS 17.0 software. The results show that whereas timely and collaborative communication, price satisfaction and cultural fit influence positively suppliers’ contractual and competence trust in their buyers, power dependency negatively influences competence trust. Furthermore, suppliers’ trust in their buyers will eventually lead to loyalty. The principal implication is that milk processors and other buyers need to engage in collaborative communication with the dairy farmers to ensure continuous and uninterrupted supply.dairy, Malaysia, customer base, competence trust, suppliers trust, collaborative communication, Agribusiness, Agricultural and Food Policy, Farm Management, Industrial Organization, Institutional and Behavioral Economics, Marketing, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods, Teaching/Communication/Extension/Profession,

Melting dynamics of large ice balls in a turbulent swirling flow

We study the melting dynamics of large ice balls in a turbulent von Karman flow at very high Reynolds number. Using an optical shadowgraphy setup, we record the time evolution of particle sizes. We study the heat transfer as a function of the particle scale Reynolds number for three cases: fixed ice balls melting in a region of strong turbulence with zero mean flow, fixed ice balls melting under the action of a strong mean flow with lower fluctuations, and ice balls freely advected in the whole flow. For the fixed particles cases, heat transfer is observed to be much stronger than in laminar flows, the Nusselt number behaving as a power law of the Reynolds number of exponent 0.8. For freely advected ice balls, the turbulent transfer is further enhanced and the Nusselt number is proportional to the Reynolds number. The surface heat flux is then independent of the particles size, leading to an ultimate regime of heat transfer reached when the thermal boundary layer is fully turbulent

Saethre-Chotzen mutations cause TWIST protein degradation or impaired nuclear location

International audienceH-TWIST belongs to the family of basic helix-loop-helix (bHLH) transcription factors known to exert their activity through dimer formation. We have demonstrated recently that mutations in H-TWIST account for Saethre-Chotzen syndrome (SCS), an autosomal dominant craniosynostosis syndrome characterized by premature fusion of coronal sutures and limb abnormalities of variable severity. Although insertions, deletions, nonsense and missense mutations have been identified, no genotype-phenotype correlation could be found, suggesting that the gene alterations lead to a loss of protein function irrespective of the mutation. To assess this hypothesis, we studied stability, dimerization capacities and subcellular distribution of three types of TWIST mutant. Here, we show that: (i) nonsense mutations resulted in truncated protein instability; (ii) missense mutations involving the helical domains led to a complete loss of H-TWIST heterodimerization with the E12 bHLH protein in the two-hybrid system and dramatically altered the ability of the TWIST protein to localize in the nucleus of COS-transfected cells; and (iii) in-frame insertion or missense mutations within the loop significantly altered dimer formation but not the nuclear location of the protein. We conclude that at least two distinct mechanisms account for loss of TWIST protein function in SCS patients, namely protein degradation and subcellular mislocalization

OREXIN 1 AND 2 RECEPTOR INVOLVEMENT IN CO2 -INDUCED PANIC-ASSOCIATED BEHAVIOR AND AUTONOMIC RESPONSES

BACKGROUND: The neuropeptides orexin A and B play a role in reward and feeding and are critical for arousal. However, it was not initially appreciated that most prepro-orexin synthesizing neurons are almost exclusively concentrated in the perifornical hypothalamus, which when stimulated elicits panic-associated behavior and cardiovascular responses in rodents and self-reported "panic attacks" and "fear of dying" in humans. More recent studies support a role for the orexin system in coordinating an integrative stress response. For instance, orexin neurons are highly reactive to anxiogenic stimuli, are hyperactive in anxiety pathology, and have strong projections to anxiety and panic-associated circuitry. Although the two cognate orexin receptors are colocalized in many brain regions, the orexin 2 receptor (OX2R) most robustly maps to the histaminergic wake-promoting region, while the orexin 1 receptor (OX1R) distribution is more exclusive and dense in anxiety and panic circuitry regions, such as the locus ceruleus. Overall, this suggests that OX1Rs play a critical role in mobilizing anxiety and panic responses. METHODS: Here, we used a CO2 -panic provocation model to screen a dual OX1/2R antagonist (DORA-12) to globally inhibit orexin activity, then a highly selective OX1R antagonist (SORA1, Compound 56) or OX2R antagonist (SORA2, JnJ10397049) to assess OX1R and OX2R involvement. RESULTS: All compounds except the SORA2 attenuated CO2 -induced anxiety-like behaviors, and all but the SORA2 and DORA attenuated CO2 -induced cardiovascular responses. CONCLUSIONS: SORA1s may represent a novel method of treating anxiety disorders, with no apparent sedative effects that were present with a benzodiazepine

Update on ACM SIGCOMM CCR reviewing process

This editorial note aims to first inform the SIGCOMM community on the reviewing process in place currently at CCR, and second, share our plans to make CCR a more open and welcoming venue by making changes to the review process, adding more value to the SIGCOMM community

A matter of warts: a taxonomic treatment for Drypetes verrucosa (Putranjivaceae, Malpighiales) and a new cauliflorous species from Cameroon and Nigeria, D. stevartii

Background and aims – Specimens of a new tree species in the genus Drypetes (Putranjivaceae) distributed in Cameroon and eastern Nigeria, D. stevartii, were associated with D. verrucosa, another tree species endemic to Gabon, due to its warty fruits and to the overall morphological resemblances of both species. Material and methods – The present study is based on the study of 20 gatherings of D. verrucosa and 26 gatherings of D. stevartii. Morphological observations on herbarium specimens belonging to the new species and D. verrucosa were carried out in order to describe them. Key results – This treatment includes the detailed descriptions of these two species, the typification of their names, a comparative table summarizing their main morphological differences, an identification key, photographs of both, as well as information about their distribution, habitat, and phenology. Preliminary IUCN Red List assessments show that both D. verrucosa and D. stevartii are ‘Near Threatened’ species

Proximal hyperspectral imaging detects diurnal and drought-induced changes in maize physiology

Hyperspectral imaging is a promising tool for non-destructive phenotyping of plant physiological traits, which has been transferred from remote to proximal sensing applications, and from manual laboratory setups to automated plant phenotyping platforms. Due to the higher resolution in proximal sensing, illumination variation and plant geometry result in increased non-biological variation in plant spectra that may mask subtle biological differences. Here, a better understanding of spectral measurements for proximal sensing and their application to study drought, developmental and diurnal responses was acquired in a drought case study of maize grown in a greenhouse phenotyping platform with a hyperspectral imaging setup. The use of brightness classification to reduce the illumination-induced non-biological variation is demonstrated, and allowed the detection of diurnal, developmental and early drought-induced changes in maize reflectance and physiology. Diurnal changes in transpiration rate and vapor pressure deficit were significantly correlated with red and red-edge reflectance. Drought-induced changes in effective quantum yield and water potential were accurately predicted using partial least squares regression and the newly developed Water Potential Index 2, respectively. The prediction accuracy of hyperspectral indices and partial least squares regression were similar, as long as a strong relationship between the physiological trait and reflectance was present. This demonstrates that current hyperspectral processing approaches can be used in automated plant phenotyping platforms to monitor physiological traits with a high temporal resolution