Investigating the antecedents to the adoption of SCRM technologies by start-up companies

Despite their fairly recent emergence, start-up companies now play an important role in the economic development of countries around the globe. These companies have fewer tangible assets and capital, and therefore, the efficient delivery of services and products is a key business priority for them. Customer relationship management (CRM) technologies, which are designed to facilitate customer engagement during the design, development and delivery of services and products may play a significant role in the success or failure of start-up companies. Developments in new communication technologies have transformed traditional CRM into electronic CRM (eCRM), mobile CRM (mCRM); and more recently, social CRM (SCRM). However, there remains very little understanding of the factors affecting SCRM adoption in start-up businesses. The relative newness of SCRM technologies, coupled with the swiftly evolving nature of start-up companies: which has made them difficult cases to study – has limited the amount of research undertaken in this area. This paper aims to close this gap by proposing a framework that depicts the factors affecting start-up companies’ intention to adopt SCRM applications, and explores the relative importance of these factors. Inspired by an extended Technological, Organisational and Environmental (TOE) framework, this paper investigates effects of technological characteristics (TC), organisational characteristics (OC), environmental characteristics (EC) and managerial characteristics (MC) on start-up companies’ intentions to adopt SCRM applications. The results outlined in this research indicate that the observability, compatibility and trialability of SCRM solutions positively affect SCRM adoption in start-up businesses. Moreover, the availability of internal financial resources has a similarly positive effect. When considering environmental characteristics, it was found that support from venture capitalists, crowd funding support, governmental support, business angels support and external pressure all positively affect the intention to adopt SCRM applications within start-up businesses

Improvement of mechanical properties and fatigue life of stainless steel 316L in 0,9 % NaCl environment by applying shot peening and plasma nitriding treatments

Among metallic biomaterials, AISI 316L has the cheapest price yet but the lowest mechanical properties and it is prone to corrosion. Bone plate failure is often triggered by dynamics load, crevice or pitting corrosion, or a combination of fatigue and crevice or pitting corrosion attack at the same time. Shot peening and plasma nitriding are surface treatments that enhance material properties. This work examined the shot peening duration effects and plasma nitriding on surface to the depth hardness, roughness, droplet contact angle, and fatigue life in environment containing rich chloride ions. The results revealed that shot peening and plasma nitriding improved both surface layer roughness and hardness. Furthermore, shot peening and plasma nitriding reduced droplet contact angle and enhanced the fatigue life of the material

Pertumbuhan Ikan Patin Siam (Pangasianodon Hypopthalmus) Yang Dipelihara Dengan Sistem Bioflok Pada Feeding Rate Yang Berbeda

Ikan patin membutuhkan pakan dengan kandungan protein 28-30%, dan Feeding rate berkisar antara 2–5% perhari. Namun keseluhuran pakan yang diberikan hanya 25% dikonversi sebagai biomasa dan sisanya terbuang sebagai limbah (amoniak dan feses). Hal ini mengakibatkan penurunan kualitas air sehingga pertumbuhan ikan terganggu. Bioflok salah satu alternatif mengatasi masalah kualitas air. Dengan memanfaatkan kemampuan bakteri heterotrof untuk memanfaatkan limbah dalam air budidaya diubah menjadi pakan alami tambahan yang bermanfaat sebagai sumber energi dan meningkatkan pertumbuhan ikan. Perbedaan jumlah pakan yang diberikan diduga mengakibatkan perbedaan jumlah kepadatan bioflok dalam suatu perairan. Penelitian ini bertujuan untuk mengetahui pengaruh Feeding Rate yang berbeda terhadap pertumbuhan ikan patin siam yang dipelihara dalam sistem bioflok. Rancangan penelitian yang digunakan adalah rancangan acak lengkap dengan empat perlakuan dan tiga kali ulangan. Perlakuan berupa pemberian pakan dengan FR yang berbeda (1%, 3%, 5%, 5% + non bioflok). Hasil penelitian menunjukkan bahwa pemberian FR yang berbeda berpengaruh terhadap pertumbuhan ikanpatin siam. Pertumbuhan ikan tertinggi ditunjukkan pada pemeliharaan dengan menggunakan sistem bioflok pada FR 5% dan pertumbuhan ikan terendah diperole

Alternative exon splicing and differential expression in pancreatic islets reveals candidate genes and pathways implicated in early diabetes development

Type 2 diabetes (T2D) has a strong genetic component. Most of the gene variants driving the pathogenesis of T2D seem to target pancreatic β-cell function. To identify novel gene variants acting at early stage of the disease, we analyzed whole transcriptome data to identify differential expression (DE) and alternative exon splicing (AS) transcripts in pancreatic islets collected from two metabolically diverse mouse strains at 6 weeks of age after three weeks of high-fat-diet intervention. Our analysis revealed 1218 DE and 436 AS genes in islets from NZO/Hl vs C3HeB/FeJ. Whereas some of the revealed genes present well-established markers for β-cell failure, such as Cd36 or Aldh1a3, we identified numerous DE/AS genes that have not been described in context with β-cell function before. The gene Lgals2, previously associated with human T2D development, was DE as well as AS and localizes in a quantitative trait locus (QTL) for blood glucose on Chr.15 that we reported recently in our N2(NZOxC3H) population. In addition, pathway enrichment analysis of DE and AS genes showed an overlap of only half of the revealed pathways, indicating that DE and AS in large parts influence different pathways in T2D development. PPARG and adipogenesis pathways, two well-established metabolic pathways, were overrepresented for both DE and AS genes, probably as an adaptive mechanism to cope for increased cellular stress. Our results provide guidance for the identification of novel T2D candidate genes and demonstrate the presence of numerous AS transcripts possibly involved in islet function and maintenance of glucose homeostasis

Diet-induced gene expression of isolated pancreatic islets from a polygenic mouse model of the metabolic syndrome

AIMS/HYPOTHESIS: Numerous new genes have recently been identified in genome-wide association studies for type 2 diabetes. Most are highly expressed in beta cells and presumably play important roles in their function. However, these genes account for only a small proportion of total risk and there are likely to be additional candidate genes not detected by current methodology. We therefore investigated islets from the polygenic New Zealand mouse (NZL) model of diet-induced beta cell dysfunction to identify novel genes and pathways that may play a role in the pathogenesis of diabetes. METHODS: NZL mice were fed a diabetogenic high-fat diet (HF) or a diabetes-protective carbohydrate-free HF diet (CHF). Pancreatic islets were isolated by laser capture microdissection (LCM) and subjected to genome-wide transcriptome analyses. RESULTS: In the prediabetic state, 2,109 islet transcripts were differentially regulated (>1.5-fold) between HF and CHF diets. Of the genes identified, 39 (e.g. Cacna1d, Chd2, Clip2, Igf2bp2, Dach1, Tspan8) correlated with data from the Diabetes Genetics Initiative and Wellcome Trust Case Control Consortium genome-wide scans for type 2 diabetes, thus validating our approach. HF diet induced early changes in gene expression associated with increased cell-cycle progression, proliferation and differentiation of islet cells, and oxidative stress (e.g. Cdkn1b, Tmem27, Pax6, Cat, Prdx4 and Txnip). In addition, pathway analysis identified oxidative phosphorylation as the predominant gene-set that was significantly upregulated in response to the diabetogenic HF diet. CONCLUSIONS/INTERPRETATION: We demonstrated that LCM of pancreatic islet cells in combination with transcriptional profiling can be successfully used to identify novel candidate genes for diabetes. Our data strongly implicate glucose-induced oxidative stress in disease progression

Squamous cell carcinoma (SCC) arising in esophageal colon interposition

The idea of using the colon to replace a resected esophagus has a long history. The colon has become a favored organ for esophageal reconstruction in adults with esophageal cancer when the stomach is not suitable or is unavailable. In this article, we introduce an 84-year-old woman that she had surgery 40 years ago and presented with an invasive well differentiated squamous cell carcinoma of colonic origin in reconstructed esophagus. © 2017 The Author

Thermodynamically accessible titanium clusters TiN, N = 2–32

We have performed a genetic algorithm search on the tight-binding interatomic potential energy surface (PES) for small TiN (N = 2–32) clusters. The low energy candidate clusters were further refined using density functional theory (DFT) calculations with the PBEsol exchange–correlation functional and evaluated with the PBEsol0 hybrid functional. The resulting clusters were analysed in terms of their structural features, growth mechanism and surface area. The results suggest a growth mechanism that is based on forming coordination centres by interpenetrating icosahedra, icositetrahedra and Frank–Kasper polyhedra. We identify centres of coordination, which act as centres of bulk nucleation in medium sized clusters and determine the morphological features of the cluster

Biomarker discovery and redundancy reduction towards classification using a multi-factorial MALDI-TOF MS T2DM mouse model dataset

Diabetes like many diseases and biological processes is not mono-causal. On the one hand multifactorial studies with complex experimental design are required for its comprehensive analysis. On the other hand, the data from these studies often include a substantial amount of redundancy such as proteins that are typically represented by a multitude of peptides. Coping simultaneously with both complexities (experimental and technological) makes data analysis a challenge for Bioinformatics