Innovation in the 21st century SME manufacturing environments

The environment in which we inhabit is shaped by technology and how as users we use it. This can be seen in the manufacturing SME environment. Manufacturing SMEs are dynamic and flexible but as the business environment is changing at a greater rate than ever before they have to adapt to changes more quickly and efficiently. The ability to adapt to change needs to be reflected in the organisations information management system. The information flows have to be dynamic and flexible to allow for change to occur more efficiently in the organisation not only at management level but throughout the organisation, for the shop floor operator to the managing director. Ambient intelligence (AmI) can assist in the development of more dynamic information flows in the organisation. AmI is a user centred technology concept. In involves including the user, process and environment in the system in a more dynamic way by integrating the various elements to interact together to create an environment that caters to need and requirements of user technologically. This can be achieved by developing an AmI system that can adapt to the different needs and requirements of the users of the system for information related to there specific requirements at any given time. The paper examines the concept of AmI within manufacturing SME. An AmI SME process typology is presented and applied to the manufacturing case study. The solution and implementation are examined through the typology. The business benefits of the system are highlighted

Neutral genomic microevolution of a recently emerged pathogen, salmonella enterica serovar agona

Salmonella enterica serovar Agona has caused multiple food-borne outbreaks of gastroenteritis since it was first isolated in 1952. We analyzed the genomes of 73 isolates from global sources, comparing five distinct outbreaks with sporadic infections as well as food contamination and the environment. Agona consists of three lineages with minimal mutational diversity: only 846 single nucleotide polymorphisms (SNPs) have accumulated in the non-repetitive, core genome since Agona evolved in 1932 and subsequently underwent a major population expansion in the 1960s. Homologous recombination with other serovars of S. enterica imported 42 recombinational tracts (360 kb) in 5/143 nodes within the genealogy, which resulted in 3,164 additional SNPs. In contrast to this paucity of genetic diversity, Agona is highly diverse according to pulsed-field gel electrophoresis (PFGE), which is used to assign isolates to outbreaks. PFGE diversity reflects a highly dynamic accessory genome associated with the gain or loss (indels) of 51 bacteriophages, 10 plasmids, and 6 integrative conjugational elements (ICE/IMEs), but did not correlate uniquely with outbreaks. Unlike the core genome, indels occurred repeatedly in independent nodes (homoplasies), resulting in inaccurate PFGE genealogies. The accessory genome contained only few cargo genes relevant to infection, other than antibiotic resistance. Thus, most of the genetic diversity within this recently emerged pathogen reflects changes in the accessory genome, or is due to recombination, but these changes seemed to reflect neutral processes rather than Darwinian selection. Each outbreak was caused by an independent clade, without universal, outbreak-associated genomic features, and none of the variable genes in the pan-genome seemed to be associated with an ability to cause outbreaks

Implementation of an AmI system in a Manufacturing SME

SME are facing greater challenges due to increased labour cost and reduced cycle times. To adapt to this change more effectively and efficiently they need systems in place that adapt to change easily and seamlessly. This is the case in the customised product and service manufacturing SME sector. Ambient intelligence (AmI) has the ability to help SME to become more flexible to change and build on their already dynamic nature. The ability of the AmI system to adapt and learn in different situations is the key to maintaining the competitiveness in an organisation. This paper seeks to demonstrate the development and implementation of an AmI system in the manufacturing SME environment. It presents an AmI system in industry reference model that highlights the implicit and explicit interaction between the user, process and environment in an AmI system. The reference model is applied to a case study and the benefits arising from implementation are highlighted and discussed

Complete Genome Sequence of Mannheimia varigena Isolated from Bovine Milk

peer-reviewedMannheimia varigena is a pathogen of cattle that has been isolated from diseased lung and udder. There are currently complete genome sequences for 4 M. varigena isolates, all from lungs of cattle in the United States. We report a complete genome sequence of M. varigena isolated from bovine milk in Ireland

Evaluation of microbial communities associated with the liquid and solid phases of the rumen of cattle offered a diet of perennial ryegrass or white clover

Rumen microbiota plays an important role in animal productivity, methane production and health. Several different locations have been used to obtain rumen samples (i.e., liquid-phase samples, solid-phase samples, buccal swabs) in previous studies. Here we assess differences in the rumen microbiota between solid- and liquid-phases of the rumen under differing dietary conditions (white clover vs. perennial ryegrass); there were 4 sample types: liquid-associated/grass (LG), solid-associated/grass (SG), liquid-associated/clover (LC), and solid-associated/clover (SC). Four Holstein-Friesian cows were strip grazed on pure stands of perennial ryegrass or white clover in a change-over design experiment with 3 periods (each lasting for 3 weeks). Solid- and liquid- phase microbes were obtained following total rumen evacuation on the penultimate day of each period. DNA was extracted and multiplexed libraries sequenced using 16S next generation sequencing (Illumina MiSeq). Demultiplexed sequences underwent quality control and taxonomic profiles were generated for each sample. Statistical analysis for the effects of diet and phase was conducted both overall [using non-metric multidimensional scaling (NMDS) and diversity indices] and for individual taxa. Separation of both diet and phase was observed NMDS, with significant effects of diet (P < 0.001) and phase (P < 0.001) being observed. Regardless of diet, Prevotella was most abundant in the liquid samples. When assessing differences between phases, the majority of statistically significant taxa (predominantly from Archaea and the order Clostridiales) were found at higher relative abundances in solid-phase samples. Diversity (Shannon Index) was lower in the liquid-phase samples, possibly because of the higher relative abundance of Prevotella. A presence vs. absence approach, followed by Chi-squared testing, was adopted. Differences between phases (LG vs. LC, LC vs. LG, SG vs. SC, and SC vs. SG) and differences between phases for the clover diet (LC vs. SC and SC vs. LC) were significant (P < 0.001); differences between phases for the grass diet were non-significant. Sampling technique has a profound impact on reported microbial communities, which must be taken into consideration, particularly as archaea may be underestimated in the liquid-phase.</p

A framework to support knowledge transfer in the service sector

This paper introduces a framework for analysing and supporting knowledge transfer in healthcare services. It argues that the individual is at the centre of the transfer process and, as such, needs to be catered-to within both teams and organisations. Within the healthcare sector, safety is critical, and the effective and efficient transfer of knowledge between healthcare professionals and patients can help to reduce the risks in the system. Furthermore, the authors hope that a clear understanding and accurate identification of the factors that impact the knowledge transfer process for individuals can have an impact on the knowledge transfer process in teams and organisations. The development of a suitable approach to support knowledge transfer for improved transfer of knowledge among these groups in the healthcare services is achieved using technology where appropriate, through the knowledge transfer framework which is presented

Long-term effects of prior diets, dietary transition and pregnancy on adipose gene expression in dairy heifers

peer-reviewedAdipose tissue is highly involved in whole-body metabolism and is the main site for lipid synthesis, storage and mobilization in ruminants. Therefore, knowledge about adipose tissue responses to different diets is important, especially in growing heifers as the feeding regimes of replacement heifers affect their future success as dairy cows. However, at gene expression level such knowledge is limited. As part of a larger feed trial, adipose tissue biopsies from 24 Norwegian Red heifers were collected at 12 months of age (12MO) and at month seven of gestation (PREG) and analyzed by next-generation mRNA sequencing. Between these two sampling points, all heifers had gone through a successful conception and a feed change from four dietary treatments of high or low energy (HE/LE) and protein (HP/LP) content (treatments LPHE, HPHE, LPLE and HPLE) to a low-energy, low-protein pregnancy feed given to all animals. Gene expression differences between different feed treatments at 12MO are described in an earlier publication from our group. The main objectives of this study were to investigate the long-term effects of diets differing in protein and energy density level on gene expression in adipose tissue of growing replacement dairy heifers. To achieve this, we examined the post-treatment effects between the treatment groups at month seven of gestation; 6 months after the termination of experimental feeding, and the long-term gene expression changes occurring in the adipose tissue between 12MO and PREG. Post-treatment group comparisons showed evidence of long-term effects of dietary treatment on adipose gene expression. Differences between protein treatments were smaller than between energy treatments. Adipose gene expression changes from 12MO to PREG were much larger for the HE than the LE treatments and seemed to mostly be explained by the characteristics of the diet change. 97 genes displayed a unidirectional expression change for all groups from 12MO to PREG, and are considered to be treatment-independent, possibly caused by pregnancy or increased age. This study provides candidate genes and key regulators for further studies on pregnancy preservation (TGFB1, CFD) and metabolic regulation and efficiency (PI3K, RICTOR, MAP4K4,) in dairy cattle

RNA-seq analysis of bovine adipose tissue in heifers fed diets differing in energy and protein content

peer-reviewedAdipose tissue is no longer considered a mere energy reserve, but a metabolically and hormonally active organ strongly associated with the regulation of whole-body metabolism. Knowledge of adipose metabolic regulatory function is of great importance in cattle management, as it affects the efficiency and manner with which an animal converts feedstuff to milk, meat and fat. However, the molecular mechanisms regulating metabolism in bovine adipose tissue are still not fully elucidated. The emergence of next-generation sequencing technologies has facilitated the analysis of metabolic function and regulation at the global gene expression level. The aim of this study was to investigate the effect of diets differing in protein and energy density level on gene expression in adipose tissue of growing replacement dairy heifers using next-generation RNA sequencing (RNAseq). Norwegian Red heifers were fed either a high- or low-protein concentrate (HP/LP) and a high- or low-energy roughage (HE/LE) diet from 3 months of age until confirmed pregnancy to give four treatments (viz, HPHE, HPLE, LPHE, LPLE) with different growth profiles. Subcutaneous adipose tissue sampled at 12 months of age was analyzed for gene expression differences using RNAseq. The largest difference in gene expression was found between LPHE and LPLE heifers, for which 1092 genes were significantly differentially expressed, representing an up-regulation of mitochondrial function, lipid, carbohydrate and amino acid metabolism as well as changes in the antioxidant system in adipose tissue of LPHE heifers. Differences between HPHE and HPLE heifers were much smaller, and dominated by genes representing NAD biosynthesis, as was the significantly differentially expressed genes (DEG) common to both HE-LE contrasts. Differences between HP and LP groups within each energy treatment were minimal. This study emphasizes the importance of transcriptional regulation of adipose tissue energy metabolism, and identifies candidate genes for further studies on early-stage obesity and glucose load in dairy cattle

Healthcare professionals' perceived barriers and facilitators of implementing clinical practice guidelines for stroke rehabilitation: A systematic review

OBJECTIVE: To identify healthcare professionals' perceived barriers and facilitators to clinical practice guideline implementation within stroke rehabilitation. DATA SOURCES: CINAHL, MEDLINE, EMBASE, AMED, Cochrane library, Academic Search Complete and Scopus. Additional papers were identified through hand searching. REVIEW METHODS: The review followed the Preferred Reporting Item for Systematic Reviews and Meta-Analysis Protocols systematic review approach. Any empirical research that provided qualitative data on healthcare professionals' perceived factors influencing clinical guideline implementation in stroke rehabilitation was included. One reviewer screened all titles and abstract reviews (n = 669). Another two reviewers independently screened 30% of title and abstract reviews, followed by full-text reviews (n = 61). Study quality was assessed using the mixed-method appraisal tool. RESULTS: Data from 10 qualitative, six quantitative and six mixed-method studies published between 2000 and 2022, involving 1576 participants in total, were analysed and synthesised using modified thematic synthesis approach. The majority of participants were therapists n = 1297 (occupational therapists, physiotherapists, speech and language therapists). Organisational factors (time constraints, resources) alongside healthcare professionals' lack of knowledge and skills were the most cited barriers to guideline implementation. Contradictory attitudes and beliefs towards stroke guidelines applicability to real-life clinical practice and their evidence base were reported. Organisational support in the form of training, local protocols, performance monitoring and leadership were reported as perceived facilitators. CONCLUSION: Barriers and facilitators are multifactorial and were identified at guideline, individual, team and organisational levels. There is a need to translate perceived barriers and facilitators into implementation interventions especially addressing organisational-level barriers

Links between the rumen microbiota, methane emissions and feed efficiency of finishing steers offered dietary lipid and nitrate supplementation

peer-reviewedRuminant methane production is a significant energy loss to the animal and major contributor to global greenhouse gas emissions. However, it also seems necessary for effective rumen function, so studies of anti-methanogenic treatments must also consider implications for feed efficiency. Between-animal variation in feed efficiency represents an alternative approach to reducing overall methane emissions intensity. Here we assess the effects of dietary additives designed to reduce methane emissions on the rumen microbiota, and explore relationships with feed efficiency within dietary treatment groups. Seventy-nine finishing steers were offered one of four diets (a forage/concentrate mixture supplemented with nitrate (NIT), lipid (MDDG) or a combination (COMB) compared to the control (CTL)). Rumen fluid samples were collected at the end of a 56 d feed efficiency measurement period. DNA was extracted, multiplexed 16s rRNA libraries sequenced (Illumina MiSeq) and taxonomic profiles were generated. The effect of dietary treatments and feed efficiency (within treatment groups) was conducted both overall (using non-metric multidimensional scaling (NMDS) and diversity indexes) and for individual taxa. Diet affected overall microbial populations but no overall difference in beta-diversity was observed. The relative abundance of Methanobacteriales (Methanobrevibacter and Methanosphaera) increased in MDDG relative to CTL, whilst VadinCA11 (Methanomassiliicoccales) was decreased. Trimethylamine precursors from rapeseed meal (only present in CTL) probably explain the differences in relative abundance of Methanomassiliicoccales. There were no differences in Shannon indexes between nominal low or high feed efficiency groups (expressed as feed conversion ratio or residual feed intake) within treatment groups. Relationships between the relative abundance of individual taxa and feed efficiency measures were observed, but were not consistent across dietary treatments