Evaluation of synergistic opportunities among exogenous enzymes for optimal broiler performance

Currently, feed enzyme supplementation into commercial broiler diets is a routine practice due to hydrolysis of antinutrients, such as non-starch polysaccharides (NSP) and phytate (IP6); ultimately leading to optimized broiler production. As a result, the market has grown rapidly, and a multitude of feed enzymesare commercially available. Complete removal of antinutrients has not been achieved and research has primarily focused on the use of singular enzyme inclusion. Due to biochemical differences among enzyme characteristics, there may be potential for synergistic action to remove antinutrients and further maximize broiler performance. Therefore, the overall objective of this dissertation was to investigate enzyme strategies to determine optimal inclusion for broilers. Chapter 2 investigated the interactive effects of phytase dose (PD; 250 to 1500 FTU/kg) and carbohydrase enzyme (CE) of xylanase (XAN), β-mannanase (MAN), or their combination (XM). These data demonstrated an interaction between CE and PD for d 0-14 FCR, but this significance was lost during the remainder of the study. Overall benefits for performance and processing were demonstrated with feeding a PD of 1500 FTU/kg and XAN. Chapter 3 took a preliminary approach (0-14 d) to investigate the potential synergy among 3 phytase enzymes of varying biochemical properties when fed alone or in combination with low PD (120 or 240 FTU/kg). These data demonstrated potential synergy with the supplementation of 2 phytases combined at a higher PD (240 FTU/kg), as identified from ileal IP (inositol phosphate) lower ester concentration and tibia ash. Chapter 4 built upon the previous chapter, choosing 2 phytases (A or B) and addressing previous limitations by including a broader/more practical range of phytase activity (250 or 1500 FTU/kg); providing 3 diets varying in calcium (Ca) and non-phytate phosphorus (nPP); and using an entire grow-out. Feeding diets lowest in Ca and nPP along with 1500 FTU/kg of A, B, or A+B resulted in improved broiler performance. Additionally, the use of A+B at 250 FTU/kg within diets of medium Ca and nPP levels demonstrated synergism through improved broiler performance and tibia ash. Overall, data suggest that the strategic utilization of enzyme combinations may provide additional benefits towards broiler production

A mental health and wellbeing chatbot: user event log analysis

Background: Conversational user interfaces, or chatbots, are becoming more popular in the realm of digital health and well-being. While many studies focus on measuring the cause or effect of a digital intervention on people’s health and well-being (outcomes), there is a need to understand how users really engage and use a digital intervention in the real world. Objective: In this study, we examine the user logs of a mental well-being chatbot called ChatPal, which is based on the concept of positive psychology. The aim of this research is to analyze the log data from the chatbot to provide insight into usage patterns, the different types of users using clustering, and associations between the usage of the app’s features. Methods: Log data from ChatPal was analyzed to explore usage. A number of user characteristics including user tenure, unique days, mood logs recorded, conversations accessed, and total number of interactions were used with k-means clustering to identify user archetypes. Association rule mining was used to explore links between conversations. Results: ChatPal log data revealed 579 individuals older than 18 years used the app with most users being female (n=387, 67%). User interactions peaked around breakfast, lunchtime, and early evening. Clustering revealed 3 groups including “abandoning users” (n=473), “sporadic users” (n=93), and “frequent transient users” (n=13). Each cluster had distinct usage characteristics, and the features were significantly different (P&lt;.001) across each group. While all conversations within the chatbot were accessed at least once by users, the “treat yourself like a friend” conversation was the most popular, which was accessed by 29% (n=168) of users. However, only 11.7% (n=68) of users repeated this exercise more than once. Analysis of transitions between conversations revealed strong links between “treat yourself like a friend,” “soothing touch,” and “thoughts diary” among others. Association rule mining confirmed these 3 conversations as having the strongest linkages and suggested other associations between the co-use of chatbot features. Conclusions: This study has provided insight into the types of people using the ChatPal chatbot, patterns of use, and associations between the usage of the app’s features, which can be used to further develop the app by considering the features most accessed by users.Validerad;2023;Nivå 2;2023-08-14 (joosat);Funder: Interreg Northern Periphery and Arctic Programme (grant number 345)Licens fulltext: CC BY License</p

Community level digital mental health interventions:A policy and practice brief

The prevalence of mental ill-health is increasing worldwide and brings adverse consequences at both the individual and societal level. Treatments and interventions for the symptoms that represent mental health conditions may target biological, behavioural and cognitive factors. Traditionally, treatments have included psychotropic medication, and/or psychological therapies which are delivered on a one to one or group basis. Both have a high economic cost, and efficacy varies. In addition, help seeking behaviour is impacted by stigma, symptom recognition &amp; understanding, and a host of factors associated with the disorders themselves, such as avoidance behaviour. The delivery of face-to-face interventions for those who are most marginalised and most at risk from mental ill-health, can also be impacted by barriers, such as knowledge of the services available and time, connectivity or travel constraints. The research presented here is co-produced with service providers, end users and academic experts across the disciplines of psychology, business, medicine, healthcare, interaction design and computer science. This briefing is based on the findings from our research programme on a community level digital mental health intervention.<br/