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The effects of abomasal infusion of corn starch and β-hydroxybutyrate (BHB) on hindgut microbial fermentation characteristics and end-products in early lactation dairy cows were determined via in vitro gas production (GP). Four substrates, either fibre or starch sources differing in expected rate of degradability (slow – cellulose and corn grain; rapid – beet pulp and pregelatinized corn flour), were incubated with faecal inoculum from cows abomasally infused with water only, 1.5 kg corn starch/d + 0.0 mol BHB/d, 3.0 kg corn starch/d + 0.0 mol BHB/d, 0.0 kg corn starch/d + 8.0 mol BHB/d, 1.5 kg corn starch/d + 8.0 mol BHB/d, or 3.0 kg corn starch/d + 8.0 mol BHB/d in a 6 × 6 Latin square design. In vitro GP was measured using an automated GP system with methane (CH4) measured at specific times. After 72 h, volatile fatty acids (VFA), pH, ammonia, and in vitro organic matter digestibility (IVOMD) of incubation fluid were determined. Infusion of BHB had limited effect on hindgut microbial fermentation. Infusion of 3.0 kg corn starch/d increased GP at 3 h of incubation for all substrates but resulted in lower total GP, CH4 production, pH, ammonia concentration, and IVOMD after 72 h, while increasing total VFA concentration and molar proportions of propionate and butyrate vs. 0.0 and 1.5 kg corn starch/d infusions. Among substrates, IVOMD of cellulose was most affected by 3.0 kg corn starch/d infusion. Results suggest that in vitro fermentative activity of hindgut microbes decreases when higher levels of starch enter the hindgut.
Optimal transport tasks naturally arise in gas networks, which include a variety of constraints such as physical plausibility of the transport and the avoidance of extreme pressure fluctuations. To define feasible optimal transport plans, we utilize a $p$-Wasserstein metric and similar dynamic formulations minimizing the kinetic energy necessary for moving gas through the network, which we combine with suitable versions of Kirchhoff’s law as the coupling condition at nodes. In contrast to existing literature, we especially focus on the non-standard case $p \neq 2$ to derive an overdamped isothermal model for gases through $p$-Wasserstein gradient flows in order to uncover and analyze underlying dynamics. We introduce different options for modelling the gas network as an oriented graph including the possibility to store gas at interior vertices and to put in or take out gas at boundary vertices.
Hospital-onset bacteremia and fungemia (HOB) has been suggested as a suitable and automatable surveillance target to include in surveillance programs, however differences in definitions across studies limit interpretation and large-scale implementation. We aimed to apply an automated surveillance system for HOB in multiple hospitals using a consensus definition, and describe HOB rates.
Design and setting:
Retrospective cohort study in four Dutch hospitals: 1 tertiary hospital and 3 secondary hospitals.
Patients:
All patients admitted for at least one overnight stay between 2017 and 2021 were included, except patients in psychiatry wards.
Methods:
Data from the electronic health records and laboratory information system were used to identify HOBs based on the PRAISE consensus definition. HOB rates were calculated at ward and micro-organism-level.
Results:
Hospital-wide HOB rates varied from 1.0 to 1.9, and ICU rates varied from of 8.2 to 12.5 episodes per 1000 patient days. The median time between admission and HOB was 8–13 days. HOBs were predominantly caused by Enterobacterales, Enterococci, S. aureus and coagulase-negative staphylococci. Longitudinal HOB surveillance detected differences over time at ward and micro-organism level; for example increased HOB rates were observed during the COVID-19 pandemic. Sensitivity analyses demonstrated the impact of assumptions regarding the collection of confirmatory blood cultures for common commensals.
Conclusions:
Applying a fully automated definition for HOB surveillance was feasible in multiple centers with different data infrastructures, and enabled detection of differences over time at ward and micro-organism-level. HOB surveillance may lead to prevention initiatives in the future.
Multinomial processing trees (MPTs) are a popular class of cognitive models for categorical data. Typically, researchers compare several MPTs, each equipped with many parameters, especially when the models are implemented in a hierarchical framework. A Bayesian solution is to compute posterior model probabilities and Bayes factors. Both quantities, however, rely on the marginal likelihood, a high-dimensional integral that cannot be evaluated analytically. In this case study, we show how Warp-III bridge sampling can be used to compute the marginal likelihood for hierarchical MPTs. We illustrate the procedure with two published data sets and demonstrate how Warp-III facilitates Bayesian model averaging.
Kruskal, Harshman and Lundy have contrived a special 2 × 2 × 2 array to examine formal properties of degenerate Candecomp/Parafac solutions. It is shown that for this array the Candecomp/Parafac loss has an infimum of 1. In addition, the array will be used to challenge the tradition of fitting Indscal and related models by means of the Candecomp/Parafac process.
Kroonenberg and de Leeuw (1980) have developed an alternating least-squares method TUCKALS-3 as a solution for Tucker's three-way principal components model. The present paper offers some additional features of their method. Starting from a reanalysis of Tucker's problem in terms of a rank-constrained regression problem, it is shown that the fitted sum of squares in TUCKALS-3 can be partitioned according to elements of each mode of the three-way data matrix. An upper bound to the total fitted sum of squares is derived. Finally, a special case of TUCKALS-3 is related to the Carroll/Harshman CANDECOMP/PARAFAC model.
An algorithm is described for fitting the DEDICOM model for the analysis of asymmetric data matrices. This algorithm generalizes an algorithm suggested by Takane in that it uses a damping parameter in the iterative process. Takane's algorithm does not always converge monotonically. Based on the generalized algorithm, a modification of Takane's algorithm is suggested such that this modified algorithm converges monotonically. It is suggested to choose as starting configurations for the algorithm those configurations that yield closed-form solutions in some special cases. Finally, a sufficient condition is described for monotonic convergence of Takane's original algorithm.
An important feature of distance-based principal components analysis, is that the variables can be optimally transformed. For monotone spline transformation, a nonnegative least-squares problem with a length constraint has to be solved in each iteration. As an alternative algorithm to Lawson and Hanson (1974), we propose the Alternating Length-Constrained Non-Negative Least-Squares (ALC-NNLS) algorithm, which minimizes the nonnegative least-squares loss function over the parameters under a length constraint, by alternatingly minimizing over one parameter while keeping the others fixed. Several properties of the new algorithm are discussed. A Monte Carlo study is presented which shows that for most cases in distance-based principal components analysis, ALC-NNLS performs as good as the method of Lawson and Hanson or sometimes even better in terms of the quality of the solution.
Interactions between the endocannabinoid system (ECS) and neurotransmitter systems might mediate the risk of developing a schizophrenia spectrum disorder (SSD). Consequently, we investigated in patients with SSD and healthy controls (HC) the relations between (1) plasma concentrations of two prototypical endocannabinoids (N-arachidonoylethanolamine [anandamide] and 2-arachidonoylglycerol [2-AG]) and (2) striatal dopamine synthesis capacity (DSC), and glutamate and y-aminobutyric acid (GABA) levels in the anterior cingulate cortex (ACC). As anandamide and 2-AG might reduce the activity of these neurotransmitters, we hypothesized negative correlations between their plasma levels and the abovementioned neurotransmitters in both groups.
Methods
Blood samples were obtained from 18 patients and 16 HC to measure anandamide and 2-AG plasma concentrations. For all subjects, we acquired proton magnetic resonance spectroscopy scans to assess Glx (i.e. glutamate plus glutamine) and GABA + (i.e. GABA plus macromolecules) concentrations in the ACC. Ten patients and 14 HC also underwent [18F]F-DOPA positron emission tomography for assessment of striatal DSC. Multiple linear regression analyses were used to investigate the relations between the outcome measures.
Results
A negative association between 2-AG plasma concentration and ACC Glx concentration was found in patients (p = 0.008). We found no evidence of other significant relationships between 2-AG or anandamide plasma concentrations and dopaminergic, glutamatergic, or GABAergic measures in either group.
Conclusions
Our preliminary results suggest an association between peripheral 2-AG and ACC Glx levels in patients.
In this chapter, we explore the duality of the artificial intelligence (AI)–enabled gig economy in terms of the precarity and the promise it offers. In particular we focus on underrepresented and disadvantaged groups of workers who found new homes in the AI-enabled gig economy. We explore how their precarity is viewed in the extant literature. We then expose the lack of attention to this group of workers, whose exclusion from the traditional labour market was not originally problematised, who now are portrayed as suffering as a result of poor regulation of AI. As such we expose the hypocrisy in terms of how precarity is problematised with the development of AI-enabled gig economy and yet the potential of the gig economy to open up opportunities for atypical workers is often overlooked. One of the concerns that we observe is the over-representation of the atypical workers in the sector. We demonstrate that it is possible to have an AI-enabled gig economy which does not lead to precarity, if there is effective regulation of the sector. We provide a brief roadmap with multilevel regulatory controls for combatting precarity in the AI-led gig economy.
To determine oncological and functional outcomes in patients with T3 and T4 laryngeal carcinoma, in which choice of treatment was based on expected laryngeal function and not T classification.
Methods
Oncological outcomes (disease-specific survival and overall survival) as well as functional outcomes (larynx preservation and functional larynx preservation) were analysed.
Results
In 130 T3 and 59 T4 patients, there was no difference in disease-specific survival or overall survival rates after radiotherapy (RT) (107 patients), chemoradiotherapy (36 patients) and total laryngectomy (46 patients). The five-year disease-specific survival rates were 83 per cent after RT, 78 per cent after chemoradiotherapy and 69 per cent after total laryngectomy, whereas overall survival rates were 62, 54 and 60 per cent, respectively. Five-year larynx preservation and functional larynx preservation rates were comparable for RT (79 and 66 per cent, respectively) and chemoradiotherapy (86 and 62 per cent, respectively).
Conclusion
There is no difference in oncological outcome after (chemo)radiotherapy or total laryngectomy in T3 and T4 laryngeal carcinoma patients whose choice of treatment was based on expected laryngeal function.
The objective of the present study is to expand our understanding of visual complaints in people with multiple sclerosis (MS) with the aim of exploring potential rehabilitation approaches for treating visual complaints. Visual complaints are increasingly recognized as a core manifestation of MS. Up to 90% of people with MS report all kinds of visual complaints, such as blurry vision, double vision, being blinded by bright light, a reduced visual field and having trouble with depth perception. Since intact vision is quintessential to many activities of daily life, such as reading or car driving, these complaints affect independent participation to a great extent. The complaints cannot be fully explained by optical neuritis (a common symptom of MS) or other treatable visual or ophthalmological disorders. Moreover, there are no rehabilitation programs available for visual complaints in people with MS. However, the complaints are not yet understood well enough to develop effective rehabilitation strategies to reduce the impact of the visual complaints.
Participants and Methods:
Visual complaints were assessed using the Screening Visual Complaints questionnaire. 68 people with MS with visual complaints, and 37 with hardly any visual complaints received a standard visual function assessment and a neuropsychological assessment. Correlations between the visual complaints, visual functions and cognitive functions were calculated. In addition, correlations were calculated between several visual functions and a composite score of the neuropsychological assessment.
Results:
Only some specific visual measures related to visual complaints, with small to moderate effect sizes. While most specific cognitive functions did not show correlations, measures indicative of overall cognitive capacity in people with MS (such as motor speed) consistently correlated with different kinds of visual complaints. Additionally, visual functions that related to visual complaints also correlated with the composite score for cognitive functioning.
Conclusions:
Our study serendipitously showed that in developing or composing effective rehabilitation strategies for visual complaints, we should look beyond a person’s visual functioning: first, the overall cognitive capacity should be taken into account. Second, visual functioning and cognitive functioning are closely related. These results indicate that visual complaints may be a result of a general decline of the visual and/or cognitive system as one. When treating these complaints, low vision rehabilitation and neuropsychological rehabilitation strategies may be combined. Strategies should not focus on specific visual or cognitive functions, but at making the visual world more easily accessible, or more easily visible, to reduce the impact on the visual system and cognitive capacity. Strategies could range from applying more contrast in the environment to psycho-education. Future research should focus on developing rehabilitation programs and assessing their effectiveness in people with MS or with other types of non-acquired brain injuries.
Fibre-optic laryngoscopy is still widely used in daily clinical practice; however, high-definition laryngoscopy using narrow band imaging could be more reliable in characterising pharyngeal and laryngeal lesions.
Methods
Endoscopic videos were assessed in a tertiary referral hospital by 12 observers with different levels of clinical experience. Thirty pairs of high-definition laryngoscopy with narrow band imaging and fibre-optic laryngoscopy videos were judged twice, with an interval of two to four weeks, in a random order. Inter- and intra-observer reliability, sensitivity and specificity were calculated in terms of detecting a malignant lesion and a specific histological entity, for beginners, trained observers and experts.
Results
Using high-definition laryngoscopy with narrow band imaging, inter-observer reliability for detecting malignant lesions increased from moderate to substantial in trained observers and experts (high-definition laryngoscopy with narrow band imaging κ = 0.66 and κ = 0.77 vs fibre-optic laryngoscopy κ = 0.51 and κ = 0.56, for trained observers and experts respectively) and sensitivity increased by 16 per cent.
Conclusion
Inter-observer reliability increased with the level of clinical experience, especially when using high-definition laryngoscopy with narrow band imaging.
The needs of young people attending mental healthcare can be complex and often span multiple domains (e.g., social, emotional and physical health factors). These factors often complicate treatment approaches and contribute to poorer outcomes in youth mental health. We aimed to identify how these factors interact over time by modelling the temporal dependencies between these transdiagnostic social, emotional and physical health factors among young people presenting for youth mental healthcare.
Methods
Dynamic Bayesian networks were used to examine the relationship between mental health factors across multiple domains (social and occupational function, self-harm and suicidality, alcohol and substance use, physical health and psychiatric syndromes) in a longitudinal cohort of 2663 young people accessing youth mental health services. Two networks were developed: (1) ‘initial network’, that shows the conditional dependencies between factors at first presentation, and a (2) ‘transition network’, how factors are dependent longitudinally.
Results
The ‘initial network’ identified that childhood disorders tend to precede adolescent depression which itself was associated with three distinct pathways or illness trajectories; (1) anxiety disorder; (2) bipolar disorder, manic-like experiences, circadian disturbances and psychosis-like experiences; (3) self-harm and suicidality to alcohol and substance use or functioning. The ‘transition network’ identified that over time social and occupational function had the largest effect on self-harm and suicidality, with direct effects on ideation (relative risk [RR], 1.79; CI, 1.59–1.99) and self-harm (RR, 1.32; CI, 1.22–1.41), and an indirect effect on attempts (RR, 2.10; CI, 1.69–2.50). Suicide ideation had a direct effect on future suicide attempts (RR, 4.37; CI, 3.28–5.43) and self-harm (RR, 2.78; CI, 2.55–3.01). Alcohol and substance use, physical health and psychiatric syndromes (e.g., depression and anxiety, at-risk mental states) were independent domains whereby all direct effects remained within each domain over time.
Conclusions
This study identified probable temporal dependencies between domains, which has causal interpretations, and therefore can provide insight into their differential role over the course of illness. This work identified social, emotional and physical health factors that may be important early intervention and prevention targets. Improving social and occupational function may be a critical target due to its impacts longitudinally on self-harm and suicidality. The conditional independence of alcohol and substance use supports the need for specific interventions to target these comorbidities.
Duodenoscopy-associated infections and outbreaks are reported globally despite strict adherence to duodenoscope reprocessing protocols. Therefore, new developments in the reprocessing procedure are needed.
Design:
We evaluated a novel dynamic flow model for an additional cleaning step between precleaning and manual cleaning in the reprocessing procedure.
Methods:
A parallel plate flow chamber with a fluorinated ethylene propylene bottom plate was used to mimic the duodenoscope channels. The flow chamber was inoculated with a suspension containing Klebsiella pneumoniae to simulate bacterial contamination during a duodenoscopic procedure. After inoculation the flow chamber was flushed with a detergent mimicking precleaning. Subsequently the flow chamber was subjected to different interventions: flow with phosphate-buffered saline (PBS), flow with 2 commercial detergents, flow with sodium dodecyl sulfate with 3 different concentrations, and flow with microbubbles. Adhering bacteria were counted using phase-contrast microscopy throughout the experiment, and finally, bacterial viability was assessed.
Results:
During precleaning both PBS and 1% (v/v) Neodisher Mediclean Forte were able to desorb bacteria, but neither proved superior. After precleaning only sodium dodecyl sulfate could desorb bacteria.
Conclusions:
Flushing during precleaning is an essential step for reducing adhering luminal bacteria, and sodium dodecyl sulfate is a promising detergent for bacterial desorption from duodenoscope channels after precleaning.
Subthreshold/attenuated syndromes are established precursors of full-threshold mood and psychotic disorders. Less is known about the individual symptoms that may precede the development of subthreshold syndromes and associated social/functional outcomes among emerging adults.
Methods
We modeled two dynamic Bayesian networks (DBN) to investigate associations among self-rated phenomenology and personal/lifestyle factors (role impairment, low social support, and alcohol and substance use) across the 19Up and 25Up waves of the Brisbane Longitudinal Twin Study. We examined whether symptoms and personal/lifestyle factors at 19Up were associated with (a) themselves or different items at 25Up, and (b) onset of a depression-like, hypo-manic-like, or psychotic-like subthreshold syndrome (STS) at 25Up.
Results
The first DBN identified 11 items that when endorsed at 19Up were more likely to be reendorsed at 25Up (e.g., hypersomnia, impaired concentration, impaired sleep quality) and seven items that when endorsed at 19Up were associated with different items being endorsed at 25Up (e.g., earlier fatigue and later role impairment; earlier anergia and later somatic pain). In the second DBN, no arcs met our a priori threshold for inclusion. In an exploratory model with no threshold, >20 items at 19Up were associated with progression to an STS at 25Up (with lower statistical confidence); the top five arcs were: feeling threatened by others and a later psychotic-like STS; increased activity and a later hypo-manic-like STS; and anergia, impaired sleep quality, and/or hypersomnia and a later depression-like STS.
Conclusions
These probabilistic models identify symptoms and personal/lifestyle factors that might prove useful targets for indicated preventative strategies.
The Philippine microfinance sector encompasses banks, non‑governmental organizations (NGOs) and various non-bank financial intermediaries (e.g., cooperatives and credit unions) providing financial services to customers that most mainstream financial institutions deem too costly or risky. The sector has transformed over the years, both in terms of the number of institutions providing microfinance services and the number of clients served. From the late 1980s when NGOs and similar not-for-profit institutions used to dominate microlending, the sector has steadily grown, attracting commercial players, chiefly banks of varying orientations (e.g., rural, thrift and cooperative banks), encouraged by the business potential of tapping a large, hitherto underserved, market. The microfinance clientele has similarly grown from a few thousands to several millions (MCPI 2016).
The growth of the sector can be traced in part to a wider acceptance of the view that broadening access to finance is an effective strategy for poverty alleviation. The pessimism that grew out of the failed subsidized credit programmes of an earlier period has given way to a more sanguine view of “banking with the poor”, based on the celebrated successes of models like the Grameen Bank and the Association for Social Advancement (ASA) of Bangladesh and BancoSol of Bolivia. A key element in these successful experiments has been the application of sound banking principles emphasizing financial sustainability, challenging microfinance institutions (MFIs) to rely less on government or donor subsidies while serving more of the poor.
At the institutional level, the creation of a policy environment more hospitable to financial inclusion supported the paradigm shift from one of subsidy dependence to financial sustainability. This included the adoption of microfinance standards for NGOs as well as the encouragement given banks to get involved in microfinance. In 1997, the Philippines rolled out the National Strategy for Microfinance (NSM) to provide the framework for the promotion of microfinance as a sustainable activity. The strategy called for government policies directed at enlarging the role of private MFIs in financial services provision for low-income groups. It also provided the basis for subsequent laws and issuances on financing poverty alleviation measures.
Both logic programming in general and Prolog in particular have a long and fascinating history, intermingled with that of many disciplines they inherited from or catalyzed. A large body of research has been gathered over the last 50 years, supported by many Prolog implementations. Many implementations are still actively developed, while new ones keep appearing. Often, the features added by different systems were motivated by the interdisciplinary needs of programmers and implementors, yielding systems that, while sharing the “classic” core language, in particular, the main aspects of the ISO-Prolog standard, also depart from each other in other aspects. This obviously poses challenges for code portability. The field has also inspired many related, but quite different languages that have created their own communities. This article aims at integrating and applying the main lessons learned in the process of evolution of Prolog. It is structured into three major parts. First, we overview the evolution of Prolog systems and the community approximately up to the ISO standard, considering both the main historic developments and the motivations behind several Prolog implementations, as well as other logic programming languages influenced by Prolog. Then, we discuss the Prolog implementations that are most active after the appearance of the standard: their visions, goals, commonalities, and incompatibilities. Finally, we perform a SWOT analysis in order to better identify the potential of Prolog and propose future directions along with which Prolog might continue to add useful features, interfaces, libraries, and tools, while at the same time improving compatibility between implementations.