Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of liquid ubiquinol supplementation on glucose, lipids and antioxidant capacity in type 2 diabetes patients: a double-blind, randomised, placebo-controlled trial

Abstract Ubiquinone is a lipid antioxidant, and a novel liquid ubiquinol (a hydro-soluble, reduced form of coenzyme Q10) supplement was recently developed. The purpose of this study was to examine the levels of glucose, lipids and antioxidant capacity of type 2 diabetes patients after liquid ubiquinol supplementation. This study was designed as a randomised, double-blind, placebo-controlled trial. In all, fifty participants were randomly assigned to a placebo (n 25) or liquid ubiquinol (100 mg/d, n 25) group, and the intervention lasted for 12 weeks. Plasma coenzyme Q10, glucose homoeostasis parameters, lipid profiles, oxidative stress and antioxidative enzyme activities were measured during the study. After 12 weeks of supplementation, glyco Hb (HbA1c) value was significantly decreased in the liquid ubiquinol group (P=0·03), and subjects in the liquid ubiquinol group had significantly lower anti-glycaemic medication effect scores (MES) compared with those in the placebo group (P=0·03). The catalase (P<0·01) and glutathione peroxidase (P=0·03) activities were increased significantly after supplementation. Plasma coenzyme Q10 was correlated with the insulin level (P=0·05), homoeostatic model assessment-insulin resistance (P=0·07), quantitative insulin sensitivity check index (P=0·03) and the anti-hyperglycaemic agents’ MES (P=0·03) after supplementation. Lipid profiles did not change after supplementation; however, the subjects in the placebo group had a significantly lower level of HDL-cholesterol after 12 weeks of intervention. In conclusion, oral intake of 100 mg/d liquid ubiquinol might benefit type 2 diabetes patients by increasing antioxidant enzyme activity levels, reducing HbA1c levels and maintaining HDL-cholesterol levels.
The basal interstitial nucleus (BIN) of the cerebellum provides diffuse ascending inhibitory input to the floccular granule cell layer

The basal interstitial nucleus (BIN) in the white matter of the vestibulocerebellum has been defined more than three decades ago, but has since been largely ignored. It is still unclear which neurotransmitters are being used by BIN neurons, how these neurons are connected to the rest of the brain and what their activity patterns look like. Here, we studied BIN neurons in a range of mammals, including macaque, human, rat, mouse, rabbit, and ferret, using tracing, immunohistological and electrophysiological approaches. We show that BIN neurons are GABAergic and glycinergic, that in primates they also express the marker for cholinergic neurons choline acetyl transferase (ChAT), that they project with beaded fibers to the glomeruli in the granular layer of the ipsilateral floccular complex, and that they are driven by excitation from the ipsilateral and contralateral medio‐dorsal medullary gigantocellular reticular formation. Systematic analysis of codistribution of the inhibitory synapse marker VIAAT, BIN axons, and Golgi cell marker mGluR2 indicate that BIN axon terminals complement Golgi cell axon terminals in glomeruli, accounting for a considerable proportion ( > 20%) of the inhibitory terminals in the granule cell layer of the floccular complex. Together, these data show that BIN neurons represent a novel and relevant inhibitory input to the part of the vestibulocerebellum that controls compensatory and smooth pursuit eye movements.
Deficiency in intestinal epithelial O‐GlcNAcylation predisposes to gut inflammation

Post‐translational modifications in intestinal epithelial cells (IECs) allow for precise control in intestinal homeostasis, the breakdown of which may precipitate the pathological damage and inflammation in inflammatory bowel disease. The O‐linked β‐N‐acetylglucosamine (O‐GlcNAc) modification on intracellular proteins controls diverse biological processes; however, its roles in intestinal homeostasis are still largely unexplored. Here, we found that levels of protein O‐GlcNAcylation and the expression of O‐GlcNAc transferase (OGT), the enzyme adding the O‐GlcNAc moiety, were reduced in IECs in human IBD patients. Deletion of OGT specifically in IECs resulted in disrupted epithelial barrier, microbial dysbiosis, Paneth cell dysfunction, and intestinal inflammation in mice. Using fecal microbiota transplantation in mice, we demonstrated that microbial dysbiosis although was insufficient to induce spontaneous inflammation but exacerbated chemical‐induced colitis. Paneth cell‐specific deletion of OGT led to Paneth cell dysfunction, which might predispose mice to chemical‐induced colitis. On the other hand, the augmentation of O‐GlcNAc signaling by inhibiting O‐GlcNAcase, the enzyme removing O‐GlcNAcylation, alleviated chemical‐induced colitis. Our data reveal that protein O‐GlcNAcylation in IECs controls key regulatory mechanisms to maintain mucosal homeostasis.
Improving Cardiovascular Disease Knowledge among Rural Participants: The Results of a Cluster Randomized Trial

Cardiovascular disease (CVD) is a major cause of death and disability, especially among people living in the rural, southern United States. Rural African Americans are often diagnosed with CVD earlier in life, and they bear a disproportionate burden of CVD risk factors, morbidity, and mortality. Health equity among historically underserved, rural populations can potentially be attained through culturally relevant interventions that teach people skills to stay well and avoid CVD-related risk and diagnoses. The purpose of this secondary analysis was to determine the effect of an evidence-based intervention on cardiovascular health knowledge and the stages of change toward the action and maintenance phases. The pre-test-post-test data were obtained during a cluster randomized trial involving twelve rural churches that were randomized to intervention (n = 6) and control (n = 6) groups. Participants (n = 115) in the intervention group received a cardiovascular health intervention, and those (n = 114) in the control group could receive the intervention following the study’s completion. The data were analyzed using a linear mixed model to compare group differences from pre-test to post-test. The cardiovascular health promotion intervention significantly improved cardiovascular health knowledge and was associated with advancements in the stages of change toward the action and maintenance phases.
The Role of School Context in Implementing a Statewide Anti-Bullying Policy and Protecting Students

Bullying is a significant problem in U.S. schools. Policies have been developed to reduce bullying, yet policy implementation by educators is an essential yet difficult and complex process. Few studies have investigated factors that act as barriers to or facilitators of bullying policy implementation and teacher protection of students. This study examined the influence of school context on educators’ capacity to implement a statewide bullying law and protect students from bullying following the enactment of the policy. Data were collected from 505 educators in 324 schools. School administrators tended to rate fidelity of policy implementation and teacher protection of students higher than teachers, education support professionals, and student service professionals. Policy implementation fidelity scores were higher in high schools than elementary schools. School size and the prevalence of student suspensions were inversely related to implementation fidelity. Higher levels of teacher protection were reported in elementary schools.
Identification of Novel Biomarkers for Priority Serotypes of Shiga Toxin-Producing Escherichia coli and the Development of Multiplex PCR for Their Detection

It would be desirable to have an unambiguous scheme for the typing of Shiga toxin-producing Escherichia coli (STEC) isolates to subpopulations. Such a scheme should take the high genomic plasticity of E. coli into account and utilize the stratification of STEC into subgroups, based on serotype or phylogeny. Therefore, our goal was to identify specific marker combinations for improved classification of STEC subtypes. We developed and evaluated two bioinformatic pipelines for genomic marker identification from larger sets of bacterial genome sequences. Pipeline A performed all-against-all BLASTp analyses of gene products predicted in STEC genome test sets against a set of control genomes. Pipeline B identified STEC marker genes by comparing the STEC core proteome and the “pan proteome” of a non-STEC control group. Both pipelines defined an overlapping, but not identical set of discriminative markers for different STEC subgroups. Differential marker prediction resulted from differences in genome assembly, ORF finding and inclusion cut-offs in both workflows. Based on the output of the pipelines, we defined new specific markers for STEC serogroups and phylogenetic groups frequently associated with outbreaks and cases of foodborne illnesses. These included STEC serogroups O157, O26, O45, O103, O111, O121, and O145, Shiga toxin-positive enteroaggregative E. coli O104:H4, and HUS-associated sequence type (ST)306. We evaluated these STEC marker genes for their presence in whole genome sequence data sets. Based on the identified discriminative markers, we developed a multiplex PCR (mPCR) approach for detection and typing of the targeted STEC. The specificity of the mPCR primer pairs was verified using well-defined clinical STEC isolates as well as isolates from the ECOR, DEC, and HUSEC collections. The application of the STEC mPCR for food analysis was tested with inoculated milk. In summary, we evaluated two different strategies to screen large genome sequence data sets for discriminative markers and implemented novel marker genes found in this genome-wide approach into a DNA-based typing tool for STEC that can be used for the characterization of STEC from clinical and food samples.
Automatic Optimization of an in Silico Model of Human iPSC Derived Cardiomyocytes Recapitulating Calcium Handling Abnormalities

The growing importance of human induced pluripotent stem cell-derived cardiomyoyctes (hiPSC-CMs), as patient-specific and disease-specific models for studying cellular cardiac electrophysiology or for preliminary cardiotoxicity tests, generated better understanding of hiPSC-CM biophysical mechanisms and great amount of action potential and calcium transient data. In this paper, we propose a new hiPSC-CM in silico model, with particular attention to Ca2+ handling. We used (i) the hiPSC-CM Paci2013 model as starting point, (ii) a new dataset of Ca2+ transient measurements to tune the parameters of the inward and outward Ca2+ fluxes of sarcoplasmic reticulum, and (iii) an automatic parameter optimization to fit action potentials and Ca2+ transients. The Paci2018 model simulates, together with the typical hiPSC-CM spontaneous action potentials, more refined Ca2+ transients and delayed afterdepolarizations-like abnormalities, which the old Paci2013 was not able to predict due to its mathematical formulation. The Paci2018 model was validated against (i) the same current blocking experiments used to validate the Paci2013 model, and (ii) recently published data about effects of different extracellular ionic concentrations. In conclusion, we present a new and more versatile in silico model, which will provide a platform for modeling the effects of drugs or mutations that affect Ca2+ handling in hiPSC-CMs.
Sn- and Cu-oxide reduction by formic acid and its application to power module soldering

In this paper, surface analysis of a copper substrate and solder foil, and real time measurement of oxide film thickness during reduction by formic acid with an ellipsometer are described. From the measurement results, the native oxide films of the copper substrate and the solder foil are presumed to be Cu2O and SnO, respectively, and their thicknesses are confirmed as 4 nm and 5.3 nm, respectively. It is also found that SnO has a higher reduction rate by formic acid than Cu2O. Furthermore, the contact angle of the melted solder ball becomes smaller as the copper oxide film becomes thinner, but complete oxide removal is necessary to obtain favorable solder wettability. On the basis of these formic acid reduction data, a void rate of 1% or less is achieved in a soldered sample processed with a formic acid reduction reflow machine.
Role of BDNF Signaling in Memory Enhancement Induced by Transcranial Direct Current Stimulation

In the recent years numerous studies have provided encouraging results supporting the use of transcranial direct current stimulation (tDCS) as non-invasive brain stimulation technique to improve motor and cognitive functions in patients suffering from neurological and neuropsychiatric disorders as well as in healthy subjects. Among the multiple effects elicited by tDCS on cognitive functions, experimental evidence and clinical findings have highlighted the beneficial impact on long-term memory. Memory deficits occur during physiological aging as well as in neurological and neurodegenerative disorders, including Alzheimer’s disease (AD). In this scenario, non-invasive techniques for memory enhancement, such as tDCS, are receiving increasing attention. The knowledge of molecular mechanisms subtending tDCS effects is of pivotal importance for a more rationale use of this technique in clinical settings. Although we are still far from having a clear picture, recent literature on human and animal studies has pointed to the involvement of synaptic plasticity mechanisms in mediating tDCS effects on long-term memory. Here we review these studies focusing on the neurotrophin “brain-derived neurotrophic factor” (BDNF) as critical tDCS effector.
Developmental surface dysgraphia without surface dyslexia

ABSTRACT The case is reported of an individual (N.K.) with a developmental spelling impairment (dysgraphia) who has no apparent problems in reading. His performance therefore provides further evidence of a classical dissociation between impaired spelling and preserved reading in individuals with developmental literacy problems. The dissociation is observed when N.K. is asked to read and spell in either his first (Greek) or his second language (English). An investigation of his spelling performance revealed that his impairment was more selective than that of P.J.T. Although his spelling of regular words and nonwords was normal, N.K. had a problem in spelling words with atypical sound–letter associations despite having no problems in reading aloud or understanding the meaning of words of this kind. It is argued that N.K. ’s pattern of performance can be best explained in terms of normal development of an orthographic system that allows access to the meaning and pronunciation of written words during reading. In terms of a dual-route model of spelling, his poor spelling appears to be the result of a developmental impairment that impedes access to the orthographic system from phonology and semantics. In terms of the triangle model, his poor spelling appears to be the result of a developmental impairment that affects activation of orthography from semantics.
Business process management success framework for transition economies

ABSTRACT This article presents business process management (BPM) framework, which considers the specific circumstances in transition economies. The analysis of 47 papers shows that in addition to common critical success factors, BPM adoption in transition economies should also consider factors such as environment, external stakeholders impact, ownership, and implementation context. The proposed framework contributes to the theory by offering a solid foundation for future research and to the practice by indicating essential constructs for effective BPM.
[Somatic and pharmacological nurse care in 2b-teams in Flanders: a cross-sectional explorative study].

BACKGROUND In the context of the Belgian mental health care reform (project 107), 2b-teams provide care to people with a serious mental illness (smi), a population encountering regular somatic comorbidity and limited compliance with medication. Team composition and care provided by these teams is rather unclear. AIM: To consider the team composition and to focus on the nurses' role within Flemish 2b-teams. Also, seen from different disciplines involved, to determine the desired future nursing role. METHOD: A structured interview was used to discover team characteristics and fidelity to the flexible assertive community treatment (fact) model in 12 Flemish 2b-teams. With a digital survey containing 16 questions we explored the actual and desired nursing care, according to 151 nurses and medical physicians. RESULTS: Despite the difference in team size and composition, it was not found to be significant. Flemish team's fact model-fidelity was average. Actual care was restricted to psychosocial interventions. Regarding desired care, significant differences were found between physicians and nurses. Caregivers within outreach teams scored items significantly higher on desired care compared to actual care. CONCLUSION: We conclude that the team composition of Flemish 2b-team varies, with an average fact model fidelity. Team care is restricted to psychosocial interventions, while more somatic and nursing care is desired.
Equalizing Financial Impact in Supervised Learning

Notions of "fair classification" that have arisen in computer science generally revolve around equalizing certain statistics across protected groups. This approach has been criticized as ignoring societal issues, including how errors can hurt certain groups disproportionately. We pose a modification of one of the fairness criteria from Hardt, Price, and Srebro [NIPS, 2016] that makes a small step towards addressing this issue in the case of financial decisions like giving loans. We call this new notion "equalized financial impact. "
Modified robust image alignment by sparse and low rank decomposition for highly linearly correlated data

This paper proposes an effective and robust algorithm for image alignment on a set of linearly correlated ata. The new algorithm modifies the Robust Algorithm for Sparse and Low rank decomposition (RASL) by utilizing the prior information of partial column rank. To attain this, an extra term is incorporated in the decomposition of data matrix, which enables the new approach to be more resilient to errors, outliers and occlusions. The problem is cast as a constrained optimization problem, which is then solved by convex program. A new set of equations are also derived to update the variables involved in a round-robin manner. Conducted simulations on the recovery of aligned face images and handwritten digits reveal the effectiveness of the new algorithm compared with the main state-of-the-art works.
Predictors of Leaving an Inpatient Medical Withdrawal Service Against Medical Advice: A Retrospective Analysis

Objectives: The purpose of this study was to determine the frequency and predictors of patients leaving an inpatient medical withdrawal unit against medical advice (AMA). Methods: This study used a case-control design to compare patients who were discharged AMA (n = 164) with those who completed treatment (n = 678). Logistic regression analysis was used to determine which variables were independent predictors of patients leaving AMA. Results: We found that being admitted through the emergency department (odds ratio [OR] 3.17, confidence interval [CI] 1.66–6.08), having gamma-hydroxybutyrate (OR 7.61, CI 1.81–32.09) as a primary substance of concern compared to alcohol, and having multiple axis I psychiatric diagnoses (OR 2.20, CI 1.16–4.18) or depression (OR 2.86, CI 1.32–6.17) compared with no psychiatric diagnosis increased the odds of leaving inpatient medical withdrawal AMA. By contrast, not being dependent on nicotine (OR 0.45, CI 0.23–0.88) and increasing time since admission (OR 0.42, CI 0.36–0.48) reduced the odds of leaving AMA. Conclusions: The findings of this study reveal novel information about patients who leave inpatient medical withdrawal AMA and can inform targeted interventions to prevent vulnerable patients from terminating treatment early and improve healthcare service utilization.
Constructions of Coded Caching Schemes With Flexible Memory Size

Coded caching scheme recently has become quite popular in the wireless network, since the maximum transmission amount <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula> reduces effectively during the peak-traffic times. To realize a coded caching scheme, each file must be divided into <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula> packets, which usually increases the computation complexity of a coded caching scheme. So we prefer to design a scheme with <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula> as small as possible in practice. However, there exists a tradeoff between <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula>. In this paper, we generalize the schemes constructed by Shangguan <italic>et al.</italic> (IEEE Transactions on Information Theory, 64, 5755–5766, 2018) and Yan <italic>et al.</italic> (IEEE Transactions on Information Theory 63, 5821–5833, 2017), respectively. These two classes of schemes have a wider range of application due to the more flexible memory size than the original ones. By comparing with the previous known deterministic schemes, our new schemes have advantages on <inline-formula> <tex-math notation="LaTeX">${R}$ </tex-math></inline-formula> or <inline-formula> <tex-math notation="LaTeX">${F}$ </tex-math></inline-formula>.
Mechanical Performance of Multidirectional Buckling-Based Negative Stiffness Metamaterials: An Analytical and Numerical Study

Unidirectional, bidirectional and tridirectional Buckling-based Negative Stiffness (BNS) lattice metamaterials are designed by adding prefabricated curved beams into multidimensional rigid frames. Finite Element Analysis models are built, and their mechanical performance is investigated and discussed. First, geometric parameters of the curved beam were systematically studied with numerical analyses and the results were validated by theoretical solutions. Next, within unidirectional designs of different layer numbers, the basic properties of multilayer BNS metamaterials were revealed via quasi-static compressions. Then, the bidirectional and tridirectional designs were loaded on orthogonal axes to research both the quasi-static and dynamic behaviors. For dynamic analysis conditions, simulation scenarios of different impact velocities were implemented and compared. The results demonstrate that the proposed numerical analysis step has accurately predicted the force-displacement relations of both the curved beam and multilayer designs and the relations can be tuned via different geometric parameters. Moreover, the macroscopic performance of the metamaterials is sensitive to the rigidity of supporting frames. The shock force during impact is reduced down below the buckling thresholds of metamaterial designs and sharp impact damage is avoided. The presented metamaterials are able to undergo multiaxial stress conditions while retaining the negative stiffness effect and energy-absorbing nature and possess abundant freedom of parametric design, which is potentially useful in shock and vibration engineering.