Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of adherence to oral antiviral hepatitis B treatment using structured questionnaires.

AIM To assess adherence rates to nucleos(t)ide analogues (NUCs) therapy in patients with chronic hepatitis B virus infection and determine factors associated with adherence. METHODS The questionnaire study was conducted in the liver clinics at Concord Repatriation General Hospital. All patients who were currently taking one or more NUCs were asked to complete a structured, self-administered 32-item questionnaire. Adherence was measured using visual analogue scales. The patient's treating clinician was also asked to assess their patient's adherence via a structured questionnaire. RESULTS A total of 80 patients completed the questionnaire. Sixty six percent of the patients (n = 49) reported optimal adherence whilst 25 (33.8%) graded their adherence to NUCs as suboptimal. Thirty four (43%) patients reported to have omitted taking their NUCs sometime in the past. Recent non-adherence was uncommon. Amongst the patients who reported skipping medications, the most common reason cited was "forgetfulness" (n = 27, 56.25%). Other common reasons included: ran out of medications (n = 5, 10.42%), being too busy (n = 4, 8.33%) and due to a change in daily routine (n = 5, 10.42%). Patients who reported low adherence to other prescription pills were also more likely to miss taking NUCs (P = 0.04). Patients who were under the care of a language-discordant clinician were also more likely to report suboptimal adherence to NUCs (P = 0.04). CONCLUSION Adherence rates were much less than that expected by the physician and has potential adverse affect on long term outcome. Communication and education appear central and strategies need to be implemented to improve ongoing adherence.
Experiments in Computing: A Survey

Experiments play a central role in science. The role of experiments in computing is, however, unclear. Questions about the relevance of experiments in computing attracted little attention until the 1980s. As the discipline then saw a push towards experimental computer science, a variety of technically, theoretically, and empirically oriented views on experiments emerged. As a consequence of those debates, today's computing fields use experiments and experiment terminology in a variety of ways. This paper analyzes experimentation debates in computing. It presents five ways in which debaters have conceptualized experiments in computing: feasibility experiment, trial experiment, field experiment, comparison experiment, and controlled experiment. This paper has three aims: to clarify experiment terminology in computing; to contribute to disciplinary self-understanding of computing; and, due to computing's centrality in other fields, to promote understanding of experiments in modern science in general.
Flaxseed cotyledon fraction reduces tumour growth and sensitises tamoxifen treatment of human breast cancer xenograft (MCF-7) in athymic mice

Dietary flaxseed (FS) inhibited the growth of human breast tumours and enhanced the effectiveness of tamoxifen (TAM) in athymic mice with low oestradiol (E2) levels. The present study determined whether the n-3 fatty acid-rich cotyledon fraction of FS (FC), alone or in combination with TAM, has a similar effect and thus can substitute for FS. In a 2 × 2 factorial design, ovariectomised mice with established oestrogen receptor (ER)-positive breast tumours (MCF-7) were treated as follows: groups 1 and 2 were fed the basal diet (BD, control) and FC diet (82 g FC/kg), respectively. Groups 3 and 4 with TAM implants (5 mg) were fed the BD and FC diet, respectively. At 8 weeks post-treatment, mice were euthanised, and tumours were analysed by immunohistochemistry and real-time PCR. BD, FC and FC/TAM groups significantly decreased tumour area, but the TAM group did not. Tumour regression in the FC/TAM group was greater compared to the TAM group. FC lowered cell proliferation but had no effect on apoptosis; the opposite was observed with TAM. FC suppressed mRNA expressions of pS2 and insulin-like growth factor 1 receptor (IGF-1R) and protein expressions of ERα, phosphospecific ERα, human epidermal growth factor receptor 2 (HER2), phosphospecific HER2 (pHER2) and amplified in breast 1 (AIB1), while TAM up-regulated mRNA expressions of Bcl2, progesterone receptor and IGF-1R and protein expression of pHER2, and down-regulated ERβ mRNA. FC modulated the effect of TAM on tumour growth biomarkers. In conclusion, FC reduced the growth of ER+human breast tumours at low circulating E2, alone and combined with TAM, in part through modulation of ER − and growth factor-mediated signalling pathways; it may substitute for FS in increasing the effectiveness of TAM.
Low brain GABA level is associated with poor seizure control

Low gamma‐aminobutyric acid (GABA) concentrations in the cerebrospinal fluid are seen in a variety of epileptic syndromes. Low GABA levels outside of the epileptic focus may facilitate spread of discharges beyond the focus. In vivo measurements of GABA were made by 1H spectroscopy using a 2.1‐T magnetic resonance imager‐spectrometer and an 8‐cm surface coil to measure a 14‐cm3 volume in the occipital lobe. Patients with complex partial seizures had lower GABA levels (1.03 mmol/kg of brain; 95% confidence interval [CI], 0.95−1.12; n = 28; p < 0.02) than did subjects without epilepsy (1.18; 95% CI, 1.13−1.24; n = 19). There was a significant association between low GABA levels and recent seizures (correlation coefficient of 0.548, p < 0.01, df of 32). Conversely, patients with well‐controlled seizures had higher brain GABA levels than did patients with recent seizures. Patients with seizures within a day of the measurement had lower GABA levels (0.92 mmol/kg; 95% CI, 0.78−1.06; n = 7) than did patients who were seizure free for 5 years or longer (1.28; 95% CI, 1.09−1.47; n = 4). Poor seizure control is associated with low brain GABA levels.
Intrathecal fentanyl as an adjuvant to 0.75% isobaric ropivacaine for infraumbilical surgery under subarachnoid block: A prospective study

Background: Subarachnoid blockade can be used in all surgical procedures carried out on the infraumbilical region. This study was aimed to evaluate the clinical efficacy and safety of intrathecal fentanyl as an adjuvant to 0.75% isobaric ropivacaine on onset, duration, intensity, and recovery time of sensory and motor blockade of subarachnoid block for infra umbilical surgery. Methods: One hundred sixty adult consented patients of either gender with American Society of Anesthesiologist ASA I and II scheduled for infraumbilical surgery were randomized into two groups of 80 patients each to receive either intrathecal study solution of 4 mL of 0.75% ropivacaine with 0.4 mL of 0.9% sodium chloride (Group I-Ropivacaine Control Group RC) or fentanyl (20 μg) (Group II-Ropivacaine with Fentanyl RF). The end points were hemodynamic variability, onset of analgesia at T 10, maximum sensory analgesic level, time to complete motor blockade, duration of sensory and motor blockade and adequacy of surgical anesthesia. The post-spinal nausea and vomiting, shivering, pruritus, respiratory depression or any other side-effects were also assessed. At the end of study, data were systematically complied and analyzed for statistically significance. Result: The intrathecal fentanyl has accelerated the onset time to achieve sensory blockade to T10 dermatome and motor blockade. Small dose of intrathecal fentanyl with ropivacaine has prolonged the duration of analgesia in the early post-operative period when compared with intrathecal ropivacaine alone. The intraoperative hemodynamic variability showed no statistically significant differences between groups. Conclusion: Intrathecal fentanyl as an adjuvant to 0.75% isobaric ropivacaine demonstrated better clinical profile as compared to ropivacaine alone.
Characterisation of the expression and function of the GM-CSF receptor α-chain in mice

The granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) is a hematopoietic cytokine able to regulate a variety of cell functions including differentiation of macrophages and granulocytes, dendritic cell development and the maintenance of homeostasis. It binds specifically to its receptor, which is composed of a cytokine‐specific α‐chain (GM‐CSF receptor α‐chain, GMRα) and a β‐chain shared with the receptors for interleukin‐3 and interleukin‐5. In this report, we present a comprehensive study of GMRα in the mouse. We have found that the mouse GMRα is polymorphic and alternatively spliced. In the absence of specific antibodies, we generated a novel chimeric protein containing the Fc fragment of human IgG1 coupled to mouse GM‐CSF, which was able to specifically bind to GMRα and induce proliferation of GMRα‐transduced Ba/F3 cells. We used this reagent to perform the first detailed FACS study of the surface expression of mouse GMRα by leucocytes. Highest expression was found on monocytes and granulocytes, and variable expression on tissue macrophages. The GM‐CSF receptor in mice is specifically expressed by myeloid cells and is useful for the detection of novel uncharacterised myeloid populations. The ability to detect GM‐CSF receptor expression in experimental studies should greatly facilitate the analysis of its role in immune pathologies.
Identifying Hedonic Models

Economic models for hedonic markets characterize the pricing of bundles of attributes and the demand and supply of these attributes under different assumptions about market structure, preferences and technology. (See Jan Tinbergen, 1956, Sherwin Rosen, 1974 and Dennis Epple, 1987, for contributions to this literature). While the theory is well formulated, and delivers some elegant analytical results, the empirical content of the model is under debate. It is widely believed that hedonic models fit in a single market are fundamentally underidentified and that any empirical content obtained from them is a consequence of arbitrary functional form assumptions. The problem of identification in hedonic models is a prototype for the identification problem in a variety of economic models in which agents sort on unobservable (to the economist) characteristics: models of monopoly pricing (Michael Mussa and Sherwin Rosen, 1978; Robert Wilson, 1993) and models for taxes and labor supply (James Heckman, 1974). Sorting is an essential feature of econometric models of social interactions. (See William Brock and Steven Durlauf, 2001). In this paper we address the sorting problem in hedonic models. Nesheim (2001) extends this analysis to a model with peer effects. In this paper we note that commonly used linearization strategies made to simplify estimation and justify the application of instrumental variables methods, produce identification problems. The hedonic model is generically nonlinear. It is the linearization of a fundamentally nonlinear model that produces the form of the identification problem that dominates discussion in the applied literature. Linearity is an arbitrary and misleading functional form when applied to empirical hedonic models. Our research establishes that even though sorting equilibrium in a single market implies no exclusion restrictions, the hedonic model is generically nonparametrically identified. Instrumental variables and transformation model methods identify economically relevant parameters even 1 without exclusion restrictions. Multimarket data, widely viewed as the most powerful source of identification, achieves this result only under implausible assumptions about why hedonic functions vary across markets.
Ageing differentially affects neural processing of different conflict types—an fMRI study

Interference control and conflict resolution is affected by ageing. There is increasing evidence that ageing does not compromise interference control in general but rather shows distinctive effects on different components of interference control. Different conflict types, [e.g., stimulus-stimulus (S-S) or stimulus-response (S-R) conflicts] trigger different cognitive processes and thus activate different neural networks. In the present functional magnetic resonance imaging (fMRI) study, we used a combined Flanker and Stimulus Response Conflict (SRC) task to investigate the effect of ageing on S-S and S-R conflicts. Behavioral data analysis revealed larger SRC effects in elderly. fMRI Results show that both age groups recruited similar regions [caudate nucleus, cingulate gyrus and middle occipital gyrus (MOG)] during Flanker conflict processing. Furthermore, elderly show an additional activation pattern in parietal and frontal areas. In contrast, no common activation of both age groups was found in response to the SRC. These data suggest that ageing has distinctive effects on S-S and S-R conflicts.
Incidence of Childhood Diabetes in Children Aged Less than 15 Years and Its Clinical and Metabolic Characteristics at the Time of Diagnosis: Data from the Childhood Diabetes Registry of Saxony, Germany

Aims: The Childhood Diabetes Registry in Saxony, Germany, examined the incidence and metabolic characteristics of childhood diabetes. Methods: In the federal state of Saxony, newly diagnosed cases of diabetes in children and adolescents aged less than 15 years were registered continuously from 1999 until 2008. Family history, date of diagnosis, clinical and laboratory parameters were obtained. Reported cases were ascertained by public health departments as an independent data source and verified using the capture- recapture method. Results: A total of 865 children and adolescents with newly diagnosed diabetes were registered in Saxony. About 96% of them were classified as having type 1 diabetes, 0.6% had type 2 diabetes, 2.4% had maturity-onset diabetes of the young (MODY), and 1.4% had other types of diabetes. The age-standardized incidence rate of type 1 diabetes was estimated at 17.5 per 100,000 children per year. Completeness of ascertainment as calculated by the capture-recapture method amounted to 93.6%. At the time of diagnosis, 27.1% of children with type 1 diabetes had ketoacidosis, 1.5% had a blood pH <7.0, and 1.1% were unconscious. Conclusion: The registry provided data about the incidence rates and clinical presentation of childhood diabetes in a defined German population. We observed higher incidence rates compared to previous surveys.
Expression of CD11b and CD18 on polymorphonuclear neutrophils stimulated with interleukin-2

Background Interleukin-2 (IL-2) is a lymphocyte-activating and growth-promoting factor, and has been widely studied on T-cells and NK-cells. However, the interaction of polymorphonuclear neutrophils (PMNs) with IL-2 is poorly studied and thus, this study aimed at defining IL-2 participation in the expression of CD11b and CD18 on PMNs. Material and methods PMNs were isolated from heparinized whole blood of healthy donors. Purified cells were incubated with IL-2 (10 ng/ml) for 24 hours at 37°C in a humidified incubator with 5% CO2. After 24 hours’ incubation, surface molecules (CD11b and CD18) were measured by flow cytometry. Results Interestingly, the antibodies of IL-2Rβ chain (CD122-FITC) were found in all observed cells. The induction of CD11b mean fluorescence intensity (MFI) in highly purified PMNs stimulated with IL-2 was clearly increased recording 43% in comparison to the freshly isolated PMNs and the un-stimulated PMNs which were found to be 23% and 28% of CD11b, respectively. Furthermore, flow cytometry analysis demonstrated that the highly purified PMNs exposed to IL-2 showed an increase in CD18 MFI, recording 47% with respect to that of the freshly isolated PMNs and PMNs cultured with the medium alone which showed a small amount of 38% and 27%, respectively. Conclusions Results demonstrated that CD11b and CD18 had been acquired on the surface of the IL-2-in vitro-activated PMNs. These findings indicated that IL-2 may play a crucial role in PMNs migration.
Application of Cluster-Based Local Outlier Factor Algorithm in Anti-Money Laundering

Financial institutions’ capability in recognizing suspicious money laundering transactional behavioral patterns (SMLTBPs) is critical to anti-money laundering. Combining distance-based unsupervised clustering and local outlier detection, this paper designs a new cluster-based local outlier factor (CBLOF) algorithm to identify SMLTBPs and use authentic and synthetic data experimentally to test its applicability and effectiveness. Keywords-clustering; outlier detection; local outlier factor (LOF); suspicious money laundering transactional behavioral patterns (SMLTBPs); anti-money laundering (AML)
Log shifted gamma approximation to lognormal sum distributions

This paper proposes the log shifted gamma (LSG) approximation to model the sum of M lognormal distributed random variables. The closed-form probability density function (PDF) of the resulting LSG random variable (RV) is presented and its parameters are derived from those of the M individual lognormal RV by using an iterative moment matching technique. Simulation results on the cumulative distribution function (CDF) of sum of M lognormal random variables in different conditions are used as reference curves to compare various approximation techniques. LSG approximation is found to provide better accuracy over a wide CDF range, especially for large M and/or standard deviation.
Effect of sorting, refrigeration and packaging on tomato shelf life

In order to reduce horticultural produce losses, two Brazilian tomato varieties were submitted to post-harvest handling procedures combining sorting, refrigerated storage and different carton packages. These procedures were evaluated with respect to their effects on the produce shelf life. Studies were conducted to analyze coloration, firmness, flavour and weight loss changes in mature green tomatoes stored at 7 o C, 13 o C and ambient temperature (24 o C). In general, after 9 days of storage, higher storage temperatures promoted higher sweetness and weight loss levels, as well as lower firmness. The study also included a comparison between some tomatoes held at 24 o C for 9 days and a sample kept at 13 o C for 22 days, showing that the produce from these storage conditions had fairly similar postharvest characteristic results. Although sorting and package factors affect some isolated characteristics, they did not seem to strongly influence tomato shelf life.
Intestinal Absorption and Metabolism of Epimedium Flavonoids in Osteoporosis Rats

Herba Epimdii is a traditional Chinese medicine used to treat osteoporosis. Its main pharmacological ingredients are flavonoids. In previous studies conducted in healthy animals, we showed that epimedium flavonoids could be hydrolyzed into secondary glycosides or aglycon by intestinal flora or enzymes, thereby enhancing their absorption and antiosteoporosis activity. To study the medicine in the pathologic state, epimedium flavonoids were incubated with intestinal mucosa and feces in vitro and intestinal perfusion in situ to explore the differences in absorption and metabolism between sham and osteoporosis rats. For osteoporosis rats, the hydrolysis rates of icariin, epimedin A, epimedin B, and epimedin C incubated with intestinal flora for 1 hour were reduced by 0.19, 0.26, 0.19, and 0.14, respectively, compared with that in sham rats. Hydrolysis rates were reduced by 0.21, 0.24, 0.08, and 0.31 for icariin, epimedin A, epimedin B, and epimedin C incubated with duodenal enzymes for 1 hour and by 0.13, 0.09, 0.07, and 0.47 for icariin, epimedin A, epimedin B, and epimedin C incubated with jejunum enzymes, respectively, compared with the sham group. In addition, the apparent permeability coefficient and elimination percentage of the four epimedium flavonoids in the duodenum, jejunum, ileum, and colon decreased by 29%–44%, 32%–50%, 40%–56%, and 27%–53% compared with that in sham rats, respectively. The main metabolites of the four epimedium flavonoids were the same for the two groups after intestinal perfusion, or flora and enzyme incubation. In conclusion, the amount and activity of intestinal flora and enzymes changed in ovariectomized rats, which affected the intestinal absorption and hydrolysis of epimedium flavonoids whose structures contain 7-glucose.
Modulation of neural responses in inferotemporal cortex during the interpretation of ambiguous photographs

Ambiguous images are interpreted in the context of biases about what they might be; these biases and the behavioral consequences induced by them may influence the processing of images. In this report, we examine neural responses in inferotemporal cortex (IT) during the interpretation of ambiguous photographs created by morphing between two photographs. Monkeys classified different images as being one of two choices and learned to classify most of the samples correctly. For one image (the ambiguous sample) reward was administered randomly for either possible choice, and the monkeys were free to classify that image based on their own interpretation, with no learning possible. The ambiguous samples were not classified randomly: the monkey interpreted the samples differently during different sessions. The interpretation of the ambiguous sample was, in turn, highly correlated with the normalized response of individual neurons in IT to the ambiguous sample. If an ambiguous sample was interpreted as a particular choice during a session, the response to that ambiguous sample more closely resembled the response to that choice. Identical ambiguous images were interpreted differently during different sessions, and neural responses reflected the differing interpretations of the image during that session. The relationship between the interpretation of the image and neural responses strengthened over the course of a session because neural responses shifted to more closely resemble the response to the initial interpretation of the image. The data support a flexible representation of visual stimuli in higher visual areas.
Native Mass Spectrometry as a Tool in Structural Biology

Native mass spectrometry (native MS) gives information about the composition, topological arrangements, dynamics, and structural properties of protein complexes. The mass range is principally unlimited and highly dynamic, allowing the detection of small subunits and large complexes within the same measurement. The amount of protein needed for an analysis is, compared to most other structural biology methods, very low. This unit provides an introduction to native MS. It starts with an explanation of the basic method and details on how to measure intact proteins and protein complexes, and continues with the study of dynamics and complex stability in the gas phase. The final section discusses the most recent extension to the native MS field, ion mobility, which allows the direct assessment of the structural properties of the complexes of interest. Curr. Protoc. Protein Sci. 62:17.12. 1‐17.12. 17. © 2010 by John Wiley & Sons, Inc.