Miracle-dz/UniFAR-FTUs huggingface dataset:
Percutaneous Transhepatic Balloon Dilation of Biliary-Enteric Anastomotic Strictures after Surgical Repair of Iatrogenic Bile Duct Injuries

Purpose To evaluate the efficacy of percutaneous balloon dilation of biliary-enteric anastomotic strictures resulting from surgical repair of laparoscopic cholecystectomy-related bile duct injuries. Material and Methods A total of 61 patients were referred to our institution from 1995 to 2010 for treatment of obstruction at the biliary-enteric anastomosis following surgical repair of laparoscopic cholecystectomy-related bile duct injuries. Of these 61 patients, 27 underwent surgical revision upon stricture diagnosis, and 34 patients were managed using balloon dilation. Of these 34 patients, 2 were lost to follow up, leaving 32 patients for analysis. The primary study objective was to determine the clinical success rate of balloon dilation of biliary-enteric anastomotic strictures. Secondary study objectives included determining anastomosis patency, rates of stricture recurrence following treatment, and morbidity. Results Balloon dilation of biliary-enteric anastomotic strictures was clinically successful in 21 of 32 patients (66%). Anastomotic stricture recurred in one of 21 patients (5%) after an average of 13.1 years of follow-up. Patients who were unsuccessfully managed with balloon dilation required significantly more invasive procedures (6.8 v. 3.4; p = 0.02) and were left with an indwelling biliary catheter for a significantly longer period of time (8.8 v. 2.0 months; p = 0.02) than patients whose strictures could be resolved by balloon dilation. No significant differences in the number of balloon dilations performed (p = 0.17) or in the maximum balloon diameter used (p = 0.99) were demonstrated for patients with successful or unsuccessful balloon dilation outcomes. Conclusion Percutaneous balloon dilation of anastomotic biliary strictures following surgical repair of laparoscopic cholecystectomy-related injuries may result in lasting patency of the biliary-enteric anastomosis.
Knowledge Discovery from Big Social Key-Value Data

High volumes of a wide variety of valuable data can be easily collected and generated from a broad range of data sources of different veracities at a high velocity. In the current era of big data, many traditional data management and analytic approaches may not be suitable for handling the big data due to their well-known 5V's characteristics. Over the past few years, several systems and applications have developed to use cluster, cloud or grid computing to manage and analyze big data so as to support data science (e.g., knowledge discovery and data mining). In this paper, we present a knowledge-based system for social network analysis so as to support big data mining of interesting patterns from big social networks that are represented in the form of key-value pairs.
Supervised term weighting for automated text categorization

The construction of a text classifier usually involves (i) a phase of term selection, in which the most relevant terms for the classification task are identified, (ii) a phase of term weighting, in which document weights for the selected terms are computed, and (iii) a phase of classifier learning, in which a classifier is generated from the weighted representations of the training documents. This process involves an activity of supervised learning, in which information on the membership of training documents in categories is used. Traditionally, supervised learning enters only phases (i) and (iii). In this paper we propose instead that learning from training data should also affect phase (ii), i.e. that information on the membership of training documents to categories be used to determine term weights. We call this idea supervised term weighting (STW). As an example, we propose a number of "supervised variants" of t f idf weighting, obtained by replacing the idf function with the function that has been used in phase (i) for term selection. We present experimental results obtained on the standard Reuters-21578 benchmark with one classifier learning method (support vector machines), three term selection functions (information gain, chi-square, and gain ratio), and both local and global term selection and weighting.
Short text classification based on strong feature thesaurus

Data sparseness, the evident characteristic of short text, has always been regarded as the main cause of the low accuracy in the classification of short texts using statistical methods. Intensive research has been conducted in this area during the past decade. However, most researchers failed to notice that ignoring the semantic importance of certain feature terms might also contribute to low classification accuracy. In this paper we present a new method to tackle the problem by building a strong feature thesaurus (SFT) based on latent Dirichlet allocation (LDA) and information gain (IG) models. By giving larger weights to feature terms in SFT, the classification accuracy can be improved. Specifically, our method appeared to be more effective with more detailed classification. Experiments in two short text datasets demonstrate that our approach achieved improvement compared with the state-of-the-art methods including support vector machine (SVM) and Naïve Bayes Multinomial.
Cryoelectron Microscopy of Protein IX-Modified Adenoviruses Suggests a New Position for the C Terminus of Protein IX

ABSTRACT Recombinant human adenovirus is a useful gene delivery vector for clinical gene therapy. Minor capsid protein IX of adenovirus has been of recent interest since multiple studies have shown that modifications can be made to its C terminus to alter viral tropism or add molecular tags and/or reporter proteins. We examined the structure of an engineered adenovirus displaying the enhanced green fluorescent protein (EGFP) fused to the C terminus of protein IX. Cryoelectron microscopy and reconstruction localized the C-terminal EGFP fusion between the H2 hexon and the H4 hexon, positioned between adjacent facets, directly above the density previously assigned as protein IIIa. The original assignment of IIIa was based largely on indirect evidence, and the data presented herein support the reassignment of the IIIa density as protein IX.
Trade Costs, Pricing to Market, and International Relative Prices

We extend some of the recently developed models of international trade to study their implications for the main features of the fluctuations in the relative producer and consumer prices of tradeable and traded goods observed in the data. We find that when our model is parameterized to match some of the main features of the data on trade volumes both at the aggregate and firm level and to have reasonable implications for both the concentration of production among producers in a market and the distribution of markups of price over marginal cost, it reproduces many of the main features of the data on the fluctuations in the relative producer and consumer prices of tradeable and traded goods. We then use this model to assess the extent to which international trade costs and imperfect competition with pricing to market play essential roles in accounting for these price data. We find that international trade costs play an essential role in our model in accounting for the behavior of both producer and consumer prices for tradeable and traded goods. We find that imperfect competition with pricing to market plays an essential role in accounting for the behavior of producer prices for tradeable and traded goods, but it plays only a minor role in accounting for the behavior of consumer prices of tradeable goods. ∗Very preliminary and incomplete. Please check the authors’ websites for more up to date versions of this paper. †We thank V.V. Chari and Marc Melitz for very useful comments and Ricardo Pasquini and Sergio Xavier for excellent research assistance. ‡UCLA, Federal Reserve Bank of Minneapolis, and NBER. §UCLA.
Background Subtraction via generalized fused lasso foreground modeling

Background Subtraction (BS) is one of the key steps in video analysis. Many background models have been proposed and achieved promising performance on public data sets. However, due to challenges such as illumination change, dynamic background etc. the resulted foreground segmentation often consists of holes as well as background noise. In this regard, we consider generalized fused lasso regularization to quest for intact structured foregrounds. Together with certain assumptions about the background, such as the low-rank assumption or the sparse-composition assumption (depending on whether pure background frames are provided), we formulate BS as a matrix decomposition problem using regularization terms for both the foreground and background matrices. Moreover, under the proposed formulation, the two generally distinctive background assumptions can be solved in a unified manner. The optimization was carried out via applying the augmented Lagrange multiplier (ALM) method in such a way that a fast parametric-flow algorithm is used for updating the foreground matrix. Experimental results on several popular BS data sets demonstrate the advantage of the proposed model compared to state-of-the-arts.
A quantitative way to estimate clinical off-target effects for human membrane brain targets in CNS research and development

Although many preclinical programs in central nervous system research and development intend to develop highly selective and potent molecules directed at the primary target, they often act upon other off-target receptors. The simple rule of taking the ratios of affinities for the candidate drug at the different receptors is flawed since the affinity of the endogenous ligand for that off-target receptor or drug exposure is not taken into account. We have developed a mathematical receptor competition model that takes into account the competition between active drug moiety and the endogenous neurotransmitter to better assess the off-target effects on postsynaptic receptor activation under the correct target exposure conditions. As an example, we investigate the possible functional effects of the weak off-target effects for dopamine-1 receptor (D1R) in a computer simulation of a dopaminergic cortical synapse that is calibrated using published fast-cyclic rodent voltammetry and human imaging data in subjects with different catechol-O-methyltransferase genotypes. We identify the conditions under which off-target effects at the D1R can lead to clinically detectable consequences on cognitive tests, such as the N-back working memory test. We also demonstrate that certain concentrations of dimebolin (Dimebon), a recently tested Alzheimer drug, can affect D1R activation resulting in clinically detectable cognitive decrease. This approach can be extended to other receptor systems and can improve the selection of clinical candidate compounds by potentially dialing-out harmful off-target effects or dialing-in beneficial off-target effects in a quantitative and controlled way.
Alterations of the p53 gene in Epstein-Barr virus-associated immunodeficiency-related lymphomas

Mutations of the p53 tumor suppressor gene are among the most common genetic alterations found in many different human malignancies, including those of the colon, lung, and breast. Alterations in wild-type p53 lead to loss of the suppressor function and thus contribute to tumorigenesis. The potential role of p53 mutations in a sampling of B-cell lymphomas, the majority of which were associated with Epstein-Barr virus (EBV), was investigated. Twenty-six biopsy specimens from immunocompromised patients, including allograft recipients and patients with AIDS, Wiscott-Aldrich syndrome, and human T-cell leukemia virus type 1 infection, in comparison with three Burkitt lymphomas and four Burkitt lymphoma cell lines were analyzed. Mutation in p53 was detected in all four Burkitt lymphoma cell lines as well as the three Burkitt lymphoma biopsy specimens. In patients with AIDS, 5 of 10 lymphomas were EBV positive, and 1 had a mutation in p53. Mutation in p53 was not detected in 14 EBV-positive lymphomas which arose in transplant recipients. These data indicate that with the exception of Burkitt lymphomas, p53 mutations are not involved in the majority EBV-positive B-cell lymphomas which develop in immunocompromised patients.
Components of the Composing Process.

Two YEARS AGO, in a meeting of the Freshman English Committee at my university, a controversy arose over the validity of our requiring in-class themespapers which students write within the time limit of the fifty-minute class period. A colleague mentioned that the in-class themes done by his freshmen are often of better quality than those written outside of class. Another member of the committee retorted, "That's because the kids spend more time on the in-class themes. " That remark startled me at the time.
Abstract answer set solvers with backjumping and learning

Abstract Nieuwenhuis et al. (2006. Solving SAT and SAT modulo theories: From an abstract Davis-Putnam-Logemann-Loveland procedure to DPLL(T). Journal of the ACM 53(6), 937977 showed how to describe enhancements of the Davis–Putnam–Logemann–Loveland algorithm using transition systems, instead of pseudocode. We design a similar framework for several algorithms that generate answer sets for logic programs: smodels, smodelscc, asp-sat with Learning (cmodels), and a newly designed and implemented algorithm sup. This approach to describe answer set solvers makes it easier to prove their correctness, to compare them, and to design new systems.
Genome-Wide Gene Expression Profiling Revealed a Critical Role for GATA3 in the Maintenance of the Th2 Cell Identity

Functionally polarized CD4+ T helper (Th) cells such as Th1, Th2 and Th17 cells are central to the regulation of acquired immunity. However, the molecular mechanisms governing the maintenance of the polarized functions of Th cells remain unclear. GATA3, a master regulator of Th2 cell differentiation, initiates the expressions of Th2 cytokine genes and other Th2-specific genes. GATA3 also plays important roles in maintaining Th2 cell function and in continuous chromatin remodeling of Th2 cytokine gene loci. However, it is unclear whether continuous expression of GATA3 is required to maintain the expression of various other Th2-specific genes. In this report, genome-wide DNA gene expression profiling revealed that GATA3 expression is critical for the expression of a certain set of Th2-specific genes. We demonstrated that GATA3 dependency is reduced for some Th2-specific genes in fully developed Th2 cells compared to that observed in effector Th2 cells, whereas it is unchanged for other genes. Moreover, effects of a loss of GATA3 expression in Th2 cells on the expression of cytokine and cytokine receptor genes were examined in detail. A critical role of GATA3 in the regulation of Th2-specific gene expression is confirmed in in vivo generated antigen-specific memory Th2 cells. Therefore, GATA3 is required for the continuous expression of the majority of Th2-specific genes involved in maintaining the Th2 cell identity.
Respiratory intensive care units in Italy: a national census and prospective cohort study

BACKGROUND In Italy, respiratory intensive care units (RICUs) provide an intermediate level of care between the intensive care unit (ICU) and the general ward for patients with single organ respiratory failure. Because of the lack of official epidemiological data in these units, a two phase study was performed with the aim of describing the work profile in Italian RICUs. METHODS A national survey of RICUs was conducted from January to March 1997 using a questionnaire which comprised over 30 items regarding location, models of service provision, staff, and equipment. The following criteria were necessary for inclusion of a unit in the survey: (1) a nurse to patient ratio ranging from 1:2.5 to 1:4 per shift; (2) availability of adequate continuous non-invasive monitoring; (3) expertise for non-invasive ventilation (NIV) and for intubation in case of NIV failure; (4) physician availability 24 hours a day. Between November 1997 and January 1998 a 3 month prospective cohort study was performed to survey the patient population admitted to the RICUs. RESULTS Twenty six RICUs were included in the study: four were located in rehabilitation centres and 22 in general hospitals. In most, the reported nurse to patient ratio ranged from 1:2 to 1:3, with 36% of units reporting a ratio of 1:4 per shift. During the study period 756 consecutive patients of mean (SD) age 68 (12) years were admitted to the 26 RICUs. The highest proportion (47%) were admitted from emergency departments, 19% from other medical wards, 18% were transferred from the ICU, 13% from specialist respiratory wards, and 2% were transferred following surgery. All but 32 had respiratory failure on admission. The reasons for admission to the RICU were: monitoring for expected clinical instability (n=221), mechanical ventilation (n=473), and weaning (n=59); 586 patients needed mechanical ventilation during their stay in the RICU, 425 were treated with non-invasive techniques as a first line of treatment (374 by non-invasive positive pressure, 51 by iron lung), and 161 underwent invasive mechanical ventilation (63 intubated, 98 tracheostomies). All but 48 patients had chronic respiratory disease, mainly chronic obstructive pulmonary disease (COPD; n=451). More than 70% of patients (n=228) had comorbidity, mainly consisting of heart disorders. The median APACHE II score was 18 (range 1–43). The predicted inpatient mortality risk rate according to the APACHE II equation was 22.1% while the actual inpatient mortality rate was 16%. The mean length of stay in the RICU was 12 (11) days. The outcome in most patients (79.2%) admitted to RICUs was favourable. CONCLUSIONS Italian RICUs are specialised units mainly devoted to the monitoring and treatment of acute on chronic respiratory failure by non-invasive ventilation, but also to weaning from invasive mechanical ventilation. The results of this study provide a useful insight into an increasingly important field of respiratory medicine.
Inhibitory effects of curcumin on passive cutaneous anaphylactoid response and compound 48/80-induced mast cell activation

Mast cells participate in allergies and inflammation by secreting a variety of pro-inflammatory mediators. Curcumin, the active component of turmeric, is a polyphenolic phytochemical with anti-tumor, anti-inflammatory, anti-oxidative, and anti-allergic properties. The effects of curcumin on compound 48/80-induced mast cell activation and passive cutaneous anaphylactoid reactions are unknown. In this report, we investigated the influences of curcumin on the passive cutaneous anaphylactoid response in vivo and compound 48/80-induced mast cell activation in vitro. The mechanism of action was examined by calcium uptake measurements and cAMP assays in mast cells. Curcumin significantly attenuated the mast cell-mediated passive cutaneous anaphylactoid reaction in an animal model. In agreement with this in vivo activity, curcumin suppressed compound 48/80-induced rat peritoneal mast cell (RPMC) degranulation and histamine release from RPMCs. Moreover, compound 48/80-elicited calcium uptake into RPMCs was reduced in a dose-dependent manner by curcumin. Furthermore, curcumin increased the level of intracellular cAMP and significantly inhibited the compound 48/80-induced reduction of cAMP in RPMCs. These results corroborate the finding that curcumin may have anti-allergic activity.
Dermoscopy of angioma serpiginosum: a case report

Angioma serpiginosum (AS) is an uncommon vascular nevus involving the superficial capillaries. It is characterized by progressive proliferation of ectatic capillaries in the papillary and upper dermis. Beginning in childhood, it usually stabilizes in adulthood after the initial growth and sometimes completely or partially regresses. Females are more affected, and lesions are predominantly distributed over the lower limbs or buttocks grouped in serpiginous or linear arrangement. Sometimes, the distribution of lesions may even be reminiscent of the lines of Blaschko. The most important histopathological finding is the presence of dilated and tortuous capillaries in the papillary dermis. We present a case of AS with linear distribution accompanying dermoscopic findings as red lagoons and comma hairpin vessels.
Mean-field models for heterogeneous networks of two-dimensional integrate and fire neurons

We analytically derive mean-field models for all-to-all coupled networks of heterogeneous, adapting, two-dimensional integrate and fire neurons. The class of models we consider includes the Izhikevich, adaptive exponential and quartic integrate and fire models. The heterogeneity in the parameters leads to different moment closure assumptions that can be made in the derivation of the mean-field model from the population density equation for the large network. Three different moment closure assumptions lead to three different mean-field systems. These systems can be used for distinct purposes such as bifurcation analysis of the large networks, prediction of steady state firing rate distributions, parameter estimation for actual neurons and faster exploration of the parameter space. We use the mean-field systems to analyze adaptation induced bursting under realistic sources of heterogeneity in multiple parameters. Our analysis demonstrates that the presence of heterogeneity causes the Hopf bifurcation associated with the emergence of bursting to change from sub-critical to super-critical. This is confirmed with numerical simulations of the full network for biologically reasonable parameter values. This change decreases the plausibility of adaptation being the cause of bursting in hippocampal area CA3, an area with a sizable population of heavily coupled, strongly adapting neurons.
Optimal allocation of FACTS devices with multiple objectives achieved by bacterial swarming algorithm

In this paper, flexible AC transmission system (FACTS) devices are optimally allocated in a power network to achieve optimal power flow (OPF) solution. The location of FACTS devices and the setting of their control parameters are optimized by a bacterial swarming algorithm (BSA) to improve the performance of the power network. Two objective functions are simultaneously considered as the indexes of the system performance: maximization of system loadability in system security margin and minimization of total generation fuel cost. Four types of FACTS devices are modeled and incorporated in the OPF problem. Simulation studies are undertaken on a standard IEEE 30-bus test system. Results demonstrate that the steady state performance of the power system can be effectively enhanced due to the optimal allocation of multi-type FACTS devices.