Miracle-dz/UniFAR-FTUs huggingface dataset:
Intensive care, survival, and expense of treating critically ill cancer patients.

OBJECTIVE To determine the survival and factors affecting the survival of patients with solid tumors and hematologic cancers who were admitted to the intensive care unit, the time these patients spent at home (meaningful survival) before they died, and the cost per year of life gained and per year of life gained at home. DESIGN Survival and cost-effectiveness analysis. SETTING A tertiary-care cancer center at a university medical center. PATIENTS Every patient admitted to the intensive care unit between July 1, 1988, and June 30, 1990, was entered into the study. This group comprised 83 patients with solid tumors and 64 patients with hematologic cancers. MAIN OUTCOME MEASURES Factors affecting survival, such as age, sex, malignancy, length of stay in the intensive care unit, and necessity for mechanical ventilator assistance, as well as cost per year of life gained and cost per year of life gained at home. RESULTS The only factor that significantly affected survival was the requirement for mechanically assisted ventilation for patients with hematologic cancers. More than three fourths of the patients in either group spent less than 3 months at home before dying. The cost per year of life gained for patients with solid tumors was $82,845 and for patients with hematologic cancers was $189,339. The cost per year of life gained at home was $95,142 for patients with solid tumors and $449,544 for patients with hematologic cancers. CONCLUSION The majority of patients with solid tumors and hematologic cancers admitted to the intensive care unit die before discharge, or, if they survive the hospital admission, they spend a minimal amount of time at home before dying. This limited survival is achieved at considerable cost. Physicians who treat patients with neoplastic disease should discuss potential outcomes and the possibility of withdrawing life-supportive therapy if appropriate with the patient and family, so that a reasonable strategy can be agreed on before the initiation of therapy.
A construction and implementation of distributed pollution-free agricultural products certification workflow system

For the key issue of quality and safety certification of pollution-free agricultural product, this paper mainly researches on the integration work process of pollution-free agricultural product area identification and product certification. It adopts the central distributed topology structure, constructs workflow domains of central node and distributed nodes. Applying the workflow and web services technology, it establishes semi-centralized and semi-distributed workflow management system of pollution-free agricultural product certification. This distribution represents that the active instance object distributed at two-level domains of workflow, and the execution server of workflow in the two-level domains of workflow completes the certification business mutually through the interfaces of web services. Though the application of this system in Henan Province and Ministry of Agriculture, it achieves effective management of certification information between the declaration corporation and certification institution, and implements cooperation of cross-sectoral and cross-boundary teamwork. It realizes whole process and full range electronic management for the pollution-free agricultural products certification, thus the research foreshows a good promotion prospect of application and extension.
Industrial Subsidies in OECD Countries , 1989-1995

Subsidies have become increasingly important tools of industrial policy due to the gradual liberalization of trade and finance since the 1960s. Still, there is considerable variation in subsidy levels in industrialized countries. In this paper, I seek to explain the variation in the levels of industrial subsidies among OECD countries in the period 1989-1995. I test the impact of both domestic political and economic factors and international constraints on the level of subsidies. The results indicate that higher unemployment leads to higher levels of subsidies, while increased exposure to international trade and EU membership is associated with lower levels of subsidies. Contrary to theoretical expectations, leftist governments and upcoming elections are associated with lower levels of subsidies.
Estimation of nitrogen uptake in tomato variety srijana by spad meter under greenhouse condition

Nitrogen has direct role on development and yield of crops. With an objective to find out the best treatment combination for nitrogen uptake, this research was conducted using ten different treatments with five replications in RCBD design. The treatments were T1 (Control), T2 (2% compost added), T3 (2% compost + NPK full dose), T4 (T3+ Biochar @ 4t/ha), T5 (T2 + biochar @ 4t/ha + 50ml cattle urine per pot), T6 (T2 + biochar @ 4t/ha + 50ml cattle urine at hotspot), T7 (T3 + 8t/ha biochar), T8 (T5 at 8t/ha biochar), T9 (T6 at 8t/ha biochar), T10 ( compost at 4%). Srijana variety of tomato was used for this research. Observations were made for Soil Plant Analysis Development (SPAD) reading, plant height, number of fruits, fruit yield and soil nitrogen content and the obtained data were analyzed using Analysis of Variance (ANOVA). SPAD reading showed a non-significant variation among the treatments. The correlation between SPAD readings and total nitrogen in soil was found statistically non significant and least positively correlated. Highest mean value of plant height was obtained from T2 of 1-7.03cm. T3 gave the highest number of fruits of 68. There was significant difference on total fruit yield having T10 the highest fruit yielding treatment of 1.523kg. There was high significant difference on total soil nitrogen and most of the soil had total nitrogen content ranging from high to medium with T1 having lowest nitrogen content
Anaplasma phagocytophilum—a widespread multi-host pathogen with highly adaptive strategies

The bacterium Anaplasma phagocytophilum has for decades been known to cause the disease tick-borne fever (TBF) in domestic ruminants in Ixodes ricinus-infested areas in northern Europe. In recent years, the bacterium has been found associated with Ixodes-tick species more or less worldwide on the northern hemisphere. A. phagocytophilum has a broad host range and may cause severe disease in several mammalian species, including humans. However, the clinical symptoms vary from subclinical to fatal conditions, and considerable underreporting of clinical incidents is suspected in both human and veterinary medicine. Several variants of A. phagocytophilum have been genetically characterized. Identification and stratification into phylogenetic subfamilies has been based on cell culturing, experimental infections, PCR, and sequencing techniques. However, few genome sequences have been completed so far, thus observations on biological, ecological, and pathological differences between genotypes of the bacterium, have yet to be elucidated by molecular and experimental infection studies. The natural transmission cycles of various A. phagocytophilum variants, the involvement of their respective hosts and vectors involved, in particular the zoonotic potential, have to be unraveled. A. phagocytophilum is able to persist between seasons of tick activity in several mammalian species and movement of hosts and infected ticks on migrating animals or birds may spread the bacterium. In the present review, we focus on the ecology and epidemiology of A. phagocytophilum, especially the role of wildlife in contribution to the spread and sustainability of the infection in domestic livestock and humans.
Functional defect of peripheral neutrophils in mice with induced deletion of CXCR2

Type 2 CXC chemokine receptor CXCR2 plays roles in development, tumorigenesis, and inflammation. CXCR2 also promotes demyelination and decreases remyelination by actions toward hematopoietic cells and nonhematopoietic cells. Germline CXCR2 deficient (Cxcr2‐/‐) mice reported in 1994 revealed the complexity of CXCR2 function and its differential expression in varied cell‐types. Here, we describe Cxcr2fl/fl mice for which the targeting construct was generated by recombineering based on homologous recombination in E. coli. Without recombination Cxcr2fl/fl mice have CXCR2 expression on neutrophils in peripheral blood, bone marrow and spleen. Cxcr2fl/fl mice were crossed to Mx‐Cre mice in which Cre recombinase is induced by Type I interferons, elicited by injection with polyinosinic‐polycytidylic acid (poly(I:C)). CXCR2‐deficient neutrophils were observed in poly(I:C) treated Cxcr2fl/fl::Mx‐Cre+ (Cxcr2‐CKO) mice, but not in poly(I:C) treated Cxcr2f//+::Mx‐Cre+ mice. CXCR2 deletion was mainly observed peripherally but not in the CNS. Cxcr2‐CKO mice showed impaired neutrophil migration in sterile peritonitis. Cxcr2‐CKO mice reported here will provide a genetic reagent to dissect roles of CXCR2 in the neutrophil granulocyte lineage. Furthermore Cxcr2fl/fl mice will provide useful genetic models to evaluate CXCR2 function in varied cell populations. genesis 51:587–595. © 2013 Wiley Periodicals, Inc.
Inverse Circumscription

Inverse (or identification) problems involve deciding whether or not an explicitly given set of data points have an implicit description, for instance, in the form of a constraint network. Such problems provide insight into the relationships among various representations of knowledge, which may have differing computational properties. This paper formalizes and studies the inverse circumscription problem, which (roughly speaking) is to decide, given a set of models, if there exists a formula whose circumscription describes the input set.
ATP-Dependent Localization of the Herpes Simplex Virus Capsid Protein VP26 to Sites of Procapsid Maturation

ABSTRACT The herpes simplex virus type 1 (HSV-1) capsid shell is composed of four major polypeptides, VP5, VP19c, VP23, and VP26. VP26, a 12-kDa polypeptide, is associated with the tips of the capsid hexons formed by VP5. Mature capsids form upon angularization of the shell of short-lived, fragile spherical precursors termed procapsids. The cold sensitivity and short-lived nature of the procapsid have made its isolation and biochemical analysis difficult, and it remains unclear whether procapsids contain bound VP26 or whether VP26 is recruited following shell angularization. By indirect immunocytochemical analysis of virally expressed VP26 and by direct visualization of a transiently expressed VP26-green fluorescent protein fusion, we show that VP26 fails to specifically localize to intranuclear procapsids accumulated following incubation of the temperature-sensitive HSV mutanttsProt.A under nonpermissive conditions. However, following a downshift to the permissive temperature, which allows procapsid maturation to proceed, VP26 was seen to concentrate at intranuclear sites which also contained epitopes specific to mature, angularized capsids. Like the formation of these epitopes, the association of VP26 with maturing capsids was blocked in a reversible fashion by the depletion of intracellular ATP. We conclude that unlike the other major capsid shell proteins, VP26 is recruited in an ATP-dependent fashion after procapsid maturation begins.
Party System Institutionalization and Party System Theory: After the Third Wave of Democratization

The overarching argument of this paper is that the party systems of less developed countries are less institutionalized than those of the advanced industrial democracies. The paper examines three differences between the party systems of the advanced industrial democracies and party systems of less developed countries. First, we show that most democracies and semi-democracies in less developed countries have much higher electoral volatility than the advanced industrial democracies. Second, much of the literature on parties and party systems assumes the context of institutionalized party systems with strong party roots in society and further presupposes that programmatic or ideological linkages are at the root of the stable linkages between voters and parties. In the party systems of most democracies and semi-democracies in less developed countries, programmatic or ideological linkages between voters and parties are weaker. Third, linkages between voters and candidates are more personalistic in less developed countries than in the advanced industrial democracies.
Space-time structure of heavy rainfall events: application to the Cévennes-Vivarais region.

The thesis is devoted to the characterization of the space-time structure of heavy rainfall events in the Cevennes-Vivarais area (France). The region is prone to catastrophic storms whose magnitude governs social and economic consequences at different space and time scales. The magnitude of an event cannot be univocally related to a probability of occurrence. The determination of the occurrence probability of storms is problematic because of their extreme character, of their complex space-time development and of the lack of rainfall data at the spatial and temporal scales of interest. We propose to adopt scale-invariant approaches in order to estimate the heavy rainfall frequency assessment. These approaches allow to extrapolate the high resolution rainfall distribution based on low resolution rainfall intensity data. The model estimation being heavily dependent of the data accuracy, the first step consists in the characterization of the error committed in the point and spatial rainfall estimated by tipping-bucket raingage networks. We then explore the extreme rainfall behavior in the region, detecting the range where extremes are scale-invariant. In this range, we present a regional Intensity-Duration-Frequency model for point rainfall maxima taking into account the heterogeneity of extremes in the region. We demonstrate that the rainfall network does not allow to detect scale-invariant properties of extreme rainfall fields, and then we adopt a semi-empirical method based on the concept of « dynamic scaling » to build regional Intensity-Duration-Area-Frequency curves. Finally, we apply this model for the determination of the severity diagrams for three significant storms in the Cevennes-Vivarais region, with the aim to identify the critical space-time scales of each event. Based on severity diagrams, we then evaluate, for the same events, the performances of a mesoscale meteorological model.
Novel mechanism(s) of resistance to 5-fluorouracil in human colon cancer (HCT-8) sublines following exposure to two different clinically relevant dose schedules.

Mechanisms of resistance to 5-fluorouracil (FUra) were compared between a cell line resistant to a short-term exposure (4 h) to this agent (HCT-8/FU4hR) and a cell line resistant to a prolonged exposure (7 days) to the fluoropyrimidine (HCT-8/FU7dR). The two cell lines were obtained by repeatedly exposing 2 x 10(5) cells to a constant concentration of FUra (1000 microM for 4 h or 15 microM for 7 days), able to produce 3-4 logs of cell kill. HCT-8/FU4hR cells were still sensitive to FUra given as a 7-day exposure, suggesting different mechanisms of resistance. In addition, HCT-8/FU7dR cells were cross-resistant to fluorodeoxyuridine and, to a lesser degree, methotrexate; while HCT-8/FU4dR cells were not. Both HCT-8/FU4hR and HCT-8/FU7dR cells were similar to parental HCT-8 cells with regard to uptake of FUra as well as the pattern of FUra-metabolizing and FUra target enzymes. Although neither in situ thymidylate synthase (TS) activity nor the degree of its inhibition by FUra showed any evidence of alteration in HCT-8/FU7dR cells, a rapid recovery of TS activity after drug removal was evident in this cell line. The addition of as much as 100 microM leucovorin did not completely inhibit the recovery of thymidylate synthesis after FUra exposure. No differences were detected in the kinetic properties (Km for 2'-deoxyuridylate and 5,10-methylenetetrahydrofolate, concentration producing 50% inhibition for fluorodeoxyuridylate) or TS from HCT-8/FU7dR cells as compared to parental HCT-8 TS. Baseline levels of 5,10 methylenetetrahydrofolate were decreased in HCT-8/FU7dR cells, and analysis of the chain length distribution of the polyglutamylated form of the folate cofactor showed that in this cell line the defect in 5,10-methylenetetrahydrofolate levels is accompanied by, and possibly due to, a defect in the polyglutamylation of this cofactor. In contrast, HCT-8/FU4hR cells were similar to the parental cell line with regard to both the degree of in situ TS inhibition by FUra and duration of inhibition after FUra removal. Labeling studies with [3H-6]FUra (4 h exposure, 100 microM) showed that the incorporation of the fluoropyrimidine into RNA is significantly decreased in HCT-8/FU4hR cells as compared to parental HCT-8 cells. (ABSTRACT TRUNCATED AT 400 WORDS)
A Joint-Angle Estimation Method for Industrial Manipulators Using Inertial Sensors

This paper focuses on the use of low-cost inertial sensors in industrial manipulators. In particular, an easy-to-install joint-angle estimation method is proposed. This scheme can work independently from the primary encoder-based sensor, for the creation of a fault-detection system. It can also be the primary joint-angle sensor in low-cost robotic manipulators. A robot with six degrees of freedom has been used, with three inertial measurement units set on its arms; one for each pair of joints. Three cascaded extended Kalman filters have been used to estimate the joint angles by the fusion of the outputs of triaxial gyroscopes and accelerometers. The results of three experimental tests are reported in order to show the performance and limitations of this approach, in comparison with the simple gyroscope measurements integration.
Feature Space Transformation for Better Understanding Biological and Medical Classifications

Recently published gene expression profiles and proteomic mass/charge ratios are extremely high-dimensional data. Though support vector machines can well learn the inner relationship of the data for classification, the non-linear kernel functions pose an obstacle to explain the prediction reasons to non-specialists. In this paper, we study the problem of feature space transformation for easy interpretability of classification results. Each new feature is a combination of multiple original features provided that the new feature captures a large percentage of one class of data, but sharply discriminates the data in the other class. Under the description of new features, training or test data are clearly class-separable. We also discuss a more sophisticated rule-based method, called PCL, for classification. PCL provides easily explainable classification scores for us to better understand the predictions and the test data themselves. Visualization is also used to enhance the understanding of the classifier output. We use rich examples to demonstrate our main points. ACM Classification: 1.2 (Artificial Intelligence), J.3 (Life and Medical Sciences)
Finding undetected protein associations in cell signaling by belief propagation

External information propagates in the cell mainly through signaling cascades and transcriptional activation, allowing it to react to a wide spectrum of environmental changes. High-throughput experiments identify numerous molecular components of such cascades that may, however, interact through unknown partners. Some of them may be detected using data coming from the integration of a protein–protein interaction network and mRNA expression profiles. This inference problem can be mapped onto the problem of finding appropriate optimal connected subgraphs of a network defined by these datasets. The optimization procedure turns out to be computationally intractable in general. Here we present a new distributed algorithm for this task, inspired from statistical physics, and apply this scheme to alpha factor and drug perturbations data in yeast. We identify the role of the COS8 protein, a member of a gene family of previously unknown function, and validate the results by genetic experiments. The algorithm we present is specially suited for very large datasets, can run in parallel, and can be adapted to other problems in systems biology. On renowned benchmarks it outperforms other algorithms in the field.
Present and New Treatment Strategies in the Management of Glaucoma

Glaucoma is a neurodegenerative disease characterized by retinal ganglion cell (RGC) death and axonal loss. It remains a major cause of blindness worldwide. All current modalities of treatment are focused on lowering intraocular pressure (IOP), and it is evident that increased IOP is an important risk factor for progression of the disease. However, it is clear that a significant number of glaucoma patients show disease progression despite of pressure lowering treatments. Much attention has been given to the development of neuroprotective treatment strategies, but the identification of such has been hampered by lack of understanding of the etiology of glaucoma. Hence, in spite of many attempts no neuroprotective drug has yet been clinically approved. Even though neuroprotection is without doubt an important treatment strategy, many glaucoma subjects are diagnosed after substantial loss of RGCs. In this matter, recent approaches aim to rescue RGCs and regenerate axons in order to restore visual function in glaucoma. The present review seeks to provide an overview of the present and new treatment strategies in the management of glaucoma. The treatment strategies are divided into current available glaucoma medications, new pressure lowering targets, prospective neuroprotective interventions, and finally possible neuroregenrative strategies.
Carbon flux rerouting during Mycobacterium tuberculosis growth arrest

A hallmark of the Mycobacterium tuberculosis life cycle is the pathogen's ability to switch between replicative and non‐replicative states in response to host immunity. Transcriptional profiling by qPCR of ∼ 50 M. tuberculosis genes involved in central and lipid metabolism revealed a re‐routing of carbon flow associated with bacterial growth arrest during mouse lung infection. Carbon rerouting was marked by a switch from metabolic pathways generating energy and biosynthetic precursors in growing bacilli to pathways for storage compound synthesis during growth arrest. Results of flux balance analysis using an in silico metabolic network were consistent with the transcript abundance data obtained in vivo. Similar transcriptional changes were seen in vitro when M. tuberculosis cultures were treated with bacteriostatic stressors under different nutritional conditions. Thus, altered expression of key metabolic genes reflects growth rate changes rather than changes in substrate availability. A model describing carbon flux rerouting was formulated that (i) provides a coherent interpretation of the adaptation of M. tuberculosis metabolism to immunity‐induced stress and (ii) identifies features common to mycobacterial dormancy and stress responses of other organisms.