Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemiluminescence Quantitative Immunohistochemical Determination of MRP2 in Liver Biopsies

Evaluation of protein expression in tissues and cells by electrophoretic and blotting techniques or by the quantification of the mRNA coding for the target protein is a common procedure in biochemistry research and clinical diagnoses. In this article, an alternative approach, based on an immunohistochemical procedure with chemiluminescent imaging detection, is described. The assay exploited the peculiar characteristics of the chemiluminescent detection of enzyme labels (high sensitivity and specificity, low background, easy quantification of the signal) for performing the direct, simple, and rapid quantitative evaluation of protein expression in tissues. When applied to the study of the levels of MRP2, a member of the human multidrug resistance-associated protein family, in samples obtained from formalin-fixed, paraffin-embedded liver biopsies, it allowed the reliable evaluation of the protein content of the tissue. Moreover, the analysis of clinical samples from patients with primary biliary cirrhosis under therapy with ursodeoxycholic acid gave results in line with those, previously reported in the literature, obtained with conventional protein expression analysis techniques.
Intraoperative Spinal Subarachnoid Hematoma in a Patient With Cervical Ossification of the Posterior Longitudinal Ligament

Study Design. Case report. Objective. To report a surgically treated case of cervical ossification of the posterior longitudinal ligament (OPLL), in which a spinal subarachnoid hematoma (SSAH) developed intraoperatively but was successfully treated. Summary of Background Data. Previous reports have indicated that trauma, lumbar puncture, vascular lesions such as arteriovenous malformation, neoplastic lesions, and coagulopathy can cause SSAH. To the best of our knowledge, there has been no report that describes the occurrence of SSAH during anterior decompression surgery of the cervical spine. Methods. A 52-year-old man with cervical myelopathy caused by OPLL underwent surgery for anterior decompression from C2/3 to C6/7. Immediately after the OPLL floating procedure, cerebrospinal fluid leakage and massive bleeding occurred at right edge of the OPLL at the C3–C4 level. After hemostasis, the dura mater at the C5–C6 levels bulged rapidly and became cyanotic. Intraoperative ultrasonographic images showed a high-intensity mass lesion on the ventral side of the spinal cord, indicating an intrathecal hematoma. Results. We incised the dura, found the hematoma under the intact arachnoid, and removed it. We then found that the bleeding occurred from the radicular artery along the right C4 root. After hemostasis, we performed anterior spine fusion from C2–C7. After surgery, the patient's myelopathy was improved, and no neurologic deficit related to the subarachnoid hematoma was found. Conclusion. This experience suggests that when anterior decompression surgery is performed for cervical OPLL patients, we should consider the possible occurrence of an SSAH. Intraoperative ultrasonography is a useful tool for detecting SSAHs.
Freeze‐fracture autoradiography of the red blood cell plasma membrane

A procedure for electron microscope autoradiography of red blood cell ghosts or their outer membrane leaflets is described: sheep erythrocytes, attached to positively charged mica, were either lysed and air‐dried, or freeze‐fractured ‘by hand’ and freeze‐dried. This was followed by shadowing and carbon replication; coating with photographic emulsion; exposure in darkness at 277 K; developing and fixation; carbon coating; floating off the mica and mounting on grids. Erythrocytes iodinated with 125I using the lactoperoxidase reaction were used as a test object. The efficiency of the procedure was found to be between 3·4% and 5·6%.
Modelling of a magnetic gear considering rotor eccentricity

This paper presents a new topology for high torque high performance permanent magnetic gear. The proposed topology is extensively studied thought series of simulations with ANSYS Maxwell, an electromagnetic solver based in finite element method. Parametric analysis provides a first geometry to be optimized, searching which variables are the most important to achieve high torque values and robustness for rotor eccentricities. After an optimum design is achieved, the confrontation of torque and the response of each design to a rotor displacement are studied. The final optimized permanent gear can deliver 147kNm/m3, with less interference to static eccentricities.
A Market Share Theorem

Many marketing models use variants of the relationship: Market share equals marketing effort divided by total marketing effort. Replacing marketing effort with its resulting “attraction,” the relationship is derived from the assumptions: (1) attraction is nonnegative, (2) equal attractions imply equal shares, and (3) a seller's share is affected the same if the attraction of any other seller increases a fixed amount.
Applied Regression Including Computing and Graphics

Looking Forward and Back. Introduction to Regression. Introduction to Smoothing. Bivariate Distributions. Two-Dimensional Plots. TOOLS. Simple Linear Regression. Introduction to Multiple Linear Regression. Three-Dimensional Plots. Weights and Lack-of-Fit. Understanding Coefficients. Relating Mean Functions. Factors and Interactions. Response Transformations. Diagnostics I: Curvature and Nonconstant Variance. Diagnostics II: Influence and Outliers. Predictor Transformations. Model Assessment. REGRESSION GRAPHICS. Visualizing Regression. Visualizing Regression with Many Predictors. Graphical Regression. LOGISTIC REGRESSION AND GENERALIZED LINEAR MODELS. Binomial Regression. Graphical and Diagnostic Methods for Logistic Regression. Generalized Linear Models. Appendix. References. Indexes.
A Hybrid Approach for Rapid Computation of Two-Dimensional Monostatic Radar Cross Section Problems With the Multilevel Fast Multipole Algorithm

This communication proposes a hybrid acceleration technique for the efficient computation of large two-dimensional monostatic radar cross section (RCS) problems with the multilevel fast multipole algorithm (MLFMA) for three-dimensional scattering objects. The described approach combines a spectral low-rank preconditioner with an efficient angular response computation based on a low-rank compression of the right-hand side matrix. In this communication the low-rank decomposition is done using the adaptive cross approximation (ACA), since conventional approaches are hardly applicable to large excitation matrices. The proposed technique turns out to be highly efficient and accurate for the solution of large 2D monostatic RCS problems involving 3D geometries.
Traffic Anomaly Analysis and Characteristics on a Virtualized Network Testbed

Network testbeds have been used for network measurement and experiments. In such testbeds, resources, such as CPU, memory, and I/O interfaces, are shared and virtualized to maximize node utility for many users. A few studies have investigated the impact of virtualization on precise network measurement and understood Internet traffic characteristics on virtualized testbeds. Although scheduling latency and heavy loads are reportedly affected in precise network measurement, no clear conditions or criteria have been established. Moreover, empirical-statistical criteria and methods that pick out anomalous cases for precise network experiments are required on userland because virtualization technology used in the provided testbeds is hardly replaceable. In this paper, we show that ‘oversize packet spacing’, which can be caused by CPU scheduling latency, is a major cause of throughput instability on a virtualized network testbed even when no significant changes occur in well-known network metrics. These are unusual anomalies on virtualized network environment. Empirical-statistical analysis results accord with results at previous work. If network throughput is decreased by the anomalies, we should carefully review measurement results. Our empirical approach enables anomalous cases to be identified. We present CPU availability as an important criterion for estimating the anomalies.
Glucose-limited fed-batch cultivation of Escherichia coli with computer-controlled fixed growth rate.

In this article the results of fed-batch cultivation of E. coli with computer-controlled growth rate μ < μ max are presented. The control law was developed assuming that the glucose-limited (s~const~0) quasi-steady-state growth was maintained during the fed-batch phase of the cultivation. The current pumping rate of the fresh glucose-salts medium was calculated from the amount of glucose fed into the fermentor up to the current moment
NXY-059 for acute ischemic stroke.

BACKGROUND NXY-059 is a free-radical-trapping agent that is neuroprotective in animal models of stroke. We tested whether it would reduce disability in humans after acute ischemic stroke. METHODS We conducted a randomized, double-blind, placebo-controlled trial involving 1722 patients with acute ischemic stroke who were randomly assigned to receive a 72-hour infusion of placebo or intravenous NXY-059 within 6 hours after the onset of the stroke. The primary outcome was disability at 90 days, as measured according to scores on the modified Rankin scale for disability (range, 0 to 5, with 0 indicating no residual symptoms and 5 indicating bedbound, requiring constant care). RESULTS Among the 1699 subjects included in the efficacy analysis, NXY-059 significantly improved the overall distribution of scores on the modified Rankin scale, as compared with placebo (P=0.038 by the Cochran-Mantel-Haenszel test). The common odds ratio for improvement across all categories of the scale was 1.20 (95 percent confidence interval, 1.01 to 1.42). Mortality and rates of serious and nonserious adverse events were each similar in the two groups. NXY-059 did not improve neurologic functioning as measured according to the National Institutes of Health Stroke Scale (NIHSS): the difference between the two groups in the change from baseline scores was 0.1 point (95 percent confidence interval, -1.4 to 1.1; P=0.86). Likewise, no improvement was observed according to the Barthel index (P=0.14). In a post hoc analysis of patients who also received alteplase, NXY-059 was associated with a lower incidence of any hemorrhagic transformation (P=0.001) and symptomatic intracranial hemorrhage (P=0.036). CONCLUSIONS The administration of NXY-059 within six hours after the onset of acute ischemic stroke significantly improved the primary outcome (reduced disability at 90 days), but it did not significantly improve other outcome measures, including neurologic functioning as measured by the NIHSS score. Additional research is needed to confirm whether NXY-059 is beneficial in ischemic stroke. (ClinicalTrials.gov number, NCT00119626.).
GPU-based genome-wide SNP-SNP interactions detection and pancreatic cancer susceptibility analysis

The works in molecular biology proven that the Single Nucleotide Polymorphisms (SNPs) is related to complex diseases. The development of bioinformatics has made it possible to recognize a set of SNPs as factor to influence the risk about a specific disease. However, most methods ignore the possible small scale SNP-SNP interactions. Furthermore, due to the ultra-high dimension of SNP dataset, to detect the SNP-SNP interactions in the whole dataset based on CPU is difficult because of the time complexity. To change this situation, in this paper, we use the Graphics Processing Unit (GPU) to detect the SNP-SNP interactions in genome-wide sequence. And then, after matching and coding, we use this kind of information about SNP combination to analysis the disease susceptibility. Pancreatic cancer (PC) is one of the leading causes of deaths in the worldwide. In this paper we use real dataset about PC as an example, and the experimental result proven that our method is useful.
Understanding Agile Software Development in Practice

Over the last ten years Agile Software Development (ASD) has received much attention from researchers and practitioners as an approach for dealing with change. However, the proper application area and the use of a mixed agile and traditional, more plan-driven -approach are still much debated. In this paper, we report from a mission critical project that was considered agile by the involved staff, but which actually employed a mixed agile and plan-driven strategy. We introduce a framework, which allows for (1) descriptive analysis of the project, (2) its discussion against the agile values as presented in the agile manifesto, and (3) a comparison of findings to Complex Adaptive Systems (CAS) theory. We contribute to the debate with rich insight about: which work practices were applied in practice? which of the applied work practices were agile and/or which were more plan-driven in nature? and which of the applied practices fit with CAS theory and/or with a more plan-driven perspective? The analysis of our case shows that some of the agile practices were used in a way that supported both agile values and a traditional focus on processes, documentation, and planning. Moreover, certain traditional practices were in line with CAS theory, while some agile practices fit both CAS and traditional concepts. We suggest that to understand ASD in practice it is relevant to investigate how the applied practices are actually used in the particular case and that the agile manifesto and CAS theory are useful, complementary lenses for doing so.
Evaluating the Gaps of Different Energy Efficient Protocols of WSN

1 Abstract- This paper presents a review on well-known energy efficient protocols of WSN. Wireless sensor network (WSN) is becoming popular day by day due it is used in wide range of critical applications. Bu t in WSN each node also called sensor node has a battery and each battery has limited lifetime. Therefore e ach sensor node will become dead after the consumption of this battery. So using the battery in efficient way becomes critical issue. The LEACH protocol and its extensions are used to achieve the maximum possible lifetime. Each LEACH extension enhances the lifetime by introducing better selection of cluster head a mong sensor nodes. This paper has focused on found the g aps in existing literature. This paper also ends up by defining a hypothesis for a new improved WSN protocol which has proficiency to reduce the gaps in the existing literature.
EXTENDED BOOLEAN OPERATIONS IN LATENT SEMANTIC INDEXING SEARCH

The paper presents a method for the usage of Boolean expressions for information retrieval based on Latent Semantic Indexing (LSI). The basic binary Boolean expressions such as OR, AND and NOT (AND-NOT) and their combinations have been implemented. The proposed method adds a new functionality to the classic LSI method capabilities to process user queries typed in a natural language (such as English, Bulgarian or Russian) used in the “intelligent” search engines. This gives the user the opportunity of combining not only distinct words or phrases, but also whole texts (documents) using all kinds of Boolean expressions. An evaluation of the implementations has been performed using a text collection of religious and sacred texts.
Cause-specific mortality in diabetes: recent changes in trend mortality

Diabetes is one of the most chronic diseases in Western populations. Mortality rates in diabetic patients are higher than in the general population and their prognosis following any cardiovascular event is generally worse. Type 1 diabetic patients’ acute complications-related mortality decreases with time and the interval free from the diagnosis of diabetes until the development of chronic complications is larger although global mortality is still higher than that of sex- and age-matched healthy individuals. As a consequence of better primary and secondary preventions, recent data in the general population show that there is a trend towards decreased cardiovascular events and increased life expectancy. The same thing applies for type 2 diabetic patients. However, increased survival in the general population associated to epidemic bursts of obesity and sedentarily all over the globe, leads to a higher incidence of type 2 diabetes worldwide. This counteracts the diminution of diabetes-related mortality that would move forward on an ascending slope in the next decades.
Homomorphic filter based exposure fusion

Multi-exposure image fusion, deals with combining a given a set of images captured at different exposure levels to obtain an image where all areas are well-exposed and resultant fused image is more suitable for human and machine perception. In the proposed method we have applied Homomorphic filter to set of multi exposed visual and IR images so as to highlight the high frequency components and simultaneously normalize the brightness across an image and increase contrast. The image is then partitioned into uniform blocks and best block of each image is selected based on quality factor, entropy. The highest entropy blocks are then blended together using gradient-ascent algorithm to obtain best exposed fused image with maximum entropy and hence maximize information content.
A Novel Hardware Architecture With Reduced Internal Memory for Real-Time Extraction of SIFT in an HD Video

Scale-invariant feature transform (SIFT) includes complex computations that require hardware implementation for real-time operations. Previous works on SIFT hardware acceleration used a large amount of internal memory, which limited a wider use of SIFT. This paper proposes a new SIFT hardware architecture that significantly reduces the amount of required internal memory by storing temporary data into external memory. The use of external memory demands an excessive bandwidth (BW) for the external memory. In order to reduce the external memory BW, this paper proposes three schemes: 1) local-patch reuse; 2) local-patch subsampling; and 3) fraction-bit truncation. As a result, the proposed hardware processes High Definition (HD)-sized (1280 × 720) video at 36.85 frames/s with an external memory BW of 2.37 B/cycle and an internal memory of 396.03 kbits, which are acceptable for practical use with various applications. This is achieved because the external memory access is reduced to only 4.75% of that without the proposed schemes and also because the size of the internal memory is reduced to 10.93% compared with the size required in the previous work.
Regulation of innate CD8+ T-cell activation mediated by cytokines

Virus-specific CD8+ T cells develop the ability to function in an “innate” capacity by responding to a remarkable array of cytokines in a TCR-independent manner. Although several cytokines such as IL-12 and IL-18 have been identified as key regulators of CD8+ T-cell activation, the role of other cytokines and the ways in which they interact with each other remain unclear. Here, we have used an unbiased, systematic approach to examine the effects of 1,849 cytokine combinations on virus-specific CD8+ T-cell activation. This study identifies several unexpected cytokine combinations that synergize to induce antigen-independent IFNγ production and CD69 up-regulation by CD8+ T cells in addition to cytokines that exhibit differential regulatory functions, with the ability to either enhance or inhibit T-cell IFNγ production, depending on which cytokine partner is present. These findings underscore the complexity of cytokine interactions while also providing insight into the multifaceted regulatory network controlling virus-specific CD8+ T-cell functions.
The smart grid impact on the Danish DSOs' business model

The transformation progress of the smart grid challenges the market players' business models. One of those market players is the Distribution System Operators (DSOs). This paper aims to elaborate how smart grid influences the DSOs' business models with case studies of two Danish DSOs — EnergiFyn and TREFOR. The main findings indicate that the Danish smart grid transformation process influences the Danish DSOs' business models via four smart grid related factors: (1) smart meters, (2) Distributed Energy Resources (DERs), (3) Bidirectional electricity flow, and (4) R&D. Therefore, the results show that the smart grid incrementally not revolutionary influences the Danish DSOs' business models, and the smart grid transformation of the Danish electricity grid is slower than the agenda of the official Danish smart grid development strategy.
Silkworms transformed with chimeric silkworm/spider silk genes spin composite silk fibers with improved mechanical properties

The development of a spider silk-manufacturing process is of great interest. However, there are serious problems with natural manufacturing through spider farming, and standard recombinant protein production platforms have provided limited progress due to their inability to assemble spider silk proteins into fibers. Thus, we used piggyBac vectors to create transgenic silkworms encoding chimeric silkworm/spider silk proteins. The silk fibers produced by these animals were composite materials that included chimeric silkworm/spider silk proteins integrated in an extremely stable manner. Furthermore, these composite fibers were, on average, tougher than the parental silkworm silk fibers and as tough as native dragline spider silk fibers. These results demonstrate that silkworms can be engineered to manufacture composite silk fibers containing stably integrated spider silk protein sequences, which significantly improve the overall mechanical properties of the parental silkworm silk fibers.
Wavelength‐domain burst cloning for reducing data loss in OBS networks without wavelength‐conversion capability

A major problem in optical burst switching networks is data loss due to burst contention. Wavelength conversion can alleviate it, but it is complex and expensive. We present multiple wavelength simultaneous transmission (MWST), a new method to reduce data loss in optical burst switching networks without wavelength converters. MWST simultaneously sends several copies of every data burst, each on a different wavelength, so as to increase the chances of data delivery. We prove that MWST significantly reduces data loss and that it is a simpler and cheaper alternative to wavelength conversion. Copyright © 2012 John Wiley & Sons, Ltd.
School Climate as an Important Component in School Effectiveness

Expectations, values, faith, relationships with staff, the school leader, teachers and students behavior create school climate. The leader can promote or hinder a positive climate through his leadership model. The purpose of this study is to explore what are the climate types that appear in the school as well as to contribute to the expectations of different stakeholders on the school climate. The starting point for improving the performance of students and teachers is to improve school climate. Thus, this study will help leaders who for one reason or another have not been effective in keeping their responsibilities, and, as a result, did not work efficiently in improving school climate. It is assumed that a positive school climate enhances effective teaching, and as a result a better performance of student learning. This study will serve to further studies related to the expansion of the leaders’ roles on school climate. In conclusion, the research will assist policy makers in Albania to assess the content of the modules needed for training future managers and teachers to ensure they are equipped with the skills required to create a positive, open and collaborative climate in school. The school leader should be released from some managerial tasks, for paying more time to teachers and students.