Miracle-dz/UniFAR-FTUs huggingface dataset:
The Unreasonable Effectiveness of Traditional Information Retrieval in Crash Report Deduplication

Organizations like Mozilla, Microsoft, and Apple are floodedwith thousands of automated crash reports per day. Although crash reports contain valuable information for debugging, there are often too many for developers to examineindividually. Therefore, in industry, crash reports are oftenautomatically grouped together in buckets. Ubuntu’s repository contains crashes from hundreds of software systemsavailable with Ubuntu. A variety of crash report bucketing methods are evaluated using data collected by Ubuntu’sApport automated crash reporting system. The trade-off between precision and recall of numerous scalable crash deduplication techniques is explored. A set of criteria that acrash deduplication method must meet is presented and several methods that meet these criteria are evaluated on anew dataset. The evaluations presented in this paper showthat using off-the-shelf information retrieval techniques, thatwere not designed to be used with crash reports, outperformother techniques which are specifically designed for the taskof crash bucketing at realistic industrial scales. This researchindicates that automated crash bucketing still has a lot ofroom for improvement, especially in terms of identifier tokenization.
Value-Oriented Requirements Prioritization in a Small Development Organization

Requirements engineering, especially requirements prioritization and selection, plays a critical role in overall project development. In small companies, this often difficult process can affect not only project success but also overall company survivability. A value-oriented prioritization (VOP) framework can help this process by clarifying and quantifying the selection and prioritization issues. A case study of a small development company shows a successful VOP deployment that improved communications and saved time by focusing requirements decisions for new product releases on core company values
Using Intra-Core Loop-Task Accelerators to Improve the Productivity and Performance of Task-Based Parallel Programs

Task-based parallel programming frameworks offer compelling productivity and performance benefits for modern chip multi-processors (CMPs). At the same time, CMPs also provide packed-SIMD units to exploit fine-grain data parallelism. Two fundamental challenges make using packed-SIMD units with task-parallel programs particularly difficult: (1) the intra-core parallel abstraction gap; and (2) in-efficient execution of irregular tasks. To address these challenges, we propose augmenting CMPs with intra-core loop-task accelerators (LTAs). We introduce a lightweight hint in the instruction set to elegantly encode loop-task execution and an LTA microarchitectural template that can be configured at design time for different amounts of spatial/temporal decoupling to efficiently execute both regular and irregular loop tasks. Compared to an in-order CMP baseline, CMP+LTA results in an average speedup of $4.2\times(1.8\times$ area normalized) and similar energy efficiency. Compared to an out-of-order CMP baseline, CMP+LTA results in an average speedup of $2.3\times$ ($1.5\times$ area normalized) and also improves energy efficiency by $3.2\times. $ Our work suggests augmenting CMPs with lightweight LTAs can improve performance and efficiency on both regular and irregular loop-task parallel programs with minimal software changes. CCS CONCEPTS •. Software and its engineering $\rightarrow$ Runtime environments;. Computer systems organization $\rightarrow$ Multicore architectures; Single instruction, multiple data;
The Rough Guide to In Silico Function Prediction, or How To Use Sequence and Structure Information To Predict Protein Function

Choosing the right function prediction tools The vast majority of known proteins have not yet been characterized experimentally, and there is very little that is known about their function. New unannotated sequences are added to the databases at a pace that far exceeds the one in which they are annotated in the lab. Computational biology offers tools that can provide insight into the function of proteins based on their sequence, their structure, their evolutionary history, and their association with other proteins. In this contribution, we attempt to provide a framework that will enable biologists and computational biologists to decide which type of computational tool is appropriate for the analysis of their protein of interest, and what kind of insights into its function these tools can provide. In particular, we describe computational methods for predicting protein function directly from sequence or structure, focusing mainly on methods for predicting molecular function. We do not discuss methods that rely on sources of information that are beyond the protein itself, such as genomic context [1], protein–protein interaction networks [2], or membership in biochemical pathways [3]. When choosing a tool for function prediction, one would typically want to identify the best performing tool. However, a quantitative comparison of different tools is a tricky task. While most developers report their own assessment of their tool, in most cases there are no standard datasets and generally agreed-upon measures and criteria for benchmarking function prediction methods. In the absence of independent benchmarks, comparing the figures reported by the developers is almost always comparing oranges and apples (for discussion of this problem see [4]). Therefore, we refrain from reporting numerical assessments of specific methods. For those cases in which independent assessment of performance is available, we refer the reader to the original publications. Finally, we discuss only methods that are either accessible as Web servers or freely available for download (relevant Web links can be found in Table S1).
Lapatinib combined with letrozole versus letrozole and placebo as first-line therapy for postmenopausal hormone receptor-positive metastatic breast cancer.

PURPOSE Cross-talk between human epidermal growth factor receptors and hormone receptor pathways may cause endocrine resistance in breast cancer. This trial evaluated the effect of adding lapatinib, a dual tyrosine kinase inhibitor blocking epidermal growth factor receptor and human epidermal growth factor receptor 2 (HER2), to the aromatase inhibitor letrozole as first-line treatment of hormone receptor (HR) -positive metastatic breast cancer (MBC). PATIENTS AND METHODS Postmenopausal women with HR-positive MBC were randomly assigned to daily letrozole (2.5 mg orally) plus lapatinib (1,500 mg orally) or letrozole and placebo. The primary end point was progression-free survival (PFS) in the HER2-positive population. Results In HR-positive, HER2-positive patients (n = 219), addition of lapatinib to letrozole significantly reduced the risk of disease progression versus letrozole-placebo (hazard ratio [HR] = 0.71; 95% CI, 0.53 to 0.96; P = .019); median PFS was 8.2 v 3.0 months, respectively. Clinical benefit (responsive or stable disease >or= 6 months) was significantly greater for lapatinib-letrozole versus letrozole-placebo (48% v 29%, respectively; odds ratio [OR] = 0.4; 95% CI, 0.2 to 0.8; P = .003). Patients with centrally confirmed HR-positive, HER2-negative tumors (n = 952) had no improvement in PFS. A preplanned Cox regression analysis identified prior antiestrogen therapy as a significant factor in the HER2-negative population; a nonsignificant trend toward prolonged PFS for lapatinib-letrozole was seen in patients who experienced relapse less than 6 months since prior tamoxifen discontinuation (HR = 0.78; 95% CI, 0.57 to 1.07; P = .117). Grade 3 or 4 adverse events were more common in the lapatinib-letrozole arm versus letrozole-placebo arm (diarrhea, 10% v 1%; rash, 1% v 0%, respectively), but they were manageable. CONCLUSION This trial demonstrated that a combined targeted strategy with letrozole and lapatinib significantly enhances PFS and clinical benefit rates in patients with MBC that coexpresses HR and HER2.
Sodium boric acid: a Tris-free, cooler conductive medium for DNA electrophoresis.

age (5−10 V/cm) runs necessary and highlights the limitations of using Tris as a cation for DNA electrophoresis. Another component of currently used buffers, EDTA, is now largely superfluous, since most DNA samples are readily soluble and since commonly used enzymes today would not carry an undesirable enzymatic activity under electrophoretic conditions.
Association rules mining with relative weighted support

Mining weighted association rules are very important in a domain of knowledge discovery. Most of traditional association rules are focused on binary relationships rather than the mixture binary-weight relationships of items. As a result, the significance of weight of each item in a transaction is just ignored completely. Until this instance, only few studies are dedicated for weighted schemes as compared to existing binary association rules. Here, we propose a novel weighted association rules scheme called Relative Weighted Support (RWS). The result reveals that RWS can easily discover the significance of weighted association rules and surprisingly all of them are extracted from the least items.
Self-Directed Learning in Adulthood: A Literature Review.

Self-directed learning (SDL) is among the most productive areas of research in adult education. Malcolm S. Knowles is credited with a comprehensive synthesis of adult teaching and adult learning principles. Andragogy, the art and science of helping adults learn, lies at the heart of Knowles' work. Lucy M. Guglielmino theorized regarding the occurrence of self-direction in learning. Stephen D. Brookfield considered SDL from both cognitive and behavioral perspectives. Ralph G. Brockett and Roger Hiemstra embraced the view that the concept of SDL should be seen as only one part of a broader concept, and their conceptualization of SDL was a synthesis of other writers' multidimensional conceptualizations. According to Philip C. Candy, SDL involves the following tenets: (1) the interaction between a person and his or her environment; (2) knowledge as tentative, evanescent, and socially constructed; (3) learning as a qualitative shift in how phenomena are viewed; and (4) individuals as engaging in complex, mutually interdependent relationships with their environments. The research of these individuals has led to many theoretical approaches to SDL, including the following: humanism; personal responsibility orientation; behaviorism; neobehaviorism; critical perspectives; and constructivism. Numerous researchers have used qualitative and quantitative research methods to expand understanding of SDL. (Contains 147 references.) (MN) Reproductions supplied by EDRS are the best that can be made from the ori inal document. SELF-DIRECTED LEARNING IN ADULTHOOD: A LITERATURE REVIEW T. Ross Owen, Ed.D. Assistant Professor of Adult and Higher Education Morehead State University UPO Box 677 150 University Boulevard Morehead, KY 40351 606-783-2154 r.owen@moreheadstate.edu U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) This document has been reproduced as received from the person or organization originating it. 0 Minor changes have been made to improve reproduction quaty. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. January 22, 2002 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) The meaning of self-direction in adult learning has been "skewed by those who choose to define it as they wish" (Brookfield, 1986, P. 18) . The distortion surrounding selfdirection in adult learning can be attributed to haphazard nomenclature. Self-direction in adult learning has been referred to as self-teaching, self-planned learning, independent adult learning, self-directed learning, and self-initiated
Effect of Genetic Variability in the CYP4F2, CYP4F11, and CYP4F12 Genes on Liver mRNA Levels and Warfarin Response

Genetic polymorphisms in the gene encoding cytochrome P450 (CYP) 4F2, a vitamin K oxidase, affect stable warfarin dose requirements and time to therapeutic INR. CYP4F2 is part of the CYP4F gene cluster, which is highly polymorphic and exhibits a high degree of linkage disequilibrium, making it difficult to define causal variants. Our objective was to examine the effect of genetic variability in the CYP4F gene cluster on expression of the individual CYP4F genes and warfarin response. mRNA levels of the CYP4F gene cluster were quantified in human liver samples (n = 149) obtained from a well-characterized liver bank and fine mapping of the CYP4F gene cluster encompassing CYP4F2, CYP4F11, and CYP4F12 was performed. Genome-wide association study (GWAS) data from a prospective cohort of warfarin-treated patients (n = 711) was also analyzed for genetic variations across the CYP4F gene cluster. In addition, SNP-gene expression in human liver tissues and interactions between CYP4F genes were explored in silico using publicly available data repositories. We found that SNPs in CYP4F2, CYP4F11, and CYP4F12 were associated with mRNA expression in the CYP4F gene cluster. In particular, CYP4F2 rs2108622 was associated with increased CYP4F2 expression while CYP4F11 rs1060467 was associated with decreased CYP4F2 expression. Interestingly, these CYP4F2 and CYP4F11 SNPs showed similar effects with warfarin stable dose where CYP4F11 rs1060467 was associated with a reduction in daily warfarin dose requirement (∼1 mg/day, Pc = 0.017), an effect opposite to that previously reported with CYP4F2 (rs2108622). However, inclusion of either or both of these SNPs in a pharmacogenetic algorithm consisting of age, body mass index (BMI), gender, baseline clotting factor II level, CYP2C9∗2 rs1799853, CYP2C9∗3 rs1057910, and VKORC1 rs9923231 improved warfarin dose variability only by 0.5–0.7% with an improvement in dose prediction accuracy of ∼1–2%. Although there is complex regulation across the CYP4F gene cluster, the opposing effects between the two SNPs in the CYP4F gene cluster appear to compensate for each other and their effect on warfarin dose requirement is unlikely to be clinically significant.
Stool Bacteriomic Pro fi ling in Patients with Metastatic Renal Cell Carcinoma Receiving Vascular Endothelial Growth Factor – Tyrosine Kinase Inhibitors

Purpose: Diarrhea occurs in approximately half of patients with metastatic renal cell carcinoma (mRCC) receiving vascular endothelial growth factor–tyrosine kinase inhibitors (VEGF-TKI). We evaluated the relationship between VEGF-TKI–related diarrhea and stool microbiota. Experimental Design: Stool samples were collected from 20 mRCC patients receiving VEGF-TKIs. 16S rRNA sequencing was used to characterize the stool bacteriomic profiling of patients. Assay validation with Salmonella typhimurium spike-in experiments suggested greatest speciation with use of the V5 region. Results: Higher levels of Bacteroides spp. and lower levels of Prevotella spp. were found in patients with diarrhea. In addition, patients receiving VEGF-TKIs with mRCC appeared to have less relative abundance of Bifidobacterium spp. as compared with previous reports based on healthy subjects. Conclusions: We have thus demonstrated interplay between microbiota and VEGF-TKI–induced diarrhea. Further studies are warranted to evaluate the potential causative role of preexisting dysbiosis in VEGF-TKI–related diarrhea. Clin Cancer Res; 1–8. 2015
A Predictive Performance Model for Superscalar Processors

Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed simulation and several constraints that a processor design must satisfy. In this paper, we propose the use of empirical non-linear modeling techniques to assist processor architects in making design decisions and resolving complex trade-offs. We propose a procedure for building accurate non-linear models that consists of the following steps: (i) selection of a small set of representative design points spread across processor design space using latin hypercube sampling, (ii) obtaining performance measures at the selected design points using detailed simulation, (iii) building non-linear models for performance using the function approximation capabilities of radial basis function networks, and (iv) validating the models using an independently and randomly generated set of design points. We evaluate our model building procedure by constructing non-linear performance models for programs from the SPEC CPU2000 benchmark suite with a microarchitectural design space that consists of 9 key parameters. Our results show that the models, built using a relatively small number of simulations, achieve high prediction accuracy (only 2.8% error in CPI estimates on average) across a large processor design space. Our models can potentially replace detailed simulation for common tasks such as the analysis of key microarchitectural trends or searches for optimal processor design points
Monte Carlo simulation for scanning technique with scattering foil free electron beam: A proof of concept study

This study investigated the potential of a newly proposed scattering foil free (SFF) electron beam scanning technique for the treatment of skin cancer on the irregular patient surfaces using Monte Carlo (MC) simulation. After benchmarking of the MC simulations, we removed the scattering foil to generate SFF electron beams. Cylindrical and spherical phantoms with 1 cm boluses were generated and the target volume was defined from the surface to 5 mm depth. The SFF scanning technique with 6 MeV electrons was simulated using those phantoms. For comparison, volumetric modulated arc therapy (VMAT) plans were also generated with two full arcs and 6 MV photon beams. When the scanning resolution resulted in a larger separation between beams than the field size, the plan qualities were worsened. In the cylindrical phantom with a radius of 10 cm, the conformity indices, homogeneity indices and body mean doses of the SFF plans (scanning resolution = 1°) vs. VMAT plans were 1.04 vs. 1.54, 1.10 vs. 1.12 and 5 Gy vs. 14 Gy, respectively. Those of the spherical phantom were 1.04 vs. 1.83, 1.08 vs. 1.09 and 7 Gy vs. 26 Gy, respectively. The proposed SFF plans showed superior dose distributions compared to the VMAT plans.
Customizing Clos Network-on-Chip for Neural Networks

Large-scale neural network accelerators are often implemented as a many-core chip and rely on a network-on-chip to manage the huge amount of inter-neuron traffic. The baseline and different variations of the well-known mesh and tree topologies are the most popular topologies in prior many-core implementations of neural networks. However, the grid-like mesh and hierarchical tree topologies suffer from high diameter and low bisection bandwidth, respectively. In this paper, we present ClosNN, a customized Clos topology for Neural N etworks. The inherent capability of Clos to support multicast and broadcast traffic in a simple and efficient way, as well as its adaptable bisection bandwidth, is the major motivation behind proposing a customized version of this topology as the communication infrastructure of large-scale neural network implementations. We compare ClosNN with some state-of-the-art NoC topologies adopted in recent neural network hardware accelerators and show that it offers lower average message hop count and higher throughput, which directly translates to faster neural information processing.
Authority, Incentives and Performance: Theory and Evidence from a Chinese Newspaper

Authority de…nes the formal structure of an organization, and is essential for the allocation of resources inside the …rm. This paper develops a theory of authority in a multiple layer hierarchy, in which the distribution of authority alleviates incentive incompatibilities. To examine the theory, I collect monthly personnel data from about 200 journalists over three years in a Chinese newspaper, and provide evidence on their incentives and performance under two basic organizational forms — centralization and decentralization. Relying on an unexpected organizational reform from decentralizing to centralizing editorial power in some divisions of the newspaper, I …nd three main results: 1) centralization improves the quality of the journalists’performance, in terms of the newspaper’s internal assessment and the external measures of news content; 2) centralization reduces the journalists’activities for private gain; 3) centralization decreases the editorial activities conducted by managing editors. These results are in line with the theory: a more centralized hierarchy achieves better control over workers’opportunistic behaviour, at the
The Rise and Fall of the Quasars

The coherent rise and fall of the quasar population is discussed in terms of gas accretion onto massive black holes, governed by the hierarchically growing environment. The rise is related to plentiful accretion during the assemblage of the host galaxies; the fall to intermittent accretion when these interact with companions in a group. The LFs are computed out to z=6, and are related to the mass distribution of relict BH found in local galaxies. The histories of the QS and of the star light are compared.
Homo-FRET Based Biosensors and Their Application to Multiplexed Imaging of Signalling Events in Live Cells

Multiplexed imaging of Förster Resonance Energy Transfer (FRET)-based biosensors potentially presents a powerful approach to monitoring the spatio-temporal correlation of signalling pathways within a single live cell. Here, we discuss the potential of homo-FRET based biosensors to facilitate multiplexed imaging. We demonstrate that the homo-FRET between pleckstrin homology domains of Akt (Akt-PH) labelled with mCherry may be used to monitor 3′-phosphoinositide accumulation in live cells and show how global analysis of time resolved fluorescence anisotropy measurements can be used to quantify this accumulation. We further present multiplexed imaging readouts of calcium concentration, using fluorescence lifetime measurements of TN-L15-a CFP/YFP based hetero-FRET calcium biosensor-with 3′-phosphoinositide accumulation.
Epigenome scans and cancer genome sequencing converge on WNK2, a kinase-independent suppressor of cell growth

Human cancer genome and epigenome projects aim to identify new cancer genes and targets for therapy that have been overlooked by conventional approaches. Here we integrated large-scale genomics and epigenomics of 31 human infiltrative gliomas and identified low-frequency deletion and highly recurrent epigenetic silencing of WNK2, encoding a putative serine/threonine kinase. Prior cancer genome sequencing projects also identified point mutations in WNK1–4, suggesting that WNK family genes may have a role in cancers. We observed consistent gene silencing in tumors with dense aberrant methylation across 1.3 kb of the CpG island but more variable expression when the 5′-most region remained unmethylated. This primary tumor data fit well with WNK2 promoter analysis, which showed strong promoter activity in the 5′-most region, equivalent to the simian virus 40 promoter, but no activity in the 3′ region. WT WNK2 exhibited autophosphorylation and protein kinase activity that was enhanced in cells exposed to hypertonic conditions, similar to WNK1. WNK2 inhibited up to 78% of colony formation by glioma cells but in an unexpectedly kinase-independent manner. The WNK2 silencing by epigenetic mechanisms was significantly associated (P < 0.01) with a known genetic signature of chemosensitive oligodendroglial tumors, 1p and 19q deletion, in two small but independent tumor sets. Taken together, the epigenetic silencing, occasional deletion and point mutation, and functional assessment suggest that aberrations of WNK2 may contribute to unregulated tumor cell growth. Thus, our integrated genetic and epigenetic approach might be useful to identify genes that are widely relevant to cancer, even when genetic alterations of the locus are infrequent.