Miracle-dz/UniFAR-FTUs huggingface dataset:
CHIMAERA : Integrating a Reconfigurable Unit into a High-Performance , Dynamically-Scheduled Superscalar Processor

We report our experience with Chimaera, a prototype system that integrates a small and fast reconfigurable functional unit (RFU) into the pipeline of an aggressive, dynamically-scheduled superscalar processor. We discuss the Chimaera C compiler that automatically maps computations for execution in the RFU.Using a set of multimedia and communication applications we show that even with simple optimizations, the Chimaera C compiler is able to map 22% of all instructions to the RFU on the average. Timing experiments demonstrate that for a 4-way out-of-order superscalar processor Chimaera results in average performance improvements of 21%. This assuming a very aggressive core processor design (most pessimistic RFU latency model) and communication overheads from and to the RFU.
An extremal problem in proper (r, p)-coloring of hypergraphs

Let $G(V,E)$ be a $k$-uniform hypergraph. A hyperedge $e \in E$ is said to be properly $(r,p)$ colored by an $r$-coloring of vertices in $V$ if $e$ contains vertices of at least $p$ distinct colors in the $r$-coloring. An $r$-coloring of vertices in $V$ is called a {\it strong $(r,p)$ coloring} if every hyperedge $e \in E$ is properly $(r,p)$ colored by the $r$-coloring. We study the maximum number of hyperedges that can be properly $(r,p)$ colored by a single $r$-coloring and the structures that maximizes number of properly $(r,p)$ colored hyperedges.
Derivation of DNA probes for enumeration of a specific strain of Lactobacillus acidophilus in piglet digestive tract samples

Four DNA probes were derived that hybridized specifically to DNA from Lactobacillus acidophilus O. The probes were constructed by randomly cloning lactobacillus DNA in plasmid vector pBR322. Two of the probes (pSR1 and pSR2) were composed of vector and plasmid DNA inserts (3.6 and 1.6 kb, respectively); the others (pSR3 and pSR4) were composed of vector and chromosomally derived inserts (6.9 and 1.4 kb, respectively). The probes were used to enumerate, by colony hybridization, strain O in digestive tract samples collected from piglets inoculated 24 hours previously with a culture of the strain. The probes did not hybridize to DNA from lactobacilli inhabiting the digestive tract of uninoculated piglets. Strain O made up about 10% of the total lactobacillus population of the pars esophagea and about 20% of the population in other digestive tract samples.
Use of Abstraction and Complexity Levels in Intelligent Educational System Design

We are interested in problem-solving domains, like engineering and most "exact science" disciplines. In these domains, the knowledge to be acquired by the student is twofold: the domain knowledge itself, but also and mainly the knowledge necessary to solve problems in that domain. As a result, an educationoriented system in such a domain must encompass three knowledge types: the domain knowledge and the problem-solving knowledge, constituting the knowledge to be acquired and mastered by the student, and the tutoring knowledge, used by the system to facilitate the student's learning process. In this paper, we show how these three knowledge types can be modelled, how they should interact with one another in order to fulfil the system educational purpose, and above all how the abstraction and complexity levels can shed a uniformizing light on the system operation and make it more userfriendly. We thus hope to bring some contribution to the general and important problem of finding a generic architecture to intelligent tutoring systems.
Incremental Semantic Construction Based on Combinatory Categorial Grammar

This paper proposes a method of incrementally constructing semantic representations. Our method is based on Steedman’s Combinatory Categorial Grammar (CCG), which has a transparent correspondence between syntax and semantics. In our method, a derivation for a sentence is constructed in an incremental fashion and the corresponding semantic representation is derived synchronously. Our method uses normal form CCG derivation. This is the difference between our approach and previous ones. Previous approaches use most left-branching derivation called incremental derivation, but they cannot process coordinate structures incrementally. Our method overcomes this problem. key words: incremental interpretation, normal form derivation, λcalculus, incremental parsing
Profiling CAD tools: A proposed classification

Profiling is the analysis of a software program's behaviour as it is executing on a target processor or platform. The purpose is to determine the computational bottleneck so that designers can modify or optimize the software code in order to gain a speed up in overall performance. There is a variety of profiling tools available which provides different measuring techniques and can collect a diverse set of performance information. This paper presents a classification of profiling tools where we categorize each profiler based on its measuring capabilities and the type of performance data that is returned to the desiger. This classification will aid designers in choosing the right profiling CAD tool for their task.
Fourier Transform of Untransformable Signals Using Pattern Recognition Technique

In this paper we are highlighting the signals that are not Fourier transformable and give its Fourier transform using PCA (Principle Component Analysis), lDA (linear Discriminant Analysis). Such signals are step signal, signum, etc. Basically Fourier transform transforms time domain signal into frequency domain and after transformation describes what frequencies original signal have. Principle Component Analysis is a way of identifying patterns (recognition) in the data and the differences of the data is highlighted. With the help of PCA & lDA we do the dimension reduction of the signal. lDA is used in statistics and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The resulting combination may be used as a linear classifier or, more commonly, for dimensionality reduction before later classification. lDA is closely related to anova (analysis of variance). PCA is used for analyzing. Main advantage of PCA is that once patterns are found and data is compressed that is by reducing the number of dimension without much loss of information. Dimension reduction is the process of reducing the number of random variables under consideration, and can be divided into feature selection and feature extraction. Feature selection approaches try to find a subset of the original variables and feature extraction transforms the data in the high-dimensional space to a space of fewer dimensions.
Parallel sorting algorithms for optimizing particle simulations

Real world particle simulation codes have to handle a huge number of particles and their interactions. Thus, parallel implementations are required to get suitable production codes. Parallel sorting is often used to organize the set of particles or to redistribute data for locality and load balancing concerns. In this article, the use and design of parallel sorting algorithms for parallel particle simulation codes are discussed. As a typical example, the particle simulation code PEPC is considered and a specific parallel sorting algorithm for this application is presented. The resulting parallel simulation code was implemented on an IBM Blue Gene/P system and corresponding performance results are shown.
Gender and Culture Differences in Touching Behavior

The authors used gender and culture to examine the theory that touching behavior is an expression of dominance. Participants were 120 men and women from Italy, the Czech Republic, and the United States. The authors examined both hand touches and nonhand touches. For hand touches, there was a significant gender-by-culture interaction in that Czech men as a group touched more than any of the other groups. For nonhand touches, Czech and Italian women and Italian men as groups touched significantly more than any of the other groups. Taken in cultural context, these results seem to support the dominance theory for touches with the hand but not for nonhand touches. The authors discussed implications and future directions.
Glutaredoxins are essential for stress adaptation in the cyanobacterium Synechocystis sp. PCC 6803

Glutaredoxins are small redox proteins able to reduce disulfides and mixed disulfides between GSH and proteins. Synechocystis sp. PCC 6803 contains three genes coding for glutaredoxins: ssr2061 (grxA) and slr1562 (grxB) code for dithiolic glutaredoxins while slr1846 (grxC) codes for a monothiolic glutaredoxin. We have analyzed the expression of these glutaredoxins in response to different stresses, such as high light, H2O2 and heat shock. Analysis of the mRNA levels showed that grxA is only induced by heat while grxC is repressed by heat shock and is induced by high light and H2O2. In contrast, grxB expression was maintained almost constant under all conditions. Analysis of GrxA and GrxC protein levels by western blot showed that GrxA increases in response to high light, heat or H2O2 while GrxC is only induced by high light and H2O2, in accordance with its mRNA levels. In addition, we have also generated mutants that have interrupted one, two, or three glutaredoxin genes. These mutants were viable and did not show any different phenotype from the WT under standard growth conditions. Nevertheless, analysis of these mutants under several stress conditions revealed that single grxA mutants grow slower after H2O2, heat and high light treatments, while mutants in grxB are indistinguishable from WT. grxC mutants were hypersensitive to treatments with H2O2, heat, high light and metals. A double grxAgrxC mutant was found to be even more sensitive to H2O2 than each corresponding single mutants. Surprisingly a mutation in grxB suppressed totally or partially the phenotypes of grxA and grxC mutants except the H2O2 sensitivity of the grxC mutant. This suggests that grxA and grxC participate in independent pathways while grxA and grxB participate in a common pathway for H2O2 resistance. The data presented here show that glutaredoxins are essential for stress adaptation in cyanobacteria, although their targets and mechanism of action remain unidentified.
Social Media Malware: Determinants of Users' Intention to Share Potentially Infected Posts

Malware has become problematic in social networking sites (SNS), where users can click on links that come from legitimate users but that may be infected with non-authorized downloads. This may generate security risks for companies (e.g. unauthorized access to sensitive information), if employees use those social networks from their work devices. Considering the relevance of this phenomenon for organizations, this ERF paper explores the potential of malware infection from the point of view of the weakest link in security efforts: the user. This study proposes a theoretical model based on Theory of Reasoned Action that will aid in understanding the factors that determine a user’s intention to share potentially infected content in a SNS. This model will be empirically validated using a survey-based study involving Facebook users, and structural equation modelling techniques.
Syllable frequency and word frequency effects in spoken and written word production in a non-alphabetic script

The effects of word frequency (WF) and syllable frequency (SF) are well-established phenomena in domain such as spoken production in alphabetic languages. Chinese, as a non-alphabetic language, presents unique lexical and phonological properties in speech production. For example, the proximate unit of phonological encoding is syllable in Chinese but segments in Dutch, French or English. The present study investigated the effects of WF and SF, and their interaction in Chinese written and spoken production. Significant facilitatory WF and SF effects were observed in spoken as well as in written production. The SF effect in writing indicated that phonological properties (i.e., syllabic frequency) constrain orthographic output via a lexical route, at least, in Chinese written production. However, the SF effect over repetitions was divergent in both modalities: it was significant in the former two repetitions in spoken whereas it was significant in the second repetition only in written. Due to the fragility of the SF effect in writing, we suggest that the phonological influence in handwritten production is not mandatory and universal, and it is modulated by experimental manipulations. This provides evidence for the orthographic autonomy hypothesis, rather than the phonological mediation hypothesis. The absence of an interaction between WF and SF showed that the SF effect is independent of the WF effect in spoken and written output modalities. The implications of these results on written production models are discussed.
Teacher Recruitment in Turkey: Analysis of Teacher Selection Exams in Comparison with Revised Bloom's Taxonomy of Educational Objectives.

The purpose of the study is to analyze the content validity of Public Personnal Selection Exam (KPSS), which is used for teacher recruitment in Turkey, in accordance with the teaching profession courses and Bloom’s revised taxonomy of educational aims. For this purpose, the study was designed as a descriptive survey model. The data were obtained through document analysis. 720 questions asked in KPSS in the last six years – including 2006 – 2011 were descriptively analyzed through the analyses of these documents. The findings of the study revealed that KPSS does not sufficiently cover the teaching profession courses and has a low content validity in this sense. In addition, the findings of the study showed that the questions in the exam measure cognitive processes and knowledge aspects of Bloom’s revised taxonomy at minimal rates. In conclusion, the content validity of KPSS, which is used for teacher recruitment in Turkey, was ascertained as low and some suggestions were made in order to raise the level of content validity of the exam. Key words: Bloom’s revised taxonomy on educational objectives, public personnel selection exam, teacher recruitment in turkey, teaching profession courses, Turkey.
Molecular characterization and expression analysis of ADAM12 during chicken embryonic development

ADAM12 is a member of the disintegrin and metalloprotease (ADAM) family of molecules, which consist of multiple domains. ADAM12 is involved in different physiological and pathological processes. In the present study, full‐length sequences of two chicken ADAM12 isoforms were cloned and identified by reverse transcription–polymerase chain reaction (RT–PCR), rapid amplification of cDNA ends methods and bioinformatics analysis. The long isoform consists of all domains characteristic for ADAMs and is strongly expressed in different tissues, whereas the short isoform lacks large parts of the metalloprotease and disintegrin domains and is only expressed weakly. Results from semi‐quantitative RT–PCR show that the complete ADAM12 is stably expressed throughout chicken embryonic development, while the short isoform is only regionally detectable in the lung and brain. Results from in situ hybridization show that chicken ADAM12 is expressed exclusively in tissues and organs derived from the neural tube, the neural crest or the mesoderm, with a highly regulated spatiotemporal expression pattern. Our data confirm and extend studies of ADAM12 in other species, and suggest that ADAM12 may play a role in the development of several organs, including the formation of feather buds.
Hedging and Speaker Commitment

Hedging is a behavior wherein speakers or writers attempt to distance themselves from the proposition they are communicating. Hedge terms include items such as ” I think X ” or ” It’s sort of Y ”. Identifying such behaviors is important for extracting meaning from speech and text, and can also reveal information about the social and power relations between the conversants. Yet little research has been done on the automatic identiﬁcation of hedges since the CONLL 2010 Shared Task. In this paper, we present our newly expanded and generalized guidelines for the annotation of hedge expressions in text and speech. We describe annotation and automatic extraction experiments using these guidelines and describe future work on the automatic identiﬁcation of hedges.
Attentional Demands Following Perceptual Skill Training

Practicing simple visual tasks induces substantial improvement. We investigated whether increased efficiency is accompanied by automaticity and immunity to across-task interference. We found that although practice speeds orientation feature detection, it does not abolish susceptibility to interference from introduction of concurrent central-letter identification, which takes priority. Yet following training with each task, observers successfully managed to perform the tasks concurrently. The effectiveness of separate training implies that the role of improved intertask coordination in achieving concurrent performance was minor. Indeed, even when initial training was concurrent, improvement on the two tasks was sequential, and the higher-priority (central) task was learned first. However, automatic processing was not accomplished either, because increasing the difficulty of the higher-priority task interfered with performance of both tasks. What appears to be orchestrated posttraining performance is actually mainly an emergent property of speeded initial processes rather than either eliminated bottlenecks or improved central executive management.
Simultaneous Proteomic Discovery and Targeted Monitoring using Liquid Chromatography, Ion Mobility Spectrometry, and Mass Spectrometry*

Current proteomic approaches include both broad discovery measurements and quantitative targeted analyses. In many cases, discovery measurements are initially used to identify potentially important proteins (e.g. candidate biomarkers) and then targeted studies are employed to quantify a limited number of selected proteins. Both approaches, however, suffer from limitations. Discovery measurements aim to sample the whole proteome but have lower sensitivity, accuracy, and quantitation precision than targeted approaches, whereas targeted measurements are significantly more sensitive but only sample a limited portion of the proteome. Herein, we describe a new approach that performs both discovery and targeted monitoring (DTM) in a single analysis by combining liquid chromatography, ion mobility spectrometry and mass spectrometry (LC-IMS-MS). In DTM, heavy labeled target peptides are spiked into tryptic digests and both the labeled and unlabeled peptides are detected using LC-IMS-MS instrumentation. Compared with the broad LC-MS discovery measurements, DTM yields greater peptide/protein coverage and detects lower abundance species. DTM also achieved detection limits similar to selected reaction monitoring (SRM) indicating its potential for combined high quality discovery and targeted analyses, which is a significant step toward the convergence of discovery and targeted approaches.
Variable-Rate Transmission for Rayleigh Fading Channels

A modulation system is proposed that continuously adjusts its data rate in response to signal strength variations in a fading channel. The optimum variation of data rate with channel conditions is determined, and includes the effects of feedback channel time delay, the interval between rate changes, and restriction of the number of allowable rates. Application of these results to a full duplex situation allows determination of the optimum fraction of the data stream to be devoted to service information. Comparison of this scheme with diversity transmission on the basis of error probability and bandwidth utilization reveals a reduction on the order of 14 dB in transmitter power for a typical duplex link.
Statistical analysis of the AcuteTox data aimed to identify an in vitro testing strategy for prediction of acute oral toxicity

s Linz 2010 Altex 27, Suppl. 2/10 73 Poster Estrogen receptor transcriptional activation assays: comparing HeLa celland yeast-based methods Susanne Kolle, Hans-Albrecht Huener, Julia Knickel, Claudia Woitkowiak, Andreas Verlohner, Bennard van Ravenzwaay and Robert Landsiedel BASF SE (Ludwigshafen) (DE) Contact: susanne.boehn@basf.com Exogenous substances may bind to the estrogen or androgen receptor; this may lead to adverse effects, which are usually categorised as endocrine disruption. Recently, a method to study the binding of substances to the human estrogen receptor alpha was adopted by the OECD (test guideline 455). This method uses the activation of the human HeLa-9903 cell line stably transfected with human estrogen receptor alpha. In these cells the receptor-ligand complex translocates to the nucleus, where it binds specific DNA response elements and activates a firefly luciferase reporter gene, resulting in increased cellular luciferase activity, which is used for quantification of the receptor activation by luminescence measurement. The assay is used to detect agonistic effects of substances on the human estrogen receptor alpha. In our laboratory we have optimised and validated yeast-based assays to detect agonistic and antagonistic effects of substances on the human estrogen receptor alpha (YeS) and on the androgen receptor (YAS). Similar to the HeLa assay, the gene coding for the human estrogen receptor alpha has been integrated into the genome of a yeast strain. Additionally, the yeasts contain a plasmid carrying the lac Z gene, which is receptor-dependently expressed and serves as a reporter gene. The lactase activity is used to quantify the activation of the human estrogen receptor alpha. The YES was validated with 105 test compounds and the assay is currently used in screening more than 50 substances per year. We have compared the performance of the HeLa celland the yeast-based assays. Both assays perform similarly, but we prefer the yeast assays for their significantly greater robustness and the option to study agonistic and antagonistic effects on human estrogenand androgen receptors. Moreover, we successfully integrated hepatic metabolising activities into the YeS and YAS.
Geometric Representations of High Dimensional Random Data.

Acknowledgements First and foremost I express gratitude to my advisor, Professor Alfred Hero, for his support and guidance with patience through many years. My development as a researcher and completion of this thesis would not have been possible without his insights, knowledge, and full support for my research. I thank Dr. Steven Damelin for the discussions we have had over the years and his reviews on my dissertation. I also extend thanks to the other committee members, Professor for all the memories we shared from the beginnings in our Ph.D. studies, and for all the funs we had solving the puzzles. I extend thanks to Huh. I also express my gratitude to Dr. Se Young Chun for his mentorship. Finally I would like to thank my family for their support. I thank my wife Sun Hyo for her love and support. I would never be able to come this far without her.