Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrating media clusters and value networks: Insights for management theory and research from a case study of Mediapolis in Finland

Abstract We argue that there is scholarly potential in linking theory on industry clusters with theory on value networks. To date, these two theoretical streams have developed largely in parallel, limiting understanding of how the two are integrated in practice. By considering these theories in combination and the unique context of creative industries, we generate insight on the management of clusters as value networks. Our ongoing longitudinal empirical case is a new media cluster called ‘Mediapolis’ in the city of Tampere, Finland. The case study commenced at the time the cluster was in the planning and early operational stage. Results demonstrate the usefulness of linking the two theories, and support a future research agenda examining the types of cluster configurations meeting the criteria of value networks, and the conditions under which value network cluster configurations are more sustainable than simply a spatial agglomeration of clusters.
Selective metal parallel shunting inductor and its VCO application

The methodology to calculate the parasitic capacitances in differential symmetric inductors will be presented in this paper. Inspired by the proposed methodology, a method called selective metal parallel shunting (SMPS) can move f/sub Qmax/ onto the desired frequency without additional processing steps. Based on the proposed methodology, a customized program is developed to predict Q/sub max/s and f/sub Qmax/s of on-chip inductors. Differential symmetric inductors and spiral ones with planar, all metal parallel shunting (AMPS), and SMPS configurations have been implemented in a 1P4M 0.35-/spl mu/m CMOS process to verify the proposed method. Moreover, three 2.3-2.4 GHz voltage-controlled oscillators (VCOs) using planar, AMPS, and SMPS inductors, have also been realized. The phase noise of the VCO using SMPS inductors can be improved by 9.3 and 6 dB at 100-kHz offset frequency, respectively, compared to the VCOs using planar and AMPS inductors. The proposed SMPS technique can not only be applicable to VCO but also other RF circuits.
Wally Welker 1926–2007

Wally Welker died in Madison on 28 November 2007 after a long and innovative career at the University of Wisconsin–Madison. We were both influenced profoundly by his science and his approach to his science as a mentor and as a friend. Figure 1 shows us in photographs of the Laboratory of Neurophysiology in the Department of Physiology at the University of Wisconsin taken in the summers of 1962 and 1965. Figure 2 is a portrait of Wally taken more recently. It captures the ‘‘twinkle’’ that was often there in his eyes. We thank his widow and longtime partner Carol Dizak for this wonderful image and permission to include it here. What follows are our separate recollections of Wally’s significant impact on the studies of ‘‘Vibrissae’’ and ‘‘Barrels’’ presented on 13 November 2008 at Barrels XXI in Baltimore, Maryland.
Study on vibration of reciprocating pump pipelines

Due to the periodic movement of the piston in the reciprocating pump, the fluid will cause 8 pressure pulsation, and the vibration of the pipeline will lead to instrument distortion, pipe failure 9 and equipment damage. Therefore, it is necessary to study the vibration phenomena of the 10 reciprocating pump pipeline based on the pressure pulsation theory. This paper starts from the 11 reciprocating pump pipe pressure pulsation caused by fluid, pressure pulsation in the pipeline and 12 the excited force is calculated under the action of the reciprocating pump. Then, the numerical 13 simulation model is established based on the pipe beam model, and the rationality of the numerical 14 simulation method is verified by the indoor experiment. Finally, a case study is taken as an example 15 to analyze the vibration law of the pipeline system, and proposed the stress reduction and vibration 16 reduction measures. The main conclusions are drawn from the analysis: (1) Excited force is 17 produced in the bend or tee joint, and it can also influence the straight pipe in different levels; (2) In 18 this pipeline system, the pump discharge pipe has a larger vibration amplitude and lower natural 19 frequency; (3) The vibration amplitude increases with the pipe thermal stress, and when the oil 20 temperature is higher than 85°C, it had a greater influence on the vertical vibration amplitude of the 21 pipe. 22
Evaluation of effective data reduction methods for MMR coding

To obtain higher speed and higher quality of image communications economically, a standard coding method with a higher efficiency is required. This paper proposes three methods to eliminate horizontal-mode codes (which are mainly contained in noise components) from each coding process. The idea is based on the fact that MMR coding can be highly compressed by rising 2-D correlations. The three proposed methods are compared in respect of compression rate, processing speed, and image quality by using document images. The results show that the run-length code reduction method is best, the compression rate being higher than conventional methods by 19.6% (maximum) and 12.7% (mean), the processing speed being 2803 times that of conventional binary-image processing, and the image quality being high due to noise elimination. © 1998 Scripta Technica. Syst Comp Jpn, 29(2): 9–18, 1998
Microbially corrected amino acid composition of rumen-undegraded feed protein and amino acid degradability in the rumen of feeds enclosed in nylon bags

1. In the previous work (Varvikko & Lindberg, 1985), 15N-labelled rapeseed (Brassica napus), barley, ryegrass (Lolium perenne) and barley straw were incubated in the rumen in nylon bags for 5, 12 and 24 h and microbial nitrogen in the residues was quantified using the feed 15N-dilution method. In the present study, residual amino acids (AA) of these feeds were analysed, and microbially corrected AA of feed origin (feed AA) were estimated as the difference between total residual AA and respective microbial AA, assuming a constant AA composition for the microbial protein. 2. In barley and barley-straw residues, and also in ryegrass incubated in the rumen for 24 h, very large enrich- ment by microbial N and AA-N was found. The microbial enrichment was rather small in rapeseed residues and ryegrass incubated for 5 or 12 h. During the rumen incubation, feed N and AA-N (g/kg feed dry matter (DM)) decreased very clearly in all the feeds, and feed and incubation time effects were always statistically significant (P < 0.001). 3. The slow degradation of essential (E) feed AA compared with the respective non-essential (NE) AA degradation increased the proportion of feed EAA (g/kg determined feed AA) in barley and barley-straw residues. In rapeseed and ryegrass, residual feed EAA: NEAA remained very similar to the original. Branched-chain (Br) AA tended to increase proportionally in all the feed residues, suggesting these AA to be, on average, more resistant against microbial degradation in the rumen than other AA. Similarly, lysine was clearly increased in barley residues. A rumen degradation faster than the average rate caused decreased residual feed glutamic acid in rapeseed; methionine, alanine and glycine in barley; arginine and alanine in ryegrass; and methionine, asparagine and tyrosine in barley straw. Feed and incubation time effects were significant (P < 0.054–001) for feed AA (g/kg determined feed AA) grouped as EAA, BrAA or NEAA, and for most individual AA, as well as for feed AA disappearance (%) and relative amounts (%) of feed AA in the respective residual AA. 4. According to present findings, AA composition of the rumen-undegraded vegetable feed residues may markedly differ, either quantitatively or qualitatively (or both), from their original AA composition. When determining the feed AA composition of nylon-bag residues, the microbial error may be very large with starchy or fibrous feeds of low protein content. The microbial AA do not, however, considerably confuse the AA determination of protein-rich feeds.
Impact of sex on the prognostic value of high-sensitivity cardiac troponin I in the general population: the HUNT study.

BACKGROUND A new, high-sensitivity assay for cardiac troponin I (hs-cTnI) permits evaluation of the prognostic value of cardiac troponins within the reference interval. Men have higher hs-cTnI concentrations than women, but the underlying pathophysiological mechanisms and prognostic implications are unclear. The aim of this study was to assess the potential impact of sex on the association between hs-cTnI and cardiovascular death. METHODS By use of the Architect STAT High-Sensitive Troponin assay, we measured hs-cTnI in 4431 men and 5281 women aged ≥20 years participating in the prospective observational Nord-Trøndelag Health Study (HUNT). RESULTS hs-cTnI was detectable in 98.5% of men and 94.7% of women. During a mean follow-up period of 13.9 years, 708 cardiovascular deaths were registered. hs-cTnI was associated with the incidence of cardiovascular death [adjusted hazard ratio (HR) per 1 SD in log hs-cTnI 1.23 (95% CI 1.15-1.31)], with higher relative risk in women than men [HR 1.44 (1.31-1.58) vs 1.10 (1.00-1.20); Pinteraction < 0.001]. This finding was mediated by both lower risk associated with low hs-cTnI concentrations in women than in men and higher risk associated with high concentrations of hs-cTnI in women than in men. Male sex was associated with a higher risk of cardiovascular death [HR 1.28 (1.11-1.49)], but after adjustment for hs-cTnI, this association disappeared [HR 0.87 (0.75-1.02)]. CONCLUSIONS The prognostic value of hs-cTnI concentrations in the general population is stronger in women than in men. Subtle impairment of cardiovascular status may contribute to higher hs-cTnI concentrations in men, reflecting sex-dependent differences in cardiovascular risk.
A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems

In this paper, we present a metacognitive sequential learning algorithm for a neuro-fuzzy inference system for classification tasks, which is referred to as a “metacognitive neuro-fuzzy inference system (McFIS). ” The McFIS learning algorithm is developed based on the principles of the best human learning strategy, viz., a self-regulatory learning strategy in a metacognitive framework. McFIS has two components: a cognitive component and a metacognitive component. A neuro-fuzzy inference system forms the cognitive component of the McFIS, and a self-regulatory learning mechanism forms its metacognitive component. The learning ability of the cognitive component is monitored and controlled by the self-regulatory learning mechanism. For each sample in the training dataset, the metacognitive component uses its self-adaptive thresholds to choose one of the following learning strategies based on the criteria that depends on class-specific knowledge: 1) sample deletion; 2) sample learning; and 3) sample reserve. Thus, the metacognitive component decides what-to-learn, when-to-learn, and how-to-learn the training samples. When a new rule is added, the parameters of the new rule are assigned such that the rule has minimum overlapping with the adjacent rules as well as the localization property of the Gaussian rules is efficiently exploited. Performance of the McFIS is evaluated using several well-known benchmark multicategory/binary classification datasets from the University of California, Irvine machine learning repository and on a practical human action recognition problem. The results clearly indicate that the proposed metacognitive learning helps the McFIS achieve better performance than other existing classifiers.
Expression survey of genes critical for tooth development in the human embryonic tooth germ

In the developing murine tooth, the expression patterns of numerous regulatory genes have been examined and their roles have begun to be revealed. To unveil the molecular mechanisms that regulate human tooth morphogenesis, we examined the expression patterns of several regulatory genes, including BMP4, FGF8, MSX1, PAX9, PITX2, and SHOX2, and compared them with that found in mice. All of these genes are known to play critical roles in murine tooth development. Our results show that these genes exhibit basically similar expression patterns in the human tooth germ compared with that in the mouse. However, slightly different expression patterns were also observed for some of the genes at certain stages. For example, MSX1 expression was detected in the inner enamel epithelium in addition to the dental mesenchyme at the bell stage of the human tooth. Moreover, FGF8 expression remained in the dental epithelium at the cap stage, while PAX9 and SHOX2 expression was detected in both dental epithelium and mesenchyme of the human tooth germ. Our results indicate that, although slight differences exist in the gene expression patterns, the human and mouse teeth not only share considerable homology in odontogenesis but also use similar underlying molecular networks. Developmental Dynamics 236:1307–1312, 2007. © 2007 Wiley‐Liss, Inc.
A Dual-Band Out-of-Phase Power Divider

This letter proposes a novel out-of-phase power divider that operates at two arbitrary frequencies. Because of the use of the balanced transmission line, namely the double-sided parallel-strip line (DSPSL), the out-of-phase feature between the two output ports can be made frequency-independent. The power divider employs three lumped components (an inductor L, a capacitor C and a resistor R) in serial connection to achieve isolation between the two output ports. The design equations are derived using the odd-mode and even-mode analysis. Experimental results show that good matching, isolation and amplitude balance are simultaneously achievable for both of the two operating frequency bands.
Eigenvalue Optimization for Solving the MAX-CUT Problem

The purpose of this semester project is to investigate the Spectral Bundle Method, which is a specialized subgradient method particularly suited for solving large scale semidefinite programs that can be cast as eigenvalue optimization problems of the form min y∈R aλmax(C − m ∑ i=1 Aiyi) + b T y, where C and Ai are given real symmetric matrices, b ∈ R allows to specify a linear cost term, and a > 0 is a constant multiplier for the maximum eigenvalue function λmax(·). In particular, a semidefinite relaxation of the well-known maxcut problem belongs to this class of problems. After a general description of the Spectral Bundle Method, a matlab implementation of the method designed for solving the eigenvalue relaxation of the max-cut problem is presented. Finally, it is explained how to extract an optimal solution of the original max-cut problem from the optimal solution of the eigenvalue relaxation.
Ethylene is involved in root phosphorus remobilization in rice (Oryza sativa) by regulating cell-wall pectin and enhancing phosphate translocation to shoots.

BACKGROUND AND AIMS Plants are able to grow under phosphorus (P)-deficient conditions by coordinating Pi acquisition, translocation from roots to shoots and remobilization within the plant. Previous reports have demonstrated that cell-wall pectin contributes greatly to rice cell-wall Pi re-utilization under P-deficient conditions, but whether other factors such as ethylene also affect the pectin-remobilizing capacity remains unclear. METHODS Two rice cultivars, 'Nipponbare' (Nip) and 'Kasalath' (Kas) were cultured in the +P (complete nutrient solution), -P (withdrawing P from the complete nutrient solution), +P+ACC (1-amino-cyclopropane-1-carboxylic acid, an ethylene precursor, adding 1 μm ACC to the complete nutrient solution) and -P+ACC (adding 1 μm ACC to -P nutrient solution) nutrient solutions for 7 d. KEY RESULTS After 7 d -P treatment, there was clearly more soluble P in Nip root and shoot, accompanied by additional production of ethylene in Nip root compared with Kas. Under P-deficient conditions, addition of ACC significantly increased the cell-wall pectin content and decreased cell-wall retained P, and thus more soluble P was released to the root and translocated to the shoot, which was mediated by the expression of the P deficiency- responsive gene OsPT2, which also strongly induced by ACC treatment under both P-sufficient and P-deficient conditions. CONCLUSIONS Ethylene positively regulates pectin content and expression of OsPT2, which ultimately makes more P available by facilitating the solubilization of P fixed in the cell wall and its translocation to the shoot.
Rapid imaging of hyperpolarized gas using EPI

Rapid repetitive MRI of hyperpolarized (HP) gases using echo‐planar imaging (EPI) has been theoretically investigated and experimentally demonstrated for 3He in human lung. A quantitative treatment of signal attenuation and magnetization consumption for the unique circumstance of a rapidly diffusing nonrenewable magnetization source has been performed. Rapid (compared to the human respiratory cycle) and repetitive imaging of the lung gas space with EPI and a single delivered bolus of HP‐3He is feasible using low flip angles, provided the voxels are not too small. A coarse‐grid (32 × 64) EPI pulse sequence has been developed and implemented to image the lungs of healthy volunteers during rebreathing of a HP‐3He/N2 gas mixture. A set of three 10‐mm axial slices was imaged every 0.12 sec for the 36 sec duration of rebreathing, yielding a real‐time visualization of ventilation. Despite some mild artifacts, the images are of good quality and show changes in gas density related to respiratory physiology. Magn Reson Med 42:507–514, 1999. © 1999 Wiley‐Liss, Inc.
Similarity measures for sequential data

Expressive comparison of strings is a prerequisite for analysis of sequential data in many areas of computer science. However, comparing strings and assessing their similarity is not a trivial task and there exists several contrasting approaches for defining similarity measures over sequential data. In this paper, we review three major classes of such similarity measures: edit distances, bag‐of‐word models, and string kernels. Each of these classes originates from a particular application domain and models similarity of strings differently. We present these classes and underlying comparisons in detail, highlight advantages, and differences as well as provide basic algorithms supporting practical applications. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 296–304 DOI: 10.1002/widm.36
A qHLRT Modulation Classifier with Antenna Array and Two-Stage CFO Estimation in Fading Channels

A likelihood ratio test (LRT) -based modulation classifier is sensitive to unknown parameters, such as carrier frequency offset (CFO), phase shift, etc. To better handle this problem, a robust antenna array-based quasi-hybrid likelihood ratio test (qHLRT) approach is proposed in this paper. A non-maximum likelihood (ML) estimator is employed to reduce the computational burden of multivariate maximization. A double CFO estimation scheme is also proposed, which increases the accuracy of CFO estimation. To deal with channel fading, maximal ratio combining approach is applied for CFO estimation as well as the computation of the likelihood functions. It is shown that when implementing with the nonlinear least-squares (NLS) phase parameters estimator and the method-of-moment (MoM) amplitude estimator, our scheme offers an effective way to recognize linear modulation formats with unknown parameters in fading channels.
An Expert System Approach for Criteria Weighting in Multicriteria Analysis

This paper presents an expert system approach to criteria weighting for solving multicriteria analysis problems involving repetitive selection of alternatives regarding multiple criteria for accomplishing a specific task. Linguistic terms modelled by fuzzy numbers are used to effectively formulate the imprecise and subjective weighting process. A fuzzy knowledge base is constructed to acquire the knowledge of experts in criteria weighting on which consistent and reliable criteria weights can be derived. An empirical study of a real dredger-dispatching problem is presented. The result shows that the expert system approach is effective and reliable for solving practical problem of this kind due to the simplicity in concept, the easiness in use, and the consistency in determining criteria weights.
A Theory of Decisive Leadership

We present a theory that rationalizes voters' preferences for decisive leaders. Greater decisiveness entails an inclination to reach decisions more quickly conditional on fixed information. Although speed can be good or bad, agency problems between voters and politicians create preferences among voters for leaders who perceive high costs of delay and have little uncertainty about how to weigh different aspects of the decision problem, and hence who make decisions more rapidly than typical voters. Officials who aspire to higher office therefore signal decisiveness by accelerating decisions. In elections, candidates with reputations for greater decisiveness prevail despite making smaller compromises, and therefore earn larger rents from office holding.
CTCF mediates the TERT enhancer–promoter interactions in lung cancer cells: Identification of a novel enhancer region involved in the regulation of TERT gene

Telomerase activation is a hallmark of cancer. Although the regulation of the telomerase reverse transcriptase catalytic subunit (TERT), the rate‐limiting factor for telomerase activity, has been studied intensively it remains incompletely understood. In cells devoid of telomerase activity, TERT is embedded in a region of condensed chromatin and the chromatin remodeling protein CCCTC‐binding factor (CTCF) has been implicated in the inhibition of TERT expression. The importance of TERT activation for cellular immortalization and carcinogenesis is attested by the fact that the gene is expressed in more than 90% of immortal cell lines and tumors and that gain of TERT is the most frequent amplification event in early stage lung cancer. This study was designed to study the mechanisms of regulation of the TERT gene expression by the CTCF transcription factor in three human lung cancer cell lines, A427, A549 and H838. Depletion of CTCF by siRNA resulted in reduced TERT mRNA levels in two (A427 and A549) of the three cell lines. A novel enhancer element was identified approximately 4.5 kb upstream of the TERT transcription start site. Chromatin immunoprecipitation experiments revealed recruitment of CTCF to this enhancer element. Chromosome conformation capture experiments demonstrated the presence of CTCF‐dependent chromatin loops between this enhancer element and the TERT proximal promoter in A427 and A549 cell lines. In summary, the results show that CTCF plays an important role in maintaining TERT expression in a subset of human lung cancer cell lines. This role may be due to CTCF‐dependent enhancer–promoter interactions.
Active Learning of Input Grammars

Knowing the precise format of a program's input is a necessary prerequisite for systematic testing. Given a program and a small set of sample inputs, we (1) track the data flow of inputs to aggregate input fragments that share the same data flow through program execution into lexical and syntactic entities; (2) assign these entities names that are based on the associated variable and function identifiers; and (3) systematically generalize production rules by means of membership queries. As a result, we need only a minimal set of sample inputs to obtain human-readable context-free grammars that reflect valid input structure. In our evaluation on inputs like URLs, spreadsheets, or configuration files, our AUTOGRAM prototype obtains input grammars that are both accurate and very readable - and that can be directly fed into test generators for comprehensive automated testing.