Miracle-dz/UniFAR-FTUs huggingface dataset:
Spreadsheet table transformations from examples

Every day, millions of computer end-users need to perform tasks over large, tabular data, yet lack the programming knowledge to do such tasks automatically. In this work, we present an automatic technique that takes from a user an example of how the user needs to transform a table of data, and provides to the user a program that implements the transformation described by the example. In particular, we present a language of programs TableProg that can describe transformations that real users require.We then present an algorithm ProgFromEx that takes an example input and output table, and infers a program in TableProg that implements the transformation described by the example. When the program is applied to the example input, it reproduces the example output. When the program is applied to another, potentially larger, table with a 'similar' layout as the example input table, then the program produces a corresponding table with a layout that is similar to the example output table. A user can apply ProgFromEx interactively, providing multiple small examples to obtain a program that implements the transformation that the user desires. Moreover, ProgFromEx can help identify 'noisy' examples that contain errors. To evaluate the practicality of TableProg and ProgFromEx, we implemented ProgFromEx as a module for the Microsoft Excel spreadsheet program. We applied the module to automatically implement over 50 table transformations specified by endusers through examples on online Excel help forums. In seconds, ProgFromEx found programs that satisfied the examples and could be applied to larger input tables. This experience demonstrates that TableProg and ProgFromEx can significantly automate the tasks over tabular data that users need to perform.
Effect of dextran 70 and saline on thrombus formation following arteriotomy and intimectomy in small arteries

Twenty‐four arteries of rabbit ears, divided into three groups of eight, were prepared and 32P‐platelets injected. Arteriotomy (7 mm) and intimectomy (5 mm) were performed and in vivo platelet accumulation followed for 2 hours. Group A comprised untreated control animals, group B was treated with 17 ml saline/kg bw, and group C with 1 g dextran and 17 ml saline/kg bw (Macrodex).
The missing indels: an estimate of indel variation in a human genome and analysis of factors that impede detection

With the development of High-Throughput Sequencing (HTS) thousands of human genomes have now been sequenced. Whenever different studies analyze the same genome they usually agree on the amount of single-nucleotide polymorphisms, but differ dramatically on the number of insertion and deletion variants (indels). Furthermore, there is evidence that indels are often severely under-reported. In this manuscript we derive the total number of indel variants in a human genome by combining data from different sequencing technologies, while assessing the indel detection accuracy. Our estimate of approximately 1 million indels in a Yoruban genome is much higher than the results reported in several recent HTS studies. We identify two key sources of difficulties in indel detection: the insufficient coverage, read length or alignment quality; and the presence of repeats, including short interspersed elements and homopolymers/dimers. We quantify the effect of these factors on indel detection. The quality of sequencing data plays a major role in improving indel detection by HTS methods. However, many indels exist in long homopolymers and repeats, where their detection is severely impeded. The true number of indel events is likely even higher than our current estimates, and new techniques and technologies will be required to detect them.
Mediterranean Conference on Information Systems ( MCIS ) Summer 9-4-2014 TRUST IN CO-SOURCED SOFTWARE DEVELOPMENT

Software development projects are increasingly geographical distributed with offshoring. Co-sourcing is a highly integrative and cohesive approach, seen successful, to software development offshoring. However, research of how dynamic aspects of trust are shaped in co-sourcing activities is limited. We present a case study of how the co-sourcing relationship between a certified CMMI-level 5 Danish software company and an offshoring supplier can be conceptualized as an Abstract System. An Abstract System is a dis-embedded social system (such as banking) that is trusted despite lack of detailed understanding or personal trust relations. The paper suggest how certain work practices among developers and managers can be explained using a dynamic trust lens based on Abstract Systems, especially disand re-embedding mechanisms.
Left-Handedness in Professional and Amateur Tennis

Negative frequency-dependent effects rather than innate predispositions may provide left-handers with an advantage in one-on-one fighting situations. Support mainly comes from cross-sectional studies which found significantly enhanced left-hander frequencies among elite athletes exclusively in interactive sports such as baseball, cricket, fencing and tennis. Since professional athletes’ training regimes continuously improve, however, an important unsolved question is whether the left-handers’ advantage in individual sports like tennis persists over time. To this end, we longitudinally tracked left-hander frequencies in year-end world rankings (men: 1973–2011, ladies: 1975–2011) and at Grand Slam tournaments (1968–2011) in male and female tennis professionals. Here we show that the positive impact of left-handed performance on high achievement in elite tennis was moderate and decreased in male professionals over time and was almost absent in female professionals. For both sexes, left-hander frequencies among year-end top 10 players linearly decreased over the period considered. Moreover, left-handedness was, however, no longer seems associated with higher probability of attaining high year-end world ranking position in male professionals. In contrast, cross-sectional data on left-hander frequencies in male and female amateur players suggest that a left-handers’ advantage may still occur on lower performance levels. Collectively, our data is in accordance with the frequency-dependent hypothesis since reduced experience with left-handers in tennis is likely to be compensated by players’ professionalism.
The Effect of Linguistic Proximity on the Occupational Assimilation of Immigrant Men in Canada

This paper contributes to the analysis of the integration of immigrants in the Canadian labour market by focusing in two relatively new dimensions. We combine the large samples of the restricted version of the Canadian Census (1991-2006) with both a new measure of linguistic proximity of the immigrant's mother tongue to that of the destination country, and with information of the occupational skills embodied in the jobs immigrants hold. This allows us to assess the role that language plays in the labour market performance of immigrants and to better study their career progression relative to the native born. Weekly wage differences between immigrants and the native born are driven mostly by penalties associated with immigrants' lower returns to social skills, but not to analytical or manual skills. Interestingly, low linguistic proximity between origin and destination language imposes larger wage penalties to the university-educated, and significantly affects the status of the jobs they hold. The influence of linguistic proximity on the skill content of jobs immigrants hold over time also varies by the educational level of the migrant. We also show that immigrants settling in Quebec and whose mother tongue is close to French have similar or better labour market outcomes (relative to native-born residents in Quebec) than immigrants with close linguistic proximity to English settling outside Quebec (relative to native born residents in the rest of Canada). However, since wages in Quebec are lower than elsewhere, immigrants in Quebec earn less in absolute terms than those residing elsewhere.
A Novel Mutation of NKX2-1 Affecting 2 Generations With Hypothyroidism and Choreoathetosis

The NKX2-1 (TTF-1 or TITF-1) gene on chromosome 14q13 codes for the thyroid transcription factor 1 (TTF-1). It is expressed in the developing brain, lung, and thyroid. Defects have been associated with chorea, hypothyroidism, and lung disease, comprising the “brain-thyroid-lung syndrome. ” We describe here 3 cases of novel missense mutation (c.626G>C; p.Arg209Pro) in NKX2-1 in 2 generations of a nonconsanguinous family. Firstly 2 sons were affected by childhood-onset hypothyroidism and a movement disorder characterized by ataxia in the early years followed by the emergence of a superimposed chorea. The mutation was also found in the granddaughter, when she presented with the same clinical features. We hypothesize that the mutation arose as a result of gonadal mosaicism, as the mutation was not detected in leucocyte DNA from either grandparent. The features are consistent with a diagnosis of Brain-thyroid-lung syndrome, which previously could have been classified as benign hereditary chorea with hypothyroidism.
Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function

Background Genome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function. Methods We performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis. Results The overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P = 5.71 × 10-7). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P = 2.18 × 10-8) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively. Conclusions In this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.
Stretchable and Self-healing Conducting Polymers for Organic Electronics

II Acknowledgements . IV Research Outputs . XXII Awards . XXIII List of Abbreviations . XXIV List of Figures . XXVII List of Tables . XXXIII List of Schemes . XXXIV
Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays

The paper studies asynchronous consensus problems of continuous-time multi-agent systems with discontinuous information transmission. The proposed consensus control strategy is implemented based on the state information of each agent's neighbors at some discrete times. The asynchrony means that each agent's update times, at which the agent adjusts its dynamics, are independent of others'. Furthermore, it is assumed that the communication topology among agents is time-dependent and the information transmission is with bounded time-varying delays. If the union of the communication topology across any time interval with some given length contains a spanning tree, the consensus problem is shown to be solvable. The analysis tool developed in this paper is based on nonnegative matrix theory and graph theory. The main contribution of this paper is to provide a valid distributed consensus algorithm that overcomes the difficulties caused by unreliable communication channels, such as intermittent information transmission, switching communication topology, and time-varying communication delays, and therefore has its obvious practical applications. Simulation examples are provided to demonstrate the effectiveness of the theoretical results.
Increased Virulence in Sunflower Broomrape (Orobanche cumana Wallr.) Populations from Southern Spain Is Associated with Greater Genetic Diversity

Orobanche cumana Wallr. (sunflower broomrape) is a holoparasitic weed that infects roots of sunflower in large areas of Europe and Asia. Two distant O. cumana gene pools have been identified in Spain, one in Cuenca province in the Center and another one in the Guadalquivir Valley in the South. Race F has been hypothesized to have arisen by separate mutational events in both gene pools. In the Guadalquivir Valley, race F spread in the middle 1990’s to become predominant and contained so far with race F hybrids. Recently, enhanced virulent populations of O. cumana have been observed in commercial fields parasitizing race F resistant hybrids. From them, we collected four independent populations and conducted virulence and SSR marker-based genetic diversity analysis. Virulence essays confirmed that the four populations studied can parasitize most of the race F resistant hybrids tested, but they cannot parasitize the differential inbred lines DEB-2, carrying resistance to race F and G, and P-96, resistant to F but susceptible to races G from other countries. Accordingly, the new populations have been classified as race GGV to distinguish them from other races G. Cluster analysis with a set of populations from the two Spanish gene pools and from other areas, mainly Eastern Europe, confirmed that race GGV populations maintain close genetic relatedness with the Guadalquivir Valley gene pool. This suggested that increased virulence was not caused by new introductions from other countries. Genetic diversity parameters revealed that the four populations had much greater genetic diversity than conventional populations of the same area, containing only alleles present in the Guadalquivir Valley and Cuenca gene pools. The results suggested that increased virulence may have resulted from admixture of populations from the Guadalquivir Valley and Cuenca followed by recombination of avirulence genes.
Susceptibility of New Zealand flora to Phytophthora ramorum and pathogen sporulation potential: an approach based on the precautionary principle

Phytophthora ramorum, the cause of sudden oak death in the westernUSAand a damaging pathogen in Europe, is a biosecurity threat of unknown magnitude to New Zealand and Australasia because of its presence in traded ornamental plants. Knowledge of potential hosts acting as carriers and of symptoms caused by the pathogen on such hosts will strengthen precautionary quarantine regulations to prevent inadvertent introductions of P. ramorum into the region. Also, the identification of potential hosts will permit determination of areas at risk within countries that do not have P. ramorum. Susceptibility of New Zealand plants, including 17 endemic and three commercial species (Eucalyptus globulus, Pinus radiata and Acacia melanoxylon), as well as two known Rhododendron cultivar hosts, was determined by analysing the size of lesions on inoculated excised leaves and branches, while infectivity was determined by counting sporangia produced on leaves. In order to identify extremely susceptible hosts, seven species were inoculated using three concentrations of zoospores ranging from low (1×102 zoospores/mL) to high (5×103 zoospores/mL). In branch inoculations, P. radiata and Nothofagus fusca were as susceptible as the Rhododendron cultivars. Pseudopanax arboreus, Fuchsia excorticata and one Rhododendron cultivar were equally susceptible in leaf inoculations. However, F. excorticata was the only species with 100% infected leaves, high foliar sporulation and was highly susceptible at all three zoospore concentrations. Leptospermum scoparium was the only asymptomatic foliar host that had high reisolations of the pathogen. F. excorticata, P. radiata, N. fusca, P. arboreus and L. scoparium should be added to the potential host list for P. ramorum and monitored for symptoms and sporulation in gardens and nurseries in theUSAand Europe. As part of a precautionary strategy, these species are suitable candidates for targeted surveillance programs in high-risk incursion areas of New Zealand. Furthermore, the sympatry of foliar hosts with high infectivity and of highly susceptible stem hosts was identified: these areas may be at risk for the development of a forest epidemic.
Drowsiness discrimination in an overnight driving simulation on the basis of RR and QT intervals

Abstract We examined if ECG-based features are discrimi-native towards drowsiness. Twenty-five volunteers (19–32 years) completed 7×40 minutes of monotonous overnight driving simulation, designed to induce drowsiness. ECG (512 s-1) was recorded continuously; subjective ratings of drowsiness on the Karolinska sleepiness scale (KSS) were polled every five minutes. ECG recordings were divided into 5-min segments, each associated with the mean of one self- and two observer-KSS ratings. Those mean KSS values were binarized to obtain two classes not drowsy and drowsy. The Q-, R- and T-waves in the recordings were detected; R-peak positions were manually reviewed; the Q- and T-detection method was tested against the manual annotations of Physio-net’s QT database. Power spectral densities of RR intervals (RR-PSD) and quantiles of the empirical distribution of heart-rate corrected QTc intervals were estimated. Support-vector machines and random-holdout cross-validation were used for the estimation of the classification error. Using either RR-PSD or QTc features yielded mean test errors of 79.3 ± 0.3 % and 82.7 ± 0.5 %, respectively. Merging RR and QTc features improved the accuracy to 88.3 ± 0.2 %. QTc intervals of the class drowsy were generally prolonged com-pared to not drowsy. Our findings indicate that the inclusion of QT intervals contribute to the discrimination of driver sleepiness.
Bandpass filter of serial configuration with two finite transmission zeros using LTCC technology

This study proposes a second-order bandpass filter of serial configuration. The filter schema incorporates a grounding capacitor, connecting the two conventional parallel LC resonators with the ground, to provide two finite transmission zeros. The impedance matrix and graphical solutions describe proposed filter's operation principle. To demonstrate the proposed filter schema, two bandpass filters, with center frequencies of 2.44 and 4.8 GHz, were designed and implemented using low-temperature co-fired ceramic multilayer technology. The measured results were found to agree well with the simulation results. The 2.44-GHz fabricated bandpass filter was found to possess low in-band insertion loss and high out-band suppression, making it suitable in wireless local area networks, Bluetooth, and RF home links.
Nano-enhanced phase change material effects on the supercooling degree improvement: A review

In this paper, an overview about experimental procedure of phase change material (PCM), in order to enhance its thermal properties is discussed. Enhancement of PCM needs the employment of nanoparticle that would affect the thermo-physical properties. The supercooling degree of PCM influenced by dispersion of nanoparticle which can be controlled by the nucleation process of nanoparticle. Hence, the best candidate material as nucleating agent is preferred in order to maximize the dispersion nanoparticle in PCM. In addition, the tiny structure will cause nanoparticle to have a large surface area that correlates with their physical and chemical properties that react to the thermal-physical properties of PCM. In this review, graphene-based nanoparticle is discussed. The surface area of graphene is the main characteristics used in determining the best thermal physical properties for nano-enhanced phase change material (NEPCM). Due to the best characteristics as base phase change material, inorganic salt hydrates material is reviewed in this paper. However, there have been limited research carried out about the employment of graphene nanoparticles synthesis, characterization and modification process of nanoparticle itself to enhance the thermal physical properties of inorganic PCM.
Times of Change, Times of Turbulence: Seeking an Ethical Framework for Curriculum Development during Critical Transition in Higher Education

Rapid changes in academic work environments raise ethical dilemmas in supporting students, implementing policies, and developing professional practice. New teaching technologies require academics to consider community aspects of learning and teaching and impacts on student learning in networked environments. This paper critically reflects on recent experience at a small Australian regional university adapting teaching-notably through on-line environments-to respond to student learning need diversity. Applying Shapiro's use of the ethics of care, critique, justice and the profession to examine ethical dilemmas associated with increasingly networked and on-line learning, the authors propose that an ethics of community will assist finding practical solutions to ethical dilemmas in curriculum development and delivery. This approach shifts from the individual as moral agent to ethical practice as communal processes. Considering community practices and processes can frame and critique learning and teaching approaches, policies and administration to assist students and staff develop ethical scholarship and professionalism.
Bayesian Optimization of Text Representations

When applying machine learning to problems in NLP, there are many choices to make about how to represent input texts. These choices can have a big effect on performance, but they are often uninteresting to researchers or practitioners who simply need a module that performs well. We propose an approach to optimizing over this space of choices, formulating the problem as global optimization. We apply a sequential model-based optimization technique and show that our method makes standard linear models competitive with more sophisticated, expensive state-of-the-art methods based on latent variable models or neural networks on various topic classification and sentiment analysis problems. Our approach is a first step towards black-box NLP systems that work with raw text and do not require manual tuning.