Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-healing cementitious materials by the combination of microfibres and superabsorbent polymers

Concrete cracks due to its low tensile strength. The presence of cracks endangers the durability as they generate a pathway for harmful particles dissolved in fluids and gases. Without a proper treatment, maintenance costs will increase. Self-healing can prevail in small cracks due to precipitation of calcium carbonate and further hydration. Therefore, the use of microfibres is proposed to control the crack width and thus to promote the self-healing efficiency. In the current research, crack sealing is also enhanced by the application of superabsorbent polymers. When cracking occurs, superabsorbent polymers are exposed to the humid environment and swell. This swelling reaction seals the crack from intruding potentially harmful substances. Mortar mixtures with microfibres and with and without superabsorbent polymers were investigated on their crack sealing and healing efficiency. Regain in mechanical properties upon crack healing was investigated by the performance of four-point-bending tests, and the sealing capacity of the superabsorbent polymer particles was measured through a decrease in water permeability. In an environment with a relative humidity of more than 60%, only samples with superabsorbent polymers showed healing. Introducing 1 m% of superabsorbent polymer gives the best results, considering no reduction of the mechanical properties in comparison to the reference, and the superior self-sealing capacity.
Transnuclear TRP 1-specific CD 8 T cells with high or low affinity TCRs show equivalent anti-tumor activity

We have generated, via somatic cell nuclear transfer, two independent lines of transnuclear (TN) mice, using as nuclear donors CD8 T cells, sorted by tetramer staining, that recognize the endogenous melanoma antigen TRP1. These two lines of nominally identical specificity differ greatly in their affinity for antigen (TRP1high or TRP1low) as inferred from tetramer dissociation and peptide responsiveness. Ex vivo-activated CD8 T cells from either TRP1high or TRP1low mice show cytolytic activity in 3D tissue culture and in vivo, and slow the progression of subcutaneous B16 melanoma. Although naïve TRP1low CD8 T cells do not affect tumor growth, upon activation these cells function indistinguishably from TRP1high cells in vivo, limiting tumor cell growth and increasing mouse survival. The anti-tumor effect of both TRP1high and TRP1low CD8 T cells is enhanced in RAG-deficient hosts. However, tumor outgrowth eventually occurs, likely due to T cell exhaustion. The TRP1 TN mice are an excellent model for examining the functional attributes of T cells conferred by TCR affinity, and they may serve as a platform for screening immunomodulatory cancer therapies.
Experimental results from the ST7 mission on LISA Pathfinder

The Space Technology 7 Disturbance Reduction System (ST7-DRS) is a NASA technology demonstration payload that operated from January 2016 through July 2017 on the European Space Agency’s (ESA) LISA Pathfinder spacecraft. The joint goal of the NASA and ESA missions was to validate key technologies for a future space-based gravitational wave observatory targeting the source-rich millihertz band. The two primary components of ST7-DRS are a micropropulsion system based on colloidal micro-Newton thrusters (CMNTs) and a control system that simultaneously controls the attitude and position of the spacecraft and the two free-flying test masses (TMs). This paper presents our main experimental results and summarizes the overall performance of the CMNTs and control laws. We find the CMNT performance to be consistent with preflight predictions, with a measured system thrust noise on the order of 100 nN / √ Hz in the 1 mHz ≤ f ≤ 30 mHz band. The control system maintained the TM-spacecraft separation with an RMS error of less than 2 nm and a noise spectral density of less than 3 nm / √ Hz in the same band. Thruster calibration measurements yield thrust values consistent with the performance model and ground-based thrust-stand measurements, to within a few percent. We also report a differential acceleration noise between the two test masses with a spectral density of roughly 3 fm / s 2 / √ Hz in the 1 mHz ≤ f ≤ 30 mHz band, slightly less than twice as large as the best performance reported with the baseline LISA Pathfinder configuration and below the current requirements for the Laser Interferometer Space Antenna mission.
A Study of the Relationship between the Taste Sensitivity of Phenylthiocarbamide (PTC) and Blood Pressure (Random Sample from the Students of Qurna College/Basrah-Iraq)

The present study aimed to detect the relationship between taste sensitivity of phenylthiocarbamide (PTC) and pressure (systolic and diastolic) among a group of 138 individuals of both sexes (64 males and 74 females), representing a random sample of students and some professors of, aged (20 - 50) years. The study also included the relationship between eating salted foods and their effect on pressure among males and females of tasters and non-tasters of (PTC) substance. The results showed an increase in the proportion of the phenotypic style of tasters compared to non-tasters among males (75%, 25%) and females (77.03%, 22.97%) respectively. The average of systolic pressure was (117.91 mm/Hg, 107.06 mm/Hg) and diastolic (78.22 mm/Hg, 68.71 mm/Hg) among tasters and on-tasters for both sexes respectively. The results showed significant differences in systolic pressure among non-tasters female compared to their counterpart tasters [X2 (DF = 1) 5.783, P ≤ 0.05]. Such an effect doesn’t appear among males. The results showed an increase of non-tasters (66.58%) among those with abnormal blood pressure and (68.42%) of those who consumed salted foods.
Association of the VLDLR rs 3780181 SNP and serum lipid levels in the Jing and Han populations

The very low-density lipoprotein receptor gene (VLDLR) rs3780181 single nucleotide polymorphism (SNP) has been associated with total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels in a previous genome-wide association study, but little is known about such association of the VLDLR rs3780181 SNP and serum lipid profiles in the Chinese populations. The present study was to detect the association of the VLDLR rs3780181 SNP and several environmental factors with serum lipid levels in the Jing and Han populations. Genotyping of the VLDLR rs3780181 SNP in 707 subjects of Jing and 707 participants of Han peoples was performed by polymerase chain reaction and restriction fragment length polymorphism, and then confirmed by direct sequencing. The VLDLR rs3780181 G allele frequency was lower in Jing than in Han (P<0.05). The G allele carriers had lower serum TC levels in Jing, and lower LDL-C levels in Han than the G allele non-carriers. Subgroup analyses showed that the G allele carriers had lower TC levels in Jing females but not in Jing males and lower LDL-C and apolipoprotein B levels in Han females but not in Han males. Serum lipid parameters were also correlated with several environmental factors in the Jing and Han populations, or in males and females in both ethnic groups. The association of the VLDLR rs3780181 SNP and serum lipid levels was different between the Jing and Han populations. These trends of association suggest that this SNP might have racial/ethnic or gender specificity. The differences in the serum lipid profiles between the two ethnic groups might be partly attributed to the differences in this SNP and the SNPenvironmental interactions.
A multiport vector network analyzer with high-precision and realtime capabilities for brain imaging and stroke detection

Abstract Medical imaging is of great importance for patients affected by stroke. Since an early examination of the patient is necessary for successful recovery, there is room to improve the existing capabilities of analysis. Common systems like magnetic resonance imaging or computed tomography are precise, but stationary, and therefore, not ideally suited for the early analysis of stroke. The presented multiport vector network analyzer system uses electromagnetic tomography (EMT) as an alternative imaging technique. It consists of a network of distributed electronic sensor nodes which improve important parameters: the parallel measurement setup reduces the measurement time as low as 160 ms for a 200-port S-parameter matrix and it is capable of measuring signal levels down to − 150 dBm. The electronics allow a compact, movable packaging, leading the way for future portable devices. The detection of stroke models was examined by test measurements of a phantom. The data was analyzed by the help of an inverse reconstruction algorithm. The possibility of building portable setups which can be even applied to patients inside an ambulance, makes EMT a suitable alternative for early stroke detection. It can help in shortening the recovery of patients, by providing an early analysis of the brain.
A Neural Framework for Learning DAG to DAG Translation

Learning representations of graph data is essential to many real-world machine learning problems, and therefore, there has been a recent push in representation learning community to adapt deep learning techniques for graph-structured data, either as input or output of the model. However, almost all of these techniques only focus on either the input or the output graph space and not both. In this paper, we propose a neural model for learning deep functions on the space of directed acyclic graphs (DAGs) where both the domain and the range of the target function are DAG spaces, and develop a DAG-to-DAG translation model. We consider a supervised learning mechanism to efﬁciently train our DAG-to-DAG simpliﬁcation model. Our experiments show the ability of the model to learn the structural signals and patterns in both input and output spaces, showing improved syntax measures in generated outputs by over 20% and edge classiﬁcation by 44%.
Contributions of Phoneme Operating Ability in Acquisition of Kana Reading

読字を行う際, 音韻単位を意識する必要がある. 本研究では, 小児が仮名文字言語を学習していく過程における読字能力と音韻操作能力の発達的関連性について検討するため横断的検討を行った. 対象は3歳6ヵ月から9歳1ヵ月の健常児 (n=64) で, 仮名読字能力に関する検査と音韻操作能力 (分解・抽出・文字配列) の検査を行った. その結果, 健常児において各読字過程の能力が機能的な読字行為を成立させるために, 音韻操作能力の獲得が必要条件となることが明らかになった. また, 音韻操作能力も発達に伴い, 課題項目間の関連性が変化していくことが示された.
Quasi-Monte Carlo methods

where f : [0, 1] → R and d ∈ N is large (usually d ≥ 4). As is shown in [3] classical methods of numerical integration are ill-suited for such problems. A number of related methods that alleviates this problem are known as Monte Carlo integration methods. Such methods can be shown to have a probabilistic error bound of order O ( n−1/2 ) (where n is the number of function evaluations). In this term paper we will introduce other methods of approximating the before-mentioned integral, namely quasi-Monte Carlo methods, which are super cial similar to Monte Carlo methods but have certain advantages, especially for moderately sized d (e.g. d < 20). Monte Carlo methods use a sequence of (indepenent) random numbers to determine the points at which f is evaluated. Random numbers, however, have, e.g., the disadvantage that they exhibit clustering behavior. QuasiMonte Carlo methods, on the other hand, use a fully deterministic sequences that tries to evenly covers the unit cube. This rather vague notion of evenly covers will be made more precise in the following section by the so called discrepancy of a sequence. The development in this term paper mainly follows [1] and [6].
Sizing the star cluster population of the Large Magellanic Cloud

The number of star clusters that populate the Large Magellanic Cloud (LMC) at deprojected distances < 4 deg has been recently found to be nearly double the known size of the system. Because of the unprecedented consequences of this outcome in our knowledge of the LMC cluster formation and dissolution histories, we closely revisited such a compilation of objects and found that only ~ 35 per cent of the previously known catalogued clusters has been included. The remaining entries are likely related to stellar overdensities of the LMC composite star field, because there is a remarkable enhancement of objects with assigned ages older than log(t yr-1) ~ 9.4, which contrasts with the existence of the LMC cluster age gap; the assumption of a cluster formation rate similar to that of the LMC star field does not help to conciliate so large amount of clusters either; and nearly 50 per cent of them come from cluster search procedures known to produce more than 90 per cent of false detections. The lack of further analyses to confirm the physical reality as genuine star clusters of the identified overdensities also glooms those results. We support that the actual size of the LMC main body cluster population is close to that previously known.
Search for High-mass Resonances in Z(ll)gamma Final State at CMS

A search for a heavy resonance decaying to Zγ, with the Z boson further decaying to pairs of electrons or muons is presented. The search strategy is to look for an excess above the non- resonant Standard Model background on the l+l−γ invariant mass spectrum. The search is based on 13 TeV proton-proton collision data collected with the CMS detector, corresponding to the integrated luminosity of 12.9/fb.
Improving Customer Experience Using Sentiment Analysis in E-Commerce

In today’s world, millions of online users post their opinions on product features, services, quality, benefits and other values of the products. These opinions or sentiment data generated via different communication mediums often include vital data points that can be fruitful for businesses in understanding customer experiences, products quality and services. The E-commerce companies considered social media platform for new product launch, promotion of products and features or establishing a successful business to customer relationship which produces great results. Analytics on this Social media data helps in identifying the customers in the right demographic, psychographic and lifestyle group. This chapter identifying important characteristics of customer reviews which help businesses houses to improve their marketing strategies.
Metallo β‐Lactamases

The metallo-β-lactamases (class B β-lactamases) confer bacterial resistance to β-lactam antibiotics and are therefore targets for the development of clinical agents against resistant strains of bacteria. They are found in a wide variety of bacteria and act on a broad spectrum of substrates including penicillins, cephalosporins, and carbapenems, as well as on some inhibitors of serine-β-lactamases. These ∼25 000 Da zinc-dependent enzymes have been studied extensively in recent years, and crystal structures have been determined for the enzymes from five different bacteria representing two different sequence subclasses (B1 and B3). The active site is located at the interface between two α/β domains where two zinc atoms bind. This review surveys the current understanding of these enzymes, with emphasis on structural studies, spectroscopy, kinetics, and proposals for the catalytic mechanism. 3D Structure Keywords: metallo-β-lactamase; class B β-lactamase; β-lactam antibiotics; antibiotic resistance; zinc enzymes; di-zinc cluster; binuclear zinc center
Congressional control of state taxation: evidence and lessons for federalism theory

I present for the first time in the literature a quantitative analysis of the efficacy of the “political safeguards of federalism. ” I also test the popular theory that congressional control of state authority to tax maximizes national welfare. Both analyses rely on a hand-collected data set of every federal statute from 1789 to 2011 affecting state power to tax. Overall, the data suggest that federal decisions to curtail state autonomy are influenced by congressional self-interest. Conditional on enactment, statutes affecting state taxing power are more likely to reduce state authority when a concentrated special interest group stands to benefit and also when the reduction would diminish competition between states and Congress. I argue that these results suggest that state power to influence Congress is not absolute, and that they should cast doubt on recent calls to grant control of state taxing authority solely to Congress.
TERNARY PATTERNS AND MOMENT INVARIANTS FOR TEXTURE CLASSIFICATION

Texture extraction and classification is the key feature that is used in pattern recognition and classification. Binary patterns are very powerful discrimination operators that are able to extract texture features irrespective of its illumination changes. This paper mainly focuses on extraction of fabric texture patterns that are used in discriminating the defects and the non-defects. A ternary pattern is a powerful tool for extracting the microstructures of the images, used for feature extraction that has robustness towards the illumination invariance. On the other hand, a Zernike moment which is simultaneously invariant to similarity transformation and rotation is also explained. Experimental analysis is conducted both on standard texture images and fabric images. The performance of the proposed approach is evaluated using SVM, KNN and Bayes classifiers.
Sparse Belief Propagation for Joint Inference of Entities , Relations , and Coreference

Although joint inference has been a popular approach to avoid cascading of errors when inferring multiple natural language tasks, its application to information extraction has been limited to modeling only two tasks at a time. In this paper, we focus on three crucial tasks in the information extraction pipeline: entity tagging, relation extraction, and coreference. We propose a single, joint graphical model that represents the various dependencies between the tasks, allowing bi-directional flow of uncertainty between the tasks. Since the resulting model has a high tree-width and contains a large number of variables, we present a novel extension to belief propagation that sparsifies the domains of variables during inference. Experimental results show that our joint model provides consistently improved results on all three tasks as more dependencies are captured, in particular our joint model obtains 12% error reduction on tagging over the isolated model, and our inference technique is 30 times faster than regular belief propagation.
AUVs-a technology whose time has come

Autonomous underwater vehicles (AUVs) were for decades either expensive military systems or very low cost academic research tools. This technology has evolved into the commercial sector where the number of AUVs being used for offshore surveys and other tasks is increasing at a rapid pace. It is obvious that AUV technology has arrived and the cusp of the transition curve has been reached. This paper addresses the state-of-the-art of AUV technology, discusses the systems being employed offshore, and provides a peek into the future of this exciting field.
Using evolutionary economics to explain predator-prey anomalies in the fisheries or explaining micky mouse's ears

The development of several sub-fields of general economics, including those of bounded rationality, institutional economics and the evolutionary economics, has expanded the scope and intensity of the dialogue both within economics, as well as between economists and other scientists. One of the more important preoccupations of early evolutionary economics was the development of an aggregate growth theory with more realistic micro-foundations of firm behavior. Now theorizing and modeling of evolutionary economic processes is also a preoccupation of chaos theorists. Fleet evolution in a competitive fishery displays many features of interest, one of which is the strong similarity with predator-prey relationships in population biology. However, aggregate data on Heel behavior sometimes reveal humps or "ears"' which, when fitted to differential equations explaining stock and fleet evolution, are smoothed. Such smoothing reveals the dominant process, but it filters out other important secondary processes of interest to resource managers. These secondary processes can include price effects, technological innovation and diffusion, and complexities in the ecosystem that change stock parameters. This paper discusses how an evolutionary economics approach to modeling firm behavior might be useful in understanding important anomalies in the predator-prey trajectory. It concludes with a discussion on the management importance of micro-level phenomena on the ultimate trajectory taken by the fleet in response to the stock The conclusions are that while the dominant predator-prey process is important In explaining competitive dynamics and resource depletion, unexpected ecological phenomena and micro-level behavior of individual boat owners are also important reasons for precipitous collapses in certain fisheries. This may suggest substantial revision in the theoretical and policy tools used to manage fisheries. Using evolutionary economics to explain PREDATOR-PREY ANOMALIES in the fisheries or explaining Micky MOUSE'S EARS ". A theory of rational behavior must be quite as much concerned with the characteristics of the rational actors-the means they use to cope with uncertainly and cognitive complexityas with the characteristics of the objective environment in which they make their decisions. " H. Simon (1978)
Application of laser spectroscopy for measurement of exhaled ethane in patients with lung cancer

ee front matter & 2005 med.2005. 05.006 ing author. Tel. : +44 141 ess: kskeldon@physics.g Summary There is increasing interest in ethane (C2H6) in exhaled breath as a noninvasive marker of oxidative stress (OS) and thereby a potential indicator of disease. However, the lack of real-time measurement techniques has limited progress in the field. Here we report on a novel Tunable Diode Laser Spectrometer (TDLS) applied to the analysis of exhaled ethane in patients with lung cancer. The patient group (n 1⁄4 52) comprised randomly selected patients presenting at a respiratory clinic. Of these, a sub-group (n 1⁄4 12) was subsequently diagnosed with lung cancer. An agematched group (n 1⁄4 12) corresponding to the lung cancer group was taken from a larger control group of healthy adults (n 1⁄4 58). The concentration of ethane in a single exhaled breath sample collected from all subjects was later measured using the TDLS. This technique is capable of real-time analysis of samples with accuracy 0.1 parts per billion (ppb), over 10 times less than typical ambient levels in the northern hemisphere. After correcting for ambient background, ethane in the control group (26% smokers) ranged from 0 to 10.54 ppb (median of 1.9 ppb) while ethane in the lung cancer patients (42% smokers) ranged from 0 to 7.6 ppb (median of 0.7 ppb). Ethane among the non-lung cancer patients presenting for investigation of respiratory disease ranged from 0 to 25 ppb (median 1.45 ppb).