Miracle-dz/UniFAR-FTUs huggingface dataset:
THE INFLUENCE OF VARIOUS SUBSTANCES ON THE GROWTH OF MOUSE CARCINOMA

We have described the methods used in determining the influence of certain substances on tumor growth, and we measured approximately the degree of reliability of the quantitative method used. We examined with these methods various classes of substances,— distilled water, a number of inorganic salts, inorganic colloidal substances, various organic colloidal and non-colloidal substances, especially various proteids, tuberculin and hirudin alone as well as in combination with other substances. Distilled water, various inorganic sulphur preparations, and various inorganic salts did not show an inhibiting effect on tumor growth sufficient to be detected by means of our first method. Only in the case of gold potassium cyanide was there possibly a slightly retarding influence present. On the other hand, certain colloidal solutions of heavy metals (copper, platinum, gold) retard the growth of a number of tumors of injected animals. Certain combinations of copper salts and casein act in a similar manner. Of the organic substances used, casein, nucleoproteid, and hirudin were active, while the other proteids tested, as well as various other organic substances and tuberculin and lecithin, seemed to be either without effect or weaker than the other substances mentioned as retarding the tumor growth. Hirudin was active and caused in addition to its inhibiting influence the retrogression of a certain number of tumors. Especially active was a combination of hirudin with colloidal copper and of hirudin with nucleoproteid. One single injection of casein or nucleoproteid, or of the Heyden preparation of colloidal copper, leads to a more or less marked edematous condition of a certain number of tumors, while hirudin caused in addition, in many cases, marked hemorrhages in or around the tumors. Other substances which we tested did not show this effect, although their inhibiting action on tumor growth may have been equally strong. Very young tumors (two to six days old) are not retarded in their growth through injection of colloidal copper or hirudin, while nine to thirteen days old tumors are, independently of their size on the ninth day, inhibited in approximately the same relative degree; absolutely, however, the more rapidly growing smaller tumors are more markedly inhibited than the normally more slowly growing larger tumors.
A Haptic Prototype for the Simulationsof Aeronautics Mounting /

This paper presents a haptic simulator that was developed to study the possibilities ooered by the haptic feedback in the eld of the simulations of aeronautics mounting/unmounting operations. This prototype proposes a method to simulate forces and torques with a 3-DOF haptic interface, when manipulating virtual objects. The rotations and translations are treated separately. An interaction paradigm called the \Virtual Haptic Sphere" is used to make up for the lack of torque feedback, and enable the operator to feel the collisions as if he/she is manipulating an \actuated" trackball with force feedback. A simpliied haptic rendering is set up to send back the shocks. The nal plateform proposes diierent functionnal-ities which have been informally evaluated by Airbus France engineers. They approved the concept of the haptic feedback which could make up for the gaps of the current simulation tools.
Mutations in the dopa decarboxylase gene affect learning in Drosophila.

Fruit flies synthesize several monoamine neurotransmitters. Dopa decarboxylase (Ddc) mutations affect synthesis of two of these, dopamine and serotonin. Both transmitters are implicated in vertebrate and invertebrate learning. Therefore, we bred flies of various Ddc genotypes and tested their learning ability in positively and negatively reinforced learning tasks. Mutations in the Ddc gene diminished learning acquisition approximately in proportion to their effect on enzymatic activity. Courtship and mating sequences of the mutants appeared normal, except for one aspect of male courtship that had previously been shown to be experience dependent. In contrast, the effect on behavior patterns that do not involve learning--phototaxis, geotaxis, olfactory acuity, responsiveness to sucrose--was relatively slight under these conditions. Moderate Ddc mutations affected the acquisition of learned responses while leaving memory retention unaltered. This is in contrast to the mutations dunce , rutabaga , and amnesiac , which primarily affect short-term memory.
Noise Reduction Spectrum Estimation PSD Mean WF Design Mel Filter Bank Mel IDCT Apply Filter 1 st Stage VADNest Spectrum Estimation PSD Mean WF Design Mel Filter Bank

In this paper, we address the problems in standard noise reduction method, which was designed by ETSI (European Telecommunication Standards Institution) for distributed speech recognition. In ETSI-based procedure, noise spectrum is estimated from noise frames, which are detected by a voice activity detector (VAD). Frame energy from the input signal is calculated by the VAD, and if the frame energy is smaller than a threshold, the corresponding frame is considered as noise frame. In highly corrupted noisy signal, this leads VAD towards false detection of a noise frame as a speech frame. Again in the second stage of ETSI-based procedure, the gain factorization coefficient is set to 0.8 for noise frames. This causes less noise reduction for high noisy signal. In our proposed improvement, pitch information along with frame energy is introduced to detect speech and noise frames, and gain factor is increased for better noise reduction from noise frames. Experimental results on Aurora-2J database show significant achievement in noise reduction using the proposed improvement over the original ETSI-based noise reduction.
Cognitive Processes in Prepositional Reasoning

ed in Proof 3 and that ANDS reproduced in the earlier example. However, the comparison between the subject's proof and ANDS's proof of the same theorem also points up a number of dissimilarities. The first of these is that some of the subject's statements never appear in ANDS's assertion or subgoal trees. This is true, for example, of the sentence in Line c of Table 3 ("if. . . there is an M and a P, there will always be an R"), of the statement in the first half of Line e, and of the very similar one in Line j ("Anytime you see both the letters M and P on a blackboard, then you can be sure that there is no R"). What makes these statements initially puzzling is that they are of the form IF p, q and IF p, NOT q, and it is somewhat unlikely that the subject believed both of these sentences to be true at the same time. But because the first of them is never repeated in the proof, it can plausibly be considered a slip of the tongue or a temporary misunderstanding of the premise, which is later abandoned in favor of the second type of sentence. The factors responsible for this error are unclear, and ANDS makes no attempt to duplicate it. Lines e and j by themselves are easier to understand. These sentences are the inverse of the original premise; that is, from If not (M and P) then R the subject has inferred If M and P then not R. This inference is not valid on most formal interpretations of IF and cannot be deduced from the rules in Table 2. Nevertheless, the inverse does follow if the premise is understood as a biconditional—Not (M and P) if and only if R—as might be appropriate in certain contexts (Fillenbaum, 1977; Geis & Zwicky, 1971). For sentences of the type used here, a substantial minority of subjects accepts the inverse as valid on the basis of a premise conditional (Pollard & Evans, 1980). This behavior could be simulated by providing ANDS with the corresponding deduction rule (see the section on Extensions below), though for the present ANDS sticks to the classical interpretation of IF. Note that such a rule would have to work in a forward direction to account for the protocol, because the inverse does not seem to be motivated by any obvious subgoal. Indeed, the inverse plays no direct role in the proof at all, if this analysis of the subject's reasoning is correct.
Low-Power Sub-Harmonic Direct-Conversion Receiver With Tunable RF LNA and Wideband LO Generator at U-NII Bands

A low-power tunable-band sub-harmonic direct-conversion receiver covering the whole Unlicensed National Information Infrastructure band is demonstrated using 0.18-μm CMOS technology. The RF band is selected by tuning varactors at the loads of the two-stage low-noise amplifier, while a wideband octet- phase generator is applied at the local oscillator (LO) port. The band tuning of both an LC tank and a transformer and the de- sign of an optimal transformer turn ratio are fully discussed in this paper. Vertical-NPN bipolar junction transistors in a standard CMOS process are used at the mixer switching core for excellent 1/f noise performance. As a result, the receiver achieves a 48/50 voltage gain and 4.5/4.8-dB noise figure with a 1/f noise corner of 70 kHz when the RF band is tuned to 5.2/5.8 GHz, respectively. The dc current consumption of the RF front-end (including the LO buffer) is 8.5 mA at a 1.8-V supply.
Effect of technology scaling on RF performance of the transistors fabricated by standard CMOS technology

Cut-off frequency (f<sub>T</sub>) of 300 GHz and 230 GHz for NMOS and PMOS is demonstrated for transistors with a gate length of 35 nm fabricated by 45 nm standard CMOS technology. Current gain (H<sub>21</sub>) and noise (flicker and thermal) is improved with scaling down technology. Power gain (G<sub>u</sub>) increase is slow down and even saturated at 45 nm as technology advances. Such saturation in power gain is attributed to rapid increase in g<sub>ds</sub> (drain conductance). Additional efforts are required to reduce g<sub>ds</sub> for continuous improvement in power gain with the scaling. V<sub>th</sub> optimization can be one of options to achieve better g<sub>ds</sub>.
Model Predictive Control (MPC) Applied To Coupled Tank Liquid Level System

Coupled Tank system used for liquid level control is a model of plant that has usually been used in industries especially chemical process industries. Level control is also very important for mixing reactant process. This survey paper tries to presents in a systemic way an approach predictive control strategy for a system that is similar to the process and is represented by two liquid tanks. This system of coupled Tank is one of the most commonly available systems representing a coupled Multiple Input Multiple Output (MIMO) system. With 2 inputs and 2 outputs, it is the most primitive form of a coupled multivariable system. Therefor the basic concept of how the coupled tanks system works is by using a numerical system which it operates with a flow control valve FCV as main control of the level of liquid in one tank or both tanks. For this paper, MPC algorithm control is used which will be developed below. And it is focuses on the design and modelling for coupled tanks system. The steps followed for the design of the controller are: Developing a state space system model for the coupled tank system then design an MPC controller for the developed system model. And study the effect of the disturbance on measured level output. Note that the implementation Model Predictive Controller on flow controller valve in a Coupled Tank liquid level system is one of the new methods of controlling liquid level.
A dual-band multiple-strip monopole antenna

A new design of the dual-band monopole antenna with the strip-line topology has been shown in this study. The dual-band characteristics are achieved using several strip monopole radiators. A small planar inverted-F monopole antenna (PIFMA) is connected to the ground plane. The bandwidth improvement for the antenna is obtained mainly by modifying the geometrical configuration of the strip monopoles added at the antenna and the ground plane. The measured results of the impedance-bandwidth are about 44 MHz (458 to 502 MHz) and 118 MHz (701 to 819 MHz).
pXBP1(U) encoded in XBP1 pre-mRNA negatively regulates unfolded protein response activator pXBP1(S) in mammalian ER stress response

Upon the accumulation of unfolded proteins in the mammalian endoplasmic reticulum (ER), X-box binding protein 1 (XBP1) premessenger RNA (premRNA) is converted to mature mRNA by unconventional splicing that is mediated by the endonuclease inositol-requiring enzyme 1. The transcription factor protein (p) XBP1 spliced (S), which is translated from mature XBP1 mRNA, contains the nuclear localization signal and the transcriptional activation domain and activates the transcription of target genes, including those encoding ER chaperones in the nucleus. We show that pXBP1 unspliced (U) encoded in XBP1 pre-mRNA was constitutively expressed and markedly accumulated at the recovery phase of ER stress. pXBP1(U) contained the nuclear exclusion signal instead of the transcriptional activation domain and shuttled between the nucleus and the cytoplasm. Interestingly, pXBP1(U) formed a complex with pXBP1(S), and the pXBP1(U)–pXBP1(S) complex was sequestered from the nucleus. Moreover, the complex was rapidly degraded by proteasomes because of the degradation motif contained in pXBP1(U). Thus, pXBP1(U) is a negative feedback regulator of pXBP1(S), which shuts off the transcription of target genes during the recovery phase of ER stress.
EARTh: An Environmental Application Reference Thesaurus in the Linked Open Data cloud

The paper aims at providing a description of EARTh, the Environmental Application Reference Thesaurus. It represents a general-purpose thesaurus for the environment, which has been published as a SKOS dataset in the Linked Open Data cloud. It promises to become a core tool for indexing and discovery environmental resources by refining and extending GEMET, which is considered the de facto standard when speaking of general-purpose thesaurus for the environment in Europe, besides it has been interlinked to popular LOD datasets as AGROVOC, EUROVOC, DBPEDIA and UMTHES. The paper illustrates the main characteristics of EARTh as a guide to its usage. It clarifies i the methodology adopted to define the EARTh content; ii the design and technological choices made when publishing EARTh as Linked Data; iii the information pertaining to its access and maintenance. Descriptions of EARTh applications and future relevance are highlighted.
Symptomatic Secondary Selective IgM Immunodeficiency in Adult Man with Undiagnosed Celiac Disease

Selective IgM immunodeficiency (SIgMID) is a heterogeneous disorder with no known genetic background and may occur as a primary or a secondary condition. Celiac disease has been reported in association with several humeral immunodeficiencies, including isolated severe selective IgA deficiency, panhypogammaglobulinemia, and isolated combined IgA and IgM deficiency. There are only few reported cases of pediatric and adult patients with SIgMID and celiac disease. In this paper, we describe an adult patient with a symptomatic secondary SIgMID associated with undiagnosed celiac disease, with a resolution of clinical symptoms of immunodeficiency and serum IgM normalization following a gluten-free diet.
An Approximation Algorithm for Bounded Degree Deletion ∗

Bounded Degree Deletion is the following generalization of Vertex Cover . Given an undirected graph G = ( V, E ) and an integer d ≥ 0, what is the minimum number of nodes such that after deleting these nodes from G , the maximum degree in the remaining graph is at most d ? We give a randomized O (log d )-approximation algorithm for this problem. We also give a tight bound of Θ(log d ) on the integrality gap of the linear programming relaxation used in our algorithm. The algo-rithm is based on the algorithmic version of the Lov´asz Local Lemma.
Application of support vector machines for T-cell epitopes prediction

MOTIVATION The T-cell receptor, a major histocompatibility complex (MHC) molecule, and a bound antigenic peptide, play major roles in the process of antigen-specific T-cell activation. T-cell recognition was long considered exquisitely specific. Recent data also indicate that it is highly flexible, and one receptor may recognize thousands of different peptides. Deciphering the patterns of peptides that elicit a MHC restricted T-cell response is critical for vaccine development. RESULTS For the first time we develop a support vector machine (SVM) for T-cell epitope prediction with an MHC type I restricted T-cell clone. Using cross-validation, we demonstrate that SVMs can be trained on relatively small data sets to provide prediction more accurate than those based on previously published methods or on MHC binding. SUPPLEMENTARY INFORMATION Data for 203 synthesized peptides is available at http://linus.nci. nih.gov/Data/LAU203_Peptide. pdf
WSN16-5: Distributed Formation of Overlapping Multi-hop Clusters in Wireless Sensor Networks

Clustering is a standard approach for achieving efficient and scalable performance in wireless sensor networks. Most of the published clustering algorithms strive to generate the minimum number of disjoint clusters. However, we argue that guaranteeing some degree of overlap among clusters can facilitate many applications, like inter-cluster routing, topology discovery and node localization, recovery from cluster head failure, etc. We formulate the overlapping multi-hop clustering problem as an extension to the k-dominating set problem. Then we propose MOCA; a randomized distributed multi-hop clustering algorithm for organizing the sensors into overlapping clusters. We validate MOCA in a simulated environment and analyze the effect of different parameters, e.g. node density and network connectivity, on its performance. The simulation results demonstrate that MOCA is scalable, introduces low overhead and produces approximately equal-sized clusters.
Content-based webtoon fingerprint method

This paper proposes a fingerprint method for webtoon identification using frequency features. The proposed fingerprint method uses features of a webtoon extracted from frequency components of each row of the webtoon image. Applying the proposed fingerprint method, the perfect accuracy is achieved for webtoon identification with randomly selected webtoon patches for testing. We compared our proposed method with a global thresholding method in frequency domain. Simulation results show that our method gets 100% accuracy with distorted (JPEG compression) images while the global thresholding method gets 32% accuracy only.
Automatic Kernel Based Models for Short Term Load Forecasting

The application of support vector machines to forecasting problems is becoming popular, lately. Several comparisons between neural networks trained with error backpropagation and support vector machines have shown advantage for the latter in different domains of application. However, some difficulties still deteriorate the performance of the support vector machines. The main one is related to the setting of the hyperparameters involved in their training. Techniques based on meta-heuristics have been employed to determine appropriate values for those hyperparameters. However, because of the high nonconvexity of this estimation problem, which makes the search for a good solution very hard, an approach based on Bayesian inference, called relevance vector machine, has been proposed more recently. The present paper aims at investigating the suitability of this new approach to the short-term load forecasting problem.
Isogeometric Analysis: new stable elements for the Stokes equation

SUMMARYIn this paper we discuss the application of IsoGeometric Analysis to incompressible viscous ﬂow problems, forwhich preliminary results were presented in [1, 2, 3]. Here we consider, as a prototype problem, the Stokes systemand we propose various choices of compatible Spline spaces for the approximations to the velocity and pressureﬁelds. The proposed choices can be viewed as extensions of the Taylor-Hood, N´ed elec and Raviart-Thomas pairs´of ﬁnite element spaces, respectively. We study the stability and convergence properties of each method and discussthe conservation properties of the discrete velocity ﬁeld in each case. Copyright c 2000 John Wiley & Sons, Ltd. KEY WORDS : Isogeometric Analysis; NURBS; stability; incompressibility; Stokes ﬂow 1. INTRODUCTIONThe concept of Isogeometric Analysis (IGA) was introduced in [4] with the aim of bridging the gapbetween computer aided design (CAD) and the ﬁnite element method. This aim is pursued by adoptingthe same spline or Non Uniform Rational B-spline (NURBS) basis functions used to design domaingeometries in CAD to construct both trial and test spaces in the discrete variational formulation ofdifferential problems. As an additional beneﬁt with respect to standard ﬁnite elements, the use of thesefunctions allows to construct ﬁnite dimensional spaces of higher regularity. In this paper we discussthe application of IGA to incompressible viscous ﬂow problems, for which preliminary results werepresented in [1, 2, 3]. Here we consider, as a prototype problem, the Stokes system modeling the ﬂowof a viscous, incompressible ﬂuid with constant viscosity :ˆ r
The Melatonin MT1 Receptor Axis Modulates Mutant Huntingtin-Mediated Toxicity

Melatonin mediates neuroprotection in several experimental models of neurodegeneration. It is not yet known, however, whether melatonin provides neuroprotection in genetic models of Huntington's disease (HD). We report that melatonin delays disease onset and mortality in a transgenic mouse model of HD. Moreover, mutant huntingtin (htt)-mediated toxicity in cells, mice, and humans is associated with loss of the type 1 melatonin receptor (MT1). We observe high levels of MT1 receptor in mitochondria from the brains of wild-type mice but much less in brains from HD mice. Moreover, we demonstrate that melatonin inhibits mutant htt-induced caspase activation and preserves MT1 receptor expression. This observation is critical, because melatonin-mediated protection is dependent on the presence and activation of the MT1 receptor. In summary, we delineate a pathologic process whereby mutant htt-induced loss of the mitochondrial MT1 receptor enhances neuronal vulnerability and potentially accelerates the neurodegenerative process.
Accessibility to Knowledge and New Firm Formation in Sweden (JSRSAI Golden Anniversary Issue : Academic Knowledge Commercialization, Universities and Regional Economic Development) -- (Regional Innovative Environment and Commercial Knowledge Creation)

This paper investigates how accessibility to knowledge is related to the new firm formation in Sweden. Utilizing municipal level data, the paper examines how and to what extent geographic proximity to establish-ments that are specialized in formal knowledge creation plays a role for the overall entrepreneurial milieu in a city region. While measuring accessibility to knowledge at intra-municipal, intra-regional and extra-regional levels, the paper maps out the clustering patterns of new firms and ranks the municipalities by their perfor-mance in creating an entrepreneurial milieu. The clustering patterns of new firms highlight critical factors in new firm formation and entrepreneurial performance of regions.
Relevance and Effectiveness of Public Employment Services for Youth Labor Market Integration-A cross-European Perspective

In the wake of the Great Recession and the subsequent Eurozone crisis, youth’s labour market integration became a central issue both at national and European level. In this context, public employment services (PES) are referred to as central actors in tackling youth unemployment and promoting youth labor market integration (European Commission, 2017). However, it is still an open empirical question whether and in which context the PES are able to fulfil such a key role since international comparative analyses are scarce (cf. Bachmann and Baumgarten, 2013). Therefore, we analyse the following two questions: (i) What is the actual relevance and effectiveness of PES for young people? (ii) How do structural and institutional factors shape the relevance of PES in a cross-European perspective?