Miracle-dz/UniFAR-FTUs huggingface dataset:
An Adaptive Classification Algorithm Using Robust Incremental Clustering

In this paper we present an adaptive classification method that features a robust, efficient and simple to use incremental clustering algorithm. A new assignment strategy for incorporating new data patterns allows clusters to align more exhaustively with the data structure. This almost eliminates the sensitivity to the order of input data, many incremental clustering algorithms suffer from, reduces the number of clusters needed and thus improves also time efficiency. For updating the clusters' representations we utilize an incremental version of PCA which generates its learning rate automatically from the number of patterns. Furthermore, the size and number of clusters is controlled by the classification error. So we get a classification method where nothing but the target error needs to be pre-specified. We conducted experiments on artificial and real data to demonstrate the capabilities of the proposed algorithm
Sphere image based triangular mesh segmentation

Extending digital image processing algorithms to the triangular mesh is always an important idea for triangular mesh processing. This paper presented a sphere image representation of triangular mesh and used it for triangular mesh segmentation. A sphere image is an image as well as a graphic, which make it easy to process triangular mesh with image processing approaches. In the presented approach segmentation of a triangular mesh could be done by simply applying commonly used image processing algorithms after a sphere image of the triangular mesh was created, which make triangular mesh segmentation could easily take advantage of advanced and mature image segmentation algorithms. Experimental results show that the presented approach can segment a triangular mesh well. It should be noted that the sphere image representation of a triangular mesh can not only be used for triangular mesh segmentation but more other applications.
The Influence of Investor Sentiment on the Formation of Golden-cross and Dead-cross

The so-ealled "golden-cross" and "dead-cross" are said to be useful signals to forecast market trends. In this paper, we focus on the Japanese stock market where gold-crosses and dead-crosses are empirically considered as useful investment signals. First, we examined the usefulness of these signals by using historical Japanese stock price data. The results confirmed that these crosses were useful as confirmatory signals for forecasting market trends. The results also showed that the minimum length of period (days) of useful moving averages is shorter in the case of golden-cross than in that of dead-cross. Second, we tried to identify the underlying reasons for the usefulness of the crosses. Because a model, which assumed all investors were rational financial experts, failed to explain the usefulness of the crosses, we were able to assume that the crosses reflected investors’ irrationality or behavioral bias: conservativeness and representativeness about trends (Tversky and Kahneman 1974). We then developed a model that incorporated this bias. Based on simulations using this model, we identified the mechanism with which those crosses closely relate to investors’ irrationality or behavioral bias. The analysis also revealed investors’ tendency that they were convinced by a bull trend more easily and quickly than by a bear trend. This finding is in line with what is generally observed as investors’ bull-bias in the Japanese stock market.
Recognizing and locating of objects using binocular vision system

This paper examines how to recognize the dynamic object and find its position using a real-time binocular visual image system, which describes contours of the object using edge detection algorithm. The system finds the object of image with shape matched method, which procedures include color segmentation of input image, finding the candidate area of matching color histogram, binary image morphologic management, convex hull process, and finding the object and its contours. Image recognition technique is used to find the features of the object on the image plane. Intrinsic and extrmsic parameters of the features are captured using calibration board to form a fundamental matrix for analysis that increases the accuracy of corresponding points. Finally, it performs the three-dimensional reconstruction to combine and associate the feature messages with camera parameters. We can hence obtain three-dimensional coordinate information of the object with reference to the camera system. Experimental results demonstrated that the high achievable accuracy and stability of position coordinates reconstructed from the features and three dimensional coordinates of the object with the camera system's real-time binocular visual subsystem that provides three-dimensional position coordinate for the robotic arms of an intelligent robot.
Effects on the nervous system among welders exposed to aluminium and manganese.

OBJECTIVES--The purpose was to study the effects on the nervous system in welders exposed to aluminium and manganese. METHODS--The investigation included questionnaires on symptoms, psychological methods (simple reaction time, finger tapping speed and endurance, digit span, vocabulary, tracking, symbol digit, cylinders, olfactory threshold, Luria-Nebraska motor scale), neurophysiological methods (electroencephalography, event related auditory evoked potential (P-300), brainstem auditory evoked potential, and diadochokinesometry) and assessments of blood and urine concentrations of metals (aluminium, lead, and manganese). RESULTS--The welders exposed to aluminium (n = 38) reported more symptoms from the central nervous system than the control group (n = 39). They also had a decreased motor function in five tests. The effect was dose related in two of these five tests. The median exposure of aluminium welders was 7065 hours and they had about seven times higher concentrations of aluminium in urine than the controls. The welders exposed to manganese (n = 12) had a decreased motor function in five tests. An increased latency of event related auditory evoked potential was also found in this group. The median manganese exposure was 270 hours. These welders did not have higher concentrations of manganese in blood than the controls. CONCLUSIONS--The neurotoxic effects found in the groups of welders exposed to aluminium and manganese are probably caused by the aluminium and manganese exposure, respectively. These effects indicate a need for improvements in the work environments of these welders.
Unbounded Spigot Algorithms for the Digits of π

Rabinowitz and Wagon (in American Mathematical Monthly 102(3):195–203, 1995) present a spigot algorithm for computing the digits of π. A spigot algorithm yields its outputs incrementally, and does not reuse them after producing them. Their algorithm is inherently bounded ; it requires a commitment in advance to the number of digits to be computed, and in fact might still produce an incorrect last few digits. We propose some streaming algorithms based on the same and some other characterizations of π, with the same incremental characteristics but without requiring the prior bound.
Alternative Lengthening of Telomeres is characterized by reduced compaction of telomeric chromatin

Proper telomeric chromatin configuration is thought to be essential for telomere homeostasis and stability. Previous studies in mouse suggested that loss of heterochromatin marks at telomeres might favor onset of Alternative Lengthening of Telomeres (ALT) pathway, by promoting homologous recombination. However, analysis of chromatin status at human ALT telomeres has never been reported. Here, using isogenic human cell lines and cellular hybrids, which rely either on telomerase or ALT to maintain telomeres, we show that chromatin compaction is reduced at ALT telomeres and this is associated with a global decrease in telomeric H3K9me3. This, subsequently, leads to upregulation of telomere transcription. Accordingly, restoration of a more condensed telomeric chromatin through telomerase-dependent elongation of short ALT telomeres reduces telomere transcription. We further show that loss of ATRX chromatin remodeler function, a frequent characteristic of ALT cells, is not sufficient to decrease chromatin condensation at telomeres nor to increase the expression of telomeric RNA species. These results offer new insight on telomeric chromatin properties in ALT cells and support the hypothesis that telomeric chromatin decondensation is important for ALT pathway.
Thermal modelling approach and model predictive control of a water-cooled PEM fuel cell system

In this paper, a modular thermal modelling approach for a water-cooled Proton Exchange Membrane fuel cell (PEM-FC) stack is proposed. The resultant model is based on the heat flux inside the stack and has been validated in a real test station. Then, a linear model predictive control (MPC) strategy for temperature regulation is designed and tested in simulation with promising results. The proposed MPC controller not only tackles the temperature regulation problem, but also incorporates necessary management constraints for the proper operation of the system in real conditions.
Memory for Positive and Negative Political TV Ads: The Role of Partisanship and Gamma Power

Despite generating widespread contempt, political TV ads play an important informational role in the lives of citizens. This study examines effects of Ad Type (Positive, Negative, and Comparison) on recognition memory for candidate issue positions. Potential moderators (Ad Sponsor Partisanship X Viewer Partisanship, Ad Type X Viewer Ideology, Ad Type X Viewer Partisanship) of political ad memory are explored, and electroencephalography (EEG) recordings are used to examine whether semantic processing (indexed as brain activity in the gamma band frequency range) mediates main or moderated effects of Ad Type on Memory. Results reveal a significant interaction between Ad Type and Partisanship, with Republicans remembering more from positive relative to negative ads (significant), and Democrats remembering more from negative ads (marginally significant). A direct effect of Gamma on Memory highlights the considerable potential that EEG (in general) and the gamma frequency band (in particular) may hold for the study of message processing.
Visual Cortex Plasticity: A Complex Interplay of Genetic and Environmental Influences

The central nervous system architecture is highly dynamic and continuously modified by sensory experience through processes of neuronal plasticity. Plasticity is achieved by a complex interplay of environmental influences and physiological mechanisms that ultimately activate intracellular signal transduction pathways regulating gene expression. In addition to the remarkable variety of transcription factors and their combinatorial interaction at specific gene promoters, epigenetic mechanisms that regulate transcription have emerged as conserved processes by which the nervous system accomplishes the induction of plasticity. Experience-dependent changes of DNA methylation patterns and histone posttranslational modifications are, in fact, recruited as targets of plasticity-associated signal transduction mechanisms. Here, we shall concentrate on structural and functional consequences of early sensory deprivation in the visual system and discuss how intracellular signal transduction pathways associated with experience regulate changes of chromatin structure and gene expression patterns that underlie these plastic phenomena. Recent experimental evidence for mechanisms of cross-modal plasticity following congenital or acquired sensory deprivation both in human and animal models will be considered as well. We shall also review different experimental strategies that can be used to achieve the recovery of sensory functions after long-term deprivation in humans.
Ask the Cognitive Scientist: "Grit" Is Trendy, but Can It Be Taught?.

Psychologists have studied related personal characteristics in the past (see the box on page 31 for details), such as self-control, for example, and conscientiousness. And now, researchers have found that the concept of grit adds something to our understanding of certain behaviors, especially those that require perseverance in the face of long-term, difficult work, like succeeding at West Point Military Academy, for instance. Whether you can teach someone to be gritty is quite another matter. It’s likely you can teach parts of grit, but researchers are just beginning to explore how to do so.
Induce Th1- and Th2-Dominated Responses Hypersensitivity-Associated Major Epitopes Test Reactions: Delayed-Type Cell Repertoire Associated with Distinct Skin Diversity of the Human Allergen-Specific T

Distinct immune responses in humans to the Trichophyton rubrum Ag, Tri r 2, are associated with different patterns of T cell epitope recognition based on in vitro proliferation to peptides derived from this 29-kDa protein. Speciﬁcally, the amino-terminal immunodominant epitope, peptide 5 (P5), stimulates strong T cell proliferative responses in subjects with delayed (DTH), but not immediate (IH) hypersensitivity skin tests. Evidence of a role for cytokines or changes in epitope recognition over time was examined in responses to Trichophyton using primary PBMC cultures established from seven IH and seven DTH subjects. Responses stimulated by Tri r 2 were dominated by the Th1 cytokine IFN- (cid:1) (IFN- (cid:1) :IL-5 > 4:1) in ﬁve DTH subjects, even in the presence of Th2-dominated responses (IFN- (cid:1) :IL-5 < 3:1) to a subset of major epitopes. Paradoxically, P5 induced IL-5 and IL-10 production in DTH, but not IH subjects ( p (cid:2) 0.003 (IL-5), p (cid:2) 0.024 (IL-10)), with no signiﬁcant difference in IFN- (cid:1) levels between the two groups. In cultures from IH responders, no IL-5 was measurable after stimulation with P6 and P7 (as well as P5); this region of the molecule was shown previously to stimulate markedly reduced T cell proliferation in these individuals. Repeat proliferation assays conﬁrmed no change in the pattern of peptide recognition after > 20 mo in IH or DTH subjects. We conclude that T cell repertoires associated with distinct immune responses to Tri r 2 can be distinguished based on Th2 cytokine induction by DTH-associated major epitopes
Smoothness Equivalence Properties of General Manifold-Valued Data Subdivision Schemes

Based on a vector-bundle formulation, we introduce a new family of nonlinear subdivision schemes for manifold-valued data. Any such nonlinear subdivision scheme is based on an underlying linear subdivision scheme. We show that if the underlying linear subdivision scheme reproduces $\Pi_k$, then the nonlinear scheme satisfies an order k proximity condition with the linear scheme. We also develop a new “proximity $\Rightarrow$ smoothness” theorem, improving the one in [J. Wallner, Constr. Approx., 24 (2006), pp. 289–318]. Combining the two results, we can conclude that if the underlying linear scheme is $C^k$ and stable, then the nonlinear scheme is also $C^k$. The family of manifold-valued data subdivision scheme introduced in this paper includes a variant of the log-exp scheme, proposed in [I. U. Rahman et al., Multiscale Model. Simul. , 4 (2005), pp. 1201–1232], as a special case, but not the original log-exp scheme when the underlying linear scheme is noninterpolatory. The original log-exp scheme uses th.
Sintomatología de los trastornos de la conducta alimentaria en adolescentes de un colegio del distrito de Independencia, Lima, Perú. Symptoms of eating behavior disorders in teenagers from a school in Independencia, Lima , Perú

SUMMARY Objective: To describe symptoms of eating disorders in a teenage population between the ages of 13 and 17, from a school in the Independencia district (Lima, Peru). Methods: We planned to administer the EDI-2 (Eating Disorders Inventory–2) to 200 teenagers; however after the selection process only 39 subjects remained. Results: Out of the 39 participants, 24 (62%) were females and 15 (38%) males. The mean age was 14.6 years old (SD= 1.23). The percentages of high scores for subscales were: 17.9% for drive for thinness, 17.9% for bulimia and 28.2% for body dissatisfaction. Also, the statistic analysis revealed no significant differences between genders for the subscales, except for drive for thinness (p=0.041). Conclusions: The percentage of high scores obtained for drive for thinness, bulimia and body dissatisfaction where higher than those described by other authors. No significant differences between genders were found, except in the drive for thinness subscale. (Rev Neuropsiquiatr 2010;73:52-61).
Vowel-category based Short Utterance Speaker Recognition

The impact of Short Utterances in Speaker Recognition is of significant importance. Despite the advancements in short utterance speaker recognition (SUSR), text dependence and the role of phonemes in carrying speaker information needs further investigation. This paper presents a novel method of using vowel categories for SUSR. We define Vowel Categories (VC's) considering Chinese and English languages. After recognition and extraction of phonemes, the obtained vowels are divided into VC's, which are then used to develop Universal Background VC Models (UBVCM) for each VC. Conventional GMM-UBM system is used for training and testing. The proposed categories give minimum EERs of 13.76%, 14.03% and 16.18% for 3, 2 and 1 second respectively. Experimental results show that in text dependent SUSR, significant speaker-specific information is present at phoneme level. The similar properties of phonemes can be used such that accurate speech recognition is not required, rather Phoneme Categories can be used effectively for SUSR. Also, it is shown that vowels contain large amount of speaker information, which remains undisturbed when VC are employed.
Dual inhibition of EGFR and MET induces synthetic lethality in triple-negative breast cancer cells through downregulation of ribosomal protein S6

Triple-negative breast cancer (TNBC) exhibits innate resistance to the EGFR inhibition despite high level expression of EGFR. Recently, we found that the proliferation of basal-like (BL) subtype TNBC cells is synergistically inhibited by combination of EGFR and PI3K/AKT inhibitors. On the contrary, TNBC cells of mesenchymal stem-like (MSL) subtype are resistant to these combinations. To identify potential synthetic lethal interaction of compounds for treatment of MSL subtype TNBC cells, we performed MTT screening of MDA-MB-231 cells with a small library of receptor tyrosine kinase inhibitors (RTKIs) in the presence of gefitinib, an EGFR inhibitor. We identified MET inhibitors as potent RTKIs that caused synthetic lethality in combination with gefitinib in MDA-MB-231 cells. We demonstrated that combination of a MET inhibitor SU11274 with various EGFR inhibitors resulted in synergistic suppression of cell viability (in MTT assay) and cell survival (in colony formation assay) of MSL subtype TNBC cells. We further demonstrated that SU11274 alone induced G2 arrest and gefitinib/SU11274 combination sustained the SU11274-induced G2 arrest in these cells. In addition, SU11274/gefitinib combination synergistically reduced the level of ribosomal protein S6 (RPS6) in MSL subtype TNBC cells. In addition, knockdown of RPS6 itself, in both HS578T and MDA-MB-231, markedly reduced the proliferation of these cells. Taken together, our data suggest that dual targeting of EGFR and MET inhibits the proliferation of MSL subtype TNBC cells through down-regulation of RPS6.
Performance Evaluation and Improvement of Hybrid TCP Congestion Control Mechanisms in Wireless LAN Environment

In this paper, we first evaluate the performance of recent TCP variants for high-speed and long-delay networks in IEEE 802.11 wireless LAN environment through simulation experiments. We show that some of them still have well-known TCP unfairness property between uplink and downlink flows, and that there is another unfairness problem among uplink flows caused by the loss-based behavior of hybrid TCP variants. We then propose an end-to-end-basis modification to TCP congestion control mechanisms to alleviate the unfairness problems, which activates the congestion control when detecting ACK packet losses. Through simulation experiments, we present that the proposed method is effective not only for TCP fairness among uplink flows but also for fairness between uplink and downlink flows, while keeping the total throughput to be large enough.
SIMULATIVE AND EXPERIMENTAL ANAL YSIS OF COMMUNICATION PROTOCOLS FOR HIGH PERFORMANCE COMPUTERS

Most parallel operating systems and most message passing system implementations use the same three way connectionless communication protocol. Unfortunately , this protocol is not very well suited for the needs of most parallel applications, resulting in high latency and poor throughput. This paper analyzes the widely used connectionless protocols and compares them with connection oriented protocols. For this comparison, all these protocols have been implemented in the operating system COSY and in an event driven simulator . The measurements and simulations clearly show the superiority of the connection-oriented protocols, which deliver a throughput up to eight times higher as the three-way-protocol.
Simulations of Cold Electroweak Baryogenesis: Finite time quenches

The electroweak symmetry breaking transition may supply the appropriate out-of-equilibrium conditions for baryogenesis if it is triggered sufficiently fast. This can happen at the end of low-scale inflation, prompting baryogenesis to occur during tachyonic preheating of the Universe, when the potential energy of the inflaton is transfered into Standard Model particles. With the proper amount of CP-violation present, the observed baryon number asymmetry can be reproduced. Within this framework of Cold Electroweak Baryogenesis, we study the dependence of the generated baryon asymmetry on the speed of the quenching transition. We find that there is a separation between "fast" and "slow" quenches, which can be used to put bounds on the allowed Higgs-inflaton coupling. We also clarify the strong Higgs mass dependence of the asymmetry reported in a companion paper (1).
Framework for Local Ambient Intelligence Space: The AmI-Space Project

A simple and clear framework for a local Ambient Intelligence (Am1) Space application system is very important, because it can help the designers develop new applications in Am1 Space, even will help the users configure their future home Am1 system. In this paper, first, the open problems in the Am1research field are discussed. Then, a framework of a typical Am1 Space application system is presented, including the local Am1 Space model, Multi-agent based software architecture and the system network configuration. Next, based on the above framework, a prototype system Am1-Space was established. After that, a whole appearance of our Am1-Space project is given, and the services provided by Am1-Space are introduced briefly. Finally, future works of Am1-Space are discussed. Via the works of this paper, a research platform is established, which will allow experiments on other local Am1Space applications using this platform in future research.