Miracle-dz/UniFAR-FTUs huggingface dataset:
Unstructured robot perception through Internet semantic concept learning

Intelligent robot is one of the most important ongoing technologies both in industry and social life. Smart perception is the key technology for intelligent robots. Lack of training data, there has been many barriers for intelligent robot to learn the unstructured environment. In this paper, an automatic data mining method for smart robots to learn semantic concepts from videos crawled to known Internet video/image websites (e.g. video-Baidu, Bing, Youku) is presented. An updated novel Internet video-mining method is addressed. An automatic graph model generator is addressed as well as the weight assignment for concepts-relationship learning based on known ontology and an automated video source discovery method in concepts detection from the massive Internet videos is proposed. Experimental results with Tera-bytes level videos show that the method is effective and efficient to solve the smart perception for intelligent robots.
Linear dispersion space-time codes for multiuser systems with low decoding complexity

We explicitly construct space-time codes for a multiple access system composed of K users transmitting simultaneously to the base station in block-fading channels. Each user encodes its own data independently without cooperation between users. Our codes design uses the idea of linear dispersion encoding together with circulant matrices assigned to each user that allow low-complexity linear minimum mean square error (MMSE) decoding when the channel realization is known to the base station. Moreover, the ergodic sum rate of the proposed design is studied and compared with the sum capacity.
The Roles of Claudin Superfamily Proteins in Paracellular Transport

The claudin superfamily consists of at least 18 homologous proteins in humans. These proteins are important structural and functional components of tight junctions in paracellular transport. Complexed with two other integral transmembrane proteins, occludin and junctional adhesion molecule, claudins are located in both epithelial and endothelial cells in all tight junction‐bearing tissues. Claudins interact directly with tight junction‐specific, membrane‐associated guanylate kinase homologues, ZO‐1, ZO‐2, and ZO‐3, and indirectly with AF‐6 and the myosin‐binding molecule cingulin. These protein–protein interactions promote scaffolding of the tight junction transmembrane proteins and provide a link to the actin cytoskeleton for transducing regulatory signals to and from tight junctions. The distinct permeability properties observed in different epithelia and endothelia seemingly result from the restricted tissue expression, variability of the homopolymer and heteropolymer assembly, regulated transcription and translation, and the subcellular localization of claudin family proteins. Defects in claudins are causatively associated with a variety of human diseases, demonstrating that claudins play important roles in human physiology. In conditions where the cell adhesion function contributed by tight junctions is essential, such as in altered paracellular transport, in proliferative diseases, and during morphogenesis, the claudin superfamily of homologous proteins provides the molecular basis for the uniqueness of tight junctions and emerges as a new target for intervention.
From Local Chaos to Critical Slowing Down: A Theory of the Functional Connectivity of Small Neural Circuits

Functional connectivity is a fundamental property of neural networks that quantifies the segregation and integration of information between cortical areas. Due to mathematical complexity, a theory that could explain how the parameters of mesoscopic networks composed of a few tens of neurons affect the functional connectivity is still to be formulated. Yet, many interesting problems in neuroscience involve the study of networks composed of a small number of neurons. Based on a recent study of the dynamics of small neural circuits, we combine the analysis of local bifurcations of multi-population neural networks of arbitrary size with the analytical calculation of the functional connectivity. We study the functional connectivity in different regimes, showing that external stimuli cause the network to switch from asynchronous states characterized by weak correlation and low variability (local chaos), to synchronous states characterized by strong correlations and wide temporal fluctuations (critical slowing down). Local chaos typically occurs in large networks, but here we show that it can also be generated by strong stimuli in small neural circuits. On the other side, critical slowing down is expected to occur when the stimulus moves the network close to a local bifurcation. In particular, strongly positive correlations occur at the saddle-node and Andronov-Hopf bifurcations of the network, while strongly negative correlations occur when the network undergoes a spontaneous symmetry-breaking at the branching-point bifurcations. These results prove that the functional connectivity of firing-rate network models is strongly affected by the external stimuli even if the anatomical connections are fixed, and suggest an effective mechanism through which biological networks can dynamically modulate the encoding and integration of sensory information.
Using Intervention Mapping to Develop Health Education Components to Increase Colorectal Cancer Screening in Puerto Rico

Introduction Colorectal cancer (CRC) is a leading cause of cancer-related mortality in Puerto Rico (PR). Although largely preventable through screening and treatment of precancerous polyps, CRC screening rates in PR remain low while CRC incidence and mortality continue to increase. Methods We used intervention mapping (IM), a systematic framework using theory and evidence to plan a health promotion intervention to increase colorectal cancer screening (CRCS) among Puerto Rican adults 50 years and older who are patients of Federally Qualified Health Centers (FQHCs) in PR. Results To inform the development of a logic model of the problem during the needs assessment phase, we determined the CRC incidence and mortality rates in PR using recent data from the PR Cancer Registry, conducted a literature review to better understand behavioral and environmental factors influencing CRC among Hispanics in general and in Puerto Ricans, and collected new data. We conducted seven focus groups to identify community needs and resources, specific sub-behaviors related to CRCS (performance objectives) and the determinants of CRCS. We then developed matrices of change objectives that would guide the content, behavioral change method selection, and the practical applications that would be included in the program. We selected two overarching methods: entertainment education and behavioral journalism and developed practical applications, materials, and messages containing several other methods including modeling, persuasion, information, and tailoring. We developed and pretested a Tailored Interactive Multimedia Intervention, newsletter, an action plan, and supplemental print materials for patients. We also developed a patient mediated provider prompt to increase provider recommendation and improve patient provider communication. Conclusion The use of IM for systematic planning produced a detailed coherent plan for the CRCS educational intervention. Guided by IM processes, steps, and tasks, we used community level information, existing literature, theory, and new data to develop health education materials that were well received by the priority population and will likely increase CRCS among FQHC patients in PR.
Transgelin Up-Regulation in Obstructive Nephropathy

Fibrosis is a complex and multifactorial process, affecting the structure and compromising the function of several organs. Among those, renal fibrosis is an important pathological change, eventually leading to renal failure. Proteomic analysis of the renal parenchyma in the well-established rat model of unilateral ureteral obstruction (UUO model) suggested that transgelin was up-regulated during the development of fibrosis. Transgelin up-regulation was confirmed both at the protein and at the mRNA level. It was observed that at early stages of fibrosis transgelin was mainly expressed in the interstitial compartment and, more specifically, in cells surrounding the glomeruli. Subsequently, it was confirmed that transgelin expressing cells were activated fibroblasts, based on their extensive co-expression of α-SMA and their complete lack of co-distribution with markers of other cell types (endothelial, epithelial and cells of the immune system). These periglomerular fibroblasts exhibited staining for transgelin mainly cytoplasmic but occasionally nuclear as well. In addition, transgelin expression in periglomerular fibroblasts was absent in renal fibrosis developed in a hypertensive model, compared to the UUO model. Promoter analysis indicated that there are several conserved motifs for transcription factor binding. Among those, Kruppel-like factor 6 was found to be up-regulated in transgelin positive periglomerular activated fibroblasts, suggesting a possible involvement in the mechanism of transgelin up-regulation. These data strongly suggest that transgelin is up-regulated in the obstructive nephropathy and could be used as a novel marker for renal fibrosis in the future.
Topology-Aware Adaptive Routing for Nonstationary Irregular Mesh in Throttled 3D NoC Systems

Three-dimensional network-on-chip (3D NoC) has been proposed to solve the complex on-chip communication issues in future 3D multicore systems. However, the thermal problems of 3D NoC are more serious than 2D NoC due to chip stacking. To keep the temperature below a certain thermal limit, the thermal emergent routers are usually throttled. Then, the topology of 3D NoC becomes a Nonstationary Irregular Mesh (NSI-Mesh). To ensure the successful packet delivery in the NSI-Mesh, some routing algorithms had been proposed in the previous works. However, the network still suffers from extremely traffic imbalance among lateral and vertical logic layer. In this paper, we propose a Topology Aware Adaptive Routing (TAAR) to balance the traffic load for NSI-Mesh in 3D NoC. TAAR has three routing modes, which can be dynamically adjusted based on the topology status of the routing path. In addition to increasing routing flexibility, the TAAR also increases both vertical and lateral path diversity to balance the traffic load. Compared with the related adaptive routing methods, the experimental results show that the proposed TAAR can reduce 19 to 295 percent traffic loads in the bottom logic layer and improve around 7.7 to 380 percent network throughput. According to our proposed VLSI architecture, the TAAR only needs less than 24.8 percent hardware overhead compared with the previous works.
Performance Evaluation of the New Roche Cobas AmpliPrep/Cobas TaqMan HIV-1 Test Version 2.0 for Quantification of Human Immunodeficiency Virus Type 1 RNA

ABSTRACT Despite FDA approval and CE marking of commercial tests, manufacturer-independent testing of the technical aspects of newly developed tests is important. To evaluate the analytical performance and explore the clinical applicability of the new Roche COBAS AmpliPrep COBAS TaqMan HIV-1 test, version 2.0 (CAP/CTM v2.0), platform comparison was performed with the Roche CAP/CTM test, version 2.0, the COBAS Amplicor HIV-1 Monitor Test, version 1.5 (CAP/CA v1.5), the COBAS AmpliPrep COBAS TaqMan HIV-1 Test (CAP/CTM v1.0), and the Abbott m2000 RealTime HIV-1 assay on panels and diagnostic samples. Specificity was tested for HIV-2 samples. Furthermore, samples from HIV-1-seropositive individuals with CAP/CA v1.5-measured viral loads below 50 HIV-1 RNA copies per ml (cp/ml) and replicates of HIV-1-seronegative plasma were tested in a checkerboard analysis. CAP/CTM v2.0 is HIV-1 specific, with broad genotype inclusivity and no serious underquantification of viral load relative to the other assays used. Low viral loads below the threshold of quantification for CAP/CA v1.5 are observed with CAP/CTM v2.0. A CAP/CTM v2.0-measured viral load of >50 copies/ml in these samples correlated with therapy failure. In conclusion, CAP/CTM v2.0 is an accurate and reliable test for HIV-1 viral load measurement relative to the other assays used with respect to specificity, sensitivity, and genotype inclusivity.
Antibiotic treatment of acute otorrhea through tympanostomy tube: randomized double-blind placebo-controlled study with daily follow-up.

OBJECTIVE The role of routine antimicrobial treatment of acute middle-ear infections is under debate, because the efficacy of antimicrobials in the resolution of middle-ear fluid has not been unambiguously proven. Acute tube otorrhea is regarded as evidence of acute otitis media, and for methodologic reasons it was chosen to provide objectivity for diagnostics and outcome assessment. The objective of this study was to assess whether amoxicillin-clavulanate accelerates the resolution of acute tube otorrhea. DESIGN AND SETTING Randomized, double-blind, placebo-controlled study in outpatient setting. PATIENTS Volunteer sample of basically healthy 6- to 72-month-old children with a tympanostomy tube. Eligibility required having acute tube otorrhea of <48 hours' of duration and no prior treatment within the last 2 weeks. The mean age of the participants was 25 months; they had a history of 3 episodes of acute otitis media (median), and 99% had manifestations of a concomitant respiratory infection. Of 79 randomized patients, 7 were withdrawn because of adverse events; 66 patients completed the study. INTERVENTIONS Amoxicillin-clavulanate (N = 34; 45 mg/kg/d) or matching placebo (N = 32) for 7 days and daily suction of middle-ear fluid through tympanostomy tube. MAIN OUTCOME MEASURES Duration of acute tube otorrhea and duration of bacterial growth in middle-ear fluid. RESULTS The median duration of tube otorrhea was significantly shorter in amoxicillin-clavulanate than in the placebo group (3 vs 8 days). At the end of the 7-day medication period, tube otorrhea was resolved in 28 of 34 children receiving amoxicillin-clavulanate compared with 13 of 32 children on placebo (treatment-control difference 41%; 95% confidence interval, 20%-63%; number needed to treat, 2.4). The median duration of bacterial growth in middle-ear fluid was shorter in amoxicillin-clavulanate than in the placebo group (1 vs 8 days). CONCLUSIONS Oral antibiotic treatment significantly accelerates the resolution of acute tube otorrhea by reducing bacterial growth in middle-ear fluid.
A confidential and DoS-resistant multi-hop code dissemination protocol for wireless sensor networks

Code dissemination protocols provide a convenient way to update program images via wireless communication. Due to the open environment in which Wireless Sensor Networks (WSNs) are typically deployed, it is important that a code dissemination protocol ensures that a program image update can be authenticated as coming from a trusted source. In some applications it is also required that the data be kept confidential in spite of the possibility of message interception. Authentication and confidentiality are implemented through cryptographic operations which may be expensive in power consumption, making a protocol with these features vulnerable to attack by an adversary who transmits forged data, forcing nodes to waste energy in identifying it as invalid i.e., a signature-based DoS attack). Additionally, in multi-hop dissemination protocols, each sensor node is required to broadcast its program image when requested by its neighbors. An adversary could repeatedly send spurious program image requests to its neighbors, making them exhaust their energy reserves i.e., request-based DoS attack). In this paper, we present a new approach to achieve confidentiality in multi-hop code dissemination. We propose counter-measures against both types of DoS attacks mentioned above. To our knowledge, we are the first to integrate confidentiality and DoS-attack-resistance in a multi-hop code dissemination protocol. Our approach is based on Deluge, an open source, state-of-the-art code dissemination protocol for WSNs. In addition, We provide a performance evaluation in terms of latency and energy consumption in our scheme, compared with the original Deluge and the existing secure Deluge.
The Flynn effect and its relevance to neuropsychology

Evidence from several nations indicates that performance on mental ability tests is rising from one generation to the next, and that this “Flynn effect” has been operative for more than a century. No satisfactory explanation has been found. Nevertheless, the phenomenon has important implications for clinical utilization of IQ tests. This article summarizes the empirical basis of the Flynn effect, arguments about the nature of the skill that is increasing, and proposed explanations for the cause of the increase. Ramifications for clinical neuropsychology are discussed, and some of the broader implications for psychology and society are noted.
Pattern Classification of Acoustic Emission Signals during Wood Drying by Principal Component Analysis and Artificial Neural Network

This study was performed to classify the acoustic emission (AE) signal due to surface check and water movement of the flat-sawn boards of oak (Quercus Variablilis) during drying using the principle component analysis (PCA) and artificial neural network (ANN). To reduce the multicollinearity among AE parameters such as peak amplitude, ring-down count, event duration, ring-down count divided by event duration, energy, rise time, and peak amplitude divided by rise time and to extract the significant AE parameters, correlation analysis was performed. Over 96 % of the variance of AE parameters could be accounted for by the first and second principal components. An ANN was successfully used to classify the AE signals into two patterns. The ANN classifier based on PCA appeared to be a promising tool to classify the AE signals from wood drying.
Step Response Detection Technique for Self-Calibrating Predistortion GFSK &#931;&#916; Modulation Loops

A novel calibration scheme for predistortion SigmaDelta PLLs is proposed in this paper. In contrast to present calibration algorithms this technique detects the integral phase variation of the loops step response. The architecture uses minimum chip area by synchronously sampling the data content of an delay locked loop. Using this technique to detect the phase difference during a step response allows to determine the real loop gain within 7 mus with an accuracy better than 0.1%. Obtaining this, the deviation from the desired loop gain can be adjusted by a digitally controlled charge pump in order to derive the wanted loop transfer function. This is mandatory for predistortion modulation loops
PERBEDAAN INTENSI AGRESI BERDASARKAN POLA ATTACHMENT PADA REMAJA PUTRI YANG TINGGAL DI PANTI ASUHAN

The objective of this research is to know whether there are any differences intensions of aggression based on attachment styles in girls who live in orphanages. These researches based on interaction between people that make attachment styles. Differences in attachment styles (secure attachment, fearful-avoidant attachment, preoccupied attachment, and dismissing attachment) make differences in aggression. Aggression in insecure attachment styles (fearful-avoidant attachment, preoccupied attachment, and dismissing attachment) is higher than aggression in secure attachment style. Aggression in orphanage is verbal aggression like humiliate other people. Aggression is cause by differences assumption or differences view, and sometimes joking can make aggression in orphanage. This research use one-way ANOVA, and the result shows that there is no significant difference of aggression based on attachment styles in girls who live in orphanages with significance 0.179, p > 0.05.
Alter und gesundheitliche Ungleichheit: Ausgangspunkte für sozialraumbezogene Primärprävention

Demografische und epidemiologische Entwicklungen lassen einen erheblich erhohten Druck auf die medizinische und pflegerische Versorgung erwarten. Daraus ergibt sich die Dringlichkeit zweier gesellschaftspolitischer Ziele: die Gesundheit der Alteren zu erhalten sowie ihre Potentiale zu nutzen. Da sich gesundheitliche Ungleichheit bis ins hohe Alter fortsetzt, sind soziookonomische und gesundheitliche Ungleichheit und die Zusammenhange zwischen ihnen sind wichtige Themen im Zusammenhang mit Pravention, auch im Alter. Im vorliegenden Paper werden daher Eckpunkte fur primarpraventive Strategien mit benachteiligten Alteren entwickelt. Der erste Teil des vorliegenden Discussion Papers fasst den derzeitigen Stand zu Gesundheits- und Krankheitsmustern sowie Befunde zur sozial bedingten Ungleichheit der Gesundheitschancen bei alteren Menschen zusammen. Im zweiten Teil werden theoretische und empirische Ansatzpunkte zum Verstandnis des Zusammenhangs zwischen soziookonomischer und gesundheitlicher Ungleichheit aufgezeigt: Bourdieus Konzepte des okonomischen, kulturellen und sozialen Kapitals sowie Befunde zum Verhaltnis von Bildung und gesellschaftlicher Partizipation im Alter. Auf diesem Hintergrund wird ein soziallagensensibles Modell der Kontext- und Prozessfaktoren fur aktives und gesundes Altern vorgestellt. Im dritten Teil wird eine Standortbestimmung fur geeignete primarpraventive Interventionsstrategien fur benachteiligte Altere unternommen. Der Stadtteil (die Kleinstadt, das Dorf) wird als relevantes Setting fur praventive Strategien eingefuhrt und begrundet. Im Anschluss werden Ergebnisse einer im Jahr 2005 durchgefuhrten Pilotrecherche zum Thema 'stadtteilbasierter Gesundheitsforderung fur benachteiligte altere Menschen' dargestellt: Erfolgreiche Projekte arbeiten zielgruppenspezifisch, aktivierend und partizipativ. Bedurfnisse der Zielgruppen betreffen breite Themenspektren. Die Unterstutzung sozialer Vernetzung alterer Menschen gilt als zentral. Erfolgreiche Projekte bauen auch auf lokale Akteursnetzwerke, um Ressourcen im Stadtteil zu erschliesen. Evaluation und Qualitatsmanagement befinden sich noch im Anfangsstadium. Abschliesend werden Schlussfolgerungen fur den bestehenden Forschungsbedarf gezogen.
GABAa receptors contribute to synaptic integration in lateral amygdala neurons

In classical fear conditioning a neutral conditioned stimulus (CS) such as a tone, is paired with an aversive unconditioned stimulus (US) such as a shock. The CS thereby acquires the capacity to elicit a fear response. This type of associative learning is thought to require co-activation of principle neurons in the lateral nucleus of the amygdala (LA) by two sets of synaptic inputs, a weak CS and a strong US.
Monoclonal antibodies in the analysis of fibronectin isoforms generated by alternative splicing of mRNA precursors in normal and transformed human cells

Recent results showing that a single fibronectin gene can give rise to several different mRNAs by alternative splicing have offered an explanation for fibronectin polymorphism. Here we report on monoclonal antibodies that show specificity for a fibronectin segment (ED) that can be included or omitted from the molecule depending on the pattern of splicing of the mRNA precursors. Using these monoclonals, we have quantitatively analyzed the expression of the ED sequence in human fibronectin from different sources. The results demonstrated that, at the protein level, the ED segment is not expressed in plasma fibronectin and that, in fibronectin from the tissue culture medium of tumor-derived or simian virus-40-transformed human cells, the percentage of fibronectin molecules containing the ED segment is about 10 times higher than in fibronectin from normal human fibroblasts. These results suggest that in malignant cells the mechanisms that regulate the splicing of mRNA precursors are altered.