Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel CMOS low-loss transmission line structure

As operating speeds increase low-loss interconnect structures such as transmission lines become critical in the design of RF and high speed digital circuits. This paper presents a novel low-loss transmission line structure. We discuss the importance of transmission line structures, including coplanar and grounded coplanar structures. Grounded coplanar waveguide (GCPW) structures are enhanced to reduce the substrate loss. The primary goal of new interconnect topology, stacked GCPW (S-GCPW), is to reduce the loss by shaping the electric fields under the signal line. 3D electromagnetic wave simulations are used to verify the efficacy of the new transmission line structures. The insertion loss for a 4 mm long S-GCPW structure is 1.62 dB@50 GHz (0.41dB/mm) while the insertion loss for a 4 mm long traditional GCPW structure is 3.28 dB (0.82 dB/mm) in a 0.12 /spl mu/m SOI CMOS technology.
Presence of viral antigens and antibody in the trachea of chickens infected with avian infectious bronchitis virus.

Following infection of chickens with infectious bronchitis virus (strain M41) viral antigens were detected by immunofluorescence in the basal layer of the tracheal mucosal epithelium for 44 days. The enzyme-linked immunosorbent assay (ELISA) first detected virus-specific antibody in tracheal washes 7 days after infection and at 10 days these antibodies reached a level that was maintained for at least 44 days, although there was considerable variation between chickens. In contrast a neutralisation test did not detect antibody until day 20 ; titres were in the range 2.2 to 3.2 log2 reaching a maximum at day 27. ELISA detected anti-viral IgA in tracheal washes only on day 7, whereas IgG was detected in all samples containing anti-viral antibody. Serum anti-viral antibodies were detected by ELISA at 7 days and reached peak titres at 10 days, which were maintained. In contrast, serum neutralising antibodies were first detected at 10 days and increased to peak titres on day 24. The implications of the differences between the results of ELISA and neutralisation tests are discussed.
hp-DPI: Helicobacter pylori Database of Protein Interactomes-embracing experimental and inferred interactions

We implemented a statistical model into our protein interaction database for validation of two-hybrid assays of Helicobacter pylori, and prediction of putative protein interactions not yet discovered experimentally. To present the enormous amount of experimental and inferred protein interaction networking maps, the H.pylori Database of Protein Interactomes (hp-DPI) is developed with a succinct yet comprehensive visualization tool integrated with annotation from Genbank, GO, and KEGG. hp-DPI is first built with, but not limited to, H.pylori protein interactions and is expected to naturally include other organisms' protein interacting relationships in the future.
STABILITY AND BIFURCATION IN A SIMPLIFIED FOUR-NEURON BAM NEURAL NETWORK WITH MULTIPLE DELAYS

We first study the distribution of the zeros of a fourth-degree exponential polynomial. Then we apply the obtained results to a simplified bidirectional associated memory (BAM) neural network with four neurons and multiple time delays. By taking the sum of the delays as the bifurcation parameter, it is shown that under certain assumptions the steady state is absolutely stable. Under another set of conditions, there are some critical values of the delay, when the delay crosses these critical values, the Hopf bifurcation occurs. Furthermore, some explicit formulae determining the stability and the direction of periodic solutions bifurcating from Hopf bifurcations are obtained by applying the normal form theory and center manifold reduction. Numerical simulations supporting the theoretical analysis are also included.
Impact of IDM Lane-Changing on the Performance of AODV on VANETs

In order to introduce a realistic simulation environment to support the research on vehicular Ad hoc Networks (VANETs), the human behavior must be studied, understood and included in the mobility model representing the vehicles movement. This paper studies the behavior of the driver concerning specifically the decision to change the lane. Our study is based on real world observations and safety driving rules, and introduces a new lane-changing simulator accordingly. This simulator is integrated within Intelligent Driver Model with Intersection Management (IDM-IM) and compared with Intelligent Driver Model with Lane Changes (IDM-LC) as well as IDM-IM mobility models provided by VanetMobiSim framework, concerning their effects on the performance of Ad hoc On Demand Routing Protocol (AODV) and reality imitation. Keywords-component; VANETs; mobility models; lane changing simulation; performance evaluation; routing protocols
Postsynaptic TrkB-Mediated Signaling Modulates Excitatory and Inhibitory Neurotransmitter Receptor Clustering at Hippocampal Synapses

Tyrosine receptor kinase B (TrkB)-mediated signaling modulates synaptic structure and strength in hippocampal and other neurons, but the underlying mechanisms are poorly understood. Full-length and truncated TrkB are diffusely distributed throughout the dendrites and soma of rat hippocampal neurons grown in vitro. Manipulation of TrkB-mediated signaling resulted in dramatic changes in the number and synaptic localization of postsynaptic NMDA receptor (NMDAR) and GABAA receptor (GABAAR) clusters. BDNF treatment resulted in an increase in the number of NMDAR and GABAAR clusters and increased the proportion of clusters apposed to presynaptic terminals. Downregulation of TrkB signaling resulted in a decrease in receptor cluster number and synaptic localization. Examination of the time course of the effects of BDNF on receptor clusters showed that the increase in GABAAR clusters preceded the increase in NMDAR clusters by at least 12 hr. Moreover, the TrkB-mediated effects on NMDAR clusters were dependent on GABAAR activation. Although TTX, APV, and CNQX treatment had no effect, blockade of GABAARs with bicuculline abolished the BDNF-mediated increase in NMDAR cluster number and synaptic localization. In contrast, application of exogenous GABA prevented the decrease in NMDAR clusters induced by BDNF scavenging. Together, these results suggest that TrkB-mediated signaling modulates the clustering of postsynaptic GABAARs and that receptor activity is required for a subsequent upregulation of NMDAR clusters. Therefore, TrkB-mediated effects on postsynaptic neurotransmitter clusters may be part of a mechanism that balances inhibitory and excitatory synaptic transmission in developing neural circuits.
A Generalized Fellegi–Sunter Framework for Multiple Record Linkage With Application to Homicide Record Systems

We present a probabilistic method for linking multiple datafiles. This task is not trivial in the absence of unique identifiers for the individuals recorded. This is a common scenario when linking census data to coverage measurement surveys for census coverage evaluation, and in general when multiple record systems need to be integrated for posterior analysis. Our method generalizes the Fellegi–Sunter theory for linking records from two datafiles and its modern implementations. The goal of multiple record linkage is to classify the record K-tuples coming from K datafiles according to the different matching patterns. Our method incorporates the transitivity of agreement in the computation of the data used to model matching probabilities. We use a mixture model to fit matching probabilities via maximum likelihood using the Expectation–Maximization algorithm. We present a method to decide the record K-tuples membership to the subsets of matching patterns and we prove its optimality. We apply our method to the integration of the three Colombian homicide record systems and perform a simulation study to explore the performance of the method under measurement error and different scenarios. The proposed method works well and opens new directions for future research.
Diminished Reality using Multiple Handheld Cameras

In this paper, we present a system for Diminished Reality with multiple handheld camera system. In this paper, we assume a situation such that the same scene is captured with multiple handheld cameras, but some objects occlude the scene. In such case, we propose a method for synthesizing image for each camera in which the occluding objects are diminished by the support of the different cameras that capture the same scene at the different viewpoints. In the proposed method, we use the AR-Tag marker to calibrate the multiple cameras, so that online process can be possible. By the use of AR tag, we compute homographies for between each camera’s imaging plane and the objective scene that is approximated as a planar in this research. The homography is used for warping the planar area for synthesizing the viewer’s image that includes only the objective scene without the occluding object that cannot be approximated as a planar area. We demonstrate that the viewer’s image without the occluding object can be synthesized for every camera on-line, even though all the cameras are freely moving for all cameras each camera that relates.
Safety for a robot arm moving amidst humans by using panoramic vision

This paper describes how the use of panoramic cameras can dramatically simplify safety issues for a robot arm moving in close proximity to human beings, since they can simultaneously observe a 360deg field of view. We present in this context an approach to visual servoing in which both the manipulator as well as any other moving object are tracked. Reliability and robustness are enhanced by adaptative background modelling and global illumination change detection.
Comparative molecular moment analysis (CoMMA): 3D-QSAR without molecular superposition.

3d-QSAR procedures utilize descriptors that characterize molecular shape and charge distributions responsible for the steric and electrostatic nonbonding interactions intimately involved in ligand-receptor binding. Comparative molecular moment analysis (CoMMA) utilizes moments of the molecular mass and charge distributions up to and including second order in the development of molecular similarity descriptors. As a consequence, two Cartesian reference frames are then defined with respect to each molecular structure. One frame is the principal inertial axes calculated with respect to the center-of-mass. For neutrally charged molecular species, the other reference frame is the principal quadrupolar axes calculated with respect to the molecular "center-of-dipole. " QSAR descriptors include quantities that characterize shape and charge independently as well as quantities that characterize their relationship. 3D-QSAR partial least squares (PLS) cross-validation procedures are utilized to predict the activity of several training sets of molecules previously investigated. This is the first time that molecular electrostatic quadrupolar moments have been utilized in a 3D-QSAR analysis, and it is shown that descriptors involving the quadrupolar moments and related quantities are required for the significant cross-validated predictive r2's obtained. CoMMA requires no superposition step, i.e., no step requiring a comparison between two molecules at any stage of the 3D-QSAR calculation.
Advances in two-dimensional and three-dimensional laser imagery modeling

Laser radar (Ladar) technology has enjoyed significant advances over the past decade. Novel focal plane areas, compact laser illuminators and advanced signal processing have enabled the construction of low power 2-D and 3-D laser imagery systems. The applications of such systems range from surveillance, targeting and weapons guidance to target identification. This paper deals with modeling of new optical non-conventional imaging with laser systems. In this paper, we present the simulation of the 3D ladar sensor including physics based modeling of laser backscattering from complex rough targets, reflectance modeling of porous occluders, development of 3D scenes and reconstruction algorithms for identification. This paper addresses the utility of physics based scene simulation in support of tomography algorithms for reconstructing optical three-dimensional scenes. This includes a review of the physics and phenomenology that can be modeled and examples of scene.
High Frequency of Germline TP53 Mutations in a Prospective Adult-Onset Sarcoma Cohort

Sarcomas are a key feature of Li-Fraumeni and related syndromes (LFS/LFL), associated with germline TP53 mutations. Current penetrance estimates for TP53 mutations are subject to significant ascertainment bias. The International Sarcoma Kindred Study is a clinic-based, prospective cohort of adult-onset sarcoma cases, without regard to family history. The entire cohort was screened for mutations in TP53 using high-resolution melting analysis and Sanger sequencing, and multiplex-ligation-dependent probe amplification and targeted massively parallel sequencing for copy number changes. Pathogenic TP53 mutations were detected in blood DNA of 20/559 sarcoma probands (3.6%); 17 were germline and 3 appeared to be somatically acquired. Of the germline carriers, one appeared to be mosaic, detectable in the tumor and blood, but not epithelial tissues. Germline mutation carriers were more likely to have multiple cancers (47% vs 15% for non-carriers, P = 3.0×10−3), and earlier cancer onset (33 vs 48 years, P = 1.19×10−3). The median survival of mutation carriers following first cancer diagnosis was not significantly different from non-carriers. Only 10/17 (59%) pedigrees met classical or Chompret criteria for LFS. In summary, germline TP53 mutations are not rare in adult patients with sarcoma, with implications for screening, surveillance, treatment and genetic counselling of carriers and family members.
Methoden zur Beobachtung des Unterrichtsverhaltens von Lehrern und Schülern

Wulf, Christoph [Hrsg. ]: Evaluation. Beschreibung und Bewertung von Unterricht, Curricula und Schulversuchen. Munchen : R. Piper & Co. Verlag 1972, S. 211-238. - (Erziehung in Wissenschaft und Praxis; 18) Padagogische Teildisziplin: Empirische Bildungsforschung;
How the Employees’ Perceptions of Corporate Social Responsibility Make Them Happier and Psychologically Stronger

Corporate social responsibility (CSR) has been studied primarily at the macro level, with few studies taking into account the individual level. Furthermore, there are calls for more investigation on the antecedents of employees’ psychological capital (PsyCap). This study bolsters both areas. The paper shows how the employees’ perceptions of CSR predict their PsyCap both directly and through the mediating roles of positive affect and the sense of meaningful work. Two hundred and seventy-nine employees participate. The study uses structural equation modeling to test the hypothesized model. The findings suggest that both positive affect and the sense of meaningful work partially mediate the relationship between the perceptions of CSR and PsyCap. The study helps to understand the underlying mechanisms linking CSR with outcomes at the individual level. Studying CSR at the individual level is valuable for both academic and practical reasons.
SAFETY ATTITUDES AND SAFETY AMBIVALENCE AMONG OFFICERS FROM THE PHILIPPINES AND NORWAY

This study is conducted with a sample of Norwegian and Philippino officers sailing on Norwegian owned vessels. A self administered questionnaire with 36 items, together with 14 questions about age, sex, education, occupation, duration of employment, involvement in accident and a summary question on safety attitude, was used to collect the data. A total of 991 questionnaires were returned from 141 vessels and 16 shipping companies, giving a calculated response rate of 67%. Of the officers 49% were from the Philippines and 51% from Norway. Nearly all respondents were male. Exploratory factor analysis resulted in 6 dimensions/scales with a Cronbach alpha higher than 0.65 that were used as input in regression analysis. Attitude ambivalence has often been found to have moderating effects on attitude-intention relations (Costarelli and Colloca, 2007). In this paper Safety ambivalence is measured as an index of mixed attitudes based on two safety affect variables, one with positive and one with negative connotation. The index is computed as a “Griffin-index” (see, for example, Thompson et al., 1995; Connor and Sparks, 2002) based on the two variables Positive affect (PA) and Negative affect (NA), respectively, where Safety ambivalence = (PA + NA)/2 - |PA - NA|. Safety ambivalence has both a direct negative effect on Positive safety attitude as well as a moderating effect on the links from antecedents to Positive safety attitude. Norwegian and Philippino officers showed no significant difference with respect to Fatalism.
The Intention and Reflection Model

Abstract Increasing attention has been given to therapist self-disclosure (TSD) in light of the gay therapist's sexual orientation. Gay male therapist self-disclosure of sexual orientation is a reflection of identity management for this population. This paper describes the Intention and Reflection Model (IRM) of gay male therapeutic identity management, which focuses on three central topical areas: identity creation, preparatory identity management, and relational identity management. It also provides two case examples (gay and straight client) of IRM application in clinical practice.
How multi-levels of individual and team learning interact in a public healthcare organisation: a conceptual framework

ABSTRACT The aim of this paper is to review the relevant literature on organisational learning and offer a preliminary conceptual framework as a basis to explore how the multi-levels of individual learning and team learning interact in a public healthcare organisation. The organisational learning literature highlights a need for further understanding of how the multi-levels of organisational learning interact and a broadly accepted theory of organisational learning has not yet emerged. Organisational learning is a multi-level concept and while there has been some multi-level research, more is required to understand the mechanisms that facilitate the flow of learning between the levels. This paper explores multi-level learning, using action learning as a basis through which we consider how individual learning and team learning interact. The preliminary conceptual framework seeks to contribute to our understanding of the interaction between the individual and team levels of learning and the processes and conditions that facilitate or hinder the flow of learning. As this framework provides a means of exploring individual learning in a team setting it has the potential to develop understanding as to how to enhance the effectiveness of learning interactions in the healthcare sector and other sectors. In turn this exploration could lead to enhanced understanding of the mechanisms involved in the flow of learning.
Husbands' perceptions of wives' adjustment to breast cancer: the impact on wives' mood

Married women's adjustment to breast cancer is positively influenced by their husbands' emotional support and by both spouses' active coping strategies. However, little is known about how women's adjustment is related to their husbands' perceptions of their psychosocial impairment. The current study examined the relationships among wives' coping strategies, the extent of congruence between wives' and husbands' perceptions of wives' adjustment, and wives' mood disturbance in 45 women with Stage I or II breast cancer and their husbands. Mediational analyses demonstrated that discrepancies between husbands' perceptions of wives' adjustment and wives' perceptions of their own adjustment mediated the relationship between wives' use of avoidant coping strategies and wives' mood disturbance. The findings suggest that husbands' over‐ or under‐estimation of wives' adjustment may have a negative impact on wives' mood. Implications for future research are discussed. Copyright © 2007 John Wiley & Sons, Ltd.
Estimation of Asymmetric Garch Models: The Estimating Functions Approach

This paper introduces the method of estimating functions (EF) in the estimation of the Asymmetric GARCH family of models. This approach utilises the third and fourth moments which are common in financial time series data analysis and does not rely on distributional assumptions of the data. Optimal estimating functions have been constructed as a combination of linear and quadratic estimating functions. Estimates from the estimating functions approach are better than those of the traditional estimation methods such as the maximum likelihood estimation (MLE) especially in cases where distributional assumptions on the data are highly violated. We investigate the presence of asymmetric (leverage) effects in empirical time series and fit two of the most popular Asymmetric GARCH models (EGARCH and GJR-GARCH) under both the MLE and EF approaches. An empirical example demonstrates the implementation of the EF approach to Asymmetric GARCH models assuming a student’s – t distribution for the innovations. The efficiency benefits of the EF approach relative to the MLE method in parameter estimation are substantial for non-normal cases.
Detection and Classification of Network Intrusions Using Hidden Markov Models 1

This paper demonstrates that it is possible to model attacks with a low number of states and classify them using Hidden Markov Models with very low False Alarm rate and very few False Negatives. We also show that the models developed can be used for both detection and classification. We put emphasis on detection and classification of network intrusions and attacks using Hidden Markov Models and training on anomalous sequences. We test several algorithms, apply different rules for classification and evaluate the relative performance of these. Several of the attack examples presented exploit buffer overflow vulnerabilities, due to availability of data for such attacks. We emphasize that the purpose of our algorithms is not only the detection and classification of buffer overflows; they are designed for detecting and classifying a broad range of attacks.
A dialogue-based knowledge authoring system for text generation

One of the main obstacles to the development of any text generation system is the difficulty of creating the knowledge base from which texts are generated. In particular, a system which performs sentence generation ‘from scratch’ requires a great deal of information about how concepts in its knowledge base are expressed syntactically. Unsurprisingly, it has proven very difficult to build tools which acquire such information from people with no specialist expertise in linguistics and semantics. However, there is another method for acquiring such information which has been largely overlooked: if we want to build a knowledge base that allows full sentence generation, all we need is a bidirectional sentence processing system in which a single declarative grammar supports both sentence generation and sentence interpretation. With such a system, authoring new facts in the knowlege base can be achieved very naturally in the context of a natural language dialogue.