Miracle-dz/UniFAR-FTUs huggingface dataset:
Monolithic Transformers for High Frequency Bulk CMOS Circuits

3B Abstract — This paper presents two monolithic transformer structures exhibiting high self resonance frequencies(fSR). Effect of positive and negative coupling factor on self resonance frequency is investigated. The transformer turn ratio and structure is selected to improve design and ease layout of a high frequency LNA and VCO. Measurement results of a transformer show good agreement with simulated values and demonstrate a coupling factor of 0.7 at 20 GHz. 4B Index Terms — CMOS integrated circuits, Coupling factor, Monolithic transformer, self resonance frequency.
Organic real-time programming — Vision and approaches towards self-evolving and adaptive real-time software

For upcoming Cyber Physical Systems with a high need of adaptation to changing environments an appropriate programming approach is needed. In this paper we argue that such systems have to be highly adaptive and self-evolving. The general vision and approach is pointed out. Furthermore specific approaches solving important aspects of such a programming paradigm are presented. The aspects discussed include the identification of adaptation needs using online Model Checking, real-time-aware adaptation mechanisms, and self-adapting safety guards by means of Artificial Immune Systems.
Optimal transmission policies for two-user multiple access broadcast using dynamic team theory

Optimal transmission policies for a two-user multiple access broadcast channel with binary feedback are investigated. The system is modeled as a dynamic team. Conditioned on the channel feedback, the past history of buffer states is redundant to each user. Once this redundant data is removed, the information structure, although non-classical, satisfies the sufficient conditions of Mahajan, Nayyar, and Teneketzis, 2008 for a dynamic team problem to be tractable. Using the idea of a virtual coordinator of Mahajan, Nayyar, and Teneketzis, a dynamic programming decomposition is presented. This dynamic program is defined over a countable state space and a finite action space. When the arrival rates of both users are symmetric, an optimal policy is identified by solving the dynamic program analytically. This policy matches the optimal window protocol proposed by Hluchyj and Gallager, 1981. Thus, this paper presents the an example of a non-trivial dynamic team with non-linear dynamics where an exact analytic solution is obtained.
Reconfigurable Hardware Implementation of Arithmetic Modulo Minimal Redundancy Cyclotomic Primes for ECC

The dominant cost in Elliptic Curve Cryptography (ECC) over prime fields is modular multiplication. Minimal Redundancy Cyclotomic Primes (MRCPs) were recently introduced by Granger~\ea for use as base field moduli in ECC, since they permit a novel and very efficient modular multiplication algorithm. Here we consider a reconfigurable hardware implementation of arithmetic modulo a $258$-bit example, for use at the $128$-bit AES security level. We examine this implementation for speed and area using parallelisation methods and inbuilt FPGA resources. The results are compared against a current method in use, the Montgomery multiplier.
The Relationship between Learning Conditions in the Workplace and Informal Learning Outcomes: A Study Among Police Inspectors

Informal workplace learning has become a prominent reality in the knowledge society of today. For this reason, developing appropriate learning conditions in order to enhance workplace learning is dominating organizational agendas. However, research that investigates the relationship between important learning conditions and learning outcomes resulting from informal learning is scarce. Therefore, the main purpose of this study is to explore how learning conditions in the workplace are related to these informal learning outcomes of police inspectors in particular. A mixed method study, including a survey among 390 police inspectors and interviews with nine police inspectors, was set up to explore this relation. Overall, the results of the survey study suggest that the learning conditions ‘information’, ‘feedback’, ‘reflection’ and ‘coaching’ are good predictors for the acquisition of ‘generic learning outcomes’ and ‘organizational level learning outcomes’. The learning condition ‘coaching’ is also strongly associated with ‘job-specific learning outcomes’. These results are in accordance with the perception of the interviewed police inspectors.
EL COMPORTAMIENTO AGONISTICO DE HEMBRAS ADULTAS DE LYCOSA TARENTULA FASCIIVENTRIS (ARANEAE, LYCOSIDAE)

Dyadic interactions between adult females of Lycosa tarentula fasciiventris in the laboratory are described. Our results show motor patterns that are not very specific to the context, little ritualized fighting, resulting in a high frequency of cannibalism and a great variability in the duration of the sequences.
Towards energy-aware VM scheduling in IaaS clouds through empirical studies

Energy-efficient computing has become increasingly important to modern HPC systems such as clouds. In this thesis we explore the ’green’ opportunities with virtualization technologies in clouds through systemlevel optimizations, and specifically focus on energy-savings by energyaware scheduling of virtual machines. A system-level approach of optimization for green cloud computing requires in-depth understanding of the power characteristics of virtual machines with respect to patterns of workloads running on them. The first step we took in this direction is to deploy a private cloud system with facilities provided by DAS-4 clusters and thoroughly characterize its power behavior. We broadly identified three power metrics, i.e. power, power efficiency and energy. by executing several types of high performance computing workloads on both the VM and host, we compare their performance with respect to these three metrics. In addition to that, we also analyze the composition of the total power consumption of a single work node, and evaluate the contributions of individual components, i.e., CPU, memory and HDD. As a result of these profiling experiments, a linear power model is derived to represent the power behavior of a single work node, which is further extended to describe an entire cloud. With the help of this model, an novel energy-savvy scheduler is proposed to make use of the monitoring system to support system-level optimization with on-the-fly VM scheduling and dynamic resource adaptation.
Extracting human limb region using optical flow and nonlinear optimization

We propose a method for extracting human limb regions by combination of optical flow based motion segmentation and nonlinear optimization based image registration. First, rotating limb regions with rough boundaries are extracted and motion parameters are estimated for an approximated model. Then the extracted region and estimated parameters are used as initial values for nonlinear optimization that minimizes residuals of two successive frames and estimates motion parameters. Combining the two steps reduces computational costs and avoids the initial state problem of optimization. According to estimated parameters, the limb region is extracted by Bayesian classifier to obtain accurate region boundaries. Experimental results on real images will be shown.
TB-IRIS, T-cell activation, and remodeling of the T-cell compartment in highly immunosuppressed HIV-infected patients with TB

Objective:To investigate the impact of tuberculosis-associated immune reconstitution inflammatory syndrome (TB-IRIS) upon immunological recovery and the T-cell compartment after initiation of TB and antiretroviral therapy (ART). Design and methods:We prospectively evaluated T-cell immunophenotypes by flow cytometry and cytokines by Luminex assays in a subset (n = 154) of highly immunosuppressed HIV-infected patients with TB from the Cambodian Early versus Late Introduction of Antiretrovirals randomized clinical trial. We compared findings from patients who developed TB-IRIS with findings from patients who did not develop TB-IRIS. Data were evaluated with mixed-effect linear regression, Kaplan–Meier estimates, and Wilcoxon rank-sum tests, and q-values were calculated to control for multiple comparisons. Results:Development of TB-IRIS was associated with significantly greater pre-ART frequencies of HLA-DR+CD45RO+CD4+, CCR5+CD4+, OX40+CD4+, and Fas+ effector memory CD8+ T cells, and significantly elevated levels of plasma interleukin (IL)-6, IL-1&bgr;, IL-8, and IL-10, and viral load. Post-ART initiation, effector memory CD4+ and Fas+ effector memory CD4+ T-cell frequencies significantly expanded, and central memory CD4+ T-cell frequencies significantly contracted in patients who experienced TB-IRIS. By week 34 post-TB treatment initiation, effector memory/central memory CD4+ T-cell ratios were markedly higher in TB-IRIS versus non-TB-IRIS patients. Conclusions:A distinct pattern of pre-ART T-cell and cytokine markers appear to poise the immune response of certain patients to develop TB-IRIS. Experience of TB-IRIS is then associated with long-term remodeling of the CD4+ T-cell memory compartment towards an effector memory-dominated phenotype. We speculate that these pre and post-ART TB-IRIS-associated immune parameters may contribute to superior immune control of TB/HIV co-infection and better clinical outcome.
A Qualitative Analysis of Moses

A state of the art statistical machine translation model is trained, using phrase-based translation and factored models and the Europarl-corpus. This model is used to translate an English text into Dutch, in order to run a qualitative evaluation on it. This evaluation attempts to capture the information preservation during machine translation. e2e p(fje)p(e) (3) According to Bayes' theorem, p(ejf ) can be rewrit- ten as p(fje)p(e), in which p(fje) represents the trans- lation model and p(e) the language model. The trans- lation model models the chance that e is the translation of f (which is not necessarily the same as p(ejf )) and p(e) models the probability of e's occurrence. As men- tioned before, translating f into e involves a search for the "best" e, maximising p(fje)p(e), which is called de- coding. Decoding always employs heuristics in order to reduce the search space and thus increase e ciency, keeping acceptable quality. Without these heuristics, a decoder would have to use an exhaustive search involv- ing all known native sentences, which is obviously not feasible for most translation tasks.
Size-correction Technique for k•p Simulation of Silicon Quantum Dots

In this work we propose a correction to the effective mass approach (EMA), to be used in Si quantum dot simulations. With this technique we obtained results comparable to those calculated by the tight-binding method (TB). We used this new approach to obtain the hole spectra in spherical quantum dots by means of a fast algorithm, thus improving the accuracy of the EMA.
A 58.3-to-65.4 GHz 34.2 mW sub-harmonically injection-locked PLL with a sub-sampling phase detection

This paper presents a low power and low noise sub-harmonically injection-locked PLL using a 20GHz sub-sampling PLL (SS-PLL) and a quadrature injection locked oscillator (QILO). Lower in-band phase noise and out-of-band phase noise have been achieved through the sub-sampling phase detection and sub-harmonic injection techniques, respectively. Implemented in a 65nm CMOS, this work can support all 60GHz channels and achieves a phase noise of -115dBc/Hz at 10MHz offset while consuming 20.2mW and 14mW from the 20GHz SS-PLL and the QILO, respectively.
A PAMPA Assay as Fast Predictive Model of Passive Human Skin Permeability of New Synthesized Corticosteroid C-21 Esters

The permeation properties of twenty newly synthesized α-alkoxyalkanoyl and α-aryloxyalkanoyl C-21 esters of standard corticosteroids: Fluocinolone acetonide, dexamethasone, triamcinolone acetonide and hydrocortisone were established using a PAMPA assay (70% silicone oil and 30% isopropyl myristate). The data were compared with parent corticosteroids with addition of mometasone furoate and hydrocortisone acetate. All newly synthesized corticosteroid C-21 esters have effective permeability coefficients higher then -6, mostly followed with high values of retention factors and low permeation. The examined compounds were grouped through relationship between obtained retention factors and permeation parameters (groups I–III). The classification confirmed group I (membrane retentions as well as permeation lower then 30%) for all corticosteroid standards except mometasone furoate, a potent topical corticosteroid which, with high membrane retention (81%) and low permeation (7.7%) fits into group III. The largest number of new synthesized corticosteroids C-21 esters, among them all fluocinolone acetonide C-21 esters, have high membrane retentions (32.4%–86.5%) and low permeations (1.3%–27.1%), fitting in group III. The classification was related to previously obtained anti-inflammatory activity data for the fluocinolone acetonide C-21 esters series. According to the PAMPA results the new synthesized esters could be considered as potential new prodrugs with useful benefit/risk ratio.
A Cultural Lens on Interpersonal Conflict and Creativity in Multicultural Environments

The literature on the effects of cultural diversity on conflict and team performance has been dominated by the information processing and social categorization theories. This article adds to the existing literature by adopting a dynamic constructivist approach detailing the effects of interpersonal conflict on cognition in multicultural environments. The fulcrum of this model is whether the conflict is interpreted as a threat. We describe the relationships between multicultural environments and perceived conflict; perceived conflict and the perception of threat; and the perception of threat on individual creativity via prevention or promotion orientations. Drawing from the dynamic constructivist approach to culture, this model highlights how culture, as shared mental models and shared meanings, may moderate these relationships. Cultural meanings may influence whether a situation is perceived as a conflict, whether conflict is interpreted as a threat, and individuals’ tolerance for conflict. This model points out how culture may be used to impact the relationship between multicultural environments and creativity.
Asymmetrically committed relationships

This study compared romantic relationships in which there was a substantial difference (>1 SD) in the commitment levels of the two partners to those with more equal levels. These asymmetrically committed relationships (ACRs) were studied in a national, longitudinal sample of unmarried, opposite-sex romantic relationships (N = 315 couples); 64.8% (n = 204) of relationships were categorized as non-ACRs, 22.8% were ACRs in which the male partner was less committed than the female partner (n = 72), and 12.4% (n = 39) were ACRs in which the female partner was less committed than the male partner. Those who were cohabiting or who had children together were more likely to be in ACRs than those without these characteristics. Compared to those not in ACRs, the less committed partners in ACRs (referred to as “weak links”) reported lower relationship adjustment, more conflict, and more aggression in their relationships; however, these differences were explained by their low levels of commitment. The more committed partners in ACRs (“strong links”) also reported lower relationship adjustment, more conflict, and more aggression than those not in ACRs, even when controlling for their levels of commitment (which were also higher, on average, than those not in ACRs); this finding is noteworthy given that high levels of commitment usually inhibit conflict and aggression. Relationships in which the female partner was the weak link were more likely to break up within 2 years (54%) than those with male weak links (29%) or non-ACRs (34%). However, asymmetrical commitment was not nearly as important a predictor of breakup as females’ levels of commitment. The findings advance the understanding of asymmetrical commitment in romantic relationships and highlight the value of studying both members of a couple in research on commitment.
Transforming growth factor alpha (TGF alpha) expression in degenerating motoneurons of the murine mutant wobbler: a neuronal signal for astrogliosis?

The enhanced expression of the trophic factor transforming growth factor alpha (TGF alpha) in reactive astrocytes following CNS injury suggests that TGF alpha has a role in the development of astrogliosis. We explored this hypothesis in the murine mutant wobbler, which presents a progressive motoneuronal degeneration associated with an astrogliosis. Evolution of astrogliosis, and expression of TGF alpha precursor (pro-TGF alpha) and of its receptor were examined over the course of the disease, using genetically diagnosed animals and immunocytochemical techniques. We report here that degenerating motoneurons of the cervical spinal cord and a subset of astrocytes express pro-TGF alpha, prior to the onset of astrogliosis, when the first clinical manifestations of the disease are observed at 4 weeks of age. TGF alpha expression appeared strongly correlated with motoneuronal degeneration. All pro-TGF alpha-immunoreactive neurons exhibited a degenerative morphology, and the number of pro-TGF alpha- immunoreactive neurons increased with the progression of the disease. At the glial level, we observed that astrogliosis was a transitory phenomenon in the wobbler mice, developing in coordination with the motoneuronal expression of pro-TGF alpha. Astrogliosis became evident in 6-week-old wobbler mice, when the number of pro-TGF alpha- immunoreactive motoneurons was maximal, and regressed in older mutant mice in correlation with the disappearance of pro-TGF alpha- immunoreactive motoneurons. Furthermore, TGF alpha/EGF receptor immunoreactivity was exclusively localized in a subset of reactive astrocytes, its expression following closely the course of the astrogliosis. These data show that TGF alpha synthesis by the affected motoneurons is an early event in the course of the wobbler disease, and suggest a role for TGF alpha as a neuronal inducer of astrocytic reactivity.
A New R-tree Space Index Based on the Cluster of Grid Density and Dynamic Grid Division

The cluster based on the density is a kind of cluster analysis, its main merit is to discover cluster of arbitrary shape and insensitive to the noise data. R-tree organizes the space index according to the spatial data, the spatial overlapping is in a big way, the inquiry efficiency is low, in order to adapt the need of massive GIS inquiry application, this paper firstly carries on the division of the data set according to the grid density, uses the dynamic grid to carry on the expansion of its periphery data objects and the cluster to the R-tree nodes, makes the neighboring data be divided in the same smallest surrounding rectangle as far as possible, reduces the area of MBR, thus this index can reduce the overlapping of region divided in R-tree, enhance the retrieval efficiency.
Moving sensor nodes' tracking by WT-UKF in Wireless Sensor Networks

Tracking moving sensor node is a key point in Wireless Sensor Networks (WSN). However, it's difficult to achieve high tracking accuracy quickly because many problems should be solved. After analyzing those fundamental problems, Unscented Kalman Filter (UKF) is established to estimate the moving sensor node's localization and environment argument simultaneously. To adapt for the case of colored measurement noise, the UKF model is improved to form a time-lag UKF model with Gauss Noise based on the first-order Auto Regressive (AR) model of the colored noise. To decrease the influence of dynamic variance of measurement noise in the time-lag UKF model, Wavelet Transformation (WT) is used to estimate the standard deviation of the measurement noise on-line fast, and the new model is named WT-UKF. In simulations, results show that WT-UKF is always better than UKF when the number of the measurement values analyzed by WT in one interval is set properly.
Bayesian Estimation of the GARCH ( 1 , 1 ) Model : The R Package bayesGARCH

This introduction to the R package bayesGARCH is a shorter version of Ardia and Hoogerheide (2010), published in The R Journal and available at http://journal. r-project.org/. The package provides functions for the Bayesian estimation of the parsimonious and effective GARCH(1,1) model with Student-t innovations. The estimation procedure is fully automatic and thus avoids the tedious task of tuning an MCMC sampling algorithm.
How to Assess the External Validity and Model Validity of Therapeutic Trials: A Conceptual Approach to Systematic Review Methodology

Background. Evidence rankings do not consider equally internal (IV), external (EV), and model validity (MV) for clinical studies including complementary and alternative medicine/integrative medicine (CAM/IM) research. This paper describe this model and offers an EV assessment tool (EVAT©) for weighing studies according to EV and MV in addition to IV. Methods. An abbreviated systematic review methodology was employed to search, assemble, and evaluate the literature that has been published on EV/MV criteria. Standard databases were searched for keywords relating to EV, MV, and bias-scoring from inception to Jan 2013. Tools identified and concepts described were pooled to assemble a robust tool for evaluating these quality criteria. Results. This study assembled a streamlined, objective tool to incorporate for the evaluation of quality of EV/MV research that is more sensitive to CAM/IM research. Conclusion. Improved reporting on EV can help produce and provide information that will help guide policy makers, public health researchers, and other scientists in their selection, development, and improvement in their research-tested intervention. Overall, clinical studies with high EV have the potential to provide the most useful information about “real-world” consequences of health interventions. It is hoped that this novel tool which considers IV, EV, and MV on equal footing will better guide clinical decision making.
Exome sequencing identifies two novel PSEN 1 mutations ( p . L 166 V and p . S 230 R ) in British early onset Alzheimer ’ s

*The Alzheimer’s Research UK (ARUK) Consortium: Peter Passmore, David Craig, Janet Johnston, Bernadette McGuinness, Stephen Todd, Queen’s University Belfast, UK; Reinhard Heun, Royal Derby Hospital, UK; Heike Kölsch, University of Bonn, Germany; Patrick G. Kehoe, University of Bristol, UK; Nigel M. Hooper, University of Leeds, UK; Emma R.L. C. Vardy, University of Newcastle, UK; David M. Mann, Stuart Pickering-Brown, University of Manchester, UK; Kristelle Brown, James Lowe, Kevin Morgan, University of Nottingham, UK; A. David Smith, Gordon Wilcock, Donald Warden, University of Oxford (OPTIMA), UK; Clive Holmes, University of Southampton, UK.
Mass estimation in microgravity with a variable stiffness mechanism

A new method to estimate the mass of an object in microgravity is proposed in this paper. The proposed method uses a new mechanism that consists of a variable stiffness mechanism and an actuator. A sample is attached at the tip of a blade spring in the variable stiffness mechanism, which controls an effective length of the blade spring to adjust the stiffness. An actuator swings the mechanism periodically and satisfies the anti-resonance condition. Then, the mass of an object is estimated with the period of the swing and the length of the blade spring in the anti-resonance mode. The controller requires no system parameters to adjust the stiffness. Simulations and experiments are executed to verify the effectiveness of the proposed method.