Miracle-dz/UniFAR-FTUs huggingface dataset:
A 102–129-GHz 39-dB Gain 8.4-dB Noise Figure I/Q Receiver Frontend in 28-nm CMOS

An F-band in-phase/quadrature-phase (I/Q) receiver front-end in 28-nm CMOS for chip-to-chip communication is presented. The receiver consists of a capacitively neutralized differential low-noise amplifier (LNA) chain, a passive ring mixer, zero-IF drivers, and a novel tunable transformer-based quadrature splitter. This paper discusses the effect of capacitive neutralization on common-mode stability, matching losses, and the noise performance of a differential pair. A technique for gain and noise-figure optimization by core sizing and partial neutralization is presented. The receiver exhibits a gain of 39 dB, a 3-dB RF bandwidth of 27 GHz, a noise figure between 8.4 and 10.4 dB, and a P1 dB of 3.2 dBm. The receiver front-end consumes 18 mW from a 1.0-V supply and the baseband I and Q buffers consume a total of 33 mW from a 1.5-V supply. A breakout of the LNA shows a measured gain of 21 dB, a noise figure of 8.0-9.4 dB, with a gain power efficiency of 1.2 dB/mW around 125 GHz.
Patterns of distribution of childhood cancer in Africa.

BACKGROUND Very little is known about the regional variation in the incidence of childhood malignancies in Africa. The aim of the study was to perform a comprehensive analysis of the distribution of childhood cancer in Sub-Saharan Africa and compare the results to the Globocan estimations. METHODS A letter of invitation to participate was sent to all registry centers in Africa registered with the International Agency for Research on Cancer and to all African centers registered with AORTIC and SIOP Africa, requesting similar information as in CanReg 4. Childhood cancers were defined as those occurring below the age of 15 years. The data requested was from 2000 to 2010. The malignancies were classified and coded according to the International Classification of Childhood Cancer, 2004 system. Data obtained were analyzed using EpiInfo and Statistica 10 software. Information regarding the estimation of the numbers and incidence of the top 5 childhood cancers in specific countries was obtained from Globocan Web site. RESULTS There were 21 centers included in the study from 18 Sub-Saharan African countries. The data analyzed differed from center to center and included cases from 1985 to 2011. The proportion of childhood cancer out of all cancers ranged between 1.4% in Ghana to 10.0% in Rwanda. In Southern Africa, Kaposi sarcoma was the most common malignancy in children in Mozambique (15.8% of all cases) and the second most common in Zambia (15.6%) and in Malawi (12.4%). In Eastern Africa, Uganda recorded Kaposi sarcoma as the most common tumor in children (22.0%), while two Kenyan centers reported mainly Burkitt lymphoma (25.1 and 37.1%, respectively). In Central Africa, Congo classified retinoblastoma as the most common childhood cancer with an incidence of 20.1%. In Western Africa, Non-Hodgkin lymphoma was the most common in Ghana (53.6%), in Ivory Coast (73.6%) and in Mali (32.7%). Nephroblastoma remains the most common solid tumor in Africa exceeding 10% of total pediatric cancers in many countries (Rwanda 21.3%, Senegal 22%, Ivory Coast 14.5%, Mali 17.6%, Congo 15.5%, etc). CONCLUSION Unlike developed countries, lymphomas, nephroblastoma, Kaposi sarcoma and retinoblastoma were the most common pediatric tumors in Africa. Globocan estimations despite bringing significant contribution to the registration map cannot replace the data from local hospital and population-based registries. All efforts should be directed in developing functional and reliable childhood cancer registries across the African continent.
Fine structure of a core-shell system in photo-thermo-refractive glass

We report the results of a thorough investigation into the initial stages of the photo-thermo-induced crystallization process in photo-thermo-refractive glass. The spectral location of the absorption peak characteristic of the surface plasmon resonance in the silver nanoparticles is known to be highly sensitive to the dielectric parameters of the nanoparticle surrounding. We have studied the evolution of the peak location in the course of PTI crystallization process and shown that the red shift of the peak in glass is caused by the occurrence, around the silver nanoparticles, of highly-refractive shell of a mixed nature. The blue shift of the peak that can be observed under the reduced speed of the process was shown to be inflicted by the precipitation of sodium fluoride crystals. During further analysis was proven that shell is of 5.7 angstrom thickness. A couple of models examining shell possible evolution was proposed, namely sodium bromide and silver bromide crystal solid solution and silver bromide inclusions into the surrounding glass layer. Both approaches were modeled to obtain surface plasmon resonance shifts equal to experimentally observed ones. It was shown also that the observed blue shift of the plasmon resonance peak at the later stage of PTI crystallization is due to the NaF precipitation.
Multiple Flow in Extended SDN Wireless Mobility

5G, as the next generation telecommunications architecture that aims to tackle the explosion of connected devices, services and access technologies, will heavily rely on Software Defined Mechanisms (SDN) to compose its underlying mechanisms. Notwithstanding, despite the need for novel control procedures to support and optimize increasingly challenging wireless mobile scenarios, SDN has been being deployed at the core and backhaul sections of the network and is not actively considering its impact directly over the wireless mobile terminals themselves. The challenges associated with the extension of SDN protocols, such as Open Flow, all the way to the terminal requires the design and evaluation of frameworks that not only provide such mechanisms, but actually evaluate them and their benefits. This paper explores a framework where SDN mechanisms are extended all the way to the mobile node, in heterogeneous wireless environments featuring different mobile nodes with multiple data flows, which act both as consumers and producers of information. In this way, flow-based mobility management becomes available to the network controller entity, through the Open Flow protocol, allowing as well the assistance of the mobile nodes in the execution of the mobility procedure. The concept framework was implemented over a physical wireless test bed, validating its contribution in a mobile source-mobility use case, with results highlighting the promising benefits of extending SDN approaches for end-to-end flow control in wireless environments.
The Sphingosine-1-Phosphate (S1P) Lysophospholipid Receptor S1P3 Regulates MAdCAM-1+ Endothelial Cells in Splenic Marginal Sinus Organization

Marginal zones (MZs) are microdomains in the spleen that contain various types of immune cells, including MZ B cells, MOMA1+ metallophilic macrophages, and mucosal addressin cell adhesion molecule 1 (MAdCAM-1)+ endothelial cells. MAdCAM-1+ and MOMA1+ cells line the sinus, that separates MZs from splenic follicles. Here we show that a receptor for the lysophospholipid sphingosine-1-phosphate (S1P), S1P3, is required for normal numbers of splenic immature and MZ B cells, and for S1P-induced chemotaxis of MZ B cells. S1P3 is also essential for proper alignment of MOMA1+ macrophages and MAdCAM-1+ endothelial cells along the marginal sinus. The lack of cohesion of the marginal sinus in S1P3 −/− mice affects MZ B cell functions, as wild-type (WT) MZ B cells migrate more into S1P3 −/− follicles than into WT follicles after treatment with lipopolysaccharide. Additionally, short-term homing experiments demonstrate that WT MZ B cells home to the S1P3 −/− spleen in increased numbers, suggesting a role for the marginal sinus in regulating MZ B cells numbers. Moreover, S1P3 −/− mice are defective in mounting immune responses to thymus-independent antigen type 2 due to defects in radiation-resistant cells in the spleen. These data identify lysophospholipids and the S1P3 receptor as essential regulators of the MZ sinus and its role as a barrier to the follicle.
Parsing With Clause and Intra-clausal Coordination Detection

We present a new dependency parsing algorithm based on the decomposition of large sentences into smaller units such as clauses and intraclausal coordinations. For the identification of these units, new methods combining machine learning techniques and heuristic rules were developed. The algorithm was evaluated on the Slovene dependency treebank text corpus. Compared to the MSTP parser, currently the most accurate for Slovene, parsing accuracy was improved by 1.27 percentage points, which equals 6.4 % relative error reduction.
Mixed Reality System for Neurosurgery based on Operating Microscope

The aim of this project is to provide a Mixed (Augmented and Virtual) Reality platform, both educational, preand intraoperative purposes. The architecture is based on a prototype of a stereoscopic Augmented Reality (AR) microscope for ergonomic intra-operative presentation of complex preoperative three-dimensional structure (obtained by real patient’s images) for neurosurgical interventions realized in our institute. We are expanding this work using a haptic interface with force feedback to obtain the first example of neurosurgical training system using a real operating microscope.
Precipitation of Barite by Myxococcus xanthus: Possible Implications for the Biogeochemical Cycle of Barium

ABSTRACT Bacterial precipitation of barite (BaSO4) under laboratory conditions is reported for the first time. The bacterium Myxococcus xanthus was cultivated in a solid medium with a diluted solution of barium chloride. Crystallization occurred as a result of the presence of live bacteria and the bacterial metabolic activity. A phosphorous-rich amorphous phase preceded the more crystalline barite formation. These experiments may indicate the involvement of bacteria in the barium biogeochemical cycle, which is closely related to the carbon cycle.
AN ANALYSIS OF EXPERIENTIAL AND TEXTUAL MEANING OF KELAMBU NYAWA TEXT

Representation of experiential meaning, textual meaning, and general ideology realized in Mosquito Net text are problem in this research. It is aimed at investigating representation of experiential meaning, textual meaning, and general ideology in Kelambu Nyawa Text text are problem in this research and describing the relevance of the research result to learning discourse in higher education. It was conducted by using qualitative-quantitative descriptive (mixed-method). In collecting data, observation, interview, document and note-taking method were employed. Data analysis carried on with the orientation of formal and informal methods. The results showed that the dominant process found in the text of Mosquito Nets is a material process consisting of 115 (35.50%). The use participants in the text is dominated by participant I (Netting Lives) consisting of 308 participants or 33.44%, participant II consists of 264 consisting of 85 or 33.20%, other participant consists of 24 dominated by Reach taking over 15 times (62.25%). Furthermore, the use of circumstance in the text of Kelambu Nyawa is dominated by circumstantial environment, which were used over 51 times (26.42%). The dominant theme used in of Mosquito Nets text topical theme. It was used 146 times (48.18%). Furthermore, the ideology realized in the text of Mosquito Net is the belief of the Sufism in God as the source of everything. The relevance of this research to discourse learning at universities is to the extent that the results of this research can be used as reference to analyzing written text, especially on the transitivity and theme rhema system by using Systemic Functional Linguistics theory (SFL).
The use of gestures in multimodal input

For users with motion impairments, the standard keyboard and mouse arrangement for computer access often presents problems. Other approaches have to be adopted to overcome this. In this paper, we will describe the development of a prototype multimodal input system based on two gestural input channels. Results from extensive user trials of this system are presented. These trials showed that the physical and cognitive loads on the user can quickly become excessive and detrimental to the interaction. Designers of multimodal input systems need to be aware of this and perform regular user trials to minimize the problem.
Quarkonium wave functions at the origin.

We tabulate values of the radial Schroedinger wave function or its first nonvanishing derivative at zero quark-antiquark separation, for {ital c{bar c}}, {ital c{bar b}}, and {ital b{bar b}} levels that lie below, or just above, the flavor threshold. These quantities are essential inputs for evaluating production cross sections for quarkonium states.
Prediction of Histone Modifications in DNA sequences

DNA molecules are wrapped around histone octamers to form nucleosome structures whose occupancy and histone modification states profoundly influence the gene expression. Depending on the DNA segment that a nuleosome incorporated, its histone proteins exihibit paticular modifications by added some functional chemical groups to specific amino acids. The key approach up to now to determining the DNA locations of histone occupancy as well as histone modifications is an experimental technique called ChiP-Chip, or Chromatin Immunoprecipitation on Microarray Chip. This experimental technique has some disadvantages such as it is tedious, wastes time and money, produces noise, and cannot provide results at an arbitrarily high resolution, especially with large genomes like human's. We have developed a computational method to determine qualitatively histone-occupied as well as acetylation and methylation locations in DNA sequences. The method is based on support vector machines (SVMs) to learn models from training data sets that discriminate between areas with high and low levels of histone occupancy, acetylation or methylation. Our computational method can give quickly the prediction at any position in a DNA sequence based on the content and context of the subsequence around that position. The prediction results on the yeast genome by three-fold cross-validation showed high accuracy and were consistent with the ones from experimental methods. Moreover, SVM-classification models in our method can present genetic preferences of DNA areas that have high modification levels.
Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power

It is widely known that when there are negative moving average errors, a high order augmented autoregression is necessary for unit root tests to have good size, but that information criteria such as the AIC and BIC tend to select a truncation lag that is very small. Furthermore, size distortions increase with the number of deterministic terms in the regression. We trace these problems to the fact that information criteria omit important biases induced by a low order augmented autoregression. We consider a class of Modified Information Criteria (MIC) which account for the fact that the bias in the sum of the autoregressive coefficients is highly dependent on the lag order k. Using a local asymptotic framework in which the root of an MA(1) process is local to -1, we show that the MIC allows for added dependence between k and the number of deterministic terms in the regression. Most importantly, the k selected by the recommended MAIC is such that both its level and rate of increase with the sample size are desirable for unit root tests in the local asymptotic framework, whereas the AIC, MBIC and especially the BIC are less attractive in at least one dimension. In monte-carlo experiments, the MAIC is found to yield huge size improvements to the DF(GLS) and the feasible point optimal P(t) test developed in Elliot, Rothenberg and Stock (1996). We also extend the M tests developed in Perron and Ng (1996) to allow for GLS detrending of the data. The M(GLS) tests are shown to have power functions that lie very close to the power envelope. In addition, we recommend using GLS detrended data to estimate the required autoregressive spectral density at frequency zero. This provides more efficient estimates on the one hand, and ensures that the estimate of the spectral density is invariant to the parameters of the deterministic trend function, a property not respected by the estimation procedure currently employed by several studies. The MAIC along with GLS detrended data yield a set of Mbar(GLS) tests with desirable size and power properties.
Correctness issues in workflow management

Workflow management is a technique to integrate and automate the execution of steps that comprise a complex process, e.g., a business process. Workflow management systems (WFMSs) primarily evolved from industry to cater to the growing demand for office automation tools among businesses. Coincidentally, database researchers developed several extended transaction models to handle similar applications. Although the goals of both the communities were the same, the issues they focused on were different. The workflow community primarily focused on modelling aspects to accurately capture the data and control flow requirements between the steps that comprise a workflow, while the database community focused on correctness aspects to ensure data consistency of sub-transactions that comprise a transaction. However, we now see a confluence of some of the ideas, with additional features being gradually offered by WFMSs. This paper provides an overview of correctness in workflow management. Correctness is an important aspect of WFMSs and a proper understanding of the available concepts and techniques by WFMS developers and workflow designers will help in building workflows that are flexible enough to capture the requirements of real world applications and robust enough to provide the necessary correctness and reliability properties. We first enumerate the correctness issues that have to be considered to ensure data consistency. Then we survey techniques that have been proposed or are being used in WFMSs for ensuring correctness of workflows. These techniques emerge from the areas of workflow management, extended transaction models, multidatabases and transactional workflows. Finally, we present some open issues related to correctness of workflows in the presence of concurrency and failures.
Model-Based Object Recognition Using Geometric Invariants of Points and Lines

In this paper, we derive new geometric invariants for structured 3D points and lines from single image under projective transform, and we propose a novel model-based 3D object recognition algorithm using them. Based on the matrix representation of the transformation between space features (points and lines) and the corresponding projected image features, new geometric invariants are derived via the determinant ratio technique. First, an invariant for six points on two adjacent planes is derived, which is shown to be equivalent to Zhu's result [1], but in simpler formulation. Then, two new geometric invariants for structured lines are investigated: one for five lines on two adjacent planes and the other for six lines on four planes. By using the derived invariants, a novel 3D object recognition algorithm is developed, in which a hashing technique with thresholds and multiple invariants for a model are employed to overcome the over-invariant and false alarm problems. Simulation results on real images show that the derived invariants remain stable even in a noisy environment, and the proposed 3D object recognition algorithm is quite robust and accurate.
A time-based analog-to-digital converter using a multi-phase voltage controlled oscillator

A time-based analog-to-digital converter(ADC) employing a multi-phase voltage-controlled oscillator(VCO) is presented. The VCO is based on a ring oscillator which converts analog input voltage to phase information. Digital output is produced by a phase quantizer which consists of a counter for coarse quantization and phase detector for fine quantization. Using this technique, an 8-bit 100Msamples/s ADC is designed and simulated. Impact of jitter and VCO linearity on the ADC performance is analyzed and verified
Real-Time Dynamic Pricing for Revenue Management with Reusable Resources and Deterministic Service Time Requirements Yanzhe (

We consider the setting of a firm that sells a finite amount of resources to price-sensitive customers who arrive randomly over time according to a specified non-stationary rate. Each customer requires a service that consumes one unit of resource for a deterministic amount of time, and the resource is reusable in the sense that it can be immediately used to serve a new customer upon the completion of the previous service. The firm's objective is to set the price dynamically to maximize its expected total revenues. This is a fundamental problem faced by many firms in many industries. We formulate this as an optimal stochastic control problem and develop two heuristic controls based on the solution of the deterministic relaxation of the original stochastic problem. The first heuristic control is static since the corresponding price sequence is determined before the selling horizon starts; the second heuristic control is dynamic, it uses the first heuristic control as its baseline control and adaptively adjusts the price based on previous demand realizations. We show that both heuristic controls are asymptotically optimal in the regime with large demand and large number of resources. Finally, we consider two important generalizations of the basic model to the setting with multiple service types requiring different service times and the setting with advance service bookings.
Integration of digital structured documents in virtual manufacturing organizations

The present manufacturing sectors are burdened with increasing the speed of transitioning new global business developments into production processes. This forces the old approaches of information management to adopt better evolution capabilities. Although the concept of virtual manufacturing is to facilitate integration of production processes in global industrial organizations, its information management has not yet achieved the expectations and promises. The main issue is the chaos in digital documents and software platforms. Our research is to develop a framework for overcoming problems created by the lack of standardization of digital documents and software platforms in manufacturing. The paper focuses on the integration at the document level of virtual manufacturing organizations. Our contribution lies in connecting two interdependent domains, manufacturing and information management, rapidly converging through virtual manufacturing organizations.
Correlation of Disgust and Contempt Expressions with Conjugal Dissatisfaction

Research has shown that dissatisfied couples in the relationship commonly exhibit facial expressions of contempt in interactions. At this point, based on the study of cognition and physiology, researchers were able to predict by longitudinal studies the probability of divorce in a marriage, with accuracy of up to 94%. Our objective was to investigate whether the occurrence of facial expressions of disgust and contempt in married women is associated with marital dissatisfaction. This is an experimental study that correlated, through filmed interviews, the frequency of facial expressions of disgust and disgust (Facial Action Coding System) to the Marital State’s Golombok Rust Inventory, in a sample composed of 20 women. Data analysis based on the Spearman Correlation Test showed a positive correlation between facial expressions of disgust and disdain and conjugal dissatisfaction (rs = 0.2198, p = 0.0280), corroborating the data in the literature.