Miracle-dz/UniFAR-FTUs huggingface dataset:
An efficient approach to enhance capacity allocation over Bluetooth network

With the current development of mobile devices, short range wireless communications have become more and more popular, and research on short range wireless communications, such as Bluetooth, has gained increasing interest, in industry as well as in academy. This paper analyzes capacity allocation issues in Bluetooth network as convex optimization problem. We formulate the problem of maximizing of total network flows and minimizing the costs of flows. The hybrid distributed capacity allocation scheme HDICA is proposed as an approximated solution of the stated optimization problem that satisfies quality of service requirements and topologically induced constraints in the Bluetooth network, such as node and link capacity limitations. The proposed scheme is decentralized and complies with frequent changes of topology as well as capacity limitations and flow requirements in the network. Simulation shows that the performance of Bluetooth network could be improved by applying the hybrid distributed iterative capacity allocation scheme.
A reconfigurable heterogeneous multicore architecture for DDoS protection

This paper proposes a reconfigurable heterogeneous multicore architecture to integrate multiple DDoS defense mechanisms for DDoS protection. The architecture allows multiple cooperating DDoS mitigation techniques to classify incoming network packets. The proposed architecture consists of two separated partitions: static and dynamic. The static partition includes packet pre-processing and post-processing modules while the DDoS filtering techniques are implemented on the dynamic partition. These filtering techniques can be implemented by either hardware custom computing cores or general purpose soft processors or both. In all cases, these DDoS filtering computing cores can be updated or changed at runtime or design time. We implement our first prototype system with Hop-count filtering and Ingress/Engress filtering techniques using Xilinx Virtex 5xc5vtx240t FPGA device. The synthesis results show that the system can work at up to 116.782MHz while utilizing about 41% LUTs, 47% Registers, and 53% Block Memory of the available hardware resources. The system achieves the detection rate of 100% with the false negative rate at 0% and false positive rate closed to 0.74%. The prototype system achieves packet decoding throughput at 9.869 Gbps in half-duplex mode and 19.738 Gbps in full-duplex mode.
Modified LMS algorithm for unbiased impulse response estimation in nonstationary noise

In the presence of input interference, the Wiener solution for impulse response estimation is biased. It is proved that bias removal can be achieved by proper scaling of the optimal filter coefficients and a modified least mean squares (LMS) algorithm is then developed for accurate system identification in noise. Simulation results show that the proposed method outperforms two total least squares (TLS) based adaptive algorithms under nonstationary interference conditions.
Real-life experiences with an adaptive light bracelet

In the last years, wearable devices have been an emerging trend on the market. Today, several wearable devices present information through light spots, especially those used for self-tracking. In this work we present a field evaluation of an adaptive light bracelet that serves as a reminder of fluid intake. We investigated how users and observers experience the bracelet under real-world conditions in comparison to a non-adaptive bracelet. Context awareness is implemented in that the LED's brightness changes according to an ongoing event. In a 16-participant 2-weeks experiment we found participants and observers experienced the adaptive bracelet more positively. Further, we found observers experienced the adaptive bracelet significantly more attractively and could identify significantly better with it. Our results will inspire designers and developers of wearable light displays.
Myoelectric signal segmentation and classification using wavelets based neural networks

In this paper a method for Myoelectric signal (MES) segmentation and classification is proposed. The classical moving average technique augmented with Principal Components Analysis (PCA), and time-frequency analysis were used for segmentation. Multiresolution Wavelet Analysis (MRWA) was adopted as an effective feature extraction technique while Artificial Neural Networks (ANN) was used for MES classification. Results of classifying four elbow and wrist movements gave 94.9% sensitivity and 94.9% positive predictivity.
Design and Demonstration of Power Delivery Networks With Effective Resonance Suppression in Double-Sided 3-D Glass Interposer Packages

Ultrathin 3-D glass interposers with throughpackage vias at the same pitch as through-silicon vias (TSVs) have been proposed as a simpler and cheaper alternative to the direct 3-D stacking of logic and memory devices. Such 3-D interposers provide wide-I/O channels for high signal bandwidth (BW) between the logic device on one side of the interposer and memory stack on the other side, without the use of complex TSVs in the logic die. However, this configuration introduces power delivery design challenges due to resonance from: 1) the low-loss property of the glass substrate and 2) the parasitic inductance due to additional length from lateral power delivery path. This paper presents for the first time, the design and demonstration of power delivery networks (PDNs) in 30-μm thin, 3-D double-sided glass interposers, by suppressing the noise from mode resonances. The self-impedance of the 3-D glass interposer PDN was simulated using electromagnetic solvers, including printed-wiring-board and chip-level models. The 3-D PDN was compared with that of the 2-D glass packages having fully populated ball grid array connections. The resonance mechanism for each configuration was studied in detail, and the corresponding PDN loop inductances were evaluated. High impedance peaks in addition to the 2-D PDN were observed at high frequencies (near 7.3 GHz) in the 3-D interposer structure due to the increased inductances from lateral power delivery. This paper proposes and evaluates three important resonance suppression techniques based on: 1) 3-D interposer die configuration; 2) the selection and placement of decoupling capacitors; and 3) 3-D interposer package power and ground stack-up. Two-metal and four-metal layer test vehicles were fabricated on 30and 100-μm thick panel-based glass substrates, respectively, to validate the modeling and analysis of the proposed approach. The PDN test structures were characterized up to 20 GHz for plane resonances and network impedances, with good model-to-hardware correlation. The results in this paper suggest that the ultrathin 3-D interposer PDN structure can be effectively designed to meet the target impedance guidelines for high-BW applications, providing a compelling alternative to 3-D-IC stacking with the TSVs.
Optimizing land use classification using decision tree approaches

Supervised classification is one of the important tasks in remote sensing image interpretation, in which the image pixels are classified to various predefined land use/land cover classes based on the spectral reflectance values in different bands. In reality some classes may have very close spectral reflectance values that overlap in feature space. This produces spectral confusion among the classes and results in inaccurate classified images. To remove such spectral confusion one requires extra spectral and spatial knowledge. This report presents a decision tree classifier approach to extract knowledge from spatial data in form of classification rules using Gini Index and Shannon Entropy (Shannon and Weaver, 1949) to evaluate splits. This report also features calculation of optimal dataset size required for rule generation, in order to avoid redundant Input/output and processing.
Evaluation of a Semantically Oriented Dependency Grammar for Italian at EVALITA 2009

This paper describes CELI's participation to the EVALITA 2009 dependency evaluation task, which was based on a symbolic dependency grammar for Italian. The discussion on the results achieved by such a grammar emphasizes the fact that they are obtained by linearizing the CoNLL input and parsing it from scratch, thus generating extra errors due to lexicon look-up and POS tagging. In the final section we provide some explanation of the fact that the scores obtained in the pilot subtask were lower than the ones for the main subtask. Overall, however, the results of the participation prove that a rule approach is viable and sustainable for real life applications.
Peter May ( Chicago , I ) An Appreciation of the Work of Samuel Eilenberg

I  I   Sammy beer.1 I remember him best from a conference at Kazimierz, Poland, in . He was in fine form, but my impression was that he was in Poland then more for the memories than for the mathematics. Sammy grew up and reached mathematical maturity in Poland. He arrived in the United States on April , , when he was  years old, escaping World War II. His parents, who were Jewish, stayed in Warsaw, and he exchanged leers with them until they were taken to a death camp by the Nazi occupiers of Warsaw. It is hard for the young, and in this context I include myself,2 to even imagine what things were like when Sammy pulled up his roots. Already in Poland, Sammy was a well established mathematician. ere is a complete Bibliography of his work through  in [50]3, and I was surprised to find that he had wrien  papers before leaving Poland.4 Due to lack of time and energy, I have not aempted to read them at all carefully, so my appreciation of Sammy’s work will begin with his publications aer his arrival in the United States.5 e last talk that Sammy gave in pre-war Poland was on the ideas of obstruction theory. He published a preliminary version of this in [7] and then updated it as the first paper he published aer arriving in the U.S. ([8]).
Diagnosis of human toxocariasis by antigen capture enzyme linked immunosorbent assay.

AIMS--To evaluate an antigen capture enzyme linked immunosorbent assay (ELISA) which detects a carbohydrate epitope on the excretory-secretory (ES) antigens of Toxocara canis in clinical practice. METHODS--Serum specimens from healthy adults, patients with acute visceral larva migrans, ocular and inactive toxocariasis, and with other helminth infections were examined by two site antigen capture ELISA. RESULTS--Over half of the patients (19/28) with acute toxocariasis had a positive result in contrast to a small proportion of those with inactive disease (1/10) or ocular infection (2/7). False positive reactions, however, were found in 25% of the patients with serologically confirmed schistosomiasis and filariasis. CONCLUSIONS--This assay is useful in confirming the diagnosis of acute visceral larva migrans but could not be used alone in diagnosis because of false positive reactions in patients with other helminth infections.
Journal of Visual Languages & Computing Visual Zero: a Persistent and Interactive Object-oriented Programming Environment

In this article, an ongoing research project held in the Computer Science department of the University of Vigo is described. Its main objective is to develop an interactive object-oriented environment, serving as a vehicle for learning object-oriented programming. It currently consists of a virtual machine, an assembler, compilers for two high-level programming languages, and an educational visual programming environment. Its main characteristics are (a) the support of prototype-based object orientation, which is a model of object orientation that actually wraps the class-based model; (b) the support for object persistence, which simplifies all input/output issues to the minimum, and (c) the availability of a new visual programming environment is an invaluable help. We the authors think that the combination of all of these possibilities, will lead to an interesting, useful tool that would be recommended for object-oriented teaching. The whole system has been successfully employed in a number of different courses, allowing students to concentrate on objects and their relationships from the very beginning, and thus helping them to achieve a high degree of knowledge about the object-oriented programming paradigm.
Judicial accountability and economic policy outcomes: evidence from employment discrimination charges

How and whether judges should be held accountable is a key issue in the design of a legal system. Thirty-seven of the forty-eight continental states use some method of judicial selection which involves a direct role for citizens in selecting or re-appointing the judiciary. We identify two theoretical reasons why the method used for choosing judges is important (i) a selection effect if the competence or underlying preferences of judges is affected, (ii) an incentive effect if the judges who are chosen behave differently because of the method used for their reappointment. This paper uses data from the U.S. to investigate whether judicial selection methods affect the number of employment discrimination charges filed for the period 1973- 2000. Our results show that states that appoint their judges have lower levels of discrimination charges compared to those that use some form of election. The results appear to be driven by states where judges being subject to re-election incentives rather than because judges with different preferences/competences are being chosen.
Overview of Recent Work in Pen-Centric Computing

A major portion of pen-centric research has revolved around the goal of enabling natural human-computer interaction. We believe progress in two areas is critical to achieving the goal of natural sketch-based interfaces. First, we need to improve over the existing recognition algorithms in terms of efficiency and recognition accuracy. Our work in recognizing sketches using temporal patterns that naturally appear in online sketching contributes toward addressing these algorithmic issues. The second issue that requires further exploration is the construction and evaluation of penbased applications that can readily be adopted by the target user groups and immediately integrated into their workflow in the near future. Sketch interpretation component of these applications should be robust enough to allow the deployment of these systems in real usage settings. Toward this end, we have focused on the construction and evaluation of pen-based interfaces for two simple domains: shortest path graphs and probabilistic network diagrams. Below, we describe our recent work on recognition algorithms and readily adoptable pen-based tools. We also point out demonstrations that we would like to share with the workshop participants.
The Informal Sector: A Review and Agenda for Management Research

Despite its connotations of non-compliance, illegality, social exploitation and marginality, the informal sector is a substantial contributor to economic life in developing countries and, increasingly, in more technologically advanced activities. Its prevalence in developed economies has also become more widely recognized. In light of its significance, this paper reviews research on the informal sector from a management and organization scholarship perspective, rather than from an entrepreneurship view, as has been the focus until now. It sets out the atypical management practices that are inherent in the sector, explores the under-researched relationship between formal and informal firms, and highlights definitional, conceptual and other limitations in extant research. As a step in resolving these issues, the authors present a conceptual model of formality and informality in a three-dimensional framework that highlights an organizational infrastructure dimension, a view of firms operating along a continuum, and a multi-level analytical context. Building on this, the authors detail opportunities for enhanced appreciation of in situ management and organizational practices in the informal sector and outline tools for pursuing a management and organization scholarship agenda. Overall, the authors argue that management scholarship has great potential to improve understanding of the informal sector, and that the informal sector provides opportunities to advance management theory, research and practice.
(Un)becoming dysfunctional: ADHD and how matter comes to matter

ABSTRACT Various neuropsychiatric disorders are a common feature today, not least in educational contexts where Attention Deficit Hyperactivity Disorder (ADHD) is a common diagnosis. The dominant perspective regarding ADHD is biomedical. This perspective has been questioned and challenged in various ways. The aim of this article is to think ADHD through quantum physicist and philosopher Karen Barad’s [Barad, K. 2007. Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning. Durham, NC: Duke University Press. ] theory of agential realism. According to Barad, what we perceive as singular entities do not exist in advance. Barad pays attention to the world’s entanglements, and what we perceive as singular objects and subjects are effects of specific and various material-discursive practices acting as agential cuts. The theory of agential realism assigns performativity to matter, which highlights that ADHD is something that continuously comes into being together with human and non-human bodies. The material dimension has not previously been emphasised as a causal factor in studies on ADHD. In this article, the focus is on the agency of the book. As a conclusion, the importance of taking responsibility for every material-discursive practice with which we are always entangled is emphasised.
Rubber friction and tire dynamics

We propose a simple rubber friction law, which can be used, for example, in models of tire (and vehicle) dynamics. The friction law is tested by comparing numerical results to the full rubber friction theory (Persson 2006 J. Phys.: Condens. Matter 18 7789). Good agreement is found between the two theories. We describe a two-dimensional (2D) tire model which combines the rubber friction model with a simple mass–spring description of the tire body. The tire model is very flexible and can be used to accurately calculate μ-slip curves (and the self-aligning torque) for braking and cornering or combined motion (e.g. braking during cornering). We present numerical results which illustrate the theory. Simulations of anti-blocking system (ABS) braking are performed using two simple control algorithms.
The Role of Bdnf in 17β-Estradiol-Induced Facilitation of Extinction of Cocaine Seeking

ii TABLE OF CONTENTS . iv LIST OF FIGURES . vii LIST OF TABLES . viii ACKNOWLEDGEMENTS . ix INTRODUCTION.1 Sex differences in addiction . 1 Extinction of drug seeking . 3 Effects of 17β-estradiol (E2) on learning memory . 5 Effects of E2 on hippocampal memory . 6 Effects of E2 on extinction memory.8 Effects of E2 on intrinsic excitability.11 Mechanisms underlying the role of E2 in learning and memory . 12 Interactions between E2 and BDNF.13 Clinical relevance . 16 AIMS.17 Aim 1 . 17 Aim 2 . 17 METHODS.19 Subjects and Surgery . 19 Drugs.20 Conditioned place preference.20
The Role of Soy in Vegetarian Diets

Soyfoods have long been prized among vegetarians for both their high protein content and versatility. Soybeans differ markedly in macronutrient content from other legumes, being much higher in fat and protein, and lower in carbohydrate. In recent years however, soyfoods and specific soybean constituents, especially isoflavones, have been the subject of an impressive amount of research. Nearly 2,000 soy-related papers are published annually. This research has focused primarily on the benefits that soyfoods may provide independent of their nutrient content. There is particular interest in the role that soyfoods have in reducing risk of heart disease, osteoporosis and certain forms of cancer. However, the estrogen-like effects of isoflavones observed in animal studies have also raised concerns about potential harmful effects of soyfood consumption. This review addresses questions related to soy and chronic disease risk, provides recommendations for optimal intakes, and discusses potential contraindications. As reviewed, the evidence indicates that, with the exception of those individuals allergic to soy protein, soyfoods can play a beneficial role in the diets of vegetarians. Concerns about adverse effects are not supported by the clinical or epidemiologic literature. Based on the soy intake associated with health benefits in the epidemiologic studies and the benefits noted in clinical trials, optimal adult soy intake would appear to be between two and four servings per day.
A new spatial decomposition scheme for image content-based watermarking

Image watermarking has today a growing success in the community of image processing. Many methods were already proposed making it possible to obtain increasingly more powerful algorithms. So, most of insertion schemes in the spatial domain are based on the decomposition of the image to blocs, with similar sizes, in order to insert a sequence of information bits.
Experiences and Expectations for Glioma Immunotherapeutic Approaches

Malignant gliomas are the most prevalent type of primary central nervous system (CNS) tumor in adults. Despite progress in brain tumor therapy, the prognosis for malignant glioma patients remains dismal. Standard treatment with temozolomide and radiotherapy for patients with newly diagnosed glioblastoma has increased the median overall survival (OS) by 15–20 months (1), but tumor recurrence is inevitable. Salvage treatments upon recurrence are palliative at best and rarely provide significant survival benefit. Among the new treatments currently being investigated for malignant glioma, immunotherapy is theoretically attractive, because it offers the potential for high tumor-specific cytotoxicity (2). Although recent clinical trials of immunotherapy protocols for malignant gliomas focused on initiating and amplifying a host response with some clinical success, most of them failed to induce objective tumor shrinkage in patients (2). Antitumor activities of tumor cytotoxic T cells (CTL) and antibodies induced by these therapies are insufficient to overcome tumor growth because tumors have immune evasion mechanisms instigated by myeloid derived suppressor cells (MDSCs) and regulatory T cells (Treg) (3). In this paper, we will review past experiences and discuss the promising future of immunotherapeutic approach for glioma treatment.
Collective decision-making in microbes

Microbes are intensely social organisms that routinely cooperate and coordinate their activities to express elaborate population level phenotypes. Such coordination requires a process of collective decision-making, in which individuals detect and collate information not only from their physical environment, but also from their social environment, in order to arrive at an appropriately calibrated response. Here, we present a conceptual overview of collective decision-making as it applies to all group-living organisms; we introduce key concepts and principles developed in the context of animal and human group decisions; and we discuss, with appropriate examples, the applicability of each of these concepts in microbial contexts. In particular, we discuss the roles of information pooling, control skew, speed vs. accuracy trade-offs, local feedbacks, quorum thresholds, conflicts of interest, and the reliability of social information. We conclude that collective decision-making in microbes shares many features with collective decision-making in higher taxa, and we call for greater integration between this fledgling field and other allied areas of research, including in the humanities and the physical sciences.