Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Micromachined Dielectric and Metallic Waveguides for THz applications

The paper considers micromachined dielectric and metallic waveguides for THz applications. Analytical analysis and simulation of losses for ideal structures are provided. Effect of fabrication nonidealities, such as surface roughness is also considered. In dielectric waveguide, the dielectric losses are the main loss mechanism, and Silicon tan8 is low above 1 THz, but increases rapidly at lower frequencies. The loss in metallic waveguides increases with increasing frequency. For ideal structures, the Silicon dielectric slot waveguide shows lower loss over 1.2 THz than the metallic waveguide. The effect of rough metal surface in the metallic waveguide increases the loss, making the dielectric waveguide interesting at even lower frequencies.
Les dialectes dans les médias : quelle image de l'Alsace véhiculent-ils dans les émissions de la télévision régionale ?

Ce travail de these est consacre a l’etude des programmes televisuels diffuses sur la chaine de television publique France 3 Alsace, de 1966 a 2008. Quel est le sens social, voire identitaire, de la presence de telles emissions, alors que la grande majorite des telespectateurs potentiels comprend au moins une langue standard ? En quoi ces emissions sont-elles un reflet du plurilinguisme regional ? Quelle image de l’Alsace vehiculent-elles, notamment par le biais de la langue ? L’etude s’appuie sur un corpus de plus de 2000 emissions mis a notre disposition par l’Institut Nationale de l’Audiovisuel (INA), dont nous presentons le contenu en retracant l’histoire de la television regionale. Apres avoir elabore un cadre theorique a la croisee de disciplines tant linguistiques (dialectologie, sociolinguistique) que sociologique (sociologie des medias, sciences de l’information et de la communication), nous presentons la demarche methodologique employee pour l’exploitation de notre corpus. A l’issue de cette etape, nous retenons sept emissions, transcrites et analysees sur les plans formels et linguistiques, de maniere a obtenir des elements de reponse a nos questions de recherche.
Model Investigation and Realization of Web-based Application about GDPR

The aim of this paper is to present the process of designing a web-based application to help understand and implement the new data protection regulation. Preliminary formalization of the designed product was carried out and a model investigation by using the Petri nets apparatus was made. The architecture and program realization of the application are discussed.
EER Calculation and DET Approximation in a Multi-Threshold Biometric System

Identity security in Health Information Systems is a major concern in order to guarantee patients confidentiality. Biometrics has been used in order to improve traditional identity authentication. In this work, we present a method to get the Detection Error Trade-off—DET—graph when two or more thresholds are involved in a biometric system. Consequently, we also provide a method to calculate the Equal Error Rate—EER—in a multi-threshold system. In general, we can calculate the EER visually through the DET graph or with a formula. However, the formula is applicable only with normal distributed data. Biometric data distribution is usually not normal; therefore, we cannot always use the formula to calculate the EER. We will be able to use this method in a biometric system with any type of data distribution and with any number of thresholds. The obtained results show that the difference of EER calculated with our method and the one calculated with the formula have a standard deviation of 0.62%. These findings will contribute in the medicine field to better ensure the health information privacy of the patient.
A Ku-band Phased Array in Package Integrating Four 180 nm CMOS Transceivers with On-chip Antennas

This paper presents a phased array, which is composed of four independent transceivers integrated with on-chip antennas. Every transceiver with an on-chip antenna is fabricated in a standard 180 nm CMOS process. To achieve a higher gain and sidelobe suppression level, an off-chip guard ring array is used. Considering the fabrication error, the influence of the length of bonding wire is studied. At 17 GHz, the phased array scanning region is $\pm \mathbf{28}^{\pmb{\circ}}$ with a 10 dB sidelobe suppression level, and $\pm \mathbf{32}^{\pmb{\circ}}$ with an 8.8 dB sidelobe suppression level. Meanwhile, the peak equivalent isotropic radiated power (EIRP) is 14 dBm. Every single transceiver with an on-chip antenna occupies 6.2xl. 3 mm2, Besides, each receiver channel (RX) draws 114 mA from a 1.8V supply, while a transmitter channel (TX) consumes 145 mA from a 3.3V supply.
Laser Assisted Additive Manufacturing of CPW mm-Wave Interdigital Capacitors

A new fabrication approach for passive lumped interdigital capacitors is demonstrated for integration in microwave and mm-wave systems. Laser machining is combined with fused deposition modeling and micro-dispensing in order to enhance the performance of additively manufactured (AM) passive devices. Capacitances up to 0.3 pF and 0.5 pF are achieved at 5 GHz and 30 GHz, respectively. Measured and simulated data from different devices show maximum Q-factors and self-resonant frequencies of 750 and 120 GHz, respectively, representing a significant improvement when compared with previously demonstrated AM passive elements.
Clinical Features and Computed Tomography Findings Are Utilized to Characterize Retrobulbar Disease in Dogs

The objective of this study is to describe the clinical features and computed tomography (CT) findings of dogs with retrobulbar disease. There are two facets to this study: a retrospective case series in which findings of dogs with primary vs. secondary retrobulbar disease are described, and a retrospective cross-sectional study in which computed tomography findings of dogs with retrobulbar neoplasia vs. infection/inflammation are described and compared. The medical records of 66 client-owned dogs diagnosed with retrobulbar disease between 2006 and 2016 were reviewed. Clinical information including signalment, the specialty service to which the dog was presented, clinical signs, physical examination findings, diagnostic results, treatment, and outcome were documented. Diagnostic imaging and histopathology were reviewed. Forty-one dogs (62.1%) were diagnosed with primary disease of the retrobulbar space; 25 dogs (37.9%) were considered to have secondary retrobulbar disease. Of the 41 dogs with primary retrobulbar disease, 19 were diagnosed with neoplasia, 19 with infectious/inflammatory disease, and 3 suffered traumatic insult to the retrobulbar space. Of the 25 dogs with secondary retrobulbar disease, 21 were diagnosed with neoplasia, 3 with infectious/inflammatory disease, and 1 with a cyst. Dogs had a combination of ocular, oral, and/or nasal clinical signs. CT findings of orbital osteolysis, orbital periosteal reaction, and presence of a retrobulbar mass were significantly associated with neoplasia, while zygomatic salivary gland enlargement, retrobulbar mass effect, and mandibular lymphadenopathy were more often associated with infectious/inflammatory disease. CT findings overlap among different retrobulbar diseases, but new bone formation and lysis are more often associated with neoplasia. Disease originating from the retrobulbar space was equally likely to be infectious/inflammatory (n = 19) or neoplastic (n = 19), based on definitive diagnostic results of dogs with primary retrobulbar disease. Due to the clinical ramifications of these disorders, the diagnosis and treatment of these cases should be managed with a multi-specialty approach.
A 700–950 MHz Tunable Frequency Division Duplex Transceiver Combining Passive and Active Self-interference Cancellation

This paper presents a novel tunable FDD transceiver architecture which uses an electrical balance duplexer (EBD) to isolate Tx noise in the Rx band, and combines this with active self-interference cancellation to suppress the Tx blocker. This overcomes the limited isolation bandwidth of EBDs, shifting complexity from the RF domain to the digital baseband domain in order to provide isolation in both bands. A discrete hardware prototype has shown promising results and demonstrated the viability of this architecture, achieving 6.0-7.4 dB antenna referred noise figure in a 20 MHz downlink bandwidth, in the presence of a +27 dBm Tx blocker, across a range of duplex configurations in the 700–950 MHz range.
An Efficient ECG Lossless Compression System for Embedded Platforms With Telemedicine Applications

This paper presents a method for wireless ECG compression and zero lossless decompression using a combination of three different techniques in order to increase storage space while reducing transmission time. The first technique used in the proposed algorithm is an adaptive linear prediction; it achieves high sensitivity and positive prediction. The second technique is content-adaptive Golomb–Rice coding, used with a window size to encode the residual of prediction error. The third technique is the use of a suitable packing format; this enables the real-time decoding process. The proposed algorithm is evaluated and verified using over 48 recordings from the MIT-BIH arrhythmia database, and it shown to be able to achieve a lossless bit compression rate of <inline-formula> <tex-math notation="LaTeX">$2.83{\times}$ </tex-math></inline-formula> in Lead V1 and <inline-formula> <tex-math notation="LaTeX">$2.77{\times}$ </tex-math></inline-formula> in Lead V2. The proposed algorithm shows better performance results in comparison to previous lossless ECG compression studies in real time; it can be used in data transmission methods for superior biomedical signals for bounded bandwidth across e-health devices. The overall compression system is also built with an ARM M4 processor, which ensures high accuracy performance and consistent results in the timing operation of the system.
Treatment of Aspergillosis

Infections caused by Aspergillus spp. remain associated with high morbidity and mortality. While mold-active antifungal prophylaxis has led to a decrease of occurrence of invasive aspergillosis (IA) in those patients most at risk for infection, breakthrough IA does occur and remains difficult to diagnose due to low sensitivities of mycological tests for IA. IA is also increasingly observed in other non-neutropenic patient groups, where clinical presentation is atypical and diagnosis remains challenging. Early and targeted systemic antifungal treatment remains the most important predictive factor for a successful outcome in immunocompromised individuals. Recent guidelines recommend voriconazole and/or isavuconazole for the primary treatment of IA, with liposomal amphotericin B being the first alternative, and posaconazole, as well as echinocandins, primarily recommended for salvage treatment. Few studies have evaluated treatment options for chronic pulmonary aspergillosis (CPA), where long-term oral itraconazole or voriconazole remain the treatment of choice.
Inception: System-Wide Security Testing of Real-World Embedded Systems Software

Connected embedded systems are becoming widely deployed, and their security is a serious concern. Current techniques for security testing of embedded software rely either on source code or on binaries. Detecting vulnerabilities by testing binary code is harder, because source code semantics are lost. Unfortunately, in embedded systems, high-level source code (C/C++) is often mixed with hand-written assembly, which cannot be directly handled by current source-based tools. In this paper we introduce Inception, a framework to perform security testing of complete real-world embedded firmware. Inception introduces novel techniques for symbolic execution in embedded systems. In particular, Inception Translator generates and merges LLVM bitcode from high-level source code, hand-written assembly, binary libraries, and part of the processor hardware behavior. This design reduces differences with real execution as well as the manual effort. The source code semantics are preserved, improving the effectiveness of security checks. Inception Symbolic Virtual Machine, based on KLEE, performs symbolic execution, using several strategies to handle different levels of memory abstractions, interaction with peripherals, and interrupts. Finally, the Inception Debugger is a high-performance JTAG debugger which performs redirection of memory accesses to the real hardware. We first validate our implementation using 53000 tests comparing Inception's execution to concrete execution on an Arm Cortex-M3 chip. We then show Inception's advantages on a benchmark made of 1624 synthetic vulnerable programs, four real-world open source and industrial applications, and 19 demos. We discovered eight crashes and two previously unknown vulnerabilities, demonstrating the effectiveness of Inception as a tool to assist embedded device firmware testing.
Downlink Interference Rejection in Ultra Dense Network

Ultra dense network (UDN) is identified as one key technology for 5G because of frequency reuse. Considering of handover and interference of edge users, we adopt user-centric transmission method. We focuses on the downlink transmission in UDN with multiple users and base station (BS) random distributed in a specific area. Virtual cells (VCs) are merged based on interference strength to form a virtual cell cluster (VCC) in order to suppress and eliminate the interference. We use ZF, improved ZF and ZF-BD and MMSE pre-coding method to eliminate the interference. The simulation results show that VCs merged method based on interference strength can greatly reduce BER with the deployment of the BS. The MMSE pre-coding is better than another schemes.
Energy Efficiency of Server-Centric PON Data Center Architecture for Fog Computing

In this paper, we utilize Mixed Integer Linear Programming (MILP) models to compare the energy efficiency and performance of a server-centric Passive Optical Networks (PON)-based data centers design with different data centers networking topologies for the use in fog computing. For representative MapReduce workloads, completion time results indicate that the server-centric PON-based design achieves 67% reduction in the energy consumption compared to DCell with equivalent performance.
Identification of pathway‐based recurrence‐associated signatures in optimally debulked patients with serous ovarian cancer

Serous ovarian cancer (SOC) is the most common form of the histological subtype of epithelial ovarian cancer, with the worst clinical outcome. Despite improvements in surgery and chemotherapy, most patients with SOC experience recurrence within 12‐18 months of first‐line treatment. Current studies are unable to robustly predict the recurrence of SOC, and more accurate predictive models are urgently required. We have, therefore, developed a novel pathway‐structured model to predict the recurrence of SOC. We trained the model on a set of 333 patients and validated it in 3 diversified validation datasets of 403 patients. Genes significantly associated with recurrence within each pathway were identified using a Cox proportional hazards model based on LASSO estimation in the training dataset. Next, a pathway‐structured scoring matrix was obtained after computation of the prognostic score for each pathway by fitting to the Cox proportional hazards model. With the pathway‐structure scoring matrix as an input, the pathway‐based recurrent signatures were identified using the Cox proportional hazards model based on LASSO estimation and the significant pathway‐based signatures were externally validated in 3 independent datasets. Meanwhile, our pathway‐structured model was compared with a commonly used gene‐based model. Our results revealed that our 12 pathway‐based signatures successfully predicted the recurrence of SOC with high accuracy in the training dataset and in the 3 validation datasets. Moreover, our pathway‐structured model was superior to the gene‐based model in 4 datasets. The pathways selected in our study will provide new insights into the pathogenesis and clinical treatments of SOC.
Mobile Robot Regulation with Position Based Visual Servoing

In this work, a Position Based Visual Servo (PBVS) control system is designed and developed for a differential drive mobile robot to regulate its pose. The target object is a Quick Response code where its model is known to the PBVS system beforehand. The kinematics model of the mobile robot is presented along with the formulation of the Lyapunov’s proportional control scheme. The control system is implemented in a physical platform known as the Husky A200 developed by Clearpath Robotics. Two tests are conducted to study the performance of the control system with and without steering. Results and analysis from physical experiments are included along with future work recommendations.
Graph Operator Modeling over Large Graph Datasets

As graph representations of data emerge in multiple domains, data analysts need to be able to intelligently select among a magnitude of different data graphs based on the effects different graph operators have on them. Exhaustive execution of an operator over the bulk of available data sources is impractical due to the massive resources it requires. Additionally, the same process would have to be re-implemented whenever a different operator is considered. To address this challenge, this work proposes an efficient graph operator modeling methodology. Our novel approach focuses on the inputs themselves, utilizing graph similarity to infer knowledge about input graphs. The modeled operator is only executed for a small subset of the available graphs and its behavior is approximated for the rest of the graphs using machine learning techniques. Our method is operator-agnostic, as the same similarity information can be reused for modeling multiple graph operators. We also propose a family of similarity measures based on the degree distribution that prove capable of producing high quality estimations, comparable or even surpassing other much more costly, state-of-the-art similarity measures. Our evaluation over both real-world and synthetic graphs indicates that our method achieves extremely accurate modeling of many commonly encountered operators, managing massive speedups over a brute-force alternative.
A Scalable Dual-Polarized 256-Element Ku-Band Phased-Array SATCOM Receiver with ±70° Beam Scanning

This paper presents a scalable 256-element Ku-band dual-polarized phased-Array SATCOM receiver. The array elements are spaced $\pmb{\lambda/2}$ apart at 12.25 GHz in the x and y directions. This phased array uses 64 silicon quad-core receive chips with 8 channels to feed a dual-polarized 2×2 quad antennas. Those silicon core-chip are QFN packaged and soldered directly on a 12-layer low-cost printed circuit board with integrated stacked patch antennas and Wilkinson combiners. The measured patterns of the 256-element phased-array show near-ideal patterns with a scan range of $\pmb{\pm 70^{\circ}}$ in E- and H-planes and low sidelobes. This array has a 3-dB instantaneous scanning bandwidth of 10.6-12.5 GHz. The design achieves a low cross polarization $\pmb{ < -27\mathrm{dB}}$ over a wide scan range of $\pmb{\pm 70^{\circ}}$ and it is scalable to allow large-scale phased-arrays construction of 1024 elements or larger. To our knowledge, this represents state-of-the art in Ku-band receive phased-arrays in terms of integration level. The array compact size of (19.7 cm x 22 cm) makes it suitable for a low-cost mobile Ku-band SATCOM terminal.
De novo oviduct transcriptome of the moor frog Rana arvalis: a quest for maternal effect candidate genes

Maternal effects can substantially affect ecological and evolutionary processes in natural populations. However, as they often are environmentally induced, establishing their genetic basis is challenging. One important, but largely neglected, source of maternal effects are egg coats (i.e., the maternally derived extracellular matrix that surrounds the embryo). In the moor frog, the gelatinous egg coats (i.e., egg jelly) are produced in the mother’s oviduct and consist primarily of highly glycosylated mucin type O-glycans. These O-glycans affect jelly water balance and, subsequently, contribute to adaptive divergence in embryonic acid tolerance. To identify candidate genes for maternal effects, we conducted RNAseq transcriptomics on oviduct samples from seven R. arvalis females, representing the full range of within and among population variation in embryonic acid stress tolerance across our study populations. De novo sequencing of these oviduct transcriptomes detected 124,071 unigenes and functional annotation analyses identified a total of 57,839 unigenes, of which several identified genes likely code for variation in egg jelly coats. These belonged to two main groups: mucin type core protein genes and five different types of glycosylation genes. We further predict 26,711 gene-linked microsatellite (simple sequence repeats) and 231,274 single nucleotide polymorphisms. Our study provides the first set of genomic resources for R. arvalis, an emerging model system for the study of ecology and evolution in natural populations, and gives insight into the genetic architecture of egg coat mediated maternal effects.
Cryogenic MOS Transistor Model

This paper presents a physics-based analytical model for the MOS transistor operating continuously from room temperature down to liquid-helium temperature (4.2 K) from depletion to strong inversion and in the linear and saturation regimes. The model is developed relying on the 1-D Poisson equation and the drift-diffusion transport mechanism. The validity of the Maxwell–Boltzmann approximation is demonstrated in the limit to 0 K as a result of dopant freezeout in cryogenic equilibrium. Explicit MOS transistor expressions are then derived, including incomplete dopant ionization, bandgap widening, mobility reduction, and interface charge traps. The temperature dependence of the interface trapping process explains the discrepancy between the measured value of the subthreshold swing and the thermal limit at deep-cryogenic temperatures. The accuracy of the developed model is validated by experimental results on long devices of a commercial 28-nm bulk CMOS process. The proposed model provides the core expressions for the development of physically accurate compact models dedicated to low-temperature CMOS circuit simulation.
A +27 dBm Psat 27 dB Gain W-Band Power Amplifier in $0.1 \ \mu \mathrm{m}$ GaAs

In this work a W-Band power amplifier is presented in <tex>$\pmb{0.1 \ \mu\mathrm{m}}$</tex> GaAs pHEMT. The amplifier is composed of <tex>$\pmb{1\times 4}$</tex> and <tex>$\pmb{1\times 8}$</tex> driving stages for high gain and of three successive <tex>$\pmb{1\times 8}$</tex> power stages for high power. The stages were designed using a developed generic unconditionally stable unit cell. The output combiner was designed very efficiently with only 0.75 dB insertion loss to present each active device with <tex>$\mathbf{Z_{opt}}$</tex>. The amplifier has a small-signal gain above 25 dB and more than 26 dBm <tex>$\mathrm{P}_{\mathrm{sat}}$</tex> over 93–102 GHz. Due to the chosen topology, the amplifier presents a rapid saturation achieving almost <tex>$\mathrm{P}_{\mathrm{sat}}$</tex> after 6 dB compression. The PA demonstrates a peak output power of 27.3 dBm between 96–98 GHz. The measured PAE is around 12% over 93–102 GHz. It is the first power amplifier in GaAs demonstrating 0.5W of output power above 90GHz. The chip size is <tex>$\pmb{3\times 3\ \mathrm{mm}^{2}}$</tex> including pads.