Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Experimental Demonstration of a Compact Silicon Photonic Interleaver Based on an Interfering Loop With Wide Spectral Range

We present the design and experimental demonstration of a compact tunable silicon photonic interleaver with a wide spectral range. The interleaver consists of an interfering loop containing a Fabry–Perot cavity formed by two Sagnac loops. The transmission coefficients of the directional couplers are calculated based on the maximally flat criterion. The impacts of the transmission coefficient variations on the extinction ratio and filter sharpness are investigated. The wavelength dependences of the directional couplers are analyzed to increase the spectral range of the interleaver. The device was fabricated on a silicon-on-insulator platform. The spectral ranges of the measured transmission and reflection spectra are increased to 60 nm. By thermal tuning the waveguide connecting the two Sagnac loops, the central wavelength can be shifted over one free spectral range with a wavelength-tuning efficiency of ∼0.08 nm/mW.
Coded CPM applying to SCCPM scheme

Continuous Phase Modulation (CPM) scheme is one of the constant-envelope digital modulation schemes, the constant-envelope nature of CPM signals makes them robust for the nonlinear and fading channels which typically stand for the satellite and the mobile radio channels. CPM can be decomposed into a Continuous Phase Encoder (CPE) followed by a Memoryless Modulator (MM). Various forms of the encoder enable many new modulation schemes by the combination of the novel encoder and MM. This paper first proposes a new extended CPM (ECPM) scheme which uses the Extended Channel Encoder (ECE) of good property. Then a comparison of the Bit-Error-Rate (BER) of CPM and ECPM is performed through simulation. Experimental results show that ECE is a good choice for improving the performance of CPM scheme.
Non-Markovianity through Accessible Information

We propose an entanglement-based measure of non-Markovianity by employing the concept of assisted knowledge, where the environment E, acquires information about a system S, by means of its measurement apparatus A. We demonstrate that the signatures of non-Markovianity can be captured by the nonmonotonic behavior of the assisted knowledge. We explore this scenario through an experimental implementation using an optical approach that allows full access to the state of the environment. Article not available.
Registering imagery to ICESat data for measuring elevation changes on Byrd Glacier, Antarctica

We present a new approach to derive control information from ICESat data that enables rigorous registration of aerial and satellite imagery. The technique, based on matching terrain features identified from ICESat measurements and aerial imagery, opens the door to transform results of previous studies to a global reference frame. We demonstrate the proposed methodology with historical aerial photographs to determine surface changes between 1979 and 2004 over Byrd Glacier. This is important because there is no satellite radar altimetry coverage south of 81.5° S, which limits mass balance knowledge of outlet glaciers draining the East Antarctic ice sheet through the southern Transantarctic Mountains. Our study indicates that the grounded part of Byrd Glacier is close to being in balance. However, we observe large thinning on the floating part of the glacier, probably induced by increased basal melting.
Experimenting quality of life telemonitoring in a real scenario

In the last decades, the worldwide growth and adoption of eHealth solutions has impacted life expectancy and improved quality of life, especially of people living in developed countries. One key common feature of all those novel eHealth solutions is telemonitoring, which makes possible to remotely assess health status and quality of life of individuals. Telemonitoring systemsusually acquire heterogeneous data coming from sensors (physiological, biometric, environmental; wearable, non-invasive, adaptive and transparent to user) and other sources ( e.g. , interaction with the user through digital services). By analyzing thosedata, systems become aware of user context and are able to automatically infer user’s behavior as well as detect anomalies. In that way, they provide elaborated and smart knowledge to clinicians, therapists, carers, families, and the patients themselves. In this paper, we present a solution aimed at automatically assessing quality of life of people. The goal is twofold: to provide support to people in need of assistance and to inform therapists, carers and families about the improvement/worsening of qualityof life of monitored people. The paper presents first experiments that have been performed in Barcelona to automatically assess MOBILITY, SLEEPING and MOOD of a body-abled user. Since results show that the approach is effective in that scenario, thesystem has been then installed and it is currently running at three homes of people with severe disabilities.
Frequency diversity for active sonar/radar application and optimal receiver design

MIMO (Multiple Input Multiple Output) concept has been explored for radar/sonar application recently for improving target detection and estimation performance. The existing work in this direction mainly investigates the spatial diversity and waveform designs based on the assumption of the same carrier frequency for multiple transmitters. In this work, we investigate the frequency diversity by using multiple narrowband transmitters of different center frequencies. We prove that the ambiguity function for such signal is not an optimal receiver, and propose an optimal receiver for signals with different frequency components.
Upper limb disorders among biomedical laboratory workers using pipettes

Abstract Laboratory workers engaged with biomedical work often process series of specimens by repetitive or static manual activities. The widespread use of stamp pipettes has in particular been suspected to entail upper-limb disorders. Our primary aim was to test, if cumulated pipette work is associated with self-reported and clinically examined upper-limb disorders. Additionally we explored, if non-pipette repetitive or static laboratory tasks are associated with upper-limb complaints. We also explored, if use of electrically driven pipettes (reducing the forces needed to activate the pipette) are in lesser degree associated with upper limb complaints than manually driven pipettes. In all, 1,398 female laboratory technicians at two workplaces were included in a questionnaire survey. Among 1,202 respondents, 167 cases with significant upper-limb symptoms and 134 controls without participated in a case-control study. Amount of pipette work (especially when cumulated over the last 2 years) was associated with symptoms in dominant upper limb, especially in the hand/wrist and thumb, and with impingement syndrome and muscle pain in dominant shoulder. Use of electrical pipettes did not modify this association. The non-pipette tasks were at highest vaguely related to upper-limb symptoms. In biomedical laboratory work, intensive pipette use seems to constitute a dominating major ergonomic problem.
New Considerations on the Proper Study of Man – and, marginally, some other animals

In order to differentiate the semiotic capacities of animals and human beings we need to understand more exactly what these properties are. Instead of identifying all vehicles of meaning with signs, we certainly have to specify the notion of sign, but it will also be necessary to provide an inventory of other kinds of meaning, starting out from perception, and going through a number of intermediate notions such as affordances, markers, and surrogates before reaching signs and sign systems. This essay proposes a phenomenological description of a few kinds of meaning, which is not meant to be exhaustive, but still should give an idea of the complexity of the task. It suggests that not only the setting up of semiotic levels and hierarchies of evolution and development, but even, to some extent, the comparison of the capacities of animals and human beings must go hand in hand with advances in phenomenological observations.
Cancer Detection using Frequency Pattern Ant Colony Optimization

________________________________ Abstract - Over the past few decades, to computerized diagnostic tools, intended to aid expert in making sense out of the welter of data. Due to improvements in biometric instrumentation and automation, it is easy to collect a lot of experimental data in molecular biology. It is extremely important for Analysis of such data as it leads to knowledge discovery that can be validated by experiments. Several machine learning and data mining techniques are presently applied for identifying cancer using gene expression data. This paper proposes that consecutive application of two algorithms will result in finding the gene causing cancer. Using association rule mining and swarm intelligence will result in finding an accurate gene which is responsible for causing cancer. In this paper we present a system for diagnosis of cancer using FP (frequent pattern mining) growth algorithm. Ant colony optimization to predict the possibility of cancer . Ant colony algorithm is employed as evolutionary algorithm to optimize the obtained set of association rules. We are using FP algorithm to conclude whether the tumour is malignant or benign tumour. Using these two algorithms the usage of memory will also be less .
Terahertz polarizer on flexible and conformal substrate

A THz wire grid polarizer on cyclo-olefin Zeonor polymer film that exhibits high extinction ratio and low losses is theoretically and experimentally investigated. The polarizer has an extinction ratio between 30 and 45 dB and insertion losses below 1 dB in the 0.3-2.5 THz range. The high-performance characteristics of the polarizer are preserved even when it is bent at a radius of 12.5 mm. Although THz technology is still at an early stage, the possibility to bend and conform over a substrate the wire grid polarizer can open the route towards new kinds of integrated and flexible THz devices.
Functional characterization of peroxisome proliferator‐activated receptor‐β/δ expression in colon cancer

This study critically examined the role of PPARβ/δ in colon cancer models. Expression of PPARβ/δ mRNA and protein was lower and expression of CYCLIN D1 protein higher in human colon adenocarcinomas compared to matched non‐transformed tissue. Similar results were observed in colon tumors from Apc+/Min‐FCCC mice compared to control tissue. Dietary administration of sulindac to Apc+/Min‐FCCC mice had no influence on expression of PPARβ/δ in normal colon tissue or colon tumors. Cleaved poly (ADP‐ribose) polymerase (PARP) was either increased or unchanged, while expression of 14‐3‐3ε was not influenced in human colon cancer cell lines cultured with the PPARβ/δ ligand GW0742 under conditions known to increase apoptosis. While DLD1 cells exhibited fewer early apoptotic cells after ligand activation of PPARβ/δ following treatment with hydrogen peroxide, this change was associated with an increase in late apoptotic/necrotic cells, but not an increase in viable cells. Stable over‐expression of PPARβ/δ in human colon cancer cell lines enhanced ligand activation of PPARβ/δ and inhibition of clonogenicity in HT29 cells. These studies are the most quantitative to date to demonstrate that expression of PPARβ/δ is lower in human and Apc+/Min‐FCCC mouse colon tumors than in corresponding normal tissue, consistent with the finding that increasing expression and activation of PPARβ/δ in human colon cancer cell lines inhibits clonogenicity. Because ligand‐induced attenuation of early apoptosis can be associated with more late, apoptotic/necrotic cells, but not more viable cells, these studies illustrate why more comprehensive analysis of PPARβ/δ‐dependent modulation of apoptosis is required in the future. © 2011 Wiley Periodicals, Inc.
Use of herbs and spices and their extracts in animal nutrition

The ban on nutritive antibiotic use in Europe and the increased awareness of the consumers triggered a need for natural and safe feed additives to achieve better production results of farm animals. Plant extracts are used in animal nutrition as appetite and digestion stimulants, stimulants of physiological functions, for prevention and treatment of certain pathological conditions, as colorants and antioxidants. This article is a review of present literature data on the usage of plant extracts in poultry, pig and ruminant nutrition.
Novel multicarrier transmission technique for channel estimation in the world of wireless transmission

Orthogonal frequency division multiplexing (OFDM) is a method in transmission of multicarrier, which splits the spectrum into several carrier signals which is modulated by a data stream with lower rate. The action of OFDM module could be widely raised with dynamic channel estimation well prior to the de-modulation of OFDM signals since wireless channel is frequency selective and time-varying for broad-band wireless communication systems. This paper proposes the optimization of channel estimation to achieve the optimal data throughput under AWGN& Rayleigh channel models by means of simulation. The main objective of these studies is to observe the actual efficiency of OFDM channel. The characteristics performance of OFDM has been obtained by MATLAB simulations. It has been observed that OFDM's performance is significantly good, offering better tolerance to channel noise &multi-path delay. Least square estimation (LSE) and minimum mean square estimation (MMSE) are used to find the error in the received bit for the different modulation techniques and input sequences. The SER (symbol error rate) has been plotted against the SNR (signal to noise ratio) using the estimation techniques to find the channel performance. The comparison has been made between the modulation techniques, users, input sequences and estimation techniques.
Subwavelength resonant cavities fed by microstrip patch array

The analysis and design of subwavelength metamaterial-based resonant cavity antennas are presented. The antennas under investigation are formed by embedding a feeding source in a cavity composed of a Perfect Electrical Conductor (PEC) surface and a metasurface reflector. The feeding source used in this study is a 2 × 2 microstrip patch array. The effect of the cavity thickness is investigated and its influence on the radiation patterns is reported. Finally, the design of highly directive cavity antennas is presented.
Classification with Costly Features using Deep Reinforcement Learning

We study a classification problem where each feature can be acquired for a cost and the goal is to optimize a trade-off between the expected classification error and the feature cost. We revisit a former approach that has framed the problem as a sequential decision-making problem and solved it by Q-learning with a linear approximation, where individual actions are either requests for feature values or terminate the episode by providing a classification decision. On a set of eight problems, we demonstrate that by replacing the linear approximation with neural networks the approach becomes comparable to the state-of-the-art algorithms developed specifically for this problem. The approach is flexible, as it can be improved with any new reinforcement learning enhancement, it allows inclusion of pre-trained high-performance classifier, and unlike prior art, its performance is robust across all evaluated datasets.
Genetic fingerprinting and phylogenetic diversity of Staphylococcus aureus isolates from Nigeria

Genetic fingerprinting of 18 different isolates of Staphylococcus aureus from Nigeria using random amplified polymorphic DNA (RAPD) was carried out. Ten out of 100 Operon primers showed polymorphism among the isolates tested generating 88 bands, 51 of which were polymorphic with sizes ranging between 200 and 3,000 bp. All the isolates were classified completely into two major groups (Sa-1 and Sa-2) with twelve different subgroups. Sa-1 group originated from human while isolates from plant and animal origins formed the Sa-2 group. The twelve different subgroups suggest adaptation of S. aureus in the different host cells. This indicates possible relationship between host origin and genetic variation among S. aureus isolates. The DNA fingerprint defined for each race of S. aureus could be useful in epidemiological studies, medical diagnosis and the identification of new strains and their origins. (African Journal of Biotechnology: 2003 2(8): 246-250)
Face2Mus: A facial emotion based Internet radio tuner application

We propose in this paper, Face2Mus, a mobile application that streams music from online radio stations after identifying the user's emotions, without interfering with the device's usage. Face2Mus streams songs from online radio stations and classifies them into emotion classes based on audio features using an energy aware support vector machine (SVM) classifier. In parallel, the application captures images of the user's face using the smartphone or tablet's camera and classifying them into one of three emotions, using a multiclass SVM trained on facial geometric distances and wrinkles. The audio classification based on regular SVM achieved an overall testing accuracy of 99.83% when trained on the Million Song Dataset subset, whereas the energy aware SVM exhibited an average degradation of 1.93% when a 59% reduction in the number of support vectors (SV) is enforced. The image classification achieved an overall testing accuracy of 87.5% using leave one out validation on a home-made image database. The overall application requires 272KB of storage space, 12 to 24 MB of RAM and a startup time of approximately 2 minutes. Aside from its entertainment potentials, Face2Mus has possible usage in music therapy for improving people's well-being and emotional status.
Robust friction compensation in HDDs

Friction compensation via position measurement only in hard disk drives (HDD) is considered in this paper. A robust nonlinear adaptive controller is designed which uses only the motor position (i.e., the output) for feedback and does not require knowledge of electromechanical system parameters, such as parameters in the friction model, rotor inertia, etc. Reduced-order Lunberger observer is introduced and observer-based backstepping procedure is carried out in this paper. Simulation results are depicted to show the performance of the advocated controller.
Head and neck cancer : causes , prevention and treatment Abstract

Ana Lívia Silva Galbiatti, João Armando Padovani-Junior, José Victor Maníglia, Cléa Dometilde Soares Rodrigues, Érika Cristina Pavarino, Eny Maria Goloni-Bertollo 1 MSc in Health Sciences from FAMERP São José do Rio Preto Medical School. Research Unit for Molecular Biology and Genetics (UPGEM) (Biologist and Pharmacist; Doctoral student). 2 MD. PhD. (Adjunct Professor São José do Rio Preto Medical School (FAMERP). 3 MD. Associate Professor (Adjunct Professor in the São José do Rio Preto Medical School (FAMERP). 4 Nurse, PhD (Adjunct Professor São José do Rio Preto Medical School (FAMERP). 5 Biologist, Associate Professor of Human Genetics (Adjunct Professor São José do Rio Preto Medical School (FAMERP). São José do Rio Preto Medical School (FAMERP). Send correspondence to: Eny Maria Goloni-Bertollo. Av. Brigadeiro Faria Lima, no 5416. Vila São José. São José do Rio Preto SP. Brazil. CEP: 15090-000. Paper submitted to the BJORL-SGP (Publishing Management System Brazilian Journal of Otorhinolaryngology) on May 15, 2012; and accepted on August 10, 2012. cod. 9204. Although head and neck carcinoma ranks fifth among cancer types, patient survival rates have not changed significantly over the past years. Objective: To determine the risk factors, causes, therapies, and prevention measures for head and neck cancer. Method: Risk factors, causes, therapies, and preventive measures for this disease were searched on databases PUBMED, MEDLINE, and SciELO. Results: Alcohol and tobacco are still atop risk factors. Other factors may influence the development of head and neck carcinoma. Surgery is the main treatment option, and the addition of radiotherapy following surgery is frequent for patients in the early stages of the disease. Other therapies target specific genetic molecular components connected to tumor development. Disease preventive measures include smoking cessation, limiting alcohol intake, preventing exposure to tobacco smoke and environmental carcinogenic agents, early detection of infection by HPV, maintaining oral health, good eating habits, and managing stress. Conclusion: Additional research is needed for a more thorough understanding of the development of head and neck carcinomas and to shed light on new ways to improve therapeutic approaches and interventions. REVIEW ARTICLE Braz J Otorhinolaryngol. 2013;79(2):239-47. BJORL
A Novel Approach for Classifying EEG Signal with Multi-Layer Neural Network

EEG-based control is increasingly being studied to support disabled people. The good results of EEG signal classification will help make control more effectively. In this paper, a novel approach proposes the classification of EEG signals based on the EEG signal received of user looking at images with signal processing by Wavelet transform and Multi-Layer Neural Network. The system architecture was designed and evaluated with the dataset of 21,000 samples. The best accuracy rate can obtain 92.68%.
Experimental comparison of multi-static and mono-static antenna arrays for subsurface radar imaging

The performance of multi-static and mono-static radar systems is compared using experimental setup consisting of linear drives that move transmit and receive antennas in the programmable positions corresponding to multi-static or mono-static linear antenna arrays. The synthetic aperture in the direction perpendicular to the imitated linear arrays is formed by moving the target by an additional linear drive. Simulated and experimental radar images are obtained for various multi-static antenna configurations, and compared to their mono-static equivalents. The mono-static and multi-static signal processing technique is given. Possible applications of the described experimental technique are suggested.
Interpreting e-government and development: Efficiency, transparency or governance at a distance?

Purpose – The paper aims to show, through the case of Jordan, how e‐government is difficult to implement, given the characteristics of the local administration, the socio‐economic context and the dynamics of the technological infrastructure. It also aims to ascertain more generally whether the marketisation of the state, embedded in e‐government, makes sense as the paramount approach to improve democracy and foster development.Design/methodology/approach – Describes how the Kingdom of Jordan, as a case study of an innovative and extensive application of e‐government ideas and models, provides a paradigmatic example of how ICTs are being introduced in economically less developed countries and identifies the risks of failure in implementation. Based on the empirical evidence provided by the case, examines the more general implications of e‐government and new public management in the transformation of the relationship between the state and citizen.Findings – The transformation of citizens into customers is p.