Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Fidelity and High-Speed Wavefront Shaping by Leveraging Complex Media

Achieving high-precision light manipulation is crucial for delivering information through complex media with high fidelity. However, existing spatial light modulation devices face a fundamental tradeoff between speed and accuracy. Digital micromirror devices (DMDs) have emerged as a promising candidate as accessible high-speed wavefront shaping devices but at the cost of compromised fidelity, largely due to the limited control degrees of freedom and the challenge of numerically optimizing a binary amplitude mask. Here we leverage the sparse-to-random transformation through complex media to overcome the dimensionality limitation of spatial light modulation devices. We demonstrate that pattern compression in the form of sparsity-constrained wavefront optimization allows sparse and robust wavefront representations of generic patterns in the random basis provided by the complex media, and thus effectively addresses the dimensionality limitation of DMDs, which significantly improves the projection fidelity without sacrificing the full frame rate (22 kHz), hardware complexity, or optimization time (0.5 s for 1000 frames). Since the dimensionality limitation is intrinsic to spatial light modulation devices and sparse-to-random transformation to complex media, our methods can be generalized to different pattern types, complex media, and device settings, supporting consistent superior performance across different types of complex media with up to an 89% increase in projection accuracy and a 126% improvement in speckle suppression. The proposed optimization framework has the potential to enhance existing holographic setups without any change to the hardware, enable high-fidelity and high-speed wavefront shaping through different scattering media and platforms, and directly facilitate a wide range of physics and real-world applications.
The Impact of High-Contact Sports on Memory and Auditory Comprehension in Young Athletes following Sports-Related Concussions

Purpose: we investigated whether memory and language abilities differ by sports played (football, basketball, and ice hockey) following Sport-Related Concussions (SRCs). Methods: A total of 74 young athletes with mild TBI were enrolled in this study and all participants specifically from Sports-Related Concussions. The group of 74 participants with mTBI from SRCs was divided into three groups by the sports played: football (N=35), basketball (N=19), and ice hockey (N=20). Results: The Multivariate Analysis of Variance (MANOVA) was conducted on the two selected variables, verbal memory composite scores and CRTT-Efficiency Scores. The results of the MANOVA demonstrated that there were no significant differences across three sports group.Conclusions: The primary goal of the current study was to investigate whether measurement of cognitivelinguistic function across three different high-contact sports showed significant differences on young athletes’ memory and language performance following sport-related concussions (SRCs). The results revealed that verbal memory and auditory comprehension at a sentence level were not statistically significantly different across three main high-contact sports following SRCs.
Diagnostic Microbiology and Infectious Disease

⁎ Corresponding author. Tel. : +34-91-2071625. E-mail address: jesus.mingorance@idipaz.es (J. Mingor https://doi.org/10.1016/j.diagmicrobio.2018.09.008 0732-8893/© 2018 Elsevier Inc. All rights reserved. Please cite this article as: López-Camacho E, Diagn Microbiol Infect Dis (2018), https://do Article history: Received 19 April 2018 Received in revised form 2 August 2018 Accepted 14 September 2018 Available online xxxx
Debugging Data-Flows in Reactive Programs

Reactive Programming is a way of programming designed to provide developers with the right abstractions for creating systems that use streams of data. Traditional debug tools lack support for the abstractions provided, causing developers to fallback to the most rudimentary debug tool available: printf-debugging. In this work, we design a visualization and debugging tool for Reactive Programming, that aids comprehension and debugging of reactive systems, by visualizing the dependencies and structure of the data flow, and the data inside the flow. We present RxFiddle, a platform for the visualization as well as the required instrumentation for RxJS in the ReactiveXfamily of Reactive Programming libraries. Evaluation based on an experiment with 111 subjects, shows that RxFiddle can outperform traditional debugging in terms of debug time required.
A 900/1800 MHz dual‐band high‐efficiency rectenna

This article presents a high‐efficiency dual‐band rectenna, for RF energy harvesting in GSM bands (900‐1800 MHz). The rectifier used is a dual‐diode rectifier topology based on a Delon voltage doubler. To ensure, the highest efficiency as possible, source‐pull simulations are used to determine the optimal diodes input impedance. The antenna is a spiral planar structure, where two slots ring resonators have been added to expand bandwidth at low frequencies without increasing its initial size. It is associated with a broadband balun to transform its impedance into the desired 50‐Ω rectifier input impedance. The antenna and balun are sized for broadband operation to cover the main wireless communication bands. Measurement results show high RF‐DC conversion efficiencies of 28% and 20% at 890 MHz and 1780 MHz, respectively, for a low RF input power of −20 dBm and with a 10 kΩ DC load. Efficiency reaches 43.5% with a dual‐tone signal at −20 dBm.
Relationship Between Knowledge and Community Stigma with The Level of Family Efficacy in Treating Mental Disorders in The Barong Tongkok Health Center Work Area

Introduction: Mental health is one of the most important health problems in the world, including in Indonesia. People still have a low understanding of mental disorders. Objective: to determine the relationship between knowledge and community stigma with the level of family efficacy in treating mental disorders in the Barong Tongkok Health Center Work Area. Methods: The research design is a descriptive correlation with a cross-sectional approach. The population in the Working Area of ? the Barong Tongkok Health Center is 82 people. Using total sampling. The statistical test used is Chi-Square. Result and Discussion: There is a relationship between knowledge and family efficacy in treating mental patients (? -value = 0.00). There is a relationship between community stigma and the level of family efficacy in treating mental patients (? -value = 0.01). Conclusion: The stigma created by society towards people with mental disorders indirectly causes families or people around people with mental disorders to be reluctant to provide proper treatment
Factors affecting health seeking behavior for common childhood illnesses in Yemen

questionnaires. Results: Medical care was sought for about half of the sick children (n = 109, 51.42%). Seeking medical care was frequently initiated for illnesses that did not improve or worsened. The major reasons for not seeking medical care were “illness was mild” (n = 40, 38.83%) and “illness is not for medical treatment” (n = 32, 31.07%). The caretakers sought medical care significantly more when they had a higher level of school education (POR [prevalence odds ratio] 5.85, 95% CI [confidence interval]: 2.34–14.61), when the illness was perceived as severe (POR 5.39, 95% CI: 2.81–10.33), and when the child had difficulty of breathing (POR 2.93, 95% CI: 1.10–7.80). Conclusion: For the preventable childhood illnesses with existing interventions, appropriate HSB prevalence is low. Symptom type, caretakers’ education, and perception of illness severity are the predictors of HSB. Educational improvement of the mothers, introduction of community based integrated management of childhood illness, and in-depth research are imperative to improve mothers’ HSB.
Ecologie des Leishmanioses dans le Sud de la France - 13. Les sites de “flanc de coteau”, biotopes de transmission privilégiés de la Leishmaniose viscérale en Cévennes.

Utilisant la technique des « transects de piegeage » dans un massif des Basses-Cevennes (Roquedur, Gard), les auteurs montrent que Phlebotomus ariasi Tonnoir, 1921 est localise preferentiellement aux « zones de mi-pente ». C’est dans ces memes secteurs que s’observent la plupart des cas de Leishmaniose viscerale, tant humaine que canine.
Selection of Multi-Drug Targets against Drug-Resistant Mycobacterium tuberculosis XDR1219 Using the Hyperbolic Mapping of the Protein Interaction Network

Tuberculosis remains the leading cause of death from a single pathogen. On the other hand, antimicrobial resistance (AMR) makes it increasingly difficult to deal with this disease. We present the hyperbolic embedding of the Mycobacterium tuberculosis protein interaction network (mtbPIN) of resistant strain (MTB XDR1219) to determine the biological relevance of its latent geometry. In this hypermap, proteins with similar interacting partners occupy close positions. An analysis of the hypermap of available drug targets (DTs) and their direct and intermediate interactors was used to identify potentially useful drug combinations and drug targets. We identify rpsA and rpsL as close DTs targeted by different drugs (pyrazinamide and aminoglycosides, respectively) and propose that the combination of these drugs could have a synergistic effect. We also used the hypermap to explain the effects of drugs that affect multiple DTs, for example, forcing the bacteria to deal with multiple stresses like ethambutol, which affects the synthesis of both arabinogalactan and lipoarabinomannan. Our strategy uncovers novel potential DTs, such as dprE1 and dnaK proteins, which interact with two close DT pairs: arabinosyltransferases (embC and embB), Ser/Thr protein kinase (pknB) and RNA polymerase (rpoB), respectively. Our approach provides mechanistic explanations for existing drugs and suggests new DTs. This strategy can also be applied to the study of other resistant strains.
Biomaterial encapsulation is enhanced in the early stages of the Foreign Body Reaction during conditional macrophage depletion in transgenic MaFIA mice

T h is p ap er h as b ee n p ee rre v ie w ed a n d a cc ep te d f o r p u b li ca ti o n , b u t h as y et t o u n d er g o c o p y ed it in g a n d p ro o f co rr ec ti o n . T h e fi n al p u b li sh ed v er si o n m ay d if fe r fr o m t h is p ro o f. Biomaterial encapsulation is enhanced in the early stages of the Foreign Body Reaction during conditional macrophage depletion in transgenic MaFIA mice
Active and passive recovery influence responses of luteinizing hormone and

significantly (p < 0.001) from the control measurements in both AR and PR but returned to control levels by next morning. No between-group differences were observed in mean absolute or relative changes in MVC or CMJ. From a hormonal perspective, the present AR method appears to have had some favorable effects following the strenuous strength loading; however, acute decreases in muscular force production did not significantly differ between groups. These results provide insight into the development of training programs that may help to support the performance of individuals involved in strenuous tasks.
In-season early mapping of rice area and flooding dynamics from optical and SAR satellite data

ABSTRACT Rice mapping products were derived from Sentinel-1A and Landsat-8 OLI multi-temporal imagery over Northern Italy at the early stages of the 2015 growing season. A rule-based algorithm was applied to synthetic statistical metrics (TSDs-Temporal Spectra Descriptors) computed from temporal datasets of optical spectral indices and SAR backscattering coefficient. Temporal series are available up to the tillering/full canopy cover stage which is identified as the optimum timing for delivering in-season information on rice area (i.e. mid July). The approach relies on a-priori knowledge on crop dynamics to adapt time horizons for TSD computation and thresholds to local conditions. Output products consist of maps of rice cultivated areas, rice seeding techniques (dry and flooded rice) and flooding practices. Validation showed rice mapping overall accuracy to be 87.8% with commission and omission errors of 3.5% and 24.7%, respectively. Mapping of rice seeding technique showed good agreement with farmer declarations aggregated at the municipality scale (dry rice r 2 = 0.71 and flooded rice r 2 = 0.91). Finally, flood maps have an overall accuracy above 70%. Geo-products on rice areas and flooding occurrence are relevant information for water management at regional scale especially during summer in presence of multiple crops and water shortage.
The smell of death. State-of-the-art and future research directions

The decomposition of a body is inseparably associated with the release of several types of odors. This phenomenon has been used in the training of sniffer dogs for decades. The odor profile associated with decomposition consists of a range of volatile organic compounds (VOCs), chemical composition of which varies over time, temperature, environmental conditions, and the type of microorganisms, and insects colonizing the carcass. Mercaptans are responsible for the bad smell associated with corpses; however, there are no unified recommendations for conducting forensic analysis based on the detectable odor of revealed corpses and previous research on VOCs shows differing results. The aim of this review is to systematize the current knowledge on the type of volatile organic compounds related to the decomposition process, depending on a few variables. This knowledge will improve the methods of VOCs detection and analysis to be used in modern forensic diagnostics and improve the methods of training dogs for forensic applications.
Laser Frequency Combs for Coherent Optical Communications

Laser frequency combs with repetition rates on the order of 10 GHz and higher can be used as multi-carrier sources in wavelength-division multiplexing (WDM). They allow replacing tens of tunable continuous-wave lasers by a single laser source. In addition, the comb’s line spacing stability and broadband phase coherence enable signal processing beyond what is possible with an array of independent lasers. Modern WDM systems operate with advanced modulation formats and coherent receivers. This introduces stringent requirements in terms of signal-to-noise ratio, power per line and optical linewidth which can be challenging to attain for frequency comb sources. Here, we set quantitative benchmarks for these characteristics and discuss tradeoffs in terms of transmission reach and achievable data rates. We also highlight recent achievements for comb-based superchannels, including >10 Tb/s transmission with extremely high spectral efficiency, and the possibility to significantly simplify the coherent receiver by realizing joint digital signal processing. We finally discuss advances with microresonator frequency combs and compare their performance in terms of flatness and conversion efficiency against state-of-the-art electro-optic frequency comb generators. This contribution provides guidelines for developing frequency comb sources in coherent fiber-optic communication systems. Index Terms — Laser frequency combs, coherent communications, wavelength division multiplexing, fiber-optic communication systems, microresonator frequency combs.
Representation of Solutions and Finite Time Stability for Delay Differential Systems with Impulsive Effects

Abstract In this paper, we study finite time stability for linear and nonlinear delay systems with linear impulsive conditions and linear parts defined by permutable matrices. We introduce a new concept of impulsive delayed matrix function and apply the variation of constants method to seek a representation of solution of linear impulsive delay systems, which can be well used to deal with finite time stability. We establish sufficient conditions for the finite time stability results by using the properties of impulsive delayed matrix exponential and Gronwall’s integral inequalities. Finally, we give numerical examples to demonstrate the validity of theoretical results and present some possible advantage by comparing the current work with the previous literature.
Perception is Always Right : The CNB ́ s Monetary Policy in the Media Ji ř í

In this paper we analyze the favorableness and extent of the media coverage of the CNB’s monetary policy decisions in the period of 2002–2007. We identify the factors explaining the variance in these two dimensions using an extensive set of articles published in the four most relevant Czech daily broadsheets immediately after monetary policy meetings. We take account of parameters of the CNB’s actual monetary policy decisions and related communication as well as variables characterizing the general economic environment that prevailed at the times of the individual meetings. The most appealing results are that those CNB’s decisions that surprise financial markets are − if needed − not negatively perceived by the media and that the media welcomes interest rate changes. Therefore, from the media coverage point of view, there is no need for too much smoothing. Simultaneously, our analyses shed some light on how the media tends to report on (economic) events in general. JEL Codes: E52, E58.
Genetic consequences of long-term isolation for the last French population of Eryngium viviparum (Apiaceae)

Eryngium viviparum (Apiaceae) is an endangered endemic plant of the Atlantic region of Europe, growing in seasonally flooded sites, and is characterized by a highly disjunct distribution. It occurs in just a few sites in the north-western part of the Iberian Peninsula and in a single locality in France. To improve the conservation status of E. viviparum in France, a conservation programme has been implemented to reintroduce the species. Before considering such an operation, genetic studies were conducted to determine the genetic status of the last French population and to identify the genetic source that should be considered for the best reintroduction strategy. Using microsatellite markers, we documented the genetic structure of the last French population and compared its genetic diversity with that of ten Iberian populations, which cover the three geographical regions where the species occurs. As expected, the French population of E. viviparum shows low genetic diversity due to a bottleneck and geographical isolation. The evolutionary potential appears low, with no private alleles in this population. Furthermore, this population is highly differentiated from the Iberian populations in terms of genetic variation and ecological niche. These results bring new questions regarding the conservation of E. viviparum in France, especially for management and reintroduction aimed at favouring genetic diversity and avoiding extinction.
Simplified Trellis Decoding of Black Codes by Selective Pruning

Error correcting codes are of paramount importance for reliable communications. By adding redundancy to the transmitted data they allow the decoder to detect and correct errors. However in favorable channel conditions, a part of this redundancy can be removed in order to increase throughput. Unfortunately most co ding schemes are poorly adapted to these higher co ding rates. For ex ample , the decoding of block codes grows exponentially with code length. In this thesis we propose a novel solution to this problem: selective trellis pruning. Selective trellis pruning reduces decoding complexity by removing certain codewords from the trellis. This reduction is accompli shed by making hard decisions on the values of bits in the received sequence above the certainty threshold. This method can pro duce near-optimal results with only a fraction of the operation required by full decoding thanks to the reduced trellis size. In this work we also introduce an innovative way of obtaining the pruned trellis directly from a simplified version of the generator matrix. By using this method we avoid the long process of constructing and then pruning the full trellises, thus making the selective trellis pruning algorithm an efficient decoding tool. Finally we apply this algorithm to the parallel concatenated turbo block code decoder in order to reduce its
On the Gevrey hypo-ellipticity of sums of squares of vector fields

On etudie un operateur differentiel du second ordre du type -L = X 2 1 + . +X 2 r , ou les X i sont des champs vectoriels reels et analytiques. On decrit, en termes analytiques et geometriques simples, la stratification de Poisson de la variete caracteristique de L et on rappelle la conjecture selon laquelle une condition necessaire et suffisante pour l'hypo-ellipticite analytique de L serait que chaque strate de Poisson soit symplectique. Les auteurs formulent une conjecture nouvelle sur l'hypo-ellipticite Gevrey de L selon laquelle cette propriete dependrait de la restriction du symbole principal σ (L) a certaines sous-varietes bi- ou quadri-dimensionnelles contenant une courbe bicarateristique d'une strate non symplectique.
PEPA nets

In this chapter we describe a formalism which uses the stochastic process algebra PEPA as the inscription language for labelled stochastic Petri nets. Viewed in another way, the net is used to provide a structure for linking related PEPA systems. The combined modelling language naturally represents such applications as mobile code systems where the PEPA terms are used to model the program code which moves between network hosts (the places in the net). We demonstrate the modelling capabilities of the formalism on a number of examples, including a mobile server running MobileIP.
Bioactive peptides from mushroom proteins

Bioactive peptides (BPs) are multifunctional proteins that have a variety of activities and strong pharmacological effects. Due to the food-derived BPs' extensive spectrum of health benefits and numerous bioactivities, including antioxidant, immunological, anti-ageing, and anti-inflammatory activities, research on these compounds has not been interrupted throughout the past few decades. To balance the daily rise in the intake of functional foods and nutraceuticals, it is important to adopt healthy lifestyle choices. As a result, these peptides are crucial in the creation of numerous functional meals. Additionally, studies have demonstrated that peptide treatments are safer from a toxicological standpoint and have fewer adverse effects than small molecule medications. Long recognized for their culinary qualities, mushrooms have been a favourite food of the most important civilizations in history. They are currently the subject of renewed investigation due to their medicinal properties. Mushrooms provide substantial amounts of necessary proteins, dietary nondigestible carbohydrates, unsaturated fats, minerals, and different vitamins. These nutritional advantages have increased mushroom consumption and led to the creation of a variety of processed mushroom products. Bioactive peptides that have been directly or indirectly isolated from mushrooms or their mycelia are known as mushroom bioactive peptides (MBAPs). The advantages of MBAPs for promoting health and preventing disease, including their antihypertensive, antioxidant, and antibacterial actions, are becoming more widely acknowledged. However, this area is still underdeveloped, and there aren't many pertinent reviews. Therefore, the purpose of this study was to outline the current state of MBAP research with a focus on preparatory and biological operations.