Miracle-dz/UniFAR-FTUs huggingface dataset:
Design Procedure of Continuous Profile Stopband Filters Implemented With Empty Substrate Integrated Coaxial Lines

This article presents a systematic procedure aimed to design continuous profile stopband filters assembled with empty substrate integrated coaxial lines. The coaxial filter is made of five low-cost substrate layers, where the central boards contain the filter profile. This structure exhibits unimodal TEM operation over a wide frequency band, it is not dispersive, it is shielded and cannot be interfered from external signals, and it can be easily integrated with other planar devices. Well-known scattering inverse methods based on the coupled-mode theory have been used for the dimensional synthesis of the proposed topology. Since these dimensions are obtained analytically, no further brute-force optimizations are needed. In particular, a nine-pole elliptic stopband filter operating in the $K_{u}$ band and covering the whole bandwidth of Hispasat 1E communication satellite is shown. The final manufactured filter prototype is large in the longitudinal dimension, but due to its continuous topology, it results to be rather insensitive to fabrication tolerances and errors. Measured results are in good agreement with full-wave simulations. The proposed empty substrate integrated coaxial technology is particularly suitable to realize stopband filters with moderate or wide bandwidths for next-generation satellite applications.
Synthesis and Molecular Structure of the First Metallamacrocyclic Bi(III)-Cu(II) 15-MC-5 Complex Derived from Pyrazinohydroxamic Acid

Polynuclear metallamacrocyclic complexes named as metallacrowns are considered as a promising exceptional class of macroheterocyclic compounds that structurally resembles crown ethers. In this communication, we report a general synthetic approach and characterization of the first metallamacrocyclic Bi(III)-Cu(II) 15-MC-5 complex derived from pyrazinohydroxamic acid. The molecular and crystal structures of complex were determined from single-crystal X-ray diffraction studies. The single‐crystal structure reveals the classic metallamacrocyclic 15‐MC‐5 configuration. The Bi(III) ion is located at the center of the 15‐MC‐5 ring consisting of five [Cu(II)-N–O] repeat units. Detailed NBO and QTAIM studies based on DFT calculations were carried out for {Bi[15-MC Cu(II)Pyzha -5]} 3+ species.
Short Selling Risk and Hedge Fund Performance

Hedge funds, on average, outperform other actively managed funds. However, hedge fund managers often use trading strategies that are not used by other managed portfolios, and thus they bear unique risks. In particular, many hedge funds use short selling. I construct an option-based measure of short selling risk as the return spread between the decile of stocks with low option-implied short selling fees and the decile of those with high fees. I find that hedge funds that are significantly exposed to short selling risk outperform low-exposure funds by 0.45% per month on a risk-adjusted basis. However, there is no such relation for mutual funds that invest primarily on the long side. The results highlight that a significant proportion of abnormal performance of hedge funds is compensation for the risk they take on their short positions.
Effect of Bid Ask Spread, Profitability, and Free Cash Flow on Earning Management

The purpose of this study was to determine the effect of bid ask spread, profitability, and free cash flow on earnings management. The population in this study are manufacturing companies listed on the Indonesia Stock Exchange in 2016-2018. The sampling method used was purposive sampling with predetermined criteria. Earning management is determined by the accruals method. The results of this study stated that the bid ask spread did not have a significant effect on earnings management, while profitability and free cash flow had a significant effect on earnings management.
The Genus Philanthus (Hymenoptera: Sphecidae: Philanthinae) in Korea

The genus Philanthus Fabricius, 1790 in Korea are reviewed, and two species, Philanthus triangulum and P. coro­ nata, are treated. The former is new to Korea. This species is easily separated from congeners by dense punctures in propodral enclosure and tri­forked marking in lower face. DNA barcoding test is supportive in our identification as well as conspecitficity of Korean materials showing variation in size and coloration. The observed data on flower associations of this species specified with domestic localites and date are separately provided. The current status of Philanthus coronatus that has been the only representative of the genus but forgotten for a lengthy time in Korea is discussed.
Improving Localization of Deep Inclusions in Time-Resolved Diffuse Optical Tomography

Time-resolved diffuse optical tomography is a technique used to recover the optical properties of an unknown diffusive medium by solving an ill-posed inverse problem. In time-domain, reconstructions based on datatypes are used for their computational efficiency. In practice, most used datatypes are temporal windows and Fourier transform. Nevertheless, neither theoretical nor numerical studies assessing different datatypes have been clearly expressed. In this paper, we propose an overview and a new process to compute efficiently a long set of temporal windows in order to perform diffuse optical tomography. We did a theoretical comparison of these large set of temporal windows. We also did simulations in a reflectance geometry with a spherical inclusion at different depths. The results are presented in terms of inclusion localization and its absorption coefficient recovery. We show that (1) the new windows computed with the developed method improve inclusion localization for inclusions at deep layers, (2) inclusion absorption quantification is improved at all depths and, (3) in some cases these windows can be equivalent to frequency based reconstruction at GHz order.
Fiscal revenues and macroeconomic effects : case of Burkina Faso

How to generate significant tax revenues without compromising the long-term growth potential of the economy? We address this question by estimating the lung-run relationship between, the growth, investment and tax policy. The results showed that fiscal revenues contribute positively to economic growth in the long run. A 1% increase in fiscal revenues leads to about 0.77% increase in real GDP. The impact of indirect tax revenue is more important than the direct tax revenue. In this fact, it’s very important to focus the government attention on mobilizing of resources from the indirect tax. This study indicates a 1% increase in the fiscal revenues tends to increase the investment by 0.82%. The best strategies or reform for fiscal resources mobilization in Burkina involves several critical lines, such as (i) to reduce tax exemptions, (ii) to tax optimally the informal sector, (iii) to increase the taxes for alcohol and tobacco (iv) to enhance management, governance, and human resources to support tax collection, (v) to decentralize the fiscal administration , (vi) to fight tax fraud by introducing more modern business procedures in the fiscal administration based on technologies.
T cell cancer immunotherapy: Characterisation and manipulation of tumour antigen-specific T cell subsets for adoptive immunotherapy in mouse models

5 Acknowledgements . 6 Table of Figures . 16 List of Tables . 19 Abbreviations . 20 Chapter 1: Introduction . 22 1.1: The Immune System . 22 1.2: Major Histocompatibility Complex (MHC) . 23 1.3: T cell subsets . 24 1.3. 1: T cell Development . 24 1.3. 2: CD4 + T cells . 26 1.3. 3: CD8 + T cells . 26 1.3. 4: CD4 + FoxP3 + Regulatory T cells . 27 1.3. 5: Th1, Th2 and Th17 T cell responses . 28 1.3. 6: T cells and Co-stimulation . 29 1.4: Antigen-presenting Cells (APCs) . 31 1.4. 1: Dendritic Cells . 31 1.4. 2: Macrophages and Monocytes . 32 1.4. 3: B cells . 32 1.5: Cytokines and Chemokines . 33 1.5. 1: Interleukin-2 (IL-2) . 34 1.5. 2: IL-10 . 35 1.5. 3: IL-12 . 35 1.5. 4: IL-17A . 35 1.5. 5: Interferon Gamma (IFN) . 36 1.5. 6: Tumour Necrosis Factor alpha (TNF) . 36 1.5. 7: Transforming Growth Factor Beta (TGF-) . 36 1.5. 8: Chemokines . 37 1.6: Tumour biology and tumour: T cell interactions . 37 1.6. 1: Immunoevasion and Immunomodulation . 38 1.6. 2: T cells and cancer . 40 1.6. 3: Tregs and cancer . 41
Simulating calcium signaling in fine astrocytic processes

Astrocytes are predominant glial cells in the central nervous system, which are essential for the formation of synapses, participate to the blood-brain barrier and maintain the metabolic, ionic and neurotransmitter homeostasis. Recently, astrocytes have emerged as key elements of information processing in the central nervous system. Astrocytes can contact neurons at synapses and modulate neuronal communication via the release of gliotransmitters and the uptake of neurotransmitters. The use of super-resolution microscopy and highly sensitive genetically encoded Ca2+ indicators (GECIs) has revealed a striking spatiotemporal diversity of Ca2+ signals in astrocytes. Most astrocytic signals occur in processes, which are the sites of neuron-astrocyte communication. Those processes are too fine to be resolved by conventional light microscopy so that super-resolution microscopy and computational modeling remain the only methodologies to study those compartments. The work presented in this thesis aims at investigating the effect of spatial properties (as e.g cellular geometry, molecular distributions and diffusion) on Ca2+ signals in those processes, which are deemed essential in such small volumes. Historically, Ca2+ signals were modeled with deterministic well-mixed approaches, which enabled the study of Ca2+ signals in astrocytic networks or whole-cell events. Those methods however ignore the stochasticity inherent to molecular interactions as well as diffusion effects, which both play important roles in small volumes. In this thesis, we present the spatially-extended stochastic model that we have developed in order to investigate Ca2+ signals in fine astrocytic processes. This work was performed in collaboration with experimentalists that performed electron as well as super-resolution microscopy. The model was validated against experimental data. Simulations of the model suggest that (1) molecular diffusion, strongly influenced by the concentration and kinetics of endogenous and exogenous buffers, (2) intracellular spatial organization of molecules, notably the co-clustering of Ca2+ channels, (3) ER geometry and localization within the cell, (4) cellular geometry strongly influence Ca2+ dynamics and can be responsible for the striking diversity of astrocytic Ca2+ signals. This work contributes to a better understanding of astrocyte Ca2+ signals, a prerequisite for understanding neuron-astrocyte communication and its influence on brain function.
Forest Contribution to Climate Change Mitigation: Management Oriented to Carbon Capture and Storage

Today, climate change is assumed by many researchers and scholars as a certainty and is presented as the biggest challenge humanity has ever faced. It is commonly accepted that anthropogenic greenhouse gas emissions are the main cause that is accelerating the process. Therefore, it is urgent to find solutions to mitigate climate change, mainly because the intense effects have already been felt, in many cases in the form of the occurrence of extremely violent weather events. Forests are undoubtedly one of the most effective and easiest ways to provide the function of carbon sinks. However, it is essential and convenient to analyze the permanence time of this carbon in forests, because this permanence time depends directly on the forest management model used. This article aims to analyze forest management models from the perspective of carbon residence time in temperate forests, dividing the models into three types, namely carbon conservation models, carbon storage models, and carbon substitution models, according to their ability to contribute to functioning as carbon sinks, thereby contributing to the mitigation of climate change.
Nonprofit Care Work as Social Glue: Creating and Sustaining Social Reproduction in the Context of Austerity/Late Neoliberalism

This article will bring together the social glue concept of social reproduction and a feminist analysis of civil society to the study of nonprofit care work in order to cast analytic light on the dynamics of care work in the nonprofit sector and contribute to theorizing care work, to identify and theorize aspects of nonprofit care work which reproduce and sustain social glue, and to supplement theory on civil society. Drawing on qualitative interviews with nonprofit care workers in South Africa and Scotland, this article argues that care work, in general, and nonprofit care work, more specifically, are key components of civil society and central to the gendered social glue that holds societies together. We argue that nonprofit care workers are part a distinctive but porous set of social relations and have their own unique way of sustaining social bonds in the context of late neoliberalism. The article looks closely at three dynamics of social glue in nonprofit care work, namely, empowerment, emotional/personal costs, and unpaid work. We argue that nonprofit care workers find micro ways of resisting the erosion of social glue and reweaving the social fabric through care and relationship and further that these forms of resistance may sustain much needed social bonds until larger social transformation is possible.
Coping with heat in the arid interior – what can feather structure reveal about the ecology of Australia’s desert-living Grey Falcon Falco hypoleucos?

ABSTRACT The Grey Falcon (Falco hypoleucos) is a desert-living species restricted to the dry centre of Australia. These falcons have a number of unique life-history adaptations that may be crucial for their survival in this harsh environment, but these may, conversely, confine them to these arid regions. In this study we investigated what Grey Falcon feather structure can reveal about the ecology of the species. Specifically, we tested UV reflectance and structural waterproofing of Grey Falcon feathers, and compared these properties across other Australian Falco species. Grey Falcon feathers did not reflect unique UV peaks, nor show any significant difference in structural waterproofing when compared with closely-related sympatric falcon species. This suggests that Grey Falcon feathers have no specific adaptations to prevent the impact of UV or water on their plumage, so feather structure evidently does not help explain the persistence of this species in arid Australia. We suggest that an exploration of the physiological and behavioural thermoregulatory capabilities of this species should provide further insights in understanding how these birds cope with their extreme environment and are confined there.
Does tourism sports event make residents happier? — Exploring the SWB of Macau residents in the case of Macau Grand Prix

ABSTRACT The relationship between tourism and subjective well-being (SWB) has received much academic attention. However, how residents’ SWB was influenced by tourism remains unexplored. Grand Prix has been recognised as the most internationally prestigious sports event in Macau. However, it has also been listed as one of the most controversial events with a couple of negative impacts. On the basis of the context of Macau Grand Prix, this study aims to explore Macau residents’ SWB as well as its influences on their supports for tourism. This study developed and validated a more comprehensive model of residents’ SWB. Drawing on a survey of 419 valid responses during the 64th Macau Grand Prix in 2017, this study confirms that community benefits, followed by cultural education benefit, are the strongest factors affecting residents’ SWB. In addition, the quality of life concern and resources allocation concern show a negative influence on Affective well-being. Furthermore, the results indicate that Macau local residents show strong support and demonstrate positive attitudes towards this event. Finally, some suggestions are put forward to balance the benefits among different stakeholders and further improve the SWB of Macau residents.
Preliminary ICP stage for data-thinning based on object geometry

Basically, the I CP algorithm steps are as follows: for each point i n the first set, match the closest point in the second set; estimate mapping parameters using the RMS cost function; transform points using estimated parameters; perform multiple iterations (reconnecting points, and so on). In this paper a preliminary data-thinning algorithm is proposed. It can help to speed up all ICP algorithm stages by reducing the amount of input data. The proposed algorithm is based on the human perception of objects geometry. A human often analyzes edges and corners of objects and does not pay attention to the inner parts of polygons when comparing two objects and looking for similar parts. The algorithm described in this article begins with a search of planes in point’s cloud. Next, the search for intersection of the found planes is performed in order to extract object edges. Finally, the intersection of the edges help us to get object corners. Further, all points not belonging to the edges and corners are removed from the point cloud. In real objects polygons most often occupy a large part of the object, therefore the proposed algorithm allows to get rid of a large number of insignificant points.
Improving Irrigation Scheduling Using MOSES Short-Term Irrigation Forecasts and In Situ Water Resources Measurements on Alluvial Soils of Lower Danube Floodplain, Romania

In recent decades, water scarcity has become a frequent and widespread phenomenon. Intensification of water scarcity will have economic impact on the main water-using sectors. The highest pressure on the water resources is exerted by agriculture. Irrigation is the largest consumer of the agriculture sector and the efficient use of water is of utmost importance. The aim of this study is to explore the capability of an innovative platform that combines Earth Observation data, weather forecasts and numerical simulations to plan more precisely water allocation in space and time in the irrigated agriculture. This platform, created in the framework of MOSES, provides in Romania short-term irrigation forecasts adapted to the hydrological behavior of alluvial soils specific to the Lower Danube Floodplain. The short-term irrigation forecasts have been tested with applied water volumes and in situ water resources measurements in order to assess the water allocation in the irrigated agriculture. Although irrigation forecast was run operationally only one crop year (2017–2018), in the framework of MOSES Project, the comparison revealed that the irrigation scheduling in this area is more influenced by the infrastructure characteristics and less by the spatial distribution of crop water needs and availability of water resources. Our results show that short-term irrigation forecasts accompanied by real time monitoring of water resources could be successfully used in the irrigation scheduling activity for improving water allocation in space and time in the irrigated agriculture.
ShareSafe: An Improved Version of SecGraph

In this paper, we redesign, implement, and evaluate ShareSafe (Based on SecGraph), an open-source secure graph data sharing/publishing platform. Within ShareSafe, we propose De-anonymization Quantification Module and Recommendation Module. Besides, we model the attackers’ background knowledge and evaluate the relation between graph data privacy and the structure of the graph. To the best of our knowledge, ShareSafe is the first platform that enables users to perform data perturbation, utility evaluation, De-A evaluation, and Privacy Quantification. Leveraging ShareSafe, we conduct a more comprehensive and advanced utility and privacy evaluation. The results demonstrate that (1) The risk of privacy leakage of anonymized graph increases with the attackers’ background knowledge. (2) For a successful de-anonymization attack, the seed mapping, even relatively small, plays a much more important role than the auxiliary graph. (3) The structure of graph has a fundamental and significant effect on the utility and privacy of the graph. (4) There is no optimal anonymization/de-anonymization algorithm. For different environment, the performance of each algorithm varies from each other.
An Informal Visit to the Wonderful Land of Consensus Numbers and Beyond

Since its introduction by M. Herlihy in 1991, consensus number has be- come a central notion to capture and understand the agreement and synchro- nization power of objects in the presence of asynchrony and any number of process crashes. This notion has now become fundamental in shared mem- ory systems, when one is interested in the design of universal constructions for high level objects defined by a sequential specification. The aim of this survey is to be a guided tour in the wonderful land of consensus numbers. In addition to more ancient results, it also presents recent results related to the existence of an infinity of objects –of increasing synchronization/agreement power– at each level of the consensus hierarchy.
Reinforcing Neural Network Stability with Attractor Dynamics

Recent approaches interpret deep neural works (DNNs) as dynamical systems, drawing the connection between stability in forward propagation and generalization of DNNs. In this paper, we take a step further to be the first to reinforce this stability of DNNs without changing their original structure and verify the impact of the reinforced stability on the network representation from various aspects. More specifically, we reinforce stability by modeling attractor dynamics of a DNN and propose relu-max attractor network (RMAN), a light-weight module readily to be deployed on state-of-the-art ResNet-like networks. RMAN is only needed during training so as to modify a ResNet's attractor dynamics by minimizing an energy function together with the loss of the original learning task. Through intensive experiments, we show that RMAN-modified attractor dynamics bring a more structured representation space to ResNet and its variants, and more importantly improve the generalization ability of ResNet-like networks in supervised tasks due to reinforced stability.
Venous thromboembolism after total hip arthroplasty. A review of incidence and prevention during hospitalization and after hospital discharge

Le risque de phlebo-thrombose veineuse profonde apres prothese totale de hanche est significativement reduit par le recours a une prevention medicamenteuse et physique. Les heparines de bas poids moleculaire, la deambulation precoce et la compression de l'arcade veineuse plantaire selon un cycle repetitif («arteriovenous impulse system foot pump») apparaissent actuellement comme les plus efficaces. En milieu hospitalier, l'indication d'une prevention est de moins en moins souvent remise en question. Par contre, a la sortie de l'hopital, la prevention est encore mal codifiee probablement en raison de la diversite des protocoles publies. Certains ont propose l'evaluation systematique par phlebographie ou par echographie Doppler avant la sortie de l'opere ; d'autres ont propose la poursuite systematique de la prevention medicamenteuse pendant une duree minimale de 3 semaines. Les resultats d'une etude prospective multicentrique effectuee recemment en Belgique confortent cette derniere attitude, et incitent a poursuivre la prevention par heparines de bas poids moleculaire, surtout chez les malades peu mobiles.