Miracle-dz/UniFAR-FTUs huggingface dataset:
Technological Advancements in Affinity Proteomics : From planar antibody microarrays towards a solution-based platform

Abstract: Proteomics has the potential to deliver disease-associated biomarkers that could provide diagnostic, prognostic and predictive information to enable precision medicine. Affinity proteomics, most commonly based on antibodies and their ability to specifically capture target proteins, has emerged has a valuable tool in biomarker discovery. Our group has developed a recombinant antibody microarray platform that can be used for protein expression profiling of serum samples to define multiplex biomarker signatures. This thesis is focused on antibody engineering and assay development to further improve the current microarray platform and also present proof-of-concept for a novel solution-based platform.In Paper I we evaluated the novel detection reagent PID in search for increased signal-to-noise ratio and improved sensitivity of the microarray assay. PID is a fluorophore-packed nanoparticle and was here used to replace the currently employed single fluorophore molecule. The result showed that it was possible to use PID as a detection reagent in our assay and even higher signals were achieved, although accompanied by a heterogeneous background that will require further optimization.In Paper II and III we explored the Dock’n’Flash method for site-specific conjugation to enable oriented immobilization or functionalization of scFvs. Immobilizing the scFvs in an oriented configuration on the slide could lead to increased sensitivity and performance of the microarray assay. Functionalization could enable novel scFv applications. The scFvs were equipped with the unnatural amino acid pBpa and photocrosslinked to beta-cyclodextrin on a coated slide or in solution. Proof-of-concept was demonstrated for one scFv in Paper II and the study was expanded and the pBpa position optimized in Paper III. In Paper IV we sought to overcome some inherent limitations associated with planar microarrays for global serum profiling by developing the solution-based MIAS platform. In MIAS, proteins were displayed on beads and quantified via DNA-barcoded scFvs using next generation sequencing (NGS). Sortase A was used to site-specifically conjugate the oligonucleotide barcode to scFvs. Proof-of-concept for the assay steps was demonstrated using barcoded scFvs targeting three different serum proteins.In summary, the work presented in this thesis can be used to improve the performance of our current antibody microarray platform and also provides the first steps towards a novel solution-based platform. This could in turn enable improved development of disease-associated protein biomarkers. (Less)
Any Key : Repositioning digital literacy as an enabler for self-regulated learning

Millennial students are often seen as digital experts. This generalisation implicitly assumes that millennial students are equipped with necessary digital literacy skills to undertake their university learning such as searching curriculum-based information. But are they? And what is digital literacy and how can it be embed in teaching and learning? This paper examines the key characteristics of a contemporary view and multiplicity of digital literacy. An implementation of digital literacies in a first year undergraduate unit is described.
Property Rights in a Very Poor Country: Tenure Insecurity and Investment in Ethiopia

This paper provides evidence from one of the poorest countries of the world that the property rights matter for efficiency, investment, and growth. With all land state-owned, the threat of land redistribution never appears far off the agenda. Land rental and leasing have been made legal, but transfer rights remain restricted and the perception of continuing tenure insecurity remains quite strong. Using a unique panel data set, this study investigates whether transfer rights and tenure insecurity affect household investment decisions, focusing on trees and shrubs. The panel data estimates suggest that limited perceived transfer rights, and the threat of expropriation, negatively affect long-term investment in Ethiopian agriculture, contributing to the low returns from land and perpetuating low growth and poverty.
Title Enhanced supercontinuum generation by minute continuouswave seed

It is well-known that the properties of the supercontinuum (SC) radiation depend critically on the initial pumping conditions. For instance, if the SC is initiated by noise, namely modulation instability (MI), statistically rare “rogue waves” can be observed with sizable spectral broadening and intensity enhancement in SC. Interestingly, such rouge events can be actively controlled by adding an external weak pulse or by modulating the pump-pulse envelopes. In contrast, we here present that a simple triggering mechanism using an extremely weak continuous wave (CW) can also achieve such “rogue” enhancement. We experimentally demonstrated that a weak CW trigger (~200,000× weaker than pump) can considerably broaden the SC bandwidth compared to the untriggered SC case (~100 nm wider). Such enhancement was found to occur when the CW trigger’s wavelength falls roughly within the modulation instability gain bandwidth. CW triggering also significantly alters the SC amplitude statistics, i.e. from extreme-value statistics in the untriggered SC to almost normal distribution in the triggered SC. Interferometric measurements also revealed the improvement in the SC coherence when the SC is CW-triggered. The enhanced SC by minute CW triggering only requires the CW-wavelength tuning for optimization and eliminates the necessity of high-precision (down to picoseconds) timing between the pump and the seed as in the pulse-seeding case. It thus offers a more convenient and practical approach to realize an enhanced and stable SC for many applications, especially in which real-time, ultrafast and singleshot spectroscopic measurements are essential.
The parsec-scale properties of the radio galaxy 4C 26.42 in the dense cooling core cluster A1795

Aims. The aim of the present work is to study the radio emission on the parsec scale of 4C 26.42, the Brightest cluster galaxy in Abell 1795, in the framework of radiosources in a dense cool core cluster. Methods. We present Very Long Baseline Array (VLBA) observations at 1.6, 5, 8.4 and 22 GHz. We performed a spectral index and multiepoch analysis. Results. The source appears two-sided with a well defined and symmetric Z-structure at ∼5 mas from the core. The kiloparsec-scale morphology is similar to the parsec-scale structure, but reversed in PA, with symmetric 90 ◦ bends at about 2 arcsec from the nuclear region. Comparing data obtained at 3 different epochs we derive a 3σ limit to the apparent proper motion of βa < 0.04. We suggest that the parsec-scale jets are sub-relativistic, in contrast with the high velocities found for most low-power radio galaxies. The origin of the unusual radio morphology remains a puzzle. We suggest that the identification of the parent galaxy with the central cD in a cooling cluster plays an important role in the properties and structure of the jets.
Deep Learning Enables High-Throughput Analysis of Particle-Aggregation-Based Biosensors Imaged Using Holography

Aggregation-based assays, using micro- and nanoparticles have been widely accepted as an efficient and cost-effective biosensing tool, particularly in microbiology, where particle clustering events are used as a metric to infer the presence of a specific target analyte and quantify its concentration. Here, we present a sensitive and automated readout method for aggregation-based assays using a wide-field lens-free on-chip microscope, with the ability to rapidly analyze and quantify microscopic particle aggregation events in 3D, using deep learning-based holographic image reconstruction. In this method, the computation time for hologram reconstruction and particle autofocusing steps remains constant, regardless of the number of particles/clusters within the 3D sample volume, which provides a major throughput advantage, brought by deep learning-based image reconstruction. As a proof of concept, we demonstrate rapid detection of herpes simplex virus (HSV) by monitoring the clustering of antibody-coated micro.
Routing Protocol of Cognitive Ad Hoc Network

This paper proposes a priori cross layer routing protocol CLC-DSDV routing protocol in cognitive Ad Hoc network, the protocol will combine channel management mechanism and DSDV routing protocol in Ad Hoc network, and aiming at the existing problem of multi channel DSDV-MC routing protocol such as primary user interference, routing load imbalance, routing reconfiguration have been improved, in order to achieve the effective use of wireless spectrum of cognitive Ad Hoc networks. Concrete improvements on the routing protocol are described: joining the node load considerations in the routing process; through the information of the global routing table of each node for distribution in channel allocation; channel allocation information embedded in routing newspaper information and broadcasting timely; starting routing update packets to ensure compliance with the neighbor node information synchronization at the channel switching time. The simulation of the routing protocol based on NS2, the simulation results show that the CLC-DSDV routing protocol can effectively improve the utilization of licensed spectrum rate, throughput, delay, packet loss rate, routing load and other aspects can be more outstanding than the original multi channel routing protocol DSDV-MC.
INTEGRATION OF IMAGE DATA FOR REFINING BUILDING BOUNDARIES DERIVED FROM POINT CLOUDS

Abstract. Geometrically and topologically correct 3D building models are required to satisfy with new demands such as 3D cadastre, map updating, and decision making. More attention on building reconstruction has been paid using Airborne Laser Scanning (ALS) point cloud data. The planimetric accuracy of roof outlines, including step-edges is questionable in building models derived from only point clouds. This paper presents a new approach for the detection of accurate building boundaries by merging point clouds acquired by ALS and aerial photographs. It comprises two major parts: reconstruction of initial roof models from point clouds only, and refinement of their boundaries. A shortest closed circle (graph) analysis method is employed to generate building models in the first step. Having the advantages of high reliability, this method provides reconstruction without prior knowledge of primitive building types even when complex height jumps and various types of building roof are available. The accurate position of boundaries of the initial models is determined by the integration of the edges extracted from aerial photographs. In this process, scene constraints defined based on the initial roof models are introduced as the initial roof models are representing explicit unambiguous geometries about the scene. Experiments were conducted using the ISPRS benchmark test data. Based on test results, we show that the proposed approach can reconstruct 3D building models with higher geometrical (planimetry and vertical) and topological accuracy.
Effect of organic selenium on growth, immune response and resistance of Labeo rohita to Aeromonas hydrophila infection

A 60 day feeding trial was conducted to evaluate organic selenium supplementation in the diet of fingerling Indian major carp, Labeo rohita. A basal diet was formulated to contain 30% protein. Three levels of organic selenium (1, 2 and 3 g kg diet) were added to the basal diet. Each diet was fed to the 3 replicate groups of fingerling Labeo rohita twice a daily @ 5% of the body weight. After the feeding trial of 60 days an Aeromonas hydrophila challenge study was conducted to test the effects of diet on disease resistance. NBT test and total serum protein were carried out to assess the immune response. The weight gain%, survival, NBT levels and Relative Percent survival (RPS) were significantly higher in Labeo rohita fingerlings fed with organic selenium incorporated diets than in control groups.
Portfolio choice in tax-deferred and Roth-type savings accounts

This paper uses numerical methods to compare optimal portfolios in tax-deferred and Roth-type savings accounts. Income and payroll taxes affect optimal portfolios in tax-deferred and Roth-type plans differently. For workers with assets in only one type of plan, the optimal equity share in a tax-deferred account could be higher or lower than in a Roth, depending on initial wealth. The differences in optimal portfolios between plans are large at short investment horizons but smaller at longer horizons. This paper also studies the 'asset location' decision of workers with assets in plans of both types.
Collecting Basque specialized corpora from the web : language-specific performance tweaks and improving topic precision

The de facto standard process for collecting corpora from the Internet (with a given list of words, asking APIs of search engines for random combinations of them and downloading the returned pages) does not give very good precision when searching for texts on a certain topic. And this precision is much worse when searching for corpora in the Basque language, due to certain properties inherent in the language and in the Basque web. The method proposed in this paper improves topic precision by using a sample mini-corpus as a basis for the process: the words to be used in the queries are automatically extracted from it, and a final topic-filtering step is performed using document-similarity measures with this sample corpus. We also describe the changes made to the usual process to adapt it to the peculiarities of Basque, alongside other adjustments to improve the general performance of the system and quality of the collected corpora.
Fluvial flood risk management in a changing world

Abstract. Flood risk emerges from the interaction of hazard and vulnerability. Over recent decades the notion of risk being the basis for flood management decisions has become widely accepted and operationalised through the use of models and quantified risk analysis providing the evidence for risk-informed decision making. However, it is now abundantly apparent that changes in time, at a range of scales, of pertinent variables that determine risk are not a second order consideration but, instead, fundamentally challenge the conventional approach to flood risk management. The nature of some of these changes, particularly those that operate on extended timescales, are highly uncertain, yet decisions that may have implications for several decades still have to be taken. In this paper we explore how flood risk management may be adapted to address processes of uncertain future change. We identify a range of levels at which change may be incorporated in decision making: in the representation of uncertain non-stationary quantities; in the rules that are used to identify preferred options; in the variety of options that may be contemplated for flood risk management; in the scope of problem definition, which increasingly extends to address multiple hazards and multiple functions of river basins; and in the social and organizational characteristics that promote adaptive capacity. Integrated responses to changing flood risk need to attend to each of these levels of decision making, from the technicalities of non-stationarity, to the promotion of resilient societies.
Pulmonary Perspective The Cancer Paradigm of Severe Pulmonary Arterial Hypertension

Department of Pathology, University of Colorado at Denver and Health Sciences Center, Denver, Colorado; Center for Lung Biology, University of South Alabama, Mobile, Alabama; Pulmonary and Critical Care Medicine, University of Colorado at Denver and Health Sciences Center, Denver, Colorado; Technische Hochschule, Gustav Carus Universität, Dresden, Germany; and Pulmonary and Critical Care Medicine Division, Virginia Commonwealth University, Richmond, Virginia
An overview of active compliance control for a robotic hand

It is vital to ensure that a robotic hand can successfully grasp the objects without damaging them. In order to allow a safe grasping, a technique called an active compliance control has been deployed. Active compliance control is an increasingly employed technique used in the robotic field such as service robotics, virtual reality and haptics, telemanipulation, human augmentation, and assistant. Recent research trends show that there are two main methods used in establishing active compliance control for robotic hand namely the force control and the impedance control. This paper highlights a summary of currently related works on active compliant control by using the force control and the impedance control. In addition, several control strategies of active compliance control are also discussed and highlighted for a safe grasping
VARIATION IN PRE-NASAL VOWELS IN OSAKA JAPANESE

This paper presents two studies on the production of vowels preceding the two nasal categories in Japanese, specifically Osaka Japanese. These two nasal categories are the mora nasal and the non-moraic nasal. As earlier studies have often focussed on the difference in length of the nasals themselves which were supposed to account for the ability to distinguish perceptually between the nasal categories, these studies focus on articulatory procedures which already take place anticipatorily in the preceding vowel. Variation in the quality of the preceding vowels is found to vary systematically and therefore is interpreted to serve as an indication about the nasal category to follow. The time course of anticipatory velar lowering on the other hand is not found to vary systematically and therefore it does not seem play an indicative role.
Combination of searches for heavy resonances decaying into bosonic and leptonic final states using 36 fb (-1 ) of proton-proton collision data at root s = 13 TeV with the ATLAS detector

Aaboud, M. ; Aad, G. ; Abbott, B. ; Abdinov, O. ; Abeloos, B; Abhayasinghe, DK; Abidi, S.H. ; Abouzeid, Ossama Sherif Alexander; Abraham, NL; Abramowicz, H. ; Abreu, H. ; Abulaiti, Y. ; Acharya, B.S.; Adachi, Shin-ichi; Adamczyk, L. ; Adelman, J.; Adersberger, M. ; Adiguzel, A. ; Adye, T. ; Affolder, A. A. ; Afik, Y. ; Besjes, Geert-Jan; Bajic, Milena; Alonso Diaz, Alejandro; de Almeida Dias, Flavia; Dam, Mogens; Hansen, Peter Henrik; Hansen, Jørn Dines; Hansen, Jørgen Beck; Galster, Gorm Aske Gram Krohn; Monk, James William; Petersen, Troels Christian; Thiele, Fabian Alexander Jürgen; Xella, Stefania; Stark, Simon Holm; Wiglesworth, Graig
Risk Reduction Strategies in Early Major Non-Cardiac Surgery after Drug- Eluting Stent Implantation

Percutaneous coronary intervention with stent implantation has become the predominant revascularization strategy for patients with coronary artery disease. To reduce the risk of thrombotic complications, current guideline recommends dual antiplatelet therapy for 12 months after drug-eluting stent implantation. Dilemma arises when post-stent implantation patients have to undergo non-deferrable noncardiac surgery. In this case report, we presented a patient who have received drug-eluting stent implantation to left circumflex artery for myocardial infarction. Before staged percutaneous coronary intervention to a residual high-grade stenosis in the left anterior descending artery, he was diagnosed with renal cell carcinoma requiring nephrectomy. We describe the case of a patient requiring radical nephrectomy after multiple stent implantations and the strategies we adopted to reduce the risks of perioperative complications. The patient subsequently underwent nephrectomy successfully without perioperative myocardial infarction.
Transportation mode detection – an in-depth review of applicability and reliability

ABSTRACT The wide adoption of location-enabled devices, together with the acceptance of services that leverage (personal) data as payment, allows scientists to push through some of the previous barriers imposed by data insufficiency, ethics and privacy skepticism. The research problems whose study require hard-to-obtain data (e.g. transportation mode detection, service contextualisation, etc.) have now become more accessible to scientists because of the availability of data collecting outlets. One such problem is the detection of a user's transportation mode. Different fields have approached the problem of transportation mode detection with different aims: Location-Based Services (LBS) is a field that focuses on understanding the transportation mode in real-time, Transportation Science is a field that focuses on measuring the daily travel patterns of individuals or groups of individuals, and Human Geography is a field that focuses on enriching a trajectory by adding domain-specific semantics. While different fields providing solutions to the same problem could be viewed as a positive outcome, it is difficult to compare these solutions because the reported performance indicators depend on the type of approach and its aim (e.g. the real-time availability of LBS requires the performance to be computed on each classified location). The contributions of this paper are three fold. First, the paper reviews the critical aspects desired by each research field when providing solutions to the transportation mode detection problem. Second, it proposes three dimensions that separate three branches of science based on their main interest. Finally, it identifies important gaps in research and future directions, that is, proposing: widely accepted error measures meaningful for all disciplines, methods robust to new data sets and a benchmark data set for performance validation.
Microscopic description of log and Coulomb
 gases

These are the lecture notes of a course taught at the Park City Mathematics Institute in June 2017. They are intended to review some recent results, obtained in large part with Thomas Lebl\'e, on the statistical mechanics of systems of points with logarithmic or Coulomb interactions. After listing some motivations, we describe the "electric approach" which allows to get concentration results, Central Limit Theorems for fluctuations, and a Large Deviations Principle expressed in terms of the microscopic state of the system.
Integrating loss aversion into a technology acceptance model to assess the relationship between website quality and website user's behavioural intentions

Incorporating the loss aversion concept into the technology acceptance model (TAM), this paper endeavours to investigate the relationship between website quality and website user's behavioural intentions in the travel agency sector. A statistical analysis of the collected questionnaires was computed based on the 1279 usable responses from the selected websites of travel agencies. Structural equation modelling is the essential analysis methodology used to examine the hypothesised relationships among the variables. Joining the loss aversion concept, the results indicate that a decrease in website quality from the website user's expectation will decrease the perceived use of ease and usefulness towards the website and then influence website user's behavioural intentions, but that an increase in website quality has no significant effects on these two TAM constructs. The results also suggest that perceived ease of use, perceived usefulness, and attitude are acting as important mediators within the model. This study demonstrates the effect of asymmetric response of website quality on website user's behavioural intentions. A discussion of the findings including managerial implications is also presented in this paper.