Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Characterization of a Mouse Model for Marburg Hemorrhagic Fever

ABSTRACT The lack of a mouse model has hampered an understanding of the pathogenesis and immunity of Marburg hemorrhagic fever (MHF), the disease caused by marburgvirus (MARV), and has created a bottleneck in the development of antiviral therapeutics. Primary isolates of the filoviruses, i.e., ebolavirus (EBOV) and MARV, are not lethal to immunocompetent adult mice. Previously, pathological, virologic, and immunologic evaluation of a mouse-adapted EBOV, developed by sequential passages in suckling mice, identified many similarities between this model and EBOV infections in nonhuman primates. We recently demonstrated that serially passaging virus recovered from the liver homogenates of MARV-infected immunodeficient (SCID) mice was highly successful in reducing the time to death in these mice from 50 to 70 days to 7 to 10 days after challenge with the isolate MARV-Ci67, -Musoke, or -Ravn. In this study, we extended our findings to show that further sequential passages of MARV-Ravn in immunocompetent mice caused the MARV to kill BALB/c mice. Serial sampling studies to characterize the pathology of mouse-adapted MARV-Ravn revealed that this model is similar to the guinea pig and nonhuman primate MHF models. Infection of BALB/c mice with mouse-adapted MARV-Ravn caused uncontrolled viremia and high viral titers in the liver, spleen, lymph node, and other organs; profound lymphopenia; destruction of lymphocytes within the spleen and lymph nodes; and marked liver damage and thrombocytopenia. Sequencing the mouse-adapted MARV-Ravn strain revealed differences in 16 predicted amino acids from the progenitor virus, although the exact changes required for adaptation are unclear at this time. This mouse-adapted MARV strain can now be used to develop and evaluate novel vaccines and therapeutics and may also help to provide a better understanding of the virulence factors associated with MARV.
Semantical Evaluators

— In the context of a possibilistic framework for detection of object co-reference, evaluators have been deﬁned as operators that compare two values and express the belief that such values are co-referent. Hereby, co-reference of two values means that these values describe the same entity in the real world. In this paper, a class of evaluators is investigated that determines the belief of co-reference based on semantical connections between values of the universe. These semantical connections are modeled by means of binary relations. In case these binary relations are not a-priori given, they can be (partially) learned in an iterative co-reference detection schema.
High sensitivity, high surface area Enzyme-linked Immunosorbent Assay (ELISA).

BACKGROUND Enzyme-linked immunosorbent assays (ELISA) are considered the gold standard in the demonstration of various immunological reactions with an application in the detection of infectious diseases such as during outbreaks or in patient care. OBJECTIVE This study aimed to produce an ELISA-based diagnostic with an increased sensitivity of detection compared to the standard 96-well method in the immunologic diagnosis of infectious diseases. METHODS A '3DStack' was developed using readily available, low cost fabrication technologies namely nanoimprinting and press stamping with an increased surface area of 4 to 6 times more compared to 96-well plates. This was achieved by stacking multiple nanoimprinted polymer sheets. The flow of analytes between the sheets was enhanced by rotating the 3DStack and confirmed by Finite-Element (FE) simulation. An Immunoglobulin G (IgG) ELISA for the detection of antibodies in human serum raised against Rubella virus was performed for validation. RESULTS An improved sensitivity of up to 1.9 folds higher was observed using the 3DStack compared to the standard method. CONCLUSIONS The increased surface area of the 3DStack developed using nanoimprinting and press stamping technologies, and the flow pattern between sheets generated by rotating the 3DStack were potential contributors to a more sensitive ELISA-based diagnostic device.
Early experience with the distributed nebula cloud

Current cloud infrastructures are important for their ease of use and performance. However, they suffer from several shortcomings. The main problem is inefficient data mobility due to the centralization of cloud resources. We believe such clouds are highly unsuited for dispersed-data-intensive applications, where the data may be spread at multiple geographical locations (e.g., distributed user blogs). Instead, we propose a new cloud model called Nebula: a dispersed, context-aware, and cost-effective cloud. We provide experimental evidence for the need for Nebulas using a distributed blog analysis application followed by the system architecture and components of our system.
Automatic mapping of tectonic lineaments (faults) using methods and techniques of Photointerpretation / Digital Remote Sensing and Expert Systems

Lineament photointerpretation is a quite subjective process, requires expertise, training, scientific skills and is time consuming and expensi ve. Therefore, the need arises for automation of photointerpretation in order to reduc e subjectivity and to help the analysts. This can be achieved using computer-assis ted techniques, e.g. image processing and analysis techniques, pattern recogni ti n and expert systems.
A Dynamic Theory of Network Failure: The Case of the Venice Film Festival and the Local Hospitality System

Organizational and sociological research dealing with network governance has mainly focused on network advantages rather than on their problems or dysfunctionalities. This focus has left the field of network failure partially unexplored. We argue that although there have been some attempts to explicitly theorize network failures, the existing explanations, which are based on structural or social conditions, are not exhaustive. In this article we report the results of our empirical investigation on an underperforming network formed by the world-famous Venice Film Festival and its local hospitality system. We inductively derive a dynamic theory of network failure premised on the interplay of the network’s static dimensions (opportunism and ignorance) and dynamic dimensions (framing and mobilizing), and the role of institutions.
A Multiwavelength Radial Velocity Search for Planets around the Brown Dwarf LP 944-20

The nearby brown dwarf LP 944-20 has been monitored for radial velocity variability at optical and near-infrared wavelengths using the VLT/UVES and the Keck/NIRSPEC, respectively. The UVES radial velocity data obtained over 14 nights spanning a baseline of 841 days show significant variability with an amplitude of 3.5 km s-1. The periodogram analysis of the UVES data indicates a possible period between 2.5 and 3.7 hr, which is likely due to the rotation of the brown dwarf. However, the NIRSPEC data obtained over 6 nights show an rms dispersion of only 0.36 km s-1 and do not follow the periodic trend. These results indicate that the variability seen with UVES is likely to be due to rotationally modulated inhomogeneous surface features. We suggest that future planet searches around very low mass stars and brown dwarfs using radial velocities will be better conducted in the near-infrared than in the optical.
A Study on Counter Design using Sequential Systems based on Synchronous Techniques

This paper presents a method of design the counter using sequential system based on synchronous techniques. For the design the counter, first of all, we derive switching algebras and their operations. Also, we obtain the next-state functions, flip-flop excitations and their input functions from the flip-flop. Then, we propose the algorithm which is a method of implementation of the synchronous sequential digital logic circuits. Finally, we apply proposed the sequential logic based on synchronous techniques to counter.
A Cloud Architecture for Managing IoT-aware Applications According to Knowledge Processing Rules

The Web of Things paradigm has represented a shift in the conjunction of the Internet of Things (IoT) with people, as it allows treating a smart object as a Web resource. While in a first phase the challenge was the physically management of smart objects, the current demand is to help users in profitably introducing IoT in their own daily life. The paper presents a software architecture for IoT systems able to manage the behaviour of involved IoT entities basing on knowledge processing tools. The main goal is informing the user of the occurrence of events of interest semantically determined starting from actual state of the environment. The architecture exploits the potentialities of the Web of Topics (WoX) approach, a conceptual model that simplifies the designing of IoT applications. Leveraging the WoX approach, the architecture introduces an innovative way to mine knowledge from IoT devices aside from any technological background, so that facing the intrinsic heterogeneity affecting IoT entities. The discussed architecture is composed by different modules integrated into an Enterprise Service Bus (ESB), strongly decoupled and provided with RESTful-compliant web interfaces to communicate each other and with the external environment, according to a SOA structure. The paper shows how the system is able to receive data coming from sensors and to semantically interpret them by means of a series of business rules that act as knowledge processor.
Connecting multimodality in human communication

A successful reciprocal evaluation of social signals serves as a prerequisite for social coherence and empathy. In a previous fMRI study we studied naturalistic communication situations by presenting video clips to our participants and recording their behavioral responses regarding empathy and its components. In two conditions, all three channels transported congruent emotional or neutral information, respectively. Three conditions selectively presented two emotional channels and one neutral channel and were thus bimodally emotional. We reported channel-specific emotional contributions in modality-related areas, elicited by dynamic video clips with varying combinations of emotionality in facial expressions, prosody, and speech content. However, to better understand the underlying mechanisms accompanying a naturalistically displayed human social interaction in some key regions that presumably serve as specific processing hubs for facial expressions, prosody, and speech content, we pursued a reanalysis of the data. Here, we focused on two different descriptions of temporal characteristics within these three modality-related regions [right fusiform gyrus (FFG), left auditory cortex (AC), left angular gyrus (AG) and left dorsomedial prefrontal cortex (dmPFC)]. By means of a finite impulse response (FIR) analysis within each of the three regions we examined the post-stimulus time-courses as a description of the temporal characteristics of the BOLD response during the video clips. Second, effective connectivity between these areas and the left dmPFC was analyzed using dynamic causal modeling (DCM) in order to describe condition-related modulatory influences on the coupling between these regions. The FIR analysis showed initially diminished activation in bimodally emotional conditions but stronger activation than that observed in neutral videos toward the end of the stimuli, possibly by bottom-up processes in order to compensate for a lack of emotional information. The DCM analysis instead showed a pronounced top-down control. Remarkably, all connections from the dmPFC to the three other regions were modulated by the experimental conditions. This observation is in line with the presumed role of the dmPFC in the allocation of attention. In contrary, all incoming connections to the AG were modulated, indicating its key role in integrating multimodal information and supporting comprehension. Notably, the input from the FFG to the AG was enhanced when facial expressions conveyed emotional information. These findings serve as preliminary results in understanding network dynamics in human emotional communication and empathy.
SURgical interventions with FEIBA (SURF): international registry of surgery in haemophilia patients with inhibitory antibodies

Factor VIII Inhibitor Bypassing Activity (FEIBA) can effectively achieve haemostasis in haemophilia patients with inhibitors. Further evaluation of FEIBA in surgical settings is of significant interest considering the relatively limited prospective data published to date. The aim of the study is to evaluate the perioperative efficacy and safety of FEIBA in haemophilia patients with inhibitors. Haemophilia patients with inhibitors who underwent surgical procedures and received FEIBA for perioperative haemostatic control were prospectively enrolled in an open‐label, noninterventional, postauthorization study [SURgical interventions with FEIBA (SURF)]. Outcome measures included haemostatic efficacy, safety, FEIBA exposure and blood loss associated with the perioperative use of FEIBA. Thirty‐five surgical procedures were performed at 19 centres worldwide in patients with congenital haemophilia A, congenital haemophilia B, or acquired haemophilia A. Haemorrhagic risk was severe in 37.1% (13 of 35) of the procedures, moderate in 25.7% (9 of 35) and mild in 37.1% (13 of 35). One moderate risk surgery was excluded from the efficacy analyses because it did not meet all protocol requirements. Haemostasis was judged to be ‘good’ or ‘excellent’ in 91.2% (31 of 34) of surgical procedures and ‘fair’ in 8.8% (3 of 34). Among the 12 adverse events, three were serious adverse events (SAEs), two of which were unrelated to FEIBA therapy; one SAE, a clot in an arteriovenous fistula, was deemed to be possibly related to therapy. This prospective investigation confirms that FEIBA can be safely and effectively used when performing surgical procedures in haemophilia patients with inhibitors.
Using Assumptions in Service Composition Context

Service composition aims to provide the efficient and accurate model of a service, based on which the global service oriented architecture (SOA) can be realized, allowing the value-added services to be generated on the fly. Because of distributed responsibilities, ownership, and control, often, it is not feasible to acquire all information needed for the service composition, thus there might be no guarantee that the service execution has an anticipated effect. In this paper, we are going to extend current semantic Web service description by introducing the concept of "service assumption" which allows reasoning with incomplete information. Furthermore, together with the proposed service assumption, a sequence of rules is developed to describe all permitted behaviors in service composition context
Technique for Searching of Similar Code Segments

In this paper, we will be studying about various artifacts and constructs about many tools to help developer in their task of developing. These tools will try to fulfill the basic need of any developer which is to have similar code segments to help him to reduce his efforts. For this we have various tools available in market. After reading this paper the developer will be able to choose the best suitable code detection tool for his work. Index Terms— Artifacts, Code detection, Code segment, Constructs.
Multi-Document Extractive Summarization Using Window-Based Sentence Representation

Multi-document summarization has gained popularity in many real world applications because significant information can be obtained within a short time. Extractive summarization aims to generate a summary of a document or a set of documents by ranking sentences, whose performance relies heavily on the quality of sentence features. However, almost all previous algorithms require hand-crafted features for sentence representation. In this paper, we leverage on word embedding to represent sentences so as to avoid the intensive labor of feature engineering. We propose a new technique, namely window-based sentence representation (WSR), to obtain the features of sentences using pre-trained word vectors. The method is developed based on the Extreme Learning Machine (ELM). Our proposed framework does not require any prior knowledge and therefore can be applied to various document summarization tasks with different languages, written styles and so on. We evaluate our proposed method on the DUC 2006 and 2007 datasets. This proposed method achieves superior performance compared with state-of-the-arts document summarization algorithms with a much faster learning speed.
Adult Ependymal Cells Are Postmitotic and Are Derived from Radial Glial Cells during Embryogenesis

Ependymal cells on the walls of brain ventricles play essential roles in the transport of CSF and in brain homeostasis. It has been suggested that ependymal cells also function as stem cells. However, the proliferative capacity of mature ependymal cells remains controversial, and the developmental origin of these cells is not known. Using confocal or electron microscopy (EM) of adult mice that received bromodeoxyuridine (BrdU) or [3H]thymidine for several weeks, we found no evidence that ependymal cells proliferate. In contrast, ependymal cells were labeled by BrdU administration during embryonic development. The majority of them are born between embryonic day 14 (E14) and E16. Interestingly, we found that the maturation of ependymal cells and the formation of cilia occur significantly later, during the first postnatal week. We analyzed the early postnatal ventricular zone at the EM and found a subpopulation of radial glia in various stages of transformation into ependymal cells. These cells often had deuterosomes. To directly test whether radial glia give rise to ependymal cells, we used a Cre-lox recombination strategy to genetically tag radial glia in the neonatal brain and follow their progeny. We found that some radial glia in the lateral ventricular wall transform to give rise to mature ependymal cells. This work identifies the time of birth and early stages in the maturation of ependymal cells and demonstrates that these cells are derived from radial glia. Our results indicate that ependymal cells are born in the embryonic and early postnatal brain and that they do not divide after differentiation. The postmitotic nature of ependymal cells strongly suggests that these cells do not function as neural stem cells in the adult.
Preparing for GBit/s coverage in 5G: Massive MIMO, PMC packaging by gap waveguides, OTA testing in random-LOS

In this invited presentation I describe how we prepare for 5G in my research division. The background is that we have contributed to 3G and 4G developments with two commercial successes: the hat-fed reflector antenna for backhaul radio links, and Bluetest reverberation chambers for OTA (Oer-The-Air) characterization of devices with MIMO and OFDM. 5G means Gbit/s data rates, for which higher frequencies are needed towards the user terminal, may be up to 30 or 60 GHz. This means that the multipath will be weaker as it gradually diminishes when frequency increases. Therefore, we prepare by introducing a Random-LOS (RLOS) complement to the OTA testing in Rich Isotropic Multipath (RIMP) being provided by Bluetest's reverberation chambers. Further, high gain steerable beams will be needed, requiring new planar packaging solutions for closer integration of antennas and RF chipsets. Therefore, we prepare by research on gap waveguides. Massive MIMO have many technological uncertainties, so others also consider old-fashioned phased arrays, but they will not work in RIMP. The best hardware can only be chosen if we know how to characterize the system performance. The radiation pattern and realized gain cannot be used directly for this purpose due to all the statistical variations caused by the arbitrariness of the user. Therefore, we introduce instead the Probability of Detection (PoD) as a quality metric. This will be different for each desired number of bitstreams. Further, we quantify the difference between different PoD curves in dBiid in RIMP, i.e. in dB relative to the i.i. d. (idependent identically distributed) case, and in dBt in RLOS, i.e. in dB relative to an ideal polarization- and coverage- matched threshold receiver. The presentation will give an overview of this research.
Implementing assisted navigation in hybrid sensor networks

In hybrid sensor networks (HSNs) one or more mobile sensor nodes can interact with other mobile sensor nodes or static ones in order to collaboratively perform specific tasks. Such networks can support applications in which assisted navigation is implemented for mobile sensor nodes that carry out requested operations through a monitored environment. To this end, several assisted navigation algorithms have been proposed within the HSNs scope with the goal of overcoming the typical problems of classic sensor networks (SNs), such as limited transmission power and lean autonomy in terms of computing and memory capacity. Nevertheless, the distributed and highly dynamic nature of such algorithms still makes their implementation in a real scenario a difficult task. In this paper we present an improved version of the assisted navigation algorithm based on the "credit field" concept. The algorithm has been designed for HSNs and implemented in Agilla, a middleware running on top of TinyOS and supporting a programming paradigm based on mobile agents. The implementation has been tested on a HSN that employs Mica2 Motes as static sensor nodes and the Lego Mindstorms robot integrated with a Stargate node developed by Crossbow as a mobile sensor node.
Design and concept of a haptic robotic telerehabilitation system for upper limb movement training after stroke

Robotic therapy devices have been an important part of clinical neurological rehabilitation for several years. Until now such devices are only available for patients receiving therapy inside rehabilitation hospitals. Since patients should continue rehabilitation training after hospital discharge at home, intelligent robotic rehab devices could help to achieve this goal. This paper proposes a novel multimodal home therapy concept and robot based system for motor telerehabilitation which is currently being further developed. The system is based on two haptic rehabilitation devices i) the Bi-Manu-Track (BMT) 2×1 DOF robotic haptic rehabilitation device with assist-as-needed control algorithms and ii) an enhanced version of the 3 DOF passive Reha-Slide system. The paper describes the technical system setup as well as user centered design aspects.
The Impact of Non-coherent Buffers on Lazy Hardware Transactional Memory Systems

When supported in silicon, transactional memory (TM) promises to become a fast, simple and scalable parallel programming paradigm for future shared memory multiprocessor systems. Among the multitude of hardware TM design points and policies that have been studied so far, lazy conflict resolution designs often extract the most concurrency, but their inherent need for lazy versioning requires careful management of speculative updates. In this paper we study how coherent buffering, in private caches for example, as has been proposed in several hardware TM proposals, can lead to inefficiencies. We then show how such inefficiencies can be substantially mitigated by using complete or partial non-coherent buffering of speculative writes in dedicated structures or suitably adapted standard per-core write-buffers. These benefits are particularly noticeable in scenarios involving large coarse grained transactions that may write a lot of non-contended data in addition to actively shared data. We believe our analysis provides important insights into some overlooked aspects of TM behaviour and would prove useful to designers wishing to implement lazy TM schemes in hardware.