Miracle-dz/UniFAR-FTUs huggingface dataset:
Unique association of Lhermitte–Duclos disease and frontal encephalocele

Lhermitte–Duclos disease, also known as dysplastic gangliocytoma of the cerebellum, is an extremely rare cerebellar tumor characterized by an enlargement of cerebellar folia. Its etiology remains controversial. Imaging modalities, especially magnetic resonance imaging, contribute to establish a correct and accurate diagnosis with pre and postoperative assessment. The characteristic “tiger striping” appearance is pathognomonic. The recognition of this unusual and benign condition is particularly important, given the possible association with Cowden’s syndrome and therefore the need to identify concurrent malignancies.To our knowledge, we describe a rare and unique presentation of histologically proven Lhermitte–Duclos disease associated with a frontal encephalocele surgically treated.
Laser Sintering of TiO 2 Films for Flexible Dye-Sensitized Solar Cells

In this study, laser sintering of TiO2 nanoparticle films on plastic substrates was conducted in order to improve the incident photon-to-electron conversion efficiency (IPCE) of flexible dye-sensitized solar cells (DSCs). Lasers with different wavelengths (355 nm and 1064 nm) were used to process the TiO2 electrodes. With an optimized processing parameter combination, the 1064 nm laser can sinter 13 μm thick TiO2 films uniformly, but the uniform sintering cannot be achieved by the 355nm ultraviolet (UV) laser, since the films possess a high absorption ratio at 355 nm. The experimental results demonstrate that the near-infrared laser sintering can enhance the electrical connection between TiO2 nanoparticles without destroying the flexible plastic substrate, reduce the transmission impedance of electrons and increase the absorption rate of incident light. Furthermore, the charge collection efficiency, fill factor, and short-circuit current have all been improved to some extent, and the solar conversion efficiency increased from 4.6% to 5.7%, with an efficiency enhancement reaching 23.9%.
Characterization of a Transposon Tn 5-Generated Mutant of Yersinia pestis Defective in Lipooligosaccharide Biosynthesis MINI-Tn 5 MUTAGENESIS OF Yersinia pestis

To identify Yersinia pestis genes involved in the microbe’s resistance to cationic antimicrobial peptides, the strategy of random transposon mutagenesis with a Tn5 minitransposon was used, and the library was screened for detecting polymyxin B (PMB) susceptible mutants. The mutation responsible for PMB-sensitive phenotype and the lipopolysaccharide (LPS) structure were characterized for the Y. pestis strain KM218-A3. In this strain the mini-Tn5 was located in an open reading frame with the product homologous to the E. coli protein GmhB (82% identity) functioning as Dglycero-D-manno-heptose-1,7-diphosphate phosphatase. ESI FT ICR mass spectrometry of anions was used to study the structure of the unmodified LPS of Y. pestis KM218A3, and molecules were revealed with the full-size LPS core or with two types of an incomplete core: consisting of Kdo-Kdo or Ko-Kdo disaccharides and Hep-(Kdo)-Kdo or Hep-(Ko)-Kdo trisaccharides. The performed complementation confirmed that the defect in the biological properties of the mutant strain was caused by inactivation of the gmhB gene. These findings indicated that the gmhB gene product of Y. pestis is essential for production of wild-type LPS resistant to antimicrobial peptides and serum.
Method and system for disciplining a local reference oscillator by GPS 1 PPS signal

This article presents an algorithm and system for synchronizing a local OCXO reference generator to an one-pulse-per-second (1PPS) GPS clock reference signal. The generator system flowchart and the structure of the program performing the synchronization process are discussed. Appropriate measurement system, which allows assessment of obtained results, is also presented and measurement results are shown. Streszczenie. W artykule przedstawiono algorytm dyscyplinujący lokalny generator wzorcowy OCXO względem sygnału sekundowego 1PPS systemu nawigacyjnego GPS. Omówiono metodę i układ do synchronizacji generatora oraz odpowiedni układ pomiarowy do kontroli procesu tej synchronizacji. Zaprezentowano uzyskane wyniki pomiarów. (Metoda i układ do dyscyplinowania lokalnego generatora wzorcowego względem sygnału 1PPS systemu GPS).
Representing, Organizing and Reusing Knowledge About Functional and Non-Functional Concerns During Software Development

The quality of a software system largely depends on how good, or bad, the various development decisions are, during just about any phase of software lifecycle. The quality of development decisions in turn would depend on what kind of alternatives are explored, what kind of trade-offs are analyzed, and how a particular selection is made for the software system. Usually, however, the process of decision making is carried out only informally, where the knowledge and rationale that led to the decision are not explicitly documented. This makes it difficult for others to understand why certain decisions were made and also to reuse the knowledge in future projects in a systematic manner. This paper presents a goal-oriented methodology for explicitly representing, organizing and reusing the variety of knowledge of development alternatives, along with their trade-offs. In this methodology, non-functional characteristics, such as performance and security, are treated as (soft) goals to be achieved and act as the criteria to select among the alternatives for meeting functional concerns. The methodology is illustrated using the implementation of a class association as an example.
11 Microbial communities in the phyllosphere

The term phyllosphere was coined by Last (1955) and Ruinen (1956) to describe the plant leaf surface as an environment that is physically, chemically and biologically distinct from the plant leaf itself or the air surrounding it. The term phylloplane has been used also, either instead of or in addition to the term phyllosphere. Its twodimensional connotation, however, does not do justice to the three dimensions that characterise the phyllosphere from the perspective of many of its microscopic inhabitants. On a global scale, the phyllosphere is arguably one of the largest biological surfaces colonised by microorganisms. Satellite images have allowed a conservative approximation of 4 × 108 km2 for the earth’s terrestrial surface area covered with foliage (Morris and Kinkel, 2002). It has been estimated that this leaf surface area is home to an astonishing 1026 bacteria (Morris and Kinkel, 2002), which are the most abundant colonisers of cuticular surfaces. Thus, the phyllosphere represents a significant refuge and resource of microorganisms on this planet. Often-used terms in phyllosphere microbiology are epiphyte and epiphytic (Leben, 1965; Hirano and Upper, 1983): here, microbial epiphytes or epiphytic microorganisms, which include bacteria, fungi and yeasts, are defined as being capable of surviving and thriving on plant leaf and fruit surfaces. Several excellent reviews on phyllosphere microbiology have appeared so far (Beattie and Lindow, 1995, 1999; Andrews and Harris, 2000; Hirano and Upper, 2000; Lindow and Leveau, 2002; Lindow and Brandl, 2003). This chapter aims to provide a brief but broad and updated synthesis of research activities and findings related to phyllosphere microbiology. As the next chapter in this volume (Chapter 12) will focus in greater detail on phyllosphere fungi, the present chapter is biased, in some sections at least, towards bacterial colonisers of the leaf surface.
Multi-Lookahead Offset Prefetching

Offset prefetching has been recently proposed as a lowoverhead yet high-performance approach to eliminate data cachemisses or reduce their negative effect. In offset prefetching, whenever a cache block (e.g., A) is requested, the cache block that is distanced by k cache blocks (e.g., A + k) is prefetched, where k is the prefetch offset. This type of data prefetching imposes minimal storage overhead and has been shown quite effective for many important classes of applications. In this work, we find that prior proposals for offset prefetching either neglect timeliness or sacrifice miss coverage for timeliness when choosing the prefetch offset. To overcome the deficiencies of prior offset prefetchers, we propose Multi-Lookahead Offset Prefetcher (MLOP), a new mechanism for offset prefetching that considers both miss coverage and timeliness when issuing prefetch requests. MLOP, like prior proposals, evaluates several offsets and allows the qualified offsets to issue prefetch requests; however, unlike them,MLOP considers multiple prefetching lookaheads during the evaluation of prefetch offsets.MLOP uses a lightweight hardware structure, composed of a small storage and a simple logic, to identify the prefetching offsets that could have covered a specific cache miss with various prediction lookaheads. Based on this, MLOP assigns scores to the prefetch offsets and for each lookahead, selects the highest scoring offset for issuing prefetch requests. We evaluate and compare MLOP with various recent state-of-the-art data prefetchers and show that our proposal improves system performance by 30% over a system with no data prefetcher and by 4% over the previous best-performing data prefetcher.
Polarization and Echo Chambers : A Logical Analysis of Balance and Triadic Closure in Social Networks

Motivated by the danger of polarization and echo chambers in social networks, we develop several logics to analyze the social phenomena balance, triadic closure and homophily. We first expand on a logical framework known from the literature with several intentions in mind. To explore measures of how far a network is from polarization, we consider and compare a variation of distances between models in relation to balance. We introduce additional modalities to the language of positive and negative relations logic to define previously undefinable frame properties in the original work. We also include dynamic operators in this framework to investigate change in networks with respect to polarization. Then we move away from balance and present tied logic: a hybrid logic of strong and weak ties. We provide an axiomatization, prove soundness and strong completeness and relate our results to analyzing echo chambers. Inspired by work on social group formation we define a subclass of threshold frames in which relations are justified on the basis of features agents in a network share. Lastly, we extend tied logic with epistemic states and dynamic and epistemic modalities to examine the interplay between change and knowledge in networks of strong and weak ties.
PAPR and PICR Reduction of OFDM Signals with Clipping Noise-based Tone Injection Scheme

Orthogonal abundance associate multiplexing (OFDM) sicken a pointy apogee-to-average sovereignty dating (PAPR). Tone dram (TI) extends the precise fashion to many similar factors just so the above-mentioned supplementary exemption ranges might be overworked for the PAPR curtailment. However, A1 TI requires an all-encompassing are seeking bygone all you can still predestinations, it really is a annoying detached multiplication puzzler. To cope with right here thriller, a modern TI device that one uses the component buzz find the highest commensurate over punch scopious futures and hexadic sorts is expected. By minimizing the promise rounding misunderstanding of 1's slicing blast and you can still parallel instances, the submitted blueprint can with out issue training session the scale and status of one's high-quality obverse goals. Secondly, a brand new TI plan is likewise familiar with in order to lower the nonlinear mutilation inside the cool of law amplifying device. This ploy takes the root-recommend-rectangular acme interference-to-service equation (PICR) degradation because the mark to realise a higher bit false impression count (BER) performance. Simulation results display the only in query to obtain a contoprable machine overall performance, the entreated TI styles simplest need eighteen rapid Fourier transforms (FFTs), at the same time as various TI and partial transmit sequence (PTS) situations want hundreds of FFTs.
Data-Centric Resource Management in Edge-Cloud Systems for the IoT

A major challenge in emergent scenarios such as the Cloud-assisted Internet of Things is efficiently managing the resources involved in the system while meeting requirements of applications. From the acquisition of physical data to its transformation into valuable services or information, several steps must be performed, involving the various players in such a complex ecosystem. Support for decentralized data processing on IoT devices and other devices near the edge of the network, in combination with the benefits of cloud technologies has been identified as a promising approach to reduce communication overhead, thus reducing delay for time sensitive IoT applications. The interplay of IoT, edge and cloud to achieve the final goal of producing useful information and value-added services to end user gives rise to a management problem that needs to be wisely tackled. The goal of this work is to propose a novel resource management framework for edge-cloud systems that supports heterogeneity of both devices and application requirements. The framework aims to promote the efficient usage of the system resources while leveraging the Edge Computing features, to meet the low latency requirements of emergent IoT applications. The proposed framework encompasses (i) a lightweight and data-centric virtualization model for edge devices, (ii) a set of components responsible for the resource management and the provisioning of services from the virtualized edge-cloud resources.
Blast Features and Requirements for Fracturing Osseous Models

Fracturing osseous models is a challenge in computer graphics. The generation of bone fractures is important in the ﬁeld of traumatology mainly for training. This ﬁeld of research can provide specialists with a rich and varied amount of fracture cases. Traditionally, the generation of bone fractures has been carried out by using a ﬁnite element method (FEM) approach. Nevertheless, this approach requires a precise physical information of the model and the incoming forces that are not usually available. Thus, we propose a geometric approach to avoid these initial requirements. This paper evaluates the adequacy of a given generic destruction library (Blast) within the bone fracture generation context. Our aim is to assess its suitability to provide varied, uncommon cases and morphologically rich fractures in the ﬁeld of bone fractures. In order to achieve quality results, bone models are evaluated at different scales, spanning from the macroscale to the nanoscale. This study highlights the advantages and shortcomings of the revised library. Additionally, it provides a groundwork for the use of this library in the context of fracturing osseous models as well as a set of addons needed to get a tool speciﬁcally designed for this aim.
Navigation through the Meaning Space of HUMINT Reports

The new deployments of the German Federal Armed Forces cause the necessity to analyze large quantities of Human Intelligence (HUMINT) reports. These reports are characterized by a large topical and linguistic variety. Therefore, they are good candidates for applying natural language processing techniques. In this paper, an approach to realize a graphical navigation through the meaning of HUMINT reports is presented. This meaning space navigation is realized as a graphically navigatable Entity-Action-Network and is part of the ZENON project. In this project an information extraction approach is used for the (partial) content analysis of English HUMINT reports from the KFOR (Kosovo Force) deployment of the Bundeswehr. The information about the actions and named entities are identified from each sentence and the content of the sentences is represented in formal structures. These structures can be combined and presented in the network. After a short introduction, the information extraction as an approach to process natural language and the ZENON project are explained. In the main part of the paper, the navigation through the meaning space of HUMINT reports is described in detail. Different techniques for doing this are presented. The Information Extraction Presentation System is used to realize the Entity-Action-Network. This presentation system is introduced and various examples are given.
Depolarization, Repolarization and Redistributive Ideological Change in Britain, 1983–2016

Abstract This article examines party sorting, elite cue and ideological polarization accounts of polarization dynamics. The study tests their differing expectations about trends in redistributive ideological polarization and partisan polarization in the British case using repeated cross-section and panel data. The authors reject party sorting accounts, which require ideology to be stable and changes in party support to drive partisan polarization, because they find that ideology trends with elite polarization and that ideological change causes partisan polarization. The authors reject elite cue accounts, which maintain that it is mainly partisans’ ideology that follows elite polarization, because they find virtually identical trends for initially ideologically similar non-partisans too. The study thus finds support for an ideological polarization account in which changes in elite polarization are associated with general changes in citizen redistributive ideology.
Characterization of Biosurfactant Producing Bacteria Isolated From Petroleum Contaminated Sites

Petroleum derived hydrocarbons acts as a persistent contaminant of the soil and aquatic environment. Recent year's biosurfactant plays a vital role to solve this issue. Petroleum contaminated sites may harbor the microorganisms capable of degrading the hydrocarbons by producing extracellular products. Present study focused on to isolate and enriches the biosurfactant producing bacteria from such sites. So far petroleum contaminated soil samples were collected and processed to screen out the biosurfactant producing bacteria using surface tension measurement, drop collapse test, oil emulsion test, blood hemolysis etc. Out of 30 soil samples 18 different bacteria were isolated of which one Gram +ve bacterium was selected and processed further using different waste oil as source of carbon. Optimization study of the produced biosurfactant was done and GC-MS analysis of extracted and purified biosurfactant was done. The isolate shows an excellent biosurfactant activity when vegetable oil was used as substrate, while the moderate activity was recorded when waste engine oil was used as substrate. On the basis of the results of biochemical and 16S rRNA sequencing the isolate was identified as Aneurinibacillusmigulanus (G1) and further submitted to gene bank with accession number JQ337949. Result of study reveals that the isolate is able to produce biosurfactant efficiently from waste oil and will probably be used as alternative to chemical surfactant and suggest possible use in remediation of polluted sites.
In vitro anti-amylase activity of some Indian dietary spices

Pancreatic alpha amylase (PAA) inhibitory activity of cinnamon, cumin, was evaluated in vitro to search new anti-diabetic agents as alternatives to synthetic medicines. Bark of cinnamon, seeds of cumin, fenugreek, nutmeg and fennel, buds of clove were extracted with hot water, methanol, chloroform, benzene and ethyl acetate and 30 extracts were tested for presence of PAA inhibitory activity using qualitative and quantitative methods and their modes of inhibition were determined. Presence of alpha amylase inhibitors were identified in 18 extracts in quantitative assay. Benzene extracts of cinnamon, clove, fenugreek and nutmeg and chloroform extract of cumin showed highest anti-amylase potential with IC50 values ranged between 2. 09Â±0.12 - 2. 89Â±0.079 mg/ml. All these extracts displayed non-competitive mode of inhibition on amylase activity as determined in terms of changes in Vmax and km values. In conclusion, active constituents of these five extracts possess anti-diabetic properties and can be used in management of diabetes mediated complications.
Controllable hydrothermal growth of Fe 2 O 3 / GO wrapped nanocomposites and its sustainable applications

We report the synthesis of a new range of iron oxide-graphene and nano-composites at different reaction temperatures for improved photocatalytic and biological application purposes. Effectively synthesized by hydrothermal method, a graphene sheet is prepared by modified Hummer’s method and was wrapped to iron oxide surface. Further insights into the nanoparticles, chemical composition, morphology and micro-structural features of the materials were characterized by X-ray diffractometer, Fourier transform infrared spectroscopy, Dynamic light scattering, Scanning electron microscopy, Energy dispersive spectroscopy, BET surface area and X-ray spectroscopy, etc. The nanoparticles were found to have crystalline iron oxides with a mixture of magnetite and maghemite crystalline phases with graphene wrap. Magnetic analysis by vibrating sample magnetometer showed that the nanoparticles are ferrimagnetic. The structural and magnetic properties of the nanoparticles are found to be dependent on the nanoparticle sizes which are substantially affected by the reaction temperature and particular time log. A range of environmental clean-up technologies have been proposed for wastewater treatment which applied iron oxide composite with graphite oxide wrapped nanomaterials act as nanosorbents and photocatalysts. Moreover, iron oxide and graphene-based immobilization technology for enhanced removal efficiency tend to be an innovative research point. This work is outlined the latest applications of Fe2O3/GO nano-materials with different temperature for wastewater treatment, photocatalysis, bacterial degradation and biological screening applications.