Miracle-dz/UniFAR-FTUs huggingface dataset:
Facile preparation of superhydrophilic and underwater superoleophobic mesh for oil/water separation in harsh environments

Abstract An effective solution to separate oil and water is urgently needed owing to the increasingly serious problem of oil pollution. Numerous studies have been done to endow ordinary materials with extreme wettability for oil/water separation. Unfortunately, most of these materials cannot work in harsh environments, resulting in the low stability and practicability in practice. Herein, a facile method was proposed to fabricate superhydrophilic and underwater superoleophobic mesh by immersing ordinary mesh in a mixture of sulfuric acid (H2SO4) and chromium trioxide (CrO3). After immersing for just 1 min, the mesh was endowed with superhydrophilicity (CA = 0°) and underwater superoleophobicity (hexane CA = 151°, SA = 14°). Increasing the immersion time to 3 min, the prepared mesh exhibited better superoleophobicity. A separation device was developed based on the prepared mesh and the separation efficiencies for diverse oil/water mixtures containing acid, alkaline, salt and hot water were above 95%. The device retained a high efficiency after being reused for 20 times and the prepared mesh maintained superoleophobicity after immersing underwater for 72 h and abrasion test of 100 cycles. This oil/water separation method is easy-to-use, inexpensive, power-free and it can be used to separate caustic oil/water mixtures. GRAPHICAL ABSTRACT
P-RANK : Efficient Ranked Keyword Search Using P-tree

Nowadays, XML is becoming the standard for electronic information representation and exchange in our lives. Access to information presented in hyperlinked XML documents and other formats have always been in demand by users. In this paper, we describe the architecture, implementation, and evaluation of the P-RANK system built to address the requirement for efficient ranked keyword search over hyperlinked XML documents. Our contributions include presenting a new efficient keyword search system using a genuine data structure called the P-tree, a novel ranking method based on dimension rank voting, and a fast rank sorting method using the EIN-ring.
Low Complexity Reconfigurable Fast Filter Bank for Multi-Standard Wireless Receivers

In this paper, we propose a new uniform filter bank (FB) based on the improved coefficient decimation method (ICDM). In the proposed FB’s design, the ICDM is used to obtain different multi-band frequency responses using a single low pass prototype filter. The desired sub bands are individually obtained from these multi-band frequency responses by using low order frequency response masking filters and their corresponding ICDM output frequency responses. We show that the proposed FB is a very low complexity alternative to the other FBs in literature, especially the widely used discrete Fourier transform based FB (DFTFB) and the CDM based FB (CDFB). The proposed low-pass MFT-VDF offers unabridgedcontrol over the cutoff frequency on a wide frequency range thereby,improving the cutoff frequency range of existing VDFs. The design example shows that the RFFB is easy to design and offers substantial savings in gate counts over other filter banks.
Structural Modifications at the C-4 Position Strongly Affect the Glucuronidation of 6,7-Dihydroxycoumarins

Esculetin (6,7-dihydroxycoumarin) and its C-4 derivatives have multiple pharmacologic activities, but the poor metabolic stability of these catechols has severely restricted their application in the clinic. Glucuronidation plays important roles in catechols elimination, although thus far the effects of structural modifications on the metabolic selectivity and the catalytic efficacy of the human UDP-glucuronosyltransferase (UGT) enzymes remain unclear. This study was aimed at exploring the structure-glucuronidation relationship of esculetin and its C-4 derivatives, including 4-methyl esculetin, 4-phenyl esculetin, and 4-hydroxymethyl esculetin as well as 4-acetic acid esculetin. It was achieved by identifying the main human UGTs responsible for the different reactions and by careful characterization of the reactions kinetics. These catechols, with the exception of 4-acetic acid esculetin, are selectively metabolized to the corresponding 7-O-glucuronides. UGT1A6 and UGT1A9 are the two major UGTs involved in the 7-O-glucuronidation of 4-methyl esculetin and esculetin. UGT1A6 was the major contributor for 7-O-glucuronidation of 4-hydroxymethyl esculetin, and UGT1A9 played a significant role in the 7-O-glucuronidation of 4-phenyl esculetin. The results of the kinetic analyses revealed that the Km values of the compounds, in both UGT1A9 and human liver microsomes, decreased with increasing hydrophobicity of the C-4 substitutions. The outcome of this was that C-4 hydrophobic and hydrophilic groups on 6,7-dihydroxycoumarin exhibited contrasting effects on UGT affinity. All of these findings provide helpful guidance for further structural modification of 6,7-dihydroxycoumarins with improved metabolic stability.
The Triumph of Social Privacy: Understanding the Privacy Logics of Sharing Behaviors Across Social Media

Current scholarship positions privacy as something that is networked and complex, shifting away from ideas of privacy as individualized and control oriented. Drawing from a small sample of in-depth research using media diaries, interviews, and a small survey ( N = 270) of London, United Kingdom, residents 18–37 years of age, this research examines the tensions between privacy and sharing culture as lived experiences, revealing three themes. First, privacy matters, and second, respondents identify their experiences of sharing and understandings of privacy in more traditional privacy terms: as an individualized right focused on control, pointing to a disconnect between sharing culture and concepts of privacy. Third, respondents describe their sharing behaviors as clearly shaped by privacy logics, almost entirely driven by social rather than institutional privacy. These social privacy logics are made visible through “private sharing,” “public friends,” and the depersonalization of shared public content. These evolving ways of navigating sharing culture point to the apparent triumph of social privacy over institutional privacy, but they also reveal a platform failure to make institutional privacy coherent in respondents’ lives.
How Does a Social Open Innovation Succeed? Learning from Burro Battery and Grassroots Innovation Festival of India

As people pay attentions to social innovation as the source of innovative ideas and the repository of new business models, this study poses the following research questions: How does a social open innovation succeed? What is the success factor of social open innovation? What are the successful dynamics of social open innovation? This article selected two case studies: one is the Burro Battery Company in Ghana and the other is grassroots innovation enterprise of India known as the Honey Bee Network and its collaborator, National Innovation Foundation (NIF), Ahmedabad. The first case is a social open innovation firm case while the second case is a social open innovation policy case. Through deep case study, we found out the ways of success of social open innovation strategy and social open innovation policy.
OBJECT-ORIENTED ANALYSIS : GETTING HELP FROM ROBUST COMPUTATIONAL LINGUISTIC TOOLS

In object-oriented (OO) software engineering, objects, attributes and processes are often specified in natural language descriptions. Following a precise methodology, we here look at the analysis phase of OO software engineering and show that robust computational linguistic tools initially developed for knowledge extraction from text can provide useful support during this initial but crucial phase of any OO software development project.
Languages as libraries

Programming language design benefits from constructs for extending the syntax and semantics of a host language. While C's string-based macros empower programmers to introduce notational shorthands, the parser-level macros of Lisp encourage experimentation with domain-specific languages. The Scheme programming language improves on Lisp with macros that respect lexical scope. The design of Racket---a descendant of Scheme---goes even further with the introduction of a full-fledged interface to the static semantics of the language. A Racket extension programmer can thus add constructs that are indistinguishable from "native" notation, large and complex embedded domain-specific languages, and even optimizing transformations for the compiler backend. This power to experiment with language design has been used to create a series of sub-languages for programming with first-class classes and modules, numerous languages for implementing the Racket system, and the creation of a complete and fully integrated typed sister language to Racket's untyped base language. This paper explains Racket's language extension API via an implementation of a small typed sister language. The new language provides a rich type system that accommodates the idioms of untyped Racket. Furthermore, modules in this typed language can safely exchange values with untyped modules. Last but not least, the implementation includes a type-based optimizer that achieves promising speedups. Although these extensions are complex, their Racket implementation is just a library, like any other library, requiring no changes to the Racket implementation.
Calculation of Phrase Probabilities for Statistical Machine Translation by using Belief Functions

In this paper, we consider a specific part of statistical machine translation: feature estimation for the translation model. The classical way to estimate these features is based on relative frequencies. In this new approach, we propose to use the concept of belief masses to estimate the phrase translation probabilities. The Belief Function theory has proven to be suitable and adapted for dealing with uncertainties in many domains. We have performed a series of experiments to translate from English into French and from Arabic into English showing that our approach performs, at least as well as and at times better than, the classical approach.
The Relation between Baroclinic Adjustment and Turbulent Diffusion in the Two-Layer Model

Abstract Baroclinic adjustment and turbulent diffusion are two popular paradigms used to describe the eddy–mean flow closure in the two-layer model, with very different implications for the criticality of the system. Baroclinic adjustment postulates the existence of preferred equilibrium states, while the turbulent diffusion framework predicts smooth variations of the mean state with the forcing. This study investigates the relevance of each paradigm over a wide range of the parameter space, including very strong changes in the diabatic forcing. The results confirm the weak sensitivity of the criticality against changes in the forcing noted by baroclinic adjustment studies but do not support the existence of preferred equilibrium states. The weak sensitivity of the mean state when the forcing is varied is consistent with the steepness of the diffusive closure predicted by homogeneous turbulence theories. These turbulent predictions have been tested locally against observed empirical diffusivities, extendi.
Artificial musical pattern generation with genetic algorithms

This paper describes an implementation for generating artificial musical patterns using genetic algorithms. The proposed algorithm considers the musical theory and the use of smart operators for creating new melodies. We focused on creating jazz music and play it with a rhythmic accompaniment, so that we can get educational uses from it. The results are available in the next link: https://soundcloud.com/euricide.
Structure Guided Salient Region Detector

This paper presents a novel method for detection of image interest regions called Structure Guided Salient Regions (SGSR). Following the information theoretic route to saliency detection, we extend Kadir et al.’s Salient Region detector by exploiting image structure information. The detected SGSRs are highly distinct and very selective. For planar scenes, their performance on repeatability tests under viewpoint changes is comparable to the state of the art. For 3D scenes, SGSRs are more likely to be repeatably detected under viewpoint change. Their usefulness for wide baseline matching is demonstrated with a real-world example, where their comparative advantages are shown.
Deep Face Emotion Recognition

We extend the CNN based face emotion recognition to deal with the confusion of emotion recognition. We achieve state-of-the-art results on complex environment such as low or local light and blurry face details by using multiple input features fusion and mask loss which can focus on the valid local facial features, without any further refining and weighting multiple results module. Moreover, due to DenseNet construction of the model, our approach has much less parameters. Our method was tested on the Emotion Recognition in the Wild Challenge, Static Facial Expression Recognition sub-challenge (SFEW) and shown to provide a substantial 35.38% improvement over baseline results.
A TDIDT technique for multi-label classification

There are numerous problems of increasing significance where a pattern can have several classes simultaneously associated. This kind of problems, usually called multi-label problems, should be tackled with specific techniques in order to generate models more accurate than those obtained with classical classification algorithms. This work presents the adaptation of the J48 algorithm to multi-label classification. The developed algorithm allows the generation of interpretable models and has been tested over several datasets and experiments show that it has a performance which is similar to other multi-label tree-based approaches being specially suitable to be used as base-classifier in an ensemble.
Theoretical limits for signal reflections due to inductance for on-chip interconnections

Transmission line properties of on-chip wiring need to be taken into account due to the great lengths and fast rise times encountered. As the line lengths and circuit speeds increase, the wavelength decreases, and the distributed n-section RC representation will be no longer adequate to analyse signal integrity. With these trends it is becoming more important to include inductance when modeling on-chip interconnect. The electrical phenomena that have to be investigated are governed by the electromagnetic theory. We present first in this paper an efficient and accurate modeling and simulation technique of frequency-dependent transmission lines to determine interconnection characteristics. The electromagnetic approach is then used to determine the limits where effects such as signal reflections can be predicted. The theoretical limits calculated are then illustrated.
Regulation of Purkinje Cell Alignment by Reelin as Revealed with CR-50 Antibody

Cerebellar Purkinje cells are generated in the ventricular zone, migrate outward, and finally form a monolayer in the cortex. Inreeler mice, however, most Purkinje cells cluster abnormally in subcortical areas. Reelin, the candidatereeler gene product recognized by the CR-50 monoclonal antibody, is concentrated in a cortical zone along which Purkinje cells are aligned linearly, implying that it may regulate their alignment. We used an in vitro system and a transplantation approach to analyze the function of Reelin. Explant culture for 7 d of cerebella isolated from wild-type andreeler mice at embryonic day 13 (E13) reproduced in a phenotype-dependent manner the two distinct arrangement patterns (linear vs clustered) of Purkinje cells. Extensive CR-50 binding to wild-type explants converted the linear pattern into areeler-like, clustered pattern. On the other hand, whenreeler explants lacking Reelin were crowned with an artificial layer of Reelin+ granule cells, some Reelin molecules were distributed into a superficial zone of thereeler explants, and Purkinje cells formed a linear pattern along the Reelin-rich overlay. This “rescue” effect was also inhibited by CR-50. Hence, Reelin is involved in the Purkinje cell alignment, and the lack of this activity may explain the malformation in reeler cerebella. We further injected Reelin+ granule cells into the fourth ventricle of E12–13 mice. Extensive incorporation of the injected Reelin+ cells into the ventricular zone, but not of Reelin− cells, forced Purkinje cells of the host cerebella to form an aberrant layer, suggesting that premigratory Purkinje cells may already be responsive to Reelin or Reelin-related signals.
A New Keynesian Perspective on the Great Recession

With an estimated New Keynesian model, this paper compares the "Great Recession" of 2007-09 to its two immediate predecessors in 1990-91 and 2001. The model attributes all three downturns to a similar mix of aggregate demand and supply disturbances. The most recent series of adverse shocks lasted longer and became more severe, however, prolonging and deepening the Great Recession. In addition, the zero lower bound on the nominal interest rate prevented monetary policy from stabilizing the US economy as it had previously; counterfactual simulations suggest that without this constraint, output would have recovered sooner and more quickly in 2009.
Approximate statistical alignment by iterative sampling of substitution matrices

We outline a procedure for jointly sampling substitution matrices and multiple sequence alignments, according to an approximate posterior distribution, using an MCMC-based algorithm. This procedure provides an efficient and simple method by which to generate alternative alignments according to their expected accuracy, and allows appropriate parameters for substitution matrices to be selected in an automated fashion. In the cases considered here, the sampled alignments with the highest likelihood have an accuracy consistently higher than alignments generated using the standard BLOSUM62 matrix.
The State of the Art: Ontology Web-Based Languages: XML Based

Many formal languages have been proposed to express or represent Ontologies, including RDF, RDFS, DAML+OIL and OWL. Most of these languages are based on XML syntax, but with various terminologies and expressiveness. Therefore, choosing a language for building an Ontology is the main step. The main point of choosing language to represent Ontology is based mainly on what the Ontology will represent or be used for. That language should have a range of quality support features such as ease of use, expressive power, compatibility, sharing and versioning, internationalisation. This is because different kinds of knowledge-based applications need different language features. The main objective of these languages is to add semantics to the existing information on the web. The aims of this paper is to provide a good knowledge of existing language and understanding of these languages and how could be used.
PC-based Router Virtualization with Hardware Support

In this paper we focus on how to use open source Linux software in combination with PC hardware to build high speed virtual routers. Router virtualization means that multiple virtual router instances will run in parallel on the same hardware. To enable this, virtual components are combined in the router's data plane. This can result in performance penalties. Furthermore, an overloaded virtual router can affect the performance of other virtual routers running in parallel. Achieving high performance and strong performance isolation in a virtualized environment is challenging. We investigate how hardware can help to achieve these goals in the Linux Namespaces environment. We propose a forwarding architecture for virtual routers based on multi-core hardware where virtual routers can run in parallel on different CPU cores. This reduces resource contention among virtual routers and results in improved performance and isolation. To enable this architecture, we find that hardware based I/O virtualization support is essential. We demonstrate this by making a comparison with a software based I/O virtualization approach. We also show that hardware assisted virtual routers can achieve better aggregate throughput than a non-virtualized router on a multi-core platform.
Sustainability reporting in small enterprises: an italian perspective.

The recent evolution of the economic and social context has led enterprises to consider and assess new aspects integrated with the traditional economic operating parameters. From this point, the international debate on the advantages derived by the adoption of socially and environmentally responsible behaviour has developed; the increasing consciousness of the importance of relationship with stakeholders in enterprises’ activities has enlarged the interest in communication culture and approaches of sustainability.
Otx2 Regulates Subtype Specification and Neurogenesis in the Midbrain

The transcription factor Otx2 is required to determine mesencephalic versus metencephalic (cerebellum/pons) territory during embryogenesis. This function of Otx2 primarily involves positioning and maintaining the mid-hindbrain organizer at the border between midbrain and anterior hindbrain. Otx2 expression is maintained long after this organizer is established. We therefore generated conditional mutants of Otx2 using the Cre/loxP system to study later roles during rostral brain development. For inactivation of Otx2 in neuronal progenitor cells, we crossed Otx2flox/flox animals with Nestin-Cre transgenic animals. In Nestin-Cre/+; Otx2flox/flox embryos, Otx2 activity was lost from the ventral midbrain starting at embryonic day 10.5 (E10.5). In these mutant embryos, the mid-hindbrain organizer was properly positioned at E12.5, although Otx2 is absent from the midbrain. Hence, the Nestin-Cre/+; Otx2flox/flox animals represent a novel mouse model for studying the role of Otx2 in the midbrain, independently of abnormal development of the mid-hindbrain organizer. Our data demonstrate that Otx2 controls the development of several neuronal populations in the midbrain by regulating progenitor identity and neurogenesis. Dorsal midbrain progenitors ectopically expressed Math1 and generate an ectopic cerebellar-like structure. Similarly, Nkx2.2 ectopic expression ventrally into tegmentum progenitors is responsible for the formation of serotonergic neurons and hypoplasia of the red nucleus in the midbrain. In addition, we discovered a novel role for Otx2 in regulating neurogenesis of dopaminergic neurons. Altogether, these results demonstrate that Otx2 is required from E10.5 onward to regulate neuronal subtype identity and neurogenesis in the midbrain.
Sequence Heterogeneity of the ORF3 Gene of Porcine Epidemic Diarrhea Viruses Field Samples in Fujian, China, 2010–2012

Twenty-seven field samples that showed positive in PEDV detection were collected from different farms of Fujian province from 2010 to 2012. Their heterogeneity was investigated by analysis of the ORF3 gene because of its potential function as a representation of virulence. According to the results, six Fujian strains in Group 1 showed a different genotype with unique point mutations, which might be used in differentiation between PEDV groups and brought potential antigenic variation. P55 and five reference strains in Group 2 had a long length deletion, showing another genotype and might be involved in the variation of virulence. Phylogenetic analysis revealed that the collected Fujian strains were very distant from the vaccine development strain CV777, which might be the reason why the vaccine was inefficient to control the disease. The results can help to reconsider the strategy of PEDV vaccine management and prevent outbreaks of PEDV-induced diarrhea more efficiently.