Miracle-dz/UniFAR-FTUs huggingface dataset:
Enterprise frameworks: issues and research directions

Enterprise frameworks are a special class of application frameworks. They are distinguished from other application frameworks in terms of scale and focus. In terms of focus, application frameworks typically cover one particular aspect of an application, either a domain‐dependent aspect (e.g., billing in a web‐based customer‐to‐business ordering system), or a computational infrastructure aspect such as distribution, man‐machine interface, or persistence, etc. Generally, an application framework alone delivers no useful end‐user function. With infrastructure frameworks, we still have to plug in domain functionalities, while with domain frameworks, we need to set‐up the infrastructure. In contrast, enterprise frameworks embody a reference architecture for an entire application, covering both the infrastructure aspects of the application, and much of the domain‐specific functionality. Instantiating an enterprise framework is nothing short of application engineering, where the architecture and many of the components are reusable. While creativity and continual improvement may be the major ingredients for building a good application framework, anything related to enterprise frameworks, be it building, documenting, or instantiating them, is complex and requires careful design and planning. In this paper, we identify the issues involved in building, using, and maintaining enterprise frameworks, both from research and practical perspective. Copyright © 2002 John Wiley & Sons, Ltd.
Draft Genome Sequences of the Multiresistant Escherichia coli C20 Strain, Isolated from Domestic Chicken Gut Microbiota

ABSTRACT Escherichia coli C20, isolated from domestic chicken gut microbiota, demonstrated multidrug resistance to the tested antibiotics. Here, we present the draft genomic sequences of E. coli C20, along with that of its plasmid. The final assembly yielded a chromosome of 4,640,940 bp and plasmid of 277,380 bp, with average coverages of 146.95-fold and 35.63-fold, respectively.
Increased B lymphopoiesis in genetically sex steroid-deficient hypogonadal (hpg) mice

Interleukin 7 (IL-7) responsive B lineage precursors were greatly expanded in genetically hypogonadal female (HPG/Bm-hpg/hpg) mice that have a secondary deficiency in gonadal steroidogenesis. Estrogen replacement in these mice resulted in a dose-dependent reduction in B cell precursors. More modest increases were documented in genetically normal mice that were surgically castrated. These findings complement other recent observations that B lymphopoiesis selectively declines in pregnant or estrogen-treated animals. Sex steroids have long been known to influence such disparate processes as bone physiology and tumor growth, in addition to their importance for reproductive function. We now show that these hormones are important negative regulators of B lymphopoiesis.
Position Paper : Evaluating the Results of Unsupervised Ontology Learning

This paper is intended to serve as an introductory paper to a workshop on user-oriented evaluation of knowledge discovery systems. Its main purpose is to raise issues and ask questions. The background to the paper is previous work on evaluation in other areas, such as machine translation, much of it closely related to and inspired by the two ISO standards on evaluation of software in general, the 9126 series and the 14598 series.
A secure partial encryption scheme based on bit plane manipulation

With the increasing volume of digital information the cost of encryption is also increasing as conventionally the whole information is encrypted. But it is possible to provide equal security by partially encrypting the information, which will reduce the computation cost. In this paper authors proposed a partial encryption scheme based on bit plane manipulation. The proposed scheme encrypts only those bits which carry significant amount of information instead the whole image. The scheme uses DNA computation and chaotic henon map which are run on low computational overhead. Therefore, the scheme runs on low computational overhead. Moreover, the values of UACI and NPCR of the partially encrypted image is better than that of AES and some other schemes.
The Relationship Between Occam's Razor and Convergent Guessing

Occam's razor, the principle of parsimony, is a tool that finds application in many areas of science. Its validity has never been proven in full generality from first principles. Convergent guessing is the property th at as more examples of an input-output mapp ing are provided , one would expect the modelling of that mapping to become mor e and more accurate. It too is widely used and has not been proven from first principles. In thi s paper it is shown that Occam 's razor and convergent guessin g are not independ ent if convergent guessing holds , so does Occam 's raz or. (The converse of thi s statement is also true , providing some extra condi tions are met.) Therefore, if you have reason to believe th at your guesses are getting mor e accurate as you are fed more data, you also have reason to believe that application of Occam's razor will likely result in better guesses. Rather than attri butes concerning how an ar chitecture works (e .g. , it s coding length , or its number of free par ameters) , thi s pap er is concern ed exclusively with how the ar chitecture g uesses (which is, aft er all , what we're really interest ed in). In this contex t Occam's razor mean s that one should guess according to the "simplicity" of an archite cture's guessing behavior (as opposed to according to the sim plicity of how the ar chi tecture works). This pap er deduces an optimal measure of the "simplicity" of an architecture's guessing beh avior. Given this op timal simplicity measure, this paper th en establishes th e aforementioned relationship between Occam's razor and converg ent guessing. T his paper goes on to elucidate the many oth er advantages, both practical an d theoreti cal, of using the optimal simplicity measure. Finally, this paper end s by exploring the ramifications of th is analysis for the question of how best to measure t he "complexity" of a syste m. ' Elect ronic m ail ad dress: dhw@coot.lanl. gov. © 1990 Complex Systems Pu blications, Inc .
Stable isotope ecology of the endangered Grevy's zebra (Equus Grevyi) in Laikipia, Kenya

Once common in East Africa, Grevy’s zebras (Equus grevyi) are now highly endangered for unknown reasons. They share habitat with Plains zebras (Equus quagga), which are ecologically similar but not endangered. We suspect that previously unobserved diet differences may be involved in the two species’ differential conservation status. This study used 13 C/ 12 C and 15 N/ 14 N stable isotope ratios in tail hair samples of Grevy’s and Plains zebras from Laikipia, Kenya to examine these differences. Additionally, three locations with different levels of livestock were compared to see whether livestock presence significantly alters Grevy’s diet. I found the first recorded evidence for resource partitioning between Grevy’s and Plains zebras. I also found that Grevy’s graze significantly less and browse more when livestock are present. Continued overgrazing by livestock could expedite decline of Grevy’s zebra populations. I recommend analysis of current management policy and revision to instigate more sustainable livestock farming practices. Introduction Analysis of stable isotope ratios in animal tissues is a useful method of obtaining information about the diet of both extinct and extant wildlife (Koch 2007). Although the dietary preferences of extant species can be observed directly in the wild, limitations often render the results of such studies incomplete (Cerling et al. 2009). Stable isotope analysis not only provides an alternative to observation in these difficult cases, but can also provide dietary information with a greater level of detail than even the best observational studies. Stable isotope analysis of animal hair can be especially constructive, as it provides a geochemical chronology of diet (Cerling et al. 2009). These methods can be used to increase understanding of ecology and physiology of wildlife species or for pinpointing otherwise hidden factors involved in conservation of threatened or endangered species.
Intentional Attack and Fusion-Based Defense Strategy in Complex Networks

Intentional attack incurs fatal threats on modern networks by paralyzing a small fraction of nodes with highest degrees to disrupt the network. To enhance the network robustness, in this paper we propose a fusion-based defense mechanism where each node performs local detection and feedbacks minimum (one-bit) information to the fusion center in order to infer the presence of attack. By formulating the attack and defense strategy as a zero-sum game, we leverage the expected payoff as a benchmark to evaluate the effectiveness of the fusion-based defense mechanism. Both analytic results and empirical data support that fusion-based defense is able to prevent the network from disruption, even under poor detection capability and fragile nature of complex networks.
In Vitro Growth of Human Keratinocytes and Oral Cancer Cells into Microtissues: An Aerosol-Based Microencapsulation Technique

Cells encapsulation is a micro-technology widely applied in cell and tissue research, tissue transplantation, and regenerative medicine. In this paper, we proposed a growth of microtissue model for the human keratinocytes (HaCaT) cell line and an oral squamous cell carcinoma (OSCC) cell line (ORL-48) based on a simple aerosol microencapsulation technique. At an extrusion rate of 20 μL/min and air flow rate of 0.3 L/min programmed in the aerosol system, HaCaT and ORL-48 cells in alginate microcapsules were encapsulated in microcapsules with a diameter ranging from 200 to 300 μm. Both cell lines were successfully grown into microtissues in the microcapsules of alginate within 16 days of culture. The microtissues were characterized by using a live/dead cell viability assay, field emission-scanning electron microscopy (FE-SEM), fluorescence staining, and cell re-plating experiments. The microtissues of both cell types were viable after being extracted from the alginate membrane using alginate lyase. However, the microtissues of HaCaT and ORL-48 demonstrated differences in both nucleus size and morphology. The microtissues with re-associated cells in spheroids are potentially useful as a cell model for pharmacological studies.
Crystal Structure of Neuropsin, a Hippocampal Protease Involved in Kindling Epileptogenesis*

Neuropsin is a novel serine protease, the expression of which is highly localized in the limbic areas of the mouse brain and which is suggested to be involved in kindling epileptogenesis and hippocampal plasticity. The 2.1-Å resolution crystal structure of neuropsin provides the first three-dimensional view of one of the serine proteases highly expressed in the nervous system, and reveals a serine protease fold that exhibits chimeric features between trypsin and nerve growth factor-γ (NGFγ), a member of the kallikrein family. Neuropsin possesses anN-glycosylated “kallikrein loop” but forms six disulfide bonds corresponding to those of trypsin. The ordered kallikrein loop projects proline toward the active site to restrict smaller residues or proline at the P2 position of substrates. Loop F, which participates in forming the S3/S4 sites, is similar to trypsin rather than NGFγ. The unique conformations of loops G and H form an S1 pocket specific for both arginine and lysine. These characteristic loop structures forming the substrate-binding site suggest the novel substrate specificity of neuropsin and give a clue to the design of its specific inhibitors.
Full System Emulation: Achieving Successful Automated Dynamic Analysis of Evasive Malware

Automated malware analysis systems (or sandboxes) are one of the latest weapons in the arsenal of security vendors. Such systems execute an unknown malware program in an instrumented environment and monitor their execution. While such systems have been used as part of the manual analysis process for a while, they are increasingly used as the core of automated detection processes. The advantage of the approach is clear: It is possible to identify previously unseen (zero day) malware, as the observed activity in the sandbox is used as the basis for detection. A key question is how to build an effective sandbox that reveals as many interesting malware behaviors as possible. We will address this point in the following section. Another question relates to the response from attackers and malware authors. Sandboxes are becoming increasingly popular. We all know that security is an arms race. So, how are the “bad guys” responding, and how can defenders, in turn, react to the trend of evasive malware that becomes increasingly popular.
Finite-Element Simulations of the pH-ElecFET Microsensors

This paper presents a COMSOL Multiphysics 2-D axisymmetric model of a pH-sensitive electrochemical field effect transistor (pH-ElecFET) microsensor. This device combines an integrated microelectrode with a pH-sensitive chemical field effect transistor (pH-ChemFET). Thus, by triggering electrolysis phenomena owing to the integrated microelectrode, associated local pH variations in microvolumes are monitored thanks to the pH-ChemFET microdevice. Taking into account (electro) chemical reactions and diffusion phenomena in the liquid phase, the proposed model points out the role of the ElecFET geometrical design (microelectrode width w, gate sensitive radius re and distance between the pH-ChemFET gate and the microelectrode d), as well as polarization parameters, (polarization voltage Vp and time tp), on the microsensor response. It is first applied to water electrolysis in order to validate pH impulsional variations in microvolume. Then, the oxidation of hydrogen peroxide in phosphate buffer (PBS, pH0 = 7.2) solutions is studied, evidencing the H2O2 potentiometric detection in the [10-100 mM] concentration range. This developed model paves new ways for sensor applications, opening several new opportunities for pH-ElecFET devices for H2O2-related enzymatic detection of biomolecules.
A novel blind watermarking based on lattice vector quantization

As the complement of cryptography in multimedia security, digital watermarking has been researched in last ten years due to concern about illegal piracy of copyrighted content. Most transform-domain watermarking techniques are based on discrete cosine transform (DCT), discrete Fourier transform (DFT) and discrete wavelet transform (DWT). Among all these algorithms, the blind watermarking scheme is challenged and needed in many practical applications. In this paper, we propose a novel oblivious watermarking based on lattice vector quantization in DCT domain. A trade-off between robustness of watermark and the quality of the watermarked image is achieved by varying quantization factor for watermark embedding. Experimental results show that new scheme is robust against intentional and incidental attack such as JPEG compression, addition of noise, filtering and so on without degrading image quality. These results can be combined with a private key-based scheme to make unauthorized retrieval practically impossible, even with the knowledge of the algorithm.
Approximation Algorithms for Submodular Multiway Partition

We study algorithms for the {\sc Sub modular Multiway Partition}problem (\SubMP). An instance of \SubMP consists of a finite ground set $V$, a subset $S = \{s_1,s_2,\ldots,s_k\} \subseteq V$ of $k$elements called terminals, and a non-negative sub modular set function$f:2^V\rightarrow \mathbb{R}_+$ on $V$ provided as a value oracle. The goal is to partition $V$ into $k$ sets $A_1,\ldots,A_k$ to minimize $\sum_{i=1}^kf(A_i)$ such that for $1 \le i \le k$, $s_i \inA_i$. \SubMP generalizes some well-known problems such as the {\scMultiway Cut} problem in graphs and hyper graphs, and the {\scNode-weighed Multiway Cut} problem in graphs. \SubMP for arbitrary sub modular functions (instead of just symmetric functions) was considered by Zhao, Nagamochi and Ibaraki \cite{ZhaoNI05}. Previous algorithms were based on greedy splitting and divide and conquer strategies. In recent work \cite{ChekuriE11} we proposed a convex-programming relaxation for \SubMP based on the Lov\'asz-extension of a sub modular function and showed its applicability for some special cases. In this paper we obtain the following results for arbitrary sub modular functions via this relaxation. \begin{itemize} \item A $2$-approximation for \SubMP. This improves the $(k-1)$-approximation from \cite{ZhaoNI05}. \item A $(1.5-\frac{1}{k})$-approximation for \SubMP when $f$ is {\em symmetric}. This improves the $2(1-\frac{1}{k})$-approximation from \cite{Queyranne99, ZhaoNI05}. \end{itemize}
QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials

Channel models are important tools to evaluate the performance of new concepts in mobile communications. However, there is a tradeoff between complexity and accuracy. In this paper, we extend the popular Wireless World Initiative for New Radio (WINNER) channel model with new features to make it as realistic as possible. Our approach enables more realistic evaluation results at an early stage of algorithm development. The new model supports 3-D propagation, 3-D antenna patterns, time evolving channel traces of arbitrary length, scenario transitions and variable terminal speeds. We validated the model by measurements in a coherent LTE advanced testbed in downtown Berlin, Germany. We then reproduced the same scenario in the model and compared several channel parameters (delay spread, path gain, K-factor, geometry factor and capacity). The results match very well and we can accurately predict the performance for an urban macro-cell setup with commercial high-gain antennas. At the same time, the computational complexity does not increase significantly and we can use all existing WINNER parameter tables. These artificial channels, having equivalent characteristics as measured data, enable virtual field trials long before prototypes are available.
University ’ s repository of research publications and other research outputs Insights into the Thermal Generation Futures of Isolated Island Electricity Systems Using System Dynamics Conference Item

In future, long-term thermal generation investments will be greatly influenced by the best available mixes of legacy fossil fuels and renewable sources. Intuitively, a detailed first look at the dynamics which surrounds thermal investments will assist policy makers in shaping optimally required generation mixes. To achieve this, a system dynamics model of an isolated island electricity system was developed. This model gauges the long-term investment decisions that can exist within such systems. It addresses the thermal capacity additions and the extent to which financially influenced and demand growth influenced additions affects the long-term stability of the system. Reflecting a reality typical of island systems, this model does not have a supply and demand driven pricing mechanism and thus adopts exogenous electricity tariffs. It however accounts endogenously for changes in the thermal capacity margins and capacity costing. The case study used considers the Azorean island of Sao Miguel; which provides a background for the model and is used for testing its ability to capture various aspects of historical behaviours and real-world influences on the long-term thermal generation decisions. The paper concludes with a discussion of the investment decision insights gained and the possible future extensions, uses and modifications of the model.
Novel satellite digital video TDMA system for business video communications

The authors propose an integrated satellite digital video system for business video communications which realizes multipoint to multipoint dynamic channel assignment, simultaneous plural video signal transmission, and efficient use of the transponder transmission power. An offset quadrature phase shift keying (QPSK) modulation scheme with a high-coding-gain high-coding-rate forward error correction scheme obtains compact spectrum characteristics and highly interference-resistant characteristics in nonlinear satellite channels. For backward voice channel transmission from video signal receive-only terminals, a superposed spread spectrum multiple access voice signal transmission scheme over a time division multiple access video signal through one transponder that employs a cochannel interference cancellation technique is proposed. <<ETX>>
Exclusivity Regularized Machine

It has been recognized that the diversity of base learners is of utmost importance to a good ensemble. This paper defines a novel measurement of diversity, termed as exclusivity. With the designed exclusivity, we further propose an ensemble model, namely Exclusivity Regularized Machine (ERM), to jointly suppress the training error of ensemble and enhance the diversity between bases. Moreover, an Augmented Lagrange Multiplier based algorithm is customized to effectively and efficiently seek the optimal solution of ERM. Theoretical analysis on convergence and global optimality of the proposed algorithm, as well as experiments are provided to reveal the efficacy of our method and show its superiority over state-of-the-art alternatives in terms of accuracy and efficiency.
An Operational Amplifier with Recycling Folded Cascode Topology and Adaptive Biasing

This paper presents a highly adaptive operational amplifier with high gain, high bandwidth, high speed and low power consumption. By adopting the recycling folded cascode topology along with an adaptivebiasing circuit, this design achieves high performance in terms of gain-bandwidth product (GBW) and slew rate (SR). This single stage op-amp has been designed in 0. 18μm technology with a power supply of 1.8V and a 5pF load. The simulation results show that the amplifier achieved a GBW of 335.5MHz, Unity Gain Bandwidth of 247.1MHz and a slew rate of 92.8V/μs.
Bacterial flora analysis of coliforms in sewage, river water, and ground water using MALDI-TOF mass spectrometry

ABSTRACT The aim of this study was to rapidly and effectively analyze coliforms, which are the most fundamental indicators of water quality for fecal pollution, using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Coliform bacteria were isolated from municipal sewage, river water, and groundwater. For each sample, 100 isolates were determined by MALDI-TOF MS. In addition, these same 100 isolates were also identified via 16S rRNA gene sequence analysis. Obtained MALDI-TOF MS data were compared with the 16S rRNA sequencing analysis, and the validity of MALDI-TOF MS for classification of coliform bacteria was examined. The concordance rate of bacterial identification for the 100 isolates obtained by MALDI-TOF MS analysis and 16S rRNA gene sequence analysis for sewage, river water, and ground water were 96%, 74%, and 62% at the genus level, respectively. Among the sewage, river water, and ground water samples, the coliform bacterial flora were distinct. The dominant genus of coliforms in sewage, river water, and groundwater were Klebsiella spp. , Enterobacter spp. , and Serratia spp. , respectively. We determined that MALDI-TOF MS is a rapid and accurate tool that can be used to identify coliforms. Therefore, without using conventional 16S rRNA sequencing, it is possible to rapidly and effectively classify coliforms in water using MALDI-TOF MS.
Predicerar skriftliga bildbeskrivningar demens? : -En retrospektiv studie

Skrivning ar en biomekaniskt invecklad process som kraver en viss niva av saval motorisksom kognitiv formaga. Forskning om Alzheimers sjukdom tyder pa att nedsattningar i flerakognitiva domaner for .