Miracle-dz/UniFAR-FTUs huggingface dataset:
An SVM Framework for Genre-Independent Scene Change Detection

We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets of features, extracted from both audio and video streams, to be combined and compared automatically without the use of explicit thresholds. For ground truth, we use hand-labeled video scene boundaries from a wide variety of broadcast genres to generate positive and negative samples for the SVM. Our experiments include high-and low-level audio features such as semantic histograms and distances between Gaussian models, as well as video features such as shot cut positions. We evaluate the importance of these measures in a structured framework, with performance comparisons obtained via ROC curves. We achieve over 70% detection rate for 10% false positive rate on our corpus of over 7.5 hours of data collected from news, talk shows, sitcoms, dramas, music videos, and how-to shows.
Building ontologies for production scheduling systems: towards a unified methodology

In this paper we consider the use of ontologies as the basis for structuring and simplifying the process of constructing real‐time problem‐solving tools, focusing specifically on the task of production scheduling. In spite of the commonality in production scheduling system requirements and design, different scheduling environments invariably present different challenges (e.g. different constraints, different objectives, different domain structure, etc.). The proposed methodology for building ontologies used for production scheduling systems represents a synthesis of extensive work in developing constraint‐based scheduling models for a wide range of applications in manufacturing and production planning. Since the effective modeling is one of the most important and difficult steps in the development of reliable information systems, and taking into consideration the fact that the general problem of the production scheduling in the industries is very difficult and still unsolved, one can easily estimate the merit of this methodology.
A weighted least-square-based approach to FIR filter design using the frequency-response masking technique

This paper presents a new method for the design of sharp linear phase FIR filters using the frequency-response masking (FRM) technique. The method is based on a weighted least square (WLS) approach, and the design problem is solved iteratively. The original least square (LS) problem is decomposed into two LS problems, each of which can be solved analytically. The effectiveness of the method is demonstrated through the design of a lowpass linear phase sharp FIR digital filter.
Inactivation of the Celf1 Gene that Encodes an RNA-Binding Protein Delays the First Wave of Spermatogenesis in Mice

Background The first wave of spermatogenesis in mammals is characterized by a sequential and synchronous appearance of germ cells in the prepubertal testis. Post-transcriptional controls of gene expression play important roles in this process but the molecular actors that underlie them are poorly known. Methodology/principal findings We evaluated the requirement for the RNA-binding protein CELF1 during the first wave of spermatogenesis in mice. Mice inactivated for Celf1 gene were not viable on pure genetic backgrounds. On a mixed background, we observed by histology and gene profiling by RT-qPCR that the testes of inactivated prepubertal mice were characterized by several features. (i) Spermiogenesis (differentiation of post-meiotic cells) was blocked in a subset of prepubertal inactivated mice. (ii) The appearance of the different stages of germ cell development was delayed by several days. (iii) The expression of markers of Leydig cells functions was similarly delayed. Conclusions/significance Celf1 disruption is responsible for a blockage of spermiogenesis both in adults and in prepubertal males. Hence, the spermiogenesis defects found in Celf1-inactivated adults appear from the first wave of spermiogenesis. The disruption of Celf1 gene is also responsible for a fully penetrant delayed first wave of spermatogenesis, and a delay of steroidogenesis may be the cause for the delay of germ cells differentiation.
A Framework for Mobile Manipulation

In this article we present a proposal for a control architecture suitable for mobile manipulation. The approach attempts to combine existing techniques for navigation and mobility with a flexible control system for the manipulator arm, hence a behavior-based system for controlling the platform is integrated with a hybrid dynamic system for the manipulator control. An analysis is made of the system characteristics, motivating these choices. The objective is to have a system level design where all aspects can be included as a natural part, e.g. mission planning, task analysis, path planning, control and integration. Also, using a hybrid dynamic systems paradigm, methods exist for stability, controllability and observability analysis. A language for specification of hybrid automata is developed to support a structured design.
Highly active antiretroviral therapy with or without mycophenolate mofetil in treatment-naive HIV-1 patients

Objective: To study the effect of mycophenolate mofetil (MMF) on the decay rate of plasma HIV-1 RNA and the latently infected cellular reservoir in treatment-naive patients starting antiretroviral therapy. Design: Randomized trial. Methods: A group of 19 HIV-1 infected patients (9 with a chronic and 10 with a primary infection) starting a triple antiretroviral drug regimen were randomized to a group with or without MMF. Plasma samples for HIV-1 RNA were taken and HLA-DR−CD4+ T cells were co-cultured for HIV-1 isolation. Slopes of plasma HIV-1 RNA and cellular viral load decay were calculated for the first 14 days and the first 24 weeks of treatment, respectively. Results: The median plasma HIV-1 RNA daily decay rate in chronically infected patients was 0.25 log10 copies/ml [interquartile range (IQR), 0.18–0.30] with MMF and 0.28 log10 copies/ml (IQR, 0.22–0.32) without MMF (P = 0.56); in primary infected patients, it was 0.31 log10 copies/ml (IQR, 0.31–0.32) with MMF and 0.32 log10 copies/ml (IQR, 0.26–0.34) without MMF (P = 0.75). The median daily decay rate of latently infected cells was 0.017 and 0.004 infected cells/106 cells in patients with and without MMF, respectively (P = 0.89). The increase in CD4 T cells was comparable between patients with and without MMF. After stopping MMF, there was an increase in the cellular reservoir in six of eight patients. Conclusion: The addition of MMF to a triple class antiretroviral regimen in treatment-naive patients does not significantly increase the plasma HIV-1 RNA decay rate or the decay rate of the latently infected cellular reservoir.
Detection of Helicobacter pylori in Stool Specimens by PCR and Antigen Enzyme Immunoassay

ABSTRACT A highly sensitive seminested PCR assay to detectHelicobacter pylori DNA in feces was developed. PCR with stool specimens and a novel antigen enzyme immunoassay (EIA) forH. pylori detection in feces were evaluated as diagnostic tools and in follow-up with samples from 63 infected and 37 noninfected persons. Infected individuals received eradication therapy followed by endoscopic follow-up 35 days after the start of treatment. At that time, a second stool specimen was obtained from 55 of these patients. Before eradication, the sensitivity of PCR was 93.7% and that of EIA 88.9%. Specificities were 100 and 94.6%, respectively. Of the 55 follow-up specimens, 41 originated from patients from whom H. pylori had been eradicated. Of these, 21 were still positive by PCR and 13 were positive by EIA, indicating that 1 month may be too short a period for follow-up evaluation of stool specimens by these tests.
Multiband Orthogonal Frequency Division Multiplexing Based Ultra Wideband System

Multiband OFDM based Ultra Wideband (UWB) system combines OFDM modulation technique with a multi banding approach, which divides the spectrum into several sub-bands, whose bandwidth is approximately 500MHz. Three band multi band OFDM systems have been designed using a time frequency code of length 3. The important blocks in the transmitter side are QPSK modulator, IFFT, DAC, up converter and time frequency code generator to provide multiple access and frequency diversity. We model channel as a simple delay element. A basic receiver just follows the inverse of the transmission process so important blocks in the receiver side are down converter, ADC and FFT. OFDM based system is very sensitive to timing and frequency offsets, the received constellation is slightly different from transmitted constellation due to processing delay and additional delay introduced from the channel. This paper provides the analysis of impact of delay on OFDM based UWB system. KeywordsMultibanding, OFDM, UWB.
Constant detection of surface and cytoplasmic immunoglobulin heavy and light chain expression in formalin‐fixed and paraffin‐embedded material

The introduction of microwave detection systems has significantly enhanced the sensitivity of immunohistochemistry in formalin‐fixed, paraffin‐embedded tissue. The combination of protease digestion and microwave treatment including the use of heavy metal salts or urea gives an Ig heavy and light chain detection system in formalin‐fixed and paraffin‐embedded material as good as that achieved using fresh frozen material, with the advantage of a well‐preserved morphology. The sensitivity of this method depends on the heavy metal salt used and its concentration. The use of urea yields equally sensitive results, while avoiding the toxicity of heavy metal salts. Heating times in the microwave oven also have an important influence on the results. The microwave‐based technique may allow for the improved accessibility of formalin‐masked antigens, as was shown here for cytoplasmic and surface immunoglobulins. It was demonstrated that formalin‐fixed specimens of Burkitt's lymphoma when subjected to the new protocol almost always showed surface Ig expression, giving results comparable to those obtained in frozen sections. Moreover, it could be shown that in cases of B‐chronic lymphocytic lymphoma (B‐CLL) or immunocytoma, surface and cytoplasmic Ig could be detected, so that the difference may be just a quantitative one and thus may no longer be safely used as a criterion in differential diagnosis. In future, the wide use of this technique will allow for the study of Ig expression at the single cell level in morphologically well‐preserved material.
A Novel C21 Cyclopentenone Derivative from Cipadessa Cinerascens

A new C 21 cyclopentenone derivative, Cipacyclonone (1), was isolated from the leaves of Cipadessa cinerascens. Its structure was elucidated on the basis of spectroscopic analysis, including extensive 1D- and 2D-NMR techniques. Compound 1 showed strong cytotoxicity activity against HL-60 and A-549 cell lines, with IC50 values of 1.2 and 3.0 μM, respectively.
Integrated optical devices achieved by sol gel process

We present design considerations and fabrication results for a vertically integrated waveguide polarization splitter. Fabrication techniques of shadow reactive ion etching and variable photolithography exposure produced the required vertical waveguide structures. The fabricated vertical waveguide bends exhibit excess loss of only 0.2dB. By constructing this vertical bend with a birefringent polyimide, simulation results show the possibility of a polarization splitter wit an extinction ratio of over 15dB. We demonstrate preliminary waveguide experiments showing the practicality of these structures as 3D integrated optical devices.
A high-resolution genomic analysis of multidrug-resistant hospital outbreaks of Klebsiella pneumoniae

Multidrug‐resistant (MDR) Klebsiella pneumoniae has become a leading cause of nosocomial infections worldwide. Despite its prominence, little is known about the genetic diversity of K. pneumoniae in resource‐poor hospital settings. Through whole‐genome sequencing (WGS), we reconstructed an outbreak of MDR K. pneumoniae occurring on high‐dependency wards in a hospital in Kathmandu during 2012 with a case‐fatality rate of 75%. The WGS analysis permitted the identification of two MDR K. pneumoniae lineages causing distinct outbreaks within the complex endemic K. pneumoniae. Using phylogenetic reconstruction and lineage‐specific PCR, our data predicted a scenario in which K. pneumoniae, circulating for 6 months before the outbreak, underwent a series of ward‐specific clonal expansions after the acquisition of genes facilitating virulence and MDR. We suggest that the early detection of a specific NDM‐1 containing lineage in 2011 would have alerted the high‐dependency ward staff to intervene. We argue that some form of real‐time genetic characterisation, alongside clade‐specific PCR during an outbreak, should be factored into future healthcare infection control practices in both high‐ and low‐income settings.
Contrast measurement for no-reference retinal image quality assessment

Retinal fundus image provides information of retinal pathologies to diagnose some diseases by computer automatic detection. The quality of the retinal image mostly affects the detection results. In this research, blood vessels contrast measurement algorithm is approached as the first step in no-reference retinal image quality metric. The step includes segmentation of blood vessels. This work was used retinal images from HEI-MED database. The retinal images are divided as poor and good quality, and then compared with the expert assessment. The result shows that the performance of the approach algorithm is correlated closely with the expert assessment. The qualitative evaluation achieves sensitivity 0.97619, specificity 0.8 and accuracy 0.89362.
Solving Influence Diagrams using HUGIN, Shafer-Shenoy and Lazy Propagation

In this paper we present three different architectures for the evaluation of influence diagrams: HUGIN, Shafer-Shenoy (S-S), and Lazy Propagation (LP). HUGIN and LP are two new architectures introduced in this paper. The computational complexity using the three architectures are compared on the same structure, the Limited Memory Influence Diagram (LIMID), where only the requisite information for the computation of optimal policies is depicted. Because the requisite information is explicitly represented in the diagram, the evaluation procedure can take advantage of it. Previously, it has been shown that significant savings in computational time can be obtained by performing the calculation on the LIMID rather than on the traditional influence diagram. In this paper we show how the obtained savings is considerably increased when the computations are performed according to the LP scheme.
A Comparative Analysis of Feature Extraction Methods for Classifying Colon Cancer Microarray Data

Feature extract ion is a proficient method for reducing dimensions in the analysis and prediction of cancer classification. Microarray procedure has shown great importance in fetching informat ive genes th at needs enhancement in diagnosis. Microarray data is a challenging task due to high dimensional-low sample dataset with a lot of noisy or irrelevant genes and missing data. In this paper, a comparative study to demonstrate the effectiveness of feature ext raction as a dimensionality reduction process is proposed, and concludes by investigating the most efficient approach that can be used to enhance classification of microarray. Principal Component Analysis (PCA) as an unsupervised technique and Partial Least Square (PLS) as a supervised technique are considered, Support Vector Machine (SVM) classifier were applied on the dataset. The overall result shows that PLS algorithm provides an improved performance of about 95.2% accu racy compared to PCA algorithms.
Statistical Analysis of a Telephone Call Center

A call center is a service network in which agents provide telephone-based services. Customers who seek these services are delayed in tele-queues. This article summarizes an analysis of a unique record of call center operations. The data comprise a complete operational history of a small banking call center, call by call, over a full year. Taking the perspective of queueing theory, we decompose the service process into three fundamental components: arrivals, customer patience, and service durations. Each component involves different basic mathematical structures and requires a different style of statistical analysis. Some of the key empirical results are sketched, along with descriptions of the varied techniques required. Several statistical techniques are developed for analysis of the basic components. One of these techniques is a test that a point process is a Poisson process. Another involves estimation of the mean function in a nonparametric regression with lognormal errors. A new graphical technique is introduced for nonparametric hazard rate estimation with censored data. Models are developed and implemented for forecasting of Poisson arrival rates. Finally, the article surveys how the characteristics deduced from the statistical analyses form the building blocks for theoretically interesting and practically useful mathematical models for call center operations.
Extremely low-frequency measurements using an active bias tee

An active bias tee suitable for small- and large-signal low-frequency (5 Hz to 400 kHz) characterization of electron devices has been designed and manufactured. Different experimental results, carried out on 0.25 μm GaAs and GaN HEMTs, confirm the validity of the proposed bias circuit.
EFFECTS OF BACTERIAL ENDOTOXINS ON METABOLISM

The ability of certain adrenocortical hormones to protect experimental animals against the lethal effects of lipopolysaccharides derived from Gramnegative bacteria is well established (14). The underlying basis for this protection has not been determined. Brooke et al. (5) recently reported for several adrenocorticoids a lack of correlation between their antllnflammatory properties and their ability to protect against endotoxins. It is perhaps a matter of faith that leads one to the view that all such hormonal capabilities (and of other substances with pharmacological actions as well) are ascribable to primary biochemical or metabolic effects. The problem becomes a matter of detecting the significant enzymic "needle" from among the mammalian "haystack" of enzymes. A number of enzymes may become altered by hormonal injections after a suflficient delay but most of these changes are probably secondary or adaptive rather than primary. A hopeful way out of this challenging situation is to find alternate ways of modifying an enzyme to see if by both methods a protective effect against endotoxins results. Such an approach to the problem of corticoid protection against endotoxin is made possible by the work of Knox and Auerbach (6) and Feigelson et al. (7). These investigators have shown that an injection of cortisone into rats is followed within about 4 hours by a significant increase in liver tryptophan pyrrolase. The enzyme also becomes more active following an injection of tryptophan, probably as a result of induced enzyme formation. Very briefly, tryptophan pyrrolase, with hematin as cofactor, oxidatively converts tryptophan into formyl kynurenine which, in turn, is further degradated into nicotinic acid. The ultimate metabolic fate of tryptophan v/a this pathway is the incorporation of nicotinamide into the diand triphosphopyridine nucleotides (DPN and TPN), compounds of major significance in the energy release by organisms.
Signature Verification based on Reduced Size Fast Correlation

In this dissertation work, performed an far-reaching experimental study to minimize time of recognition and verification and increase the great accuracy of signature sample which extract some features from signature sample in their training phase. In previous research on signature verification was based on similarity training of machine used in neural network has shown better accuracy than other techniques but somewhere neural network is complex in operation for example different algorithms for supervised learning. So in this work feature extraction and then it’s database has been prepared which takes less time than supervised training in NN is used and for verification, correlation is used to match features of signature with the database which is also easier in operation and faster in processing then BP algorithms in NN. In this system more than 400 signature samples as used for recognition, and it gives far-accuracy than NN system.
Marine Fouling Assemblages on Offshore Gas Platforms in the Southern North Sea: Effects of Depth and Distance from Shore on Biodiversity

Offshore platforms are known to act as artificial reefs, though there is on-going debate on whether this effect is beneficial or harmful for the life in the surrounding marine environment. Knowing what species exist on and around the offshore platforms and what environmental variables influence this species assemblage is crucial for a better understanding of the impact of offshore platforms on marine life. Information on this is limited for offshore platforms in the southern North Sea. This study aims to fill this gap in our knowledge and to determine how the composition and the abundance of species assemblages changes with depth and along a distance-from-shore gradient. The species assemblages on five offshore gas platforms in the southern North Sea have been inventoried using Remotely Operated Vehicles inspection footage. A total of 30 taxa were identified. A Generalised Additive Model of the species richness showed a significant non-linear relation with water depth (p = 0.001): from a low richness in shallow waters it increases with depth until 15–20 m, after which richness decreases again. Using PERMANOVA, water depth (p≤0.001), community age (p≤0.001) and the interaction between distance from shore and community age (p≤0.001) showed a significant effect on the species assemblages. Future research should focus on the effect additional environmental variables have on the species assemblages.
CAM03-3: Can Congestion Control and Traffic Engineering Be at Odds?

In the Internet today, traffic engineering is performed assuming that the offered traffic is inelastic. In reality, end hosts adapt their sending rates to network congestion, and network operators adapt the routing to the measured traffic. This raises the question of whether the joint system of congestion control and routing is stable and optimal. Using established optimization models for TCP and traffic engineering as a basis, we find the joint system is stable and typically maximizes aggregate user utility through simulation. The joint system may deviate from this solution when the topology is not uniform. A modification to the joint system will guarantee stability and optimality for applications that are sufficiently elastic, but at the cost of robustness.