Miracle-dz/UniFAR-FTUs huggingface dataset:
Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition

Abstract: This article investigates the application of Kalman filter with discrete wavelet analysis in short‐term traffic volume forecasting. Short‐term traffic volume data are often corrupted by local noises, which may significantly affect the prediction accuracy of short‐term traffic volumes. Discrete wavelet decomposition analysis is used to divide the original data into several approximate and detailed data such that the Kalman filter model can then be applied to the denoised data and the prediction accuracy can be improved. Two types of wavelet Kalman filter models based on Daubechies 4 and Haar mother wavelets are investigated. Traffic volume data collected from four different locations are used for comparison in this study. The test results show that both proposed wavelet Kalman filter models outperform the direct Kalman filter model in terms of mean absolute percentage error and root mean square error.
The Fenton degradation as a nonenzymatic model for microsomal denitrosation of N-nitrosodimethylamine.

The microsomal metabolism of the carcinogen N-nitrosodimethylamine (NDMA) was suggested to be initiated by hydrogen atom abstraction to form an alpha-nitrosamino radical, which either oxidizes further to an alpha-hydroxy nitrosamine as the initial product of the activating dealkylation pathway or fragments to the nitric oxide radical and N-methylformaldimine as the first step of the presumably inactivating denitrosation route. To examine the chemistry of the alpha-nitrosamino radical in a nonenzymatic setting, we exposed NDMA to the Fenton reagent, which is known to be capable of abstracting hydrogen atoms from organic species. The products observed were those expected of a denitrosation model. Solutions containing 13 mM [14C]NDMA, 15 mM FeSO4, 15 mM H2O2, and 7.5 mM H2SO4 were kept at 4-10 degrees C for 1 h and then basified to yield methylamine (3.2 +/- 0.5 mM, mean +/- SD, n = 8), formaldehyde (3.1 +/- 0.9 mM), and unreacted nitrosamine (10.2 +/- 0.7 mM) as the only radioactive species detected, with total nitrate/nitrite also being found at a level of 2.8 +/- 0.5 mM. N-Methylformaldiminium ion was identified as an intermediate. The parallels between these results and those seen in the microsomal reaction support the hypothesis that the alpha-nitrosamino radical is a common intermediate in enzymatic denitrosation versus dealkylation of NDMA. (ABSTRACT TRUNCATED AT 250 WORDS)
Inkjet printed copper source/drain metallization for amorphous silicon thin-film transistors

Source/drain metallization to amorphous silicon thin-film transistors has been made by inkjet printing. Contact pads of a metal organic copper precursor were inkjet printed, and then converted to copper metal at a maximum process temperature of 200/spl deg/C. The copper contacts were used as the mask for back-channel etch. Laser printed toner was used for all other mask levels in a photoresist-free fabrication process. The inkjet printing of copper contacts represents a further step toward an all-printed thin-film transistor technology.
EDITORIAL Functional imaging and neuropsychiatry

Non-invasive physiological measures of in vivo brain function, derived from positron emission tomography (PET) and functional magnetic resonance (fMRI), are now standard tools in cognitive neuroscience. These techniques provide a powerful context for addressing critical questions regarding both the localization and mechanisms of higher brain functions. A general overview of the history and development of imaging techniques in relation to cognitive science is that of Posner & Raichle (1994). The conceptual background and methodological approaches available for neurobiological based psychiatric research, in conjunction with functional imaging, provides the focus for the present review. Major psychiatric disorders, such as schizophrenia and depression, represent disturbances at the highest level of brain function. Providing a neurobiological account of these conditions presents the most formidable problem in clinical neuroscience. Questions posed by neurobiological perspectives on psychiatric disorders are necessarily embedded in theoretical assumptions about how we think that the brain works. From this, it follows that an important limiting factor in any neurobiological account of psychiatric disease is the stage of development and theoretical conceptualization of brain function in general.
In vitro protein breakdown by enzyme extracts of rumen origin: comparison with methods in situ and proteases of Streptomyces griseus.

A. Velasquez, and G. Pichard. 2010. In vitro protein breakdown by enzyme extracts of rumen origin: comparison with methods in situ and proteases of Streptomyces griseus. Cien. Inv. Agr. 37(3): 57-70. Proteolytic activity of enzymatic extracts generated from rumen microorganisms cultivated in vitro was evaluated. The incubation of rumen fluid used different substrates to generate a higher enzyme concentration and promote a broad spectrum of hydrolytic activity. The composition of the substrates used in the cultivation of the fluid was enriched in protein, starch or cell wall. Enzyme preparations were evaluated by incubating in 30 mL of buffer 50 mM Tris-HCl (pH 6.5) at 39 oC during 48 hours, 100 mg of crude protein from feeds soybean meal, canola meal, sunflower meal, gluten feed, dehydrated alfalfa meal, berseem clover, oat forage and perennial ryegrass. Enzyme extracts from cultivated rumen fluid showed an average protein breakdown of 75.5%, in eight feed samples tested. This value was very close to that measured with the technique of proteases from Streptomyces griseus (74.6% CP), but significantly lower (P≤0.05) than the one obtained by the in situ methodology (84.8% CP). The technique with extracted rumen enzymes showed higher level of proteolysis in the early hours of incubation (6 H) compared to the other techniques. These results suggest that the enzyme preparations of ruminal origin have the ability to predict degradability of feed proteins in the rumen, particularly in the first phase when most of proteins are hydrolyzed and become available for microbial utilization.
Defective importin β recognition and nuclear import of the sex-determining factor SRY are associated with XY sex-reversing mutations

The architectural transcription factor SRY (sex-determining region of the Y chromosome) plays a key role in sex determination as indicated by the fact that mutations in SRY are responsible for XY gonadal dysgenesis in humans. Although many SRY mutations reduce DNA-binding/bending activity, it is not clear how SRY mutations that do not affect interaction with DNA contribute to disease. The SRY high-mobility group domain harbors two nuclear localization signals (NLSs), and here we examine SRY from four XY females with missense mutations in these signals. In all cases, mutant SRY protein is partly localized to the cytoplasm, whereas wild-type SRY is strictly nuclear. Each NLS can independently direct nuclear transport of a carrier protein in vitro and in vivo, with mutations in either affecting the rate and extent of nuclear accumulation. The N-terminal NLS function is independent of the conventional NLS-binding importins (IMPs) and requires unidentified cytoplasmic transport factors, whereas the C-terminal NLS is recognized by IMPβ. The SRY-R133W mutant shows reduced IMPβ binding as a direct consequence of the sex-reversing C-terminal NLS mutation. Of the N-terminal NLS mutants examined, SRY-R62G unexpectedly shows a marked reduction in IMPβ binding, whereas SRY-R75N and SRY-R76P show normal IMPβ binding, suggesting defects in the IMP-independent pathway. We conclude that SRY normally requires the two distinct NLS-dependent nuclear import pathways to reach sufficient levels in the nucleus for sex determination. This study documents cases of human disease being explained, at a molecular level, by the impaired ability of a protein to accumulate in the nucleus.
The complete mitochondrial genome sequence of the Dark-spotted frog Pelophylax nigromaculatus (Amphibia, Anura, Ranidae)

Abstract The dark-spotted frog (Pelophylax nigromaculatus) belongs to Ranidae. This species is known from the Russian Far East, central, northern and north-eastern China, the Democratic People's Republic of Korea, the Republic of Korea, and Japan. In this study, the complete mitochondrial genome of P. nigromaculatus was sequenced. The mitogenome was 17 567 bp in length, consisting of 13 protein-coding genes, 22 transfer RNA (tRNA) genes, 2 ribosomal RNA (rRNA) genes, and a non-coding control region. As in other vertebrates, most mitochondrial genes are encoded on the heavy strand, except for ND6 and eight tRNA genes which are encoded on the light strand. The overall base composition of the P. nigromaculatus is 29.2% A, 27.4% T, 28.4% C, and 15.0% G. Phylogenetic analysis showed P. nigromaculatus was closely related to P. plancyi and P. chosenicus. The complete mitogenome of P. nigromaculatus can provide important data for the studies on phylogenetic relationship and population genetics to further explore the taxonomic status of this species.
Understanding Structural/Functional Properties of Immunoconjugates for Cancer Therapy by Computational Approaches

Abstract Monoclonal antibodies coupled to highly toxic molecules (immunoconjugates) are currently being developed for cancer therapy. We have used an in silico procedure for evaluating some physicochemical properties of two tumor-targeting anti-HER2 immunoconjugates: (a) the single-chain antibody scFv(FRP5) linked to a bacterial toxin, that has been recently progressed to phase I clinical trial in human cancer; (b) the putative molecule formed by the intrinsically stable scFv(800E6), which has been proposed as toxin carrier to cancer cells in human therapy, joined to the same toxin of (a). Structural models of the immuno- conjugates have been built by homology modeling and assessed by molecular dynamics simulations. The trajectories have been analyzed to extract some biochemical properties and to assess the potential effects of the toxin on the structure and dynamics of the anti- HER2 antibodies. The results of the computational approach indicate that the antibodies maintain their correct folding even in presence of the toxin, whereas a certain stiffness in correspondence of some structural regions is observed. Furthermore, the toxin does not seem to affect the antibody solubility, whereas it enhances the structural stability. The proposed computational approach represent a promising tool for analyzing some physicochemical properties of immunoconjugates and for predicting the effects of the linked toxin on structure, dynamics, and functionality of the antibodies.
Control-in-the-loop Model Based Safety Analysis

In most cases, Model Based Safety Analysis (MBSA) of critical systems focuses only on the process and not on the control system of this process. For instance, to assess the dependability attributes of power plants, only a model (Fault Tree, Markov chain.) of the physical components of the plant (pumps, steam generator, turbine, alternator.) is used. In this paper, we claim that for repairable and/or phased-mission systems, not only the process but the whole closed-loop system Process/Control must be considered to perform a relevant MBSA. Indeed, a part of the control functions aims to handle the dynamical mechanisms that change the mission phase as well as manage repairs and redundancies in the process. Therefore, the achievement of these mechanisms depends on the functional/dysfunctional status of the control components, on which these functions are implemented. A qualitative or quantitative analysis method which considers both the process and the control provides consequently more realistic results by integrating the failures of the control components that may lead to the non-achievement of these mechanisms. This claim is exemplified on an industrial study case issued from a power plant. The system is modeled by a BDMP (Boolean logic Driven Markov Process), assuming first that the control components are faultless, i.e. only the faults in the process are considered, and afterwards that they may fail. The minimal cut sequences of the system are computed in both cases. The comparison of these two sets of minimal cut sequences shows the benefit of the second approach.
Polymorphisms of the angiotensin converting enzyme gene in Iranian Azeri Turkish women with unexplained recurrent pregnancy loss

Several factors which influence the balance between fibrinolysis and coagulation pathways play role in the outcome of conception. A large body of studies demonstrate that gene variations are associated with recurrent pregnancy loss (RPL) by different mechanisms. We aimed to determine the allele and genotype frequencies of the angiotensin converting enzyme (ACE) gene in Iranian Azeri Turkish women with unexplained RPL. Fifty patients with RPL and 63 fertile healthy women as controls were entered in the study. A standard method was used for DNA isolation. All genotypes were determined using PCR. Our analysis showed that patient (χ2 = 0.347, p = 0.84) and control (χ2 = 0.77, p = 0.68) groups fitted the Hardy–Weinberg equilibrium strongly. No significant differences were found regarding the frequencies of ACE genotypes [deletion/deletion (D/D), insertion/deletion (I/D) and insertion/insertion (I/I)] and alleles between cases and controls. Based on these findings, we could not find any association between ACE (D/D, I/D and I/I) gene polymorphisms and RPL.
A computational technique based on a real-coded genetic algorithm for microwave imaging purposes

A computational approach based on a genetic algorithm is proposed for the solution of a nonlinear inverse scattering problem for short-range microwave imaging applications. Starting from an integral-equation formulation, the aim is to derive locations, shapes, and distributions of the dielectric parameters of cylindrical scatterers. Simultaneously, the approach also provides the distributions of the internal total electric field. After discretization, the problem is recast as a nonlinear optimization problem. The paper exploits the application of a real-coded genetic algorithm in order to minimize a suitable functional. The reconstruction of strong scatterers with a resolution beyond the Rayleigh criterion is shown, and computational aspects are discussed. Comparisons with results obtained by using approximated formulations and a binary-coded genetic algorithm are also provided. Finally, a hybrid version of the approach (based on the combined strategy of the genetic algorithm and a conjugate gradient method) is presented and preliminarily tested.
License-plate localization by using vector quantization

The paper describes a novel approach using vector quantization (VQ) to process vehicle images for automated identification. The VQ-based method yields superior quality in picture compression for archival purposes, and, at the same time, supports the localization of text regions in the image effectively. As opposed to standard approaches, VQ encoding gives some hint about the contents of image regions; such information is exploited to boost localization performance. The VQ system may be trained empirically from examples; this provides adaptiveness and on-field tuning facility. The approach has been tested in a real application and included satisfactorily into a complete system for vehicle identification.
Large distal 5p deletion with hemifacial microsomia and absence of cri-du-chat syndrome.

Cytogenetics laboratory, Hamilton Regional Laboratory Medicine Program, Hamilton Health Sciences, Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario and Medical Genetics and Pediatrics, University of Calgary, Alberta Children’s Hospital, Calgary, Alberta, Canada Correspondence to Dr Jia-Chi Wang, MD, PhD, Room 3N19, McMaster University Medical Center, 1200 Main Street West, Hamilton, Ontario L8S 4J9, Canada Tel: + 1 905 521 2100 x73721; fax: + 1 905 521 2651; e-mail: wangj@hhsc.ca
The SITA perimetric threshold algorithms in glaucoma.

PURPOSE To determine the within-visit between-algorithm and the within-algorithm between-visit differences in sensitivity for the SITA Standard, SITA Fast, FASTPAC, and Full Threshold algorithms in stable primary open angle glaucoma. METHODS One designated eye from each of 29 patients (age 67.3 +/- 10.2 years; mean +/- SD) experienced in automated perimetry was examined with the four algorithms on each of three visits, using the Humphrey Field Analyzer 750 and Program 30-2. RESULTS The group mean Mean Sensitivity was 1.0 dB greater for SITA Standard than Full Threshold (P < 0.001), 0.7 dB greater for SITA Standard than FASTPAC (P < 0.001), 1.6 dB greater for SITA Fast than FASTPAC (P < 0.001), and 0.9 dB greater for SITA Fast than SITA Standard (P < 0.001). The higher pointwise sensitivity for SITA Fast compared to Full Threshold, FASTPAC, and SITA Standard increased with increase in defect depth. The examination duration for SITA Standard was 53% of that for Full Threshold and 50% shorter for SITA Fast compared to FASTPAC (P < 0.001), regardless of age (P = 0.932). The examination duration increased with increase in severity of field loss (P < 0.001), and this increase was proportionately greater for both SITA algorithms (P < 0.001), particularly SITA Fast. The Total and Pattern Deviation probability analyses of both SITA algorithms yielded a statistically greater defect than Full Threshold or FASTPAC (P < 0.001). The within-algorithm between-visit differences were similar between SITA Standard and Full Threshold and between SITA Fast and FASTPAC. CONCLUSIONS Both SITA algorithms produce a marginally higher differential light sensitivity compared to existing algorithms but with a statistically deeper defect and a marked reduction in examination duration.
A scheme of terminal mobility prediction of Ultra Dense Network based on SVM

Aiming at the application requirements for the frequent handover in 5G Ultra Dense Networks (UDN), a scheme of terminal mobility prediction for UDN based on Support Vector Machine (SVM) is proposed. In view of the characteristics of density and mobility in UND, the schema uses SVM to mine the vector index of the mobile terminal and adopts regression algorithm to predict the location of the terminal next 5 seconds. The proposed scheme can make reservations of the needed resources in advance based on the prediction information, and can improve the switching efficiency in 5G mobile environment.
Functional Interaction of Common γ-Chain and Growth Hormone Receptor Signaling Apparatus1

We previously reported on an X-linked SCID (X-SCID) patient, who also had peripheral growth hormone (GH) hyporesponsiveness and abnormalities of the protein phosphorylation events following GH receptor (GHR) stimulation. In the present study, we examined a potential role of common cytokine receptor γ-chain (γc) in GHR signaling using EBV-transformed lymphocytes from healthy subjects and γc-negative X-SCID patients. We demonstrated that the proliferative response to GH stimulation of the B cell lines of γc-negative patients was impaired despite a comparable cellular expression of GHR molecules to controls. In patients, after GH stimulation, no phosphorylation of STAT5 was observed. In addition, the molecule localization through confocal microscopy revealed that in B cell lines of patients no nuclear translocation of STAT5b following GH stimulation occurred differently from controls. Biochemical analysis of the nuclear extracts of γc-negative cell lines provided further evidence that the amount of STAT5b and its phosphorylated form did not increase following GH stimulation. In patients, cells reconstituted with wild-type γc abnormal biochemical and functional events were restored resulting in nuclear translocation of STAT5. Confocal experiments revealed that GHR and γc were colocalized on the cell membrane. Our study demonstrates the existence of a previously unappreciated relationship between GHR-signaling pathway and γc, which is required for the activation of STAT5b in B cell lines. These data also confirm that growth failure in X-SCID is primarily related to the genetic alteration of the IL2RG gene.
Recommender Systems; Contextual Multi-Armed Bandit Algorithms for the purpose of targeted advertisement within e-commerce

The topic of Recommender Systems is and have been a hot topic the last century as the market for e-commerce keeps extending. Basic techniques for recommending popular items are used on more or less all e-commerce platforms. Many e-commerce based platforms use simple techniques such as "people who bought this also bought that", while others have very complex recommender systems for customised recommendations depending on users pro les. Regardless of what techniques that are being used, companies want to make their customers happy as well as increasing their own profit. Because of this there is a constant demand for smart systems using up-to-date algorithms and techniques to achieve relevant advertisements. This thesis focuses on evaluating the performance of Contextual Multi-Armed Bandit Algorithms in a, for the specific algorithm, not yet fully explored use-area of recommender systems, namely the area of garmentbased e-commerce. The evaluation consists in measuring the performance mostly in terms of successful recommendations, while discussing satisfaction-level of customers. In addition to this we decided to experiment with di erent privacy-preserving techniques to see how it affects the performed recommendations. This kind of evaluation is, to our knowledge, absent in current literature, which is why we decided to pursue the idea. The evaluation is carried out through use of self-implemented algorithms. Using the frameworks for machine-learning and implementing recommender systems, Apache Mahout and LensKit, the algorithms used in this thesis are implemented by ourselves in java. The implemented algorithms turned out to be better than what was expected initially, managing to predict purchase-behavior of some users with a probability of over 21%. Through observing the results of the implemented application we made it possible to identify new possible use-areas for Multi-Armed Bandit Algorithms within the topic of Recommender Systems.