gebhart/patrepeval huggingface dataset:
The Determinations of The Consumer Credit Default Probabilities in The Telecommunication Industry (2023)

Risk Management subject is increasingly getting more attention especially after the 2008 global financial systems chock caused the recession, <em>the research</em> is aiming to <em>define</em> and evaluate the determinations and benefits of the statistical methods, to determine the optimum accuracy for the payments’ performance, and to maximize the benefits of the financial consumer credit default swap. defining the variables that influence the risk management, applying and focusing on the telecommunications industry with the financial and non-financial dimensions, research will use <em>the descriptive research</em> method to describe, explore and investigate the amount and direction of the relationship between the variables that may affect the consumer credit defaulting, and how to prioritize it, using the multi-regression statistical analysis that explaining 34% of payments performance and transfer the rest of residual risk through financial swaps’ contracts as a new suggested module for the telecommunication industry, the results support the importance for considering additional aspects for the client’s profiling while taking the credit worthiness decision. recommending and encouraging further research, covering advanced techniques such as the artificial neural network “ANN” for maximum credit scoring accuracy and better payment performance. The study results avail suggestions for the telecommunication companies making adjustments for their credit risk matrix, building on the customer’s profile to mitigate the defaulting risk; then research suggests hedging the remaining risk through financial tools such as the credit default swaps on lower premium fees, reaching the minimal risk level.
Coupled-Inductor Filter: A Basic Filter Building Block (2012)

Coupled-magnetics and coupled-inductor filters provide smoothing in a power converter by steering ripple current away from the “quite port.” While this concept is not new, topologies claiming to be “new” or “novel” continue to be reported in the literature, suggesting that the ripple-steering phenomenon may not be well understood to be a property of the filter block itself. This paper describes a general coupled-inductor filter block and presents a brief history of its application starting with the earliest known version of the circuit, which dates back to a 1923 patent application. The coupled-inductor circuit model is reviewed, starting with the basic topology and ideal circuit elements. Real circuit elements are then considered along with the effects of equivalent series resistance and other parasitic elements. A circuit-based filtering approach is used to emphasize the filtering aspect of the coupled inductor. It will be seen that the coupled-inductor filter can exhibit a low pass with notch frequency response. This provides the ability to achieve extra attenuation at a particular frequency, such as the converter switching frequency, which can reduce the overall filtering burden without adding extra inductive components. When the filter components are treated as a functional circuit group, instead of an interconnection of inductors and capacitors, the coupled-inductor filter can be analyzed as a drop-in replacement wherever a smoothing choke would normally be used and does not depend on converter voltage waveforms. A topology transformation of the Ćuk converter shows that “zero ripple” in not a special property of the topology, but can be achieved using the coupled-inductor filter block.
Comprehensive multi-level joint optimization for multi-mode fir-like structures (2011)

FIR filters are vastly used in multi-mode systems where the behavior of the system changes based on user inputs or changes in the operational environment. FIR filters used for each mode of operation have different sets of parameters (coefficient sets). Partially reconfigurable FPGA platforms are shown to be viable choices to implement multi-mode filters. For multi-mode FIR filters, the area, power and performance of the filters implemented for each mode of operation can be optimized based on the value of the coefficients. However this makes the structure dependent to the coefficient set used to optimize it. In other words optimizing the area of the filters leads to increasing the reconfiguration delay. In this thesis, I propose to split the filter structure into two sections: a static section and a reconfigurable section. While the static section stays the same across all modes of operations, the reconfigurable section is optimized for each mode. I propose a polynomial time solution to minimize the size of the reconfigurable section for the given value of coefficients. Minimizing the reconfigurable section of a filter minimizes the area to be reconfigured. However since the filter structures in a given sequence of designs, share common subsets of coefficients, we can reduce the reconfiguration overhead by NOT reconfiguring the common substructure between the subsequent designs. To exploit the similarity, we suggest an approach to jointly optimize a given sequence of filter structures. The objective is to reduce a linear cost function of area and reconfiguration overhead. Joint optimization approach is effective to exploit similarity across filters. However the area and reconfiguration overhead can only be determined after physical implementation of a circuit. In this thesis, I propose to augment our joint optimization approach with an optimization approach at physical level. The objective of the optimizations is to minimize the area of the design while fully exploiting reusable modules across designs. In this thesis I theoretically study the abovementioned problems and propose efficient solutions to solve them. As the result of this work, I have developed a tool which gets the description of a sequence of filters as an input and generates the RTL design of the filters in VHDL code. It then gives hints on how to place the modules of the design to physical regions on the FPGA chip. The results show the importance of this approach and the efficiency of the solutions proposed.
An Introduction to EPONs and a Discussion of the P2MP PMDs (2006)

This chapter contains sections titled: Introduction Overview of the chapter What to expect and who would benefit from reading this chapter Background and Basic PON and EPON Frameworks An architectural introduction Architectural decisions The guts of an EPON transceiver: Similarities between 1000BASE-BX and 1000BASE-PX transceivers New PMD parameters 1000BASE-PX10: Single fiber 10 km P2MP 1000BASE-PX20: Single fiber 20 km P2MP Interoperability between the various EPON PMDs EPON topologies Summary of concepts covered in this chapter
ChemInform Abstract: VORAUSSETZUNGEN FUER DIE MEHRFACHE BLDG. VON PEPTIDBINDUNGEN INNERHALB DER KOORDINATIONSSPHAERE VON METALLIONEN, AUF KOBALT(III) BASIERENDES DREISEITEN‐SYST. (1972)

Abstract Die Co‐Komplexe (I) reagieren mit Glycinestern bzw. Glycylglycinestern in DMF oder DMSO zu den Komplexen (II) bzw. (III).
Reductive phenylation of nitroarenes (1980)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReductive phenylation of nitroarenesToshiharu Ohta, Ryosuke Machida, Kei Takeda, Yasuyuki Endo, Koichi Shudo, and Toshihiko OkamotoCite this: J. Am. Chem. Soc. 1980, 102, 20, 6385–6386Publication Date (Print):September 1, 1980Publication History Published online1 May 2002Published inissue 1 September 1980https://pubs.acs.org/doi/10.1021/ja00540a055https://doi.org/10.1021/ja00540a055research-articleACS PublicationsRequest reuse permissionsArticle Views683Altmetric-Citations18LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
SP19 Label-Free Detection of Kinase Activities and Protein-Protein Interactions on BioChips (2007)

This talk describes an approach to using mass spectrometry to analyze biochips—including enzyme-mediated reaction of immobilized biomolecules and protein-protein interactions. The method is based on self-assembled monolayers of alkanethiolates on gold that present proteins and small molecules with control over the densities, patterns, and orientations of these species. Of particular interest is the development of fusion protein capture strategies that give selective and covalent immobilization of proteins. In one example, the serine esterase cutinase reacts with phosphonate capture ligands to give an active-site covalent adduct. Application of a cutinase fusion protein with a monolayer presenting the capture ligand results in immobilization of the display protein, with strict control over both the orientation and the density of this reagent. The chips are compatible with matrix-assisted laser desorption ionization mass spectrometry, and therefore do not require fluorescent or radioisotopic labels for analysis. This technique, termed SAMDI MS, can efficiently monitor a broad class of enzyme activities, including kinase, protease, methyltransferase, and carbohydrate-directed modifications, and can detect proteins having molecular weights up to 100 kDa. The talk will describe examples in assays of endogeneous cellular activities and protein-protein interaction mapping.
The Effect of Cryopreserved Human Placental Tissues on Biofilm Formation of Wound-Associated Pathogens (2018)

Biofilm, a community of bacteria, is tolerant to antimicrobial agents and ubiquitous in chronic wounds. In a chronic DFU (Diabetic Foot Ulcers) clinical trial, the use of a human cryopreserved viable amniotic membrane (CVAM) resulted in a high rate of wound closure and reduction of wound-related infections. Our previous study demonstrated that CVAM possesses intrinsic antimicrobial activity against a spectrum of wound-associated bacteria under planktonic culture conditions. In this study, we evaluated the effect of CVAM and cryopreserved viable umbilical tissue (CVUT) on biofilm formation of <i>S. aureus</i> and <i>P. aeruginosa</i>, the two most prominent pathogens associated with chronic wounds. Firstly, we showed that, like CVAM, CVUT released antibacterial activity against multiple bacterial pathogens and the devitalization of CVUT reduced its antibacterial activity. The biofilm formation was then measured using a high throughput method and an ex vivo porcine dermal tissue model. We demonstrate that the formation of biofilm was significantly reduced in the presence of CVAM- or CVUT-derived conditioned media compared to control assay medium. The formation of <i>P. aeruginosa</i> biofilm on CVAM-conditioned medium saturated porcine dermal tissues was reduced 97% compared with the biofilm formation on the control medium saturated dermal tissues. The formation of <i>S. auerus</i> biofilm on CVUT-conditioned medium saturated dermal tissues was reduced 72% compared with the biofilm formation on the control tissues. This study is the first to show that human cryopreserved viable placental tissues release factors that inhibit biofilm formation. Our results provide an explanation for the in vivo observation of their ability to support wound healing.
Convergence Behavior of DNNs with Mutual-Information-Based Regularization (2020)

Information theory concepts are leveraged with the goal of better understanding and improving Deep Neural Networks (DNNs). The information plane of neural networks describes the behavior during training of the mutual information at various depths between input/output and hidden-layer variables. Previous analysis revealed that most of the training epochs are spent on compressing the input, in some networks where finiteness of the mutual information can be established. However, the estimation of mutual information is nontrivial for high-dimensional continuous random variables. Therefore, the computation of the mutual information for DNNs and its visualization on the information plane mostly focused on low-complexity fully connected networks. In fact, even the existence of the compression phase in complex DNNs has been questioned and viewed as an open problem. In this paper, we present the convergence of mutual information on the information plane for a high-dimensional VGG-16 Convolutional Neural Network (CNN) by resorting to Mutual Information Neural Estimation (MINE), thus confirming and extending the results obtained with low-dimensional fully connected networks. Furthermore, we demonstrate the benefits of regularizing a network, especially for a large number of training epochs, by adopting mutual information estimates as additional terms in the loss function characteristic of the network. Experimental results show that the regularization stabilizes the test accuracy and significantly reduces its variance.
Phenotypic and functional heterogeneity of human bone marrow– and amnion‐derived MSC subsets (2012)

Bone marrow-derived mesenchymal stromal/stem cells (MSCs) are nonhematopoietic cells that are able to differentiate into osteoblasts, adipocytes, and chondrocytes. In addition, they are known to participate in niche formation for hematopoietic stem cells and to display immunomodulatory properties. Conventionally, these cells are functionally isolated from tissue based on their capacity to adhere to the surface of culture flasks. This isolation procedure is hampered by the unpredictable influence of secreted molecules, the interactions between cocultured hematopoietic and other unrelated cells, and by the arbitrarily selected removal time of nonadherent cells before the expansion of MSCs. Finally, functionally isolated cells do not provide biological information about the starting population. To circumvent these limitations, several strategies have been developed to facilitate the prospective isolation of MSCs based on the selective expression, or absence, of surface markers. In this report, we summarize the most frequently used markers and introduce new targets for antibody-based isolation procedures of primary bone marrow- and amnion-derived MSCs.
Distinct regions control transcriptional activation of the alpha1(VI) collagen promoter in different tissues of transgenic mice. (1996)

To identify regions involved in tissue specific regulation of transcription of the alpha1(VI) collagen chain, transgenic mice were generated carrying various portions of the gene's 5'-flanking sequence fused to the E. coli beta-galactosidase gene. Analysis of the transgene expression pattern by X-gal staining of embryos revealed that: (a) The proximal 0.6 kb of promoter sequence activated transcription in mesenchymal cells at sites of insertion of superficial muscular aponeurosis into the skin; tendons were also faintly positive. (b) The region between -4.0 and -5.4 kb from the transcription start site was required for activation of the transgene in nerves. It also drove expression in joints, in intervertebral disks, and in subepidermal and vibrissae mesenchyme. (c) The fragment comprised within -6.2 and -7.5 kb was necessary for high level transcription in skeletal muscle and meninges. Positive cells in muscle were mostly mononuclear and probably included connective tissue elements, although staining of myoblasts was not ruled out. This fragment also activated expression in joints, in intervertebral disks, and in subepidermal and vibrissae mesenchyme. (d) beta-Galactosidase staining in vibrissae induced by the sequences -4.0 to -5.4 and -6.2 to -7.5 was not coincident: with the latter sequence labeled nuclei were found mainly in the ventral and posterior quadrant, and, histologically, in the outer layers of mesenchyme surrounding and between the follicles, whereas with the former the remaining quadrants were positive and expressing cells were mostly in the inner layers of the dermal sheath. (e) Other tissues, notably lung, adrenal gland, digestive tract, which produce high amounts of collagen type VI, did not stain for beta-galactosidase. (f) Central nervous system and retina, in which the endogenous gene is inactive, expressed the lacZ transgene in most lines. The data suggest that transcription of alpha1(VI) in different tissues is regulated by distinct sequence elements in a modular arrangement, a mechanism which confers high flexibility in the temporal and spatial pattern of expression during development.
Nano-composite of Phosphoric Acid Derivative of Fullerene with SiO2 and its Proton Conductivity (2007)

The nano-composite of the phosphoric acid derivative of fullerene ([PO(OH)2]2CC60) with SiO2 was synthesized using the in-situ reaction from [PO(OH)2]2CC60 with tetraethoxysilane (TEOS). The nano-composite was characterized using FT-IR measurements, and its morphology was observed using SEM. The humidity dependence of their proton conductivity for both [PO(OH)2]2CC60 and its nano-composite was investigated. The proton conductivity of the nano-composite is increased more than one order of magnitude higher than that of [PO(OH)2]2CC60 under low relative humidity. This is probably because the more proton conductive sites are generated by SiO2. However its proton conductivity is lower in the humidity range above 60%, probably because the number of the highly dissociative protons from phosphoric acid is decreased after being combined with silica.
The 2003 ISL rich transcription system for conversational telephony speech (2004)

This paper describes the ISL large vocabulary conversational telephony speech recognition system, which was tested in NIST's RT-03S ("Switchboard") evaluation. We present our experiments on improving preprocessing, acoustic modelling, and language modelling. The system features phone-dependent semi-tied full covariances, semi-tied clustering of septa-phones, clustering across phones, feature adaptive training, robust estimation of VTLN and MLLR, as well as context-dependent interpolation of language models. We present detailed results for each stage of our multi-pass transcription scheme. System development started with a 1997 SWB system, yielding a word error rate of 35.1% on our internal 1h development set. The final system performed at 21.8%, a 38% relative improvement. The error rate on the RT-03 CTS evaluation set is 23.4%.
Collision Free Navigation with Interacting, Non-Communicating Obstacles (2021)

In this paper we consider the problem of navigation and motion control in an area densely populated with other agents. We propose an algorithm that, without explicit communication and based on the information it has, computes the best control action for all the agents and implements its own. Notably, the host agent (the agent executing the algorithm) computes the differences between the other agents' computed and observed control actions and treats them as known disturbances that are fed back into a robust control barrier function (RCBF) based quadratic program. A feedback loop is created because the computed control action for another agent depends on the previously used disturbance estimate. In the case of two interacting agents, stability of the feedback loop is proven and a performance guarantee in terms of constraint adherence is established. This holds whether the other agent executes the same algorithm or not.
Stimulus properties of the L???type calcium channel agonist BAY k 8644 in rats (1996)

Calcium (Ca(2+)) channels appear to be involved in the regulation of ethanol (EtOH) intake, as indicated by the effectiveness of both L-type Ca(2+) channel antagonists and agonists in reducing EtOH intake in animals. The present study was aimed to investigate rewarding/aversive and discriminative stimulus effects of the Ca(2+) channel agonist BAY k 8644, a compound showing pronounced anti-alcohol effects in rats. Therefore, a series of conditioned taste aversion (CTA), conditioned place preference (CPP) and two-lever drug discrimination (DD) experiments were conducted in Wistar rats, with (+/-)-BAY k 8644 and its enantiomers. After i.p. application, (+/-)-BAY k 8644 (0.0625-1mg/kg), (-)-BAY k 8644 (0.125-1mg/kg) and (+)-BAY k 8644 (2.5-20mg/kg) all induced a dose-dependent CTA. The minimal effective doses (MED) for (+/-)-, (-)- and (+)-BAY k 8644 were 0.25, 0.25 and 10mg/kg, respectively. In a CPP study, however, (+/-)-BAY k 8644 (0.25-2mg/kg, i.p.) showed neither aversive nor rewarding stimulus properties. Rats were trained to discriminate (-)-BAY k 8644 (0.3mg/kg, i.p.), the enantiomer acting as a high potency Ca(2+) channel agonist, from vehicle, in a two-lever DD procedure (ED(50)) value: 0.05mg/kg); full generalisation: 0.1mg/kg). The (-)-BAY k 8644 cue dose-dependently generalized to (+/-)-BAY k 8644 and (+)-BAY k 8644, the enantiomer acting as a low potency Ca(2+) channel antagonist, with ED(50) values of 0.06 and 0.28mg/kg, respectively. Both (+/-)- and (+)-BAY k 8644 produced full generalization at 1mg/kg, the latter compound showing an inverted U-shaped curve (i.e., this was the only dose showing >80% drug lever selection). The stimulus patterns of BAY k 8644 and its enantiomers appear to resemble the anti-alcohol profiles of these compounds. Therefore, commonalities between the stimulus properties of the agonistic and antagonistic enantiomers might provide a clue for the mechanism underlying the anti-alcohol effects of L-type Ca(2+) channel antagonists and agonists.
Memory Effect Modeling of Wideband Wireless Transmitters Using Neural Networks (2008)

In this paper a three-layer real-valued time-delayed neural network (RVTDNN) is employed to simulate the memory effects of a wideband wireless transmitter. The RVTDNN is trained at first using a Matlab program, and then it is implemented in Agilent Advanced Design System software. Different training algorithms have been applied to the neural network to extract its weights and biases, and it is found that the Levenberg-Marquardt (LM) algorithm exhibits the best performance. A look-up-table based memoryless predistorter is cascaded to the RVTDNN model to validate the capability of the RVTDNN model in simulating the memory effects of the transmitter. The validation results demonstrate that the identified RVTDNN model can accurately mimic the memory effects of a wideband wireless transmitter prototype, which is based on a 60-watt push-pull GaAs FET power amplifier, under a two-carrier 3GPP-FDD excitation signal.