Miracle-dz/UniFAR-FTUs huggingface dataset:
Immunocytoma Cisplatin-sensitive or-resistant Immunoglobulin M and Organs of Cisplatin-treated LOU / M Rats Inoculated with Platinum Concentrations and DNA Adduct Levels in Tumors

Female LOU/M rats, bearing either a cisplatin (cisDDP)-sensitive or -resistant IgM immunocytoma, were sacrificed at 1 or 24 h after cisDDP administration (i.V., 10 mg/kg of body weight). Platinum levels, deter mined with atomic absorption spectroscopy, were in the order kidney Â» liver > tumor > spleen in the 1-h samples. In the 24-h samples, more platinum was found in spleens than in tumors; the levels in the kidneys were the same as those measured at 1 h, in the spleens they were higher, and in livers and tumors they were lower than at 1 h after the injection; the greatest decrease occurred in the resistant tumor. cisDDP-DNA adducts were detected after chromatography of digested DNA samples isolated from these tissues and from blood cells. The quantitation of the four cisDDP-DNA adducts (Pt-G, Pt-AG, Pt-GG, G-Pt-G, the same as found previously in cisDDP-reacted DNA) was performed with specific antibodies, in the competitive enzyme-linked immunosorbent assay. The cisDDP-DNA adduct levels in the various 1-h tissue samples showed the same ranking order as the platinum levels. The blood samples contained the lowest amount of adducts. Because of the high platinum level in the kidneys (26 mg/kg of wet tissue), the adducts in this organ also could be determined with atomic absorption spectroscopy (the four adducts com prised about 400 fmol/Mgof DNA). Comparison of the atomic absorption spectroscopy and enzyme-linked immunosorbent assay data showed ex cellent agreement. Except for the kidney, all samples showed a decrease in adduct level between 1 and 24 h after cisDDP treatment. The data on the tumors indicated that the difference in susceptibility to cisDDP between the sensitive and resistant tumors is not due to a decreased platinum content or reduced DNA adduct formation in the resistant tumor.
Design of N-way Dual-Frequency Power Divider Base on Genetic Algorithm

A N-way dual-frequency power divider designed with genetic algorithm is proposed. The structure of power divider is composed of n two-section transmission line transformers and n isolation resisters. After even-odd mode analysis with ideal transmission-line model, the optimal parameters are obtained with genetic algorithm. In the genetic algorithm, elitist strategy, crossover and mutation of changing probability are preserved to prevent premature convergence, and to avoid complex formula derivation, one can get the optimized results rapidly and efficiently. The performance of the power divider is analyzed by simulation with software ADS. The results show that impedance is matching at all ports and isolation meet the application requirements.
Persistence, amortization and randomization

We explore several problems associated with persistent data structures, deriving our moti­ vation from problems left open by Driscoll, Sarnak, Sleator and Tarjan in [15]. We exhibit simple methods to completely eliminate amortization from one of the data structures of Driscoll et. at. We show new methods for making some data structures, including disjoint­ set union-find, partially persistent in optimal time and space. We discuss some motivations for eliminating amortization from data structures in general, and explore a family of "pebble" games associated with eliminating amortization from data structures in general and from persistent data structures in particular. One relevant version of this pebble game shows that randomization may be a useful tool for elimination of amortization. The University of Rochester Computer Science Department supported this work. •A preliminary version ofthis paper was presentedat the 2nd Annual ACM.SIAM Symposium on Discrete Algorithms (SODA), San Francisco, USA, Jan. 1991. tDept. of CS, University of Rochester, Rochester, NY 14627. This work is supported by NSF grant CCR-8909667. lDept. of CS, University of Rochester, Rochester, NY 14627.
Experimental evaluation of IETF 6TiSCH in the context of Smart Grid

IEEE 802.15. 4e MAC layer amendments has been specifically designed to support upper layer communication that is reliable, scalable and flexible using Time Slotted Channel Hopping (TSCH) mode. With the emerging IETF 6TiSCH open-standard for Internet of Things layered over TSCH, we can expect 6TiSCH deployments in networks with deterministic and real-time application requirements such as Smart Grid. The OpenWSN implements TSCH MAC layer and IPv6 adaptation to the Low-power and Lossy Networks (LLNs) as defined by the IETF 6TiSCH working group. In OpenWSN, decentralized and distributed On-The-Fly (OTF) scheduling techniques for 6TiSCH environment are supported. In this paper, we present an experimental evaluation of OTF scheduling technique carried out for different TSCH slot schedules considering two scenarios single channel communication and channel hopping. Experimental validation was carried out using TelosB mote platform comparing TSCH and CSMA/CA running the OpenWSN and Contiki respectively. The measured parameters included packet delivery ratio and energy consumption by varying the network size to compare the advantage of TSCH mode scheduling. Our experiment results indicate 6TiSCH can address the critical deterministic bandwidth and real-time requirement while realizing IoT approach to the Smart Grid.
ON SENSORY FEEDBACK FOR SEMG BASED PROSTHETIC HANDS

This paper addresses issues concerning the integration of artificial limbs with amputees. From the reported literature, it is evident that the afferent feedback to prosthetic users can help with their ability to control the device. In addition, incorporation of such a feedback system increases the ownership sensation of amputees with their artificial limbs. This paper includes an overview of research findings on the development of non-invasive sensory feedback (afferent) systems for hand amputees. The reviewed stimulators for the afferent system are based on vibration and electrical systems, and a combination of the two methods.
Ju n 20 02 Restart method and exponential acceleration of random 3SAT instances resolutions : a large deviation analysis of the Davis – Putnam – Loveland – Logemann algorithm

The analysis of the solving complexity of random 3-SAT instances using the Davis-Putnam-Loveland-Logemann (DPLL) algorithm slightly below threshold is presented. While finding a solution for such instances demands exponential effort with high probability, we show that an exponentially small fraction of resolutions require a computation scaling linearly in the size of the instance only. We compute analytically this exponentially small probability of easy resolutions from a large deviation analysis of DPLL with the Generalized Unit Clause search heuristic, and show that the corresponding exponent is smaller (in absolute value) than the growth exponent of the typical resolution time. Our study therefore gives some quantitative basis to heuristic restart solving procedures, and suggests a natural cut-off cost (the size of the instance) for the restart.
Effects of E-Waste Regulation on New Product Introduction

This paper investigates the impact of e-waste regulation on new product introduction in a stylized model of the electronics industry. Manufacturers choose the development time and expenditure for each new version of a durable product, which together determine its quality. Consumers purchase the new product and dispose of the last-generation product, which becomes e-waste. The price of a new product strictly increases with its quality and consumers' rational expectation about the time until the next new product will be introduced. “Fee-upon-sale” types of e-waste regulation cause manufacturers to increase their equilibrium development time and expenditure, and thus the incremental quality for each new product. As new products are introduced (and disposed of) less frequently, the quantity of e-waste decreases and, even excluding the environmental benefits, social welfare may increase. Consumers pay a higher price for each new product because they anticipate using it for longer, which increases manufacturers' profits. Unfortunately, existing “fee-upon-sale” types of e-waste regulation fail to motivate manufacturers to design for recyclability. In contrast, “fee-upon-disposal” types of e-waste regulation such as individual extended producer responsibility motivate design for recyclability but, in competitive product categories, fail to reduce the frequency of new product introduction.
Evaluating Host Aware SMR Drives

Shingled Magnetic Recording (SMR) technology increases the areal density of hard disk drives. Among the three types of SMR drives on the market today, Host Aware SMR (HA-SMR) drives look the most promising. In this paper, we carry out evaluation to understand the performance of HA-SMR drives with the objective of building large-scale storage systems using this type of drive. We focus on evaluating the special features of HA-SMR drives, such as the open zone issue and media cache cleaning efficiency. Based on our observations we propose a novel host-controlled indirection buffer to enhance the drive's I/O performance. Finally, we present a case study of the open zone issue to show the potential of this host-controlled indirection buffer for HA-SMR drives.
Factors Associated with Participation and Retention in a Group Treatment for Child Sexual Abuse

Abstract The current study examines factors associated with participation and retention in a child sexual abuse (CSA) outpatient program. Participation and retention are vital if children are to receive the intended benefits of treatment designed to pro-mote healthy coping following CSA. However, little is known about factors that impede or encourage families to consistently attend sessions. Several factors pos-sibly related to child participation and retention were examined, including demo -graphic variables such as income level and education, characteristics of the abuse, and parent and family pretreatment functioning. Participants in the sample in-cluded 175 children and adolescents and their non-offending primary caregivers seeking cognitive-behavioral group treatment at an outpatient clinic following disclosure of CSA by the participating child. Pretreatment assessment data and records of treatment attendance, gathered as part of a larger research endeavor evaluating the effectiveness of the treatment protocol, were utilized. The results indicated that demographic variables reflective of reduced structural barriers to treatment seeking (e.g., higher income) have a positive effect on participation and retention. Results did not indicate a relationship between abuse characteristics and participation and retention. Finally, mixed results regarding parent and fam-ily functioning emerged. While significant relationships were not found across all measures; several analyses indicated a positive relationship between parental functioning, family functioning, and participation and retention. Implications of the study’s results for clinicians who are aiming to engage families in treatment following CSA are presented. Informed about factors that promote retention and steady participation, clinicians will be able to identify and ameliorate difficulties that may lead to either inconsistent attendance or discontinued treatment.
Can the Liberal Arts and Entrepreneurship Work Together

Liberal arts courses aren't meeting students' needs, but we can't just turn them into business courses. far from rough-and-tumble, real-world considerations, often viewed as too theoretical to be useful, a liberal arts education is associated with thinking and contemplation rather than praxis. Entrepreneurship, on the other hand, is almost always situated within the domain of business and involves some type of market exchange, giving it immediate economic significance. Risky, exciting, and fast paced, entrepreneurship represents not only engagement with the outside world, but also the attempt to change the world according to a particular vision. In his 2007 Newsweek college guide, "T\venty-five Hottest Schools," education journalist Jay Matthews describes liberal arts offerings as "intellectual" and entrepreneurship courses as "careerist. " Yet even proponents of entrepreneurship education complain of an absence of rigor in much of the available research, and the foundational theory of entrepreneurship remains largely unarticulated, driving doubts about its qualifications as an academic discipline. Critics maintain that entrepreneurship programs do little more than promote profit-driven, commercial enterprise. Liberal arts and entrepreneurship have a common foundation, but they have erroneously become defined as polar opposites within the academy; thus, the power and effectiveness of each have been undermined. The solution is for those in liberal arts and entrepreneurship programs to work together without driving each other crazy.
Information-Centric Networking — Dagstuhl Seminar —

Zusammenfassung From December 5th to 8th 2010, the Dagstuhl Seminar 10492 on “Information-Centric Networking” was held in Schloss Dagstuhl – Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.
A gain-scheduling approach to model human simultaneous visual tracking and balancing

In this study, we endeavor to better understand the human motor control system in order to help transposing some of its features onto humanoid robots. The postural coordination task investigated is related to an experimental paradigm that consists in visual target tracking task while balancing. We want to test whether the human biomechanical responses, namely phase / antiphase coordination mode transition, as exhibited during the actual experiments can be modeled by a linearized double inverted pendulum and parallel independent PD feedback control loops. Remarkably, these loops implement joint space control using cartesian task space variables. Furthermore, we want to see how the feedback control gains given by an optimization procedure scale w.r. t frequency or target motion magnitude. A closed-loop synthesis is developed that consists in minimizing a minimum torque criterion under both balance and task constraints. We show that the optimal feedback control gains obtained yield model responses consistent with the literature. In a second part, we implement a gain-scheduling approach where control gains values are predicted via interpolation. Finally, our approach implements a controller capable of achieving the task even when the frequency of the target motion varies over time.
Mapping the Hsp90 Genetic Interaction Network in Candida albicans Reveals Environmental Contingency and Rewired Circuitry

The molecular chaperone Hsp90 regulates the folding of diverse signal transducers in all eukaryotes, profoundly affecting cellular circuitry. In fungi, Hsp90 influences development, drug resistance, and evolution. Hsp90 interacts with ∼10% of the proteome in the model yeast Saccharomyces cerevisiae, while only two interactions have been identified in Candida albicans, the leading fungal pathogen of humans. Utilizing a chemical genomic approach, we mapped the C. albicans Hsp90 interaction network under diverse stress conditions. The chaperone network is environmentally contingent, and most of the 226 genetic interactors are important for growth only under specific conditions, suggesting that they operate downstream of Hsp90, as with the MAPK Hog1. Few interactors are important for growth in many environments, and these are poised to operate upstream of Hsp90, as with the protein kinase CK2 and the transcription factor Ahr1. We establish environmental contingency in the first chaperone network of a fungal pathogen, novel effectors upstream and downstream of Hsp90, and network rewiring over evolutionary time.
Planar homography from Fourier domain representation

Computing the transformation between two views of a planar scene is an important step in many computer vision applications. Spatial approaches to solve this problem need corresponding sets of primitives-points, lines, conies, etc. Identification of corresponding primitives in two images is non-trivial, limiting the applicability of such approaches. In this paper, we present a novel Fourier domain based approach that makes use of image intensities for computing the image-to-image transformation. Our approach transforms the images to the Fourier domain and then represents them in a coordinate system in which the affine transformation is reduced to an anisotropic scaling. The anisotropic scale factors can be computed using cross correlation methods, and working backwards from this, we compute the entire transformation. It does not require any correspondences thereby making it practically very useful. Applications to registration and recognition are discussed.
Parallel Methods for Optimizing High Order Constellations on GPUs

The increasing demand for fast mobile data has driven transmission systems to use high order signal constellations. Conventional modulation schemes such as QAM and APSK are sub-optimal, large gains may be obtained by properly optimizing the constellation signals set under given channel constraints. The constellation optimization problem is computationally intensive and the known methods become rapidly unfeasible as the constellation order increases. Very few attempts to optimize constellations in excess of 64 signals have been reported. In this paper, we apply a simulated annealing (SA) algorithm to maximize the Mutual Information (MI) and Pragmatic Mutual Information (PMI), given the channel constraints. We first propose a GPU accelerated method for calculating MI and PMI of a constellation. For AWGN channels the method grants one order of magnitude speedup over a CPU realization. We also propose a parallelization of the Gaussian-Hermite Quadrature to compute the Average Mutual Information (AMI) and the Pragmatic Average Mutual Information (PAMI) on GPUs. Considering the more complex problem of constellation optimization over phase noise channels, we obtain two orders of magnitude speedup over CPUs. In order to reach such performance, novel parallel algorithms have been devised. Using our method, constellations with thousands of signals can be optimized.
Knowledge sharing and competitiveness of professional service firms: A case study

Knowledge Sharing and Competitiveness of Professional Service Firms: A Case Study by Albert P. Cruz M.A., National University, 2005 M.B.A., University of Phoenix, 2002 B.S., University of Phoenix, 2000 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Applied Management and Decision Sciences
Altimeter observations of sea-level variability off the west coast of North America

A combination of careful harmonic analysis and high-resolution numerical modelling of tides in altimeter data from TOPEX/Poseidon and ERS-2 satellites allows detailed calculation of seasonal and interannual variability of sea level in coastal areas of the north-east Pacific Ocean. These calculations show large changes in sea level in marginal seas during the 1997–8 El Niño and La Niña events, as well as providing information on the origin and life cycle of large anticyclonic eddies, observed to be generated off the west coast of Canada.
Prediction methods of earthquake-induced liquefaction surface manifestations

The Liquefaction Potential Index (LPI) is an index which summarizes the liquefaction potential of a geotechnical profile. This index is proportional to the thickness, the depth of the liquefiable layer and the factor of safety while its value at a specific site can be incorporated into a geographic information system, providing liquefaction hazard maps. The main purpose of this work is to estimate the probability of liquefaction surface manifestations based on the LPI values using the logistic regression procedure. Furthermore, the discriminant function analysis is used in order to classify geotechnical profiles in one of the two groups (occurrence or no occurrence of liquefaction) based on LPI values and the thickness H (m) of the upper non-liquefied (cap) soil layer. The high percentage of the correctly classified cases both for the original grouped and cross-validated ones indicate how well the model predicts the liquefaction surface manifestations.
An Effective Implementation of Load Balanced Routing Scheme Networks

Wireless mesh network is emerged as a response to the growing demand for high throughput multimedia applications over wireless mesh networks. The core technology invo each other’s packet in a multi hop fashion. Mesh networks promises fast, easy and economical network operation, and this is the main reason for opting mesh network as a means for internet connectivity for a wid As a result the gateway nodes will become congested due to high traffic load towards the outside networks. Therefore a routing scheme is essential for the global load balancing across the network while ensuring high throughput paths. This paper introduces a routing scheme which balances the load in the network and provides high throughput path. Here we use the ETT-Keywords
Vision Based Robust Pose Estimation System in Different Observed Situations for an Outdoor Quadrotor

In this paper, we present a vision based robust pose estimation system in different observed situations for a quadrotor in outdoor environments. This system could provide us with approximate ground truth of pose estimation for an outdoor quadrotor, while most of existing vision based systems perform indoors. We only use the own features of the quadrotor, while most existing systems modify the architecture of the quadrotor or put additional components such as colored markers on it. We propose the novel robust pose estimation algorithms for different observed situations. With good observed results, we get all of the four rotors and calculate the pose. But when fewer than four rotors are observed, all of existing external vision based systems for the quadrotor do not mention this and could not get right results. By combining inertial measurement unit (IMU) data, our robust pose estimation system has solved these problems and obtained accurate results of pose estimation. We demonstrate in real experiments that our pose estimation system for the quadrotor could perform accurately and robustly in real time.
Global Asymptotic Stability for a Class of Generalized Neural Networks With Interval Time-Varying Delays

This paper is concerned with global asymptotic stability for a class of generalized neural networks (NNs) with interval time-varying delays, which include two classes of fundamental NNs, i.e., static neural networks (SNNs) and local field neural networks (LFNNs), as their special cases. Some novel delay-independent and delay-dependent stability criteria are derived. These stability criteria are applicable not only to SNNs but also to LFNNs. It is theoretically proven that these stability criteria are more effective than some existing ones either for SNNs or for LFNNs, which is confirmed by some numerical examples.