gebhart/patrepeval huggingface dataset:
Dynamic and Flexible Spectrum Use with Frequency Localized Waveforms under Transmitter Nonidealities (2015)

Filter bank multicarrier (FBMC) is considered as one of the strong 5G waveform candidates due to better spectral containment compared to orthogonal frequency division multiplexing (OFDM). However, when considering the spectral leakage effects appearing in practical devices due to transmitter non-idealities, such as power amplifier (PA) nonlinearity and inphase-quadrature (I/Q) imbalance, the nice spectral properties of FBMC may be severely degraded, thus questioning the additional complexity needed to generate such waveforms in baseband. In this paper, digital pre-distortion (DPD) is investigated as a practical solution for both of these problems. We extend the study also to potential applications of spectrum sensing based cognitive radio in future wireless communications. We utilize the benefits of the analysis filter bank of FBMC receiver in wideband multichannel spectrum sensing. In this context, the power leakage due to transmitter non-idealities also makes it difficult to identify spectral gaps amongst relatively strong primary transmissions. It is demonstrated that effective DPD greatly facilitates both spectrum sensing and spectrum utilization functions and thus enhances the overall spectral efficiency in opportunistic dynamic spectrum use scenarios.
Crosslinked Poly(amido‐amine)s as Superior Matrices for Chemical Incorporation of Highly Efficient Organic Nonlinear Optical Dyes (2003)

Abstract We report on the synthesis and characterization of new crosslinked polymeric matrices, pertaining to the class of poly(amido‐amine)s (PAAs), functionalized with highly performing nonlinear optical (NLO) heterocycle‐based dyes as side‐chain substituents. Linear, soluble, and highly crosslinked NLO‐functionalized PAA networks can be easily prepared under mild conditions. The wide‐ranging tunability of optical and mechanical properties of these matrices makes them a superior alternative to conventional high‐ T g thermoplastic polymers. magnified image
Model Based Defect Detection in Multi-Dimensional Vector Spaces (2011)

A highly sensitive inspection algorithm is proposed that extracts defects in multidimensional vector spaces from multiple images. The proposed algorithm projects subtraction vectors calculated from test and reference images to control the noise by reducing the dimensionality of vector spaces. The linear projection vectors are optimized using a physical defect model, and the noise distribution is calculated from the images. Because the noise distribution varies with the intensity or texture of the pixels, the target image is divided into small regions and the noise distribution of the subtraction images are calculated for each divided region. The bidirectional local perturbation pattern matching (BD-LPPM) which is an enhanced version of the LPPM, is proposed to increase the sensitivity when calculating the subtraction vectors, especially when the reference image contains more high-frequency components than the test image. The proposed algorithm is evaluated using defect samples for three different scanning electron microscopy images. The results reveal that the proposed algorithm increases the signal-to-noise ratio by a factor of 1.32 relative to that obtained using the Mahalanobis distance algorithm.
Pulse shaped OFDM for asynchronous uplink access (2015)

This paper considers the scenario of massive machine type communication (MTC) in cellular uplink for short packet traffic. For this traffic type, the closed loop Timing Advance (TA) adjustment process applied in current LTE uplink introduces significant overhead in signaling and energy consumption. We propose to pulse shape the OFDM signals using time-frequency localized prototype filters. This improves the robustness of the waveform against timing offsets, so that the uplink transmission procedure can be simplified. Building on that property, an asynchronous uplink access scheme is developed. In the performance evaluation, we compare with both DFTs-OFDM and CP-OFDM schemes and demonstrate that higher spectral efficiency can be achieved by the pulse shaped OFDM scheme, highlighting the benefits in properly designing the pulse shapes of a multicarrier waveform.
SUCCESSFUL CONVERSION FROM CONVENTIONAL IMMUNOSUPPRESSION TO ANTI-CD154 MONOCLONAL ANTIBODY COSTIMULATORY MOLECULE BLOCKADE IN RHESUS RENAL ALLOGRAFT RECIPIENTS1,2 (2001)

Renal allograft recipients can be successfully converted to CD154 blockade monotherapy after 60 days of conventional immunosuppression. An induction phase of anti-CD154 mAb appears to be necessary for optimal conversion. Therefore, although concurrent administration of conventional immunosuppressive agents including steroids and calcineurin inhibitors has been shown to inhibit the efficacy of CD154 blockade, sequential conversion from these agents to CD154 blockade appears to be effective.
Evolutionary Neuro-Space Mapping Technique for Modeling of Nonlinear Microwave Devices (2010)

This paper presents a new advance in Neuro-space mapping (Neuro-SM) techniques for modeling nonlinear microwave devices. Suppose that existing device models (namely, coarse models) cannot match the behavior of a new device (referred to as the fine model). By neural network mapping of the voltage and current signals from the coarse to the fine models, Neuro-SM can modify the behavior of the coarse model to match that of the fine model. However, the efficiency of mapping depends on both the mapping structure and the coarse model. In this paper, a structural optimization technique is presented to achieve optimal combinations of mapping structure and coarse model. An aggressive optimization formulation exploring detailed structural variations in both the mapping and the coarse model is proposed, where the internal branches of coarse models and separate mappings for the voltage and current at gate and drain are used as basic topology variables. The formulation of such a structural optimization by an evolutionary optimization algorithm is proposed. Numerical examples of metal–semiconductor field-effect transistor and high electron-mobility transistor modeling demonstrate that, by using the proposed algorithm, optimal combinations of space mapping and coarse model structures can be achieved leading to the best modeling accuracy with the simplest mapping function.
Clinical Effects of a Plant Extract Mixture Containing &lt;i&gt;Rhus verniciflua&lt;/i&gt; and Other Herbs in Tumor Bearing Dogs (2016)

Dog owners are increasingly seeking treatment when their pets develop cancers. As in human cancer patients, dogs with cancer are commonly treated with complementary and alternative therapies, including herbal medicines and nutritional supplements. A novel antitumor agent was developed from six different herbs including Rhus verniciflua (Rv-PEM01). The components were established from traditional herbal medicine and designed to affect antitumor activity and maintain host immune function. Previous studies identified anti-proliferative activity in human, murine and canine cancer cell lines. In this clinical study the safety and tolerability of Rv-PEM01 were evaluated in pet dogs with spontaneously occurring cancers. Twelve dogs were treated orally daily for 30 days in escalating dose (4 - 10 mg/kg orally once daily) cohorts. Rv-PEM01 was well tolerated; only transient mild elevations in BUN were observed in 2 dogs. Although tumor response was not a primary endpoint for this study, stable disease was maintained for 30 days in 5 (42%) of the dogs. In conclusion, Rv-PEM01 was found to be safe and well tolerated in the dosage range tested. Future studies should evaluate higher dosages of Rv-PEM01 in dogs with cancer, and specifically address other potential benefits of Rv-PEM01 in canine cancer patients, including correlative assessments of immune function, quality of life and owner satisfaction.
Supplementary Data from Apogossypol derivatives as antagonists of antiapoptotic Bcl-2 family proteins (2023)

Supplementary Data from Apogossypol derivatives as antagonists of antiapoptotic Bcl-2 family proteins
Sticker‐Type Alq3‐Based OLEDs Based on Printable Ultrathin Substrates in Periodically Anchored and Suspended Configurations (2013)

Introducing two-dimensional post arrays and a water-soluble sacrificial layer between an ultrathin substrate and a handling substrate provides controllability of the interfacial adhesion in a stable manner. The periodically anchored and suspended configuration after the chemical etching process facilitates the development of, for example, printable Alq3 -based OLEDs that can be attached to unconventional surfaces.
Concise Approach to Novel Isothiazolidinone Phosphotyrosine Mimetics: Microwave‐Assisted Addition of Bisulfite to Activated Olefins. (2006)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
New method of contour-based mask-shape compiler (2007)

We have developed a new method of accurately profiling a mask shape by utilizing a Mask CD-SEM. The method is intended to realize high accuracy, stability and reproducibility of the Mask CD-SEM adopting an edge detection algorithm as the key technology used in CD-SEM for high accuracy CD measurement. In comparison with a conventional image processing method for contour profiling, it is possible to create the profiles with much higher accuracy which is comparable with CD-SEM for semiconductor device CD measurement. In this report, we will introduce the algorithm in general, the experimental results and the application in practice. As shrinkage of design rule for semiconductor device has further advanced, an aggressive OPC (Optical Proximity Correction) is indispensable in RET (Resolution Enhancement Technology). From the view point of DFM (Design for Manufacturability), a dramatic increase of data processing cost for advanced MDP (Mask Data Preparation) for instance and surge of mask making cost have become a big concern to the device manufacturers. In a sense, it is a trade-off between the high accuracy RET and the mask production cost, while it gives a significant impact on the semiconductor market centered around the mask business. To cope with the problem, we propose the best method for a DFM solution in which two dimensional data are extracted for an error free practical simulation by precise reproduction of a real mask shape in addition to the mask data simulation. The flow centering around the design data is fully automated and provides an environment where optimization and verification for fully automated model calibration with much less error is available. It also allows complete consolidation of input and output functions with an EDA system by constructing a design data oriented system structure. This method therefore is regarded as a strategic DFM approach in the semiconductor metrology.
Optimal Profile Design for the Resonator Beam of an Ultrasonic Motor via Finite Element Modeling and Taguchi Methodology (2004)

This study presents the optimal design for the resonator beam profile of a bimodal ultrasonic motor via finite element modeling and Taguchi experimental design method. General design goals of an ultrasonic motor are to maximize the output power while restraining the contact force in order to extend component lives. To achieve the aforementioned goals, based on recent studies, beam profile design could play an important role because geometric variants of profile lead to substantial changes in the output power of the motor and simultaneously affect the contact force significantly. To investigate the effect of various profiles on the performance of the ultrasonic motor, the dynamic equations of motion are first formulated by utilizing an extended Hamilton’s principle and the method of the Lagrange multiplier. The method of finite element modeling is meanwhile used to approximate the governing partial differential equations by a discrete, finite degree-of-freedom system. With the beam outer profile parametrized by cubic splines in terms of locations of two intercepts, the Taguchi experimental design method is finally applied based on the simulated dynamics of the derived finite system to distill generic design guidelines for beam profile of the ultrasonic motor. It is found that a general paraboliclike profile for beam outer shape is best suited for maximizing output power, while a vaselike profile leads to the worst performance.
The Effect of Axial Length on the Thickness of Intraretinal Layers of the Macula (2015)

Our results have shown that the thickness of the nuclear layers and the total retina is correlated with AL. The reason underlying this could be the lateral stretching capability of these layers; however, further research is warranted to prove this theory. Our results suggest that the effect of AL on retinal layers should be taken into account in future studies.
Characterization of Monocytes-targeted Nanocarriers Biodistribution in Leukocytes in Ex-vivo and In-vivo Models (2010)

Aims: On intravenous administration, unprotected nanocarriers are rapidly captured by the mononuclear phagocytic system (MPS). This has been exploited for passive targeting of nanoparticulate drug delivery systems for depleting circulating monocytes and macrophages for the treatment of various disorders. However, the extent of nanocarriers biodistribution among leukocytes, has not been characterized. The aim of this work was to examine the biodistribution of monocyte-targeted nanoparticles and liposomes in leukocytes. Materials & Methods: Fluorescently-labeled large negative liposomes (LN-LIP, 13033 nm, -25.26.3 mv), large negative NP (LN-NP, 13340 nm, -408 mv), large positive NP (LP-NP, 12136 nm, +629 mv), and small negative NP (SN-NP, 8526 nm, -152 mv) were formulated. Fluorescence activated cell sorting (FACS) was utilized to determine internalization in rabbit's blood both ex-vivo and in-vivo. Results & Conclusions: Monocytes, neutrophils, and lymphocytes internalized the NP. SN-NP exhibited the highest selectivity towards monocytes. Granulocytes preferentially internalized LN-LIP in comparison to all polymeric NP formulations. NP charge had no effect on their engulfment by granulocytes, while NP size was found to be an important factor as granulocytes showed preference towards large NP formulations (LN-NP and LP-NP). Lymphocytes preferentially internalized large negatively charged formulations (LN-LIP and -NP). The ex-vivo results failed to predict in-vivo results. Formulations targeted to monocytes distribute into other leukocytes as well, which should be determined in-vivo.
Kernel Methods for Document Filtering (2002)

This paper describes the algorithms implemented by the KerMIT consortium for its participation in the Trec 2002 Filtering track. The consortium submitted runs for the routing task using a linear SVM, for the batch task using the same SVM in combination with an innovation threshold-selection mechanism, and for the adaptive task using both a second-order perceptron and a combination of SVM and perceptron with uneven margin. Results seem to indicate that these algorithm performed relatively well on the extensive TREC benchmark.
Transition‐Metal Complexes of an Open Geodesic Polyarene (2003)

Corannulen, die kleinste Untereinheit von C60 mit gekrümmter Oberfläche, bildet bei lösungsmittelfreier Gasphasenabscheidung kristalline η2-koordinierte π-Komplexe mit Dirhodium(II)-tetrakis(trifluoracetat). Nicht weniger als drei Metallatome koordinieren an die Doppelbindungen des Corannulen-„Kranzes“, wobei eines der Metallzentren auf der konkaven Seite angeordnet wird (siehe Strukturbild).
Competition between electric field and magnetic field noise in the decoherence of a single spin in diamond (2016)

We analyze the impact of electric field and magnetic field fluctuations in the decoherence of the electronic spin associated with a single nitrogen-vacancy (NV) defect in diamond. To this end, we tune the amplitude of a magnetic field in order to engineer spin eigenstates protected either against magnetic noise or against electric noise. The competition between these noise sources is analyzed quantitatively by changing their relative strength through modifications of the host diamond material. This study provides significant insights into the decoherence of the NV electronic spin, which is valuable for quantum metrology and sensing applications.
New Details of HCV NS3/4A Proteinase Functionality Revealed by a High-Throughput Cleavage Assay (2012)

Our multiplex assay technology in light of the growing appreciation of the role of proteolytic processes in human health and disease will likely have widespread applications in the proteolysis research field and provide new therapeutic opportunities.
Exploiting Ultra-Low Loss Silicon Nitride Platform for Various Applications (Invited) (2022)

Si 3 N 4 has attracted extensive interest because of its wide applications in the field of biophotonics, telecommunications, nonlinear optics, and sensing. Here, we focus on exploiting ultra-low loss Si 3 N 4 for on-chip delay line and frequency comb generation.
Large-scale Language Model Rescoring on Long-form Data (2023)

In this work, we study the impact of Large-scale Language Models (LLM) on Automated Speech Recognition (ASR) of YouTube videos, which we use as a source for long-form ASR. We demonstrate up to 8\% relative reduction in Word Error Eate (WER) on US English (en-us) and code-switched Indian English (en-in) long-form ASR test sets and a reduction of up to 30\% relative on Salient Term Error Rate (STER) over a strong first-pass baseline that uses a maximum-entropy based language model. Improved lattice processing that results in a lattice with a proper (non-tree) digraph topology and carrying context from the 1-best hypothesis of the previous segment(s) results in significant wins in rescoring with LLMs. We also find that the gains in performance from the combination of LLMs trained on vast quantities of available data (such as C4) and conventional neural LMs is additive and significantly outperforms a strong first-pass baseline with a maximum entropy LM. Copyright 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Field Evaluation of a Restricted Crossing U-Turn Intersection (2012)

Four-lane divided highways are an economical design solution to increase the capacity of rural highways compared to grade-separated limited access facilities. Compared to two-lane undivided rural highways, four-lane divided highways have markedly lower rates of sideswipe, rear-end, and head-on collisions. However, right-angle crash rates are markedly higher on four-lane divided highway intersections than at two-lane undivided highway intersections, largely as a result of left-turn and through movements from minor roads conflicting with far-side vehicles on the divided highway. The restricted crossing U-turn (RCUT) intersection is a promising treatment to mitigate right-angle crashes where two-lane minor roads intersect with rural four-lane divided highways.\nThis report includes a comparison of operations at an RCUT intersection in Maryland with a roughly comparable conventional stop-controlled intersection on the same corridor. It also includes before-after crash analyses for intersections converted from conventional to RCUT designs on two Maryland highway corridors. The operational analysis found that conflicts between vehicles entering or crossing the highway from a minor road were reduced, weaving movements were about the same for the two intersection types, the RCUT design added about 1 min to travel time for vehicles making left-turn or through movements from the minor road.\nThree approaches were used to estimate the affect of an RCUT conversion on crashes. All three approaches led to the same conclusion: the RCUT design reduces crashes. A simple 3-year before and 3-year after analysis suggested a 30 percent decrease in the average number of crashes per year. An analysis that adjusted the observed crash rate at RCUT locations for the observed crash rate at nearby conventional intersections on the same corridors suggested a 28 percent decrease in the average annual number of crashes. An empirical Bayes analysis that adjusts for, among other things, the expected number of crashes at similar intersections and average annual traffic suggested a 44 percent decrease in crashes. Furthermore, the analyses suggest an overall reduction in crash severity with the RCUT design.\n
Prognostic Factors for Renal Cell Carcinoma With Tumor Thrombus Extension (2007)

Eastern Cooperative Oncology Group performance status, metastatic status, sarcomatoid features and concomitant perinephric fat invasion are the most powerful prognostic factors of survival in renal cell carcinoma with tumor thrombus extension. Our data indicate that a redefinition of the current T3 classification may improve its predictive accuracy. We propose that T3 renal cell carcinoma with fat invasion or thrombus extension alone should be classified as T3a, while that with thrombus extension plus fat invasion should be classified as T3b.
Fast and accurate detection and classification subsurface targets using emerging sensors' data sets (2021)

Recently, subsurface metallic targets detection and classification have been successfully demonstrated at more than twenty UXO live sites using advanced Electromagnetic induction sensors and signal processing algorithms. The studies have shown that the technologies have a potential to save billions of dollars by distinguishing the explosive hazards from clutter. To take advantage of these technology, the DoD has established advanced Geophysical Classification Accreditation Program (DAGCAP). The DAGCAP supports the transition of advanced classification methodologies to common use in the field and uses the standard procedures to avoid the unnecessary and costly excavation of non-explosive debris. The current DAGCAP program consist two 1) dynamic and 2) cued data collections. As a standard procedure, the collected dynamic data are used for generating a detection map and subsurface targets list. The detected targets list is used to guide cued data collection. During the second step, the cued data sets are collected for each subsurface anomalies; the collected cued data are inverted and targets intrinsic (effective dipole polarizabilities, size, wall thickness) and extrinsic (location and orientations) are extracted; finally, the extracted intrinsic parameters are utilized and targets are classified as target of interest and clutter. Although the current advanced EMI systems provide high fidelity dynamic EMI data sets, till now the DAGCAP utilizes the upon described time consuming and costly two step approaches. This is due to limitation of the standard EMI data processing and targets classification algorithms. In this paper, we will demonstrate subsurface targets classification from emerging sensors' data sets using advanced EMI model called the orthonormalized volume magnetic sources. The comparisons between cued and dynamic data classifications will be illustrated and analyzed.
Epidemiology of patients presenting with dyspnea to emergency departments in Europe and the Asia-Pacific region (2018)

Dyspnea as a symptom in the ED has high ward and ICU admission rates. A variety of causes of dyspnea were observed in this study, with chronic diseases accounting for a major proportion.