gebhart/patrepeval huggingface dataset:
Advanced Beamforming for Distributed and Multi-Beam Networks (2013)

Beamforming entails joint processing of multiple signals received or transmitted by an array of antennas. This thesis addresses the implementation of beamforming in two distinct systems, namely a distributed network of independent sensors, and a broad-band multi-beam satellite network. With the rising popularity of wireless sensors, scientists are taking advantage of the flexibility of these devices, which come with very low implementation costs. Simplicity, however, is intertwined with scarce power resources, which must be carefully rationed to ensure successful measurement campaigns throughout the whole duration of the application. In this scenario, distributed beamforming is a cooperative communication technique, which allows nodes in the network to emulate a virtual antenna array seeking power gains in the order of the size of the network itself, when required to deliver a common message signal to the receiver. To achieve a desired beamforming configuration, however, all nodes in the network must agree upon the same phase reference, which is challenging in a distributed set-up where all devices are independent. The first part of this thesis presents new algorithms for phase alignment, which prove to be more energy efficient than existing solutions. With the ever-growing demand for broad-band connectivity, satellite systems have the great potential to guarantee service where terrestrial systems can not penetrate. In order to satisfy the constantly increasing demand for throughput, satellites are equipped with multi-fed reflector antennas to resolve spatially separated signals. However, incrementing the number of feeds on the payload corresponds to burdening the link between the satellite and the gateway with an extensive amount of signaling, and to possibly calling for much more expensive multiple-gateway infrastructures. This thesis focuses on an on-board non-adaptive signal processing scheme denoted as Coarse Beamforming, whose objective is to reduce the communication load on the link between the ground station and space segment.
MPPT Algorithm for Solar Photovotaic Cell by Incremental Conductance Method (2013)

Due to rapid growth in the semiconductor and power electronics techniques, PV energy is of increasing interest in electrical power applications. Photovoltaic (PV) energy is the most important energy resource since it is clean, pollution free, and inexhaustible It is important to operate PV energy conversion systems near the maximum power point to increase the output efficiency of PV arrays. The output power of PV arrays is always changing with weather conditions, i.e., solar irradiation and atmospheric temperature. Therefore, a MPPT control to extract maximum power from the PV arrays at real time becomes indispensable in PV generation system. In recent years, a large number of techniques have been proposed for tracking the maximum power point (MPP). Maximum power point tracking (MPPT) is used in photovoltaic (PV) systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the dc/dc converter, thus reducing the complexity of the system. The resulting system has high-efficiency; lower-cost this paper proposes a maximum-PowerPoint tracking (MPPT) method with a simple algorithm for photovoltaic (PV) power generation systems. The method is based on use of a Incremental conductance of the PV to determine an optimum operating current for the maximum output power. This work proposes on Investigation of Incremental conductance Based maximum Power Point Tracking for Photovoltaic System, to have the advantages of low frequency switching.
Pentosan Polysulfate: A Novel Therapy for the Mucopolysaccharidoses (2013)

Based on these findings we conclude that PPS could be a simple and effective therapy for MPS that might provide significant clinical benefits alone and in combination with other therapies.
Voice Conversion Using Dynamic Frequency Warping With Amplitude Scaling, for Parallel or Nonparallel Corpora (2011)

In Voice Conversion (VC), the speech of a source speaker is modified to resemble that of a particular target speaker. Currently, standard VC approaches use Gaussian mixture model (GMM)-based transformations that do not generate high-quality converted speech due to “over-smoothing” resulting from weak links between individual source and target frame parameters. Dynamic Frequency Warping (DFW) offers an appealing alternative to GMM-based methods, as more spectral details are maintained in transformation; however, the speaker timbre is less successfully converted because spectral power is not adjusted explicitly. Previous work combines separate GMM- and DFW-transformed spectral envelopes for each frame. This paper proposes a more effective DFW-based approach that (1) does not rely on the baseline GMM methods, and (2) functions on the acoustic class level. To adjust spectral power, an amplitude scaling function is used that compares the average target and warped source log spectra for each acoustic class. The proposed DFW with Amplitude scaling (DFWA) outperforms standard GMM and hybrid GMM-DFW methods for VC in terms of both speech quality and timbre conversion, as is confirmed in extensive objective and subjective testing. Furthermore, by not requiring time-alignment of source and target speech, DFWA is able to perform equally well using parallel or nonparallel corpora, as is demonstrated explicitly.
Enantiomerically Pure Polyheterocyclic Spiro-β-lactams from <i>trans</i>-4-Hydroxy-<scp>l</scp>-proline (2010)

The "Staudinger ketene-imine reaction" between ketenes generated from natural O,N-protected trans-4-hydroxy-l-prolines and the N-benzyl-N-benzylideneamine led to mixtures of diastereoisomeric, enantiomerically pure pyrrolidine-derived spiro-beta-lactams with a relative cis configuration. These were transformed into the corresponding pyrroline-spiro-beta-lactams by means of treatment with a base and the new C=C double bond was submitted to a number of different reactions in order to evaluate its reactivity and obtain new polyheterocyclic enantiomerically pure spiro-beta-lactams.
On invariants of Modular categories beyond modular data (2018)

We study novel invariants of modular categories that are beyond the modular data, with an eye towards a simple set of complete invariants for modular categories. Our focus is on the $W$-matrix--the quantum invariant of a colored framed Whitehead link from the associated TQFT of a modular category. We prove that the $W$-matrix and the set of punctured $S$-matrices are strictly beyond the modular data $(S,T)$. Whether or not the triple $(S,T,W)$ constitutes a complete invariant of modular categories remains an open question.
Thermomorphic Behavior of the Ionic Liquids [C<sub>4</sub>mim][FeCl<sub>4</sub>] and [C<sub>12</sub>mim][FeCl<sub>4</sub>] (2010)

The iron-containing ionic liquids 1-butyl-3-methylimidazolium tetrachloroferrate(III) [C(4)mim][FeCl(4)] and 1-dodecyl-3-methylimidazolium tetrachloroferrate(III) [C(12)mim][FeCl(4)] exhibit a thermally induced demixing with water (thermomorphism). The phase separation temperature varies with IL weight fraction in water and can be tuned between 100 °C and room temperature. The reversible lower critical solution temperature (LCST) is only observed at IL weight fractions below ca. 35 % in water. UV/Vis, IR, and Raman spectroscopy along with elemental analysis prove that the yellow-brown liquid phase recovered after phase separation is the starting IL [C(4)mim][FeCl(4)] and [C(12)mim][FeCl(4)], respectively. Photometry and ICP-OES show that about 40 % of iron remains in the water phase upon phase separation. Although the process is thus not very efficient at the moment, the current approach is the first example of an LCST behavior of a metal-containing IL and therefore, although still inefficient, a prototype for catalyst removal or metal extraction.
Continuous Particle Separation in Split-Flow Thin (SPLITT) Cells Using Hydrodynamic Lift Forces (1988)

Abstract In this paper we discuss the relationship between field-flow fractionation and split-flow thin (SPLITT) cell methodology, both of which utilize transverse driving forces to establish different transverse concentration profiles for various suspended particle populations carried by flow down a ribbonlike channel. It is shown that hydrodynamic lift forces can assume a particularly important role among the stable of forces available; when combined with certain other forces the lift forces lead to the formation of thin hyperlayers of particles distributed within the channel. The conditions necessary to split the channel flow into substreams containing different particle populations by SPLITT techniques are discussed. It is shown that the SPLITT system can be operated in either an equilibrium or a transport mode, both benefiting by the use of an inlet as well as an outlet flow splitter in the cell.
High-oleate yeast oil without polyunsaturated fatty acids (2018)

Oleate-enriched triacylglycerides are well-suited for lubricant applications that require high oxidative stability. Fatty acid carbon chain length and degree of desaturation are key determinants of triacylglyceride properties and the ability to manipulate fatty acid composition in living organisms is critical to developing a source of bio-based oil tailored to meet specific application requirements. We sought to engineer the oleaginous yeast Yarrowia lipolytica for production of high-oleate triacylglyceride oil. We studied the effect of deletions and overexpressions in the fatty acid and triacylglyceride synthesis pathways to identify modifications that increase oleate levels. Oleic acid accumulation in triacylglycerides was promoted by exchanging the native ∆9 fatty acid desaturase and glycerol-3-phosphate acyltransferase with heterologous enzymes, as well as deletion of the Δ12 fatty acid desaturase and expression of a fatty acid elongase. By combining these engineering steps, we eliminated polyunsaturated fatty acids and created a Y. lipolytica strain that accumulates triglycerides with > 90% oleate content. High-oleate content and lack of polyunsaturates distinguish this triacylglyceride oil from plant and algal derived oils. Its composition renders the oil suitable for applications that require high oxidative stability and further demonstrates the potential of Y. lipolytica as a producer of tailored lipid profiles.
Association of <i>IL1A</i> gene polymorphisms with susceptibility to and severity of systemic sclerosis in the Japanese population (2003)

Our observations suggest that the CTG haplotype of the IL1A gene may be an important marker for the susceptibility to, and the severity of, SSc.
Active wireless electrodes for surface electromyography (2002)

An active electrode with a built-in transmitter (named wireless electrode) is presented, which derives surface EMG without any skin preparation and conductive paste due to impedance transforming. Subjects are less restricted with the present wireless electrode than with the conventional telemetry system because of no connecting wires between the electrode and the transmitter. Moreover, it is not affected by noise caused by the movement of wires.
Mechanisms involved in the antiplatelet activity of <i>Escherichia coli</i> lipopolysaccharide in human platelets (1998)

In this study, Escherichia coli lipopolysaccharide (LPS) dose-dependently (100-300 microg/ml) and time-dependently (10-60 min) inhibited platelet aggregation in human platelets stimulated by agonists. LPS also dose-dependently inhibited the phosphoinositide breakdown and the intracellular Ca+2 mobilization in human platelets stimulated by collagen. LPS (300 microg/ml) also significantly inhibited the thromboxane A2 formation stimulated by collagen in human platelets. Moreover, LPS (100-300 microg/ml) dose-dependently decreased the fluorescence of platelet membranes tagged with diphenylhexatrience. In addition, LPS (200 and 300 microg/ml) significantly increased the formation of cyclic GMP but not cyclic AMP in platelets. LPS (200 microg/ml) also significantly increased the production of nitrate within a 30 min incubation period. Rapid phosphorylation of a platelet protein of Mr 47,000, a marker of protein kinase C activation, was triggered by phorbol-12-13-dibutyrate (PDBu, 50 nM). This phosphorylation was markedly inhibited by LPS (200 microg/ml) within a 30 min incubation period. These results indicate that the antiplatelet activity of LPS may be involved in two important pathways. (1) LPS may induce conformational changes in the platelet membrane, leading to change in the activity of phospholipase C. (2) LPS also activated the formation of nitric oxide (NO)/cyclic GMP in human platelets, resulting in inhibition of platelet aggregation. Therefore, LPS-mediated alteration of platelet function may contribute to bleeding diathesis in septicaemic and endotoxaemic patients.
Interleukin-6 neutralizing antibody attenuates the hypersecretion of airway mucus via inducing the nuclear translocation of Nrf2 in chronic obstructive pulmonary disease (2022)

Airway mucus hypersecretion is a vital pathophysiologic feature in chronic obstructive pulmonary disease (COPD) patients in which airflow limitation result, and it is key to strategizing in the management of COPD. To investigate the mechanisms underlying the action of interleukin-6 neutralizing antibody (IL-6 Ab) in attenuating airway mucus hypersecretion in COPD, human and mouse primary bronchial epithelial cells from COPD patients and mice were isolated, human organoid model of trachea was established and all treated with IL-6 and/or IL-6 Ab. The differential expression of Muc5ac and Nrf2 were determined in pDHBE compared to pNHBE cells via high-throughput sequencing of transcriptome. The serum concentration of Muc5ac was significantly elevated and positively correlated with IL-6 in COPD patients using ELISA, and the excessive mucus secretion was observed in the trachea of COPD patients using HE, AB-PAS and IHC staining. The levels of Muc5ac were significantly elevated in the IL-6-treated group, and diminished with IL-6 Ab treatment, both in vitro and in the organoid model using qRT-PCR, WB and IF. The expression levels of protein Muc5ac were significantly reduced in cells transfected with the IL-6 small interfering RNA (siRNA-IL-6), which was in contrast to the levels of protein Nrf2, and the protective effects of IL-6 Ab were inhibited in cells transfected with Nrf2 short hairpin RNA (shRNA-Nrf2). IL-6 Ab significantly attenuated hypersecretion of airway mucus by inducing nuclear translocation of Nrf2 in COPD. These findings indicated that IL-6 Ab may constitute a novel therapeutic agent for IL-6-induced airway mucus hypersecretion by improving airflow limitation in COPD patients.
COMPUTER SOFTWARE AVAILABILITY FOR VALUATION (Property Valuation, Development Appraisal and Portfolio Analysis) (1986)

Computer software, and indeed hardware, has not as yet captured the imagination of many practising valuers. There are a number of reasons for this. But micro‐computer software is available for property valuation, appraisal and analysis, and this software takes a number of forms. Care should be taken in choice, especially if the firm in question uses ‘traditional’ methods of valuation. It is clear that for those not already computerised the overall strategy of a firm, as regards its function and scope of practice, should be carefully considered. For those already computerised it is hoped that the article will provide valuable advice on software availability for valuation, appraisal and portfolio analysis, with particular reference to development appraisals.
On the Structure of Nonlinearities in Pose Graph (2012)

Pose graphs have become an attractive representation for solving Simultaneous Localization and Mapping (SLAM) problems. In this paper, we analyze the structure of the nonlinearities in the 2D SLAM problem formulated as the optimizing of a pose graph. First, we prove that finding the optimal configuration of a very basic pose graph with 3 nodes (poses) and 3 edges (relative pose constraints) with spherical covariance matrices, which can be formulated as a six dimensional least squares optimization problem, is equivalent to solving a one dimensional optimization problem. Then we show that the same result can be extended to the optimizing of a pose graph with "two anchor nodes" where every edge is connecting to one of the two anchor nodes. Furthermore, we prove that the global minimum of the resulting one dimensional optimization problem must belong to a certain interval and there are at most 3 minima in that interval. Thus the globally optimal pose configuration of the pose graph can be obtained very easily through the bisection method and closed-form formulas.
A phase I/II study of IMGN632, a novel CD123-targeting antibody-drug conjugate, in patients with relapsed/refractory acute myeloid leukemia, blastic plasmacytoid dendritic cell neoplasm, and other CD123-positive hematologic malignancies. (2020)

TPS7563 Background: Overexpression of CD123 occurs in multiple hematological malignancies, including acute myeloid leukemia (AML), blastic plasmacytoid dendritic cell neoplasm (BPDCN), acute lymphoblastic leukemia (ALL) and others, thus making this antigen an attractive target for the development of new therapeutics. IMGN632 is a CD123-targeting antibody-drug conjugate (ADC) comprising a novel anti-CD123 antibody coupled, via a peptide linker, to a unique DNA-alkylating cytotoxic payload of the recently developed IGN (indolinobenzodiazepine pseudodimer) class. Preclinically, IMGN632 has demonstrated potent activity against AML, BPDCN and ALL models, with a wide therapeutic index in animal models, as well as a 150-fold differential cytotoxicity in AML patient samples compared to normal hematopoietic progenitors (PMIDs: 29661755, 30361418). Remarkable sensitivity of BPDCN patient derived xenografts to IMGN632 has been demonstrated (Blood 2018 132:3956). Methods: This Phase I/II study comprises a dose escalation phase designed to establish the recommended phase II dose (RP2D) for IMGN632, as well as dose expansion cohorts to further explore the safety and preliminary anti-leukemia activity of IMGN632. Expansion cohorts were designed to evaluate the following patient populations: adult patients with relapsed or refractory BPDCN or patients with untreated BPDCN who are inappropriate for available therapies, patients with relapsed or refractory AML, or with other CD123+ relapsed or refractory hematologic malignancies including ALL. Inclusion criteria include up to four prior lines of therapy which may include transplant. Patients with active central nervous system disease, history of veno-occlusive disease of the liver, or history of grade IV capillary leak syndrome or non-cardiac grade IV edema are ineligible. Expansion cohorts for unfit frontline and relapsed/refractory BPDCN, and relapsed/refractory ALL continue to enroll at the RP2D (0.045 mg/kg Q3W). Clinical trial information: NCT03386513 .
Thermoresponsive <i>in Situ</i> Forming Hydrogel with Sol–Gel Irreversibility for Effective Methicillin-Resistant <i>Staphylococcus aureus</i> Infected Wound Healing (2019)

An <i>in situ</i> forming hydrogel has emerged as a promising wound dressing recently. As physically cross-linked hydrogels are normally unstable, most <i>in situ</i> forming hydrogels are chemically cross-linked. However, big concerns have remained regarding the slow gelation and the potential toxicity of residual functional groups from cross-linkers or the polymer matrix. Herein, we report a sprayable <i>in situ</i> forming hydrogel composed of poly(<i>N</i>-isopropylacrylamide<sub>166</sub>-<i>co</i>-<i>n</i>-butyl acrylate<sub>9</sub>)-poly(ethylene glycol)-poly(<i>N</i>-isopropylacrylamide<sub>166</sub>-<i>co</i>-<i>n</i>-butyl acrylate<sub>9</sub>) copolymer (P(NIPAM<sub>166</sub>-<i>co</i>-nBA<sub>9</sub>)-PEG-P(NIPAM<sub>166</sub>-<i>co</i>-nBA<sub>9</sub>), denoted as PEP) and silver-nanoparticles-decorated reduced graphene oxide nanosheets (Ag@rGO, denoted as AG) in response to skin temperature. This thermoresponsive hydrogel exhibits intriguing sol-gel irreversibility at low temperatures for the stable dressing of a wound, which is attributed to the inorganic/polymeric dual network and abundant coordination interactions between Ag@rGO nanosheets and PNIPAM. The biocompatibility and antibacterial ability against methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) of this PEP-AG hydrogel wound dressing are confirmed <i>in vitro</i> and <i>in vivo</i>, which could transparently promote the healing of a MRSA-infected skin defect.
Static analysis of deadends in SVA constraints (2010)

When sequential constraints are used in constrained random simulation, it is possible for the choice of solution for the constraints at any cycle to lead to a deadend at a later cycle. A deadend occurs when the constraints have no solution, which indicates a problem with the constraints. We describe a method to identify deadends for a set of SVA constraints and to generate additional SVA constraints that will prevent these deadends. The generated constraints provide insight into the nature of the deadends and help to resolve them. Our method for identifying deadends also makes use of an efficient technique for finding minimal unsatisfiable subsets of an unsatisfiable set of Boolean expressions.
Sensitive and Wearable Optical Microfiber Sensor for Human Health Monitoring (2018)

Abstract Silica‐fiber‐based sensors have the advantage of being small, electrically isolated, immune to electromagnetic fields, and easily incorporated into networks. However, only few of them were used for monitoring physiological signals directly, due to their limited sensitivity, comfort, and safety. In this work, a simple architecture for sensitive and wearable photonic sensors, which are capable of strain and pressure detection for healthcare applications is reported. The proposed sensor consists of a hybrid plasmonic microfiber knot resonator embedded in a polydimethylsiloxane membrane. The mechanical sensitivity is more than one order of magnitude larger than exhibited by traditional electronic devices or other fiber devices, including Bragg gratings. In addition, the sensing of wrist pulse, respiration, and finger pulse are also experimentally demonstrated. This novel photonic‐based platform may provide a new basis for designing sensitive and wearable sensors for personalized diagnostics and physiological monitoring applications. With their potential to be embedded into networks of smart clothing and remote health monitoring of patients, these sensors possessing great biocompatibility will have a distinguished advantage in military, aerospace, and medical applications, particularly in high‐magnetic‐field environments, e.g., magnetic resonance imaging.
Bringing Machine Learning and Compositional Semantics Together (2015)

Computational semantics has long been considered a field divided between logical and statistical approaches, but this divide is rapidly eroding with the development of statistical models that learn compositional semantic theories from corpora and databases. This review presents a simple discriminative learning framework for defining such models and relating them to logical theories. Within this framework, we discuss the task of learning to map utterances to logical forms (semantic parsing) and the task of learning from denotations with logical forms as latent variables. We also consider models that use distributed (e.g., vector) representations rather than logical ones, showing that these can be considered part of the same overall framework for understanding meaning and structural complexity.