gebhart/patrepeval huggingface dataset:
Learning Indirect Acquisition of Instrumental Gestures using Direct Sensors (2006)

Sensing instrumental gestures is a common task in interactive electroacoustic music performances. The sensed gestures can then be mapped to sounds, synthesis algorithms, visuals etc. Two of the most common approaches for acquiring these gestures are: 1) Hybrid instruments which are "traditional" musical instruments enhanced with sensors that directly detect gestures 2) Indirect acquisition in which the only measurement is the acoustic signal and signal processing techniques are used to acquire the gestures. Hybrid instruments require modification of existing instruments which is frequently undesirable. However they provide relatively straightforward and reliable measuring capability. On the other hand, indirect acquisition approaches typically require sophisticated signal processing and possibly machine learning algorithms in order to extract the relevant information from the audio signals. In this paper the idea of using direct sensors to train a machine learning model for indirect acquisition is explored. This approach has some nice advantages, mainly: 1) large amounts of training data can be collected with minimum effort 2) once the indirect acquisition system is trained no sensors or modifications to the playing instrument are required. Case studies described in paper include 1) strike position on a snare drum 2) strum direction on a sitar
Impact of a Stage IV NSCLC care pathway on front-line (FL) and maintenance (M) chemotherapy use at the Cleveland Clinic Taussig Cancer Institute (TCI). (2015)

6609 Background: Care pathways can reduce cancer care costs and variability in NSCLC. Effective implementation requires measurable outcomes and available data in near real-time. Methods: Between 10/1/13 and 7/7/14, TCI developed an evidence and value-based Stage IV NSCLC pathway. For patients with non-squamous EGFR WT/ALK neg NSCLC, ECOG PS 0-2 and sufficient renal function, FL carboplatin/pemetrexed (pem) followed by M pem is recommended standard care while bevacizumab (bev) is not. The pathway recommends best supportive care for pts with ECOG PS ≥ 3. To test feasibility, 4 academic thoracic and 12 community oncologists implemented the pathway into their practices starting 7/7/14. This analysis studies pathway impact on FL and M treatment decisions and charges in patients with metastatic non-squamous EGFR WT/ALK negative NSCLC. 57 pts meeting pathway criteria initiated care with these oncologists from 7/7/14 to 12/31/14 (Cohort A). A retrospective cohort (Cohort B) of 181 pts meeting similar criteria initiated care from 1/1/12 to 7/1/13. Care patterns were defined by manual chart review through 1/8/15. As only 1 Cohort A pt has progressed on M therapy, charge results assume pts who have initiated M pem will receive the same average of 5.11 doses seen in Cohort B. For Cohort B, actual FL and M therapy charges are reported. 3 Cohort B pts remain on M therapy. Results: Care patterns in Cohorts A and B were compared. 53 (93%) vs 128 (71%) (p = 0.0003) pts received pathway recommended FL care respectively. 42 (74%) vs 110 (61%) received chemotherapy (p = 0.0839). In pts receiving FL platinum-based regimens, 2 (6%) vs 35 (39%) received bev (p < 0.0001) outside of pathway recommendations. In Cohort A, 6 (32%) completing FL therapy initiated M therapy vs 36 (40%) in Cohort B. In pts completing FL therapy, FL and M drug charges per pt were an estimated $107,258 vs $205,431 (48% decrease). Conclusions: Implementation and measurement of adherence to a stage IV NSCLC pathway is feasible at an academic oncology practice with a regional network. This implementation led to a significant improvement in care variation and nearly 50% reduction in chemotherapy charges primarily through decreased bev use.
CLICK: a clustering algorithm with applications to gene expression analysis. (2000)

Novel DNA microarray technologies enable the monitoring of expression levels of thousands of genes simultaneously. This allows a global view on the transcription levels of many (or all) genes when the cell undergoes specific conditions or processes. Analyzing gene expression data requires the clustering of genes into groups with similar expression patterns. We have developed a novel clustering algorithm, called CLICK, which is applicable to gene expression analysis as well as to other biological applications. No prior assumptions are made on the structure or the number of the clusters. The algorithm utilizes graph-theoretic and statistical techniques to identify tight groups of highly similar elements (kernels), which are likely to belong to the same true cluster. Several heuristic procedures are then used to expand the kernels into the full clustering. CLICK has been implemented and tested on a variety of biological datasets, ranging from gene expression, cDNA oligo-fingerprinting to protein sequence similarity. In all those applications it outperformed extant algorithms according to several common figures of merit. CLICK is also very fast, allowing clustering of thousands of elements in minutes, and over 100,000 elements in a couple of hours on a regular workstation.
Understanding drivers of coaching relationship quality: the relationship between RCS and PQECR (2017)

Organizations are increasingly including executive coaching as part of their leadership development interventions to improve their executive leaders’ abilities. Previous studies have linked outstanding executive leader performance to an intentionally-developed relational climate. Therefore, the relational climate crafted between the coach and executive leader is critically important to create shared purpose, experience compassion, energize interactions, impact performance, and realize a quality, effective executive coaching engagement. Ours is the first study to explore relational climate as a driver of coaching relationship quality. Our empirical findings reflect that relational climate has a significant, positive impact on coaching relationship quality, which in turn contributes to an executive leader’s effectiveness. The three goals of this study are: 1) to understand the factors that contribute to crafting a quality and effective coaching relationship; 2) to address scholarly gaps in past research regarding the relationship between a coach and coachee; and 3) to provide clarity for practitioners how to better address, leverage, and realize an executive coaching relational climate. Those crafting effective and quality coaching relationships should ensure that there is shared vision between the coach and coachee, that both parties demonstrate compassion and that the coach and coachee each infuse the relationship with positive energy and vitality to create relational energy.
The Potential of Phosphinimines as Building Blocks for a New Generation of Radiopharmaceuticals (1993)

Abstract Reaction of Ph3P[dbnd]NSiMe3 with NH4ReO4 produced the ion pair Ph3P[dbnd]NH2 +ReO4- which was characterized by spectroscopic data and X-ray crystallography. The thermolysis of this ion pair gave the neutral Re(VII) complex: Ph3P[dbnd]N-ReO3 in good yields. The reactions of 99mTcO4- or 188ReO4- with Ph3P[dbnd]N-SiMe3 also produced the metallic radioisotope analogues of the ion pair: Ph3P[dbnd]NH2+MO4- (M = 99mTc or 188Re) which on heating produce the neutral species Ph3P[dbnd]N-MO3 (M = 99mTc or 188Re). The implications of such small molecule 99mTc or 188Re complexes for the development of a new genre of radiopharmaceuticals will be discussed.
Ultrafast birefringence induced by a femtosecond laser filament in gases (2009)

We demonstrate that a femtosecond-laser filament in both molecular and atomic gases is birefringent for a copropagating probe pulse. Any input-probe polarization is decomposed into two orthogonal components, the optical axis being in the pump polarization direction. In molecular gases, the birefringence is mainly due to the delayed rotational molecular-wave packet; the probe pulse thus experiences several revivals in time. The two probe components end up spatially separated in the far field. In atomic gases such as argon, the effect is weaker and is attributed to the instantaneous electronic cross-phase modulation.
Tilt angle effect on DC and AC performance of Halo PMOS (1996)

Halo structure is usually adopted in deep submicron MOS devices for off-state leakage current reduction. Tilt angle of the Halo implant determines dopant distribution which gives anti-punchthrough operation. In this paper, we investigate the impact of tile angle on both DC and AC performance of Halo PMOS device via 2-D simulations. For DC performance, it is found that same conduction current is obtained for all tilt angles at same leakage current level. This performance equivalence can be traced back to a self compensation between body factor and source resistance, and implies that low tilt angle should be adopted for Halo devices, as it gives small threshold voltage and thus high noise margin. For AC performance, it is found that at same leakage current level, all tilt angles give same gate-to-drain capacitance and that lower tilt angle gives smaller drain-to-bulk junction capacitance.
Optimal Logistics Activities Based Deep Learning Enabled Traffic Flow Prediction Model (2022)

Traffic flow prediction becomes an essential process for intelligent transportation systems (ITS). Though traffic sensor devices are manually controllable, traffic flow data with distinct length, uneven sampling, and missing data finds challenging for effective exploitation. The traffic data has been considerably increased in recent times which cannot be handled by traditional mathematical models. The recent developments of statistic and deep learning (DL) models pave a way for the effectual design of traffic flow prediction (TFP) models. In this view, this study designs optimal attention-based deep learning with statistical analysis for TFP (OADLSA-TFP) model. The presented OADLSA-TFP model intends to effectually forecast the level of traffic in the environment. To attain this, the OADLSA-TFP model employs attention-based bidirectional long short-term memory (ABLSTM) model for predicting traffic flow. In order to enhance the performance of the ABLSTM model, the hyperparameter optimization process is performed using artificial fish swarm algorithm (AFSA). A wide-ranging experimental analysis is carried out on benchmark dataset and the obtained values reported the enhancements of the OADLSA-TFP model over the recent approaches mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE) of 120.342%, 10.970%, and 8.146% respectively.
Potential and Bottlenecks of Bioreactors in 3D Cell Culture and Tissue Manufacturing (2009)

Over the last decade, we have witnessed an increased recognition of the importance of 3D culture models to study various aspects of cell physiology and pathology, as well as to engineer implantable tissues. As compared to well-established 2D cell-culture systems, cell/tissue culture within 3D porous biomaterials has introduced new scientific and technical challenges associated with complex transport phenomena, physical forces, and cell-microenvironment interactions. While bioreactor-based 3D model systems have begun to play a crucial role in addressing fundamental scientific questions, numerous hurdles currently impede the most efficient utilization of these systems. We describe how computational modeling and innovative sensor technologies, in conjunction with well-defined and controlled bioreactor-based 3D culture systems, will be key to gain further insight into cell behavior and the complexity of tissue development. These model systems will lay a solid foundation to further develop, optimize, and effectively streamline the essential bioprocesses to safely and reproducibly produce appropriately scaled tissue grafts for clinical studies.
White organic light-emitting device based on a compound fluorescent-phosphor-sensitized-fluorescent emission layer (2006)

The authors demonstrate a combination fluorescent and phosphor-sensitized-fluorescent white organic light-emitting device (WOLED), employing the conductive host material, 4,4′-bis(9-ethyl-3-carbazovinylene)-1,1′-biphenyl, doped with the phosphorescent green, and the fluorescent red and blue emitters, fac-tris(2-phenylpyridinato-N,C2′) iridium (III), 4-(dicyanomethylene)-2-t-butyl-6-(1,1,7,7-tetramethyljulolidyl-9-enyl)-4H-pyran, and 4,4′-bis (9-ethy-3-carbazolvinylene)-1-1′-biphenyl, respectively. Although two fluorescent dopants are employed along with only a single phosphor, this simple structure can, in principle, achieve 100% internal quantum efficiency. In the prototype, the phosphor-sensitized WOLED exhibits total external quantum and power efficiencies of ηext,tot=13.1±0.5% and ηp,tot=20.2±0.7lm∕W, respectively, at a luminance of 800cd∕m2 with Commission Internationale de L’Eclairage chromaticity coordinates of (x=0.38, y=0.42) and a color rendering index of 79.
Delithiation Mechanisms in Acid of Spinel LiMn2-xMxO4(M = Cr, Fe, Co, and Ni) Cathodes (2014)

The products formed by the chemical extraction of lithium from LiMn2-xMxO4 (M = Cr, Fe, Co, and Ni) with aqueous sulfuric acid have been structurally and chemically characterized. The amount of lithium extracted is found to be proportional to the initial Mn3+ content, confirming the reaction mechanism, LiMn3+Mn4+O4 → 0.75 Mn2O4 + 0.5 Li2O + 0.5 MnO. Thus, no lithium is extracted from LiMn1.54+Ni0.52+O4 as there is no Mn3+, while complete delithiation occurs in LiMn3+Mn4+O4 to give Mn2O4. The amount of lithium extracted from the other samples is in good agreement with that calculated from the Mn3+ content. The XRD data confirm the maintenance of the spinel structure for the delithiated samples, while the redox titration confirmed the maintenance of oxygen content at 4.0, indicating that no protons were inserted into the lattice during delithiation. The findings could provide more insight on the problem of metal dissolution from cathode materials in lithium-ion batteries.
Transcription factor TnrA inhibits the biosynthetic activity of glutamine synthetase in Bacillus subtilis (2013)

The Bacillus subtilis glutamine synthetase (GS) plays a dual role in cell metabolism by functioning as catalyst and regulator. GS catalyses the ATP-dependent synthesis of glutamine from glutamate and ammonium. Under nitrogen-rich conditions, GS becomes feedback-inhibited by high intracellular glutamine levels and then binds transcription factors GlnR and TnrA, which control the genes of nitrogen assimilation. While GS-bound TnrA is no longer able to interact with DNA, GlnR-DNA binding is shown to be stimulated by GS complex formation. In this paper we show a new physiological feature of the interaction between glutamine synthetase and TnrA. The transcription factor TnrA inhibits the biosynthetic activity of glutamine synthetase in vivo and in vitro, while the GlnR protein does not affect the activity of the enzyme.
A digital DS spread-spectrum receiver with joint channel and Doppler shift estimation (1991)

A digital spread-spectrum receiver design is presented for communication over multipath channels with severe Doppler shifts. The characteristics of the underwater channel relevant to spread-spectrum system design are discussed, and a channel model for short-range communications (less than 10 km) is defined. The receiver considered uses a digital coherent RAKE combiner, coupled with an extended Kalman filter (EKF)-based estimator for channel parameters and pseudonoise code delay. Receiver performance is evaluated by computing average bit-error rate (BER) versus iterations of the EKF joint estimator, using both fixed and time-varying channels. It is shown that the BER obtained using the EKF joint estimator closely tracks the optimum BER obtained when the channel, delay, and Doppler parameters are known exactly. Finally, the Cramer-Rao lower bound for time-invariant joint channel, delay, and Doppler estimation is derived, and compared with the ensemble averaged mean-squared error of the EKF estimator.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Turbo Equalization with Convolutional and LDPC Codes as well as Analytically Computed Metrics (2008)

This paper compares advanced electrical equalization schemes for intensity modulated high speed fiber optic transmission. The treated equalization schemes are based on the Turbo principle and apply convolutional as well as low-density parity-check (LDPC) codes with a forward error correction (FEC) overhead of 6.7%. A bit error rate (BER) and EXIT chart analysis based on a sophisticated channel model and analytically computed branch metrics for the BCJR and Viterbi equalizers give detailed insight into the performance and into the iterative equalization process, respectively.
Auto‐alloplastic transplantation of a primary canine after traumatic loss of a permanent central incisor (2001)

This report describes the transplantation of a primary canine after traumatic loss of a central incisor in an 8-year-old boy. The 7-month follow-up revealed normal periodontal healing with absence of infection, ankylosis or progressive resorption. The patient was then lost for control. After 16 months another trauma in the same patient resulted in an avulsion of the transplant. However, the alveolar bone was maintained in vertical and sagittal dimensions. Another primary canine was transplanted and followed for further 11 months. Again normal periodontal healing could be observed. The transplantation of a primary canine is seen as a promising method to replace a lost permanent tooth and maintain the surrounding tissues in very young patients.
Approaches to Secure Inference in the Internet of Things: Performance Bounds, Algorithms, and Effective Attacks on IoT Sensor Networks (2018)

The Internet of Things (IoT) improves pervasive sensing and control capabilities via the aid of modern digital communication, signal processing, and massive deployment of sensors but presents severe security challenges. Attackers can modify the data entering or communicated from the IoT sensors, which can have a serious impact on any algorithm using these data for inference. This article describes how to provide tight bounds (with sufficient data) on the performance of the best unbiased algorithms estimating a parameter from the attacked data and communications under any assumed statistical model describing how the sensor data depends on the parameter before attack. The results hold regardless of the unbiased estimation algorithm adopted, which could employ deep learning, machine learning, statistical signal processing, or any other approach. Example algorithms that achieve performance close to these bounds are illustrated. Attacks that make the attacked data useless for reducing these bounds are also described. These attacks provide a guaranteed attack performance in terms of the bounds regardless of the algorithms the unbiased estimation system employs. References are supplied that provide various extensions to all of the specific results presented in this article and a brief discussion of low-complexity encryption and physical layer security is provided.
Layer Specific Development of Neocortical Pyramidal to Fast Spiking Cell Synapses (2016)

All cortical neurons are engaged in inhibitory feedback loops which ensure excitation-inhibition balance and are key elements for the development of coherent network activity. The resulting network patterns are strongly dependent on the strength and dynamic properties of these excitatory-inhibitory loops which show pronounced regional and developmental diversity. Therefore we compared the properties and postnatal maturation of two different synapses between rat neocortical pyramidal cells (layer 2/3 and layer 5, respectively) and fast spiking (FS) interneurons in the corresponding layer. At P14, both synapses showed synaptic depression upon repetitive activation. Synaptic release properties between layer 2/3 pyramidal cells and FS cells were stable from P14 to P28. In contrast, layer 5 pyramidal to FS cell connections showed a significant increase in paired pulse ratio by P28. Presynaptic calcium dynamics also changed at these synapses, including sensitivity to exogenously loaded calcium buffers and expression of presynaptic calcium channel subtypes. These results underline the large variety of properties at different, yet similar, synapses in the neocortex. They also suggest that postnatal maturation of the brain goes along with increasing differences between synaptically driven network activity in layer 5 and layer 2/3.
FOUR-CHANNEL BIOSENSOR’S ANALYZER OF SACCHARIDES (2009)

The problems of realization of highly sensitive and precise conductometric biosensor systems are considered. Composition, structural schemes, software functions of multisensor analyzer of saccharides are described, general view is presented. Preliminary experimental research testifies that the system suggested allows separate determination of concentrations of saccharose, glucose, lactose and maltose with commercially necessary sensitivity. It can be a basis for development of modern analytical equipment for efficient concurrent measurement of concentrations of several saccharides in food industry.
Duplex scanning in vascular disorders (1990)

Historical Aspects. Traditional Methods of Patient Evaluation. Haemodynamics of the Normal Arterial and Venous System. Haemodynamics of Arterial Stenosis and Occlusion. Haemodynamics of Venous Occlusion and Valvular Incompetence. Extracranial Arterial Disease. Peripheral Arterial System. The Renal Arteries. The Mesenteric and Portal Circulation. Deep Venous Thrombosis and the Post-thrombotic Syndrome. Is There a Gold Standard for the Diagnosis of Vascualr Disease?
Beyond the measurement of QRS complex toward mechanical dyssynchrony: cardiac resynchronisation therapy in heart failure patients with a normal QRS duration: Figure 1 (2004)

Mechanical systolic dyssynchrony exists in many patients with heart failure, irrespective of QRS duration, and so more patients may derive benefit from cardiac resynchronisation therapy than previously considered.
Synthesis and Evaluation of Biotinylated Bivalent HistoBlood Group Antigens for Capturing Human Noroviruses (2018)

Human noroviruses are the leading cause of epidemic and sporadic gastroenteritis in the US,1 and cause approximately 18% of all diarrheal infections globally.2 Noroviruses are a genetically and antigenically diverse group of nonenveloped single-stranded RNA viruses with a diameter of 27–40 nm and a genome of 7.5–7.7 kilobases in length. At least 7 different genogroups have been recognized of which viruses belonging to GI and GII cause the vast majority of infections in humans.3 The most commonly used diagnostic method is RT-qPCR assay. However, it is expensive and requires well-trained personnel. Marionneau and coworkers reported that recombinant Norwalk virus-like particles (VLPs) were able to recognize two types of HBGA, H type 1 and H type 3 antigens in 2002.4 Since then, the HBGA binding profiles of a wide variety of different norovirus genotypes have been studied that showed multiple different binding patterns.5 Herein, we report the synthesis of biotinylated bivalent H-type glycans using a modular synthetic strategy. The biotin provides a good handle for facile conjugation to high capacity streptavidin coated magnetic beads and the captured norovirus can be subjected to PCR analysis. These glycoconjugates were used to recover human norovirus from fecal samples using a magnetic bead-based assay, which exhibited similar or better capturing ability compared to commercial biotinylated glycopolymers.6 Support or Funding Information NIAID (R33-AI100246) Substrates and Workflow of the Assay This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.