gebhart/patrepeval huggingface dataset:
Where Next for Leadership Development? Problems, Potential and Possibilities (2022)

Abstract This concluding chapter identifies where we might place our attention going forward and confirms the principles on which we should base our work. We do not mandate what should form best practice in leadership development, nor is there an attempt to forecast what might happen globally. We both encourage readers to base their efforts on evidence and point to arenas where there is a particular or pressing need for change, such as in the development of political leaders. This chapter addresses the continuing lack of systemic thinking and identifies ways in which pressures on leaders are increasing. It also shows how problems of mindset require consideration. The call for diversity will be unsurprising and ways leadership development can and should support this are offered; demand not supply-led, learning as a social process and a call to consider ‘teams’ in a far broader way than its metaphorical origins of ‘teams in competitions with winners and losers’. We could not end the book without addressing the virtual world into which leaders have been further catapulted recently due to Covid-19. We do not explore this creative landscape in all its exciting detail – that would be a book on its own. We more challenge the idea that the kind of person-centred, open, deeply-reflective and other-connected leadership development the organisational world needs will not be found solely online. This chapter concludes with a final call to action for all of us to base our work on research, theory and evidenced practice.
Data from A Phase I Trial of TB-403 in Relapsed Medulloblastoma, Neuroblastoma, Ewing Sarcoma, and Alveolar Rhabdomyosarcoma (2023)

&lt;div&gt;AbstractPurpose:&lt;p&gt;Placental growth factor (PlGF) and its receptor neuropilin 1 are elevated in malignant embryonal tumors and mediate tumor progression by promoting cell proliferation, survival, and metastasis. TB-403 is a blocking monoclonal antibody against PlGF that inhibits tumor growth and increases survival in orthotopic medulloblastoma models.&lt;/p&gt;Patients and Methods:&lt;p&gt;We conducted a phase I, open-label, multicenter, dose-escalation study of TB-403 in pediatric subjects with relapsed or refractory cancers. The study involved four dose levels (20 mg/kg, 50 mg/kg, 100 mg/kg, 175 mg/kg) using a 3 + 3 dose-escalation scheme. Subjects received two doses of TB-403 (days 1 and 15) per cycle. After cycle 1, temozolomide or etoposide could be added. The primary objective was to determine the maximum tolerated dose (MTD) of TB-403 monotherapy during a dose-limiting toxicity assessment period. The secondary and exploratory objectives included efficacy, drug pharmacokinetics, and detection of pharmacodynamic biomarkers.&lt;/p&gt;Results:&lt;p&gt;Fifteen subjects were treated in four dose levels. All subjects received two doses of TB-403 in cycle 1. Five serious treatment-emergent adverse events were reported in 3 subjects, but MTD was not reached. While no complete nor partial responses were observed, 7 of 11 relapsed subjects with medulloblastoma experienced stable disease, which persisted for more than 100 days in 4 of 7 subjects.&lt;/p&gt;Conclusions:&lt;p&gt;TB-403 was safe and well tolerated at all dose levels. No MTD was reached. The results look encouraging and therefore warrant further evaluation of efficacy in pediatric subjects with medulloblastoma.&lt;/p&gt;&lt;/div&gt;
TheC9ORF72Gene, Implicated in Amyotrophic Lateral Sclerosis and Frontotemporal Dementia, Encodes a Protein That Functions in Control of Endothelin and Glutamate Signaling (2018)

A GGGGCC repeat expansion in the <i>C9ORF72</i> (<i>C9</i>) gene is the most common known cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. Several mechanisms have been proposed to account for its toxicity, including the possibility that reduced C9 protein levels contribute to disease. To investigate this possibility, we examined the effects of reduced C9 levels in several cell systems. We first showed that C9 knockdown (KD) in U87 glioblastoma cells results in striking morphological changes, including vacuolization and alterations in cell size. Unexpectedly, RNA analysis revealed changes in expression of many genes, including genes involved in endothelin (EDN) signaling and immune system pathways and multiple glutamate cycling genes (e.g., <i>EAAT2</i>), which were verified in several cell models, including astrocytes and brain samples from C9-positive patients. Consistent with deregulation of the glutamate cycling genes, elevated intracellular glutamate was detected in both KD cells and patient astrocytes. Importantly, levels of mRNAs encoding EDN1 and its receptors, known to be elevated in ALS, were sharply increased by C9 KD, likely resulting from an observed activation of NF-κB signaling and/or a possible role of a C9 isoform in gene control.
Determination of the Absolute Configuration of Primary Amines in Polar NMR Solvents (2007)

Abstract N-(2-Nitrophenyl)proline (2-NPP) can be used in a wide range of solvents as an effective chiral auxiliary for the absolute configuration assignment of α-chiral primary amines. Even in competitive hydrogen-bonding solvents, 2-NPP amides of primary amines retain the conformation preference for intramolecular hydrogen bonding and produce significant anisotropic effects on the amine substituents. As a result, the absolute configuration can be assigned by comparing the 1H NMR spectra of diastereomeric 2-NPP amides recorded in polar NMR solvents.
Terpene hydroperoxide chemistry in citrus oils; reaction with endogenous aldehydes to form peroxyhemiacetals (2016)

Abstract Limonene and linalool are major components in many essential oils, and both readily autoxidize to form terpene hydroperoxides. These hydroperoxides are sensitizers capable of causing allergic contact dermatitis, so it is important to have accurate analytical methods for them in perfumery raw materials and formulations. This laboratory has previously reported a method to detect terpene hydroperoxides based on high‐performance liquid chromatography using a post‐column chemiluminescence reaction. Using this method, it was shown that peroxyhemiacetals formed by reaction of terpene hydroperoxides with endogenous aldehydes exist as components in common citrus oils. This was further substantiated by NMR analysis using a variety of techniques. Some percentage of the peroxyhemiacetals can dissociate back to the corresponding parent terpene hydroperoxides and aldehydes under certain conditions which are currently not fully understood, even if the polarity of the solvating environment appear to be important. However, gas chromatographic analysis indicates that there may also be alternative degradation pathways. The presence and chemical behaviour of peroxyhemiacetals must be studied further and analytically accounted for, if meaningful results are to be obtained in the context of the dermal sensitizing potency of a sample. Copyright © 2016 John Wiley &amp; Sons, Ltd.
Creation of Mixing Matrices for Signal Separation in Mobile Wireless Channels (2006)

Sets of linearly independent summations of RF signals have been studied as means to separate desired signals from interference and noise sources. The literature typically describes how to obtain and process these signal summations by spatially uncorrelated antenna elements, or in the case of spread spectrum encoded signals, by knowledge of their spreading codes. The existing literature however does not address all methods to increase the size of the signal summation set or the rank of the associated signal matrix. Exploitation of summations of this larger set will allow the separation of a larger number of signals, perform the separation with a smaller antenna array, and/or perform the signal separation in a more robust fashion. This paper will outline some techniques that may be used to produce such a richer set of signal sums.
Tools and Techniques for Efficient High-Level System Design on FPGAs (2014)

In order for FPGAs to be successful outside traditional markets, tools which enable software programmers to achieve high levels of system performance while abstracting away the FPGA-specific details are needed. DSPB Builder Advanced (DSPBA) is one such tool. DSPBA provides model-based design environment using Matlab's Simulink frontend that decouples the fully-algorithmic design description from the details of FPGA system generation. DSPBA offers several levels of debugging: from Simulink scopes to bit-accurate-simulation and silver reference models. It also offers the most comprehensive set of fixed-point, floating-point and signal-processing IPs available today. The combination of 7 floating-point precisions, fused-datapath support, custom operator support and automated folding allows exploring the best tradeoffs between accuracy, size and throughput. The DSPBA backend protects users from the details of device-dependent operator mapping offering both efficiency and prompt support for new devices and features such as the Arria10 floating-point cores. The collection of features available in DSPBA allows both unexperienced and expert users to efficiently migrate performance-crucial systems to the FPGA architecture.
Gang der Untersuchung (2023)

Die Arbeit beschäftigt sich mit der Schnittstelle zwischen Straf- und Aufsichtsrecht. Am Beispiel des § 54a KWG wird empirisch untersucht, wie sich das Strafrecht in Bereiche der prinzipienorientierten (Finanz-)Aufsicht einfügt. Um am kognitiven Potential der Institute zu partizipieren, normiert der Gesetzgeber mit § 25c Abs. 4a KWG prozedurale Anforderungen an das Risikomanagement und überlässt die konkrete Art der Umsetzung dieser Vorgaben den Instituten. Zugleich hat der Gesetzgeber mit § 54a KWG einen Verstoß gegen diese Risikomanagementvorgaben strafbewehrt. Dies führt zwangsläufig zu Spannungsverhältnissen – insbesondere mit den Zielen des Aufsichtsrechts und der vom Gesetzgeber normierten institutsinternen Wissensgenerierung.
Development of 123I labeled Exendin derivatives for the imaging of GLP-1 receptors on pancreatic {beta}-cell with SPECT (2011)

187 Objectives Pancreatic β-cell mass (BCM) decreases in the pathogenic mechanism of type 2 diabetes mellitus (T2DM). Some novel drugs are expected to suppress the decrease of BCM. We focused on glucagon-like peptide-1 (GLP-1) receptors, which are selectively expressed on pancreatic β-cells. Moreover, GLP-1 performs antidiabetic actions. Thus, the noninvasive detection of pancreatic GLP-1 receptors is hoped not only for the elucidation of the pathogenesis and the early diagnosis of T2DM but also for developing ideal treatment for T2DM. Then, noting that Exendin-4 can bind to GLP-1 receptors and is more stable than GLP-1 in vivo, we designed and evaluated 3-[123I]iodobenzoyl Exendin-4 ([123I]IB-Ex4)) as imaging probe for the detection of pancreatic GLP-1 receptors with SPECT. Methods The binding affinity of IB-Ex4 to the pancreatic islets from normal mice was evaluated in competition binding assays with 125I-labeled Exendin(9-39). The biodistribution after injection of [123I]IB-Ex4 was measured in normal mice. Using MIP-GFP mice, expressing GFP in pancreatic β-cells, the pancreas was harvested and cut in several pieces after injection of [125I]IB-Ex4, signals of fluorescence and radioactivity from sections of pancreas were compared. Moreover, SPECT was performed after injection of [123I]IB-Ex4 to normal mice. Results IB-Ex4 has high affinity to the pancreatic islets. In biodistribution study, accumulation in pancreas was 43.7±2.3 ID%/g at 30min after injection and the ratio of accumulation in pancreas to that in nearby organs were over 6. The comparison of signals of pancreas from MIP-GFP mice indicates specific binding of IB-Ex4 to β-cells. Moreover, in SPECT images, pancreas was distinctly visualized. Conclusions We demonstrated that newly synthesized [123I]IB-Ex4 derivatives have a potential as imaging probe detecting pancreatic GLP-1 receptors. [123I]IB-Ex4 will give the information for effective countermeasures for T2DM
Accelerated Materials Discovery Using Chemical Informatics Investigation of Polymer Physicochemical Properties and Transgene Expression Efficacy (2018)

Quantitative approaches to structure-property relationships are critical for the accelerated design and discovery of biomaterials in biotechnology and medicine. However, the absence of definitive structures, unlike those available for small molecules or 3D crystal structures available for some proteins, has limited the development of Quantitative Structure-Property Relationship (QSPR) models for investigating physicochemical properties and biological activity of polymers. In this study, we describe a combined experimental and cheminformatics paradigm for first developing QSPR models of polymer physicochemical properties, including molecular weight, hydrophobicity, and DNA-binding activity. Quantitative Structure-Activity Relationship (QSAR) models of polymer-mediated transgene expression were then developed using these physicochemical properties with an eye towards developing a novel two-step chemical informatics paradigm for determining biological activity (e.g., transgene expression) of polymer properties as related to physicochemical properties. We also investigated a more conventional approach in which biomaterial efficacy, i.e., transgene expression activity, was directly correlated to structural representations of the polymers used for delivering plasmid DNA. Our generalized chemical informatics approach can accelerate the discovery of polymeric biomaterials for several applications in biotechnology and medicine, including in nucleic acid delivery.
High Brightness InP Micropillars Grown on Silicon with Fermi Level Splitting Larger than 1 eV (2014)

The growth of III-V nanowires on silicon is a promising approach for low-cost, large-scale III-V photovoltaics. However, performances of III-V nanowire solar cells have not yet been as good as their bulk counterparts, as nanostructured light absorbers are fundamentally challenged by enhanced minority carriers surface recombination rates. The resulting nonradiative losses lead to significant reductions in the external spontaneous emission quantum yield, which, in turn, manifest as penalties in the open-circuit voltage. In this work, calibrated photoluminescence measurements are utilized to construct equivalent voltage-current characteristics relating illumination intensities to Fermi level splitting ΔF inside InP microillars. Under 1 sun, we show that splitting can exceed ΔF ∼ 0.90 eV in undoped pillars. This value can be increased to values of ΔF ∼ 0.95 eV by cleaning pillar surfaces in acidic etchants. Pillars with nanotextured surfaces can yield splitting of ΔF ∼ 0.90 eV, even though they exhibit high densities of stacking faults. Finally, by introducing n-dopants, ΔF of 1.07 eV can be achieved due to a wider bandgap energy in n-doped wurzite InP, the higher brightness of doped materials, and the extraordinarily low surface recombination velocity of InP. This is the highest reported value for InP materials grown on a silicon substrate. These results provide further evidence that InP micropillars on silicon could be a promising material for low-cost, large-scale solar cells with high efficiency.
Subpicosecond imaging system based on electrooptic effect (1996)

This work presents an ultrafast, interferometric electrooptic sampling system that uses a two-dimensional detector array to image the electric field present on a device. Spatial and temporal resolution are comparable to conventional "point" electrooptic sampling systems, <5 /spl mu/m and <1 ps, respectively. Voltage sensitivity is expected to be 270 mV and may achieve less than 4 mV with sensor cooling and a more effective electrooptic material. A coplanar silicon structure with 10-/spl mu/m feature size would have a field sensitivity of 27 kV/m and 400 V/m, respectively. This compares favorably with the reported sensitivity of 10/sup 5/ V/m for prior imagers and 10 V/m for point samplers. Applications for an E-field "imager" include characterization of field distributions in planar passive microwave devices, multiport analog and digital devices, and studying device and materials physics.
Monodispersed calcium carbonate nanoparticles modulate local pH and inhibit tumor growth in vivo (2015)

The acidic extracellular environment of tumors potentiates their aggressiveness and metastasis, but few methods exist to selectively modulate the extracellular pH (pHe) environment of tumors. Transient flushing of biological systems with alkaline fluids or proton pump inhibitors is impractical and nonselective. Here we report a nanoparticles-based strategy to intentionally modulate the pHe in tumors. Biochemical simulations indicate that the dissolution of calcium carbonate nanoparticles (nano-CaCO3) in vivo increases pH asymptotically to 7.4. We developed two independent facile methods to synthesize monodisperse non-doped vaterite nano-CaCO3 with distinct size range between 20 and 300 nm. Using murine models of cancer, we demonstrate that the selective accumulation of nano-CaCO3 in tumors increases tumor pH over time. The associated induction of tumor growth stasis is putatively interpreted as a pHe increase. This study establishes an approach to prepare nano-CaCO3 over a wide particle size range, a formulation that stabilizes the nanomaterials in aqueous solutions, and a pH-sensitive nano-platform capable of modulating the acidic environment of cancer for potential therapeutic benefits.
Experimental Investigation of the Joint Spatial and Polarisation Diversity for MIMO Radio Channel (2001)

This paper presents analysis of MIMO radio channel measurements. A description of both the measurement set-up and the picocell environment is given. The correlation properties of the MIMO radio channel are investigated considering different diversity techniques such as spatial, polarisation and joint spatial and polarisation diversity techniques. It is shown that a combination of space and polarisation diversity is an attractive solution for achieving compact MIMO implementation especially when a large number of antenna ports is considered. The issue of unbalanced Branch Power Ratio (BPR) is addressed and its influence on the power gain of the potential subchannel generated by the MIMO concept is analysed.
On Exploiting Logical Dependencies for Minimizing Additive Cost Metrics in Resource-Limited Crowdsensing (2015)

We develop data retrieval algorithms for crowd-sensing applications that reduce the underlying network bandwidth consumption or any additive cost metric by exploiting logical dependencies among data items, while maintaining the level of service to the client applications. Crowd sensing applications refer to those where local measurements are performed by humans or devices in their possession for subsequent aggregation and sharing purposes. In this paper, we focus on resource-limited crowd sensing, such as disaster response and recovery scenarios. The key challenge in those scenarios is to cope with resource constraints. Unlike the traditional application design, where measurements are sent to a central aggregator, in resource limited scenarios, data will typically reside at the source until requested to prevent needless transmission. Many applications exhibit dependencies among data items. For example, parts of a city might tend to get flooded together because of a correlated low elevation, and some roads might become useless for evacuation if a bridge they lead to fails. Such dependencies can be encoded as logic expressions that obviate retrieval of some data items based on values of others. Our algorithm takes logical data dependencies into consideration such that application queries are answered at the central aggregation node, while network bandwidth usage is minimized. The algorithms consider multiple concurrent queries and accommodate retrieval latency constraints. Simulation results show that our algorithm outperforms several baselines by significant margins, maintaining the level of service perceived by applications in the presence of resource-constraints.
Association of the M1VPRKAR1AMutation with Primary Pigmented Nodular Adrenocortical Disease in Two Large Families (2009)

In two large families, the M1V PRKAR1A mutation resulted in a PPNAD-only phenotype with significant variability both in terms of age of onset and clinical severity. Expression studies showed a unique effect of this sequence change. This study has implications for genetic counseling of carriers of this PRKAR1A mutation and patients with CNC and PPNAD and for the study of PRKAR1A-related tumorigenesis.
Single-Molecule Arrays for Protein and Nucleic Acid Analysis (2017)

The last few years have seen breakthroughs that will transform our ability to measure important analytes. Miniaturization of reaction volumes and confinement of analytes of interest into ultrasmall containers have greatly enhanced the sensitivity and throughput of many detection methods. Fabrication of microwell arrays and implementation of bead-based assays have been instrumental in the development of methods for measuring relevant biomolecules, with applications to both diagnostics and fundamental biological studies. In this review, we describe how microwell arrays are fabricated and utilized for measuring analytes of interest. We then discuss the fundamental concepts of digital enzyme-linked immunosorbent assay (ELISA) using single-molecule arrays and applications of microwell arrays to ultrasensitive protein measurements. We also explore the utility of microwell arrays for nucleic acid detection and applications for single-cell studies.
Combining Mass Spectrometric Metabolic Profiling with Genomic Analysis: A Powerful Approach for Discovering Natural Products from Cyanobacteria (2015)

An innovative approach was developed for the discovery of new natural products by combining mass spectrometric metabolic profiling with genomic analysis and resulted in the discovery of the columbamides, a new class of di- and trichlorinated acyl amides with cannabinomimetic activity. Three species of cultured marine cyanobacteria, Moorea producens 3L, Moorea producens JHB, and Moorea bouillonii PNG, were subjected to genome sequencing and analysis for their recognizable biosynthetic pathways, and this information was then compared with their respective metabolomes as detected by MS profiling. By genome analysis, a presumed regulatory domain was identified upstream of several previously described biosynthetic gene clusters in two of these cyanobacteria, M. producens 3L and M. producens JHB. A similar regulatory domain was identified in the M. bouillonii PNG genome, and a corresponding downstream biosynthetic gene cluster was located and carefully analyzed. Subsequently, MS-based molecular networking identified a series of candidate products, and these were isolated and their structures rigorously established. On the basis of their distinctive acyl amide structure, the most prevalent metabolite was evaluated for cannabinomimetic properties and found to be moderate affinity ligands for CB1.
Cloud and Cloud-Native Traffic Capture (2022)

The term “cloud computing” in the Information Technology (IT) world refers to the ability to run virtual instances of compute resources in a centralized data center with racks of physical servers and machines managed and offered as multitenant services by third parties. This new endowment to spin up on-demand compute resources in the cloud powered many businesses to host applications in a matter of minutes (if not seconds) at scale with the minimal skill set required to manage the resources yet without compromising resiliency. The term “cloud native” refers to the framework and architecture that introduces the ability of the applications to be hosted in such cloud environments to realize the maximum benefits offered by cloud computing.