gebhart/patrepeval huggingface dataset:
White-Light Emission of a Binary Light-Harvesting Platform Based on an Amphiphilic Organic Cage (2017)

White-light emissive materials with stable photophysical properties are of great importance for their potential applications in information display, fluorescent sensors, and optical-recording systems. Herein, an amphiphilic tetraphenylpyrazine (TPP)-based cage compound (TPP-Cage) was facilely synthesized by reaction of propeller-like TPP with aggregation-induced emission characteristics and triglycol monomethyl ether-substituted triazine. By immobilizing the twisted conformation of TPP, TPP-Cage showed obvious helical chirality in the solution and aggregated state. TPP-Cage emits strong deep blue fluorescence in solution due to the restriction of intramolecular rotation of the TPP unit. Its amphiphilic nature enables it to serve as an excellent light-harvesting platform to encapsulate diketopyrrolopyrrole (DPP) with aggregation-caused quenching effect in its hydrophobic cavity in aqueous medium, forming the DPP@TPP-Cage complex. Such inclusion prevents π–π stacking of DPP enabling it to emit strong yellow-light emission in the aggregated state. Due to the complementary emission colors of TPP-Cage and DPP, DPP@TPP-Cage exhibited stable white-light emission in the aggregated state and poly(ethylene glycol) film. This work not only introduces a promising strategy for development of chiral compounds through immobilization of propeller-like achiral molecules but also provides a prospective pathway for white-light emission based on supramolecular assembly.
Networking Challenges for Non-Terrestrial Networks Exploitation in 5G (2019)

The standardization process of the fifth generation of mobile communications (5G) is still ongoing and it will end in 2020 as scheduled. A lot of changes have been made from the previous generations involving different technologies, concepts, and paradigms, which will deeply affect the telecommunication infrastructure and its management. Besides, a higher number of use cases and application scenarios are envisioned in the near future. This will contribute to generate higher and higher traffic volumes from a higher number of connected devices/users with different performance requirements. Additional network resources are required to fulfill users' requirements in order to guarantee the expected Quality of Experience (QoE). The integration of Non-Terrestrial Networks (NTNs) within the 5G framework is under standardization and can lead to manifold advantages, such as coverage extension and additional communication link among many others. However, NTN integration is also leading to challenges related to the employment and adaptation to aerospace networks of technologies originally designed for terrestrial networks. This paper provides an overview of the role of NTNs in the 5G ecosystem, of the application scenarios that can benefit from the integration among terrestrial and non-terrestrial networks, and of some identified challenges from the networking viewpoint, which still require further analysis towards possible solutions.
Development of a leakage flux measurement system for condition monitoring of electrical drives (2011)

The aim of this paper is to investigate the possibility to employ a simple external flux coil to monitor the operating conditions of induction motors of different sizes, supplied at low voltage, from the mains or from power converters. The state of the art of the literature concerning the analysis of the stray flux around induction machines, in different positions and with different types of search coil, is here reported. Then, the flux probe here used is presented, together with several acquisitions of stray flux in three positions around the motor and with different techniques of signal analysis. These acquisitions are also compared with measurements collected by means of a commercial flux sensor. The final purpose is to find the best combination of position, sampling frequency, filter, etc. which can give the more interesting information about the “health” condition of the motor.
Effect of probiotic mix (Bifidobacterium bifidum, Bifidobacterium lactis, Lactobacillus acidophilus) in the primary prevention of eczema: a double‐blind, randomized, placebo‐controlled trial (2009)

Controversy exists regarding the preventive effect of probiotics on the development of eczema or atopic dermatitis. We investigated whether supplementation of probiotics prevents the development of eczema in infants at high risk. In a randomized, double-blind, placebo-controlled trial, 112 pregnant women with a family history of allergic diseases received a once-daily supplement, either a mixture of Bifidobacterium bifidum BGN4, B. lactis AD011, and Lactobacillus acidophilus AD031, or placebo, starting at 4-8 wks before delivery and continuing until 6 months after delivery. Infants were exclusively breast-fed during the first 3 months, and were subsequently fed with breastmilk or cow's milk formula from 4 to 6 months of age. Clinical symptoms of the infants were monitored until 1 yr of age, when the total and specific IgE against common food allergens were measured. A total of 68 infants completed the study. The prevalence of eczema at 1 yr in the probiotic group was significantly lower than in the placebo group (18.2% vs. 40.0%, p=0.048). The cumulative incidence of eczema during the first 12 months was reduced significantly in probiotic group (36.4% vs. 62.9%, p=0.029); however, there was no difference in serum total IgE level or the sensitization against food allergens between the two groups. Prenatal and postnatal supplementation with a mixture of B. bifidum BGN4, B. lactis AD011, and L. acidophilus AD031 is an effective approach in preventing the development of eczema in infants at high risk of allergy during the first year of life.
ONC201 induces cell death in pediatric non-Hodgkin's lymphoma cells (2015)

ONC201/TIC10 is a small molecule initially discovered by its ability to coordinately induce and activate the TRAIL pathway selectively in tumor cells and has recently entered clinical trials in adult advanced cancers. The anti-tumor activity of ONC201 has previously been demonstrated in several preclinical models of cancer, including refractory solid tumors and a transgenic lymphoma mouse model. Based on the need for new safe and effective therapies in pediatric non-Hodgkin's lymphoma (NHL) and the non-toxic preclinical profile of ONC201, we investigated the in vitro efficacy of ONC201 in non-Hodgkin's lymphoma (NHL) cell lines to evaluate its therapeutic potential for this disease. ONC201 caused a dose-dependent reduction in the cell viability of NHL cell lines that resulted from induction of apoptosis. As expected from prior observations, induction of TRAIL and its receptor DR5 was also observed in these cell lines. Furthermore, dual induction of TRAIL and DR5 appeared to drive the observed apoptosis and TRAIL expression was correlated linearly with sub-G1 DNA content, suggesting its potential role as a biomarker of tumor response to ONC201-treated lymphoma cells. We further investigated combinations of ONC201 with approved chemotherapeutic agents used to treat lymphoma. ONC201 exhibited synergy in combination with the anti-metabolic agent cytarabine in vitro, in addition to cooperating with other therapies. Together these findings indicate that ONC201 is an effective TRAIL pathway-inducer as a monoagent that can be combined with chemotherapy to enhance therapeutic responses in pediatric NHL.
High Anionic Conductive Form of PbxSn2–xF4 (2019)

A high anionic conductivity of ∼3.5 × 10–3 S cm–1 at room temperature is achieved for PbxSn2–xF4 (x = 1.21) obtained by annealing a mechanically milled PbF2/SnF2 mixture at 400 °C. The observed synchrotron X-ray diffraction patterns indicate formation of a new tetragonal phase at x = 1.1–1.3. The Rietveld analysis of the neutron diffraction patterns leads to a unique structure consisting of two alternating layers, namely, a double Pb layer and a triple layer, each flanked by a single Sn layer. As the Rietveld analysis does not fully converge, the authors further apply high-resolution solid-state NMR (19F, 119Sn, and 207Pb) to confirm the structure. Further, the 19F-207Pb cross-polarization experiment shows that most F– ions, except for those that lie between the double Pb layers, contribute to its high ionic conductivity. The high conductivity is also attributed to structural flexibility of the triple Pb layers, indicated by temperature-dependent 207Pb NMR spectra.
Behavior Trees for decision-making in Autonomous Driving (2016)

This degree project investigates the suitability of using Behavior Trees (BT) as an architecture for the behavioral layer in autonomous driving. BTs originate from video game development but have received attention in robotics research the past couple of years. This project also includes implementation of a simulated traffic environment using the Unity3D engine, where the use of BTs is evaluated and compared to an implementation using ﬁnite-state machines (FSM). After the initial implementation, the simulation along with the control architectures were extended with additional behaviors in four steps. The different versions were evaluated using software maintainability metrics (Cyclomatic complexity and Maintainability index) in order to extrapolate and reason about more complex implementations as would be required in a real autonomous vehicle. It is concluded that as the AI requirements scale and grow more complex, the BTs likely become substantially more maintainable than FSMs and hence may prove a viable alternative for autonomous driving.
How Chemical Composition Alone Can Predict Vibrational Free Energies and Entropies of Solids (2017)

Computing vibrational free energies (Fvib) and entropies (Svib) has posed a long-standing challenge to the high-throughput ab initio investigation of finite temperature properties of solids. Here, we use machine-learning techniques to efficiently predict Fvib and Svib of crystalline compounds in the Inorganic Crystal Structure Database. Using descriptors based simply on the chemical formula and using a training set of only 300 compounds, mean absolute errors of less than 0.04 meV/K/atom (15 meV/atom) are achieved for Svib (Fvib), whose values are distributed within a range of 0.9 meV/K/atom (300 meV/atom.) In addition, for training sets containing fewer than 2000 compounds, the chemical formula alone is shown to perform as well as, if not better than, four other more complex descriptors previously used in the literature. The accuracy and simplicity of the approach means that it can be advantageously used for fast screening of chemical reactions at finite temperatures.
Differential effects of environment on potato phenylpropanoid and carotenoid expression (2012)

Analysis of tuber secondary metabolism showed interesting relationships among different metabolites in response to collective environmental influences, even under conditions that minimize stress. The variation in metabolites shows the considerable phenotypical plasticity possible with tuber secondary metabolism and raises questions about to what extent these pathways can be stimulated by environmental cues in a manner that optimizes tuber phytonutrient content while protecting yields. The differences in secondary metabolites may be sufficient to affect nutritional quality.
Relaxation and edge reconstruction in integer quantum Hall systems (2012)

The interplay between the confinement potential and the electron–electron interactions causes reconstructions of quantum Hall edges. We study the consequences of this edge reconstruction for the relaxation of hot electrons injected into integer quantum Hall edge states. In translationally invariant edges, the relaxation of hot electrons is governed by three-body collisions, which are sensitive to the electron dispersion and thus to reconstruction effects. We show that the relaxation rates are significantly altered in different reconstruction scenarios.
Pd–Ag/SiO2 bimetallic catalysts prepared by galvanic displacement for selective hydrogenation of acetylene in excess ethylene (2015)

A series of bimetallic Pd–Ag/SiO<sub>2</sub> catalysts with Ag enriched on the surface were prepared by galvanic displacement. The bimetallic effect for these catalysts on acetylene hydrogenation was discussed.
Auto-encoding of discriminating morphometry from cardiac MRI (2014)

We propose a fully-automatic morphometric encoding targeted towards differentiating diseased from healthy cardiac MRI. Existing encodings rely on accurate segmentations of each scan. Segmentation generally includes labour-intensive editing and increases the risk associated with intra- and inter-rater variability. Our morphometric framework only requires the segmentation of a template scan. This template is non-rigidly registered to the other scans. We then confine the resulting deformation maps to the regions outlined by the segmentations. We learn a manifold for each region and identify the most informative coordinates with respect to distinguishing diseased from healthy scans. Compared with volumetric measurements and a deformation-based score, this encoding is much more accurate in capturing morphometric patterns distinguishing healthy subjects from those with Tetralogy of Fallot, diastolic dysfunction, and hypertrophic cardiomyopathy.
Chemical agent resistant coating (CARC) detection using Hyper-Spectral Imager (HSI) and a newly developed Feature Transformation (FT) detection method (2015)

Chemical Agent Resistant Coating (CARC) is the term for the paint commonly applied to military vehicles which provides protection against chemical and biological weapons. In this paper, we present results for detecting CARC with two different colors (Green and Beige). A High-Fidelity Target Insertion Method has been developed. This method allows one to insert the target radiance into any HSI sensor scene, while still to preserve the sensor spatio-spectral noise at all the pixel positions. We show that the reduced (400-1,000nm) spectral range is good enough for Beige CARC, and Green CARC Type I and II detection using several current state-of-the-art HSI target detection methods. Furthermore, we will present a newly developed Feature Transformation (FT) algorithm. In essence, the FT method, by transforming the original features to a different feature domain (e.g., the Fourier, wavelet packets, and local cosine domains), may considerably increase the statistic separation between the target and background probability density functions, and thus may significantly improve the target detection and identification performance, as evidenced by the test results in this paper. We show that by differentiating the original spectral features (this operation can be considered as the 1st level Haar wavelet high-pass filtering), we can completely separate Beige CARC from the background using a single band at 650nm, and completely separate Green CARC from the background using a single band at 1180nm, leading to perfect detection results. We have developed an automated best spectral band selection process that can rank the available spectral bands from the best to the worst for target detection. Finally, we have also developed an automated crossspectrum fusion process to further improve the detection performance in lower spectral range (&lt;1,000nm) by selecting the best spectral band pair.
Results of the Barrett True-K formula for IOL power calculation based on Scheimpflug camera measurements in eyes with previous myopic excimer laser surgery (2020)

Using historical data and measured posterior corneal power improved the refractive accuracy of the Barrett True-K formula in eyes with previous myopic excimer laser surgery.
Switching the Role of NFC Tag and Reader for the Implementation of Smart Posters (2012)

Benefits and opportunities of NFC technology have been discussed for many years. Continuous promises of handset manufacturers to embed this technology into their series of devices anytime soon have been fulfilled only partly so far. Contrasting with that, research and practice have outlined a number of applications that yield great attention among users. Among these applications are Smart Posters. However, the prevailing low market penetration of NFC-equipped smart phones poses a barrier for the implementation of many Smart Poster scenarios. Accordingly, for certain scenarios this paper proposes to switch the role between fixed tags and mobile phones by affixing mobile phones to posters and hand out the much cheaper tags to the users instead. The paper describes the approach and shows its feasibility by reporting lessons learned of a case study.
Article 24 Implementing acts (2021)

The purpose of the European directives on corporate law is to enable businesses to be set up anywhere in the EU, to provide protection for shareholders and other parties with a particular interest in companies, to make business more efficient and competitive, and to encourage businesses based in different EU countries to cooperate with each other.
Broad HIV-1 inhibition in vitro by vaccine-elicited CD8+ T cells in African adults (2016)

We are developing a pan-clade HIV-1 T-cell vaccine HIVconsv, which could complement Env vaccines for prophylaxis and be a key to HIV cure. Our strategy focuses vaccine-elicited effector T-cells on functionally and structurally conserved regions (not full-length proteins and not only epitopes) of the HIV-1 proteome, which are common to most global variants and which, if mutated, cause a replicative fitness loss. Our first clinical trial in low risk HIV-1-negative adults in Oxford demonstrated the principle that naturally mostly subdominant epitopes, when taken out of the context of full-length proteins/virus and delivered by potent regimens involving combinations of simian adenovirus and poxvirus modified vaccinia virus Ankara, can induce robust CD8(+) T cells of broad specificities and functions capable of inhibiting in vitro HIV-1 replication. Here and for the first time, we tested this strategy in low risk HIV-1-negative adults in Africa. We showed that the vaccines were well tolerated and induced high frequencies of broadly HIVconsv-specific plurifunctional T cells, which inhibited in vitro viruses from four major clades A, B, C, and D. Because sub-Saharan Africa is globally the region most affected by HIV-1/AIDS, trial HIV-CORE 004 represents an important stage in the path toward efficacy evaluation of this highly rational and promising vaccine strategy.
Developmental changes in inhibitory effects of arsenic and heat shock on growth of pre‐implantation bovine embryos (2002)

Although sensitive to various disrupters, pre-implantation embryos possess some cellular cytoprotective mechanisms that allow continued survival in the face of a deleterious environment. For stresses such as heat shock, embryonic resistance increases as development proceeds. Present objectives were to determine whether (1) arsenic compromises development of pre-implantation bovine embryos, (2) developmental changes in embryonic resistance to arsenic mimic those seen for resistance to heat shock, and (3) developmental patterns in induction of apoptosis by arsenic are correlated with similar changes in resistance of embryos to inhibitory effects of arsenic on development. Bovine embryos produced by in vitro fertilization were exposed at the two-cell stage or at day 5 after insemination (embryos > or = 16-cells in number) to either sodium arsenite (0, 1, 5, or 10 microM) or heat shock (exposure to 41 degrees C for 0, 3, 4.5, 6, or 9 hr). Arsenic induced apoptosis and increased group 2 caspase activity for embryos at the > or = 16-cell stage, but not for embryos at the two-cell stage. In contrast to these developmental changes in apoptosis responses, exposure to arsenic reduced cell number 24 hr after exposure for both two-cell embryos and embryos > or = 16-cells. Similarly, the percentage of embryos that developed to the blastocyst stage at day 8 after fertilization was reduced by arsenic exposure at both stages of development. Heat shock, conversely, reduced development to the blastocyst stage when applied at the two-cell stage, but not when applied to embryos > or = 16-cells at day 5 after insemination. In conclusion, arsenic can compromise development of bovine pre-implantation embryos, the temporal window of sensitivity of embryos to arsenic is wider than for heat shock, and cellular cytoprotective responses that embryos acquire for thermal resistance are not sufficient to cause increased embryonic resistance to arsenic exposure. It is likely that despite common cellular pathologies caused by arsenic and heat shock, arsenic acts to reduce development in part through biochemical pathways not activated by heat shock. Moreover, the embryo does not acquire significant resistance to these perturbations within the time frame in development examined.
Optimal Precoding for Multiuser MIMO Systems With Phase Quantization and PSK Modulation via Branch-and-Bound (2020)

With an increasing number of antennas in MIMO systems, the energy consumption and costs of the corresponding front ends become relevant. In this context, a promising approach is the consideration of low-resolution data converters. In this letter we propose an optimal precoding algorithm constrained to constant envelope signals and phase quantization that maximizes the minimum distance to the decision threshold at the receivers using a branch-and-bound strategy. The proposed algorithm is superior to the existing methods in terms of bit error rate. Numerical results show that the proposed approach has significantly lower complexity than exhaustive search.
Collaborative Three-Tier Architecture Non-contact Respiratory Rate Monitoring using Target Tracking and False Peaks Eliminating Algorithms (2020)

Monitoring the respiratory rate is crucial for helping us identify respiratory disorders. Devices for conventional respiratory monitoring are inconvenient and scarcely available. Recent research has demonstrated the ability of non-contact technologies, such as photoplethysmography and infrared thermography, to gather respiratory signals from the face and monitor breathing. However, the current non-contact respiratory monitoring techniques have poor accuracy because they are sensitive to environmental influences like lighting and motion artifacts. Furthermore, frequent contact between users and the cloud in real-world medical application settings might cause service request delays and potentially the loss of personal data. We proposed a non-contact respiratory rate monitoring system with a cooperative three-layer design to increase the precision of respiratory monitoring and decrease data transmission latency. To reduce data transmission and network latency, our three-tier architecture layer-by-layer decomposes the computing tasks of respiration monitoring. Moreover, we improved the accuracy of respiratory monitoring by designing a target tracking algorithm and an algorithm for eliminating false peaks to extract high-quality respiratory signals. By gathering the data and choosing several regions of interest on the face, we were able to extract the respiration signal and investigate how different regions affected the monitoring of respiration. The results of the experiment indicate that when the nasal region is used to extract the respiratory signal, it performs experimentally best. Our approach performs better than rival approaches while transferring fewer data.