gebhart/patrepeval huggingface dataset:
Wideband Dipoles on Electromagnetic Bandgap Ground Planes (2007)

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The performance of broadband dipole antennas above electromagnetic bandgap (EBG) structures is investigated. Two different structures are examined. One is a diamond dipole over an EBG with square patch elements optimized by hand and the other an open sleeve dipole over an EBG optimized by a genetic algorithm (GA). Both configurations demonstrate that a low profile dipole antenna over an EBG can have a broad bandwidth. Careful design of both is required and in particular for best results, the antenna-EBG system should be optimized together, rather than as separate components. The performance is compared to an absorber backed wideband dipole antenna and it is found that the gain is significantly increased, whilst the bandwidth is reduced. In general, for the diamond dipole antenna return loss bandwidths of over 2:1 (67%) have been achieved, although radiation pattern control is difficult and reduces the bandwidth to the order of 1.4:1 (33%). The sleeve dipole over an EBG achieved a bandwidth of 1.28:1 (26%). The realized gain, which is power gain reduced by input match loss, of both structures are approximately the same. GA optimization and parametric studies seem to suggest that bandwidths significantly greater than these are difficult to achieve. </para>
Materials and Wearable Devices for Autonomous Monitoring of Physiological Markers (2018)

Abstract Wearable devices are gaining considerable attention owing to the ease with which they can collect crucial information in real‐time, both continuously and noninvasively, regarding a wearer's health. A concise summary is given of the three main elements that enable autonomous detection and monitoring of the likelihood or the existence of a health‐risk state in continuous and real‐time modes, with an emphasis on emerging materials and fabrication techniques in the relevant fields. The first element is the sensing technology used in the noninvasive detection of physiological markers relevant to the state of health. The second element is self‐powered devices for longer periods of use by drawing energy from bodily movement and temperature. The third element is the self‐healing properties of the materials used in the wearable devices to extended usage if they become scratched or cut. Promises and challenges of the separately reviewed parts and the combined parts are presented and discussed. Ideas regarding further improvement of skin‐based wearable devices are also presented and discussed.
Assessing the Potential and Optimal Scheduling of an Integrated Pumped Hydro Reverse Osmosis System for Egypt (2022)

Energy storage and water desalination are two fields where Egypt is intensively investing in to plan for the current and future energy and water demands as well as commit to its sustainability targets, Integrated Pumped hydro Reverse osmosis System "IPHROS" is a system that combines both water production and energy storage, its operating schedule in studied in multiple scenarios that represent current status and future trends.The system is modeled as an unconstrained price taker, this revenue scheme starts yielding a positive re-turn on investments when higher renewables penetration are added to the grid but also in-creases the overall grid emissions, the IPHROS was also modeled in an off-grid scenario to provide energy and fresh water to a hydrogen electrolyzer, which proved to be the most profitable scenario for IPRHOS.
ChemInform Abstract: Intramolecular Hydrogen Bonding in Acylated 2,2′‐Bipyridine‐3,3′‐ diamines. (1995)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Anxiety and Depression in Autistic College Students: The Freshman Survey Results (2023)

Objective Mental health among undergraduate students is a growing concern in higher education, but relatively little is known about the mental health of autistic college students. In order to better understand the unique needs of this population, the present study examines whether demographic and psychosocial correlates of anxiety and depression differ in autistic first-year college students and their non-autistic peers. Methods Secondary data analysis was conducted utilizing population-weighted data of full-time college students in their first year attending four-year colleges and universities in 2016, 2018, and 2019. Autistic and non-autistic students who self-identified as having frequent anxiety or depression were compared in terms of demographic characteristics, physical and emotional health, and academic aspirations and achievement. Results The majority of first-year students with frequent anxiety or depression in this sample tended to be white and had parents who completed a bachelor's degree or went to graduate school, with higher rates of male students in the autistic group. While autistic college freshmen with frequent anxiety or depression self-report lower overall quality of physical health (below average or lowest 10% reported by 57.3% vs. 37.1%) and higher rates of learning disabilities (25.3% vs. 4.6%) and psychological disorders (62.3% vs. 29.3%), these students also tend to outperform their non-autistic peers on standardized academic testing. Conclusion As autistic students are investing in themselves through their education and future careers, practitioners and researchers alike should be investing in accessible physical and mental health services in order to help set autistic students up for success in college and beyond.
Least Positive Residues and the Quadratic Character of Two (1980)

Let be the least positive residue modulo 2 tk of (2 j- l ) h . Define u t to be the number of with l≤j≤2 t-2 k such that . At the Special Session in Combinatorial Number Theory at the 1977 Summer AMS Meeting Szekeres [2] asked for a simple proof that if ( h , 2 k )=1, then Here a simple proof will be given for the following equivalent result.
Ising-like behaviour of mesoscopic magnetic chains (2018)

We demonstrate an experimental realization of the short range magnetic order in a one-dimensional Ising chain using fabricated mesospins. We confirm an excellent agreement between the experimental findings and simulations obtained using the original Ising model. In particular, we are able to show that the thermal behaviour of the mesoscopic Ising chain dominates over the thermal behaviour of the individual mesospins themselves, confirming that fabricated mesospins can be viewed as artificial magnetic atoms.
Downlink MIMO Block Diagonalization in the Presence of Other-Cell Interference (2007)

Block diagonalization is one approach for linear preceding in the multiple-input multiple-output broadcast channel that sends multiple interference free data streams to different users in the same cell. Unfortunately, block diagonalization neglects other cell interference, which limits the performance of users at the edge of the cell. This paper presents an OCI-aware enhancement to block diagonalization that uses a whitening filter for interference suppression at the receiver and a novel precoder using the interference-plus-noise covariance matrix for each user at the transmitter. For complex Gaussian matrix channels, the asymptotic sum rate of the proposed system is analyzed under a large antenna assumption for isotropic inputs and compared to conventional block diagonalization.
Nucleic acids encoding mosaic clade M human immunodeficiency virus type 1 (HIV-1) envelope immunogens (2023)

The present invention relates to nucleic acids encoding mosaic clade M HIV-1 Env polypeptides and to compositions and vectors comprising same. The nucleic acids of the invention are suitable for use in inducing an immune response to HIV-1 in a human.
Supplementary Figure 2 from Engineered Thio-Trastuzumab-DM1 Conjugate with an Improved Therapeutic Index to Target Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer (2023)

Supplementary Figure 2 from Engineered Thio-Trastuzumab-DM1 Conjugate with an Improved Therapeutic Index to Target Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer
Benchmark Networks for Grid Integration Impact Studies of Large PV Plants (2012)

&lt;p&gt;The increased amount of Photovoltaic (PV) power installed into the power system every year places this renewable way of producing electricity on the third position in the renewable sources hierarchy after hydro and wind solutions. Having significant levels of renewable power penetration into the system led to stability concerns of the entire system affecting its reliability and availability. In consequence system operators such as the European Network of Transmission System Operators for Electricity (ENTSO-E) had an immediate response imposing strict operating regulations in order to keep the system stable and harmonize the operation of the renewable plants with the entire system. For this purpose valid grid benchmarks such as IEEE 12 bus system for High Voltage (HV) and Cigré benchmark cell model for Medium Voltage (MV) have to be developed, tested together and prove that in the future power system with large PV penetration levels on every level, the system continues to be reliable and redundant.&lt;/p&gt;
Inside Cover: Surface‐Functionalized Ionic Liquid Crystal–Supported Ionic Liquid Phase Materials: Ionic Liquid Crystals in Mesopores (ChemPhysChem 18/2011) (2011)

The picture shows the temperature-switchable molecular structure of an ionic liquid crystal, confined as a thin film in a porous material. This work is presented on p. 3539 by P. Wasserscheid, J. Libuda, K. Meyer et al.
Run-time cache bypassing (1999)

The growing disparity between processor and memory performance has made cache misses increasingly expensive. Additionally, data and instruction caches are not always used efficiently, resulting in large numbers of cache misses. Therefore, the importance of cache performance improvements at each level of the memory hierarchy will continue to grow. In numeric programs, there are several known compiler techniques for optimizing data cache performance. However, integer (nonnumeric) programs often have irregular access patterns that are more difficult for the compiler to optimize. In the past, cache management techniques such as cache bypassing were implemented manually at the machine-language-programming level. As the available chip area grows, it makes sense to spend more resources to allow intelligent control over the cache management. In this paper, we present an approach to improving cache effectiveness, taking advantage of the growing chip area, utilizing run-time adaptive cache management techniques, optimizing both performance and cost of implementation. Specifically, we are aiming to increase data cache effectiveness for integer programs. We propose a microarchitecture scheme where the hardware determines data placement within the cache hierarchy based on dynamic referencing behavior. This scheme is fully compatible with existing instruction set architectures. This paper examines the theoretical upper bounds on the cache hit ratio that cache bypassing can provide for integer applications, including several Windows applications with OS activity. Then, detailed trace-driven simulations of the integer applications are used to show that the implementation described in this paper can achieve performance close to that of the upper bound.
Analysis of hot-carrier-induced degradation and snapback in submicron 50 V lateral MOS transistors (2002)

Hot-carrier-induced problems for 50 V ENMOS and LDMOS devices implemented in a 0.8 /spl mu/m CMOS process have been analyzed by monitoring the backgate current and by using 2D high-voltage on-state device simulations.
A model for data integration systems of biomedical data applied to online genetic databases. (2001)

We present a general model for data integration systems using a mediated schema to represent commonalities in the underlying sources. These sources are mapped to the mediated schema using source descriptions. Users can pose queries against the mediated schema, allowing the system to generate automatically a query plan that enumerates and ranks all possible ways in which the query could be answered. We apply this approach to the domain of online genetic databases, demonstrating the system s ability to answer relevant queries across multiple sources.
Supplementary Figure 5 from Cross-Species Functional Analysis of Cancer-Associated Fibroblasts Identifies a Critical Role for CLCF1 and IL-6 in Non–Small Cell Lung Cancer <i>In Vivo</i> (2023)

&lt;p&gt;PDF file - 46K, Clcf1- and il6-expressing NFs enhance tumor growth in vivo&lt;/p&gt;
The Quantum and Classical Streaming Complexity of Quantum and Classical Max-Cut (2022)

We investigate the space complexity of two graph streaming problems: MAX-CUT and its quantum analogue, QUANTUM MAX-CUT. Previous work by Kapralov and Krachun [STOC 19] resolved the classical complexity of the classical problem, showing that any (2 – ε)-approximation requires Ω(n) space (a 2-approximation is trivial with O(log n) space). We generalize both of these qualifiers, demonstrating Ω(n) space lower bounds for (2 – ε)-approximating MAX-CUT and QUANTUM MAX-CUT, even if the algorithm is allowed to maintain a quantum state. As the trivial approximation algorithm for QUANTUM MAX-CUT only gives a 4-approximation, we show tightness with an algorithm that returns a (2 + ε)-approximation to the QUANTUM MAX-CUT value of a graph in O(log n) space. Our work resolves the quantum and classical approximability of quantum and classical Max-Cut using o(n) space.We prove our lower bounds through the techniques of Boolean Fourier analysis. We give the first application of these methods to sequential one-way quantum communication, in which each player receives a quantum message from the previous player, and can then perform arbitrary quantum operations on it before sending it to the next. To this end, we show how Fourier-analytic techniques may be used to understand the application of a quantum channel.
Mapping of B-cell epitopes of the human hepatitis B virus X protein (1990)

The immune response to the X protein of human hepatitis B virus (HBV) was studied by epitope mapping by using a set of MS2-HBx fusion proteins and synthetic peptides. Antibodies in sera of patients with acute and chronic HBV infection showed a multispecific immune response. Each serum contained antibodies to a different set of epitopes, which taken together cover most of the HBx sequence. Some of the epitopes were detectable only by immunoblotting with fusion proteins; others were detectable only by an enzyme-linked immunosorbent assay (ELISA) with synthetic peptides. The carboxy-terminal half of the HBx protein was preferentially recognized by antibodies from patients with chronic hepatitis and contained a short immunodominant antigenic region with at least two major nonoverlapping epitopes. Anti-HBx antibody titers as revealed by peptide ELISAs were highest and most frequent in patients with chronic hepatitis and usually low in acutely infected patients and asymptomatic carriers. The data demonstrate a remarkable qualitative and quantitative heterogeneity of the humoral HBx immune response which can be monitored by HBx-specific peptide ELISAs. Such tests may become useful diagnostic tools.
Leaching of actinide-doped nuclear waste glass in a tuff-dominated system (1987)

A laboratory leaching test has been performed as part of a project to evaluate the suitability of tuff rocks at Yucca Mountain, Nevada, as a site for a high-level nuclear waste repository. Glass samples were placed in water inside tuff vessels, and then the tuff vessels were placed in water inside Teflon containers. Glass-component leach rates and migration through the tuff were measured for samples of the ATM-8 actinide glass, which is a PNL 76-68 based glass doped with low levels of {sup 99}Tc, {sup 237}Np, {sup 238}U, and {sup 239}Pu to simulate wastes. Disc samples of this glass were leached at 90{sup 0}C for 30, 90, and 183 days inside tuff vessels using a natural groundwater (J-13 well-water) as the leachant. At the end of each leaching interval, the J-13 water present inside and outside the rock vessel was analyzed for glass components in solutions. Boron, molybdenum, and technetium appear to migrate through the rock at rates that depend on the porosity of each vessel and the time. The actinide elements were found only in the inner leachate. Normalized elemental mass loss values for boron, molybdenum, and technetium were calculated using concentrations of the inner and outer leachates and assuming a negligible retention on the rock. The maximum normalized release was 2.3 g/m{sup 2} for technetium. Boron, molybdenum, technetium, and neptunium were released linearly with respect to each other, with boron and molybdenum released at about 85% of the technetium rate, and neptunium at 5 to 10% of the technetium rate. Plutonium was found at low levels in the inner leachate but was strongly sorbed on the steel and Teflon supports. Neptunium was sorbed to a lesser extent. 8 refs., 6 figs., 6 tabs.
Evaluating the Effect of Local Variations in Visually-Similar Motions on the Clustering of Body Sensor Features (2009)

Body sensor network-related applications such as assistive-living environment, orthopedic, physical medicines, and rehabilitation use wearable body sensors like motion trackers to track joint movements and electromyogram sensors to track muscular activities. These sensors provide information in the form of multidimensional time series data. Generally, for these applications, classification or similarity retrieval of human motions is performed by traditional clustering of dimensionally-reduced feature vectors based on joint movements and/or muscular activities. However, local variations in visually-similar sets of human motions cause them to group in different clusters resulting to a lower recall during retrieval. Hence, it is important to evaluate the effect of local variations on the given clustering of feature vectors. In this paper, we represent the local variations in the form of quantitative attributes that are measured from sensors' time series data. And further, we propose a multivariate analysis of variance technique for evaluating the effect of quantitative attributes on the clustering results that are based on different configurations of feature vectors representing joint movements and muscular activities.
Integrating an adaptive region-based appearance model with a landmark-free statistical shape model: application to prostate MRI segmentation (2011)

In this paper we present a system for segmenting medical images using statistical shape models (SSM's) which is landmark free, fully 3D, and accurate. To overcome the limitations associated with previous 3D landmark-based SSM's, our system creates a levelset-based SSM which uses the minimum distance from each voxel in the image to the object's surface to define a shape. Subsequently, an advanced statistical appearance model (SAM) is generated to model the object of interest. This SAM is based on a series of statistical texture features calculated from each image, modeled by a Gaussian Mixture Model. In order to segment the object of interest on a new image, a Bayesian classifier is first employed to pre-classify the image voxels as belonging to the foreground object of interest or the background. The result of the Bayesian classifier is then employed for optimally fitting the SSM so there is maximum agreement between the SAM and the SSM. The SAM is then able to adaptively learn the statistics of the textures of the foreground and background voxels on the new image. The fitting of the SSM, and the adaptive updating of the SAM is repeated until convergence. We have tested our system on 36 T2-w, 3.0 Tesla, in vivo, endorectal prostate images. The results showed that our system achieves a Dice similarity coefficient of .84&plusmn;.04, with a median Dice value of .86, which is comparable (and in most cases superior) to other state of the art prostate segmentation systems. Further, unlike most other state of the art prostate segmentation schemes, our scheme is fully automated requiring no user intervention.
HLAProphet: Personalized allele-level quantification of the HLA proteins (2023)

Abstract Loss of HLA expression in tumor cells is a commonly observed phenotype that is known to be associated with T-cell evasion. Proteogenomic characterizations of the molecular mechanisms underpinning this loss of HLA expression are hindered by the polymorphic nature of the HLA proteins, with most individuals having germline HLA sequences that are highly divergent from the sequences found in standard reference databases. To address this issue, we have developed HLAProphet, an algorithm that utilizes HLA types from paired DNA sequencing data to provide personalized allele-level quantification of the HLA proteins from TMT mass spectrometry data. We show that HLAProphet triples the number of tryptic peptide identifications made by standard reference based approaches, and produces protein expression values that have high concordance with RNA expression and known loss of heterozygosity events.
Radiation from a small monopole in a uniaxially anisotropic plasma (1982)

The radiation field of a small monopole over a ground plane covered with a uniaxially anisotropic plasma with an arbitrary inclination of the optical axis is studied. A steepest descent evaluation of the field integrals has been performed under the elliptic condition, and some calculated power patterns have been studied in comparison with those for a small dipole in an unbounded uniaxially anisotropic plasma. For an arbitrary inclination of the optic axis, considerable differences between the power patterns of the two configurations have been observed. Lateral waves and concentrated field regions are found to occur from mode coupling at the surface of the ground plane.
Comparison between Supervised and Unsupervised Feature Selection Methods (2019)

The reduction of the feature set by selecting relevant features for the classification process is an important step within the image processing chain, but sometimes too little attention is paid to it. Such a reduction has many advantages. It can remove irrelevant and redundant data, improve recognition performance, reduce storage capacity requirements, computational time of calculations and also the complexity of the model. Within this paper supervised and unsupervised feature selection methods are compared with respect to the achievable recognition accuracy. Supervised Methods include information of the given classes in the selection, whereas unsupervised ones can be used for tasks without known class labels. Feature clustering is an unsupervised method. For this type of feature reduction, mainly hierarchical methods, but also k-means are used. Instead of this two clustering methods, the Expectation Maximization (EM) algorithm was used in this paper. The aim is to investigate whether this type of clustering algorithm can provide a proper feature vector using feature clustering. There is no feature reduction technique that provides equally best results for all datasets and classifiers. However, for all datasets, it was possible to reduce the feature set to a specific number of useful features without losses and often even with improvements in recognition performance.