gebhart/patrepeval huggingface dataset:
V2G Optimization for Dispatchable Residential Load Operation and Minimal Utility Cost (2023)

Electric Vehicles (EVs) are gaining popularity among consumers and are expected to play a significant role in the future of transportation. Within this paper, a reverse auction is formulated through an optimization problem to minimize the utility energy cost using Vehicle-to-Grid (V2G) operation, as well as transition residential communities to dispatchable aggregate constant load profiles for demand response (DR). The evolution-ary V2G Auction (eV2GA), including the non-dominated sorting genetic algorithm (NSGA-II), is proposed for the formulated problem. It uses co-simulation with OpenDSS for power flow analysis as part of the objective function to account for physical constraints of infrastructure on the cost analysis. The results are verified against a greedy method in two case studies on the IEEE 123 test feeder with modified residential load showing over 20 % reduction in cost from no v2G. It is demonstrated that physical power system constraints, such as line active power flow limits, may be implemented into the optimization through the proposed approach and do affect the V2G design solution by placing influence on location of the selected EV s in the distribution system.
Modeling the Impact of Resource Sharing in Backfilling Policies using the Alvio Simulator (2007)

Job scheduling policies for HPC centers have been extensively studied during these last years, specially backfilling based policies. Almost all of these studies have been done using simulation tools. These tools evaluate the performance of scheduling policies using the workloads and the resource definition as an input. To the best of our knowledge, all the existent simulators use the runtime (either requested or real) provided in the workload as a basis of their simulations. However, the runtime of a job, even executed with a fixed number of processors, depends on runtime issues such as the specific resource selection policy used for allocate the jobs or the resource jobs requirements. This paper is the first part of a more complex research project that analyzes the impact in the system performance of considering the resource sharing of running jobs. With this purpose we have included in our job scheduler simulator (the Alvio simulator) a performance model that estimates the penalty introduced in the application runtime when sharing the memory bandwidth. Experiments have been conducted with two resource selection policies and we present both the impact from the point of view of global performance metrics, such as average slowdown, and per job impact such as percentage of penalized runtime.
Automated tumor immunophenotyping and response to immunotherapy in non-small cell lung cancer using a spatial statistics approach. (2022)

2626 Background: Based on the clinical success of immuno-oncology therapeutics, tissue-based, biomarker analyses have shifted from a focus on tumor cell phenotypes to spatial and functional analyses of the tumor immune environment. Distribution and composition of immune infiltrates have shown prognostic or predictive value in various studies; however, standardized approaches to categorize tumors into “Desert”, “Excluded” or “Inflamed” immunophenotypes based on the density and pattern of immune infiltrates are missing. This categorization is typically based on visual inspection of a stained tissue section; it is labor-intensive and associated with poor inter-observer concordance. To eliminate these barriers we developed an automated approach that relies on a set of derived spatial features and named this analysis pipeline LATIS (metric Learning based Automated Tumor Immunophenotyping with Spatial statistics). Methods: We used two clinical trials, POPLAR (phase II; n=258) and OAK (phase III; n=623) that compared anti-PD-L1 treatment vs chemotherapy in patients with advanced non-small cell lung cancer to develop and validate this approach. LATIS utilizes scans of slides stained immunohistochemically for CD8 and cytokeratin (CK); images were tiled and classified according to CK status (positive/negative). First, CD8 positive and CK density was calculated for each tile. Twenty six spatial features were then extracted for each tiled image scan. We used a labeled (manual immunophenotype calls) POPLAR dataset to learn a metric that separates classes of labeled data best with respect of spatial features provided for each data point. Then, to co-embed OAK dataset with POPLAR dataset into the same space, we used that learned metric as a measure of distance between new unlabeled points (OAK data set). K-means clustering in the embedded space was used to identify clusters of data points followed by QFMatch to assign class labels (“Inflamed”, “Excluded”, “Desert”) to each data point. Results: LATIS successfully relates spatial features to both, manual reads and patient response to therapy. In OAK, anti-PD-L1 treated patients experienced longer median overall survival (OS) when tumors showed intra-epithelial CD8+ cells (Inflamed) compared to tumors with a stromal pattern of CD8+ cells (Excluded) or a low density of CD8+ cells (Desert): 17.6 months vs 10.3 (Excluded) vs 12.1 (Desert) [p=0.0061]. Median progression-free survival (PFS) was 3.2 months (Inflamed) vs 2.6 (Excluded) vs 1.4 (Desert) [p=0.00058]. OS and PFS were not significantly different for the three categories in chemotherapy only arm. Conclusions: We suggest that tumor immunophenotype categories generated in an automated fashion by LATIS can serve as predictive biomarker for cancer immunotherapy.
A technique of scatter and glare correction for videodensitometric studies in digital subtraction videoangiography. (1982)

The logarithmic amplification of video signals and the availability of data in digital form make digital subtraction videoangiography a suitable tool for videodensitometric estimation of physiological quantities. A system for this purpose was implemented with a digital video image processor. However, it was found that the radiation scattering and veiling glare present in the image-intensified video must be removed to make meaningful quantitations. An algorithm to make such a correction was developed and is presented. With this correction, the videodensitometry system was calibrated with phantoms and used to measure the left ventricular ejection fraction of a canine heart.
Verification testing of the compression performance of the HEVC screen content coding extensions (2017)

This paper reports on verification testing of the coding performance of the screen content coding (SCC) extensions of the High Efficiency Video Coding (HEVC) standard (Rec. ITU-T H.265 | ISO/IEC 23008-2 MPEG-H Part 2). The coding performance of HEVC screen content model (SCM) reference software is compared with that of the HEVC test model (HM) without the SCC extensions, as well as with the Advanced Video Coding (AVC) joint model (JM) reference software, for both lossy and mathematically lossless compression using All-Intra (AI), Random Access (RA), and Lowdelay B (LB) encoding structures and using similar encoding techniques. Video test sequences in 1920×1080 RGB 4:4:4, YCbCr 4:4:4, and YCbCr 4:2:0 colour sampling formats with 8 bits per sample are tested in two categories: “text and graphics with motion” (TGM) and “mixed” content. For lossless coding, the encodings are evaluated in terms of relative bit-rate savings. For lossy compression, subjective testing was conducted at 4 quality levels for each coding case, and the test results are presented through mean opinion score (MOS) curves. The relative coding performance is also evaluated in terms of Bjøntegaard-delta (BD) bit-rate savings for equal PSNR quality. The perceptual tests and objective metric measurements show a very substantial benefit in coding efficiency for the SCC extensions, and provided consistent results with a high degree of confidence. For TGM video, the estimated bit-rate savings ranged from 60–90% relative to the JM and 40–80% relative to the HM, depending on the AI/RA/LB configuration category and colour sampling format.
The Wind Driven Optimization Technique and its Application in Electromagnetics (2013)

A new type of nature-inspired global optimization methodology based on atmospheric motion is introduced. The proposed Wind Driven Optimization (WDO) technique is a population based iterative heuristic global optimization algorithm for multi-dimensional and multi-modal problems with the potential to implement constraints on the search domain. At its core, a population of infinitesimally small air parcels navigates over an <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> -dimensional search space following Newton's second law of motion, which is also used to describe the motion of air parcels within the earth's atmosphere. Compared to similar particle based algorithms, WDO employs additional terms in the velocity update equation (e.g., gravitation and Coriolis forces), providing robustness and extra degrees of freedom to fine tune. Along with the theory and terminology of WDO, a numerical study for tuning the WDO parameters is presented. WDO is further applied to three electromagnetics optimization problems, including the synthesis of a linear antenna array, a double-sided artificial magnetic conductor for WiFi applications, and an E-shaped microstrip patch antenna. These examples suggest that WDO can, in some cases, out-perform other well-known techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) or Differential Evolution (DE) and that WDO is well-suited for problems with both discrete and continuous-valued parameters.
Analysis of Retinal Segmentation Changes at High Altitude With and Without Acetazolamide (2019)

Retinal venous diameter correlates positively with HAH, adding further evidence for the proposed venous outflow limitation mechanism. The inner layers of the retina swelled disproportionately when compared to the outer layers under conditions of systemic hypoxia. Acetazolamide does not appear to influence altitudinal changes of retinal layers and vasculature.
ChemInform Abstract: Syntheses and Analgesic/Antiinflammatory Activities of Novel 2‐(5‐Aroyl‐pyrrolo)alkanoic Acids. (1987)

Abstract Reaction of the cyanopyridine (I) with the pyrrole (II) under Houben‐Hoesch conditions gives the ketone (III), which is converted to the nicotinyl derivative (IVa); a similar procedure leads to the picolinyl derivative (IVb).
Thioquinolobactin, a Pseudomonas siderophore with antifungal and anti‐ Pythium activity (2006)

Under conditions of iron limitation Pseudomonas fluorescens ATCC 17400 produces two siderophores, pyoverdine, and a second siderophore quinolobactin, which itself results from the hydrolysis of the unstable molecule 8-hydroxy-4-methoxy-2-quinoline thiocarboxylic acid (thioquinolobactin). Pseudomonas fluorescens ATCC 17400 also displays a strong in vitro antagonism against the Oomycete Pythium, which is repressed by iron, suggesting the involvement of a siderophore(s). While a pyoverdine-negative mutant retains most of its antagonism, a thioquinolobactin-negative mutant only slowed-down Pythium growth, and a double pyoverdine-, thioquinolobactin-negative mutant, which does not produce any siderophore, totally lost its antagonism against Pythium. The siderophore thioquinolobactin could be purified and identified from spent medium and showed anti-Pythium activity, but it was quickly hydrolysed to quinolobactin, which we showed has no antimicrobial activity. Analysis of antagonism-affected transposon mutants revealed that genes involved in haem biosynthesis and sulfur assimilation are important for the production of thioquinolobactin and the expression of antagonism.
Nonlinear Molecular Photonics (2015)

This entry presents significant advances in the field of nonlinear molecular optics in the critical area of material engineering and the related optoelectronics device technologies. Leverage from the optoelectronic and telecommunication industry, together with the scientific motivations of a more fundamental nature, is strongly pushing forward a domain to which a large community of physicists, chemists, and electrical engineers provides a distinctively and rather unique cross-disciplinary flavor. As far as applied motivations are concerned, a major concern has to do with the necessity to fulfill the needs for key-signal processing functions. Exploration and demonstration of alternatives has become a priority target. The recognition of the importance of extending light–molecule interaction studies to encompass the nonlinear regime has now pervaded throughout the chemistry and chemical physics communities, whereby molecular nonlinear optics is now a well-established and active ongoing domain of research with a range of diverse goals, of synthetic, spectroscopic, or structural natures. Lastly, the emerging field of biophotonics has come to further fuel a new burst of research so as to provide biological studies of optimized nonlinear molecules or molecular assemblies acting as nanometer sensors in advanced microscopic setups capable of providing an intimate insight on cellular mechanisms.
Journal of Biomechanical Engineering Update (2012)

It is my pleasure to inform the readership that the impact factor of JBME went up from 1.6 in 2010 to 1.9 in 2011. Submissions continue to substantially increase, with the 2011 total submissions at 552, up from 459 in 2010, and with a projected total of 630 at the current submission rate for 2012. Moreover, the net review time is now down to only one month from submission to the first Associate Editor Recommendation. JBME remains the most selective ASME journal, with an acceptance rate of 27%. This is a great sign that our collective efforts to raise impact factors and lower review times are working. Special thanks to the Reviewers and Associate Editors who do most of the real work of the Journal, as well as to the Bioengineering Division Chairs and the Executive Council for their hard work and support over the last five years.Next, there are some exciting new developments for the Journal. Last fall, I put forward a proposal to convert JBME to a dual editor system. This was done to not only help with the increased workload but also to assist the Journal to undertake new initiatives, such as the new focus on special issues. I am very pleased to announce that the Bioengineering Division Executive Council has chosen Dr. Beth Winkelstein of the University of Pennsylvania and Dr. Victor Barocas of the University of Minnesota as the new Co-Editors of JBME. Dr. Winkelstein started her term on Jan. 1, 2012, and Dr. Barocas will start his term in early Fall 2012. Once both editors are on board, Dr. Winkelstein will be handling all musculoskeletal related manuscripts, while Dr. Barocas will be handling cardiovascular and soft tissue related areas. I am also very pleased to announce Dr. Winkelstein as the first woman editor of JBME.As I come to the end of my five year term as Editor, I would like to extend my thanks to all authors for helping to make JBME an outstanding journal, and to above all to encourage you to submit your best work to the Journal.
Soft Photonic Crystal Lasers of Organic Materials by Self-Assembly (2018)

This article describes an overview of the developments in fabrication methodologies of colloidal crystals (CCs) as photonic crystals (PCs) and their laser applications. The CCs have intrinsic capabilities to selfassemble the 3D-PC structure of micro-particles. When the periodic length in the CC structures corresponds to several hundred nanometers of the visible light wavelength, the photonic band-gaps (PBGs) can be visualized as reflection colors according to Bragg’s law. When combining light-emitting organic dyes within the CC structures, the stimulated laser action at PBG wavelength edge or within PBG wavelength range can be generated by optical excitation due to the PBG effect. Moreover, we succeed in the demonstration of flexible and tunable laser action from the CC structures with lightemitting organic dyes. The preset review highlights not only the research backgrounds of CCs as PCs, but also the experimental results of our soft organic CC lasers.
A Transgenic Animal Model Resembling Amelogenesis Imperfecta Related to Ameloblastin Overexpression (2003)

Genetic diseases that affect tooth enamel are grouped under the classification amelogenesis imperfecta. Human pedigrees and experiments on transgenic and null mice have all demonstrated that mutations to the secreted proteins amelogenin, enamelin, and enamelysin result in visibly, structurally, or mechanically defective enamel. In an attempt to better define a physiologic function for ameloblastin during enamel formation, we have produced transgenic mice that misexpress the ameloblastin gene. These transgenic animals exhibit imperfections in their enamel that is evident at the nanoscale level. Specifically, ameloblastin overexpression influences enamel crystallite habit and enamel rod morphology. These findings suggest enamel crystallite habit and rod morphology are influenced by the temporal and spatial expression of ameloblastin and may implicate the role of the ameloblastin gene locus in the etiology of a number of undiagnosed autosomally dominant cases of amelogenesis imperfecta.
A family with autism and rare copy number variants disrupting the Duchenne/Becker muscular dystrophy gene DMD and TRPM3 (2011)

Autism spectrum disorder is a genetically complex and clinically heterogeneous neurodevelopmental disorder. A recent study by the Autism Genome Project (AGP) used 1M single-nucleotide polymorphism arrays to show that rare genic copy number variants (CNVs), possibly acting in tandem, play a significant role in the genetic aetiology of this condition. In this study, we describe the phenotypic and genomic characterisation of a multiplex autism family from the AGP study that was found to harbour a duplication of exons 31-44 of the Duchenne/Becker muscular dystrophy gene DMD and also a rare deletion involving exons 1-9 of TRPM3. Further characterisation of these extremely rare CNVs was carried out using quantitative PCR, fluorescent in situ hybridisation, long-range PCR amplification and sequencing of junction fragments. The maternal chrX:32,097,213-32,321,945 tandem duplication and paternal chr9:72,480,413-73,064,196 deletion (NCBI build 36 coordinates) were transmitted to both affected boys, potentially signifying a multi-hit mechanism. The DMD reading frame rule predicts a Becker phenotype, characterised by later onset and milder symptoms. When last evaluated, neither child had developed signs of muscular dystrophy. These data are consistent with a degree of comorbidity between autism and muscular dystrophy and suggest that genomic background as well as the position of the mutation within the DMD gene may impact on the neurological correlates of Duchenne/Becker muscular dystrophy. Finally, communicating unexpected findings such as these back to families raises a number of ethical questions, which are discussed.
Projection-free parallel quadratic programming for linear model predictive control (2013)

A key component in enabling the application of model predictive control (MPC) in fields such as automotive, aerospace, and factory automation is the availability of low-complexity fast optimisation algorithms to solve the MPC finite horizon optimal control problem in architectures with reduced computational capabilities. In this paper, we introduce a projection-free iterative optimisation algorithm and discuss its application to linear MPC. The algorithm, originally developed by Brand for non-negative quadratic programs, is based on a multiplicative update rule and it is shown to converge to a fixed point which is the optimum. An acceleration technique based on a projection-free line search is also introduced, to speed-up the convergence to the optimum. The algorithm is applied to MPC through the dual of the quadratic program (QP) formulated from the MPC finite time optimal control problem. We discuss how termination conditions with guaranteed degree of suboptimality can be enforced, and how the algorithm performance can be optimised by pre-computing the matrices in a parametric form. We show computational results of the algorithm in three common case studies and we compare such results with the results obtained by other available free and commercial QP solvers.
ESD characterization and design guidelines for interconnects in 28nm CMOS (2014)

This paper reports comprehensive transient electrostatic discharge (ESD) characterization of backend interconnects in a foundry 28nm CMOS. Testing results reveal details on metal current handling capability and on-chip ESD protection ability. ESD design guidelines for interconnects are provided for chip-level ESD protection circuit designs in 28nm CMOS.
Design and synthesis of iridium(iii) azacrown complex: application as a highly sensitive metal cation phosphorescence sensor (2005)

A new metal cation probe bearing a central Ir(III) element and 1-aza-15-crown-5-ether substituted pyridyl pyrazolate as the chelate was synthesized. The octahedral molecular structure of was confirmed using single crystal X-ray diffraction analyses. Subsequent photophysical study showed yellow-green emission at approximately 560 nm in both fluid solution and solid state at room temperature. Remarkable differentiation in spectral properties upon metal cation (e.g. Ca2+) complexation makes complex a highly sensitive phosphorescence probe.
Follicle and oocyte developmental dynamics (2013)

Mammalian follicle development starts during fetal (for human) or neonatal (for rodents) stages when primordial follicles are formed. Throughout reproductive life, most of this large but finite pool of ovarian primordial follicles remains dormant and only a small fraction of them initiates growth (Figure 6.1, initial recruitment) by uncharacterized intraovarian mechanisms [1]. Human follicles begin development during the fourth month of fetal life, and each human ovary contains ≈400000 follicles at birth. Unknown intraovarian mechanisms activate a small number of dormant primordial follicles at a rate of ≈1000 per month to initiate growth, and follicle depletion occurs at menopause when <1000 follicles remain [2]. For follicles not activated, the default pathway is to remain dormant for years or decades. The onset of menopause is associated with the near depletion of ovarian follicles. Although the menarche time for modern girls has advanced due to improved health and other environmental factors, the menopause time for women has remained constant at ~51 years of age.
Metal Iodate-Based Energetic Composites and Their Combustion and Biocidal Performance (2015)

The biological agents that can be weaponized, such as Bacillus anthracis, pose a considerable potential public threat. Bacterial spores, in particular, are highly stress resistant and cannot be completely neutralized by common bactericides. This paper reports on synthesis of metal iodate-based aluminized electrospray-assembled nanocomposites which neutralize spores through a combined thermal and chemical mechanism. Here metal iodates (Bi(IO3)3, Cu(IO3)2, and Fe(IO3)3) act as a strong oxidizer to nanoaluminum to yield a very exothermic and violent reaction, and simultaneously generate iodine as a long-lived bactericide. These microparticle-assembled nanocomposites when characterized in terms of reaction times and temporal pressure release show significantly improved reactivity. Furthermore, sporicidal performance superior to conventional metal-oxide-based thermites clearly shows the advantages of combining both a thermal and biocidal mechanism in spore neutralization.