gebhart/patrepeval huggingface dataset:
Remote extraction and destruction of spread qubit information (2008)

Necessary and sufficient conditions for deterministic remote extraction and destruction of qubit information encoded in bipartite states using only local operations and classical communications (LOCC) are presented. The conditions indicate that there is a way to asymmetrically spread qubit information between two parties such that it can be remotely extracted with unit probability at one of the parties but not at the other as long as they are using LOCC. Remote destruction can also be asymmetric between the two parties, but the conditions are incompatible with those for remote extraction.
Movie 1 from Tumor Vessel Normalization, Immunostimulatory Reprogramming, and Improved Survival in Glioblastoma with Combined Inhibition of PD-1, Angiopoietin-2, and VEGF (2023)

&lt;p&gt;Pericyte coverage in GL261 control tumors is shown (CollagenIV, red; desmin, green)&lt;/p&gt;
Performance comparison of slotted and unslotted DS/SSMA networks (2002)

Throughput and delay for both slotted and unslotted direct-sequence spread-spectrum multiple-access (DS/SSMA) packet radio networks are compared. In both systems, each user employs a newly chosen random signature sequence for each bit in a transmitted packet. Accurate packet success probabilities for both systems are computed using an improved Gaussian approximation technique. Average throughput and delay results are obtained for varying levels of block error correction. The slotted system is shown to have better performance than the unslotted system in all cases.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Nutritional Status and Its Association with Cognitive Function among School Aged Children at Soddo Town and Soddo Zuriya District, Southern Ethiopia: Institution Based Comparative Study (2021)

About 1 billion stunted school-aged children are growing up with impaired mental development which can lead to low cognitive performance, reduced school achievement, and low productivity. But there is scarce evidence on cognitive function, school performance and their associated factors among school aged children. The main aim of this study was to assess cognitive function, school performance and determine their association with nutritional status among school children aged 7 to 10 years at Soddo Town and Soddo Zuriya Woreda, Wolaita Zone, Southern Ethiopia. Institutional comparative cross-sectional study was conducted on a total sample of 178 primary school children. The Raven's Color Progressive Matrices (RCPM) and selected tests from Kaufman assessment battery for children second edition were used. Mid-year average students' examination result was also used. Data were analyzed by using SPSS version 25, WHO Anthro plus, and independent sample <i>t</i>-test. Bivariate and multivariate linear regression analyses were also used. Mean (±SD) cognitive test scores of urban study participants was 18.7 ± 3.4 for RCPM which was higher (<i>P</i> < .001) as compared to rural (16.5 ± 3.3). The urban mean cognitive test scores was also higher for both pattern reasoning and visual processing with (<i>P</i> < .001) as compared to rural counterparts. School performance was higher (<i>P</i> < .001) for urban. Maternal education (<i>P</i> < .002) and wealth index (<i>P</i> < .006) were positively predicted while stunting (<i>P</i> < .001) negatively predicted cognitive function test scores and school performance. Cognitive function and school performance of study participants were associated with their nutritional status and rural participants had significantly lower mean scores as compared to urban counterparts. Further study should be done to community level.
Study of whole genome linkage disequilibrium in Nellore cattle (2013)

The level of LD estimated for markers separated by less than 30 kb indicates that the High Density Bovine SNP BeadChip will likely be a suitable tool for prediction of genomic breeding values in Nellore cattle.
Highly Squint SAR Data Focusing Based on Keystone Transform and Azimuth Extended Nonlinear Chirp Scaling (2014)

Highly squint synthetic aperture radar (SAR) data focusing is a more challenging and difficult task than the side-looking SAR due to the strong 2-D coupling of echo signal induced by the imaging mode. Although several algorithms have been proposed, they fail to take into consideration the spatial variance of linear range cell migration (RCM). Moreover, the RCM correction (RCMC) process in range frequency and azimuth time domain by phase multiplication brings the problem of azimuth variation of the Doppler centroid, which has a great influence on the azimuth focusing. In this letter, an algorithm based on keystone transform (KT) and azimuth extended nonlinear chirp scaling (ENLCS) is derived to deal with these problems. A new method for higher order RCMC is derived to remove the residual RCM after KT. Then, azimuth ENLCS is performed to equalize the azimuth-variant Doppler centroid and FM rate. The simulation results verify the effectiveness of this algorithm.
Scanning optical probe microscopy with submicrometer resolution using an organic photodetector (2008)

A high-resolution scanning optical microscopy technique is demonstrated, in which an organic photodetector on a silicon-based scanning probe cantilever scans a sample, simultaneously recording optical and topographic data with submicrometer resolution, while showing no measurable degradation during the scan. Potential applications of the probe include characterization of optoelectronic materials and devices, as well as simultaneous topographic and fluorescence microscopy of biological samples. Extension to these applications is aided by the fact that the probe is compatible with conventional atomic force microscopy systems and does not suffer some of the practical difficulties of existing near-field scanning optical microscopy systems.
A deep learning approach to document image quality assessment (2014)

This paper proposes a deep learning approach for document image quality assessment. Given a noise corrupted document image, we estimate its quality score as a prediction of OCR accuracy. First the document image is divided into patches and non-informative patches are sifted out using Otsu's binarization technique. Second, quality scores are obtained for all selected patches using a Convolutional Neural Network (CNN), and the patch scores are averaged over the image to obtain the document score. The proposed CNN contains two layers of convolution, location blind max-min pooling, and Rectified Linear Units in the fully connected layers. Experiments on two document quality datasets show our method achieved the state of the art performance.
Next-generation molecular diagnostics: Leveraging digital technologies to enhance multiplexing in real-time PCR (2023)

Real-time polymerase chain reaction (qPCR) enables accurate detection and quantification of nucleic acids and has become a fundamental tool in biological sciences, bioengineering and medicine. By combining multiple primer sets in one reaction, it is possible to detect several DNA or RNA targets simultaneously, a process called multiplex PCR (mPCR) which is key to attaining optimal throughput, cost-effectiveness and efficiency in molecular diagnostics, particularly in infectious diseases. Multiple solutions have been devised to increase multiplexing in qPCR, including <i>single-well</i> techniques, using target-specific fluorescent oligonucleotide probes, and <i>spatial multiplexing,</i> where segregation of the sample enables parallel amplification of multiple targets. However, these solutions are mostly limited to three or four targets, or highly sophisticated and expensive instrumentation. There is a need for innovations that will push forward the multiplexing field in qPCR, enabling for a next generation of diagnostic tools which could accommodate high throughput in an affordable manner. To this end, the use of machine learning (ML) algorithms (data-driven solutions) has recently emerged to leverage information contained in amplification and melting curves (AC and MC, respectively) - two of the most standard bio-signals emitted during qPCR - for accurate classification of multiple nucleic acid targets in a single reaction. Therefore, this review aims to demonstrate and illustrate that data-driven solutions can be successfully coupled with state-of-the-art and common qPCR platforms using a variety of amplification chemistries to enhance multiplexing in qPCR. Further, because both ACs and MCs can be predicted from sequence data using thermodynamic databases, it has also become possible to use computer simulation to rationalize and optimize the design of mPCR assays where target detection is supported by data-driven technologies. Thus, this review also discusses recent work converging towards the development of an end-to-end framework where knowledge-based and data-driven software solutions are integrated to streamline assay design, and increase the accuracy of target detection and quantification in the multiplex setting. We envision that concerted efforts by academic and industry scientists will help advance these technologies, to a point where they become mature and robust enough to bring about major improvements in the detection of nucleic acids across many fields.
Reciprocal cybrids reveal how organellar genomes affect plant phenotypes (2018)

Assessing the impact of variation in chloroplast and mitochondrial DNA (collectively termed the plasmotype) on plant phenotypes is challenging due to the difficulty in separating their effect from nuclear derived variation (the nucleotype). Haploid inducer lines can be used as efficient plasmotype donors to generate new plasmotype-nucleotype combinations (cybrids)(Ravi et al., 2014). We generated a panel comprising all possible cybrids of seven Arabidopsis thaliana accessions and extensively phenotyped these lines for 1859 phenotypes under stable and fluctuating conditions. We show that natural variation in the plasmotype results in additive as well as epistatic effects across all phenotypic categories. Plasmotypes which induce more additive phenotypic changes also cause more significant epistatic effects, suggesting a possible common basis for both additive and epistatic effects. On average epistatic interactions explained twice as much of the variance in phenotypes as additive plasmotype effects. The impact of plasmotypic variation was also more pronounced under fluctuating and stressful environmental conditions. Thus, the phenotypic impact of variation in plasmotypes is the outcome of multilevel Nucleotype X Plasmotype X Environment interactions and, as such, the plasmotype is likely to serve as a reservoir of variation which is only exposed under certain conditions. The production of cybrids using haploid inducers is a quick and precise method for assessing the phenotypic effects of natural variation in organellar genomes. It will facilitate efficient screening of unique nucleotype-plasmotype combinations to both improve our understanding of natural variation in nucleotype plasmotype interactions and identify favourable combinations to improve plant performance.
Nod-Like Receptors: Cytosolic Watchdogs for Immunity against Pathogens (2007)

In mammals, tissue-specific sets of pattern-recognition molecules, including Nod-like receptors (NLR), enable concomitant and sequential detection of microbial-associated molecular patterns from both the extracellular and intracellular microenvironment. Repressing and de-repressing the cytosolic surveillance machinery contributes to vital immune homeostasis and protective responses within specific tissues. Conversely, defective biology of NLR drives the development of recurrent infectious, autoimmune and/or inflammatory diseases by failing to mount barrier functions against pathogens, to tolerate commensals, and/or to instruct the adaptive immune response against microbes. Better decoding microbial strategies that are evolved to circumvent NLR sensing will provide clues for the development of rational therapies aimed at curing and/or preventing common and emerging immunopathologies.
Factors that Influenced Enrollment in the Firm Program at Bethel High School (2003)

To help answer this problem the following goals were developed: 1. Determine the reasons students enrolled in The Firm 2. Determine who influences students' decisions to enroll in The Firm; 3. Recommend future recruitment strategies for The Firm
Chitosan nanoparticles for oral drug and gene delivery (2006)

Chitosan is a widely available, mucoadhesive polymer that is able to increase cellular permeability and improve the bioavailability of orally administered protein drugs. It can also be readily formed into nanoparticles able to entrap drugs or condense plasmid DNA. Studies on the formulation and oral delivery of such chitosan nanoparticles have demonstrated their efficacy in enhancing drug uptake and promoting gene expression. This review summarizes some of these findings and highlights the potential of chitosan as a component of oral delivery systems.
Customizing the training dataset to an individual for improved heartbeat recognition performance in long-term ECG signals (2011)

This work presents an investigation of the potential benefits of customizing the analysis of long-term ECG signals, collected from individuals using wearable sensors, by incorporating small amount of data from these individuals in the training set of our classifiers. The global training dataset selected was from the MIT-BIH Arrhythmias Database. This proposal is validated on long-term ECG recordings collected via wearable technology in unsupervised environments, as well on the MIT-BIH Normal Sinus Rhythm Database. Results illustrate that heartbeat classification performance could improve significantly if short periods of data (e.g., data from the first 5-minutes of every 2 hours) from the specific individual are regularly selected and incorporated into the global training dataset for training a customized classifier.
La découverte des rayons X par Röntgen (1895)

Ce texte est l’acte de naissance des rayons X, finement caracterises par le physicien experimental Rontgen, ce qui lui vaudra le premier prix Nobel de physique.
SAP Interactive Forms by Adobe (2009)

This comprehensive guide to SAP Interactive Forms by Adobe, based on SAP NetWeaver 7.0/SAP Integrated ERP 6.0, teaches you about the newest forms technology available for SAP and how to integrate it in your business processes and workflows. The first part of the book gives you the know-how to immediately start with form design, covering the installation and configuration of software components, the design of the initial form templates with Adobe LiveCycle Designer, and the design of form output. The second part is devoted to more complex requirements in the design of online and offline forms, and includes information on output formatting, pagination, script programming, the integration of PDF forms in Web Dynpro ABAP, the use of barcode printers, and much more. Numerous screenshots, step-by-step instructions, and undocumented tips and tricks provided directly by the product developers at SAP and Adobe help you build the solutions presented and successfully implement this new SAP forms solution. Highlights: Portable Document Format (PDF) Installation and Configuration Interface and Form Context Creation of Form Templates Print and Form Issues Online and Offline Forms Integration with Web Dynpro ABAP ABAP PDF Objects Internal Service Request Offline Scenarios with Web Services
Rearing Light Intensity Affects Inner Retinal Pathology in a Mouse Model of X-Linked Retinoschisis but Does Not Alter Gene Therapy Outcome (2017)

Rearing light conditions affect the development of retinal cavities and post-photoreceptor function in Rs1-KO mice. However, the effect of rearing light intensity does not interact with the efficacy of RS1 gene replacement in Rs1-KO mice.
Copper Deposition on HF Etched Silicon Surfaces: Morphological and Kinetic Studies (1996)

The kinetics and morphologies of Cu deposition on HF‐treated silicon surfaces were investigated by atomic force microscopy (AFM), inductively coupled plasma mass spectroscopy (ICP/MS), and graphite furnace atomic absorption spectroscopy (GFAAS). The early stage (<60 s) of Cu deposition, as characterized by AFM, was found to be dominated by the nucleation of nanometer‐sized Cu nuclei on HF‐treated silicon surfaces. After 60 s of Cu deposition, the total grain number of Cu deposits was leveled to a constant plateau. However, a significant grain size increase of deposition Cu nuclei was noticed. We employed an AFM volume‐integration technique in conjunction with the ICP/MS and GFAAS measurements to demonstrate that the Cu deposition rate was limited by the diffusion of ions across the stationary solution layer toward the silicon surface.
ONC201 shows promise in AML treatment (2017)

This article refers to:Single agent and synergistic combinatorial efficacy of first-in-class small molecule imipridone ONC201 in hematological malignancies
Antifungal Lotion as Value-Added Product for Harvested BSFL Processing: Simple Process Design and Economic Evaluation (2020)

Advancing the value of products derived from insect biomass is a potential way to increase the demand of processing insect as renewable and sustainable resources. Among several species of insect, black soldier fly larvae (Hermetia illucens) is promising biomass source because of its favorable characteristics such as easy cultivation, fast-growing, and worldwide distribution. One problem that could limit the development of insect-based bioproduct is the low market price and displeasing uses for edible food. To overcome this problem, value-added product development is necessary to carried out. Thus, establish an antifungal lotion using extracted materials from BSFL biomass was discussed in this report followed by the economic evaluation and sensitivity analysis. The result reveal that equipment availability in market and raw material readiness espouse the production expediency. From the economic aspect, the direct fixed capital cost (DFC) for a plant of this capacity is around US$3.6 million, or approximately 6 times the total equipment cost. Thus, the net profitability will remain stable even the market price of BSFL might fluctuate in the range of 20%. In contrary, the change in main product price was impactful to the rate of return (ROI), internal rate of return (IRR) and, payback time (PBT) value. The overall result suggests that this project is worthy to being built.
Formation of Stacking Faults and the Screw Dislocation-Driven Growth: A Case Study of Aluminum Nitride Nanowires (2013)

Stacking faults are an important class of crystal defects commonly observed in nanostructures of close packed crystal structures. They can bridge the transition between hexagonal wurtzite (WZ) and cubic zinc blende (ZB) phases, with the most known example represented by the "nanowire (NW) twinning superlattice". Understanding the formation mechanisms of stacking faults is crucial to better control them and thus enhance the capability of tailoring physical properties of nanomaterials through defect engineering. Here we provide a different perspective to the formation of stacking faults associated with the screw dislocation-driven growth mechanism of nanomaterials. With the use of NWs of WZ aluminum nitride (AlN) grown by a high-temperature nitridation method as the model system, dislocation-driven growth was first confirmed by transmission electron microscopy (TEM). Meanwhile numerous stacking faults and associated partial dislocations were also observed and identified to be the Type I stacking faults and the Frank partial dislocations, respectively, using high-resolution TEM. In contrast, AlN NWs obtained by rapid quenching after growth displayed no stacking faults or partial dislocations; instead many of them had voids that were associated with the dislocation-driven growth. On the basis of these observations, we suggest a formation mechanism of stacking faults that originate from dislocation voids during the cooling process in the syntheses. Similar stacking fault features were also observed in other NWs with WZ structure, such as cadmium sulfide (CdS) and zinc oxide (ZnO).
The roles of Fzy/Cdc20 and Fzr/Cdh1 in regulating the destruction of cyclin B in space and time (2002)

In Drosophila cells cyclin B is normally degraded in two phases: (a) destruction of the spindle-associated cyclin B initiates at centrosomes and spreads to the spindle equator; and (b) any remaining cytoplasmic cyclin B is degraded slightly later in mitosis. We show that the APC/C regulators Fizzy (Fzy)/Cdc20 and Fzy-related (Fzr)/Cdh1 bind to microtubules in vitro and associate with spindles in vivo. Fzy/Cdc20 is concentrated at kinetochores and centrosomes early in mitosis, whereas Fzr/Cdh1 is concentrated at centrosomes throughout the cell cycle. In syncytial embryos, only Fzy/Cdc20 is present, and only the spindle-associated cyclin B is degraded at the end of mitosis. A destruction box-mutated form of cyclin B (cyclin B triple-point mutant [CBTPM]-GFP) that cannot be targeted for destruction by Fzy/Cdc20, is no longer degraded on spindles in syncytial embryos. However, CBTPM-GFP can be targeted for destruction by Fzr/Cdh1. In cellularized embryos, which normally express Fzr/Cdh1, CBTPM-GFP is degraded throughout the cell but with slowed kinetics. These findings suggest that Fzy/Cdc20 is responsible for catalyzing the first phase of cyclin B destruction that occurs on the mitotic spindle, whereas Fzr/Cdh1 is responsible for catalyzing the second phase of cyclin B destruction that occurs throughout the cell. These observations have important implications for the mechanisms of the spindle checkpoint.
<title>Nonlinear absorption in carbon-60</title> (1994)

This paper describes the investigation of nonlinear behavior in a solution of C<SUB>60</SUB>. A Q-switched Nd:YAG laser operating at 532 nm was used to look at the change of absorbance during the time of the pulse. The open literature has suggested that scattering may provide part of the nonlinear process found in C<SUB>60</SUB> solutions and this problem is addressed in this paper. Nonlinear scattering in toluene, a carbon suspension in toluene, and C<SUB>60</SUB> solution in toluene was investigated between 0 and 90 degrees. The C<SUB>60</SUB> solution produced as much nonlinear scattering as the toluene on its own.
Time course of tolerance to apomorphine in parkinsonism (1992)

We sought to determine if tolerance developed to the antiparkinsonian effects of apomorphine and, if so, what temporal factors influenced its development. Seven patients with parkinsonism and motor fluctuations received short (6-hour) and long (22- to 31-hour) apomorphine infusions. Tolerance was evaluated by comparison of the responses to test doses of apomorphine that were administered before and after each infusion. The responses to the test doses that followed either infusion were reduced by 35% after the short infusion and by 68% after the long infusion, although plasma apomorphine levels were similar to or higher than levels achieved with preinfusion test doses. The duration of improvement in parkinsonism after discontinuation of the long infusion was briefer than that after the short infusion. We conclude that tolerance to apomorphine occurs in parkinsonism, and the loss of response is greater after longer periods of drug administration.