gebhart/patrepeval huggingface dataset:
Migrant breast cancer patients and their participation in genetic counseling: results from a registry-based study (2016)

Certain ethnic groups seem to have less access to cancer genetic counseling. Our study was to investigate the participation in cancer genetic counseling among migrant breast cancer patients of Turkish and Moroccan origin. Hospital medical records of Turkish and Moroccan and of a comparative group of non-Turkish/Moroccan newly diagnosed breast cancer patients were studied. All women were diagnosed between 2007 and 2012. Eligibility for genetic counseling was assessed with a checklist. A total of 156 Turkish/Moroccan patients were identified, and 321 patients were assigned to the comparative group. About one third (35%) of the Turkish/Moroccan patients fulfilled criteria for breast cancer genetic counseling, compared to 21% of the comparative group (P = 0.001); this was largely due to a relatively young age at diagnosis in the migrant group (26% <40 years vs 5% in the comparative group, P = 0.0001). Uptake of genetic counseling among eligible patients was 47% in the migrant group and 56% in the comparative group; differences in uptake were seen among the patients diagnosed before 40 years of age (48% in the migrant group vs 81% in the comparative group; P = 0.021). When adjusted for age at diagnosis, ethnicity was associated with discussing referral to genetic counseling and its actual uptake. The Turkish/Moroccan ethnicity appears to be associated with a lower uptake of genetic counseling, mainly caused by the lower uptake in the young age-group. The major barrier to participation in genetic counseling seems to lie within the referral process.
Unmet supportive care needs of patients with rare cancer: A systematic review (2021)

Patients with rare cancer have unmet needs throughout their disease trajectory. Supportive care needs of rare cancer patients should be addressed individually, depending on the rare cancer subdomain and phase of disease and from diagnosis onwards.
Shaping reality (2018)

How researchers at Imperial College are using virtual and augmented reality to help surgeons train and operate.
Neural Network Based Wavelength Assignment in Optical Switching (2017)

Greater network flexibility through software defined networking and the growth of high bandwidth services are motivating faster service provisioning and capacity management in the optical layer. These functionalities require increased capacity along with rapid reconfiguration of network resources. Recent advances in optical hardware can enable a dramatic reduction in wavelength provisioning times in optical circuit switched networks. To support such operations, it is imperative to reconfigure the network without causing a drop in service quality to existing users. Therefore, we present a system that uses neural networks to predict the dynamic response of an optically circuit-switched 90-channel multi-hop Reconfigurable Optical Add-Drop Multiplexer (ROADM) network. The neural network is able to recommend wavelength assignments that contain the power excursion to less than 0.5 dB with a precision of over 99%.
Digital agriculture in action (2021)

Farms produce hundreds of thousands of data points on the ground daily. Farming technique which combines farming practices with the insights uncovered in these data points using AI technology is called precision farming. Precision farming technology augments and extends farmers' deep knowledge about their land, making production more sustainable and profitable. As part of the larger effort at Microsoft for empowering agricultural labor force to be more productive and sustainable, this paper presents the AI technology for predicting micro-climate conditions on the farm. This article is a chapter in publication by Food and Agriculture Organization of the United Nations and International Telecommunication Union Bangkok, 2021. This publication on artificial intelligence (AI) for agriculture is the fifth in the E-agriculture in Action series, launched in 2016 and jointly produced by FAO and ITU. It aims to raise awareness about existing AI applications in agriculture and to inspire stakeholders to develop and replicate the new ones. Improvement of capacity and tools for capturing and processing data and substantial advances in the field of machine learning open new horizons for data-driven solutions that can support decision-making, facilitate supervision and monitoring, improve the timeliness and effectiveness of safety measures (e.g. use of pesticides), and support automation of many resource-consuming tasks in agriculture. This publication presents the reader with a collection of informative applications highlighting various ways AI is used in agriculture and offering valuable insights on the implementation process, success factors, and lessons learnt.
Supplementary Figure 1 from Plasma Fibronectin Promotes Lung Metastasis by Contributions to Fibrin Clots and Tumor Cell Invasion (2023)

Supplementary Figure 1 from Plasma Fibronectin Promotes Lung Metastasis by Contributions to Fibrin Clots and Tumor Cell Invasion
Nematode gene sequences: update for december 2003. (2003)

Molecular characterization of parasitic nematodes now relies heavily on information gained from genomic approaches. The avai l abi l i t y of t housands of new nucleotide sequences in searchable public databases ac- 
celerates efforts to identify and characterize genes of interest, including those encoding pathogenicity factors, diagnostic markers, targets (for vaccines, drugs, or nemat i ci des ), and i mmunomodul at ory molecules . 
Since 2000, we have provided periodic updates on the status of nematode sequencing projects of interest to the communities of researchers studying parasitic and free-living nematode biology (McCarter et al., 2000, 
2002, 2003). Here we report on the availability of sequences from nematodes as of late 2005 and primarily cite literature from 2003–2005. Please see our 2003 update (McCarter et al., 2003) for a thorough listing of 
the prior literature. 2003 to 2005, EST sequencing from mammalian para- 
sites has slowed whereas EST generation from plant parasites has continued as the National Science Foundation (NSF)-funded collaboration between the GSC and North Carolina State University has been completed (Fig. 1). Sizable EST collections now exist for six Meloidogyne (root-knot nematode) species (Scholl and Bird, 2005), which is more than for any other nematode genus. ESTs have also been generated from three Tylenchida migratory endoparasitic species, the lesion nematodes Pratylenchus penetrans (Mitreva et al., 2004a) 
and Pratylenchus vulnus, and the burrowing nematode Radopholus similis. A collection of more than 9,000 ESTs also is available from the dagger nematode Xiphinema index. Being a clade I Dorylaimia nematode, this repre- 
sents the ﬁrst EST collection from a non-Tylenchida
Lapis SOI Pixel Process (2015)

0.2 um fully-depleted SOI technology has been developed a for X-ray pixel detectors. To improve the detector performance, some advanced process technologies are developing continuously. To utilize the high resistivity FZ-SOI, slow ramp up and ramp down recipes are applied for the thermal processes in both of SOI wafer fabrication and pixel detector process. The suitable backside treatment is also applied to prevent increase of leakage current at backside damaged layer in the case of full depletion of substrate. Large detector chip about 66mm width and 30mm height can be obtained by stitching exposure technique for large detector chip. To improve cross-talk and radiation tolerance, the nested well structure and double- SOI wafer are now under investigation for advanced pixel structure.
Leveraging global multi-ancestry meta-analysis in the study of Idiopathic Pulmonary Fibrosis genetics (2021)

Abstract The research of rare and devastating orphan diseases such as Idiopathic Pulmonary Fibrosis (IPF) has been limited by the rarity of the disease itself. The prognosis is poor – the prevalence of IPF is only ∼4-times the incidence of the condition, limiting the recruitment of patients to trials and studies of the underlying biology of the disease. However, global biobanking efforts can dramatically alter the future of IPF research. Here we describe the largest meta-analysis of IPF, with 8,492 patients and 1,355,819 population controls from 13 biobanks around the globe. Finally, we combine the meta-analysis with the largest available meta-analysis of IPF so far, reaching 11,160 patients and 1,364,410 population controls in analysis. We identify seven novel genome-wide significant loci, only one of which would have been identified if the analysis had been limited to European ancestry individuals. We observe notable pleiotropy across IPF susceptibility and severe COVID-19 infection, beyond what is known to date. We also note a significant unexplained sex-heterogeneity effect at the strongest IPF locus MUC5B .
A Signal Adaptive Diffusion Filter for Video Coding Using Directional Total Variation (2018)

In this paper we combine state of the art video compression with inpainting methods. We introduce a new signal adaptive method to filter the predictions of a hybrid video codec using a constrained optimization approach. The filter is embedded into the framework of HEVC. The efficiency of the HEVC video codec is improved by up to -6.14% Bj Ø ntegaard delta (BD) rate for All Intra.
Negative Gate Bias TDDB evaluation of n-Channel SiC Vertical Power MOSFETs (2022)

With the steep expansion of the n-type 4H-SiC power metal-oxide-semiconductor field-effect transistor (MOSFET) market space, gate oxide reliability is gaining more and more attention. Although there exist several reports dealing with the bias temperature instability (BTI) under both positive and negative gate biases, gate oxide lifetime evaluations predominantly focus on positive gate bias time-dependent dielectric breakdown (TDDB) stresses for n-channel SiC MOSFETs. In this work we address that gap. From the negative gate bias TDDB data measured at 175 °C and at a gate oxide electric field of about 4 MV/cm, an intrinsic lifetime of 1E8 hours has been predicted, which closely matches with the results obtained from similar devices under positive gate stress. Also, in this work the correlation between failure location in a MOSFET unit cell and the failure signatures during TDDB stress have been established, and an explanation from a device physics standpoint has been provided. The identification of the failure location in the unit cell from in-situ gate leakage data without the need of physical failure analysis can turn out to be key during the early phase of a new process development activity.
Elective Tracheotomy Facilitates Total Artificial Heart Implantation in Calves (2009)

Chronic ventilatory support may be required for survival after total artificial heart (TAH) implantation in calves. However, prolonged or repeated intubation may negatively affect a calf's ability to eat, drink, ruminate, and stand after surgery. To mitigate these limitations, we performed tracheotomies on 23 consecutive calves at the time of TAH implantation. The tracheostomies served as the primary route for ventilatory support and airway management. Tracheostomies were left in place for up to 25 days (mean, 7 +/- 7 days) and were well tolerated. Prolonged presence of a tracheostomy facilitated cleaning of the airway secretions and did not inhibit the calf's ability to stand, eat, or drink. The calves survived from 2 to 49 days (mean, 8 days). Twenty-two calves that maintained their tracheostomies died of causes unrelated to airway management. The calf that had the tracheostomy removed on day 25 died of respiratory arrest on day 49. At necropsy, we found that severe tracheal stenosis had developed at the tracheostomy site. In calves, an elective tracheotomy can be a valuable adjunct to TAH implantation or other procedures that might require prolonged ventilatory support or airway access, but care should be exercised if the tracheostomy is removed to ensure that the calf does not develop late tracheal stenosis.
Dose-dependent expression of claudin-5 is a modifying factor in schizophrenia (2017)

Schizophrenia is a neurodevelopmental disorder that affects up to 1% of the general population. Various genes show associations with schizophrenia and a very weak nominal association with the tight junction protein, claudin-5, has previously been identified. Claudin-5 is expressed in endothelial cells forming part of the blood-brain barrier (BBB). Furthermore, schizophrenia occurs in 30% of individuals with 22q11 deletion syndrome (22q11DS), a population who are haploinsufficient for the claudin-5 gene. Here, we show that a variant in the claudin-5 gene is weakly associated with schizophrenia in 22q11DS, leading to 75% less claudin-5 being expressed in endothelial cells. We also show that targeted adeno-associated virus-mediated suppression of claudin-5 in the mouse brain results in localized BBB disruption and behavioural changes. Using an inducible 'knockdown' mouse model, we further link claudin-5 suppression with psychosis through a distinct behavioural phenotype showing impairments in learning and memory, anxiety-like behaviour and sensorimotor gating. In addition, these animals develop seizures and die after 3-4 weeks of claudin-5 suppression, reinforcing the crucial role of claudin-5 in normal neurological function. Finally, we show that anti-psychotic medications dose-dependently increase claudin-5 expression in vitro and in vivo while aberrant, discontinuous expression of claudin-5 in the brains of schizophrenic patients post mortem was observed compared to age-matched controls. Together, these data suggest that BBB disruption may be a modifying factor in the development of schizophrenia and that drugs directly targeting the BBB may offer new therapeutic opportunities for treating this disorder.
Efficient Light-Driven Oxidation of Alcohols Using an Organic Chromophore–Catalyst Assembly Anchored to TiO2 (2016)

The ligand 5-PO3H2-2,2':5',2″-terthiophene-5-trpy, T3 (trpy = 2,2':6',2″-terpyridine), was prepared and studied in aqueous solutions along with its metal complex assembly [Ru(T3)(bpy)(OH2)](2+) (T3-Ru-OH2, bpy = 2,2'-bipyridine). T3 contains a phosphonic acid group for anchoring to a TiO2 photoanode under aqueous conditions, a terthiophene fragment for light absorption and electron injection into TiO2, and a terminal trpy ligand for the construction of assemblies comprising a molecular oxidation catalyst. At a TiO2 photoanode, T3 displays efficient injection at pH 4.35 as evidenced by the high photocurrents (∼350 uA/cm(2)) arising from hydroquinone oxidation. Addition of [Ru(bpy)(OTf)][OTf]2 (bpy = 2,2'-bipyridine, OTf(-) = triflate) to T3 at the free trpy ligand forms the molecular assembly, T3-Ru-OH2, with the oxidative catalyst fragment: [Ru(trpy)(bpy)(OH2)](2+). The new assembly, T3-Ru-OH2, was used to perform efficient light-driven oxidation of phenol (230 μA/cm(2)) and benzyl alcohol (25 μA/cm(2)) in a dye-sensitized photoelectrosynthesis cell.
Local degradation of magnetic properties in magnetic thin films irradiated by Ga/sup +/ focused-ion-beams (2002)

The magnetic properties of NiFe and FeCoN thin films were examined using Kerr microscopy after Ga/sup +/ focused-ion-beam (FIB) irradiation. Magneto-optic characterizations of 30 /spl mu/m /spl times/ 30 /spl mu/m irradiated surface areas showed that the magnetization was reduced in approximately linear proportion to the Ga/sup +/ ion dose. Above an ion dose of approximately 0.6 nC//spl mu/m/sup 2/ (3.8 /spl times/ 10/sup 17/ ions/cm/sup 2/), little sign of the Kerr rotation could be found. The effect of the irradiation on the coercive force was also examined. Little effect of the beam on the coercivity of NiFe was seen, but an increase of coercivity was seen in FeCoN. The reduction of the Kerr rotation is attributed to magnetic moment loss caused by Ga implantation into the magnetic thin films. This loss has been quantified and is relevant to pole trimming for high-density magnetic recording heads.
A framework for predicting service delivery efforts using IT infrastructure-to-incident correlation (2014)

Predicting IT infrastructure performance under varying conditions, e.g., the addition of a new server or increased transaction loads, has become a typical IT management exercise. However, within a service delivery context, enterprise clients are demanding predictive analytics that outline future “costs” associated with changing conditions. The service delivery staffing costs incurred in addressing problems and requests (arriving in the form of incident and other problem tickets) in the managed environment is especially of high importance. This paper describes an analytical study addressing such cost prediction. Specifically, a novel approach is described in which support vector regression is used to predict service delivery workloads (measured by ticket volumes) based on managed server characteristics Additionally, a proposed framework combining various analytical models is proposed to predict service delivery staffing requirements under changing IT infrastructure characteristics and conditions. Detailed descriptions of the workload prediction techniques, as well as an evaluation using data from an actual large service delivery engagement, are presented.
Aggregate complexes of HIV-1 induced by multimeric antibodies (2014)

These results collectively demonstrate that dIgA is capable of forming stable viral aggregates providing a plausible basis for testing the effectiveness of aggregation as a potential protection mechanism at the mucosal portals of viral entry.
Controlled ambient and temperature treatment of InGaZnO thin film transistors for improved bias-illumination stress reliability (2013)

The failure mechanisms arising from the instability in operation of indium gallium zinc oxide based thin film transistors (TFTs) upon prolonged real application stresses (bias and illumination) have been extensively studied and reported. Positive and negative gate bias conditions, along with high photonic energy wavelengths within visible light spectrum are used as stress conditions. The increased carrier concentration due to photonic excitation of defects within bandgap and ionization of deep level vacancies is compensated by the reduction in off currents under illumination due to the trapping of carriers in the intermetal dielectric. Band lowering at the source-channel junction due to accumulation of negative carriers repelled due to negative gate bias stress further causes high carrier flow into the channel and drives the devices into failure. The defect identification during failure and degradation assisted in proposing suitable low temperature post processing in specific ambients. Reliability tests after specific anneals in oxygen, vacuum, and forming gas ambients confirm the correlation of the defect type with anneal ambient. Annealed TFTs demonstrate high stabilities under illumination stresses and do not fail when subjected to combined stresses that cause failure in as-fabricated TFTs. Oxygen and forming gas anneals are impactful on the reliability and opens an area of study on donor and vacancy behavior in amorphous mixed oxide based TFTs. The subthreshold swing, field-effect mobilities, and off currents provide knowledge on best anneal practices by understanding role of hydrogen and oxygen in vacancy annihilation and transistor switching properties.
Special Section on Multimodal Understanding of Social, Affective, and Subjective Attributes (2019)

Multimedia scientists have largely focused their research on the recognition of tangible properties of data such as objects and scenes. Recently, the field has started evolving toward the modeling of more complex properties. For example, the understanding of social, affective, and subjective attributes of visual data has attracted the attention of many research teams at the crossroads of computer vision, multimedia, and social sciences. These intangible attributes include, for example, visual beauty, video popularity, or user behavior. Multiple, diverse challenges arise when modeling such properties from multimedia data. The sections concern technical aspects such as reliable groundtruth collection, the effective learning of subjective properties, or the impact of context in subjective perception; see Refs. [2] and [3].
A Method To Study the Phase Transition and Desorption of Self-Assembled Monolayers on Planar Gold Surfaces (2000)

In-plane resistance of thin gold films (thickness approximately 1,000 A) after the formation of self-assembled monolayers has been measured as a function of temperature. We attribute the observed increase in the slope of the resistance vs temperature plot in the case of octadecanethiol and octanethiol monolayers at characteristic temperatures to phase transitions. The structural transition of 1,4-benzenedimethanethiol is also manifested similarly. Propanethiol does not show any phase transition, as expected. The observed changes in the alkanethiol monolayers are related to the decrease in the lifetime of the parallel vibrational motion of the adsorbate on the gold surface. The increase in slope is followed by a decrease which is attributed to the commencement of desorption of monolayers from the gold surface.
Towards large scale land-cover recognition of satellite images (2011)

The entire Earth surface has been documented with satellite imagery. The amount of data continues to grow as higher resolutions and temporal information become available. With this increasing amount of surface and temporal data, recognition, segmentation, and event detection in satellite images with a highly scalable system becomes more and more desirable. In this paper, a semantic taxonomy is constructed for the land-cover classification of satellite images. Both the training and running of the classifiers are implemented in a distributed Hadoop computing platform. Publicly available high resolution datasets were collected and divided into tiles of fixed dimensions as training data. The training data was manually indexed into the semantic taxonomy categories, such as ”Vegetation”, ”Building”, and ”Pavement”. A scalable modeling system implemented in the Hadoop MapReduce framework is used for training the classifiers and performing subsequent image classification. A separate larger test dataset of the San Diego region, acquired from Microsoft BING Maps, was used to demonstrate the efficacy of our system at large scale. The presented methodology of land-cover recognition provides a scalable solution for automatic satellite imagery analysis, especially when GIS data is not readily available, or surface change may occur due to catastrophic events such as flooding, hurricane, and snow storm, etc.
Supplementary Figure Legends from WWOX Inhibits Metastasis of Triple-Negative Breast Cancer Cells via Modulation of miRNAs (2023)

&lt;p&gt;Supplementary Figure 1: Relapse-free survival (RFS) analysis for WWOX in KM plotter. Supplementary Figure 2: Relapse-free survival (RFS) analysis for the WWOX gene in TCGA dataset. Supplementary Figure 3: Boxplots for each comparison of the expression of the specific gene between WWOX+ (&gt;75th percentile) and WWOX- (&lt;25th percentile) samples. Supplementary Figure 4: WWOX restoration reduces proliferation and Matrigel invasion in vitro. Supplementary Figure 5: WWOX restoration attenuates mammary tumor growth and inhibits metastasis formation in vivo. Supplementary Figure 6: WWOX restoration inhibits metastasis formation and colonization in vivo. Supplementary figure 7: Effect of WWOX manipulation in TNBC cells. Supplementary figure 8: WWOX negatively regulates Fibronectin expression in vivo. Supplementary figure 9: WWOX overexpression modulates microRNAs expression. Supplementary figure 10: Inverse correlation between Fibronectin and miR-146a in TNBC samples. Supplementary Figure 11: miR-146a expression predicts improved survival in triple-negative breast cancer patients. Supplementary Figure 12: WWOX overexpression inhibits MYC activity. Supplementary figure 13: Densitometric quantification of all western blots.&lt;/p&gt;