IBM today announced that according to results from International Data Corporation (IDC) Worldwide Quarterly Server Tracker®(June, 2017) IBM has achieved market growth by 3x compared with the total Linux server market which grew at +6 percent. The improved performance are the result of success across IBM Power Systems including IBM’s OpenPOWER LC servers and IBM Power Systems running SAP HANA as well as the OpenPOWER-Ready servers developed through the OpenPOWER Foundation.

IBM today announced that Vissensa, a UK-based managed service provider (MSP), has taken delivery of the IBM Enterprise Cloud System, which will help the company offer new and improved cloud services to its customers.

A l’occasion du CES de Las Vegas, IBM annonce le lancement d’Advertising Accelerator with Watson, une solution unique de prédiction d’audiences pour annonceurs.

IBM, rejoint par plus de 100 partenaires commerciaux, lance le réseau IBM Digital Marketing dans le cloud et aide les directeurs marketing (CMO) et leurs équipes à intégrer plus rapidement et plus facilement de nouveaux services marketing, afin de mesurer et d’améliorer leur efficacité en temps réel.

IBM (NYSE: IBM) today announced a new collaboration with Thiess, one of the world’s largest contract miners, to use Big Data to improve machine availability and operational productivity utilizing predictive analytics and modeling technologies. This initial collaboration focuses on Thiess’ Mining haul trucks and excavators, and will help unify asset management and business operations.

Playing to 130,000 online, with a virtual tip jar: Performers adapt to life under coronavirus  ABC News

Chelsea is currently sitting at the tip of the Premier League’s bottom half of the table. It is not a..

The post Frank Lampard’s Top 3 Performances for Chelsea appeared first on Chelsea FC Blog.

Most jobs require teamwork. Are some people good team players? In this paper we design and test a new method for identifying individual contributions to group performance. We randomly assign people to multiple teams and predict team performance based on previously assessed individual skills. Some people consistently cause their group to exceed its predicted performance. We call these individuals “team players”. Team players score significantly higher on a well-established measure of social intelligence, but do not differ across a variety of other dimensions, including IQ, personality, education and gender. Social skills – defined as a single latent factor that combines social intelligence scores with the team player effect – improve group performance about as much as IQ. We find suggestive evidence that team players increase effort among teammates.

City middle and high school students streamed off buses and trains, buzzing with excitement for the afternoon’s entertainment. For some, it was the first chance to see a Broadway show.

Clippers stars Kawhi Leonard and Paul George know time is running out to develop consistency that matches their top-end potential.

Markieff Morris wasn't very pleased with how he played against Zion Williamson and the Pelicans on Sunday, so the new Laker did something about it.

In victories over the Bucks and Clippers — two of the NBA's finest teams — LeBron James showed how much of a difference-maker he is for the Lakers.

Dennehy, who died April 15, plays a suburban widower who befriends a mother and her son in one of his last films. It's the kind of deeply lived-in performance that Dennehy was known for.

Dennehy, who died April 15, plays a suburban widower who befriends a mother and her son in one of his last films. It's the kind of deeply lived-in performance that Dennehy was known for.

Bruins rank 18th nationally for month in one metric that is important to gamblers. Team hoping NCAA Tournament selectors are paying attention.

Austin Beutner has moved quickly to confront the coronavirus crisis in L.A. schools. But the emergency will continue even after the virus fades away.

For almost a year, my chamber group worked on a piece meant to be performed in complete darkness. When the coronavirus put our plans on hold, our mentor told us we would keep growing even though the world would never be the same.

From Martin Scorsese to Idina Menzel, the audience at Sunday's Academy Awards ceremony was perplexed by Eminem's performance of his 2002 hit "Lose Yourself."

Newly minted Grammy-winner Billie Eilish will perform live at the Oscars ceremony next month.

The Brombergs, who immigrated to Israel from São Paulo, Brazil in 2018, play and sing Leonard Cohen’s enduring classic song in English and Hebrew.

Ferrari's 488 Pista, which replaces the 458 Speciale, is driven by the most powerful V8 engine Ferrari has ever put in a road car.

Tottenham have been compared to Stoke sides of the past after their loss to Chelsea.

OWAIN Fon Williams hopes Wales boss Chris Coleman caught a glimpse of his goalkeeping heroics against Celtic.

Art & Soul celebrates African-American art and artists in Indiana. The event coincides with Black History Month.

Kevin Jones performs his song, "I Can See The Stars" before the Tom Odell show at the Moroccan Lounge in Los Angeles.

Scientists predict the explosive behaviour of two supermassive black holes almost to the hour.

A team of researchers from Dartmouth say they’ve created a mobile sensing system — consisting of fitness bracelets, sensors and a custom app — that can measure employee performance with about 80 percent accuracy.

Several Hollywood A-listers gave a reading of select parts of the report in New York.

The "Megatron" rapper is set to perform in the country next week despite calls to quit the gig over the government's alleged human rights violations.

It’s not good for people to be alone. Quarantining has been difficult for many people who have gotten used to socializing daily, and because of that, some have found ways to follow the rules but feel a little less isolated. Some neighborhoods have decided to be social while maintaining the suggested distance apart, whether that’s…

The post ‘The Voice’ Contestant Alexa Cappelli Treats Neighbors to Weekly Performance in Her Cul-de-Sac appeared first on The Western Journal.

"They sing the song," writes Real Big Boys. "Thanks to the Melni Pinniped Choir for barking."

Previously. Read the rest

Jennifer Usellis-Mackay, aka the Klingon Pop Warrior, sings "Somewhere Over the Rainbow" in her native tongue. The performance took place in 2015 at Chicago's iO Theater. From the video description:

Opening for Improvised Star Trek, I sang a new (old) song. Got some newly translated words the day of the performance... enjoy this little slice of nerdiness... or don't.

Vocals - The Klingon Pop Warrior (Jennifer Usellis-Mackay) Guitar - The Red Shirt (Joe Mizzi) Translation - Admiral qurgh (Christopher Lipscombe) Video - Eric Scull

(via r/ObscureMedia) Read the rest

7 May 2020 , Volume 96, Number 3

7 May 2020 , Volume 96, Number 3

Premiere US troupe Cirque Mechanics will bring their fun-filled show Pedal Punk to Hong Kong audiences as young as three in December.

Audiences will experience the excitement, artistry and surprises that occur when a wacky bike shop mechanic interacts with cyclists and bikes, ultimately repairing more than broken bicycle parts.

With circus acrobatics, mechanical wonders and a bit of clowning around, the show promises to provide an entertaining acrobatic experience for audiences looking for fun and excitement.

Presented by the Leisure & Cultural Services Department as part of the “Cheers!” Series, the show will be staged at 8pm from December 26 to 28 at Queen Elizabeth Stadium.

Tickets are available at URBTIX. One ticket per person is required regardless of age.

Call 2268 7323 for enquiries.

(Institute for Operations Research and the Management Sciences) Job performance has long been understood to be the primary equalizing factor affecting promotions for men and women in the workplace, but research shows, women don't gain as much from the same performance improvements as men do. New research in the INFORMS journal Information Systems Research shows training plays an important part in promotions for women in the field of information technology.

7 May 2020 , Volume 96, Number 3

Purpose: To assess the performance of full dose (FD) positron emission tomography (PET) image synthesis in both image and projection space from low-dose (LD) PET images/sinograms without sacrificing diagnostic quality using deep learning techniques. Methods: Clinical brain PET/CT studies of 140 patients were retrospectively employed for LD to FD PET conversion. 5% of the events were randomly selected from the FD list-mode PET data to simulate a realistic LD acquisition. A modified 3D U-Net model was implemented to predict FD sinograms in the projection-space (PSS) and FD images in image-space (PIS) from their corresponding LD sinograms/images, respectively. The quality of the predicted PET images was assessed by two nuclear medicine specialists using a five-point grading scheme. Quantitative analysis using established metrics including the peak signal-to-noise ratio (PSNR), structural similarity index metric (SSIM), region-wise standardized uptake value (SUV) bias, as well as first-, second- and high-order texture radiomic features in 83 brain regions for the test and evaluation dataset was also performed. Results: All PSS images were scored 4 or higher (good to excellent) by the nuclear medicine specialists. PSNR and SSIM values of 0.96 ± 0.03, 0.97 ± 0.02 and 31.70 ± 0.75, 37.30 ± 0.71 were obtained for PIS and PSS, respectively. The average SUV bias calculated over all brain regions was 0.24 ± 0.96% and 1.05 ± 1.44% for PSS and PIS, respectively. The Bland-Altman plots reported the lowest SUV bias (0.02) and variance (95% CI: -0.92, +0.84) for PSS compared with the reference FD images. The relative error of the homogeneity radiomic feature belonging to the Grey Level Co-occurrence Matrix category was -1.07 ± 1.77 and 0.28 ± 1.4 for PIS and PSS, respectively Conclusion: The qualitative assessment and quantitative analysis demonstrated that the FD PET prediction in projection space led to superior performance, resulting in higher image quality and lower SUV bias and variance compared to FD PET prediction in the image domain.

Recently introduced PET systems using silicon photomultipliers with digital readout (dPET) have an improved timing and spatial resolution, aiming at a better image quality, over conventional PET (cPET) systems. We prospectively evaluated the performance of a dPET system in patients with cancer, as compared to high-resolution (HR) cPET imaging. Methods: After a single FDG-injection, 66 patients underwent dPET (Vereos, Philips Healthcare) and cPET (Ingenuity TF, Philips Healthcare) imaging in a randomized order. We used HR-reconstructions (2x2x2 mm³ voxels) for both scanners and determined SUV_max, SUVmean, lesion-to-background ratio (LBR), metabolic tumor volume (MTV) and lesion diameter in up to 5 FDG-positive lesions per patient. Furthermore, we counted the number of visible and measurable lesions on each PET scan. Two nuclear medicine specialists blindly determined the Tumor Node Metastasis (TNM) score from both image sets in 30 patients referred for initial staging. For all 66 patients, these specialists separately and blindly evaluated image quality (4-point scale) and determined the scan preference. Results: We included 238 lesions that were visible and measurable on both PET scans. We found 37 additional lesions on dPET in 27 patients (41%), which were unmeasurable (n = 14) or invisible (n = 23) on cPET. SUVmean, SUV_max, LBR and MTV on cPET were 5.2±3.9 (mean±SD), 6.9±5.6, 5.0±3.6 and 2991±13251 mm³, respectively. On dPET SUVmean, SUV_max and LBR increased 24%, 23% and 27%, respectively (p<0.001) while MTV decreased 13% (p<0.001) compared to cPET. Visual analysis showed TNM upstaging with dPET in 13% of the patients (4/30). dPET images also scored higher in image quality (P = 0.003) and were visually preferred in the majority of cases (65%). Conclusion: Digital PET improved the detection of small lesions, upstaged the disease and images were visually preferred as compared to high-resolution conventional PET. More studies are necessary to confirm the superior diagnostic performance of digital PET.

Latest digital whole-body PET scanners provide a combination of higher sensitivity and improved spatial and timing resolution. We performed a lesion detectability study on two generations of Siemens Biograph PET/CT scanners, the mCT and Vision, to study the impact of improved physical performance on clinical performance. Our hypothesis is that the improved performance of the Vision will result in improved lesion detectability, allowing shorter imaging times or equivalently, lower injected dose. Methods: Data were acquired with the Society of Nuclear Medicine and Molecular Imaging Clinical Trials Network torso phantom combined with a 20-cm diameter cylindrical phantom. Spherical lesions were emulated by acquiring spheres-in-air data, and combining it with the phantom data to generate combined datasets with embedded lesions of known contrast. Two sphere sizes and uptakes were used: 9.89 mm diameter spheres with 6:1 (lung) and 3:1 (cylinder) and 4.95 mm diameter spheres with 9.6:1 (lung) and 4.5:1 (cylinder) local activity concentration uptakes. Standard image reconstruction was performed: ordinary Poisson ordered subsets expectation maximization algorithm with point spread function and time-of-flight modeling and post-reconstruction smoothing with a 5 mm Gaussian filter. The Vision images were also generated without any post-reconstruction smoothing. Generalized scan statistics methodology was used to estimate the area under the localization receiver operating characteristic curve (ALROC). Results: Higher sensitivity and improved TOF performance of Vision leads to reduced contrast in the background noise nodule distribution. Measured lesion contrast is also higher on the Vision due to its improved spatial resolution. Hence, the ALROC values are noticeably higher for the Vision relative to the mCT. Conclusion: Improved overall performance of the Vision provides a factor of 4-6 reduction in imaging time (or injected dose) over the mCT when using the ALROC metric for lesions >9.89 mm in diameter. Smaller lesions are barely detected in the mCT, leading to even higher ALROC gains with the Vision. Improved spatial resolution of the Vision also leads to a higher measured contrast that is closer to the real uptake, implying improved quantification. Post-reconstruction smoothing, however, reduces this improvement in measured contrast, thereby reducing the ALROC values for small, high uptake lesions.

A data-driven method for respiratory gating in PET has recently been commercially developed. We sought to compare the performance of the algorithm to an external, device-based system for oncological [¹⁸F]-FDG PET/CT imaging. Methods: 144 whole-body [¹⁸F]-FDG PET/CT examinations were acquired using a Discovery D690 or D710 PET/CT scanner (GE Healthcare), with a respiratory gating waveform recorded by an external, device based respiratory gating system. In each examination, two of the bed positions covering the liver and lung bases were acquired with duration of 6 minutes. Quiescent period gating retaining ~50% of coincidences was then able to produce images with an effective duration of 3 minutes for these two bed positions, matching the other bed positions. For each exam, 4 reconstructions were performed and compared: data driven gating (DDG-retro), external device-based gating (RPM Gated), no gating but using only the first 3 minutes of data (Ungated Matched), and no gating retaining all coincidences (Ungated Full). Lesions in the images were quantified and image quality was scored by a radiologist, blinded to the method of data processing. Results: The use of DDG-retro was found to increase SUVmax and to decrease the threshold-defined lesion volume in comparison to each of the other reconstruction options. Compared to RPM-gated, DDG-retro gave an average increase in SUV_max of 0.66 ± 0.1 g/mL (n=87, p<0.0005). Although results from the blinded image evaluation were most commonly equivalent, DDG-retro was preferred over RPM gated in 13% of exams while the opposite occurred in just 2% of exams. This was a significant preference for DDG-retro (p=0.008, n=121). Liver lesions were identified in 23 exams. Considering this subset of data, DDG-retro was ranked superior to Ungated Full in 6/23 (26%) of cases. Gated reconstruction using the external device failed in 16% of exams, while DDG-retro always provided a clinically acceptable image. Conclusion: In this clinical evaluation, the data driven respiratory gating technique provided superior performance as compared to the external device-based system. For the majority of exams the performance was equivalent, but data driven respiratory gating had superior performance in 13% of exams, leading to a significant preference overall.

Top-down proteomics studies intact proteoform mixtures and offers important advantages over more common bottom-up proteomics technologies, as it avoids the protein inference problem. However, achieving complete molecular characterization of investigated proteoforms using existing technologies remains a fundamental challenge for top-down proteomics. Here, we benchmark the performance of ultraviolet photodissociation (UVPD) using 213 nm photons generated by a solid-state laser applied to the study of intact proteoforms from three organisms. Notably, the described UVPD setup applies multiple laser pulses to induce ion dissociation, and this feature can be used to optimize the fragmentation outcome based on the molecular weight of the analyzed biomolecule. When applied to complex proteoform mixtures in high-throughput top-down proteomics, 213 nm UVPD demonstrated a high degree of complementarity with the most employed fragmentation method in proteomics studies, higher-energy collisional dissociation (HCD). UVPD at 213 nm offered higher average proteoform sequence coverage and degree of proteoform characterization (including localization of post-translational modifications) than HCD. However, previous studies have shown limitations in applying database search strategies developed for HCD fragmentation to UVPD spectra which contains up to nine fragment ion types. We therefore performed an analysis of the different UVPD product ion type frequencies. From these data, we developed an ad hoc fragment matching strategy and determined the influence of each possible ion type on search outcomes. By paring down the number of ion types considered in high-throughput UVPD searches from all types down to the four most abundant, we were ultimately able to achieve deeper proteome characterization with UVPD. Lastly, our detailed product ion analysis also revealed UVPD cleavage propensities and determined the presence of a product ion produced specifically by 213 nm photons. All together, these observations could be used to better elucidate UVPD dissociation mechanisms and improve the utility of the technique for proteomic applications.

Lung cancer (LC) remains the leading cause of mortality from malignant tumors worldwide. In our previous study, we surveyed both IgG and IgM-bound serological biomarkers and validated a panel of IgG-bound autoantigens for early LC diagnosis with 50% sensitivity at 90% specificity. To further improve the performance of these serological biomarkers, we surveyed HuProt arrays, comprised of 20,240 human proteins, for IgA-bound autoantigens because IgAs are a major immunoglobulin isotype in the lung. Integrating with IgG-bound autoantigens, we discovered and validated a combined biomarker panel using ELISA-format tests. Specifically, in Phase I, we obtained IgA-based autoimmune profiles of 69 early stage LC patients, 30 healthy subjects and 25 patients with lung benign lesions (LBL) on HuProt arrays and identified 28 proteins as candidate autoantigens that were significantly associated with early stage LC. In Phase II, we re-purified the autoantigens and converted them into an ELISA-format testing to profile an additional large cohort, comprised of 136 early stage LC patients, 58 healthy individuals, and 29 LBL patients. Integration of IgG autoimmune profiles allowed us to identify and validate a biomarker panel of three IgA autoantigens (i.e. BCL7A, and TRIM33 and MTERF4) and three IgG autoantigens (i.e. CTAG1A, DDX4 and MAGEC2) for diagnosis of early stage LC with 73.5% sensitivity at >85% specificity. In Phase III, the performance of this biomarker panel was confirmed with an independent cohort, comprised of 88 early stage LC patients, 18 LBL patients, and 36 healthy subjects. Finally, a blind test on 178 serum samples was conducted to confirm the performance of the biomarker panel. In summary, this study demonstrates for the first time that an integrated panel of IgA/IgG autoantigens can serve as valuable biomarkers to further improve the performance of early diagnosis of LC.

For more than two decades naturally presented, human leukocyte antigen (HLA)-restricted peptides (immunopeptidome) have been eluted and sequenced using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Since, identified disease-associated HLA ligands have been characterized and evaluated as potential active substances. Treatments based on HLA-presented peptides have shown promising results in clinical application as personalized T cell-based immunotherapy. Peptide vaccination cocktails are produced as investigational medicinal products under GMP conditions. To support clinical trials based on HLA-presented tumor-associated antigens, in this study the sensitive LC-MS/MS HLA class I antigen identification pipeline was fully validated for our technical equipment according to the current US Food and Drug Administration (FDA) and European Medicines Agency (EMA) guidelines.

The immunopeptidomes of JY cells with or without spiked-in, isotope labeled peptides, of peripheral blood mononuclear cells of healthy volunteers as well as a chronic lymphocytic leukemia and a bladder cancer sample were reliably identified using a data-dependent acquisition method. As the LC-MS/MS pipeline is used for identification purposes, the validation parameters include accuracy, precision, specificity, limit of detection and robustness.