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Hyperpolarized (HP) 13C Magnetic Resonance Imaging (MRI) was applied for the first time to image and quantify the uptake and metabolism of [2–13C]pyruvate in the human brain to provide new metabolic information on cerebral energy metabolism. HP [2–13C]pyruvate was injected intravenously and imaged in 5 healthy human volunteer exams with whole brain coverage in a 1-minute acquisition using a specialized spectral-spatial multi-slice echoplanar imaging (EPI) pulse sequence to acquire 13C-labeled volumetric and dynamic images of [2–13C]pyruvate and downstream metabolites [5–13C]glutamate and [2–13C]lactate. Metabolic ratios and apparent conversion rates of pyruvate-to-lactate (kPL) and pyruvate-to-glutamate (kPG) were quantified to investigate simultaneously glycolytic and oxidative metabolism in a single injection.

We present a sample-variance-limited measurement of the temperature power spectrum (TT) of the cosmic microwave background using observations of a ∼1500 deg2 field made by the SPT-3G in 2018. We report multifrequency power spectrum measurements at 95, 150, and 220 GHz covering the angular multipole range 750≤ℓ

Abstract Including millimeter-wave data in multiwavelength studies of the variability of active galactic nuclei (AGN) can provide insights into AGN physics that are not easily accessible at other wavelengths. We demonstrate in this work the potential of cosmic microwave background (CMB) telescopes to provide long-term, high-cadence millimeter-wave AGN monitoring over large fractions of sky. We report on a pilot study using data from the SPTpol instrument on the South Pole Telescope (SPT), which was designed to observe the CMB at arcminute and larger angular scales. Between 2013 and 2016, SPTpol was used primarily to observe a single 500 deg2 field, covering the entire field several times per day with detectors sensitive to radiation in bands centered at 95 and 150 GHz. We use SPT 150 GHz observations to create AGN light curves, and we compare these millimeter-wave light curves to those at other wavelengths, in particular γ-ray and optical. In this Letter, we focus on a single source, PKS 2326-502, which has extensive, day-timescale monitoring data in gamma-ray, optical, and now millimeter-wave between 2013 and 2016. We find PKS 2326-502 to be in a flaring state in the first 2 yr of this monitoring, and we present a search for evidence of correlated variability between millimeter-wave, optical R-band, and γ-ray observations. This pilot study is paving the way for AGN monitoring with current and upcoming CMB experiments such as SPT-3G, Simons Observatory, and CMB-S4, including multiwavelength studies with facilities such as Vera C. Rubin Observatories Large Synoptic Survey Telescope.

SPT-3G is the third survey receiver operating on the South Pole Telescope dedicated to high-resolution observations of the cosmic microwave background (CMB). Sensitive measurements of the temperature and polarization anisotropies of the CMB provide a powerful data set for constraining cosmology. Additionally, CMB surveys with arcminute-scale resolution are capable of detecting galaxy clusters, millimeter-wave bright galaxies, and a variety of transient phenomena. The SPT-3G instrument provides a significant improvement in mapping speed over its predecessors, SPT-SZ and SPTpol. The broadband optics design of the instrument achieves a 430 mm diameter image plane across observing bands of 95, 150, and 220 GHz, with 1.2′ FWHM beam response at 150 GHz. In the receiver, this image plane is populated with 2690 dual-polarization, trichroic pixels ( 1/416,000 detectors) read out using a 68× digital frequency-domain multiplexing readout system. In 2018, SPT-3G began a multiyear survey of 1500 deg2 of the southern sky. We summarize the unique optical, cryogenic, detector, and readout technologies employed in SPT-3G, and we report on the integrated performance of the instrument.

We perform the first simultaneous Bayesian parameter inference and optimal reconstruction of the gravitational lensing of the cosmic microwave background (CMB), using 100 deg2 of polarization observations from the SPTpol receiver on the South Pole Telescope. These data reach noise levels as low as 5.8 µK arcmin in polarization, which are low enough that the typically used quadratic estimator (QE) technique for analyzing CMB lensing is significantly suboptimal. Conversely, the Bayesian procedure extracts all lensing information from the data and is optimal at any noise level. We infer the amplitude of the gravitational lensing potential to be A f =0.949\,\pm \,0.122 using the Bayesian pipeline, consistent with our QE pipeline result, but with 17% smaller error bars. The Bayesian analysis also provides a simple way to account for systematic uncertainties, performing a similar job as frequentist "bias hardening"or linear bias correction, and reducing the systematic uncertainty on A f due to polarization calibration from almost half of the statistical error to effectively zero. Finally, we jointly constrain A f along with A L, the amplitude of lensing-like effects on the CMB power spectra, demonstrating that the Bayesian method can be used to easily infer parameters both from an optimal lensing reconstruction and from the delensed CMB, while exactly accounting for the correlation between the two. These results demonstrate the feasibility of the Bayesian approach on real data, and pave the way for future analysis of deep CMB polarization measurements with SPT-3G, Simons Observatory, and CMB-S4, where improvements relative to the QE can reach 1.5 times tighter constraints on A f and seven times lower effective lensing reconstruction noise.

We present constraints on extensions to the ΛCDM cosmological model from measurements of the E-mode polarization autopower spectrum and the temperature-E-mode cross-power spectrum of the cosmic microwave background (CMB) made using 2018 SPT-3G data. The extensions considered vary the primordial helium abundance, the effective number of relativistic degrees of freedom, the sum of neutrino masses, the relativistic energy density and mass of a sterile neutrino, and the mean spatial curvature. We do not find clear evidence for any of these extensions, from either the SPT-3G 2018 dataset alone or in combination with baryon acoustic oscillation and Planck data. None of these model extensions significantly relax the tension between Hubble-constant, H0, constraints from the CMB and from distance-ladder measurements using Cepheids and supernovae. The addition of the SPT-3G 2018 data to Planck reduces the square-root of the determinants of the parameter covariance matrices by factors of 1.3-2.0 across these models, signaling a substantial reduction in the allowed parameter volume. We also explore CMB-based constraints on H0 from combined SPT, Planck, and ACT DR4 datasets. While individual experiments see some indications of different H0 values between the TT, TE, and EE spectra, the combined H0 constraints are consistent between the three spectra. For the full combined datasets, we report H0=67.49±0.53 km s-1 Mpc-1, which is the tightest constraint on H0 from CMB power spectra to date and in 4.1σ tension with the most precise distance-ladder-based measurement of H0. The SPT-3G survey is planned to continue through at least 2023, with existing maps of combined 2019 and 2020 data already having ∼3.5×lower noise than the maps used in this analysis.

We developed methods for the preparation of hyperpolarized (HP) sterile [2-13C]pyruvate to test its feasibility in first-ever human NMR studies following FDA-IND & IRB approval. Spectral results using this MR stable-isotope imaging approach demonstrated the feasibility of investigating human cerebral energy metabolism by measuring the dynamic conversion of HP [2-13C]pyruvate to [2-13C]lactate and [5-13C]glutamate in the brain of four healthy volunteers. Metabolite kinetics, signal-to-noise (SNR) and area-under-curve (AUC) ratios, and calculated [2-13C]pyruvate to [2-13C]lactate conversion rates (kPL) were measured and showed similar but not identical inter-subject values. The kPL measurements were equivalent with prior human HP [1-13C]pyruvate measurements.

PurposeThe purpose of this study was to characterize tissue-specific alterations in metabolism of hyperpolarized (HP) gluconeogenic precursors 13 C-lactate and 13 C-pyruvate by rat liver and kidneys under conditions of fasting or insulin-deprived diabetes.MethodsSeven normal rats were studied by MR spectroscopic imaging of both HP 13 C-lactate and 13 C-pyruvate in both normal fed and 24 h fasting states, and seven additional rats were scanned after induction of diabetes by streptozotocin (STZ) with insulin withdrawal. Phosphoenolpyruvate carboxykinase (PEPCK) expression levels were also measured in liver and kidney tissues of the STZ-treated rats.ResultsMultiple sets of significant signal modulations were detected, with graded intensity in general between fasting and diabetic states. An approximate two-fold reduction in the ratio of 13 C-bicarbonate to total 13 C signal was observed in both organs in fasting. The ratio of HP lactate-to-alanine was markedly altered, ranging from a liver-specific 54% increase in fasting, to increases of 69% and 92% in liver and kidney, respectively, in diabetes. Diabetes resulted in a 40% increase in renal lactate signal. STZ resulted in 5.86-fold and 2.73-fold increases in PEPCK expression in liver and kidney, respectively.ConclusionMRI of HP 13 C gluconeogenic precursors may advance diabetes research by clarifying organ-specific roles in abnormal diabetic metabolism. Magn Reson Med 77:1429-1437, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

A flood is a natural catastrophe that causes heavy damage not only to people but also to properties. To prevent and mitigate flood damage, an accurate flood susceptibility map that reveals highly potential floodprone areas is essential. This study aims to construct flood susceptibility maps in the Huong Khe district using three machine learning algorithms, namely the K - Nearest Neighbour (KNN), the Support Vector Machine (SVM) and Artificial Neural Network (ANN). Training and testing datasets were extracted from Sentinel-1 SAR images. Seven causative factors were selected as input for predictive models after removing highcorrelation factors and unimportant factors through a rigorous screening process by analyzing the Pearson correlation coefficient (PCC) and calculating the information gain ratio (InGR). The model's hyperparameters were found by grid search algorithm integrated 5-fold cross-validation. The three optimal flood susceptibility models showed excellent performance, with very high accuracy indices in the training and testing phases, over 90% of overall accuracy and UAC values. High and very high susceptibility classes on flood susceptibility maps accounted for around 18% of the total study area and were mainly located in residential and agricultural areas. Thus, there is a need to make proper land use planning for these areas to reduce damage in flood seasons. [ABSTRACT FROM AUTHOR]

Anthony C Oganov, Timothy Y Chou, Paris M Hanson, Azin Abazari, Preston Kung, Sarah B Weissbart, Jacqueline N Lenoci, Robert A Honkanen Department of Ophthalmology, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, 11974, USACorrespondence: Timothy Y Chou, Department of Ophthalmology, Renaissance School of Medicine, Stony Brook University, HSC L2, Rm 152, Stony Brook, NY, 11974, USA, Tel +1 631444-1131, Fax +631444-4089, Email timothy.chou@stonybrookmedicine.eduPurpose: The aim of the research was to evaluate the use of teleophthalmology at a university practice during the COVID-19 pandemic, specifically examining precision, effectiveness, and patient satisfaction.Patients and Methods: Telemedicine visits were offered to new and established patients requesting appointments with the Stony Brook University Department of Ophthalmology between March 30 and June 2, 2020. Records from these visits were reviewed for chief complaint, past medical and ocular history, diagnoses, treatment/management, and providers’ sub-specialty. Precision was determined by comparing agreement between diagnoses of the telemedicine visit with those of the subsequent in-person visit. The decision to follow up in person was made by the physician and patient. Diagnostic precision as well as progression, improvement, or stability of patients’ symptoms were determined by the physician’s assessment at follow-up visits. Post-telemedicine visit satisfaction surveys were sent to all patients.Results: Telemedicine visits were offered to 783 patients, 520 (66.4%) of whom accepted. Of these 520 patients, 409 (78.7%) were established and 105 (20.2%) had in-person, follow-up visits. Overall, the diagnostic precision of the follow-up visits was 89.5%. Precision differed significantly across ophthalmologic subspecialties. Of the patients who had in-person follow-up visits, 56.8% remained stable, 32.4% improved, and 10.8% worsened. Established patients presented with more extensive ocular histories/procedures and experienced a higher percentage of worsening symptoms/disease stage compared to new patients. Oculoplastics/orbit was the most prevalent diagnostic subspecialty that worsened. Surveys were sent to all patients completing telemedicine visits, 15.0% of whom responded. Overall satisfaction was 91.9%, although only 23.0% of respondents preferred telemedicine to an in-office visit.Conclusion: Telehealth provides high levels of precision and patient satisfaction for a wide range of ophthalmologic visits, although most patients still prefer in-office examinations. Employing teleophthalmology for follow-up and emergency care may provide patients with an effective alternative during pandemic situations and beyond.Plain Language Summary: Telemedicine involves integration of modern telecommunications technology into medical practice. Over the years, it has demonstrated greater and more widespread utility for different medical specialties, including ophthalmology.As a response to the recent COVID-19 pandemic, the Stony Brook University Department of Ophthalmology provided an option of telemedicine for patients in lieu of in-person eye examinations. In this paper, Stony Brook ophthalmologists report on their experience with teleophthalmology, particularly regarding its utilization, accuracy, effectiveness, precision, and acceptability. The authors examined the records of 520 patients who had telemedicine encounters between March 30 and June 2, 2020. Precision was determined by comparing the initial and final diagnoses of all patients who had an in-person follow-up appointment following a telemedicine visit. Of 105 patients that followed up, precision was determined to be 89.5%. Precision was compared across ophthalmologic subspecialties and found to be statistically similar (p> 0.05). Approximately a third of patients improved, while nearly 11% worsened. Established and oculoplastics patients were more significantly likely to worsen. Surverys were sent out to study patients to gauge their satisfaction with their telemedicine experience. Although satisfaction was nearly 92%, only 23% of patients preferred telemedicine to an in-person physician encounter. The authors conclude that teleophthalmology provides a high level of diagnostic precision and patient satisfaction; nevertheless, most patients prefer in-person physician encounters. Telemedicine may provide an effective alternative to in-person ophthalmology assessments, especially during a pandemic. There appears to be a lesser but potentially useful role for teleophthalmology in a non-pandemic setting.Keywords: Teleophthalmology, teleglaucoma, teleretina, telehealth, coronavirus

Shih-Ching Chin,1,* Yun-Hsuan Chang,2– 6,* Chih-Chun Huang,6,7 Ting-Hsi Chou,1 Chieh-Liang Huang,8 Hsiu-Man Lin,9 Marc N Potenza10 1Department of Psychology, Asia University, Taichung, Taiwan; 2Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 3Institute of Behavioral Medicine, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 4Department of Psychology, National Cheng Kung University, Tainan, Taiwan; 5Institute of Genomics and Bioinformatics, College of Life Sciences, National Chung Hsing University, Taichung, Taiwan; 6Department of Psychiatry, National Cheng Kung University Hospital, Douliou Branch, Yunlin, Taiwan; 7Department of Psychiatry, College of Medicine, National Cheng Kung University, Tainan, Taiwan; 8Department of Psychiatry, Tsaotun Psychiatric Center, Ministry of Health and Welfare, Nantou, Taiwan; 9Department of Child and Adolescent Development and Mental Health, China Medical University Children’s Hospital, Taichung, Taiwan; 10Psychiatry, Child Study and Neuroscience, Center of Excellence in Gambling Research, Yale School of Medicine, New Haven, CT, USA*These authors contributed equally to this workCorrespondence: Yun-Hsuan Chang, Licensed Clinical Psychologist, Institute of Gerontology, College of Medicine; Department of Psychology, National Cheng Kung University, No. 1., University Road, Tainan, Taiwan, Email z11108051@ncku.edu.tw; yh.chang.snoopy@gmail.comIntroduction: The surge in mobile gaming, fueled by smartphone and internet accessibility, lacks a comprehensive understanding of physiological changes during gameplay.Methods: This study, involving 93 participants (average age 21.75 years), categorized them into Problematic Mobile Gaming (PMG) and non-problematic Mobile Gaming (nPMG) groups based on Problematic Mobile Gaming Questionnaire (PMGQ) scores. The PMGQ is a 12-item scale developed in Taiwan to assess symptoms of problematic mobile gaming. The research delved into heart rate variability (HRV) alterations during real-time mobile gaming and self-gaming video viewing.Results: Results showed that the PMG group significantly presents a lower root mean square of successive differences (RMSSD), and High Frequency (lnHF) than does the nPMG group (F=4.73, p=0.03; F=10.65, p=0.002, respectively) at the baseline. In addition, the PMG group significantly displayed elevated HF and low-frequency to high-frequency (LF/HF) in the mobile-gaming (F=7.59, p=0.007; F=9.31, p=0.003) condition as well as in the watching self-gaming videos (F=9.75, p=0.002; F=9.02, p=0.003) than did the nPMG.Conclusion: The study suggests targeted interventions to mitigate autonomic arousal, offering a potential avenue to address adverse effects associated with problematic mobile gaming behavior. The PMG group displayed increased craving scores after real-time mobile gaming and watching self-gaming video excerpts, unlike the nPMG group. Elevated LF/HF ratios in frequent gaming cases heightened autonomic arousal, presenting challenges in relaxation after mobile gaming. These findings contribute to a nuanced understanding of the complex interplay between mobile gaming activities, physiological responses, and potential intervention strategies.Keywords: addictive behaviors, video games, internet addiction, autonomic nervous system, craving, heart rate variability, self-regulation