Deep learning reconstruction for zero echo time lung magnetic resonance imaging: impact on image quality and lesion detection

AIMS

This study aimed to examine the impact of deep-learning reconstruction (DLR) on zero echo time (ZTE) lung MRI.

MATERIALS AND METHODS

Fifty-nine patients who underwent both chest CT and ZTE lung magnetic resonance imaging (MRI) were enrolled. Noise reduction in ZTE lung MRI was compared using various DLR intensities (DLR-M, DLR-H) and conventional image filtering techniques (NF1 ∼ NF4). The normalized noise power spectrum (NPS) was analysed through phantom experiments. Image sharpness was evaluated using a blur metric. We compared subjective image quality and the detection of sub-centimetre nodules and emphysema between the original and noise-reduced images. Statistical analyses included the Wilcoxon signed-rank and McNemar's tests, with inter-reader agreement assessed via Kappa coefficients.

RESULTS

NPS peaks were lower in NF1 through NF4, DLR-M, and DLR-H compared to the original images. While the average spatial frequency of the NPS shifted towards lower frequencies with increasing NF levels, it remained unchanged with DLR. Blur metric values of NF1∼NF4 were significantly higher than those of the original images (p<0.008). However, there were no significant differences in blur metric values between DLR-M, DLR-H, and the original images. Image quality was rated highest for DLR-H, with a statistically significant improvement over the original (p<0.05). DLR-H showed higher diagnostic confidence for detecting sub-centimetre nodules than the original images. DLR-H showed higher diagnostic performance than the original for detecting emphysema.

CONCLUSIONS

DLR can improve ZTE lung MRI quality while preserving image texture and sharpness, thereby enhancing the potential of ZTE for evaluating pulmonary parenchymal disease.

Predicting optimal patient-specific postoperative facial landmarks for patients with craniomaxillofacial deformities

Orthognathic surgery primarily corrects skeletal anomalies and malocclusion to enhance facial aesthetics, aiming for an improved facial appearance. However, this traditional skeletal-driven approach may result in undesirable residual asymmetry. To address this issue, a soft tissue-driven planning methodology has been proposed. This technique estimates bone movements based on the envisioned optimal facial appearance, thereby enhancing surgical accuracy and effectiveness. This study investigates the initial implementation phase of the soft tissue-driven approach, simulating the patient's ideal appearance by realigning distorted facial landmarks to an ideal state. The algorithm employs symmetrization and weighted optimization strategies, aligning projected optimal landmarks with standard cephalometric values for both facial symmetry and form, which are essential in orthognathic surgery for facial aesthetics. It also incorporates regularization to preserve the patient's facial characteristics. Validation through retrospective analysis of preoperative patients and normal subjects demonstrates this method's efficacy in achieving facial symmetry, particularly in the lower face, and promoting a natural, harmonious contour. Adhering to soft tissue-driven principles, this novel approach shows promise in surpassing traditional methods, potentially leading to enhanced facial outcomes and patient satisfaction in orthognathic surgery.

Observation of the Λ b 0 → J / ψ Ξ - K + decay

Using proton-proton collision data corresponding to an integrated luminosity of 140 fb - 1 collected by the CMS experiment ats = 13 Te V , theΛ b 0 → J / ψ Ξ - K + decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to theΛ b 0 → ψ ( 2 S ) Λ decay, is measured to be B ( Λ b 0 → J / ψ Ξ - K + ) / B ( Λ b 0 → ψ ( 2 S ) Λ ) = [ 3.38 ± 1.02 ± 0.61 ± 0.03 ] % , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in B ( ψ ( 2 S ) → J / ψ π + π - ) and B ( Ξ - → Λ π - ) .

Ultra-high-energy gamma-ray bubble around microquasar V4641 Sgr

Microquasars are laboratories for the study of jets of relativistic particles produced by accretion onto a spinning black hole. Microquasars are near enough to allow detailed imaging of spatial features across the multiwavelength spectrum. The recent extension measurement of the spatial morphology of a microquasar, SS 433, to TeV gamma rays1 localizes the acceleration of electrons at shocks in the jet far from the black hole2. V4641 Sagittarii (V4641 Sgr) is a similar binary system with a black hole and B-type main-sequence companion star and has an orbit period of 2.8 days (refs. 3,4). It stands out for its super-Eddington accretion5 and for its radio jet, which is one of the fastest superluminal jets in the Milky Way. Previous observations of V4641 Sgr did not report gamma-ray emission6. Here we report TeV gamma-ray emission from V4641 Sgr that reveals particle acceleration at similar distances from the black hole as SS 433. Furthermore, the gamma-ray spectrum of V4641 Sgr is among the hardest TeV spectra observed from any known gamma-ray source and is detected above 200 TeV. Gamma rays are produced by particles, either electrons or protons, of higher energies. Because energetic electrons lose energy more quickly the higher their energy, such a spectrum either very strongly constrains the electron-production mechanism or points to the acceleration of high-energy protons. This suggests that large-scale jets from microquasars could be more common than previously expected and that they could be a notable source of galactic cosmic rays7-9.

Phase transitions in random circuit sampling

Undesired coupling to the surrounding environment destroys long-range correlations in quantum processors and hinders coherent evolution in the nominally available computational space. This noise is an outstanding challenge when leveraging the computation power of near-term quantum processors1. It has been shown that benchmarking random circuit sampling with cross-entropy benchmarking can provide an estimate of the effective size of the Hilbert space coherently available2-8. Nevertheless, quantum algorithms' outputs can be trivialized by noise, making them susceptible to classical computation spoofing. Here, by implementing an algorithm for random circuit sampling, we demonstrate experimentally that two phase transitions are observable with cross-entropy benchmarking, which we explain theoretically with a statistical model. The first is a dynamical transition as a function of the number of cycles and is the continuation of the anti-concentration point in the noiseless case. The second is a quantum phase transition controlled by the error per cycle; to identify it analytically and experimentally, we create a weak-link model, which allows us to vary the strength of the noise versus coherent evolution. Furthermore, by presenting a random circuit sampling experiment in the weak-noise phase with 67 qubits at 32 cycles, we demonstrate that the computational cost of our experiment is beyond the capabilities of existing classical supercomputers. Our experimental and theoretical work establishes the existence of transitions to a stable, computationally complex phase that is reachable with current quantum processors.

Portable Acceleration of CMS Computing Workflows with Coprocessors as a Service

Computing demands for large scientific experiments, such as the CMS experiment at the CERN LHC, will increase dramatically in the next decades. To complement the future performance increases of software running on central processing units (CPUs), explorations of coprocessor usage in data processing hold great potential and interest. Coprocessors are a class of computer processors that supplement CPUs, often improving the execution of certain functions due to architectural design choices. We explore the approach of Services for Optimized Network Inference on Coprocessors (SONIC) and study the deployment of this as-a-service approach in large-scale data processing. In the studies, we take a data processing workflow of the CMS experiment and run the main workflow on CPUs, while offloading several machine learning (ML) inference tasks onto either remote or local coprocessors, specifically graphics processing units (GPUs). With experiments performed at Google Cloud, the Purdue Tier-2 computing center, and combinations of the two, we demonstrate the acceleration of these ML algorithms individually on coprocessors and the corresponding throughput improvement for the entire workflow. This approach can be easily generalized to different types of coprocessors and deployed on local CPUs without decreasing the throughput performance. We emphasize that the SONIC approach enables high coprocessor usage and enables the portability to run workflows on different types of coprocessors.

A phase 2 feasibility study of nab-paclitaxel and carboplatin in epithelial carcinoma of the uterus

BACKGROUND

We evaluated the feasibility of completing 6 cycles of nab-paclitaxel (nab-P) and carboplatin (C) in a single arm prospective clinical trial for advanced/recurrent EC and safety and efficacy of day (D) 1, 8 nab-P in combination with D1 C q3weeks.

METHODS

Patients with early-stage, high-risk, advanced primary/recurrent EC without prior platinum/taxane exposure were enrolled in an open-label, single-institution trial (NCT02744898). Patients received 6 cycles of D1 nab-P 100 mg/m2 IV with C AUC 6 IV and D8 nab-P 100 mg/m2 IV q21D. The trial tested the null hypothesis that subjects completing 6 cycles was ≤0.50 versus the alternative that the proportion is ≥0.75 in a single stage design with alpha = 0.05 and power = 80% with 23 subjects. Patients who completed 6 cycles (primary outcome), objective response rate (ORR) and clinical benefit rate (CBR) were estimated with exact 95% Clopper-Pearson confidence intervals. Progression free survival (PFS) and overall survival (OS) were estimated using Kaplan-Meier methods.

RESULTS

From 08/2016-03/2018, 23 patients were enrolled. Nineteen patients (82.6%, 95% CI: 61.2%, 95.0%) completed 6 cycles, thus we could reject our null. Twelve patients (52.2%) experienced ≥1 grade 3/4 treatment-related adverse events including: anemia, 6 (26.1%); neutropenia, 5 (21.7%); diarrhea, 3 (13.0%). Fourteen patients (60.1%) reported grade 1 neuropathy. Of 9 patients with measurable target lesions, the ORR was 33.3% (95% CI: 7.5%, 70.1%) and CBR was 55.6% (95% CI: 21.2%, 86.3%). Median PFS in the advanced/recurrent patients was 23.2 (95% CI: 12.1, NR) months.

CONCLUSIONS

The nab-P/C D1, 8 regimen met pre-specified feasibility criteria with acceptable toxicity and efficacy. Use of nab-P decreases need for steroid pre-medications, and this carboplatin doublet may prove advantageous for trials assessing combinations with immune checkpoint inhibitors in advanced EC.

Deciphering Cathepsin K inhibitors: a combined QSAR, docking and MD simulation based machine learning approaches for drug design

Cathepsin K (CatK), a lysosomal cysteine protease, contributes to skeletal abnormalities, heart diseases, lung inflammation, and central nervous system and immune disorders. Currently, CatK inhibitors are associated with severe adverse effects, therefore limiting their clinical utility. This study focuses on exploring quantitative structure-activity relationships (QSAR) on a dataset of CatK inhibitors (1804) compiled from the ChEMBL database to predict the inhibitory activities. After data cleaning and pre-processing, a total of 1568 structures were selected for exploratory data analysis which revealed physicochemical properties, distributions and statistical significance between the two groups of inhibitors. PubChem fingerprinting with 11 different machine-learning classification models was computed. The comparative analysis showed the ET model performed well with accuracy values for the training set (0.999), cross-validation (0.970) and test set (0.977) in line with OECD guidelines. Moreover, to gain structural insights on the origin of CatK inhibition, 15 diverse molecules were selected for molecular docking. The CatK inhibitors (1 and 2) exhibited strong binding energies of -8.3 and -7.2 kcal/mol, respectively. MD simulation (300 ns) showed strong structural stability, flexibility and interactions in selected complexes. This synergy between QSAR, docking, MD simulation and machine learning models strengthen our evidence for developing novel and resilient CatK inhibitors.

The Otolaryngology Consultant Workforce in England: A Survey Update and Future Repercussions

INTRODUCTION

Effective medical staffing is pivotal for a successful healthcare system, demanding strategic planning to ensure a high-quality service. Although the UK's doctor to population ratio has improved over time, it remains below global averages. The COVID-19 pandemic has exacerbated existing challenges, resulting in an unprecedented NHS waiting list with Ear, Nose, and Throat (ENT) surgeries ranking third highest in waiting times amongst all specialties.

METHODS

This study utilized a national jotform survey to gather data from ENTUK members, primarily focusing on consultant staffing within ENT departments across the UK. Additional information collected encompassed registration status, part-time roles, gender, vacancies, locum roles, associate specialists, registrars and other junior doctors, and advanced nurse practitioners. When survey responses were inadequate, direct communication was established with departmental consultants or secretaries, followed by Freedom of Information requests as necessary. All data were compiled using Microsoft Excel.

RESULTS

Among the 65 responses to the ENTUK survey, 53 individual trusts were identified. These included 41 English acute trusts, with supplementary participation from Scotland, Wales, and Northern Ireland. Data from 749 consultants across 115 English acute trusts were collected in combination with a Freedom of Information request.

CONCLUSION

Despite an increased number of ENT consultants, the persistence of unfilled posts coincides with mounting waiting lists. The pandemic's effects, including early retirements and part-time roles, emphasise the urgency of expanding training positions to counterbalance these shifts. Local and national interventions are essential to fortify and diversify the ENT workforce through a variety of strategies.

Forensic intelligence in Australia and New Zealand: Status and future directions

Forensic science is underutilised. Operating models restricted to the support of court outcomes do not address core requirements of contemporary policing and public security, which are to disrupt criminal activity and prevent crime. Forensic intelligence (FORINT) is a principal means of enhancing the role of forensic science, emphasising proactivity and cross-case, cross-crime domain insights. To catalyse implementation, a FORINT Specialist Advisory Group (SAG) has been established under the Australia & New Zealand Policing Advisory Agency (ANZPAA) National Institute of Forensic Science (NIFS). The SAG has established a concept of operations with four lines of effort - namely, to (i) promote awareness and consistency, (ii) shape the workforce, (iii) develop information management frameworks and (iv) guide operational implementation. This aims to shift Australia & New Zealand from its present state (of substantial interagency variability) to a state of widespread, consistent and effective FORINT delivery in terms of: (a) culture, (b) information management, (c) education & training, and (d) organisation & operating environment. There are risks to implementing FORINT, in terms of privacy/confidentiality, bias/misinterpretation, and resource impost. However, these are not necessarily FORINT-specific, and solutions or mitigations exist. Moreover, these issues are outweighed by the risks of not implementing FORINT - such as a failure to reveal threats, missed opportunities, and poor resource efficiency. This paper is a call to arms. For policing and laboratories - now is the time to implement and entrench FORINT. For academia - now is the time to build foundations for this future. For supporting industries - now is the time to develop partnerships and facilitate delivery.

Measurement of multijet azimuthal correlations and determination of the strong coupling in proton-proton collisions at s = 13 Te V

A measurement is presented of a ratio observable that provides a measure of the azimuthal correlations among jets with large transverse momentum p T . This observable is measured in multijet events over the range ofp T = 360 - 3170 Ge V based on data collected by the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13Te V , corresponding to an integrated luminosity of 134fb - 1 . The results are compared with predictions from Monte Carlo parton-shower event generator simulations, as well as with fixed-order perturbative quantum chromodynamics (pQCD) predictions at next-to-leading-order (NLO) accuracy obtained with different parton distribution functions (PDFs) and corrected for nonperturbative and electroweak effects. Data and theory agree within uncertainties. From the comparison of the measured observable with the pQCD prediction obtained with the NNPDF3.1 NLO PDFs, the strong coupling at the Z boson mass scale isα S ( m Z ) = 0.1177 ± 0.0013 (exp) - 0.0073 + 0.0116 (theo) = 0 . 1177 - 0.0074 + 0.0117 , where the total uncertainty is dominated by the scale dependence of the fixed-order predictions. A test of the running of α S in theTe V region shows no deviation from the expected NLO pQCD behaviour.

Measurement of Energy Correlators inside Jets and Determination of the Strong Coupling α_{S}(m_{Z})

Energy correlators that describe energy-weighted distances between two or three particles in a hadronic jet are measured using an event sample of sqrt[s]=13  TeV proton-proton collisions collected by the CMS experiment and corresponding to an integrated luminosity of 36.3  fb^{-1}. The measured distributions are consistent with the trends in the simulation that reveal two key features of the strong interaction: confinement and asymptotic freedom. By comparing the ratio of the measured three- and two-particle energy correlator distributions with theoretical calculations that resum collinear emissions at approximate next-to-next-to-leading-logarithmic accuracy matched to a next-to-leading-order calculation, the strong coupling is determined at the Z boson mass: α_{S}(m_{Z})=0.1229_{-0.0050}^{+0.0040}, the most precise α_{S}(m_{Z}) value obtained using jet substructure observables.

Constraints on anomalous Higgs boson couplings from its production and decay using the WW channel in proton-proton collisions at s = 13 TeV

A study of the anomalous couplings of the Higgs boson to vector bosons, including CP -violation effects, has been conducted using its production and decay in the WW channel. This analysis is performed on proton-proton collision data collected with the CMS detector at the CERN LHC during 2016-2018 at a center-of-mass energy of 13 TeV, and corresponds to an integrated luminosity of 138fb - 1 . The different-flavor dilepton ( e μ ) final state is analyzed, with dedicated categories targeting gluon fusion, electroweak vector boson fusion, and associated production with a W or Z boson. Kinematic information from associated jets is combined using matrix element techniques to increase the sensitivity to anomalous effects at the production vertex. A simultaneous measurement of four Higgs boson couplings to electroweak vector bosons is performed in the framework of a standard model effective field theory. All measurements are consistent with the expectations for the standard model Higgs boson and constraints are set on the fractional contribution of the anomalous couplings to the Higgs boson production cross section.

Search for a Sub-eV Sterile Neutrino Using Daya Bay's Full Dataset

This Letter presents results of a search for the mixing of a sub-eV sterile neutrino with three active neutrinos based on the full data sample of the Daya Bay Reactor Neutrino Experiment, collected during 3158 days of detector operation, which contains 5.55×10^{6} reactor ν[over ¯]_{e} candidates identified as inverse beta-decay interactions followed by neutron capture on gadolinium. The analysis benefits from a doubling of the statistics of our previous result and from improvements of several important systematic uncertainties. No significant oscillation due to mixing of a sub-eV sterile neutrino with active neutrinos was found. Exclusion limits are set by both Feldman-Cousins and CLs methods. Light sterile neutrino mixing with sin^{2}2θ_{14}≳0.01 can be excluded at 95% confidence level in the region of 0.01  eV^{2}≲|Δm_{41}^{2}|≲0.1  eV^{2}. This result represents the world-leading constraints in the region of 2×10^{-4}  eV^{2}≲|Δm_{41}^{2}|≲0.2  eV^{2}.

Persistence of advanced systemic pharmacological treatment of moderate-to-severe psoriasis among bio-naïve patients-A retrospective register-based cohort study in Finland and Sweden

BACKGROUND

Plaque psoriasis (PsO) requires long-term treatment for symptom control and remission; thus, a long-term pharmacological intervention is necessary. Treatment persistence reflects long-term therapeutic effectiveness and tolerance.

OBJECTIVES

This study investigates drug persistence and compares treatment discontinuation rates across biologic agents and apremilast used by PsO patients in Finland and Sweden.

METHODS

This retrospective register-based cohort study included bio-naïve patients (≥18 years) with moderate-to-severe PsO, who initiated treatment with abatacept, adalimumab, brodalumab, certolizumab pegol, etanercept, golimumab, guselkumab, ixekizumab, risankizumab, secukinumab, tildrakizumab, ustekinumab or apremilast during 2008-2020 in Finland or Sweden. The main analysis evaluated persistence (based on duration of continuous treatment) and compared rates of treatment discontinuation using guselkumab as reference drug, during 2018-2020 in Finland. Treatment discontinuation was assessed by survival analysis of the time to first drug discontinuation, including switching to other study drugs. Due to limited sample size (n < 20), certain biologics (abatacept, brodalumab, certolizumab pegol, etanercept, golimumab, risankizumab and tildrakizumab) were excluded from the persistence analysis.

RESULTS

In Finland, 709 patients fulfilled the inclusion criteria during 2018-2020 for the main analysis. The highest persistence was observed for guselkumab and ustekinumab with 90 and 85% of treated patients, respectively, continuing treatment for ≥1 year. Comparable results were observed in the expanded cohort analysis (index starting in 2008; 2745 bio-naïve patients in Finland and 10,970 in Sweden). Furthermore, patients treated with guselkumab in Finland showed lower treatment discontinuation rates compared to other study drugs.

CONCLUSION

Guselkumab and ustekinumab demonstrated high persistence as measured by continued treatment for at least 1 year. Furthermore, these treatments demonstrated lower rates of discontinuation compared to other study drugs included in the analysis. Understanding the balance between efficacy and feasibility in treatment decisions is crucial, as feasibility may impact persistency outcomes and potentially increase persistency rates.

Five-year analysis of neoadjuvant dabrafenib and trametinib for stage III melanoma

BACKGROUND

Neoadjuvant dabrafenib plus trametinib has a high pathological response rate and impressive short-term survival in patients with resectable stage III melanoma. We report 5-year outcomes from the phase II NeoCombi trial.

PATIENTS AND METHODS

NeoCombi (NCT01972347) was a single-arm, open-label, single-centre, phase II trial. Eligible patients were adults (aged ≥18 years) with histologically confirmed, resectable, RECIST-measurable, American Joint Committee on Cancer seventh edition clinical stage IIIB-C BRAF V600E/K-mutant melanoma and Eastern Cooperative Oncology Group performance status ≤1. Patients received 52 weeks of treatment with dabrafenib 150 mg (orally twice per day) plus trametinib 2 mg (orally once per day), with complete resection of the pre-therapy tumour bed at week 12.

RESULTS

Between 20 August 2014 and 19 April 2017, 35 patients were enrolled. At data cut-off (17 August 2021), the median follow-up was 60 months [95% confidence interval (CI) 56-72 months]. Overall, 21 of 35 (60%) patients recurred, including 12 (57%) with first recurrence in locoregional sites (followed by later distant recurrence in 6) and 9 (43%) with first recurrence in distant sites, including 3 in the brain. Most recurrences occurred within 2 years, with no recurrences beyond 3 years. At 5 years, recurrence-free survival (RFS) was 40% (95% CI 27% to 60%), distant metastasis-free survival (DMFS) was 57% (95% CI 42% to 76%), and overall survival was 80% (95% CI 67% to 94%). Five-year survival outcomes were stratified by pathological response: RFS was 53% with pathological complete response (pCR) versus 28% with non-pCR (P = 0.087), DMFS was 59% versus 55% (P = 0.647), and overall survival was 88% versus 71% (P = 0.205), respectively.

CONCLUSIONS

Neoadjuvant dabrafenib plus trametinib has high pathological response rates in clinical stage III melanoma, but low rates of RFS, similar to those achieved with adjuvant targeted therapy alone. Patients with a pCR to dabrafenib plus trametinib still had a high risk of recurrence, unlike that seen with immunotherapy where recurrences are rare.

Efficacy of Eating Disorder Focused Family Therapy for Adolescents With Anorexia Nervosa: A Systematic Review and Meta-Analysis

OBJECTIVE

To systematically review and evaluate the efficacy of eating disorder focused family therapy (FT-ED) in comparison to all other forms of psychotherapy for children and adolescents with anorexia nervosa. A secondary aim is to assess the relative efficacy of different variations of FT-ED (e.g., shorter vs. longer dose, parent-focused).

METHODS

A search with relevant terms was systematically conducted on four databases. Twenty-three publications across 18 randomized controlled trials met inclusion criteria. Outcomes of interest included variables related to weight, eating psychopathology, and remission status. Study quality was assessed, and data were extracted by two independent researchers.

RESULTS

Adolescents receiving FT-ED gained significantly more weight by the end of treatment in comparison to those receiving individual psychotherapy. FT-ED that was delivered just to parents or to parents and child separately offered preferable weight outcomes and rates of recovery at the end of treatment in comparison to conjoint FT-ED. No other outcomes tested in the meta-analysis were statistically significant at the end of treatment or follow-up.

DISCUSSION

Currently available data suggest the use of FT-ED in its conjoint or separated/parent focused format is the best outpatient treatment option for adolescents with anorexia nervosa when immediate weight gain is paramount. The variability of outcome measurement, including the tools used and timepoints chosen, limit comparison among no more than a handful of studies. The field would benefit from the standardization of measurement and reporting guidelines for future clinical trials.

TRIAL REGISTRATION

PROSPERO number: CRD42023396263.

Search for Z Z and Z H production in the b b ¯ b b ¯ final state using proton-proton collisions at s = 13 Te V

A search forZ Z andZ H production in theb b ¯ b b ¯ final state is presented, where H is the standard model (SM) Higgs boson. The search uses an event sample of proton-proton collisions corresponding to an integrated luminosity of 133fb - 1 collected at a center-of-mass energy of 13Te V with the CMS detector at the CERN LHC. The analysis introduces several novel techniques for deriving and validating a multi-dimensional background model based on control samples in data. A multiclass multivariate classifier customized for theb b ¯ b b ¯ final state is developed to derive the background model and extract the signal. The data are found to be consistent, within uncertainties, with the SM predictions. The observed (expected) upper limits at 95% confidence level are found to be 3.8 (3.8) and 5.0 (2.9) times the SM prediction for theZ Z andZ H production cross sections, respectively.

Observation of the ϒ(3S) Meson and Suppression of ϒ States in Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV

The production of ϒ(2S) and ϒ(3S) mesons in lead-lead (Pb-Pb) and proton-proton (pp) collisions is studied in their dimuon decay channel using the CMS detector at the LHC. The ϒ(3S) meson is observed for the first time in Pb-Pb collisions, with a significance above 5 standard deviations. The ratios of yields measured in Pb-Pb and pp collisions are reported for both the ϒ(2S) and ϒ(3S) mesons, as functions of transverse momentum and Pb-Pb collision centrality. These ratios, when appropriately scaled, are significantly less than unity, indicating a suppression of ϒ yields in Pb-Pb collisions. This suppression increases from peripheral to central Pb-Pb collisions. Furthermore, the suppression is stronger for ϒ(3S) mesons compared to ϒ(2S) mesons, extending the pattern of sequential suppression of quarkonium states in nuclear collisions previously seen for the J/ψ, ψ(2S), ϒ(1S), and ϒ(2S) mesons.

Search for Narrow Trijet Resonances in Proton-Proton Collisions at sqrt[s]=13 TeV

The first search for singly produced narrow resonances decaying to three well-separated hadronic jets is presented. The search uses proton-proton collision data corresponding to an integrated luminosity of 138  fb^{-1} at sqrt[s]=13  TeV, collected at the CERN LHC. No significant deviations from the background predictions are observed between 1.75 and 9.00 TeV. The results provide the first mass limits on a right-handed boson Z_{R} decaying to three gluons and on an excited quark decaying via a vector boson to three quarks, as well as updated limits on a Kaluza-Klein gluon decaying via a radion to three gluons.

Search for Baryon Number Violation in Top Quark Production and Decay Using Proton-Proton Collisions at sqrt[s]=13 TeV

A search is presented for baryon number violating interactions in top quark production and decay. The analysis uses data from proton-proton collisions at a center-of-mass energy of 13 TeV, collected with the CMS detector at the LHC with an integrated luminosity of 138  fb^{-1}. Candidate events are selected by requiring two oppositely charged leptons (electrons or muons) and exactly one jet identified as originating from a bottom quark. Multivariate discriminants are used to separate the signal from the background. No significant deviation from the standard model prediction is observed. Upper limits are placed on the strength of baryon number violating couplings. For the first time the production of single top quarks via baryon number violating interactions is studied. This allows the search to set the most stringent constraints to date on the branching fraction of the top quark decay to a lepton, an up-type quark (u or c), and a down-type quark (d, s, or b). The results improve the previous bounds by 3 to 6 orders of magnitude based on the fermion flavor combination of the baryon number violating interactions.

RETROSPECTIVE STUDY OF MORBIDITY AND MORTALITY IN A CAPTIVE POPULATION OF CRYPTOSPORIDIUM-POSITIVE LOUISIANA PINE SNAKES (PITUOPHIS RUTHVENI)

The Louisiana pine snake (Pituophis ruthveni) is a diurnal colubrid species native to Louisiana and eastern Texas whose free-ranging populations have been declining over at least the past 30 yr. The creation and maintenance of sustainable captive breeding programs of P. ruthveni to restore native populations has also provided ample opportunity for research into this species and for P. ruthveni to serve as a research model for other colubrid snakes. However, no investigation into prevalent causes of morbidity and mortality in captive populations of this species has been described. A research population of P. ruthveni was maintained at Louisiana State University (LSU) for over 4 yr due to unsuitability for breeding after testing positive for Cryptosporidium serpentis. Since arrival at LSU, the snakes were under close veterinary surveillance. Complete postmortem examinations were performed on 12 snakes that died or were euthanized. The aim of this study was to further understanding of common factors influencing morbidity and mortality in captive P. ruthveni infected with C. serpentis, by retrospectively reviewing postmortem exam findings from the 12 deceased members of the population at LSU. A predominant finding across individuals included bacterial infections, which were responsible for major illness or death in 37.5% of the animals. Fifty percent of snakes tested positive for Cryptosporidium sp. based on PCR performed from postmortem samples; it was directly implicated as cause of death or morbidity in 83.3% of positive cases. Although infectious disease represented the most common pathologic postmortem finding, several noninfectious disease processes were identified, including gout, goiter, and neoplasia. These findings mirror those of other retrospective investigations of reptile collections at various institutions and highlight the need for appropriate emphasis on the identification, treatment, and prevention of infectious disease as part of routine veterinary care.