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Abstract X-ray free-electron lasers are sources of coherent, high-intensity X-rays with numerous applications in ultra-fast measurements and dynamic structural imaging. Due to the stochastic nature of the self-amplified spontaneous emission process and the difficulty in controlling injection of electrons, output pulses exhibit significant noise and limited temporal coherence. Standard measurement techniques used for characterizing two-coloured X-ray pulses are challenging, as they are either invasive or diagnostically expensive. In this work, we employ machine learning methods such as neural networks and decision trees to predict the central photon energies of pairs of attosecond fundamental and second harmonic pulses using parameters that are easily recorded at the high-repetition rate of a single shot. Using real experimental data, we apply a detailed feature analysis on the input parameters while optimizing the training time of the machine learning methods. Our predictive models are able to make predictions of central photon energy for one of the pulses without measuring the other pulse, thereby leveraging the use of the spectrometer without having to extend its detection window. We anticipate applications in X-ray spectroscopy using XFELs, such as in time-resolved X-ray absorption and photoemission spectroscopy, where improved measurement of input spectra will lead to better experimental outcomes.

Abstract Structural imaging of transient excited-state species is a key goal of molecular physics, promising to unveil rich information about the dynamics underpinning photochemical transformations. However, separating the electronic and nuclear contributions to the spectroscopic observables is challenging, and typically requires the application of high-level theory. Here, we employ site-selective ionisation via ultrashort soft X-ray pulses and time-resolved Coulomb explosion imaging to interrogate structural dynamics of the ultraviolet photochemistry of carbon disulfide. This prototypical system exhibits the complex motifs of polyatomic photochemistry, including strong non-adiabatic couplings, vibrational mode couplings, and intersystem crossing. Immediately following photoexcitation, we observe Coulomb explosion signatures of highly bent and stretched excited-state geometries involved in the photodissociation. Aided by a model to interpret such changes, we build a comprehensive picture of the photoinduced nuclear dynamics that follows initial bending and stretching motions, as the reaction proceeds towards photodissociation.

The newly constructed time-resolved atomic, molecular and optical science instrument (TMO) is configured to take full advantage of both linear accelerators at SLAC National Accelerator Laboratory, the copper accelerator operating at a repetition rate of 120 Hz providing high per-pulse energy as well as the superconducting accelerator operating at a repetition rate of about 1 MHz providing high average intensity. Both accelerators power a soft X-ray free-electron laser with the new variable-gap undulator section. With this flexible light source, TMO supports many experimental techniques not previously available at LCLS and will have two X-ray beam focus spots in line. Thereby, TMO supports atomic, molecular and optical, strong-field and nonlinear science and will also host a designated new dynamic reaction microscope with a sub-micrometer X-ray focus spot. The flexible instrument design is optimized for studying ultrafast electronic and molecular phenomena and can take full advantage of the sub-femtosecond soft X-ray pulse generation program.

X-ray free-electron lasers (XFELs) are now able to provide tunable pairs of intense sub-fs pulses in the soft x-ray regime, paving the way for time-resolved investigations of attosecond charge migration in molecules. However, the stochastic shot-to-shot variation of the XFEL pulses may degrade and eventually hide the observable features. We show by means of state-of-the-art calculations that the damping of the charge migration induced by 260 eV pulses in p-aminophenol due to the shot-to-shot variation of pulses generated at the Linac Coherent Light Source is negligible in comparison to the natural damping due to the intrinsic fluctuation of the initial molecular geometry. This result gives us confidence in the utility of XFEL sub-fs pulses for the measurement of charge migration and other ultrafast charge dynamics.

Community-associated methicillin-resistant Staphylococcus aureus (CA-MRSA) infections are increasingly documented worldwide. We recently identified two major CA-MRSA clones in Israel: USA300 and t991. Here, we assessed clinical outcomes by CA-MRSA clones and the physicians' treatment approach to CA-MRSA infections. All community-onset, clinical MRSA isolates detected during 2011-2013 by Maccabi Healthcare Services were collected and characterized phenotypically and genotypically; data were collected retrospectively from electronic medical records. Of 309 patients with MRSA infections, 64 were identified as CA-MRSA (21 %). Of the CA-MRSA infections, 72 % had skin and soft tissue infections (SSTIs), 38 % were Panton-Valentine leukocidin (PVL)+, the major clone being USA300 ( n = 13, 54 %). Of PVL− isolates ( n = 40, 62 %), t991 was the major clone. Age was the only predictor for PVL+ CA-MRSA infection ( p < 0.001). Patients with PVL+ CA-MRSA had higher incidence of SSTI recurrences (1.061 vs. 0.647 events per patient/per year, p < 0.0001) and were more likely to have the SSTI drained (64 % vs. 21 %, p = 0.003) when compared to PVL− CA-MRSA. USA300 was more common among adults, while t991 was more common among children ( p = 0.002). The physician's referral to culture results and susceptibility were the only predictors of appropriate antibiotic therapy ( p < 0.001). However, only a minority of physicians referred to culture results, regardless of subspecialties. PVL+ CA-MRSA isolates caused significantly more recurrences of SSTIs and increased the need for drainage compared with PVL− isolates. Physicians' awareness of CA-MRSA as a cause of SSTIs in the community was suboptimal. Culturing of pus-producing SSTIs is crucial for providing adequate antimicrobials and elucidating MRSA epidemiology. [ABSTRACT FROM AUTHOR]

We present an approach that combines photon spectrum correlation analysis with the reconstruction of three-dimensional momentum distribution from velocity map images in an efficient, single-step procedure. We demonstrate its efficacy with the results from the photoionization of the 2 p -shell of argon using the Free-electron LASer in Hamburg free-electron laser (FEL). Distinct spectral features due to the spin-orbit splitting of Ar $^+(2p^{-1})$ are resolved, despite the large average bandwidth of the ionizing pulses from the FEL. This demonstrates a clear advantage over the conventional analysis method, and it will be broadly beneficial for velocity map imaging experiments with FEL sources. The retrieved linewidth of the binding energy spectrum approaches the resolution limitation prescribed by the spectrometers used to collect the data. Our approach presents a path to extend spectral-domain ghost imaging to the case where the photoproduct observable is high-dimensional.

The rate of successful identification of peptide sequences by tandem mass spectrometry (MS/MS) is adversely affected by the common occurrence of co-isolation and co-fragmentation of two or more isobaric or isomeric parent ions. This results in so-called `chimera spectra’, which feature peaks of the fragment ions from more than a single precursor ion. The totality of the fragment ion peaks in chimera spectra cannot be assigned to a single peptide sequence, which contradicts a fundamental assumption of the standard automated MS/MS spectra analysis tools, such as protein database search engines. This calls for a diagnostic method able to identify chimera spectra to single out the cases where this assumption is not valid. Here, we demonstrate that, within the recently developed two-dimensional partial covariance mass spectrometry (2D-PC-MS), it is possible to reliably identify chimera spectra directly from the two-dimensional fragment ion spectrum, irrespective of whether the co-isolated peptide ions are isobaric up to a finite mass accuracy or isomeric. We introduce ‘3-57 chimera tag’ technique for chimera spectrum diagnostics based on 2D-PC-MS and perform numerical simulations to examine its efficiency. We experimentally demonstrate the detection of a mixture of two isomeric parent ions, even under conditions when one isomeric peptide is at one five-hundredth of the molar concentration of the second isomer.

Covariance mapping [L. J. Frasinski, K. Codling, and P. A. Hatherly, Science 246, 1029 (1989)SCIEAS0036-807510.1126/science.246.4933.1029] is a well-established technique used for the study of mechanisms of laser-induced molecular ionization and decomposition. It measures statistical correlations between fluctuating signals of pairs of detected species (ions, fragments, electrons). A positive correlation identifies pairs of products originating from the same dissociation or ionization event. A major challenge for covariance-mapping spectroscopy is accessing decompositions of large polyatomic molecules, where true physical correlations are overwhelmed by spurious signals of no physical significance induced by fluctuations in experimental parameters. As a result, successful applications of covariance mapping have so far been restricted to low-mass systems, e.g., organic molecules of around 50 daltons (Da). Partial-covariance mapping was suggested to tackle the problem of spurious correlations by taking into account the independently measured fluctuations in the experimental conditions. However, its potential has never been realized for the decomposition of large molecules, because in these complex situations, determining and continuously monitoring multiple experimental parameters affecting all the measured signals simultaneously becomes unfeasible. We introduce, through deriving theoretically and confirming experimentally, a conceptually new type of partial-covariance mapping—self-correcting partial-covariance spectroscopy—based on a parameter extracted from the measured spectrum itself. We use the readily available total ion count as the self-correcting partial-covariance parameter, thus eliminating the challenge of determining experimental parameter fluctuations in covariance measurements of large complex systems. The introduced self-correcting partial covariance enables us to successfully resolve correlations of molecules as large as 10^{3}–10^{4} Da, 2 orders of magnitude above the state of the art. This opens new opportunities for mechanistic studies of large molecule decompositions through revealing their fragment-fragment correlations. Moreover, we demonstrate that self-correcting partial covariance is applicable to solving the inverse problem: reconstruction of a molecular structure from its fragment spectrum, within two-dimensional partial-covariance mass spectrometry.

Background: The role of podoplanin (PDPN) and homebox prospero gene 1 (PROX1) in early stages of pancreatic islet changes induced by hypercaloric diet is unclear. The aim of this study was to study PDPN and PROX1 variability in pancreatic islets after a hypercaloric diet in a rat experimental model., Materials and Methods: Pancreatic biopsies harvested from Sprague-Dawley rats at 3, 6, and 9 weeks following hypercaloric diet intake were evaluated for morphological and molecular changes of Langerhans islets based on PDPN and PROX1 expression Results: Six weeks of hypercaloric diet induced hypertrophy of pancreatic islets with focal expression of Pdpn and Prox1 mRNA. At 9 weeks of hypercaloric diet, strong peri-insular inflammation was found around hypertrophic islets highly expressing PDPN, and lacking Prox1 mRNA and protein expression., Conclusion: This is the first report of Pdpn and Prox1 mRNA expression variability and involvement in early steps of pancreatic islet changes following hypercaloric food intake., (Copyright© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)

The goal of this study was to compare the molecular features of bovine- and human community-acquired extended-spectrum β-lactamase (ESBL)-producing Escherichia coli in Israel. Bovine ESBL-producing E. coli were isolated during a point-prevalence study from the main farming locations throughout Israel. Human ESBL-producing E. coli isolates were collected from community-acquired urinary tract infection cases. Molecular typing was done initially by repetitive extragenic palindromic-PCR. Representative isolates were subjected to next-generation sequencing (NGS) and analyzed for multilocus sequence typing (MLST), core genome MLST (cgMLST), bla CTX-M gene allele, and mobile genetic elements (MGEs) surrounding it. Out of the 287 bovine- and 104 community-derived ESBL-producing E. coli isolates, 44 and 26 isolates were subjected to NGS, respectively. Both populations exhibited a diverse but distinct clonal structure with predominance of several sequence types (STs); two clones, ST-10/167 (n = 13) and ST-38 (n = 8), were present. cgMLST analysis of these clones revealed that the majority of isolates exhibited phylogenetic distance (PD) of >178 gene difference from their closest isolate, with the exception of five isolates that exhibited PD of <24 gene difference, including two bovine- to three community-derived isolates. Hence, clonal transmission of ESBL-producing E. coli between cattle and the community, although uncommon, is likely to have occurred. The bla CTX-M-15 gene was identified in 52/70 (74%) isolates from both cattle and the community and was surrounded by MGEs that were composed mostly of either the Tn3 or IS1380 families. Thus, MGEs are likely to play an important role in the exchange of resistance genes.

The objective of this study was to examine the recent trends in the epidemiology of campylobacteriosis in Israel. A Sentinel Laboratory-Based Surveillance Network for Bacterial Enteric Diseases was established in Israel by the Israel Center for Disease Control (ICDC). This network generated data on subjects from whom Campylobacter spp. was isolated in community and hospital laboratories. Further characterization of the isolates was done at the Campylobacter National Reference Laboratory. Data from these two sources were integrated and analyzed at the ICDC. Between 1999 and 2012, 40,978 Campylobacter stool isolates were reported to the ICDC by the sentinel laboratories. The incidence rate of campylobacteriosis increased from 65.7 per 100,000 in 1999 to 101.7 per 100,000 in 2012. This increase resulted from a significant rise in the incidence of campylobacteriosis in the Jewish population which, since 2009, surpassed the consistent higher incidence of the disease in Israeli Arabs. The peak morbidity in Israel consistently occurred in late spring, with a risk excess in males compared with females, in younger age groups and earlier in the life span among Arabs than among Jews and others. These results suggest that further analytical studies should be carried out to identify risk factors responsible for the increased incidence of campylobacteriosis and better direct prevention and control of the disease in Israel.

Objectives: To enhance timely surveillance of bacterial enteric pathogens, space-time cluster analysis was introduced in Israel in May 2013., Methods: Stool isolation data of Salmonella, Shigella, and Campylobacter from patients of a large Health Maintenance Organization were analyzed weekly by ArcGIS and SaTScan, and cluster results were sent promptly to local departments of health (LDOHs)., Results: During eighteen months, we identified 52 Shigella sonnei clusters, two Salmonella clusters, and no Campylobacter clusters. S. sonnei clusters lasted from one to 33 days and included three to 30 individuals. Thirty-one (60%) of the S. sonnei clusters were known to LDOHs prior to cluster analysis. Clusters not previously known by the LDOHs prompted epidemiologic investigations. In 31 of the 37 (84%) confirmed clusters, educational institutes (nursery schools, kindergartens, and a primary school) were involved., Conclusions: Cluster analysis demonstrated capability to complement enteric disease surveillance. Scaling up the system can further enhance timely detection and control of outbreaks., (Copyright © 2016 The British Infection Association. Published by Elsevier Ltd. All rights reserved.)

Epidemiological data on community acquired methicillin-resistant-Staphylococcus aureus (CA-MRSA) carriage and infection in the Middle-East region is scarce with only few reports in the Israeli and Palestinian populations. As part of a Palestinian-Israeli collaborative research, we have conducted a cross-sectional survey of nasal S. aureus carriage in healthy children and their parents throughout the Gaza strip. Isolates were characterized for antibiotic susceptibility, mec gene presence, PFGE, spa type, SCCmec-type, presence of PVL genes and multi-locus-sequence-type (MLST). S. aureus was carried by 28.4% of the 379 screened children-parents pairs. MRSA was detected in 45% of S. aureus isolates, that is, in 12% of the study population. A single ST22-MRSA-IVa, spa t223, PVL-gene negative strain was detected in 64% of MRSA isolates. This strain is typically susceptible to all non-β-lactam antibiotics tested. The only predictor for MRSA carriage in children was having an MRSA carrier-parent (OR=25.5, P=0.0004). Carriage of the Gaza strain was not associated with prior hospitalization. The Gaza strain was closely related genetically to a local MSSA spa t223 strain and less so to EMRSA15, one of the pandemic hospital-acquired-MRSA clones, scarcely reported in the community. The rapid spread in the community may be due to population determinants or due to yet unknown advantageous features of this particular strain.

Setting: A novel patient-centered tuberculosis (TB) treatment delivery program, 'Sputnik', was introduced for patients at high risk of treatment default in Tomsk City, Russian Federation., Objective: To assess the effects of the Sputnik intervention on patient default rates., Design: We analyzed the characteristics of patients referred to the program, treatment adherence of Sputnik program enrollees before and during the intervention, and final outcomes for all patients referred to the Sputnik program., Results: For patients continuing their existing regimens after referral to the program (n = 46), mean adherence to treatment increased by 56% (from 52% of prescribed doses prior to enrolment to 81%). For patients initiating new regimens after referral ( n = 5), mean adherence was 83%. Mean adherence for patients with multidrug-resistant TB (MDR-TB; n = 38) was 79% and for all others (n = 13) it was 89%. The cure rate was 71.1% for patients with MDR-TB, 60% for all others and 68% in the program overall., Conclusion: The Sputnik intervention was successful in reducing rates of treatment default among patients at high risk for non-adherence.