Electro-optic time profile monitors for femtosecond electron bunches at the soft x-ray free-electron laser FLASH

Precise measurements of the temporal profile of ultrashort electron bunches are of high interest for the optimization and operation of ultraviolet and x-ray free-electron lasers. The electro-optic (EO) technique has been applied for a single-shot direct visualization of the time profile of individual electron bunches at FLASH. This paper presents a thorough description of the experimental setup and the results. An absolute calibration of the EO technique has been performed utilizing simultaneous measurements with a transverse-deflecting radio-frequency structure that transforms the longitudinal bunch charge distribution into a transverse streak. EO signals as short as 60 fs (rms) have been observed using a gallium-phosphide (GaP) crystal, which is a new record in the EO detection of single electron bunches and close to the physical limit imposed by the EO material properties. The data are in quantitative agreement with a numerical simulation of the EO detection process

Multi-horizon air pollution forecasting with deep neural networks

Air pollution is a global problem, especially in urban areas where the population density is very high due to the diverse pollutant sources such as vehicles, industrial plants, buildings, and waste. North Macedonia, as a developing country, has a serious problem with air pollution. The problem is highly present in its capital city, Skopje, where air pollution places it consistently within the top 10 cities in the world during the winter months. In this work, we propose using Recurrent Neural Network (RNN) models with long short-term memory units to predict the level of PM10 particles at 6, 12, and 24 h in the future. We employ historical air quality measurement data from sensors placed at multiple locations in Skopje and meteorological conditions such as temperature and humidity. We compare different deep learning models’ performance to an Auto-regressive Integrated Moving Average (ARIMA) model. The obtained results show that the proposed models consistently outperform the baseline model and can be successfully employed for air pollution prediction. Ultimately, we demonstrate that these models can help decision-makers and local authorities better manage the air pollution consequences by taking proactive measures

Određivanje količine masti u slatkom vrhnju

Kontrola količine masti u slatkom vrhnju značajna je s tehnološkog stajališta za mljekarska poduzeća, a s kontrolnog, u odnosu mljekara-potrošač-inspekcija. U nastojanjima za primjenom jedinstvenih rutinskih analitičkih metoda u našoj praksi, poduzeli smo istraživanje butirometrijskih metoda određivanja mliječne masti u slatkom vrhnju. Iznijeti podaci mogu poslužiti kao osnova za razmatranje

Применение уравнений Френеля в статистическом анализе эллипсометрических данных - определение оптических показателей анодно полученных плёнок из TiO2

Оптические показатели TI02 плёнок , определены эллилсометрически при стандартных ех-ситовых условиях в видимой спектральной области. Плёнки , изготовленные из Ti02, получены анодным окислением электрополирован:ной титановой поверхности в области потенциала от О до 100 V. Путём вычисления:, с помощью измеренных эллипсометрических параметров L1 и Р и Френеловых уравнений, показано , что численное значение оптических показателей уменьшае11ся: с изменением т олщины плёнки, и что у тол·стых плёнок они получают постоянные значения:. Исползован и ем различных спос обо в выч исления: пок.азано, каким образом можно получить наиболее точные рез у ль таты, т. е. самая: маленькая: погрешность при статистической обработке эллипсометрических д анных

Применение уравнений Френеля в статистическом анализе эллипсометрических данных - определение оптических показателей анодно полученных плёнок из TiO2

Оптические показатели TI02 плёнок , определены эллилсометрически при стандартных ех-ситовых условиях в видимой спектральной области. Плёнки , изготовленные из Ti02, получены анодным окислением электрополирован:ной титановой поверхности в области потенциала от О до 100 V. Путём вычисления:, с помощью измеренных эллипсометрических параметров L1 и Р и Френеловых уравнений, показано , что численное значение оптических показателей уменьшае11ся: с изменением т олщины плёнки, и что у тол·стых плёнок они получают постоянные значения:. Исползован и ем различных спос обо в выч исления: пок.азано, каким образом можно получить наиболее точные рез у ль таты, т. е. самая: маленькая: погрешность при статистической обработке эллипсометрических д анных

Value of T2 Mapping MRI for Prostate Cancer Detection and Classification.

Currently, multi-parametric prostate MRI (mpMRI) consists of a qualitative T <sub>2</sub> , diffusion weighted, and dynamic contrast enhanced imaging. Quantification of T <sub>2</sub> imaging might further standardize PCa detection and support artificial intelligence solutions. To evaluate the value of T <sub>2</sub> mapping to detect prostate cancer (PCa) and to differentiate PCa aggressiveness. Retrospective single center cohort study. Forty-four consecutive patients (mean age 67 years; median PSA 7.9 ng/mL) with mpMRI and verified PCa by subsequent targeted plus systematic MR/ultrasound (US)-fusion biopsy from February 2019 to December 2019. Standardized mpMRI at 3 T with an additionally acquired T <sub>2</sub> mapping sequence. Primary endpoint was the analysis of quantitative T <sub>2</sub> values and contrast differences/ratios (CD/CR) between PCa and benign tissue. Secondary objectives were the correlation between T <sub>2</sub> values, ISUP grade, apparent diffusion coefficient (ADC) value, and PI-RADS, and the evaluation of thresholds for differentiating PCa and clinically significant PCa (csPCa). Mann-Whitney test, Spearman's rank (r <sub>s</sub> ) correlation, receiver operating curves, Youden's index (J), and AUC were performed. Statistical significance was defined as P < 0.05. Median quantitative T <sub>2</sub> values were significantly lower for PCa in PZ (85 msec) and PCa in TZ (75 msec) compared to benign PZ (141 msec) or TZ (97 msec) (P < 0.001). CD/CR between PCa and benign PZ (51.2/1.77), respectively TZ (19.8/1.29), differed significantly (P < 0.001). The best T <sub>2</sub> -mapping threshold for PCa/csPCa detection was for TZ 81/86 msec (J = 0.929/1.0), and for PZ 110 msec (J = 0.834/0.905). Quantitative T <sub>2</sub> values of PCa did not correlate significantly with the ISUP grade (r <sub>s</sub> = 0.186; P = 0.226), ADC value (r <sub>s</sub> = 0.138; P = 0.372), or PI-RADS (r <sub>s</sub> = 0.132; P = 0.392). Quantitative T <sub>2</sub> values could differentiate PCa in TZ and PZ and might support standardization of mpMRI of the prostate. Different thresholds seem to apply for PZ and TZ lesions. However, in the present study quantitative T <sub>2</sub> values were not able to indicate PCa aggressiveness. 2 TECHNICAL EFFICACY: Stage 2

First results from the CERN Axion Solar Telescope (CAST)

Hypothetical axion-like particles with a two-photon interaction would be produced in the Sun by the Primakoff process. In a laboratory magnetic field (``axion helioscope'') they would be transformed into X-rays with energies of a few keV. Using a decommissioned LHC test magnet, CAST has been running for about 6 months during 2003. The first results from the analysis of these data are presented here. No signal above background was observed, implying an upper limit to the axion-photon coupling < 1.16 10^{-10} GeV^-1 at 95% CL for m_a <~0.02 eV. This limit is comparable to the limit from stellar energy-loss arguments and considerably more restrictive than any previous experiment in this axion mass range.Comment: 4 pages, accepted by PRL. Final version after the referees comment

Multilocus genotyping reveals new molecular markers for differentiating distinct genetic lineages among “candidatus phytoplasma solani” strains associated with grapevine bois noir

Grapevine Bois noir (BN) is associated with infection by “Candidatus Phytoplasma solani” (CaPsol). In this study, an array of CaPsol strains was identified from 142 symptomatic grapevines in vineyards of northern, central, and southern Italy and North Macedonia. Molecular typing of the CaPsol strains was carried out by analysis of genes encoding 16S rRNA and translation elongation factor EF-Tu, as well as eight other previously uncharacterized genomic fragments. Strains of tuf-type a and b were found to be differentially distributed in the examined geographic regions in correlation with the prevalence of nettle and bindweed. Two sequence variants were identified in each of the four genomic segments harboring hlyC, cbiQ-glyA, trxA-truB-rsuA, and rplS-tyrS-csdB, respectively. Fifteen CaPsol lineages were identified based on distinct combinations of sequence variations within these genetic loci. Each CaPsol lineage exhibited a unique collective restriction fragment length polymorphism (RFLP) pattern and differed from each other in geographic distribution, probably in relation to the diverse ecological complexity of vineyards and their surroundings. This RFLP-based typing method could be a useful tool for investigating the ecology of CaPsol and the epidemiology of its associated diseases. Phylogenetic analyses highlighted that the sequence variants of the gene hlyC, which encodes a hemolysin III-like protein, separated into two clusters consistent with the separation of two distinct lineages on the basis of tufB gene sequences. Alignments of deduced full protein sequences of elongation factor-Tu (tufB gene) and hemolysin III-like protein (hlyC gene) revealed the presence of critical amino acid substitutions distinguishing CaPsol strains of tuf-type a and b. Findings from the present study provide new insights into the genetic diversity and ecology of CaPsol populations in vineyards

Disruption of the Autophagy-Lysosome Pathway Is Involved in Neuropathology of the nclf Mouse Model of Neuronal Ceroid Lipofuscinosis

Variant late-infantile neuronal ceroid lipofuscinosis, a fatal lysosomal storage disorder accompanied by regional atrophy and pronounced neuron loss in the brain, is caused by mutations in the CLN6 gene. CLN6 is a non-glycosylated endoplasmic reticulum (ER)-resident membrane protein of unknown function. To investigate mechanisms contributing to neurodegeneration in CLN6 disease we examined the nclf mouse, a naturally occurring model of the human CLN6 disease. Prominent autofluorescent and electron-dense lysosomal storage material was found in cerebellar Purkinje cells, thalamus, hippocampus, olfactory bulb and in cortical layer II to V. Another prominent early feature of nclf pathogenesis was the localized astrocytosis that was evident in many brain regions and the more widespread microgliosis. Expression analysis of mutant Cln6 found in nclf mice demonstrated synthesis of a truncated protein with a reduced half-life. Whereas the rapid degradation of the mutant Cln6 protein can be inhibited by proteasomal inhibitors, there was no evidence for ER stress or activation of the unfolded protein response in various brain areas during postnatal development. Age-dependent increases in LC3-II, ubiquitinated proteins, and neuronal p62-positive aggregates were observed, indicating a disruption of the autophagy-lysosome degradation pathway of proteins in brains of nclf mice, most likely due to defective fusion between autophagosomes and lysosomes. These data suggest that proteasomal degradation of mutant Cln6 is sufficient to prevent the accumulation of misfolded Cln6 protein, whereas lysosomal dysfunction impairs constitutive autophagy promoting neurodegeneration