Refine
Year of publication
- 2022 (2405) (remove)
Document Type
- Article (1557)
- Doctoral Thesis (252)
- Postprint (163)
- Part of a Book (145)
- Monograph/Edited Volume (92)
- Review (49)
- Working Paper (30)
- Other (26)
- Part of Periodical (20)
- Conference Proceeding (18)
Language
- English (1690)
- German (683)
- Hebrew (10)
- French (9)
- Spanish (7)
- Italian (3)
- Multiple languages (2)
- Portuguese (1)
Keywords
- climate change (20)
- COVID-19 (16)
- machine learning (16)
- Germany (12)
- exercise (11)
- obesity (11)
- diffusion (10)
- gender (10)
- adolescents (9)
- depression (9)
Institute
- Institut für Biochemie und Biologie (263)
- Institut für Physik und Astronomie (259)
- Extern (201)
- Institut für Geowissenschaften (174)
- Historisches Institut (115)
- Institut für Chemie (103)
- Bürgerliches Recht (102)
- Fachgruppe Politik- & Verwaltungswissenschaft (96)
- Öffentliches Recht (90)
- Institut für Umweltwissenschaften und Geographie (89)
- Fachgruppe Betriebswirtschaftslehre (78)
- Strukturbereich Kognitionswissenschaften (71)
- Department Sport- und Gesundheitswissenschaften (69)
- Wirtschaftswissenschaften (60)
- Hasso-Plattner-Institut für Digital Engineering GmbH (59)
- Fachgruppe Volkswirtschaftslehre (54)
- Department Psychologie (53)
- Institut für Ernährungswissenschaft (52)
- Department Erziehungswissenschaft (51)
- Institut für Romanistik (50)
- Department Linguistik (49)
- Fachgruppe Soziologie (41)
- Institut für Mathematik (38)
- Strafrecht (36)
- Institut für Germanistik (34)
- Fakultät für Gesundheitswissenschaften (33)
- Sozialwissenschaften (30)
- Institut für Jüdische Studien und Religionswissenschaft (25)
- Institut für Jüdische Theologie (25)
- Hasso-Plattner-Institut für Digital Engineering gGmbH (23)
- Institut für Informatik und Computational Science (21)
- Center for Economic Policy Analysis (CEPA) (20)
- Institut für Anglistik und Amerikanistik (19)
- MenschenRechtsZentrum (19)
- Wirtschafts- und Sozialwissenschaftliche Fakultät (18)
- Department Grundschulpädagogik (17)
- Zentrum für Lehrerbildung und Bildungsforschung (ZeLB) (16)
- Institut für Philosophie (15)
- WeltTrends e.V. Potsdam (15)
- Strukturbereich Bildungswissenschaften (13)
- dbs Deutscher Bundesverband für akademische Sprachtherapie und Logopädie e.V. (13)
- Institut für Künste und Medien (12)
- Department für Inklusionspädagogik (11)
- Philosophische Fakultät (10)
- Department Musik und Kunst (8)
- Referat für Presse- und Öffentlichkeitsarbeit (7)
- Lehreinheit für Wirtschafts-Arbeit-Technik (6)
- Humanwissenschaftliche Fakultät (5)
- Institut für Slavistik (5)
- Moses Mendelssohn Zentrum für europäisch-jüdische Studien e. V. (5)
- Deutsches MEGA-Konsortialbüro an der Universität Potsdam (4)
- Digital Engineering Fakultät (4)
- Klassische Philologie (4)
- Universitätsbibliothek (4)
- Juristische Fakultät (3)
- Mathematisch-Naturwissenschaftliche Fakultät (3)
- Psycholinguistics and Neurolinguistics (3)
- Theodor-Fontane-Archiv (3)
- Gesundheitsmanagement (2)
- Hochschulambulanz (1)
- Institut für Lebensgestaltung-Ethik-Religionskunde (1)
- Interdisziplinäres Zentrum für Kognitive Studien (1)
- Kommunalwissenschaftliches Institut (1)
- Potsdam Institute for Climate Impact Research (PIK) e. V. (1)
- Potsdam Transfer - Zentrum für Gründung, Innovation, Wissens- und Technologietransfer (1)
- Projekte (1)
- Präsident | Vizepräsidenten (1)
- ZIM - Zentrum für Informationstechnologie und Medienmanagement (1)
- Zentrale und wissenschaftliche Einrichtungen (1)
- Zentrum für Qualitätsentwicklung in Lehre und Studium (ZfQ) (1)
- Zentrum für Sprachen und Schlüsselkompetenzen (Zessko) (1)
Sedentarism is a risk factor for depression and anxiety. People living with the human immunodeficiency virus (PLWH) have a higher prevalence of anxiety and depression compared to HIV-negative individuals. This cross-sectional study (n = 450, median age 44 (19-75), 7.3% females) evaluates the prevalence rates and prevalence ratio (PR) of anxiety and/or depression in PLWH associated with recreational exercise. A decreased likelihood of having anxiety (PR=0.57; 0.36-0.91; p = 0.01), depression (PR=0.41; 0.36-0.94; p=0.01), and comorbid anxiety and depression (PR = 0,43; 0.24-0.75; p=0.002) was found in exercising compared to non-exercising PLWH. Recreational exercise is associated with a lower risk for anxiety and/or depression. Further prospective studies are needed to provide insights on the direction of this association.
Solid organ transplant (SOT) recipients receive therapeutic immunosuppression that compromises their immune response to infections and vaccines. For this reason, SOT patients have a high risk of developing severe coronavirus disease 2019 (COVID-19) and an increased risk of death from severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection. Moreover, the efficiency of immunotherapies and vaccines is reduced due to the constant immunosuppression in this patient group. Here, we propose adoptive transfer of SARS-CoV-2-specific T cells made resistant to a common immunosuppressant, tacrolimus, for optimized performance in the immunosuppressed patient. Using a ribonucleoprotein approach of CRISPR-Cas9 technology, we have generated tacrolimus-resistant SARS-CoV-2-specific T cell products from convalescent donors and demonstrate their specificity and function through characterizations at the single-cell level, including flow cytometry, single-cell RNA (scRNA) Cellular Indexing of Transcriptomes and Epitopes (CITE), and T cell receptor (TCR) sequencing analyses. Based on the promising results, we aim for clinical validation of this approach in transplant recipients. Additionally, we propose a combinatory approach with tacrolimus, to prevent an overshooting immune response manifested as bystander T cell activation in the setting of severe COVID-19 immunopathology, and tacrolimus-resistant SARS-CoV-2-specific T cell products, allowing for efficient clearance of viral infection. Our strategy has the potential to prevent severe COVID-19 courses in SOT or autoimmunity settings and to prevent immunopathology while providing viral clearance in severe non-transplant COVID-19 cases.
We present proper motion (PM) measurements within the central region of the Large Magellanic Cloud (LMC), using near-infrared data from the VISTA survey of the Magellanic Cloud system (VMC). This work encompasses 18 VMC tiles covering a total sky area of similar to 28 deg(2). We computed absolute stellar PMs from multiepoch observations in the K-s filter over time baselines between similar to 12 and 47 months. Our final catalogue contains similar to 6322 000 likely LMC member stars with derived PMs. We employed a simple flat-rotating disc model to analyse and interpret the PM data. We found a stellar centre of rotation (alpha(0) = 79.95 degrees(+0.22)(-0.23), delta(0) = -69.31 degrees(+0.12)(-0.11)) that is in agreement with that resulting from Hubble Space Telescope data. The inferred viewing angles of the LMC disc (i = 33.5 degrees(+1.2)(-1.3), Theta = 129.8 degrees(+1.9)(-1.9)) are in good agreement with values from the literature but suggest a higher inclination of the central parts of the LMC. Our data confirm a higher rotation amplitude for the young (less than or similar to 0.5 Gyr) stars compared to the intermediate-age/old (greater than or similar to 1 Gyr) population, which can be explained by asymmetric drift. We constructed spatially resolved velocity maps of the intermediate-age/old and young populations. Intermediate-age/old stars follow elongated orbits parallel to the bar's major axis, providing first observational evidence for x(1) orbits within the LMC bar. In the innermost regions, the motions show more chaotic structures. Young stars show motions along a central filamentary bar structure.
A combinatorial study of the effect of in-mixing of various guests on the thermoelectric properties of the host workhorse polymer poly[2,5-bis(3-tetradecylthiophen-2-yl)thieno[3,2-b]thiophene] (PBTTT) is presented. Specifically, the composition and thickness for doped films of PBTTT blended with different polymers are varied. Some blends at guest weight fractions around 10-15% exhibit up to a fivefold increase in power factor compared to the reference material, leading to zT values around 0.1. Spectroscopic analysis of the charge-transfer species, structural characterization using grazing-incidence wide-angle X-ray scattering, differential scanning calorimetry, Raman, and atomic force microscopy, and Monte Carlo simulations are employed to determine that the key to improved performance is for the guest to promote long-range electrical connectivity and low disorder, together with similar highest occupied molecular orbital levels for both materials in order to ensure electronic connectivity are combined.
This study examines the access to healthcare for children and adolescents with three common chronic diseases (type-1 diabetes (T1D), obesity, or juvenile idiopathic arthritis (JIA)) within the 4th (Delta), 5th (Omicron), and beginning of the 6th (Omicron) wave (June 2021 until July 2022) of the COVID-19 pandemic in Germany in a cross-sectional study using three national patient registries. A paper-and-pencil questionnaire was given to parents of pediatric patients (<21 years) during the routine check-ups. The questionnaire contains self-constructed items assessing the frequency of healthcare appointments and cancellations, remote healthcare, and satisfaction with healthcare. In total, 905 parents participated in the T1D-sample, 175 in the obesity-sample, and 786 in the JIA-sample. In general, satisfaction with healthcare (scale: 0–10; 10 reflecting the highest satisfaction) was quite high (median values: T1D 10, JIA 10, obesity 8.5). The proportion of children and adolescents with canceled appointments was relatively small (T1D 14.1%, JIA 11.1%, obesity 20%), with a median of 1 missed appointment, respectively. Only a few parents (T1D 8.6%; obesity 13.1%; JIA 5%) reported obstacles regarding health services during the pandemic. To conclude, it seems that access to healthcare was largely preserved for children and adolescents with chronic health conditions during the COVID-19 pandemic in Germany.
Multijunction solar cells can overcome the fundamental efficiency limits of single-junction devices. The bandgap tunability of metal halide perovskite solar cells renders them attractive for multijunction architectures(1). Combinations with silicon and copper indium gallium selenide (CIGS), as well as all-perovskite tandem cells, have been reported(2-5). Meanwhile, narrow-gap non-fullerene acceptors have unlocked skyrocketing efficiencies for organic solar cells(6,7). Organic and perovskite semiconductors are an attractive combination, sharing similar processing technologies. Currently, perovskite-organic tandems show subpar efficiencies and are limited by the low open-circuit voltage (V-oc) of wide-gap perovskite cells(8) and losses introduced by the interconnect between the subcells(9,10). Here we demonstrate perovskite-organic tandem cells with an efficiency of 24.0 per cent (certified 23.1 per cent) and a high V-oc of 2.15 volts. Optimized charge extraction layers afford perovskite subcells with an outstanding combination of high V-oc and fill factor. The organic subcells provide a high external quantum efficiency in the near-infrared and, in contrast to paradigmatic concerns about limited photostability of non-fullerene cells(11), show an outstanding operational stability if excitons are predominantly generated on the non-fullerene acceptor, which is the case in our tandems. The subcells are connected by an ultrathin (approximately 1.5 nanometres) metal-like indium oxide layer with unprecedented low optical/electrical losses. This work sets a milestone for perovskite-organic tandems, which outperform the best p-i-n perovskite single junctions(12) and are on a par with perovskite-CIGS and all-perovskite multijunctions(13).
Perovskite semiconductors differ from most inorganic and organic semiconductors due to the presence of mobile ions in the material. Although the phenomenon is intensively investigated, important questions such as the exact impact of the mobile ions on the steady-state power conversion efficiency (PCE) and stability remain. Herein, a simple method is proposed to estimate the efficiency loss due to mobile ions via "fast-hysteresis" measurements by preventing the perturbation of mobile ions out of their equilibrium position at fast scan speeds (approximate to 1000 V s(-1)). The "ion-free" PCE is between 1% and 3% higher than the steady-state PCE, demonstrating the importance of ion-induced losses, even in cells with low levels of hysteresis at typical scan speeds (approximate to 100mv s(-1)). The hysteresis over many orders of magnitude in scan speed provides important information on the effective ion diffusion constant from the peak hysteresis position. The fast-hysteresis measurements are corroborated by transient charge extraction and capacitance measurements and numerical simulations, which confirm the experimental findings and provide important insights into the charge carrier dynamics. The proposed method to quantify PCE losses due to field screening induced by mobile ions clarifies several important experimental observations and opens up a large range of future experiments.
We live in an aging society. The change in demographic structures poses a number of challenges, including an increase in age-associated diseases. Delirium, dementia, and depression are considered to be of particular interest in the field of aging and mental health. A common theory regarding healthy aging and mental health is that the highest satisfaction and best performance is achieved when a person's abilities match the demands of their environment. In this context, the person's environment includes both the physical and the social environment. Based on this assumption, this dissertation focuses on the investigation of non-pharmacological interventions that modify environmental factors in order to facilitate the prevention and treatment of mental disorders in older patients and their caregivers. The first part of this dissertation consists of two publications and deals with the prevention of postoperative delirium in elderly patients. The PAWEL study investigated the use of a multimodal, non-pharmacological intervention in the routine care of patients aged 70 years or older undergoing elective surgery. The intervention included an interdepartmental delirium prevention team, daily use of seven manualized “best practice” procedures, structured staff training on delirium, and the adaptation of the hospital environment to the patients’ needs. The second part of the dissertation used a meta-analysis to investigate whether technology-based interventions are a suitable form of support for informal caregivers of people with dementia. Subgroup analyses were conducted to examine the effect of different types of technology on caregiver burden and depressive symptoms. The following main results were found: The PAWEL study showed that the use of a multimodal, non-pharmacological intervention resulted in a significantly lower incidence rate of postoperative delirium and reduced days with delirium in the intervention group compared to the control group. However, this difference could not be observed in the group of patients undergoing elective cardiac surgery. The results of the meta-analysis showed that technology-based interventions offer a promising alternative to traditional “face-to-face” services. Significant effect sizes could be found in relation to both the burden and the depressive symptoms of caregiving relatives. These results provide further important information on the significant impact of non-pharmacological interventions that modify environmental factors on mental health, and support the consideration of such interventions in the prevention and treatment of mental disorders in both older patients and their caregivers.
Organic solar cells offer an efficient and cost-effective alternative for solar energy harvesting. This type of photovoltaic cell typically consists of a blend of two organic semiconductors, an electron donating polymer and a low molecular weight electron acceptor to create what is known as a bulk heterojunction (BHJ) morphology. Traditionally, fullerene-based acceptors have been used for this purpose. In recent years, the development of new acceptor molecules, so-called non-fullerene acceptors (NFA), has breathed new life into organic solar cell research, enabling record efficiencies close to 19%. Today, NFA-based solar cells are approaching their inorganic competitors in terms of photocurrent generation, but lag in terms of open circuit voltage (V_OC). Interestingly, the V_OC of these cells benefits from small offsets of orbital energies at the donor-NFA interface, although previous knowledge considered large energy offsets to be critical for efficient charge carrier generation. In addition, there are several other electronic and structural features that distinguish NFAs from fullerenes.
My thesis focuses on understanding the interplay between the unique attributes of NFAs and the physical processes occurring in solar cells. By combining various experimental techniques with drift-diffusion simulations, the generation of free charge carriers as well as their recombination in state-of-the-art NFA-based solar cells is characterized. For this purpose, solar cells based on the donor polymer PM6 and the NFA Y6 have been investigated. The generation of free charge carriers in PM6:Y6 is efficient and independent of electric field and excitation energy. Temperature-dependent measurements show a very low activation energy for photocurrent generation (about 6 meV), indicating barrierless charge carrier separation. Theoretical modeling suggests that Y6 molecules have large quadrupole moments, leading to band bending at the donor-acceptor interface and thereby reducing the electrostatic Coulomb dissociation barrier. In this regard, this work identifies poor extraction of free charges in competition with nongeminate recombination as a dominant loss process in PM6:Y6 devices. Subsequently, the spectral characteristics of PM6:Y6 solar cells were investigated with respect to the dominant process of charge carrier recombination. It was found that the photon emission under open-circuit conditions can be almost entirely attributed to the occupation and recombination of Y6 singlet excitons. Nevertheless, the recombination pathway via the singlet state contributes only 1% to the total recombination, which is dominated by the charge transfer state (CT-state) at the donor-acceptor interface. Further V_OC gains can therefore only be expected if the density and/or recombination rate of these CT-states can be significantly reduced. Finally, the role of energetic disorder in NFA solar cells is investigated by comparing Y6 with a structurally related derivative, named N4. Layer morphology studies combined with temperature-dependent charge transport experiments show significantly lower structural and energetic disorder in the case of the PM6:Y6 blend. For both PM6:Y6 and PM6:N4, disorder determines the maximum achievable V_OC, with PM6:Y6 benefiting from improved morphological order. Overall, the obtained findings point to avenues for the realization of NFA-based solar cells with even smaller V_OC losses. Further reduction of nongeminate recombination and energetic disorder should result in organic solar cells with efficiencies above 20% in the future.
It is estimated that data scientists spend up to 80% of the time exploring, cleaning, and transforming their data. A major reason for that expenditure is the lack of knowledge about the used data, which are often from different sources and have heterogeneous structures. As a means to describe various properties of data, metadata can help data scientists understand and prepare their data, saving time for innovative and valuable data analytics. However, metadata do not always exist: some data file formats are not capable of storing them; metadata were deleted for privacy concerns; legacy data may have been produced by systems that were not designed to store and handle meta- data. As data are being produced at an unprecedentedly fast pace and stored in diverse formats, manually creating metadata is not only impractical but also error-prone, demanding automatic approaches for metadata detection.
In this thesis, we are focused on detecting metadata in CSV files – a type of plain-text file that, similar to spreadsheets, may contain different types of content at arbitrary positions. We propose a taxonomy of metadata in CSV files and specifically address the discovery of three different metadata: line and cell type, aggregations, and primary keys and foreign keys.
Data are organized in an ad-hoc manner in CSV files, and do not follow a fixed structure, which is assumed by common data processing tools. Detecting the structure of such files is a prerequisite of extracting information from them, which can be addressed by detecting the semantic type, such as header, data, derived, or footnote, of each line or each cell. We propose the supervised- learning approach Strudel to detect the type of lines and cells. CSV files may also include aggregations. An aggregation represents the arithmetic relationship between a numeric cell and a set of other numeric cells. Our proposed AggreCol algorithm is capable of detecting aggregations of five arithmetic functions in CSV files. Note that stylistic features, such as font style and cell background color, do not exist in CSV files. Our proposed algorithms address the respective problems by using only content, contextual, and computational features.
Storing a relational table is also a common usage of CSV files. Primary keys and foreign keys are important metadata for relational databases, which are usually not present for database instances dumped as plain-text files. We propose the HoPF algorithm to holistically detect both constraints in relational databases. Our approach is capable of distinguishing true primary and foreign keys from a great amount of spurious unique column combinations and inclusion dependencies, which can be detected by state-of-the-art data profiling algorithms.
The bimolecular recombination characteristics of conjugated polymer poly[(4,4'-bis(2-ethylhexyl)dithieno[3,2-b:2',3'-d]silole)-2,6-diyl-alt-(2,5-bis 3-tetradecylthiophen-2-y1 thiazolo 5,4-d thiazole)-2,5diy1] (PDTSiTTz) blended with the fullerene series PC60BM, ICMA, ICBA, and ICTA have been investigated using microsecond and femtosecond transient absorption spectroscopy, in conjunction with electroluminescence measurements and ambient photoemission spectroscopy. The non-Langevin polymer PDTSiTTz allows an inspection of intrinsic bimolecular recombination rates uninhibited by diffusion, while the low oscillator strengths of fullerenes allow polymer features to dominate, and we compare our results to those of the well-known polymer Si-PCPDTBT. Using mu s-TAS, we have shown that the trap -limited decay dynamics of the PDTSiTTz polaron becomes progressively slower across the fullerene series, while those of Si-PCPDTBT are invariant. Electroluminescence measurements showed an unusual double peak in pristine PDTSiTTz, attributed to a low energy intragap charge transfer state, likely interchain in nature. Furthermore, while the pristine PDTSiTTz showed a broad, low-intensity density of states, the ICBA and ICTA blends presented a virtually identical DOS to Si-PCPDTBT and its blends. This has been attributed to a shift from a delocalized, interchain highest occupied molecular orbital (HOMO) in the pristine material to a dithienosilole-centered HOMO in the blends, likely a result of the bulky fullerenes increasing interchain separation. This HOMO localization had a side effect of progressively shifting the polymer HOMO to shallower energies, which was correlated with the observed decrease in bimolecular recombination rate and increased "trap" depth. However, since the density of tail states remained the same, this suggests that the traditional viewpoint of "trapping" being dominated by tail states may not encompass the full picture and that the breadth of the DOS may also have a strong influence on bimolecular recombination.
Hantaviruses are enveloped viruses that possess a tri-segmented, negative-sense RNA genome.
The viral S-segment encodes the multifunctional nucleocapsid protein (N), which is involved in genome packaging, intracellular protein transport, immunoregulation, and several other crucial processes during hantavirus infection.
In this study, we generated fluorescently tagged N protein constructs derived from Puumalavirus (PUUV), the dominant hantavirus species in Central, Northern, and Eastern Europe.
We comprehensively characterized this protein in the rodent cell line CHO-K1, monitoring the dynamics of N protein complex formation and investigating co-localization with host proteins as well as the viral glycoproteins Gc and Gn.
We observed formation of large, fibrillar PUUV N protein aggregates, rapidly coalescing from early punctate and spike-like assemblies.
Moreover, we found significant spatial correlation of N with vimentin, actin, and P-bodies but not with microtubules. N constructs also co-localized with Gn and Gc albeit not as strongly as the glycoproteins associated with each other.
Finally, we assessed oligomerization of N constructs, observing efficient and concentration-dependent multimerization, with complexes comprising more than 10 individual proteins.
Understanding and constraining the source of geodetic deformation in volcanic areas is an important component of hazard assessment. Here, we analyse deformation and seismicity for one year before the March 2021 Fagradalsfjall eruption in Iceland. We generate a high-resolution catalogue of 39,500 earthquakes using optical cable recordings and develop a poroelastic model to describe three pre-eruptional uplift and subsidence cycles at the Svartsengi geothermal field, 8 km west of the eruption site. We find the observed deformation is best explained by cyclic intrusions into a permeable aquifer by a fluid injected at 4 km depth below the geothermal field, with a total volume of 0.11 ± 0.05 km3 and a density of 850 ± 350 kg m–3. We therefore suggest that ingression of magmatic CO2 can explain the geodetic, gravity and seismic data, although some contribution of magma cannot be excluded.
The Palaeocene-Eocene Thermal Maximum (ca. 56 million years ago) offers a primary analogue for future global warming and carbon cycle recovery. Yet, where and how massive carbon emissions were mitigated during this climate warming event remains largely unknown. Here we show that organic carbon burial in the vast epicontinental seaways that extended over Eurasia provided a major carbon sink during the Palaeocene-Eocene Thermal Maximum. We coupled new and existing stratigraphic analyses to a detailed paleogeographic framework and using spatiotemporal interpolation calculated ca. 720–1300 Gt organic carbon excess burial, focused in the eastern parts of the Eurasian epicontinental seaways. A much larger amount (2160–3900 Gt C, and when accounting for the increase in inundated shelf area 7400–10300 Gt C) could have been sequestered in similar environments globally. With the disappearance of most epicontinental seas since the Oligocene-Miocene, an effective negative carbon cycle feedback also disappeared making the modern carbon cycle critically dependent on the slower silicate weathering feedback.
In search of Ovidian hebrew
(2022)
This paper focuses on the first substantial translation of Ovid’s Metamorphoses into modern Hebrew, whose author was Yehoshua Friedman (1885–1934). The first part of the paper sets Friedman into the context of modern Hebrew classical philology and explores the character of his verse. The core of the text consists of three case studies of selected excerpts from Ovid’s story of Apollo and Daphne (Met. I, 456–465; 481–482; 545–552). Based on detailed linguistic and stylistic analysis of these texts, I argue that Friedman did not simply adopt a pre-existing linguistic register, but rather created an original Ovidian idiom that helped to win him lasting significance in the history of Hebrew translations from classical languages.
Recently, there has been an upsurge of activity in image-based non-photorealistic rendering (NPR), and in particular portrait image stylisation, due to the advent of neural style transfer (NST). However, the state of performance evaluation in this field is poor, especially compared to the norms in the computer vision and machine learning communities. Unfortunately, the task of evaluating image stylisation is thus far not well defined, since it involves subjective, perceptual, and aesthetic aspects. To make progress towards a solution, this paper proposes a new structured, three-level, benchmark dataset for the evaluation of stylised portrait images. Rigorous criteria were used for its construction, and its consistency was validated by user studies. Moreover, a new methodology has been developed for evaluating portrait stylisation algorithms, which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the faces. We perform evaluation for a wide variety of image stylisation methods (both portrait-specific and general purpose, and also both traditional NPR approaches and NST) using the new benchmark dataset.
Quinoa (Chenopodium quinoa Willd.) is an herbaceous annual crop of the amaranth family (Amaranthaceae). It is increasingly cultivated for its nutritious grains, which are rich in protein and essential amino acids, lipids, and minerals. Quinoa exhibits a high tolerance towards various abiotic stresses including drought and salinity, which supports its agricultural cultivation under climate change conditions. The use of quinoa grains is compromised by anti-nutritional saponins, a terpenoid class of secondary metabolites deposited in the seed coat; their removal before consumption requires extensive washing, an economically and environmentally unfavorable process; or their accumulation can be reduced through breeding. In this study, we analyzed the seed metabolomes, including amino acids, fatty acids, and saponins, from 471 quinoa cultivars, including two related species, by liquid chromatography - mass spectrometry. Additionally, we determined a large number of agronomic traits including biomass, flowering time, and seed yield. The results revealed considerable diversity between genotypes and provide a knowledge base for future breeding or genome editing of quinoa.
Plant metabolism is the main process of converting assimilated carbon to different crucial compounds for plant growth and therefore crop yield, which makes it an important research topic. Although major advances in understanding genetic principles contributing to metabolism and yield have been made, little is known about the genetics responsible for trait variation or canalization although the concepts have been known for a long time. In light of a growing global population and progressing climate change, understanding canalization of metabolism and yield seems ever-more important to ensure food security. Our group has recently found canalization metabolite quantitative trait loci (cmQTL) for tomato fruit metabolism, showing that the concept of canalization applies on metabolism. In this work two approaches to investigate plant metabolic canalization and one approach to investigate yield canalization are presented.
In the first project, primary and secondary metabolic data from Arabidopsis thaliana and Phaseolus vulgaris leaf material, obtained from plants grown under different conditions was used to calculate cross-environment coefficient of variations or fold-changes of metabolite levels per genotype and used as input for genome wide association studies. While primary metabolites have lower CV across conditions and show few and mostly weak associations to genomic regions, secondary metabolites have higher CV and show more, strong metabolite to genome associations. As candidate genes, both potential regulatory genes as well as metabolic genes, can be found, albeit most metabolic genes are rarely directly related to the target metabolites, suggesting a role for both potential regulatory mechanisms as well as metabolic network structure for canalization of metabolism.
In the second project, candidate genes of the Solanum lycopersicum cmQTL mapping are selected and CRISPR/Cas9-mediated gene-edited tomato lines are created, to validate the genes role in canalization of metabolism. Obtained mutants appeared to either have strong aberrant developmental phenotypes or appear wild type-like. One phenotypically inconspicuous mutant of a pantothenate kinase, selected as candidate for malic acid canalization shows a significant increase of CV across different watering conditions. Another such mutant of a protein putatively involved in amino acid transport, selected as candidate for phenylalanine canalization shows a similar tendency to increased CV without statistical significance. This potential role of two genes involved in metabolism supports the hypothesis of structural relevance of metabolism for its own stability.
In the third project, a mutant for a putative disulfide isomerase, important for thylakoid biogenesis, is characterized by a multi-omics approach. The mutant was characterized previously in a yield stability screening and showed a variegated leaf phenotype, ranging from green leaves with wild type levels of chlorophyll over differently patterned variegated to completely white leaves almost completely devoid of photosynthetic pigments. White mutant leaves show wild type transcript levels of photosystem assembly factors, with the exception of ELIP and DEG orthologs indicating a stagnation at an etioplast to chloroplast transition state. Green mutant leaves show an upregulation of these assembly factors, possibly acting as overcompensation for partially defective disulfide isomerase, which seems sufficient for proper chloroplast development as confirmed by a wild type-like proteome. Likely as a result of this phenotype, a general stress response, a shift to a sink-like tissue and abnormal thylakoid membranes, strongly alter the metabolic profile of white mutant leaves. As the severity and pattern of variegation varies from plant to plant and may be effected by external factors, the effect on yield instability, may be a cause of a decanalized ability to fully exploit the whole leaf surface area for photosynthetic activity.
Starch is an insoluble polyglucan, comprises of two polymers, namely, the branched α-1,4: α-1,6-D-glucan amylopectin and the almost unbranched α-1,4-D-glucan amylose. The growth of all plants is directly dependent on the accumulation of transitory starch during the daytime when photosynthesis takes place and subsequently starch degradation during the night. Starch phosphorylation takes place by starch-related dikinases called α-glucan, water dikinase (GWD), and phosphoglucan, water dikinase (PWD), and is a very important step in starch degradation. The biochemical mechanisms of phosphorylation of starch are not properly understood. Recent studies have found that there are two starch binding proteins namely, Early Starvation1 (ESV1) and Like Early Starvation1 (LESV), which play an important role in starch metabolism. It has been shown that ESV1 and LESV proteins affect the starch phosphorylation activity of GWD and PWD enzymes, which control the rate of degradation of starch granules. In this thesis, various in vitro assays were performed to identify and understand the mechanism of recombinant proteins; ESV1 and LESV on the starch degradation. The starch degradation was performed by phosphorylation enzymes, GWD and PWD separately. In various enzymatic assays, the influence of the ESV1 and LESV on the actions of GWD and PWD on the surfaces of different native starch granules were analysed. Furthermore, ESV1 and LESV have specifically shown influences on the phosphorylation activities of GWD and PWD on the starch granule surfaces in an antagonistic pattern in such a way that, the GWD mediated phosphorylation were significantly reduced while PWD mediated phosphorylation were significantly increased respectively. In another set of experiments, ISA and BAM hydrolyzing enzymes were used to alter the structure of starch, and then determine the effect of both dikinases mediated phosphorylation in the presence of ESV1 and LESV on the altered starch granules surfaces. In these results, significant decreases in both GWD and PWD mediated phosphorylation were observed in all the treatments containing either ESV1 or LESV proteins only or both ESV1 and LESV. It was also found that LESV preferentially binds to both amylose and amylopectin, while ESV1 binds to highly ordered glucans such as maltodextrins and amylopectin, which are crystalline in structure. Both ESV1 or LESV proteins either individually or in combination have shown influence on the activity of GWD and PWD phosphate incorporation into the starch granules via reduction even though at different percentages depending on the sources of starch, therefore it is difficult to distinguish the specific function between them. The biochemical studies have shown that protein-glucan interaction specifically between ESV1 or LESV or in combination with different species of starch granules has very strong surface binding, or it might be possible that both the proteins not only bind to the surface of the starch granules but also have entered deep inside the glucan structure of the starch granules. However, the results also revealed that ESV1 and LESV did not alter the autophosphorylation of the dikinases. Also, the chain length distribution pattern of the released glucan chains after treatment of starch with ISA enzyme was evaluated with respect to the degree of polymerization (DP) of the different starch granules. Capillary electrophoresis was employed to study the effect of LESV and ESV1 on the chain length distribution. In summary, this study confirms that ESV1 and LESV play an important role in organizing and regulating the starch metabolism process. In the later half, studies were performed to monitor whether the metabolism of carbohydrates and partitioning, contribute to the higher salt tolerance of the facultative halophyte Hordeum marinum when compared to glycophyte Hordeum vulgare. Seedlings with the same size from both species were hydroponically grown at 0, 150, and 300 mM of NaCl for 3 weeks. H. marinum maintained a high relative growth rate, which was found concomitant in higher aptitude plants to maintain efficient shoot tissue hydration and integrity of membrane under salt conditions when compared to H. vulgare. Hence, our data suggested that the change in the starch storage, distribution of soluble sugar concentrations between source and sink organs, and also changes in the level of enzymes involved in the starch metabolism was significant to give insights into the importance of carbohydrate metabolism in barley species with regards to the salt tolerance. Although these results are still in their nascent state, it could be vital for other researchers to formulate future studies. The preliminary results which were studies about the carbohydrate metabolism and partitioning in salt responses in the halophyte H. marinum and the glycophyte H. vulgare revealed that salt tolerance in barley species is not due to osmotic adjustments, but due to other reasons that were not explored in the past studies. However, the activity of DPE2 in H. vulgare was not hampered by the presence of NaCl as observed. While Pho1 and Pho2, activities were highly increased in cultivated barley. These findings could be suggestive of a possible role of these enzymes in the responses of carbohydrate metabolism to salinity. When sea and cultivated barley species were compared, it was discovered that the former had more versatility in carbohydrate metabolism and distribution.
The unmixed debris of Gaia-Sausage/Enceladus in the form of a pair of halo stellar overdensities
(2022)
In the first billion years after its formation, the galaxy underwent several mergers with dwarf satellites of various masses. The debris of Gaia-Sausage/Enceladus (GSE), the galaxy responsible for the last significant merger of the Milky Way, dominates the inner halo and has been suggested to be the progenitor of both the Hercules-Aquila Cloud (HAC) and Virgo Overdensity (VOD). We combine SEGUE, APOGEE, Gaia, and StarHorse distances to characterize the chemodynamical properties and verify the link between HAC, VOD, and GSE. We find that the orbital eccentricity distributions of the stellar overdensities and GSE are comparable. We also find that they have similar, strongly peaked, metallicity distribution functions, reinforcing the hypothesis of common origin. Furthermore, we show that HAC and VOD are indistinguishable from the prototypical GSE population within all chemical-abundance spaces analyzed. All these evidences combined provide a clear demonstration that the GSE merger is the main progenitor of the stellar populations found within these halo overdensities.