cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Clinical assessment for diet prescription
Creators: name: Kiani, Aysha Karim
name: Medori, Maria Chiara
name: Dhuli, Kristjana
name: Donato, Kevin
name: Caruso, Paola
name: Fioretti, Francesco
name: Perrone, Marco Alfonso
name: Ceccarini, Maria Rachele
name: Manganotti, Paolo
name: Nodari, Savina
name: Codini, Michela
name: Beccari, Tommaso
name: Bertelli, Matteo
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Accurate nutritional assessment based on dietary intake, physical activity, genetic makeup, and metabolites is required to prevent from developing and/or to treat people suffering from malnutrition as well as other nutrition related health issues. Nutritional screening ought to be considered as an essential part of clinical assessment for every patient on admission to healthcare setups, as well as on change in clinical conditions. Therefore, a detailed nutritional assessment must be performed every time nutritional imbalances are observed or suspected. In this review we have explored different techniques used for nutritional and physical activity assessment. Dietary Intake (DI) assessment is a multidimensional and complex process. Traditionally, dietary intake is assessed through self-report techniques, but due to limitations like biases, random errors, misestimations, and nutrient databases-linked errors, questions arise about the adequacy of self-reporting dietary intake procedures. Despite the limitations in assessing dietary intake (DI) and physical activity (PA), new methods and improved technologies such as biomarkers analysis, blood tests, genetic assessments, metabolomic analysis, DEXA (Dual-energy X-ray absorptiometry), MRI (Magnetic resonance imaging), and CT (computed tomography) scanning procedures have made much progress in the improvement of these measures. Genes also plays a crucial role in dietary intake and physical activity. Similarly, metabolites are also involved in different nutritional pathways. This is why integrating knowledge about the genetic and metabolic markers along with the latest technologies for dietary intake (DI) and physical activity (PA) assessment holds the key for accurately assessing one’s nutritional status and prevent malnutrition and its related complications.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
title: Schiltach im Schwarzwald - Schutz einer alten Fachwerkstadt
Creators: name: Hesselbacher, Martin
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 1, Nr. 3 (1972), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
title: Der Helfensteiner Pferdestall in Wiesensteig, Kreis Göppingen. Die Rettung eines wertvollen Fachwerkgebäudes
Creators: name: Cichy, Bodo
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 1, Nr. 4 (1972), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Main nutritional deficiencies
Creators: name: Kiani, Aysha Karim
name: Dhuli, Kristjana
name: Donato, Kevin
name: Aquilanti, Barbara
name: Velluti, Valeria
name: Matera, Giuseppina
name: Iaconelli, Amerigo
name: Connelly, Stephen Thaddeus
name: Bellinato, Francesco
name: Gisondi, Paolo
name: Bertelli, Matteo
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Nutrition is the source of energy that is required to carry out all the processes of human body. A balanced diet is a combination of both macro- and micronutrients. “Nutritional inadequacy” involves an intake of nutrients that is lower than the estimated average requirement, whereas “nutritional deficiency” consists of severely reduced levels of one or more nutrients, making the body unable to normally perform its functions and thus leading to an increased risk of several diseases like cancer, diabetes, and heart disease. Malnutrition could be caused by environmental factors, like food scarcity, as well as disease conditions, like anorexia nervosa, fasting, swallowing inability, persistent vomiting, impaired digestion, intestinal malabsorption, or other chronic diseases. Nutritional biomarkers – like serum or plasma levels of nutrients such as folate, vitamin C, B vitamins, vitamin D, selenium, copper, zinc – could be used for the evaluation of nutrient intake and dietary exposure. Macronutrients deficiencies could cause kwashiorkor, marasmus, ketosis, growth retardation, wound healing, and increased infection susceptibility, whereas micronutrient – like iron, folate, zinc, iodine, and vitamin A – deficiencies lead to intellectual impairment, poor growth, perinatal complications, degenerative diseases associated with aging and higher morbidity and mortality. Preventing macro- and micronutrient deficiency is crucial and this could be achieved through supplementation and food-based approaches
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
Asymptotic normality and optimalities in estimation of large Gaussian graphical models
Creators: name: Ren, Zhao
name: Sun, Tingni
name: Zhang, Cun-Hui
name: Zhou, Harrison H.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Statistics Theory (math.ST)
subject: Methodology (stat.ME)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: The Gaussian graphical model, a popular paradigm for studying relationship among variables in a wide range of applications, has attracted great attention in recent years. This paper considers a fundamental question: When is it possible to estimate low-dimensional parameters at parametric square-root rate in a large Gaussian graphical model? A novel regression approach is proposed to obtain asymptotically efficient estimation of each entry of a precision matrix under a sparseness condition relative to the sample size. When the precision matrix is not sufficiently sparse, or equivalently the sample size is not sufficiently large, a lower bound is established to show that it is no longer possible to achieve the parametric rate in the estimation of each entry. This lower bound result, which provides an answer to the delicate sample size question, is established with a novel construction of a subset of sparse precision matrices in an application of Le Cam's lemma. Moreover, the proposed estimator is proven to have optimal convergence rate when the parametric rate cannot be achieved, under a minimal sample requirement. The proposed estimator is applied to test the presence of an edge in the Gaussian graphical model or to recover the support of the entire model, to obtain adaptive rate-optimal estimation of the entire precision matrix as measured by the matrix $\ell_q$ operator norm and to make inference in latent variables in the graphical model. All of this is achieved under a sparsity condition on the precision matrix and a side condition on the range of its spectrum. This significantly relaxes the commonly imposed uniform signal strength condition on the precision matrix, irrepresentability condition on the Hessian tensor operator of the covariance matrix or the $\ell_1$ constraint on the precision matrix. Numerical results confirm our theoretical findings. The ROC curve of the proposed algorithm, Asymptotic Normal Thresholding (ANT), for support recovery significantly outperforms that of the popular GLasso algorithm.
description: Published at http://dx.doi.org/10.1214/14-AOS1286 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Bounds on anomalous quartic $WWZγ$ couplings in $e^-p$ collisions at the FCC-he
Creators: name: Gurkanli, E.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Non-Abelian structure of the Standard Model predicts the self-interactions of gauge bosons triple gauge couplings (TGC) and quartic gauge couplings (QGC). On the other hand, it is also important to determine the deviations from Standard Model (SM) via anomalous triple gauge couplings (aTGC) and anomalous quartic gauge couplings (aQGC) to test the nature of the Standard Model (SM) and to see the effects of new physics arising from the beyond standard model (BSM). In this study, we focus on the $e^-p \to j Zγν_e \to j (l^{+} l^{-})γν_e$ process to examine the $WWZγ$ anomalous quartic gauge couplings (aQGC) at the Future Circular Collider-hadron electron (FCC-he) with center-of-mass energy $\sqrt{s}=5.29$ TeV using with a model-independent way in the effective theory approach. A Cut-based method are applied to analyse the signal and relevant SM background. Using with the total cross-sections, we constrained on the anomalous $ f_ {T,i=0,1,2,5,6,7}/Λ^4$ couplings arising from dimension-8 operators at $95\%$ Confidence Level (C.L.) for the dilepton decay of the $Z$-boson. The results are composed with integrated luminosities of ${\cal L}=1,2$ and $3$ $\rm ab^{-1}$ under the systematic uncertainties of $\%0$, $\%5$ and $\%10$. In the calculations, we use the form factor to eleminate the effects of the violation of unitarity. With this, we obtained the limits for the energy scale of the form factor $Λ=1$ TeV. In addition to all this, we use the adventages of $ep$ collisions for analysing the process with much cleaner environment and lower background effects comparing with the $pp$ collisions. The obtained sensitivities on $ f_ {T,i=0,1,2,5,6,7}/Λ^4$ are comparable with the experimental results and related phenomenological studies in the literature.
description: 19 pages, 5 figures
title: Ein altes Bauernhaus wird Treffpunkt der Oftersheimer Einwohner
Creators: name: Schubart, Peter
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 6, Nr. 3 (1977), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Probing neutrino magnetic moments and the XENON1T excess with coherent elastic solar neutrino scattering
Creators: name: Li, Yu-Feng
name: Xia, Shuo-yu
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The detection potential of the active neutrino magnetic moment ($ν_{a}$MM) and the active sterile transition magnetic moment ($ν_{s}$MM) of the solar neutrino CE$ν$NS process in future Dark Matter direct detection experiments is studied and compared with the respective allowed range to explain the Xenon1T excess. We find that the sensitivity to the $ν_{a}$MM approaches to the level between $10^{-10}μ_B$ and $10^{-11}μ_B$, which is dominantly limited by the detection threshold. On the other hand, the future solar neutrino CE$ν$NS detection would be powerful in probing the $ν_{s}$MM for the sterile neutrino mass below 10 MeV, which could unambiguously test the $ν_{s}$MM explanation of the Xenon1T excess. The sensitivity in the general framework with both $ν_{a}$MM and $ν_{s}$MM contributions is also derived.
description: 22 pages, 5 figures
title: Die Dienststellen des Landesdenkmalamtes
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 6, Nr. 4 (1977), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
The Perception of Employment Insecurity in Italian Regions in the Period 2018-2022
Creators: name: Leogrande, Angelo
Publisher: name: Zenodo
Year: 2023

description: Istat calculates the value of the perception of employment insecurity in the Italian regions. The variable is defined as the percentage of employed people who believe it is probable that they will lose their current job in the next 6 months and that it is little or not at all probable that they will find another similar one out of the total number of employed people. The data refers to the period 2018-2022 for the Italian regions.
A Self-Learning Neural Network Approach for RFI Detection and Removal in Radio Astronomy
Creators: name: Saliwanchik, Benjamin R. B.
name: Slosar, Anže
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We present a novel neural network (NN) method for the detection and removal of Radio Frequency Interference (RFI) from the raw digitized signal in the signal processing chain of a typical radio astronomy experiment. The main advantage of our method is that it does not require a training set. Instead, our method relies on the fact that the true signal of interest coming from astronomical sources is thermal and therefore described as a Gaussian random process, which cannot be compressed. We employ a variational encoder/decoder network to find the compressible information in the datastream that can explain the most variance with the fewest degrees of freedom. We demonstrate it on a set of toy problems and stored ringbuffers from the Baryon Mapping eXperiment (BMX) prototype. We find that the RFI subtraction is effective at cleaning simulated timestreams: while we find that the power spectra of the RFI-cleaned timestreams output by the NN suffer from extra signal consistent with additive noise, we find that it is generally around percent level across the band and sub 10 percent in contaminated spectral channels even when RFI power is an order of magnitude larger than the signal. We discuss advantages and limitations of this method and possible implementation in the front-end of future radio experiments.
description: 16 pages, 6 figures, Accepted for publication in PASP
The role of mediterranean diet and gut microbiota in type- diabetes mellitus associated with obesity (diabesity)
Creators: name: Özsoy, Serpil
name: Sultanoglu, Nazife
name: Sanlidag, Tamer
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: The human body is made up of 10¹⁴ human cells and 10¹⁵ bacterial cells, forming a combined structure that is described as a “superorganism”. Commensal, symbiotic, and pathogenic microorganisms in the human body, many of which are located inside the intestine, affect health conditions and diseases. An important factor contributing to the development of chronic diseases is dysbiosis, which occurs when the number of pathogenic microorganisms increases. Dysbiosis is associated with increased intestinal permeability, endotoxemia (increased LPS), pro-inflammatory cytokine release, energy harvest, and adiposity, thus being involved in the pathogenesis of disorders like diabetes and obesity. Nutritional habits are the most important environmental factor that affects intestinal microbial composition. A dietary pattern that was proven successful in regulating gut microbiota is the renowned Mediterranean diet, which is characterized by high plant-based foods consumption, moderate fish and dairy products consumption, and low red meat consumption. There is an inverse relationship between adherence to the Mediterranean diet and chronic diseases like obesity and diabetes. In addition to the direct effects of the Mediterranean diet on the pathogenesis of these diseases, it can also be effective in preventing these diseases due to its effects on the intestinal microbiota. It is noted that the number of Bifidobacterium and Bacteroides increases the longer one’s eating habit adhere to the Mediterranean diet, and the number of Firmicutes decreases, accordingly, thus supporting the symbiotic distribution in the intestinal microbiota.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
Higgs Strahlung at the Large Hadron Collider in the 2-Higgs-Doublet Model
Creators: name: Harlander, Robert V.
name: Liebler, Stefan
name: Zirke, Tom
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We present a calculation of all relevant contributions to associated production of a Higgs boson with a weak gauge boson in the 2-Higgs-Doublet Model (2HDM) at the LHC, $pp \rightarrow Vϕ$, with $ϕ\in\{h,H^0,A\}$ and $V\in\{W,Z\}$. While for the $Wϕ$ mode, this mostly amounts to a simple rescaling of the Standard Model (SM) cross section, the $Zϕ$ cross section depends on several 2HDM parameters. The ratio $σ^{Wϕ}/σ^{Zϕ}$, for which we present the currently most complete SM prediction, therefore appears to be a sensitive probe of possible New Physics effects. We study its numerical dependence on the top and bottom Yukawa couplings, including their sign. Furthermore, we consider the $Wϕ/Zϕ$ ratio in exemplary 2HDM scenarios and briefly address the effects in the boosted regime. Analogous studies for other 2HDM scenarios will become possible with an upcoming version of the program vh@nnlo which incorporates the 2HDM effects.
description: 32 pages, 18 figures; v2: discussion of boosted regime added, typos corrected, references added, version published in JHEP
A review of the Mediterranean diet and nutritional genomics in relation to cancer in women
Creators: name: Tuncel, Gulten
name: Hoti, Qendresa
name: Mocan, Gamze
name: Ergoren, Mahmut Cerkez
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Cancer is the leading cause of death among women all over the world. Female tissue-specific cancers are the most commonly diagnosed among women and account for most cancer-related deaths. The main risk factors for women’s cancer are hereditary factors, specific exposure to dangerous chemicals, disorders such as hormone imbalance, and lifestyle. High body mass index, low physical activity, low intake of fruit and vegetables, smoking, excessive alcohol consumption, lack of cancer screening and treatment are the most common risk factors. Nutrigenetics and nutrigenomics are both part of nutritional genomics. Nutrigenetics is how a person’s body reacts to nutrients based on his/her genotype. It can be used to create a personalized diet, maintain a person’s health, avoid disease, and if necessary to sustain therapy. Nutrigenomics studies the impact of nutrition on gene expression and the epigenomic, proteomic, transcriptomic and metabolomic effects of dietary intake. There is evidence that diet matters for different women’s cancers, and is related to cancer progression, survival and treatment. The optimum combination for cancer prevention is a diet rich in vitamins and fibre, with low meat consumption, low milk intake and moderate use of alcohol. The Mediterranean diet looks to be an optimal diet with a good nutrition pattern, qualifying it as a therapy to prescribe.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
title: Das Gebäude Bismarckring 67 in Biberach an der Riß - Bemerkungen zu einer besonderen städtebaulichen Situation
Creators: name: Lipps-Kant, Barbara
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 7, Nr. 1 (1978), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Hunting for neutrino emission from multi-frequency variable sources
Creators: name: Chang, Yu-Ling
name: Arsioli, Bruno
name: Li, Wenlian
name: Xu, Donglian
name: Chen, Liang
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Pinpointing the neutrino sources is crucial to unveil the mystery of high-energy cosmic rays. The search for neutrino-source candidates from coincident neutrino-photon signatures and electromagnetic objects with peculiar flaring behaviors have the potential to increase our chances of finding neutrino emitters. In this paper, we first study the temporal correlations of astrophysical flares with neutrinos, considering a few hundreds of multi-frequency sources from ALMA, WISE, Swift, and Fermi in the containment regions of IceCube high-energy alerts. Furthermore, the spatial correlations between blazars and neutrinos are investigated using the subset of 10-year IceCube track-like neutrinos with around 250 thousand events. In the second test, we account for 2700 blazars with different types of flaring phases in addition to sole position. No significant neutrino emissions were found from our analyses. Our results indicate an interesting trend showing the infrared flaring stages of WISE blazars might be correlated with arrival times of the neutrino alerts. Possible overflow of neutrinos associated with two of our blazar sub-samples are also illustrated. One is characterized by a significant flaring lag in infrared with respect to gamma-rays, like seen for TXS0506+056, and the other is characterized by highly simultaneous infrared and gamma-ray flares. These phenomena suggest the need to improve current multi-frequency light-curve catalogs to pair with the advent of more sensitive neutrino observatories.
description: 30 pages, 16 figures
title: Der Marktplatz von Weikersheim
Creators: name: Poser, Hasso Von
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 7, Nr. 2 (1978), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
A generalization of tangent-based implicit curves
Creators: name: Sipos, Ágoston
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computational Geometry (cs.CG)
subject: FOS: Computer and information sciences

description: An approach to defining quadratic implicit curves is to prescribe two tangent lines and a secant line going through the points of tangency. This paper will show that this method can be generalized to a higher number of tangents, resulting in higher degree curves.
Human wealth evolution is an accelerating expansion underpinned by a decelerating optimization process
Creators: name: Sibani, Paolo
name: Rasmussen, Steen
name: Hansen, Per Lyngs
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Optimization and expansion are two modes of staged evolution of complex systems where macroscopic observables change at a decreasing, respectively increasing, rate. A prime example of evolutionary expansion, Gross Domestic Product (GDP) time series gauge economic activities in changing societal structures,} and the accelerating trend of their growth probably reflects a manyfold increase of the human interactions that drive change. We show how optimization and expansion can coexist by replacing `wall clock time' $t$ as independent variable with a measure of human interactions intensity $τ$. Our analysis of eight centuries of yearly GDP data from three regions of Western Europe is carried out in two steps. First, a Monte Carlo algorithm is used to fit the GDP data to a piecewise continuous function comprising a sequence of exponentials with different exponents. In a second step, GDP data are plotted vs. $τ$ and shown to display two logarithmic regimes, both decelerating, that are joined by a power-law cross-over period. We connect the end of the first regime and the beginning of the second with the dawn of the Industrial Revolution and the societal impact of new transport, communication and production technologies that became widely available after World War I. We conclude that wealth evolution in terms of $τ$ is a decelerating process with the hallmarks of record dynamics optimization.
description: 8 pages, 11 figures
title: Torsten Gebhard: Alte Bauernhäuser. Von den Halligen bis zu den Alpen, München 1977
Creators: name: Schöck, Gustav
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 7, Nr. 2 (1978), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Computational barriers in minimax submatrix detection
Creators: name: Ma, Zongming
name: Wu, Yihong
Publisher: name: arXiv
Year: 2013
Subjects: subject: Statistics Theory (math.ST)
subject: Information Theory (cs.IT)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: This paper studies the minimax detection of a small submatrix of elevated mean in a large matrix contaminated by additive Gaussian noise. To investigate the tradeoff between statistical performance and computational cost from a complexity-theoretic perspective, we consider a sequence of discretized models which are asymptotically equivalent to the Gaussian model. Under the hypothesis that the planted clique detection problem cannot be solved in randomized polynomial time when the clique size is of smaller order than the square root of the graph size, the following phase transition phenomenon is established: when the size of the large matrix $p\to\infty$, if the submatrix size $k=Θ(p^α)$ for any $α\in(0,{2}/{3})$, computational complexity constraints can incur a severe penalty on the statistical performance in the sense that any randomized polynomial-time test is minimax suboptimal by a polynomial factor in $p$; if $k=Θ(p^α)$ for any $α\in({2}/{3},1)$, minimax optimal detection can be attained within constant factors in linear time. Using Schatten norm loss as a representative example, we show that the hardness of attaining the minimax estimation rate can crucially depend on the loss function. Implications on the hardness of support recovery are also obtained.
description: Published at http://dx.doi.org/10.1214/14-AOS1300 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Effects of the mediterranean diet polyphenols on cancer development
Creators: name: Dayi, Taygun
name: Oniz, Adile
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Globally, the second most common mortality reason is cancer. There are two types of risk factors for cancer: intrinsic (unmodifiable) and non-intrinsic (modifiable). Bad lifestyle behaviors are among the exogenous non-intrinsic risk factors that can be related to 30-50% of cancer development risk, among which can be counted the Western lifestyle. On the contrary, a potentially good lifestyle model to prevent cancer is the Mediterranean diet (MD), which is a plant-based nutrition model. The Mediterranean diet includes many beneficial nutrients and nutritional substances, such as dietary fibers, fatty acids, anti-oxidant and anti-inflammatory substances, etc. Among these beneficial substances, an important group is the one composed by polyphenols, the most common plant-synthesized secondary metabolites. Being a plant-based nutrition model, the Mediterranean diet provides many polyphenols, such as resveratrol, quercetin, phenolic acids, catechins, anthocyanins, oleocanthal, oleuropein, rosmarinic acid, gallic acid, hesperidin, naringenin, ellagic acid, etc. These substances show anti-proliferative, pro-apoptotic, anti-inflammatory, anti-oxidant, anti-migration, anti-angiogenic, anti-metastatic, and autophagy stimulator effects, which can potentially reduce cancer development risk, as was shown by some in vivo and in vitro studies on this topic. In this review of the literature we shed light on the effects and potential interactions between the Mediterranean diet polyphenols and cancer development.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
title: Grabungsschutzgebiet „Klostergarten" in Sindelfingen
Creators: name: Schäfer, Hartmut
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 7, Nr. 3 (1978), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Hybrid discrete-continuous truncated Wigner approximation for driven, dissipative spin systems
Creators: name: Mink, Christopher D.
name: Petrosyan, David
name: Fleischhauer, Michael
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We present a systematic approach for the semiclassical treatment of many-body dynamics of interacting, open spin systems. Our approach overcomes some of the shortcomings of the recently developed discrete truncated Wigner approximation (DTWA) based on Monte-Carlo sampling in a discrete phase space that improves the classical treatment by accounting for lowest-order quantum fluctuations. We provide a rigorous derivation of the DTWA by embedding it in a continuous phase space, thereby introducing a hybrid discrete-continuous truncated Wigner approximation (DCTWA). We derive a set of operator-differential mappings that yield an exact equation of motion (EOM) for the continuous SU(2) Wigner function of spins. The standard DTWA is then recovered by a systematic neglection of specific terms in this exact EOM. The hybrid approach permits us to determine the validity conditions and to gain detailed understanding of the quality of the approximation, paving the way for systematic improvements. Furthermore, we show that the continuous embedding allows for a straightforward extension of the method to open spin systems subject to dephasing, losses and incoherent drive, while preserving the key advantages of the discrete approach, such as a positive definite Wigner distribution of typical initial states. We derive exact stochastic differential equations for processes which cannot be described by the standard DTWA due to the presence of non-classical noise. We illustrate our approach by applying it to the dissipative dynamics of Rydberg excitation of one-dimensional arrays of laser-driven atoms and compare it to exact results for small systems.
description: 16 pages, 5 figures
title: Abbruchkandidaten mit Zukunft. Regierungsbezirk Freiburg
Creators: name: Redaktion, Die
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 7, Nr. 3 (1978), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Soft Contract Verification
Creators: name: Nguyen, Phuc C.
name: Tobin-Hochstadt, Sam
name: Van Horn, David
Publisher: name: arXiv
Year: 2013
Subjects: subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences
subject: D.2.4; D.3.1

description: Behavioral software contracts are a widely used mechanism for governing the flow of values between components. However, run-time monitoring and enforcement of contracts imposes significant overhead and delays discovery of faulty components to run-time. To overcome these issues, we present soft contract verification, which aims to statically prove either complete or partial contract correctness of components, written in an untyped, higher-order language with first-class contracts. Our approach uses higher-order symbolic execution, leveraging contracts as a source of symbolic values including unknown behavioral values, and employs an updatable heap of contract invariants to reason about flow-sensitive facts. We prove the symbolic execution soundly approximates the dynamic semantics and that verified programs can't be blamed. The approach is able to analyze first-class contracts, recursive data structures, unknown functions, and control-flow-sensitive refinements of values, which are all idiomatic in dynamic languages. It makes effective use of an off-the-shelf solver to decide problems without heavy encodings. The approach is competitive with a wide range of existing tools---including type systems, flow analyzers, and model checkers---on their own benchmarks.
description: ICFP '14, September 1-6, 2014, Gothenburg, Sweden
Simulating non-Markovian stochastic processes
Creators: name: Boguna, Marian
name: Lafuerza, Luis F.
name: Toral, Raul
name: Serrano, M. Angeles
Publisher: name: arXiv
Year: 2013
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: We present a simple and general framework to simulate statistically correct realizations of a system of non-Markovian discrete stochastic processes. We give the exact analytical solution and a practical an efficient algorithm alike the Gillespie algorithm for Markovian processes, with the difference that now the occurrence rates of the events depend on the time elapsed since the event last took place. We use our non-Markovian generalized Gillespie stochastic simulation methodology to investigate the effects of non-exponential inter-event time distributions in the susceptible-infected-susceptible model of epidemic spreading. Strikingly, our results unveil the drastic effects that very subtle differences in the modeling of non-Markovian processes have on the global behavior of complex systems, with important implications for their understanding and prediction. We also assess our generalized Gillespie algorithm on a system of biochemical reactions with time delays. As compared to other existing methods, we find that the generalized Gillespie algorithm is the most general as it can be implemented very easily in cases, like for delays coupled to the evolution of the system, where other algorithms do not work or need adapted versions, less efficient in computational terms.
description: Improvement of the algorithm, new results, and a major reorganization of the paper thanks to our coauthors L. Lafuerza and R. Toral
Periconceptional Mediterranean Diet during Pregnancy on Children’s Health
Creators: name: Çobanoğulları, Havva
name: Ergoren, Mahmut Cerkez
name: Dundar, Munis
name: Bertelli, Matteo
name: Tulay, Pınar
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: During pregnancy, rapid and subtle physiological changes are observed from conception to birth. Nutrition and other lifestyle factors before and during pregnancy have been shown in the literature to influence the health of both mother and child. A healthy and varied diet during pregnancy can provide adequate energy and nutrients for both the mother and the growing fetus. Current research focuses on the periconceptional phase, which includes the early processes of gametogenesis, embryogenesis and placentation. A variety of abnormalities and pregnancy-related problems occur during this period, including congenital defects, fetal loss, miscarriage and preterm birth. A varied and balanced diet during periconception is important to maintain fetal development and growth. To date, numerous studies have been conducted to investigate the effects of consuming different nutrients, foods or food groups during pregnancy on the health of mother and child. For example, the Mediterranean diet is considered as a balanced, nutrient-rich diet due to the low consumption of meat products and fatty foods and the high consumption of vegetables, cheese, olive oil, fish, shellfish and little meat. While many studies have been conducted in the literature to investigate the effects of a Mediterranean diet during pregnancy on fetal health, the results have been inconclusive. The aim of this article is to review the current literature on the Mediterranean diet during pregnancy.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
title: Der Landgraben bei Heimsheim im Enzkreis oder: Ein ganz „normaler" Fall
Creators: name: Lutz, Dietrich
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 8, Nr. 1 (1979), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
Finite temperature effective field theory and two-band superfluidity in Fermi gases
Creators: name: Klimin, S. N.
name: Tempere, J.
name: Lombardi, G.
name: Devreese, J. T.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We develop a description of fermionic superfluids in terms of an effective field theory for the pairing order parameter. Our effective field theory improves on the existing Ginzburg - Landau theory for superfluid Fermi gases in that it is not restricted to temperatures close to the critical temperature. This is achieved by taking into account long-range fluctuations to all orders. The results of the present effective field theory compare well with the results obtained in the framework of the Bogoliubov - de Gennes method. The advantage of an effective field theory over Bogoliubov - de Gennes calculations is that much less computation time is required. In the second part of the paper, we extend the effective field theory to the case of a two-band superfluid. The present theory allows us to reveal the presence of two healing lengths in the two-band superfluids, to analyze the finite-temperature vortex structure in the BEC-BCS crossover, and to obtain the ground state parameters and spectra of collective excitations. For the Leggett mode our treatment provides an interpretation of the observation of this mode in two-band superconductors.
description: 17 pages, 11 figures. In the published version [EPJB 88, 122 (2015)], there is a misprint in expressions (20) and (21). There must be "E_k" instead of "\xi_k" in the arguments of the functions "f_n" in those two formulae. In the present version, this misprint is corrected
Nanometer-Scale Nuclear Magnetic Resonance Diffraction with Sub-Ångstrom Precision
Creators: name: Haas, Holger
name: Tabatabaei, Sahand
name: Rose, William
name: Sahafi, Pardis
name: Piscitelli, Michèle
name: Jordan, Andrew
name: Priyadarsi, Pritam
name: Singh, Namanish
name: Yager, Ben
name: Poole, Philip J.
name: Dalacu, Dan
name: Budakian, Raffi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Achieving atomic resolution is the ultimate limit of magnetic resonance imaging (MRI), and attaining this capability offers enormous technological and scientific opportunities, from drug development to understanding the dynamics in interacting quantum systems. In this work, we present a new approach to nanoMRI utilizing nuclear magnetic resonance diffraction (NMRd) -- a method that extends NMR imaging to probe the structure of periodic spin systems. The realization of NMRd on the atomic scale would create a powerful new methodology for materials characterization utilizing the spectroscopic capabilities of NMR. We describe two experiments that realize NMRd measurement of $^{31}$P spins in an indium-phosphide (InP) nanowire with sub-Ångstrom precision. In the first experiment, we encode a nanometer-scale spatial modulation of the $z$-axis magnetization by periodically inverting the $^{31}$P spins, and detect the period and position of the modulation with a precision of $<0.8$ Å. In the second experiment, we demonstrate an interferometric technique, utilizing NMRd, for detecting an Ångstrom-scale displacement of the InP sample with a precision of 0.07 Å. The diffraction-based techniques developed in this work represent new measurement modalities in NMR for probing the structure and dynamics of spins on sub-Ångstrom length scales, and demonstrate the feasibility of crystallographic MRI measurements.
description: Main text: 11 pages, 8 figures; supplemental material: 20 pages, 15 figures
Effects of the mediterranean diet on the components of metabolic syndrome
Creators: name: Dayi, Taygun
name: Ozgoren, Murat
Publisher: name: Journal of Preventive Medicine and Hygiene
Year: 2022

description: Metabolic syndrome, also as known as Syndrome X or Insulin Resistance Syndrome, is a complex health problem featuring visceral obesity (the main diagnostic criterion), insulin resistance, dyslipidemia and high blood pressure. Currently, this health condition has gained a momentum globally while raising concerns among health-related communities. The World Health Organization, American Heart Association and International Diabetes Federation have formulated diagnostic criteria for metabolic syndrome. Diet and nutrition can influence this syndrome: for example, the Western diet is associated with increased risk of metabolic syndrome, whereas the Nordic and Mediterranean diets and the Dietary Approach to Stop Hypertension are potentially beneficial. The Mediterranean diet can affect the components of metabolic syndrome due to its high dietary fiber, omega 3 and 9 fatty acids, complex carbohydrates, antioxidants, minerals, vitamins and bioactive substances, such as polyphenols. These nutrients and bioactive substances can combat obesity, dyslipidemia, hypertension and diabetes mellitus. The mechanisms by which they do so are generally related to oxidative stress, inflammation (the most common risk factors for metabolic syndrome) and gastrointestinal function. The literature also shows examples of positive effects of the Mediterranean diet on the metabolic syndrome. In this review of the literature, we shed light on the effects, mechanisms and dynamic relationship between the Mediterranean diet and metabolic syndrome.
description: Journal of Preventive Medicine and Hygiene, Vol. 63 No. 2S3 (2022): The secret of Mediterranean food: How “omic” sciences, biochemistry and human physiology can be applied to exploit the secrets of Mediterranean foods
High-resolution Compton spectroscopy using X-ray microcalorimeters
Creators: name: Patel, U.
name: Guruswamy, T.
name: Krzysko, A. J.
name: Charalambous, H.
name: Gades, L.
name: Wiaderek, K.
name: Quaranta, O.
name: Ren, Y.
name: Yakovenko, A.
name: Miceli, A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: X-ray Compton spectroscopy is one of the few direct probes of the electron momentum distribution of bulk materials in ambient and operando environments. We report high-resolution inelastic X-ray scattering experiments with high momentum and energy transfer performed at a storage-ring-based high-energy X-ray light source facility using an X-ray microcalorimeter detector. Compton profiles were measured for lithium and cobalt oxide powders relevant to lithium-ion battery research. Spectroscopic analysis of the measured Compton profiles shows high-sensitivity to the low-Z elements and oxidation states. The lineshape analysis of the measured Compton profiles in comparison with computed Hartree-Fock profiles is limited by the resolution of the energy-resolving semiconductor detector. We have characterized an X-ray transition-edge sensor microcalorimeter detector for high-resolution Compton scattering experiments using a bending magnet source at the Advanced Photon Source (APS) with a double crystal monochromator providing monochromatic photon energies near 27.5 keV. The momentum resolution below 0.16 atomic units was measured yielding an improvement of more than a factor of 7 over a state-of-the-art silicon drift detector for the same scattering geometry. Furthermore, the lineshapes of narrow valence and broad core electron profiles of sealed lithium metal were clearly resolved using an X-ray microcalorimeter detector compared to smeared and broadened lineshapes observed when using a silicon drift detector. High-resolution Compton scattering using the energy-resolving detector shown here presents new opportunities for spatial imaging of electron momentum distributions for a wide class of materials with applications ranging from electrochemistry to condensed matter physics.
description: The following article has been submitted to Applied Physics Letters
title: Brunnenfunde aus dem römischen Kastelldorf bei Buch, Gemeinde Rainau, Ostalbkreis
Creators: name: Planck, Dieter
Publisher: name: University Library Heidelberg
Year: 2014

description: Denkmalpflege in Baden-Württemberg – Nachrichtenblatt der Landesdenkmalpflege, Bd. 8, Nr. 3 (1979), Beginn und Erscheinungsfrequenz: Ausgaben pro Band: 4
High-Quality Electron Beams from Beam-Driven Plasma Accelerators by Wakefield-Induced Ionization Injection
Creators: name: de la Ossa, A. Martinez
name: Grebenyuk, J.
name: Mehrling, T.
name: Schaper, L.
name: Osterhoff, J.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: We propose a new and simple strategy for controlled ionization-induced trapping of electrons in a beam-driven plasma accelerator. The presented method directly exploits electric wakefields to ionize electrons from a dopant gas and capture them into a well-defined volume of the accelerating and focusing wake phase, leading to high-quality witness-bunches. This injection principle is explained by example of three-dimensional particle-in-cell (PIC) calculations using the code OSIRIS. In these simulations a high-current-density electron-beam driver excites plasma waves in the blow-out regime inside a fully-ionized hydrogen plasma of density $5\times10^{17} \mathrm{cm^{-3}}$. Within an embedded $100 \mathrm{μm}$ long plasma column contaminated with neutral helium gas, the wakefields trigger ionization, trapping of a defined fraction of the released electrons, and subsequent acceleration. The hereby generated electron beam features a $1.5 \mathrm{kA}$ peak current, $1.5 \mathrm{μm}$ transverse normalized emittance, an uncorrelated energy spread of 0.3% on a GeV-energy scale, and few femtosecond bunch length.