cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Using sensory cues to curate, study and support autobiographical remembering across the lifespan
Creators: name: Woy, Amy
Publisher: name: University of Westminster
Year: 2020

description: Autobiographical memory is integral to who we are and how we connect with the world around us. One intriguing feature of personal memories is that people typically find it easier to access memories from late adolescence and early adulthood. This phenomenon, the reminiscence bump, has been riddled with inconsistencies in the methodology. This has implications for understanding the underlying mechanisms, which in turn impacts on both the theoretical models of memory and the clinical practices that rely on personal narrative. This programme of research specifically addresses key confounds within the literature by systematically exploring the effect of different task instructions on the temporal location of memories. Study 1 explored secondary data of 55 interview guests from a popular radio programme, in which they chose eight songs to take to a desert island in a free recall setting. Despite no explicit instruction to describe a specific memory, self-selected songs produced a reminiscence bump and particularly included memories of people. Study 2 developed this methodology for an experimental setting and also compared music with tangible stimuli, which produced distinctive retrieval curves. These distinctions may have been due to the wording and order of instructions therefore this was addressed in Study 3. The refined procedure was carried out with an older group, which also directly compared self-selected with experimenter-provided stimuli as memory cues. Self-selected stimuli produced more specific memories overall and once again, the different stimuli evoked memories that reflected distinctive lifespan retrieval curves. Given that the musical reminiscence bump remained reliable in all studies, Study 4 examined this across different choice conditions and cue modalities. Freely chosen music evoked higher nostalgia and a greater number of specific and self-defining memories than music selected from a fixed list. Lastly, Study 5 explored this methodology in an applied setting for an individual with mild cognitive impairment. The findings revealed the positive but unexpected impact of collaborative remembering with a cognitively healthy partner, who facilitated memory retrieval. While the reminiscence bump has been considered a robust finding, these experiments have shown that it is significantly influenced by the nature of retrieval, in particular the degree of choice and cue type. Personally curated cues evoke important memories including those that are self and relationship-defining. This has significant implications for clinical interventions and social policy.
Nonmelanoma skin cancer in inflammatory bowel disease: A review
Creators: name: Long, Millie D.
name: Kappelman, Michael D.
name: Pipkin, Clare A.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: At least 1 million new cases of non-melanoma skin cancer (NMSC) are diagnosed in the United States each year, and the incidence is increasing. A higher incidence of non-melanoma skin cancer (NMSC) in organ transplant recipients on immunosuppression has been documented for some time, and recent studies indicate that patients with inflammatory bowel disease (IBD), particularly those treated with immunosuppressive medications, might also be at higher risk for this condition. In this review, we summarize recent data evaluating the associations between immunomodulators, anti-tumor necrosis factor-α (anti-TNF) biologic agents and NMSC in patients with IBD and other autoimmune conditions such as rheumatoid arthritis (RA). We also offer recommendations for prevention of NMSC in these populations.
Closed-form Continuous-time Neural Models
Creators: name: Hasani, Ramin
name: Lechner, Mathias
name: Amini, Alexander
name: Liebenwein, Lucas
name: Ray, Aaron
name: Tschaikowski, Max
name: Teschl, Gerald
name: Rus, Daniela
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Neural and Evolutionary Computing (cs.NE)
subject: Robotics (cs.RO)
subject: Dynamical Systems (math.DS)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Continuous-time neural processes are performant sequential decision-makers that are built by differential equations (DE). However, their expressive power when they are deployed on computers is bottlenecked by numerical DE solvers. This limitation has significantly slowed down the scaling and understanding of numerous natural physical phenomena such as the dynamics of nervous systems. Ideally, we would circumvent this bottleneck by solving the given dynamical system in closed form. This is known to be intractable in general. Here, we show it is possible to closely approximate the interaction between neurons and synapses -- the building blocks of natural and artificial neural networks -- constructed by liquid time-constant networks (LTCs) efficiently in closed-form. To this end, we compute a tightly-bounded approximation of the solution of an integral appearing in LTCs' dynamics, that has had no known closed-form solution so far. This closed-form solution substantially impacts the design of continuous-time and continuous-depth neural models; for instance, since time appears explicitly in closed-form, the formulation relaxes the need for complex numerical solvers. Consequently, we obtain models that are between one and five orders of magnitude faster in training and inference compared to differential equation-based counterparts. More importantly, in contrast to ODE-based continuous networks, closed-form networks can scale remarkably well compared to other deep learning instances. Lastly, as these models are derived from liquid networks, they show remarkable performance in time series modeling, compared to advanced recurrent models.
description: 40 pages
Dimension Reduction For Outlier Detection Using DOBIN
Creators: name: Kandanaarachchi, Sevvandi
name: Hyndman, Rob J
Publisher: name: Monash University
Year: 2022
Subjects: Econometric and statistical methods
Econometrics not elsewhere classified

description: This paper introduces DOBIN, a new approach to select a set of basis vectors tailored for outlier detection. DOBIN has a solid mathematical foundation and can be used as a dimension reduction tool for outlier detection tasks. We demonstrate the effectiveness of DOBIN on an extensive data repository, by comparing the performance of outlier detection methods using DOBIN and other bases. We further illustrate the utility of DOBIN as an outlier visualization tool. The R package dobin implements this basis construction.
Prevalence and epidemiology of overweight and obesity in children with inflammatory bowel disease 12:
Creators: name: Colletti, Richard B.
name: Leibowitz, Ian H.
name: Kim, Sandra C.
name: Integlia, Mark J.
name: Russell, George
name: Martin, Christopher
name: del Rosario, Fernando
name: Crandall, Wallace V.
name: Duffy, Lynn
name: Ali, Sabina
name: Israel, Esther
name: Patel, Ashish S.
name: Schoen, Bess T.
name: Kappelman, Michael D.
name: Berman, James
name: Grunow, John
name: Herfarth, Hans H.
name: Baron, Howard
name: Long, Millie D.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Obesity is a significant public health threat to children in the United States.
"RUHLAR ISYONI" ASARIDAGI SHOIR TAQDIRIDAGI CHIZGILAR
Creators: name: Norboyeva, Shahnoza
name: Ochilova, Nilufar
Publisher: name: Zenodo
Year: 2023

description: Ushbu maqolada Erkin Vohidovning ,,Ruhlar isyoni" asaridagi bir shoirning umr daftari haqida so'z yuritiladi. Bundan tashqari asar bosh g'oya mazmunini badiiy interpretasiya qilishga qaratilgan bo'lib, urush davrida millat ozodligiga erishish uchun qilgan sa'y-harakatlari tadqiq qilingan.
Kopierbuch für Briefe nach in- und ausländischen Orten im deutschen Sprachgebiet (Copie de lettres allemandes)
Creators: name: Franz Wagner & Cie
Publisher: name: [s.n.]
Year: 1796

description: Darin: Register
description: Deutsch
description: Verzeichnung=Description=Inventaire 2014 ISAD(G) / HAN Katalogisierungsregeln für Archivbestände Sebastian Preher
Risk of diagnosed fractures in children with inflammatory bowel diseases:
Creators: name: Galanko, Joseph A.
name: Sandler, Robert S.
name: Kappelman, Michael D.
name: Porter, Carol Q.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Decreased bone mass is common in children with inflammatory bowel diseases (IBD); however, fracture risk is unknown. We sought to evaluate fracture risk in children with IBD as compared to unaffected controls and determine whether this risk is affected by geographical region (a proxy for sun/vitamin D exposure) and oral steroid use.
Empfehlungs-Buch
Livre des Accrédités
Creators: name: Passavant & Cie
Publisher: name: [s.n.]
Year: 1900

description: Darin: Register, eingeklebte Einlagen
description: Französisch, Deutsch, Englisch
description: Verzeichnung=Description=Inventaire 2022 ISAD(G) / HAN Katalogisierungsregeln für Archivbestände Martin Lüpold
Short pediatric Crohnʼs disease activity index for quality improvement and observational research:
Creators: name: Duffy, Lynn
name: Colletti, Richard B.
name: Goudie, Anthony
name: Margolis, Peter
name: Schoen, Bess T.
name: Patel, Ashish S.
name: Larry, Evette
name: Kappelman, Michael D.
name: Milov, David E.
name: Crandall, Wallace V.
name: Kim, Sandra C.
name: Fairbrother, Gerry
name: Leibowitz, Ian H.
name: Grunow, John
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Practical and objective instruments to assess pediatric Crohn’s disease (CD) activity are required for observational research and quality improvement.
Clemens Hör: Kompositionen zu geistlichen und weltlichen Gesängen
Creators: name: [s.n.]
Publisher: name: [s.n.]
Year: 1550

description: Vier Bände mit geistlichen und weltlichen Gesängen in Latein, Französisch und Deutsch von H. Isaac, Le Brun, Antoine Févin, das meiste anonym. Kompositionen von Clemens Hör. Jeder Band enthält hinten ein Inhaltsverzeichnis, viele Seiten mit leeren Notenlinien. Es fehlt mindestens ein Stimmbuch. Ms Car V 169 a: Tenor. Vorne Widmung an Magister Johannes Fries, Schulmeister in Zürich, 20. März 1553. 106 S. / Ms Car V 169 b: Diskant. 118 S. / Ms Car V 169 c: Zweiter Diskant. 30 S. / Ms Car V 169 d: Bass. 102 S.
Scheinkonten-Bücher (Börsenhandelsbücher?)
Livre des Comptes Simulés Lre B bzw. Lre C
Creators: name: Streckeisen-Caesar, Emanuel
Publisher: name: [s.n.]
Year: 1773

description: Darin: Register, einzelne eingeklebte Einlagen
description: Französisch
description: Verzeichnung=Description=Inventaire 2014 ISAD(G) / HAN Katalogisierungsregeln für Archivbestände Sebastian Preher
Forecast Reconciliation: A geometric View with New Insights on Bias Correction
Creators: name: Panagiotelis, Anastasios
name: Gamakumara, Puwasala
name: Athanasopoulos, George
name: Hyndman, Rob J
Publisher: name: Monash University
Year: 2022
Subjects: Econometric and statistical methods
Econometrics not elsewhere classified

description: A geometric interpretation is developed for so-called reconciliation methodologies used to forecast time series that adhere to known linear constraints. In particular, a general framework is established nesting many existing popular reconciliation methods within the class of projections. This interpretation facilitates the derivation of novel results that explain why and how reconciliation via projection is guaranteed to improve forecast accuracy with respect to a specific class of loss functions. The result is also demonstrated empirically. The geometric interpretation is further used to provide a new proof that forecast reconciliation results in unbiased forecasts provided the initial base forecasts are also unbiased. Approaches for dealing with biased base forecasts are proposed and explored in an extensive empirical study on Australian tourism flows. Overall, the method of bias-correcting before carrying out reconciliation is shown to outperform alternatives that only bias-correct or only reconcile forecasts.
Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset
Creators: name: Hartono, Noor Titan Putri
name: Köbler, Hans
name: Graniero, Paolo
name: Khenkin, Mark
name: Schlatmann, Rutger
name: Ulbrich, Carolin
name: Abate, Antonio
Publisher: name: Freie Universität Berlin
Year: 2023
Subjects: subject: Solar cells
subject: stability
subject: analysis
subject: 300 Sozialwissenschaften::330 Wirtschaft::330 Wirtschaft

description: While perovskite solar cells have reached competitive efficiency values during the last decade, stability issues remain a critical challenge to be addressed for pushing this technology towards commercialisation. In this study, we analyse a large homogeneous dataset of Maximum Power Point Tracking (MPPT) operational ageing data that we collected with a custom-built High-throughput Ageing System in the past 3 years. In total, 2,245 MPPT ageing curves are analysed which were obtained under controlled conditions (continuous illumination, controlled temperature and atmosphere) from devices comprising various lead-halide perovskite absorbers, charge selective layers, contact layers, and architectures. In a high-level statistical analysis, we find a correlation between the maximum reached power conversion efficiency (PCE) and the relative PCE loss observed after 150-hours of ageing, with more efficient cells statistically also showing higher stability. Additionally, using the unsupervised machine learning method self-organising map, we cluster this dataset based on the degradation curve shapes. We find a correlation between the frequency of particular shapes of degradation curves and the maximum reached PCE.
The struggle within: Microbial influences on colorectal cancer:
Creators: name: Arthur, Janelle C.
name: Jobin, Christian
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Recently, an unprecedented effort has been directed at understanding the interplay between chronic inflammation and development of cancer, with the case of inflammatory bowel disease (IBD)-associated colorectal cancer at the forefront of this research endeavor. The last decade has been particularly fertile, with the discovery of numerous innovative paradigms linking various inflammatory, proliferative, and innate and adaptive immune signaling pathways to the development of colorectal cancer. Because of the preponderant role of the intestinal microbiota in the initiation and progression of IBD, recent efforts have been directed at understanding the relationship between bacteria and colorectal cancer. The microbiota and its collective genome, the microbiome, form a diverse and complex ecological community that profoundly impacts intestinal homeostasis and disease states. This review will discuss the differential influence of the microbiota on the development of IBD-associated colorectal cancer and highlight the role of innate immune sensor-dependent as well as -independent mechanisms in this pathology.
Artificial Neural Networks for Galaxy Clustering. Learning from the two-point correlation function of BOSS galaxies
Creators: name: Veronesi, Niccolò
name: Marulli, Federico
name: Veropalumbo, Alfonso
name: Moscardini, Lauro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The increasingly large amount of cosmological data coming from ground-based and space-borne telescopes requires highly efficient and fast enough data analysis techniques to maximise the scientific exploitation. In this work, we explore the capabilities of supervised machine learning algorithms to learn the properties of the large-scale structure of the Universe, aiming at constraining the matter density parameter, Omega m. We implement a new Artificial Neural Network for a regression data analysis, and train it on a large set of galaxy two-point correlation functions in standard cosmologies with different values of Omega m. The training set is constructed from log-normal mock catalogues which reproduce the clustering of the Baryon Oscillation Spectroscopic Survey (BOSS) galaxies. The presented statistical method requires no specific analytical model to construct the likelihood function, and runs with negligible computational cost, after training. We test this new Artificial Neural Network on real BOSS data, finding Omega m=0.309p/m0.008, which is remarkably consistent with standard analysis results.
description: 7 pages, 4 figures, submitted to A&A, Code available at this https URL: https://colab.research.google.com/drive/1zVxY9G5N9SNbsdjNHztVNpEhcTa6DBfu?usp=sharing
Steganography Adaptation Model for Data Security Enhancement in Ad-Hoc Cloud Based V-BOINC Through Deep Learning.pdf
Creators: name: A. Mawgoud, Ahmed
name: TAHA, MOHAMED HAMED N.
name: Kotb, Amira
Publisher: name: figshare
Year: 2022
Subjects: subject: Applied Computer Science
subject: Theoretical Computer Science
subject: 80503 Networking and Communications
subject: FOS: Computer and information sciences
subject: 100503 Computer Communications Networks
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 80303 Computer System Security
subject: 80402 Data Encryption
subject: 100504 Data Communications
subject: 100602 Input, Output and Data Devices

description: Cloud computing’s automation, scalability, and availability were vital features in the early days of digital transformation. Meanwhile, substantial concerns were expressed about cloud security and privacy. Due to the COVID-19 outbreak, several businesses have had serious issues speeding up their cloud migration efforts. This work intends to improve steganography in ad-hoc cloud systems using deep learning. This study is implemented in two phases. Phase 1: The ‘Ad-hoc Cloud System’ concept and deployment method were created using V-BOINC, a tool that allows developers to bypass application-level security checks, the implemented ad-hoc cloud system was compared Amazon AC2 and showed high evaluation rate in some matrices.
 Phase 2: We evaluate the data transmission security in ad-hoc cloud systems using a modified steganography with deep learning usage to replace or enhance an image-hiding system. In this study, the proposed model inputs data/images into the ad-hoc cloud system to guarantee high rate of data/image concealing. Statistically, a systematic steganography model hides lower message detection rates, the proposed deep steganography approach outperformed several attacks in the ad-hoc cloud environment.
Mediterranean diet, cardiovascular health and longevity: Strategies to improve the assessment and interpretation of this dietary pattern in nutritional epidemiology
Creators: name: Tognon, Gianluca
Publisher: name: University of Westminster
Year: 2020

description: Introduction - Adherence to the Mediterranean diet, could reduce the risk of mortality and CVD across the life course. However, its epidemiological instrumentation needs to be contextualized and adapted to local cultures. Moreover, there is evidence that typical dairy products should be disaggregated in the MDS due to divergent health properties. Methods - The Västerbotten Intervention Program (VIP), the Northern Sweden MONICA, the H70 elderly study, the Copenhagen MONICA study, and the IDEFICS EU children study were included. A refined version of the Mediterranean Diet Score (MDS) was calculated from diet histories (H70), FFQs (VIP), and food records (MONICA-Copenhagen) by including foods that better describe the context of a genuine Mediterranean diet (e.g., wholegrain instead of total cereals) and ingredients from mixed dishes. Cox models, adjusted for potential confounders, were used to compare the original and refined MDS and their associations with mortality, CVD incidence, and mortality. Adjusted Cox models were also used to test the association between dairy intakes and the risk of mortality in the VIP and H70 cohorts. Adherence among children was assessed using both FFQ and recall data, and its association with BMI, waist circumference, WtHR, and % fat mass was assessed crosssectionally and longitudinally. Results – The refined MDS, but not the original score, inversely predicted the risk of allcause mortality in the MONICA-Copenhagen (HR = 0.93) and VIP (HR = 0.95) studies, as well as with CVD incidence and CVD mortality in all cohort studies. Stroke incidence and stroke mortality were not associated with both scores. Milk intakes directly predicted all-cause mortality (HR = 1.02, 95% CI: 1.00, 1.05) whereas cheese intakes showed an inverse association with all-cause mortality (HR = 0.94, 95% CI: 0.91, 0.97). Fermented milk intakes showed a borderline significant inverse association with all-cause mortality. The MDS was inversely associated with the risk of overweight and obesity in children with low prevalence of high-adherent children in all countries (< 30%) except Sweden. Discussion and conclusions - The adoption of a Mediterranean-like diet is protective for CVD across the lifespan, and adherence should be increased among children. The sensitivity of assessments evaluating adherence to this pattern can be increased. The results on dairy product intakes suggest differences between milk and cheese, but they should be interpreted cautiously.
Reason Against the Machine: Future Directions for Mass Online Deliberation
Creators: name: Shortall, Ruth
name: Itten, Anatol
name: van der Meer, Michiel
name: Murukannaiah, Pradeep K.
name: Jonker, Catholijn M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Designers of online deliberative platforms aim to counter the degrading quality of online debates. Support technologies such as machine learning and natural language processing open avenues for widening the circle of people involved in deliberation, moving from small groups to "crowd" scale. Numerous design features of large-scale online discussion systems allow larger numbers of people to discuss shared problems, enhance critical thinking, and formulate solutions. We review the transdisciplinary literature on the design of digital mass deliberation platforms and examine the commonly featured design aspects (e.g., argumentation support, automated facilitation, and gamification) that attempt to facilitate scaling up. We find that the literature is largely focused on developing technical fixes for scaling up deliberation, but may neglect the more nuanced requirements of high quality deliberation. Current design research is carried out with a small, atypical segment of the world's population, and much research is still needed on how to facilitate and accommodate different genders or cultures in deliberation, how to deal with the implications of pre-existing social inequalities, how to build motivation and self-efficacy in certain groups, and how to deal with differences in cognitive abilities and cultural or linguistic differences. Few studies bridge disciplines between deliberative theory, design and engineering. As a result, scaling up deliberation will likely advance in separate systemic siloes. We make design and process recommendations to correct this course and suggest avenues for future research
description: Adjusting title and abstract to arxiv metadata
Thiazolidinedione use and ulcerative colitis-related flares: An exploratory analysis of administrative data:
Creators: name: Porter, Carol Q.
name: Stürmer, Til
name: Sandler, Robert S.
name: Kappelman, Michael D.
name: Lund, Jennifer L.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Recent animal studies and clinical trials suggest that thiazolidinediones, a class of oral antidiabetic agents, are efficacious in reducing inflammation, yet no studies have evaluated their effectiveness in preventing flares. We examined the association between thiazolidinedione use and ulcerative colitis (UC)-related flares.
A universal model for the formation energy prediction of inorganic compounds
Creators: name: Liang, Yingzong
name: Chen, Mingwei
name: Wang, Yanan
name: Jia, Huaxian
name: Lu, Tenglong
name: Xie, Fankai
name: Meng, Sheng
name: Liu, Miao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Harnessing the recent advance in data science and materials science, it is feasible today to build predictive models for materials properties. In this study, we employ the data of high-throughput quantum mechanics calculations based on 170,714 inorganic crystalline compounds to train a machine learning model for formation energy prediction. Different from the previous work, our model reaches a fairly good predictive ability (R2=0.982 and MAE=0.07 eVatom-1, DenseNet model) and meanwhile can be universally applied to the large phase space of inorganic materials. The improvement comes from several effective structure-dependent descriptors that are proposed to take the information of electronegativity and structure into account. This model can provide a useful tool to search for new materials in a vast phase space in a fast and cost-effective manner.
Additional file 1 of The prevalence of liver abnormalities in humans due to Schistosoma japonicum by ultrasonography in China: a meta-analysis
Creators: name: Gu, Man-Man
name: Sun, Meng-Tao
name: Zhang, Jie-Ying
name: Yu, Qiu-Fu
name: Lu, Da-Bing
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Additional file 1: Table S1. Preferred reporting items for systematic reviews and meta-analyses checklist.
Hauptbücher
Creators: name: Franz Wagner & Cie
Publisher: name: [s.n.]
Year: 1801

description: In Band Nr. 1 fehlen die (leeren) Blätter 70 rechts bis 76 links, 78 rechts bis 84 links und 86 rechts bis 92 links.
description: Französisch
description: Verzeichnung=Description=Inventaire 2014 ISAD(G) / HAN Katalogisierungsregeln für Archivbestände Sebastian Preher
A High-dimensional Multinomial Choice Model
Creators: name: Nibbering, Didier
Publisher: name: Monash University
Year: 2022
Subjects: Econometric and statistical methods
Econometrics not elsewhere classified

description: The number of parameters in a standard multinomial choice model increases linearly with the number of choice alternatives and number of explanatory variables. Since many modern applications involve large choice sets with categorical explanatory variables, which enter the model as large sets of binary dummies, the number of parameters easily approaches the sample size. This paper proposes a new method for data-driven parameter clustering over outcome categories and explanatory dummy categories in a multinomial probit setting. A Dirichlet process mixture encourages parameters to cluster over the categories, which favours a parsimonious model specification without a priori imposing model restrictions. An application to a dataset of holiday destinations shows a decrease in parameter uncertainty, an enhancement of the parameter interpretability, and an increase in predictive performance, relative to a standard multinomial choice model.
Utilization of healthcare resources by U.S. children and adults with inflammatory bowel disease:
Creators: name: Porter, Carol Q.
name: Kappelman, Michael D.
name: Finkelstein, Jonathan A.
name: Sandler, Robert S.
name: Rifas-Shiman, Sheryl L.
name: Galanko, Joseph A.
name: Ollendorf, Daniel A.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: The inflammatory bowel diseases (IBDs), Crohn’s disease (CD) and ulcerative colitis (UC) affect over 1 million people in the United States, yet little is known about healthcare utilization by affected individuals.
Additional file 2 of The prevalence of liver abnormalities in humans due to Schistosoma japonicum by ultrasonography in China: a meta-analysis
Creators: name: Gu, Man-Man
name: Sun, Meng-Tao
name: Zhang, Jie-Ying
name: Yu, Qiu-Fu
name: Lu, Da-Bing
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Additional file 2: Table S2. Quality assessment results of all included publications.
Derivation of Computational Formulas for certain class of finite sums: Approach to Generating functions arising from $p$-adic integrals and special functions
Creators: name: Simsek, Yilmaz
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 05A15, 11B68, 11B73, 11B83, 26C05, 11S40, 11S80, 33B15, 65D20, 33F05

description: The aim of this paper is to construct generating functions for some families of special finite sums with the aid of the Newton-Mercator series, hypergeometric series, and $p$-adic integral (the Volkenborn integral). By using these generating functions, their functional equations, and their partial derivative equations, many novel computational formulas involving the special finite sums of (inverse) binomial coefficients, the Bernoulli type polynomials and numbers, Euler polynomials and numbers, the Stirling numbers, the (alternating) harmonic numbers, the Leibnitz polynomials and others. Among these formulas, by considering a computational formula which computes the aforementioned certain class of finite sums with the aid of the Bernoulli numbers and the Stirling numbers of the first kind, we present a computation algorithm and we provide some of their special values. Morover, using the aforementioned special finite sums and combinatorial numbers, we give relations among multiple alternating zeta functions, the Bernoulli polynomials of higher order and the Euler polynomials of higher order. We also give decomposition of the multiple Hurwitz zeta functions with the aid of finite sums. Relationships and comparisons between the main results given in the article and previously known results have been criticized. With the help of the results of this paper, the solution of the problem that Charalambides [8, Exercise 30, p. 273] gave in his book was found and with the help of this solution, we also find very new formulas. In addition, the solutions of some of the problems we have raised in [48] are also given.
description: 33
Changing shape of disease: Nonalcoholic fatty liver disease in Crohnʼs disease—A case series and review of the literature:
Creators: name: Jones, Patricia
name: Barritt, Sidney A.
name: Long, Millie D.
name: McGowan, Christopher E.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: With improvements in therapy for inflammatory bowel disease (IBD) and changes in the prevalence of obesity, the phenotype of Crohn's Disease (CD) is changing. These changes may herald an increase in the incidence of non-alcoholic fatty liver disease (NAFLD) in this population.
Engineering, control and longitudinal readout of Floquet qubits
Creators: name: Gandon, Anthony
name: Calonnec, Camille Le
name: Shillito, Ross
name: Petrescu, Alexandru
name: Blais, Alexandre
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Properties of time-periodic Hamiltonians can be exploited to increase the dephasing time of qubits and to design protected one and two-qubit gates. Recently, Huang et al. [Phys. Rev. Applied 15, 034065 (2021)] have shown that time-dependent Floquet states offer a manifold of working points with dynamical protection larger than the few usual static sweet spots. Here, we use the framework of many-mode Floquet theory to describe approaches to robustly control Floquet qubits in the presence of multiple drive tones. Following the same approach, we introduce a longitudinal readout protocol to measure the Floquet qubit without the need of first adiabatically mapping back the Floquet states to the static qubit states, which results in a significant speedup in the measurement time of the Floquet qubit. The analytical approach developed here can be applied to any Hamiltonian involving a small number of distinct drive tones, typically the study of standard parametric gates for qubits outside of the rotating-wave approximation.
description: 10 pages, 6 figures
FAIR Assessment Tools Overview
Creators: name: Lang, Kevin
name: Assmann, Cora
name: Neute, Nadine
name: Gerlach, Roman
name: Rex, Jessica
Publisher: name: Zenodo
Year: 2023
Subjects: fair
fair assessment
fair assessment tools
poster
overview
list
evaluation
dataset

description: English:

This overview presents a selection of FAIR assessment tools. The categories also use the acronym FAIR but stand for: Fully Configurable Tools, Automatic Tools, Improved Survey Tools and Regular List Tools. The classification of tools into these categories is not always 100% clear, especially when certain properties overlap. In preparation for the poster, an evaluation of all known FAIR assessment tools was carried out between July 2022 and February 2023. Each tool was evaluated by three independent people. The categories used included the time taken to carry out the FAIR assessment, the presence of feedback and the required prior knowledge. With regard to the technical specifics, the research revealed that only generic tools are currently on offer.

The poster was created for the "3. Sächsische FDM-Tagung" and the "E-Science-Tage 2023".

Following tools weren't evaluated:

FAIRdat (unfinished, beta version of SATISFYD?)

FAIR-Aware (awarenness, not evaluation questions for dataset)

Files:

Poster as PDF

Data as XLSX (full table) or CSV (split in data and codebook file)

-------------------------------------------

German:

Diese Übersicht stellt eine Auswahl von FAIR Assessment Tools vor. Die verwendeten Kategorien nutzen ebenfalls das Akronym FAIR stehen hier aber für: Fully Configurable Tools, Automatic Tools, Improved Survey Tools und Regular List Tools. Die Einordnung der Werkzeuge in diese Kategorien ist nicht immer hundertprozentig eindeutig, besonders, wenn sich bestimmte Eigenschaften überschneiden. In der Vorbereitung des Posters wurde zwischen Juli 2022 und Februar 2023 eine Auswertung aller bekannten FAIR Assessment Tools vorgenommen. Jedes Werkzeug wurde von drei unabhängigen Personen bewertet. Die verwendeten Kategorien waren unter anderem die Zeit zur Durchführung des FAIR Assessments, das Vorhandensein von Feedback und die vorausgesetzten Kenntnisse. In Bezug auf die Fachspezifik ergab die Recherche, dass zurzeit ausschließlich generische Werkzeuge angeboten werden.

Das Poster wurde für die Veranstaltung "3. Sächsische FDM-Tagung" und die " E-Science-Tage 2023 "erstellt.

Folgende Werkzeuge wurden nicht evaluiert:

FAIRdat (unfertig, beta-Version von SATISFYD?)

FAIR-Aware (Bewusstseinsfragen, nicht für Datensatz)

Dateien:

Poster als PDF

Datensatz als XLSX (ganze Tabelle) oder CSV (aufgespalten in Daten und Codebuch)
description: Version 2.1: added "CSIRO 5-star Data Rating tool" and "FAIR Enough" tool to evaluation, removed old files
Anomaly Detection in High Dimensional Data
Creators: name: Talagala, Priyanga Dilini
name: Hyndman, Rob J
name: Smith-Miles, Kate
Publisher: name: Monash University
Year: 2022
Subjects: Econometric and statistical methods
Econometrics not elsewhere classified

description: The HDoutliers algorithm is a powerful unsupervised algorithm for detecting anomalies in high-dimensional data, with a strong theoretical foundation. However, it suffers from some limitations that significantly hinder its performance level, under certain circumstances. In this article, we propose an algorithm that addresses these limitations. We define an anomaly as an observation that deviates markedly from the majority with a large distance gap. An approach based on extreme value theory is used for the anomalous threshold calculation. Using various synthetic and real datasets, we demonstrate the wide applicability and usefulness of our algorithm, which we call the stray algorithm. We also demonstrate how this algorithm can assist in detecting anomalies present in other data structures using feature engineering. We show the situations where the stray algorithm outperforms the HDoutliers algorithm both in accuracy and computational time. This framework is implemented in the open source R package stray.
Worksheet - Blood Borne Pathogens
Creators: name: Mehrotra, Dr
Publisher: name: QUBES Educational Resources
Year: 2025

description: Bloodborne pathogens (BBPs) are the major infectious micro-organisms present in human blood, body fluids and in cuts & wounds which may lead to health hazard and diseases for example - Human Immunodeficiency Virus (HIV), which leads to AIDS; Hepatitis B Virus (HBV), known for causing liver inflammation and chronic disease; and Hepatitis C Virus (HCV), which can result in chronic liver infections. The transmission of the viruses can occur primarily due to contact with infected blood, the injuries due to needlestick, sharps and the sexual contact. Also, the fluids such as blood, semen, vaginal, sweat, saliva however the degree of risk is different. In addition, the transmission can be prevented by using personal protective equipment (PPE), vaccinations (notably for HBV), undergo training on safety protocols, washing the wounds, medical attention. Finally understanding BBPs is also important for preventing health hazards and also adherence to preventive measures which can significantly reduce the risk of transmission in many diverse working environments.
FAIR Assessment Tools Overview
Creators: name: Lang, Kevin
name: Assmann, Cora
name: Neute, Nadine
name: Gerlach, Roman
name: Rex, Jessica
Publisher: name: Zenodo
Year: 2022
Subjects: fair
fair assessment
fair assessment tools
poster
overview
list
evaluation
dataset

description: English: This overview presents a selection of FAIR assessment tools. The categories also use the acronym FAIR but stand for: Fully Configurable Tools, Automatic Tools, Improved Survey Tools and Regular List Tools. The classification of tools into these categories is not always 100% clear, especially when certain properties overlap. In preparation for the poster, an evaluation of all known FAIR assessment tools was carried out between July and August 2022. Each tool was evaluated by three independent people. The categories used included the time taken to carry out the FAIR assessment, the presence of feedback and the required prior knowledge. With regard to the technical specifics, the research revealed that only generic tools are currently on offer. The poster was created for the "3. Sächsische FDM-Tagung". Following tools weren't evaluated: FAIRdat (unfinished, beta version of SATISFYD?) FAIR-Aware (awarenness, not evaluation questions for dataset) 5-Star Data Rating Tool (inaccessible) Files: Poster as PDF Data as XLSX or ODS (full table) or CSV (split in data and codebook file) ------------------------------------------- German: Diese Übersicht stellt eine Auswahl von FAIR Assessment Tools vor. Die verwendeten Kategorien nutzen ebenfalls das Akronym FAIR stehen hier aber für: Fully Configurable Tools, Automatic Tools, Improved Survey Tools und Regular List Tools. Die Einordnung der Werkzeuge in diese Kategorien ist nicht immer hundertprozentig eindeutig, besonders, wenn sich bestimmte Eigenschaften überschneiden. In der Vorbereitung des Posters wurde zwischen Juli und August 2022 eine Auswertung aller bekannten FAIR Assessment Tools vorgenommen. Jedes Werkzeug wurde von drei unabhängigen Personen bewertet. Die verwendeten Kategorien waren unter anderem die Zeit zur Durchführung des FAIR Assessments, das Vorhandensein von Feedback und die vorausgesetzten Kenntnisse. In Bezug auf die Fachspezifik ergab die Recherche, dass zurzeit ausschließlich generische Werkzeuge angeboten werden. Das Poster wurde für die Veranstaltung "3. Sächsische FDM-Tagung" erstellt. Folgende Werkzeuge wurden nicht evaluiert: FAIRdat (unfertig, beta-Version von SATISFYD?) FAIR-Aware (Bewusstseinsfragen, nicht für Datensatz) 5-Star Data Rating Tool (nicht erreichbar) Dateien: Poster als PDF Datensatz als XLSX oder ODS (ganze Tabelle) oder CSV (aufgespalten in Daten und Codebuch)
Contribution of higher risk genes and European admixture to Crohnʼs disease in African Americans:
Creators: name: Torbenson, Michael S.
name: Isaacs, Kim L.
name: Lewis, James D.
name: Rioux, John D.
name: Wu, Yuqiong
name: Okazaki, Toshihiko
name: Kugathasan, Subra
name: Wang, Ming-Hsi
name: Taylor, Kent D.
name: Valentine, John F.
name: Ford, Jean G.
name: Cuffari, Carmen
name: Smoot, Duane T.
name: Oliva-Hemker, Maria
name: Cho, Judy H.
name: Brant, Steven R.
name: Kader, Howard A.
name: Datta, Lisa W.
name: Dassopoulos, Themistocles
name: Duerr, Richard H.
name: Kao, Linda W.H.
name: Hooker, Stanley
name: Harris, Mary L.
name: Kittles, Rick A.
name: Nguyen, Geoffrey C.
name: Silverberg, Mark S.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: African Americans (AA) are an admixed population of West African (WA) and European ancestry (EA). Crohn's disease (CD) susceptibility genes have not been established. We therefore evaluated the contribution of European admixture and major established risk genes to AA CD.
FAIR Assessment Tools Overview
Creators: name: Lang, Kevin
name: Assmann, Cora
name: Neute, Nadine
name: Gerlach, Roman
name: Rex, Jessica
Publisher: name: Zenodo
Year: 2023
Subjects: fair
fair assessment
fair assessment tools
poster
overview
list
evaluation
dataset

description: English: This overview presents a selection of FAIR assessment tools. The categories also use the acronym FAIR but stand for: Fully Configurable Tools, Automatic Tools, Improved Survey Tools and Regular List Tools. The classification of tools into these categories is not always 100% clear, especially when certain properties overlap. In preparation for the poster, an evaluation of all known FAIR assessment tools was carried out between July 2022 and February 2023. Each tool was evaluated by three independent people. The categories used included the time taken to carry out the FAIR assessment, the presence of feedback and the required prior knowledge. With regard to the technical specifics, the research revealed that only generic tools are currently on offer. The poster was created for the "3. Sächsische FDM-Tagung" and the "E-Science-Tage 2023". Following tools weren't evaluated: FAIRdat (unfinished, beta version of SATISFYD?) FAIR-Aware (awarenness, not evaluation questions for dataset) Files: Poster as PDF Data as XLSX (full table) or CSV (split in data and codebook file) ------------------------------------------- German: Diese Übersicht stellt eine Auswahl von FAIR Assessment Tools vor. Die verwendeten Kategorien nutzen ebenfalls das Akronym FAIR stehen hier aber für: Fully Configurable Tools, Automatic Tools, Improved Survey Tools und Regular List Tools. Die Einordnung der Werkzeuge in diese Kategorien ist nicht immer hundertprozentig eindeutig, besonders, wenn sich bestimmte Eigenschaften überschneiden. In der Vorbereitung des Posters wurde zwischen Juli 2022 und Februar 2023 eine Auswertung aller bekannten FAIR Assessment Tools vorgenommen. Jedes Werkzeug wurde von drei unabhängigen Personen bewertet. Die verwendeten Kategorien waren unter anderem die Zeit zur Durchführung des FAIR Assessments, das Vorhandensein von Feedback und die vorausgesetzten Kenntnisse. In Bezug auf die Fachspezifik ergab die Recherche, dass zurzeit ausschließlich generische Werkzeuge angeboten werden. Das Poster wurde für die Veranstaltung "3. Sächsische FDM-Tagung" und die " E-Science-Tage 2023 "erstellt. Folgende Werkzeuge wurden nicht evaluiert: FAIRdat (unfertig, beta-Version von SATISFYD?) FAIR-Aware (Bewusstseinsfragen, nicht für Datensatz) Dateien: Poster als PDF Datensatz als XLSX (ganze Tabelle) oder CSV (aufgespalten in Daten und Codebuch)
description: added "CSIRO 5-star Data Rating tool" and "FAIR Enough" tool to evaluation
Narcotic use for inflammatory bowel disease and risk factors during hospitalization:
Creators: name: Herfarth, Hans H.
name: Long, Millie D.
name: Barnes, Edward L.
name: Drossman, Douglas A.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Growing evidence demonstrates adverse effects of narcotics in inflammatory bowel disease (IBD). We sought to study the relationship between narcotic use, objective measures of disease activity and other associated factors in hospitalized patients with IBD.
Existence of a periodic solution for superlinear second order ODEs
Creators: name: Gidoni, Paolo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 34C25 (primary), 37C25, 37E45 (secondary)

description: We prove a necessary and sufficient condition for the existence of a $T$-periodic solution for the time-periodic second order differential equation $\ddot{x}+f(t,x)+p(t,x,\dot x)=0$, where $f$ grows superlinearly in $x$ uniformly in time, while $p$ is bounded. Our method is based on a fixed-point theorem which uses the rotational properties of the dynamics.