cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Between Privilege and Oppression: An Intersectional Analysis of Active Transportation Experiences Among Washington D.C. Area Youth
Creators: name: Roberts, Jennifer D.
name: Mandic, Sandra
name: Fryer, Craig S.
name: Brachman, Micah L.
name: Ray, Rashawn
Publisher: name: MDPI
Year: 2019
Subjects: active transportation
PEAT Study
transportation inequity
youth of color

description: The use of active transportation (AT), such as walking, cycling, or even public transit, as a means of transport offers an opportunity to increase youth physical activity and improve health. Despite the well-known benefits of AT, there are environmental and social variables that converge on the AT experiences of low-income youth and youth of color (YOC) that have yet to be fully uncovered. This study uses an intersectional framework, largely focusing on the race-gender-class trinity, to examine youth AT within a context of transportation inequity. Theoretically guided by the Ecological Model of Active Transportation, focus groups were completed with two groups of girls (15 participants) and two groups of boys (nine participants) ranging between the ages of 12–15 years who lived within the Washington D.C. area. This research found race, gender, and class to be inhibitors of AT for both boys and girls, but with more pronounced negative influences on girls.
Additional file 4 of NFATc2-dependent epigenetic upregulation of CXCL14 is involved in the development of neuropathic pain induced by paclitaxel
Creators: name: Liu, Meng
name: Zhang, Su-Bo
name: Luo, Yu-Xuan
name: Yang, Yan-Ling
name: Zhang, Xiang-Zhong
name: Li, Bo
name: Meng, Yan
name: Chen, Yuan-Jie
name: Guo, Rui-Xian
name: Xiong, Yuan-Chang
name: Xin, Wen-Jun
name: Li, Dai
Publisher: name: figshare
Year: 2020
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Computational Biology

description: Table S3. The examined sequence and primer. (DOC 1 kb)
Data-driven prediction of turbulent flow statistics past bridge piers in large-scale rivers using convolutional neural networks
Creators: name: Khosronejad, Ali
Publisher: name: Zenodo
Year: 2021

description: The machine learning codes (in Python) are uploaded. These codes can be used for: 1- first-order flow statistics prediction; 2- second-order flow statistics predictions; and 3- flow predictions by considering the "divergence-free" constraint. A series of sample training datasets are also included as " trainingdata.zip". Plus, some sample results (prediction results) are placed in "resultdata.zip." Below, we explain how to use each of these codes: The codes here works in the following steps:
 1. run readdata.py to preprocess data from ASCII tecplot format to binary numpy format.
 this step can be skipped since all data are prepared in ./train, ./test and ./check
 2. run main.py to train the CNN for u, v, w components separately.
 3. run check.py to run the trained model and output the predictions.
 4. run fluctuation.py to calculate u', v', w' for second-order statistics code. contents in subfolders:
 flc1 --u' v' w' data
 input --input data of CNN, instantaneous flow fields
 target --LES flow fields, target for training and testing
 output --CNN predictions
title: Συγκριτική ανάλυση αλγορίθμων ασαφούς λογικής για τον έλεγχο χημικού αντιδραστήρα συνεχούς λειτουργίας με πλήρη ανάμειξη
Creators: name: Μαραγκουδάκης Πέτρος
Publisher: name: Technical University of Crete
Year: 2001

description: Μη διαθέσιμο
A cross-cohort replicable and heritable latent dimension linking behaviour to multi-featured brain structure.
Creators: name: Nicolaisen-Sobesky, Eliana
name: Mihalik, Agoston
name: Kharabian-Masouleh, Shahrzad
name: Ferreira, Fabio S
name: Hoffstaedter, Felix
name: Schwender, Holger
name: Maleki Balajoo, Somayeh
name: Valk, Sofie L
name: Eickhoff, Simon B
name: Yeo, BT Thomas
name: Mourao-Miranda, Janaina
name: Genon, Sarah
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Article
/631/378/2649
/631/477/2811
/59/57
article

description: Identifying associations between interindividual variability in brain structure and behaviour requires large cohorts, multivariate methods, out-of-sample validation and, ideally, out-of-cohort replication. Moreover, the influence of nature vs nurture on brain-behaviour associations should be analysed. We analysed associations between brain structure (grey matter volume, cortical thickness, and surface area) and behaviour (spanning cognition, emotion, and alertness) using regularized canonical correlation analysis and a machine learning framework that tests the generalisability and stability of such associations. The replicability of brain-behaviour associations was assessed in two large, independent cohorts. The load of genetic factors on these associations was analysed with heritability and genetic correlation. We found one heritable and replicable latent dimension linking cognitive-control/executive-functions and positive affect to brain structural variability in areas typically associated with higher cognitive functions, and with areas typically associated with sensorimotor functions. These results revealed a major axis of interindividual behavioural variability linking to a whole-brain structural pattern.
Machine Learning for Projecting Extreme Precipitation Intensity for Short Durations in a Changing Climate
Creators: name: Hu, Huiling
name: Ayyub, Bilal M.
Publisher: name: MDPI
Year: 2019
Subjects: extreme precipitation
machine learning
downscaling
IDF curve

description: Climate change is one of the prominent factors that causes an increased severity of extreme precipitation which, in turn, has a huge impact on drainage systems by means of flooding. Intensity–duration–frequency (IDF) curves play an essential role in designing robust drainage systems against extreme precipitation. It is important to incorporate the potential threat from climate change into the computation of IDF curves. Most existing works that have achieved this goal were based on Generalized Extreme Value (GEV) analysis combined with various circulation model simulations. Inspired by recent works that used machine learning algorithms for spatial downscaling, this paper proposes an alternative method to perform projections of precipitation intensity over short durations using machine learning. The method is based on temporal downscaling, a downscaling procedure performed over the time scale instead of the spatial scale. The method is trained and validated using data from around two thousand stations in the US. Future projection of IDF curves is calculated and discussed.
The vilability and economics of townships economies
Creators: name: Edgars, Prof Tal
Publisher: name: figshare
Year: 2023
Subjects: Sub-Saharan African history
Behavioural economics
Econometric and statistical methods
Sociological methodology and research methods
African literature

description: Townships have a long and complicated history in South Africa. Before 1994, the townships were forced to function outside of the mainstream economy and so were a major tool in the racial segregation and economic marginalisation of black people. After 1994, the institutionalised system of racial segregation came to a formal end and the government has since worked to integrate the townships into the formal economy. However, the formal disbandment of the previous system did not eliminate these underdeveloped, (typically) urban residential areas located on the outskirts of metropolitan areas.
 Currently there are over 500 townships in the country, whose combined land mass surpasses that of Johannesburg and Durban combined and which are home to an estimated 40% of South Africa’s urban population. Much like the rest of the country, townships are plagued with high unemployment rates.
 Most township businesses are necessity-based and unable to grow beyond a store front or small-scale operation. Additionally, these businesses tend to operate informally, with low financial and employment returns. The World Bank estimates that only 15% of township enterprises are formally registered, compared with 30% of similar enterprises in urban areas, and they generally do not provide goods or services that reach larger markets or create quality jobs.
 Despite these characteristics, governments at various levels have focused on leveraging township communities, and the entrepreneurs and small businesses that operate within them, to support economic growth at the provincial and national levels. Initiatives have been implemented over the last few decades to support township small businesses, though many of these efforts have been criticised as only improving townships at a superficial level, rather than an ecosystem level. The ineffectiveness of these interventions is evidenced by the stagnant state of the overall South African MSME sector over the past decade, as the total number of MSMEs in the country dropped by nearly 300,000 between 2008 and 2017.
Reports of the Select Committee of the Senate on the Affairs of Trinity Church : with the testimony relative thereto
Creators: name: (:Unav)
Publisher: name: Columbia University
Year: 1857
Subjects: Church and state--New York (State)

description: This document is a combination of the two reports of the committee. The first report, entitled Report of the Select Committee on the Report of Trinity Church, made in 1855, was dated January 29, 1857 and printed as N.Y.S. Senate Document 1857, no. 46. The second report, entitled Report of the Select Committee appointed by the Senate, in relation to the affairs of Trinity Church, was dated March 13, 1857 and printed as N.Y.S. Senate Document 1857, no. 95
title: Three-body spectrum in a finite volume: The role of cubic symmetry
Creators: name: Döring, Michael
name: Hammer, Hans-Werner
name: Mai, Maxim
name: Pang, J.-Y.
name: Rusetsky, Akaki
name: Wu, J.
Publisher: name: American Physical Society
Year: 2022

description: The three-particle quantization condition is partially diagonalized in the center-of-mass frame by using cubic symmetry on the lattice. To this end, instead of spherical harmonics, the kernel of the BetheSalpeter equation for particle-dimer scattering is expanded in the basis functions of different irreducible representations of the octahedral group. Such a projection is of particular importance for the three-body problem in the finite volume due to the occurrence of three-body singularities above breakup. Additionally, we study the numerical solution and properties of such a projected quantization condition in a simple model. It is shown that, for large volumes, these solutions allow for an instructive interpretation of the energy eigenvalues in terms of bound and scattering states.
Arbitrage Free Approximations to Candidate Volatility Surface Quotations
Creators: name: Madan, Dilip B.
name: Schoutens, Wim
Publisher: name: MDPI
Year: 2019
Subjects: bilateral gamma
fast Fourier transform
sato process
matrix exponentials

description: It is argued that the growth in the breadth of option strikes traded after the financial crisis of 2008 poses difficulties for the use of Fourier inversion methodologies in volatility surface calibration. Continuous time Markov chain approximations are proposed as an alternative. They are shown to be adequate, competitive, and stable though slow for the moment. Further research can be devoted to speed enhancements. The Markov chain approximation is general and not constrained to processes with independent increments. Calibrations are illustrated for data on 2695 options across 28 maturities for 𝑆𝑃𝑌 as at 8 February 2018.
Census Tract Food Tweets and Chronic Disease Outcomes in the U.S., 2015–2018
Creators: name: Huang, Yuru
name: Huang, Dina
name: Nguyen, Quynh C.
Publisher: name: MDPI
Year: 2019
Subjects: Twitter
food environment
chronic disease

description: There is a growing recognition of social media data as being useful for understanding local area patterns. In this study, we sought to utilize geotagged tweets—specifically, the frequency and type of food mentions—to understand the neighborhood food environment and the social modeling of food behavior. Additionally, we examined associations between aggregated food-related tweet characteristics and prevalent chronic health outcomes at the census tract level. We used a Twitter streaming application programming interface (API) to continuously collect ~1% random sample of public tweets in the United States. A total of 4,785,104 geotagged food tweets from 71,844 census tracts were collected from April 2015 to May 2018. We obtained census tract chronic disease outcomes from the CDC 500 Cities Project. We investigated associations between Twitter-derived food variables and chronic outcomes (obesity, diabetes and high blood pressure) using the median regression. Census tracts with higher average calories per tweet, less frequent healthy food mentions, and a higher percentage of food tweets about fast food had higher obesity and hypertension prevalence. Twitter-derived food variables were not predictive of diabetes prevalence. Food-related tweets can be leveraged to help characterize the neighborhood social and food environment, which in turn are linked with community levels of obesity and hypertension.
title: Σχεδιασμός και υλοποίηση της χωροθέτησης σταθμών βάσης με μικροκυψέλες για την ανάπτυξη δικτύου κινητής τηλεφωνίας
Creators: name: Καινουργιάκης Γιώργος
Publisher: name: Technical University of Crete
Year: 2002

description: Μη διαθέσιμο
Remote versus face-to-face neuropsychological testing for dementia research: a comparative study in people with Alzheimer's disease, frontotemporal dementia and healthy older individuals.
Creators: name: Requena-Komuro, Maï-Carmen
name: Jiang, Jessica
name: Dobson, Lucianne
name: Benhamou, Elia
name: Russell, Lucy
name: Bond, Rebecca L
name: Brotherhood, Emilie V
name: Greaves, Caroline
name: Barker, Suzie
name: Rohrer, Jonathan D
name: Crutch, Sebastian J
name: Warren, Jason D
name: Hardy, Chris Jd
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Neurology
1506
2474
1713
Dementia
Telemedicine
Adult neurology

description: Peer reviewed: True
description: Acknowledgements: We are grateful to all participants for their involvement.
description: OBJECTIVES: We explored whether adapting neuropsychological tests for online administration during the COVID-19 pandemic was feasible for dementia research. DESIGN: We used a longitudinal design for healthy controls, who completed face-to-face assessments 3-4 years before remote assessments. For patients, we used a cross-sectional design, contrasting a prospective remote cohort with a retrospective face-to-face cohort matched for age/education/severity. SETTING: Remote assessments were conducted using video-conferencing/online testing platforms, with participants using a personal computer/tablet at home. Face-to-face assessments were conducted in testing rooms at our research centre. PARTICIPANTS: The remote cohort comprised 25 patients (n=8 Alzheimer's disease (AD); n=3 behavioural variant frontotemporal dementia (bvFTD); n=4 semantic dementia (SD); n=5 progressive non-fluent aphasia (PNFA); n=5 logopenic aphasia (LPA)). The face-to-face patient cohort comprised 64 patients (n=25 AD; n=12 bvFTD; n=9 SD; n=12 PNFA; n=6 LPA). Ten controls who previously participated in face-to-face research also took part remotely. OUTCOME MEASURES: The outcome measures comprised the strength of evidence under a Bayesian framework for differences in performances between testing environments on general neuropsychological and neurolinguistic measures. RESULTS: There was substantial evidence suggesting no difference across environments in both the healthy control and combined patient cohorts (including measures of working memory, single-word comprehension, arithmetic and naming; Bayes Factors (BF)01 >3), in the healthy control group alone (including measures of letter/category fluency, semantic knowledge and bisyllabic word repetition; all BF01 >3), and in the combined patient cohort alone (including measures of working memory, episodic memory, short-term verbal memory, visual perception, non-word reading, sentence comprehension and bisyllabic/trisyllabic word repetition; all BF01 >3). In the control cohort alone, there was substantial evidence in support of a difference across environments for tests of visual perception (BF01=0.0404) and monosyllabic word repetition (BF01=0.0487). CONCLUSIONS: Our findings suggest that remote delivery of neuropsychological tests for dementia research is feasible.
title: Προσδιορισμός των ζωνών ρύπανσης Na, Mg, Cl-, NO3 και SO4 των υπογείων υδάτων της περί-αστικής περιοχής της πόλεως Χίου, νήσου Χίου με χρήση μοντέλου υπόγειας ροής και μεταφοράς μάζας
Creators: name: Φυτίλης Νικόλαος
Publisher: name: Technical University of Crete
Year: 2007

description: Μη διαθέσιμο
title: Μελέτη επαναλειτουργίας μικρού υδροηλεκτρικού σταθμού στις Καλύβες του δήμου Αρμένων
Creators: name: Δημάρης Γεώργιος
Publisher: name: Technical University of Crete
Year: 2007

description: Μη διαθέσιμο
A Mapping Framework to Characterize Land Use in the Sudan-Sahel Region from Dense Stacks of Landsat Data
Creators: name: Sedano, Fernando
name: Molini, Vasco
name: Azad, M. Abdul Kalam
Publisher: name: MDPI
Year: 2019
Subjects: land degradation
Landsat
medium resolution
land use/cover change
agriculture
multi temporal
Sudan-Sahel region

description: We developed a land cover and land use mapping framework specifically designed for agricultural systems of the Sudan-Sahel region. The mapping approach extracts information from inter- and intra-annual vegetation dynamics from dense stacks of Landsat 8 images. We applied this framework to create a 30 m spatial resolution land use map with a focus on agricultural landscapes of northern Nigeria for 2015. This map provides up-to-date information with a higher level of spatial and thematic detail resulting in a more precise characterization of agriculture in the region. The map reveals that agriculture is the main land use in the region. Arable land represents on average 52.5% of the area, higher than the reported national average for Nigeria (38.4%). Irrigated agriculture covers nearly 2.2% of the total area, reaching nearly 20% of the cultivated land when traditional floodplain agriculture systems are included, above the reported national average (0.63%). There is significant variability in land use within the region. Cultivated land in the northern section can reach values higher than 75%, most land suitable for agriculture is already under cultivation and there is limited land for future agricultural expansion. Marginal lands, not suitable for permanent agriculture, can reach 30% of the land at lower altitudes in the northeast and northwest. In contrast, the southern section presents lower land use intensity that results in a complex landscape that intertwines areas farms and larger patches of natural vegetation. This map improves the spatial detail of existing sources of LCLU information for the region and provides updated information of the current status of its agricultural landscapes. This study demonstrates the feasibility of multi temporal medium resolution remote sensing data to provide detailed and up-to-date information about agricultural systems in arid and sub arid landscapes of the Sahel region.
The predictive value of abnormal P-wave axis for the detection of incident atrial fibrillation: A systematic review with meta-analysis.
Creators: name: Chattopadhyay, Rahul Kumar
name: Chousou, Panagiota Anna
name: Mukherjee, Trisha
name: Pugh, Peter John
name: Vassiliou, Vassilios S
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: subject: Research Article
subject: Medicine and health sciences
subject: Research and analysis methods
subject: Physical sciences
subject: FOS: Physical sciences
subject: Science policy

description: INTRODUCTION: There is growing interest in the prediction of incident atrial fibrillation (AF). The 12-lead electrocardiogram (ECG) has been a particularly rich target for possible prediction strategies. PURPOSE: The P-wave axis is an ECG parameter that reflects the dominant vector of atrial depolarisation and is usually 0° -75°. There is a large body of literature suggesting that AF reflects structural and conduction abnormalities of the atria, and thus the P-wave axis may represent a sensitive parameter to detect such changes. METHODS: A systematic review and meta-analysis of published literature associating abnormal P-wave axis and the development of incident AF was performed. Electronic databases were systematically searched from inception to October 2021. A random-effects model with generic inverse variance weights was utilised to pool the most adjusted effect measure from each paper. A funnel plot was used to assess publication bias. RESULTS: After excluding duplicate studies, 568 studies were screened. A total of eleven studies were identified that associated an abnormal P-wave axis with the subsequent detection of AF. The eight studies that considered abnormal P-wave axis as being <0° or >75° were pooled for meta-analysis. In the pooled studies a total of 78,222 patients were included with 5656 cases of incident atrial fibrillation identified. The meta-analysis of the studies suggested that an abnormal P-wave axis was associated with a pooled risk ratio of 2.12 (95% CI 1.49 to 3.01) for the detection of incident atrial fibrillation. CONCLUSION: This comprehensive systematic review and meta-analysis, indicates the positive association of abnormal P wave axis and future detection of AF. Utilisation of abnormal P-wave axis, alongside other parameters, may allow clinicians to better risk-stratify individuals at increased risk of AF, and thus identify those who may benefit most from prolonged cardiac monitoring or targeted anticoagulation.
A Method for Landsat and Sentinel 2 (HLS) BRDF Normalization
Creators: name: Franch, Belen
name: Vermote, Eric
name: Skakun, Sergii
name: Roger, Jean-Claude
name: Masek, Jeffrey
name: Ju, Junchang
name: Villaescusa-Nadal, Jose Luis
name: Santamaria-Artigas, Andres
Publisher: name: MDPI
Year: 2019
Subjects: HLS
Landsat
Sentinel 2
BRDF
albedo
SURFRAD
OzFlux

description: The Harmonized Landsat/Sentinel-2 (HLS) project aims to generate a seamless surface reflectance product by combining observations from USGS/NASA Landsat-8 and ESA Sentinel-2 remote sensing satellites. These satellites’ sampling characteristics provide nearly constant observation geometry and low illumination variation through the scene. However, the illumination variation throughout the year impacts the surface reflectance by producing higher values for low solar zenith angles and lower reflectance for large zenith angles. In this work, we present a model to derive the bidirectional reflectance distribution function (BRDF) normalization and apply it to the HLS product at 30 m spatial resolution. It is based on the BRDF parameters estimated from the MODerate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product (M{O,Y}D09) at 1 km spatial resolution using the VJB method (Vermote et al., 2009). Unsupervised classification (segmentation) of HLS images is used to disaggregate the BRDF parameters to the HLS spatial resolution and to build a BRDF parameters database at HLS scale. We first test the proposed BRDF normalization for different solar zenith angles over two homogeneous sites, in particular one desert and one Peruvian Amazon forest. The proposed method reduces both the correlation with the solar zenith angle and the coefficient of variation (CV) of the reflectance time series in the red and near infrared bands to 4% in forest and keeps a low CV of 3% to 4% for the deserts. Additionally, we assess the impact of the view zenith angle (VZA) in an area of the Brazilian Amazon forest close to the equator, where impact of the angular variation is stronger because it occurs in the principal plane. The directional reflectance shows a strong dependency with the VZA. The current HLS BRDF correction reduces this dependency but still shows an under-correction, especially in the near infrared, while the proposed method shows no dependency with the view angles. We also evaluate the BRDF parameters using field surface albedo measurements as a reference over seven different sites of the US surface radiation budget observing network (SURFRAD) and five sites of the Australian OzFlux network.
A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations.
Creators: name: Sturm, Gabriel
name: Monzel, Anna S
name: Karan, Kalpita R
name: Michelson, Jeremy
name: Ware, Sarah A
name: Cardenas, Andres
name: Lin, Jue
name: Bris, Céline
name: Santhanam, Balaji
name: Murphy, Michael P
name: Levine, Morgan E
name: Horvath, Steve
name: Belsky, Daniel W
name: Wang, Shuang
name: Procaccio, Vincent
name: Kaufman, Brett A
name: Hirano, Michio
name: Picard, Martin
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Data Descriptor
/631/80/509
/631/553/1464
/631/80/642/333/1465
data-descriptor

description: Aging is a process of progressive change. To develop biological models of aging, longitudinal datasets with high temporal resolution are needed. Here we report a multi-omics longitudinal dataset for cultured primary human fibroblasts measured across their replicative lifespans. Fibroblasts were sourced from both healthy donors (n = 6) and individuals with lifespan-shortening mitochondrial disease (n = 3). The dataset includes cytological, bioenergetic, DNA methylation, gene expression, secreted proteins, mitochondrial DNA copy number and mutations, cell-free DNA, telomere length, and whole-genome sequencing data. This dataset enables the bridging of mechanistic processes of aging as outlined by the "hallmarks of aging", with the descriptive characterization of aging such as epigenetic age clocks. Here we focus on bridging the gap for the hallmark mitochondrial metabolism. Our dataset includes measurement of healthy cells, and cells subjected to over a dozen experimental manipulations targeting oxidative phosphorylation (OxPhos), glycolysis, and glucocorticoid signaling, among others. These experiments provide opportunities to test how cellular energetics affect the biology of cellular aging. All data are publicly available at our webtool: https://columbia-picard.shinyapps.io/shinyapp-Lifespan_Study/.
title: Διερεύνηση της καταλληλότητας αργιλομαργαϊκού σχηματισμού για την κατασκευή τάπητα σε Χ.Υ.Τ.Α.
Creators: name: Συνατσάκη Αλκυόνη
Publisher: name: Technical University of Crete
Year: 2012

description: Μη διαθέσιμο
Recent and rapid ecogeographical rule reversals in Northern Treeshrews.
Creators: name: Juman, Maya M
name: Millien, Virginie
name: Olson, Link E
name: Sargis, Eric J
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Article
/631/158/852
/631/158/2165
/631/181
/631/601
article

description: Funder: Alaska EPSCoR
description: Two of the most-studied ecogeographical rules describe patterns of body size variation within species. Bergmann's rule predicts that individuals have larger body sizes in colder climates (typically at higher latitudes), and the island rule predicts that island populations of small-bodied species average larger in size than their mainland counterparts (insular gigantism). These rules are rarely tested in conjunction or assessed across space and time simultaneously. We investigated these patterns in the Northern Treeshrew (Tupaia belangeri) using museum specimens collected across a wide spatial and temporal range. Contrary to Bergmann's rule, size increases with temperature in T. belangeri, a signal that is highly consistent across space and time. We also show that these rules are intertwined: Bergmann's rule is reversed on the mainland but holds on islands, and therefore the island rule is upheld at higher, but not lower, latitudes. Moreover, we demonstrate a rapid reversal of both rules over time. The mechanism behind these inversions remains unclear, though temperature and precipitation are significant predictors of body size. Ecogeographical rules rely on the assumption of a constant relationship between size and the factors driving its variation. Our results highlight the need to question this assumption and reevaluate these rules in the context of accelerating and uneven climate change.
Why Openness and Reproducibility in Machine Learning Matter
Creators: name: Messerschmidt, Lena
name: Schrader, Antonia C.
name: Steinbach, Peter
name: Ferguson, Lea Maria
name: Pampel, Heinz
Publisher: name: Zenodo
Year: 2023
Subjects: open science
reproducibility
open research software
open research data
machine learning
data science

description: In research fields with complex scientific and technical infrastructures that generate large volumes of research data, Artificial Intelligence (AI) and Machine Learning (ML) methods are ubiquitous and hold promising possibilities to reuse these unique data treasures. In this endeavour, it is ever more important that these methods are trustworthy and reliable. This includes transparency and openness of the infrastructure, tools, workflows, and resources that are used to enable (computational) reproducibility of research results. Research is reproducible when sufficient detail (about data, code, software, hardware, and implementation details) is provided to run the analysis again, re-creating the results. This is a key quality indicator in research, which is also in line with established principles of good scientific practice. In Data Science, reproducibility is an important requirement for the integrity of model results and building of trust towards the overwhelming expansion of AI systems applications. However, the field of Machine Learning (e.g. Large Language Models and others) experiences what is called a reproducibility crisis and it is difficult to reproduce important results. Experience reports refer to many publications as being not replicable, being statistically insignificant, or suffering from narrative fallacy. The endeavour of Open Science, of making scientific outputs as easily accessible as possible for everyone, closely links to the reproducibility of research. The application of open and reproducible practices in ML research has the potential to promote responsible use of AI by openly describing the procedures and applications, thus promoting the overall integrity of the scientific output and applications. Open and reproducible practices are therefore essential pillars of the democratization of AI sciences. This presentation focuses on Open Science practices to improve reproducibility at Helmholtz and highlight its importance for robust, reproducible and trustworthy research in ML.
title: Γεωφυσική διασκόπηση με τη μέθοδο της ηλεκτρικής τομογραφίας σε χώρο ανέγερσης των κτιριακών εγκαταστάσεων του Τμήματος ΜΗ.ΠΕΡ. του Πολυτεχνείου Κρήτης
Creators: name: Γανταδάκη Άννα
Publisher: name: Technical University of Crete
Year: 2012

description: Μη διαθέσιμο
Amino acid variants of SARS-CoV-2 papain-like protease have impact on drug binding.
Creators: name: Perlinska, Agata P
name: Stasiulewicz, Adam
name: Nguyen, Mai Lan
name: Swiderska, Karolina
name: Zmudzinski, Mikolaj
name: Maksymiuk, Alicja W
name: Drag, Marcin
name: Sulkowska, Joanna I
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: subject: Research Article
subject: Biology and life sciences
subject: Medicine and health sciences
subject: Physical sciences
subject: FOS: Physical sciences
subject: Research and analysis methods

description: The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused both a health and economic crisis around the world. Its papain-like protease (PLpro) is one of the protein targets utilized in designing new drugs that would aid vaccines in the fight against the virus. Although there are already several potential candidates for a good inhibitor of this protein, the degree of variability of the protein itself is not taken into account. As an RNA virus, SARS-CoV-2 can mutate to a high degree, but PLpro variability has not been studied to date. Based on sequence data available in databases, we analyzed the mutational potential of this protein. We focused on the effect of observed mutations on inhibitors' binding mode and their efficacy as well as protein's activity. Our analysis identifies five mutations that should be monitored and included in the drug design process: P247S, E263D-Y264H and T265A-Y268C.
Acoustic sorting of microfluidic droplets at kHz rates using optical absorbance
Creators: name: Richter, Esther S
name: Link, Andreas
name: McGrath, John S
name: Sparrow, Raymond W
name: Gantz, Maximilian
name: Medcalf, Elliot J
name: Hollfelder, Florian
name: Franke, Thomas
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022

description: Acknowledgements: This work is part of a project that has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 813786 (EVOdrops). This work reflects only the author's view, and the Research Executive Agency is not responsible for any use that may be made of the information it contains. It was supported by a studentship from the BBSRC Doctoral Training Account, (E. J. M., BB/M011194/1), a Trinity College/Benn W Levy SBS DTP PhD Studentship (M. G.) and an H2020 ERC Advanced Investigator Award (F. H., 695669).
description: We combine acoustic sorting and absorbance detection for ultra-high throughput label free droplet sorting.
Pathogenicity and Transmissibility of North American H7 Low Pathogenic Avian Influenza Viruses in Chickens and Turkeys
Creators: name: Chowdhury, Ishita Roy
name: Yeddula, Sai Goutham Reddy
name: Kim, Shin-Hee
Publisher: name: MDPI
Year: 2019
Subjects: low pathogenic avian influenza virus
H7
replication
transmissibility
chickens

description: Low pathogenic avian influenza (LPAI) viruses can silently circulate in poultry and wild aquatic birds and potentially mutate into highly pathogenic avian influenza (HPAI) viruses. In the U.S., recent emergence and spread of H7N8 and H7N9 HPAI viruses not only caused devastating losses to domestic poultry but also underscored the capability of LPAI viruses to mutate into HPAI viruses. Therefore, in this study, we evaluated pathogenicity and transmissibility of H7N8 and H7N9 LPAI viruses (the progenitors of HPAI viruses) in chickens and turkeys. We also included H7N2 isolated from an outbreak of LPAI in commercial chickens. H7 viruses replicated more efficiently in the respiratory tract than in the gastrointestinal tract, suggesting that their replication is restricted to the upper respiratory tract. Specifically, H7N2 replicated most efficiently in two-week-old chickens and turkeys. In contrast, H7N8 replicated least efficiently in those birds. Further, replication of H7N2 and H7N9 was restricted in the upper respiratory tract of four-week-old specific-pathogen-free (SPF) and broiler chickens. Despite their restricted replication, the two viruses efficiently transmitted from infected to naïve birds by direct contact, leading to seroconversion of contacted chickens. Our findings suggest the importance of continuous monitoring and surveillance of LPAI viruses in the fields.
title: On chiral extrapolations of charmed meson masses and coupled-channel reaction dynamics
Creators: name: Guo, Xiao-Yu
name: Heo, Yonggoo
name: Lutz, Matthias F. M.
Publisher: name: American Physical Society
Year: 2022

description: We perform an analysis of QCD lattice data on charmed-meson masses. The quark-mass dependence of the data set is used to gain information on the size of counterterms of the chiral Lagrangian formulated with opencharm states with JP = 0− and JP = 1− quantum numbers. Of particular interest are those counterterms that are active in the exotic flavor sextet channel. A chiral expansion scheme in which physical masses enter the extrapolation formulas is developed and applied to the lattice data set. Good convergence properties are demonstrated, and an accurate reproduction of the lattice data based on ensembles of PACS-CS, MILC, ETMC, and HSC with pion and kaon masses smaller than 600 MeV is achieved. It is argued that a unique set of lowenergy parameters is obtainable only if additional information from HSC on some scattering observables is included in our global fits. The elastic and inelastic s-wave πD and ηD scattering as considered by HSC is reproduced faithfully. Based on such low-energy parameters, we predict 15 phase shifts and inelasticities at physical quark masses but also for an additional HSC ensemble at smaller pion mass. In addition, we find a clear signal for a member of the exotic flavor sextet states in the ηD channel, below the KD¯ s threshold. For the isospin-violating strong decay width of the D* s0(2317), we obtain the range (104–116) keV.
Turing patterns with high-resolution formed without chemical reaction in thin-film solution of organic semiconductors.
Creators: name: Xiang, Zezhong
name: Li, Jin
name: You, Peng
name: Han, Linbo
name: Qiu, Mingxia
name: Chen, Gengliang
name: He, Yu
name: Liang, Songqiang
name: Xiang, Boyuan
name: Su, Yaorong
name: An, Hongyu
name: Li, Shunpu
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Article
/639/301/1005
/639/925/357
/142
/128
/120
article

description: Regular patterns can form spontaneously in chemical reaction-diffusion systems under non-equilibrium conditions as proposed by Alan Turing. Here, we found that regular patterns can be generated in uphill-diffusion solution systems without a chemical reaction process through both in-situ and ex-situ observations. Organic semiconductor solution is confined between two parallel plates with controlled micron/submicron-meter distance to minimize convection of the liquid and avoid spinodal precipitation at equilibrium. The solvent evaporation concentrates the solution gradually into an oversaturated non-equilibrium condition, under which a phase-transition occurs and ordered concentration-waves are generated. By proper tuning of the experimental parameter, multiple regular patterns with micro/nano-meter scaled features (line, square-grid, zig-zag, and fence-like patterns etc.) were observed. We explain the observed phenomenon as Turing-pattern generation resulted from uphill-diffusion and solution oversaturation. The generated patterns in the solutions can be condensed onto substrates to form structured micro/nanomaterials. We have fabricated organic semiconductor devices with such patterned materials to demonstrate the potential applications. Our observation may serve as a milestone in the progress towards a fundamental understanding of pattern formation in nature, like in biosystem, and pave a new avenue in developing self-assembling techniques of micro/nano structured materials.
title: Influence of vector interactions on the favored shape of inhomogeneous chiral condensates
Creators: name: Carignano, Stefano
name: Schramm, Marco
name: Buballa, Michael
Publisher: name: American Physical Society
Year: 2022

description: We update a previous study of the effects of vector interactions in the Nambu–Jona-Lasinio model on the formation of inhomogeneous chiral symmetry breaking condensates. In particular, by properly considering a spatially modulated vector mean field associated with the quark number density of the system we show that, as the value of the vector coupling increases, a chiral density wave modulation can become thermodynamically favored over a real sinusoidal modulation. This behavior is found both via a GinzburgLandau analysis close to the Lifshitz point, as well as with a full numerical diagonalization of the meanfield Dirac Hamiltonian at vanishing temperature.
The Role of Children in The Family Buying Process: A Comparative Analysis between The British Bangladeshi and Bangladeshi Families
Creators: name: Akter, Salma
Publisher: name: Cardiff Metropolitan University
Year: 2022
Subjects: Consumer behaviour

description: In today's business world, the role of children in the family buying decision-making process is continuously getting the importance and attention of researchers, academics, and business organizations. The depth of childrenâ€Ÿs influence on the family is still untapped in the contemporary research process. Changes in socioeconomic and demographic structures considerably increase the involvement of children in their family decision making. This has created an analysis gap in this field of study. No prior research was conducted in this field of study with particular reference to Bangladesh Bangladeshi and the British Bangladeshi children. The main area of interest of the thesis is to explore the role of children in the family buying process. The review of the literature proposes a conceptual framework/model which considers different socioeconomic and demographic factors. The literature does not only describe the influence of children in the family buying decision stages, but it also discusses the degree and influence of other factors. A detailed comparison is made of the roles between children in Bangladesh Bangladeshi and the British Bangladeshi families. The pedagogical conceptual framework works as a precursor to form the research hypotheses used to analyze the data more critically. A cluster random sampling was used to collect the data from the United Kingdom and Bangladesh. Data was collected directly from 200 respondents through the structured questionnaire system. Secondary data was used to analyze the research gap. A structured questionnaire was pre-tested in order to measure the validity, reliability and proper justification of the conduct of the study. Statistical tools were used to analyze the descriptive and multivariate analysis for the quantitative data. Analysis of the data assisted in testing the hypotheses guiding the study and explored new research phenomena in which the role of children in the family buying decision-making process was identified. Any research gap will form the recommendations of the study.
title: Διερεύνηση της επίδρασης της μίξης ντίζελ με βιοντίζελ στις ιδιότητες του τελικού καυσίμου
Creators: name: Τουρής Χρήστος
Publisher: name: Technical University of Crete
Year: 2012

description: Μη διαθέσιμο
title: Συμβολή των γεωφυσικών μεθόδων στην επίλυση γεωτεχνικών προβλημάτων. Παραδείγματα από την ανατολική Κρήτη
Creators: name: Κουφόπουλος Ιωάννης
Publisher: name: Technical University of Crete
Year: 2012

description: Μη διαθέσιμο
Area of Habitat maps for the world's terrestrial birds and mammals.
Creators: name: Lumbierres, Maria
name: Dahal, Prabhat Raj
name: Soria, Carmen D
name: Di Marco, Moreno
name: Butchart, Stuart HM
name: Donald, Paul F
name: Rondinini, Carlo
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Data Descriptor
/631/158/672
/631/601
/704/158/670
data-descriptor

description: Area of Habitat (AOH) is "the habitat available to a species, that is, habitat within its range". It complements a geographic range map for a species by showing potential occupancy and reducing commission errors. AOH maps are produced by subtracting areas considered unsuitable for the species from their range map, using information on each species' associations with habitat and elevation. We present AOH maps for 5,481 terrestrial mammal and 10,651 terrestrial bird species (including 1,816 migratory bird species for which we present separate maps for the resident, breeding and non-breeding areas). Our maps have a resolution of 100 m. On average, AOH covered 66 ± 28% of the range maps for mammals and 64 ± 27% for birds. The AOH maps were validated independently, following a novel two-step methodology: a modelling approach to identify outliers and a species-level approach based on point localities. We used AOH maps to produce global maps of the species richness of mammals, birds, globally threatened mammals and globally threatened birds.
title: Μελέτη της σεισμικότητας στην περιοχή της Μεσσαράς με την χρήση τοπικού δικτύου σεισμογράφων και διεθνών καταλόγων σεισμών
Creators: name: Καρνέζης Παναγιώτης
Publisher: name: Technical University of Crete
Year: 2012

description: Μη διαθέσιμο
Оглядові майданчики як засіб оновлення соціокультурного простору аеропортів
Creators: name: Galyna, Agieieva
Publisher: name: Zenodo
Year: 2022
Subjects: аеропорт
приаеродромна територія
містобудування
соціальне середовище
соціокультурний простір
оглядові майданчики
просторова організація

description: Відновлення країни – це не тільки відтворення зруйнованого під час бойових дій, але й можливість застосувати новітні підходи урбаністики і архітектури для реалізації концепції сталого розвитку окремих населених пунктів та країни, в цілому. Сучасні тенденції розвитку аеропортів базуються на поширенні бізнес-моделей, які перетворює аеропорти у своєрідні урбанізовані утворення. Концепції сталого розвитку останніх повинні визначати шляхи містобудівного освоєння територій та принципи утворення безпечних поселень, у яких усуненні соціальні бар’єри, забезпечений загальний доступ до дорожньо-транспортної інфраструктури; безпечних, доступних і відкритих для всіх зелених зон та громадських місць, особливо для жінок і дітей, літніх людей та інвалідів. Одним із шляхів усунення соціальних бар’єрів та забезпечення загального доступу до об’єктів дорожньо-транспортної інфраструктури, рекреацій та місцевої культури може бути влаштування оглядових майданчиків як складових соціокультурного простору на території аеропортів.
title: Σχεδιασμός απόθεσης στείρων υλικών λιγνιτωρυχείου ανοικτής εκσκαφής
Creators: name: Φουντουλάκης Χαράλαμπος
Publisher: name: Technical University of Crete
Year: 2012

description: Μη διαθέσιμο
The Effect of Tree-Planting Patterns on the Microclimate within a Courtyard
Creators: name: Li, Junying
name: Liu, Jiying
name: Srebric, Jelena
name: Hu, Yuanman
name: Liu, Miao
name: Su, Lei
name: Wang, Shunchang
Publisher: name: MDPI
Year: 2019
Subjects: courtyard
tree-planting pattern
outdoor microclimate
PHOENICS

description: Current landscape design within a courtyard usually does not take into account the influence of the tree-planting pattern, which has an important influence on the outdoor microclimate and occupants’ thermal comfort. At present, the extent of the influence on the microclimate has not yet been made clear. Computational Fluid Dynamics (CFD) was employed to run this model under hot summer weather conditions. Field measurements validated the performance of the CFD model. This study conducted numerical simulations for five different tree-planting patterns, including (i) focused tree-planting (F), (ii) cornered tree-planting (C), (iii) multi-row tree-planting (R), (iv) surround tree-planting (S) and (v) no tree-planting (N). Our study found that the tree-planting pattern affects both the distribution of air temperature and the degree of local heat transfer. Specifically, the C, S and N patterns allow for higher ventilation in the studied courtyard, while the F and R patterns cause lower wind velocities and associated courtyard ventilation. The average air temperature for the C pattern is lower during summer afternoons than the other patterns. The wind flow pattern in the studied courtyard does not vary significantly with different tree-planting patterns. Nevertheless, the general relative humidity in the courtyard does not vary significantly with different tree-planting patterns, except for the N pattern. A future analysis is needed to investigate the mechanisms of the phenomenon.