cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Technical note: High accuracy weighing micro-lysimeter system for long-term measurements of non-rainfall water inputs to grasslands
Creators: name: Riedl, Andreas
name: Li, Yafei
name: Buchmann, Nina
name: Eugster, Werner
Publisher: name: ETH Zurich
Year: 2021

description: Non-rainfall water (NRW), defined here as dew, hoar frost, fog, rime and water vapor adsorption, might be a relevant water source for ecosystems, especially during summer drought periods. These water inputs are often not considered in ecohydrological studies, because water amounts of NRW events are rather small and therefore difficult to measure. Here we present a novel micro-lysimeter (ML) system and its application which allows to quantify very small water inputs from NRW with an unprecedented high accuracy of ±0.25 g, which corresponds to ±0.005 mm water input. This is possible with an improved ML design paired with individual ML calibrations in combination with high-frequency measurements at 3.3 Hz and an efficient low-pass filtering to reduce noise level. With a set of ancillary sensors, the ML system furthermore allows differentiating between different types of NRW inputs: dew, hoar frost, fog, rime and the combinations among these, but also additional events when condensation on leaves is less probable, such as water vapor adsorption events. In addition, our ML system design allows to minimize deviations from natural conditions in terms of canopy and soil temperatures, plant growth and soil moisture. This is found to be a crucial aspect for obtaining realistic NRW measurements in short-statured grasslands. Our ML system has proven to be useful for high-accuracy, long-term measurements of NRW on short-statured vegetation like grasslands. Measurements with the ML system at a field site in Switzerland showed that NRW input occurred frequently with 127 events over 12 months, with a total NRW input of 15.9 mm. High average monthly NRW inputs were measured during summer months, suggesting a high ecohydrological relevance of NRW inputs for temperate grasslands.
description: Hydrology and Earth System Sciences Discussions
description: ISSN:1812-2116
description: ISSN:1812-2108
Special Relativity: Scientific or Philosophical Theory?
Creators: name: Sochi, Taha
Publisher: name: figshare
Year: 2016
Subjects: Special Relativity

description: /* Layout-provided Styles */ div.standard { margin-bottom: 2ex; } In this article, we argue that the theory of special relativity, as formulated by Einstein, is a philosophical rather than a scientific theory. What is scientific and experimentally supported is the formalism of the relativistic mechanics embedded in the Lorentz transformations and their direct mathematical, experimental and observational consequences. This is in parallel with the quantum mechanics where the scientific content and experimental support of this branch of physics is embedded in the formalism of quantum mechanics and not in its philosophical interpretations such as the Copenhagen school or the parallel worlds explanations. Einstein theory of special relativity gets unduly credit from the success of the relativistic mechanics of Lorentz transformations. Hence, all the postulates and consequences of Einstein interpretation which have no direct experimental or observational support should be reexamined and the relativistic mechanics of Lorentz transformations should be treated in education, academia and research in a similar fashion to that of quantum mechanics.
Deep learning for force decoding form multimodal non-invasive brain signals
Creators: name: Ortega San Miguel, Pablo
Publisher: name: Imperial College London
Year: 2021

description: Brain-Computer Interfaces (BCIs) bypass the nerve-muscle communication pathways. They offer people with disabilities new opportunities to assist, rehabilitate and restore their force control. Such control allows us to stabilise our manipulations, making them precise and safe. However, non-invasive BCIs, a surgery-free technology, have only made moderate progress in force decoding compared to invasive approaches. In this thesis, we explore and develop deep learning (DL) force decoding methods for electroencephalography (EEG) and functional Near-Infrared Spectroscopy (fNIRS): two signals reflecting complementary brain function information. We first release HYGRiP, a dataset including ready-to-use multimodal brain (fNIRS and EEG) and unilateral hand signals (force and electromyography, EMG). We show that fast force generation introduces non-stationarities that remarkably increase fNIRS variability. Hence, we developed hemCNN, a convolutional neural network (CNN) method for fNIRS signals decoding and neuroimaging that outperforms conventional decoding approaches and reveals hand-specific cortical activations. We continue generating HYGRiiP. Here, both hands contract simultaneously but generate different dynamic forces. With this multimodal dataset, we aim to answer two longstanding questions in non-invasive BCI: the possibility to decode dynamic forces and two simultaneous degrees of freedom (DoF). We show that multimodal non-invasive brain signals reconstruct bimanual force better than either of the signals alone. Our deep-fusion method further increases force reconstruction and better exploits signals with different physiological and physical origins. We show that most of the reconstruction is due to the robust detection of hand-specific contraction, which outperforms previous linear and EEG methods. Although we identified a limited hand-specific reconstruction of dynamic forces, our deep-fusion method revealed traces of hand-specific force modulation in EEG and fNIRS, suggesting that force modulated signals are accessible without surgery. However, current sensing systems are still too noisy to detect them on a single-trial basis. Our results show that appropriately designed DL methods can improve fNIRS and multimodal signal processing for force decoding.
Architectural History and Globalized Knowledge: Gottfried Semper in London
Creators: name: Chestnova, Elena
name: van Eck, Caroline
name: Fraser, Murray
name: Hildebrand, Sonja
name: Hvattum, Mari
name: Leoni, Claudio
name: Nichols, Kate
name: Payne, Alina
name: Ursprung, Philip
name: Weidmann, Dieter
name: Wyss, Beat
Publisher: name: ETH Zurich
Year: 2021

description: ISBN:978-3-85676-409-8
description: ISBN:978-3-85676-424-1
ClimateBert: A Pretrained Language Model for Climate-Related Text
Creators: name: Webersinke, Nicolas
name: Kraus, Mathias
name: Bingler, Julia Anna
name: Leippold, Markus
Publisher: name: ETH Zurich
Year: 2021

description: Over the recent years, large pretrained language models (LM) have revolutionized the field of natural language processing (NLP). However, while pretraining on general language has been shown to work very well for common language, it has been observed that niche language poses problems. In particular, climate-related texts include specific language that common LMs can not represent accurately. We argue that this shortcoming of today's LMs limits the applicability of modern NLP to the broad field of text processing of climate-related texts. As a remedy, we propose ClimateBert, a transformer-based language model that is further pretrained on over 1.6 million paragraphs of climate-related texts, crawled from various sources such as common news, research articles, and climate reporting of companies. We find that ClimateBertleads to a 46% improvement on a masked language model objective which, in turn, leads to lowering error rates by 3.57% to 35.71% for various climate-related downstream tasks like text classification, sentiment analysis, and fact-checking.
description: arXiv
Shell sorting algorithm: review and implementation example using Rcpp
Creators: name: Macherki M., E.
Publisher: name: figshare
Year: 2016
Subjects: subject: 80308 Programming Languages
subject: FOS: Computer and information sciences
subject: 80301 Bioinformatics Software

description: This review resumes the most famous sorting algorithm: the shell Sort. This method starts by sorting pairs of elements far apart from each other, then progressively reducing the gap between elements to be compared.We used Rcpp to impliment the code in R and we show how the running time of Shell sort is heavily dependent on the gap sequence it use.
Intrinsic negative variance components: errata
Creators: name: Ronian Siew
Publisher: name: figshare
Year: 2016
Subjects: subject: 10401 Applied Statistics
subject: FOS: Mathematics
subject: 10299 Applied Mathematics not elsewhere classified
subject: 20501 Classical and Physical Optics
subject: FOS: Physical sciences

description: Certain corrections are provided for two equations and an in-line mathematical statement to the below reference.
NOTE: Further work which includes an analysis of intrinsic negative variance components as a consequence of non-normal stochastic physical parameters has been published at https://dx.doi.org/10.6084/m9.figshare.3979128
Investigating the drought-prone biological interplay of soil microbial communities and Scots pine trees 
Creators: name: Jäger, Astrid
name: Hartmann, Martin
name: Hagedorn, Frank
name: Six, Johan
name: Solly, Emily
Publisher: name: ETH Zurich
Year: 2021

description: In forest ecosystems, microorganisms hold key functions as nutrient cyclers, decomposers, plant symbionts or pathogens and thereby regulate biogeochemical processes and forest health. These microbial dynamics are controlled by water availability in three fundamental ways: as resource, as solvent, and as transport medium. For one of the dominant tree species in Swiss forests - Scots pine (Pinus sylvestris L.) - high mortality rates have been observed in recent decades. In the Rhone valley of Switzerland, forest dieback appears to be primarily caused by direct effects of drought and an increasing susceptibility of trees to further constraints, such as pathogen attacks. Nonetheless, water limitation does not affect soil microbes and trees separately but rather induces a series of interconnected effects between trees and the associated soil microbiome, which could strongly alter carbon and nutrient cycling in forests. We conduct a study to investigate the effects of drought on the biological interplay between Scots pine trees and soil microbial communities. We aim to estimate how shifts in microbial community composition and functional capacity under drought may affect nutrient cycling and tree vitality potentially contributing to tree mortality. In order to understand these mechanisms, we perform greenhouse experiments with tree-soil mesocosms under controlled conditions. State-of-the art molecular methods such as metabarcoding of ribosomal markers, shotgun metagenome sequencing, and qPCR of key functional genes are used to unravel alterations in the soil microbiome and in the underlying functional metabolic potential related to drought and associated tree-mortality. Furthermore, to elucidate the impact of drought on microbial carbon dynamics, stable isotope labelling techniques have been applied to trace 13C labeled plant photosynthates into the soil microbial communities by analyzing 13C signatures of phospholipid fatty acids. Investigation of soil physicochemical properties and tree-vitality is done in parallel with the microbial assessments to understand the feedbacks on nutrient-cycling and the soil-tree continuum. The overarching aim of this study is to gain new insights into the complex relationships between soil, trees and microbes under drought.
description: EGUsphere
Warming and elevated CO2 promote incorporation of plant-derived lipids into soil organic matter in a spruce-dominated ombrotrophic bog
Creators: name: Ofiti, Nicholas O.E.
name: Zosso, Cyrill U.
name: Solly, Emily F.
name: Hanson, Paul J.
name: Wiesenberg, Guido L.B.
name: Schmidt, Michael W.I.
Publisher: name: ETH Zurich
Year: 2021

description: More than one third of global soil organic matter (SOM) is stored in peatlands, despite them occupying less than 3% of the land surface. Increasing global temperatures have the potential to stimulate the decomposition of carbon stored in peatlands, contributing to the release of disproportionate amounts of greenhouse gases to the atmosphere but increasing atmospheric CO2 concentrations may stimulate photosynthesis and return C into ecosystems.  Key questions remain about the magnitude and rate of these interacting and opposite processes to environmental change drivers.

We assessed the impact of a 0–9°C temperature gradient of deep peat warming (4 years of warming; 0-200 cm depth) in ambient or elevated CO2 (2 years of +500 ppm CO2 addition) on the quantity and quality of SOM at the climate change manipulation experiment SPRUCE (Spruce and Peatland Responses Under Changing Environments) in Minnesota USA. We assessed how warming and elevated CO2 affect the degradation of plant and microbial residues as well as the incorporation of these compounds into SOM. Specifically, we combined the analyses of free extractable n-alkanes and fatty acids together with measurements of compound-specific stable carbon isotopes (δ13C).

We observed a 6‰ offset in δ13C between bulk SOM and n-alkanes, which were uniformly depleted in δ13C when compared to bulk organic matter. Such an offset between SOM and n-alkanes is common due to biosynthetic isotope fractionation processes and confirms previous findings. After 4 years of deep peat warming, and 2 years of elevated CO2 addition a strong depth-specific response became visible with changes in SOM quantity and quality. In the upper 0-30 cm depth, individual n-alkanes and fatty acid concentrations declined with increasing temperatures with warming treatments, but not below 50 cm depth. In turn, the δ13C values of bulk organic matter and of individual n-alkanes and fatty acids increased in the upper 0-30 cm with increasing temperatures, but not below 50 cm depth. Thus n-alkanes, which typically turnover slower than bulk SOM, underwent a rapid transformation after a relatively short period of simulated warming in the acrotelm. Our results suggest that warming accelerated microbial decomposition of plant-derived lipids, leaving behind more degraded organic matter. The non-uniform, and depth dependent warming response implies that warming will have cascading effects on SOM decomposition in the acrotelm in peatlands. It remains to be seen how fast the catotelm will respond to rising temperatures and atmospheric CO2 concentrations.
description: EGUsphere
Enhanced root growth but reduced belowground carbon allocation are the initial responses to water limitation in model Scots pine-soil systems
Creators: name: Solly, Emily
name: Jäger, Astrid
name: Barthel, Matti
name: Six, Johan
name: Hartmann, Martin
Publisher: name: ETH Zurich
Year: 2021

description: Worldwide tree species have been observed to be suffering from extended periods of water limitation, for example due to warmer climate that increases soil evaporation and plant transpiration. These conditions likely do not only affect the growth and vitality of trees but may also feed back on the cycling of carbon and nitrogen at the interface between roots and soils.

In September 2019, we established a mesocosm experiment to mechanistically study on a seasonal basis how the interactions between plants and soil biotic and abiotic resources are altered during events of drought. The mesocosms feature young Scots pine (Pinus sylvestris L.) trees and soil collected from a drought-affected natural forest in the Rhone valley, Switzerland; and are treated with three different levels of water availability (control, sufficient water; intermediate drought, 40% reduction; severe drought, 75% reduction). One year after the start of the experiment an isotopic labelling campaign with 13CO2 was conducted to trace the natural pathway of photosynthetic assimilates into above- and belowground carbon pools and fluxes.

During the first growing season of the experiment, severe drought more than doubled the growth of fine roots when compared to the control treatment. In turn, the mean diameter of the fine roots significantly decreased by 22%, and fewer ectomycorrhizal root tips were observed. These findings suggest that trees exposed to drought invest more in within-plant carbon maintenance and in the growth of root systems, rather than in the allocation of carbon to sustain the biology in the rhizosphere for nutrient acquisition. Moreover, post-label soil pore 13CO2 concentrations and total soil CO2 concentrations were lower under severe drought compared to intermediate and control treatments, indicating a generally reduced carbon metabolism. By tracking the fate of 13C assimilates into fine roots, soils and microbial communities over time we now investigate whether there is a threshold at which Scots pine trees stop investing in providing carbon to the rhizosphere and rather succumb to drought.
description: EGUsphere
Shortest Path Problem with Gamma Probability Distribution Arc Length
Creators: name: Olya, Mohammad Hessam
Publisher: name: figshare
Year: 2016
Subjects: subject: 10206 Operations Research
subject: FOS: Mathematics
subject: 10406 Stochastic Analysis and Modelling
subject: Probability
subject: 80503 Networking and Communications
subject: FOS: Computer and information sciences
subject: 150309 Logistics and Supply Chain Management
subject: FOS: Economics and business

description: We propose a new method to find shortest path in a stochastic and dynamic network with Gamma distribution. A dynamic programming approach has been used to find the shortest path in a network having gamma probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two gamma probability distributions being employed in the dynamic program.
Dynamic Program to Find Shortest Path in a Network having Normal Probability
Creators: name: Olya, Mohammad Hessam
Publisher: name: figshare
Year: 2016
Subjects: subject: 10206 Operations Research
subject: FOS: Mathematics
subject: 10303 Optimisation

description: We adapt a dynamic program to find the shortest path in a network having normal probability distributions as arc lengths. A novel dynamic programming approach has been used to find the shortest path in a network having Normal probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two normal probability distributions being employed in the dynamic program. Generally, stochastic shortest path problems are treated using expected values of the arc probabilities, but in the proposed method using distributed observed past data as arc lengths, an integrated value is obtained as the shortest path length.
Recognizing Pilot State: Enabling Tailored In-Flight Assistance Through Machine Learning
Creators: name: Lutnyk, Luis
name: Rudi, David
name: Kiefer, Peter
name: Raubal, Martin
Publisher: name: ETH Zurich
Year: 2020

description: Moving towards the highly controversial single pilot cockpit, more and more automation capabilities are added to today’s airliners. However, to operate safely without a pilot monitoring, avionics systems in future cockpits will have to be able to intelligently assist the remaining pilot. One critical enabler for proper assistance is a reliable classification of the pilot’s state, both in normal conditions and more critically in abnormal situations like an equipment failure. Only with a good assessment of the pilot’s state, the cockpit can adapt to the pilot’s current needs, i.e. alert, adapt displays, take over tasks, monitor procedures, etc.
description: The 1st International Conference on Cognitive Aircraft Systems – ICCAS
Dynamic Program to Find Shortest Path in a Network having Normal Probability.pdf
Creators: name: Olya, Mohammad Hessam
Publisher: name: figshare
Year: 2016
Subjects: subject: 10206 Operations Research
subject: FOS: Mathematics
subject: 10303 Optimisation

description: We adapt a dynamic program to find the shortest path in a network having normal probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two normal probability distributions being employed in the dynamic program. Generally, stochastic shortest path problems are treated using expected values of the arc probabilities, but in the proposed method using distributed observed past data as arc lengths, an integrated value is obtained as the shortest path length.
A new method to find shortest path in a stochastic and dynamic network with Gamma distribution
Creators: name: Olya, Mohammad Hessam
Publisher: name: figshare
Year: 2016
Subjects: subject: 10206 Operations Research
subject: FOS: Mathematics
subject: 10406 Stochastic Analysis and Modelling
subject: Probability
subject: 80503 Networking and Communications
subject: FOS: Computer and information sciences
subject: 150309 Logistics and Supply Chain Management
subject: FOS: Economics and business

description: We propose a dynamic program to find the shortest path in a network having gamma probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two gamma probability distributions being employed in the dynamic program.
Shortest Path Problem with Gamma Probability Distribution Arc Length
Creators: name: Olya, Mohammad Hessam
Publisher: name: figshare
Year: 2016
Subjects: subject: 10206 Operations Research
subject: FOS: Mathematics
subject: 10406 Stochastic Analysis and Modelling
subject: Probability
subject: 80503 Networking and Communications
subject: FOS: Computer and information sciences
subject: 150309 Logistics and Supply Chain Management
subject: FOS: Economics and business

description: We propose a dynamic program to find the shortest path in a network having gamma probability distributions as arc lengths. Two operators of sum and comparison need to be adapted for the proposed dynamic program. Convolution approach is used to sum two gamma probability distributions being employed in the dynamic program.
Spin crossover of thiophosgene via multidimensional heavy-atom quantum tunneling
Creators: name: Heller, Eric R.
name: Richardson, Jeremy
Publisher: name: ETH Zurich
Year: 2021
Subjects: Theoretical chemistry
info:eu-repo/classification/ddc/540
Chemistry

description: The spin-crossover reaction of thiophosgene has drawn broad attention from both experimenters and theoreticians as a prime example of radiationless intramolecular decay via intersystem crossing. Despite multiple attempts over 20 years, theoretical predictions have typically been orders of magnitude in error relative to the experimentally measured triplet lifetime. We address the T1 → S0 transition by the first application of semiclassical golden-rule instanton theory in conjunction with on-the-fly electronic-structure calculations based on multireference perturbation theory. Our first-principles approach provides excellent agreement with the experimental rates. This was only possible due to the fact that instanton theory goes beyond previous methods by locating the optimal tunneling pathway in full dimensionality and thus captures "corner cutting" effects. Since the reaction is situated in the Marcus inverted regime, the tunneling mechanism can be interpreted in terms of two classical trajectories, one traveling forwards and one backwards in imaginary time, which are connected by particle-antiparticle creation and annihilation events. The calculated mechanism indicates that the spin crossover is sped up by many orders of magnitude due to multidimensional quantum tunneling of the carbon atom even at room temperature.
description: ChemRxiv
description: ISSN:2573-2293
Spanish Translation and Adaptation of the Qualities of Daydreaming Scale (QuOD) using a Non-Clinical Sample
Creators: name: Armet, Victoria
Publisher: name: figshare
Year: 2025
Subjects: classificationCode: 520105
subject: Psychological methodology, design and analysis

description: This study reports the translation and adaptation of the Qualities of Daydreaming Scale (QuOD), measuring pleasantness, perceptual realism, and frequency of daydreaming, into Spanish and evaluates its psychometric properties in a non-clinical adult sample. An exploratory factor analysis (N = 104) replicated the original three-factor structure, but with a different item distribution and causing the removal of one item. A confirmatory factor analysis (N = 142) supported the revised 10-item model, showing acceptable fit and reliability. Given the different item distribution, the interpretation of the construct measured by factor 2 was changed from perceptual realism to reality enhancement, reflecting a reinterpretation focused on the perceived usefulness and future orientation of daydreams. Both pleasantness and reality enhancement correlated positively with life satisfaction and negatively with psychopathological symptoms, supporting construct validity. The authors conclude that the Spanish QuOD offers a reliable tool for exploring adaptive aspects of daydreaming.
Effect of Chinese hamster ovary culture PH on sialylation and antibody productivity
Creators: name: McIntosh, Calum John
Publisher: name: Imperial College London
Year: 2021

description: Monoclonal antibodies (mAbs) are used for specific treatment of a wide range of diseases that affect the cardiovascular, liver, gastrointestinal and immune systems. The efficacy, safety, and serum half-life are all important characteristics that can be affected by glycans. Glycans are carbohydrate chains found on the antibody whose presence and composition influence the interactions of the mAbs within the body. Process changes such as temperature shifts and culture feeding strategies are known to have significant effects on glycan structures. In this project, Chinese hamster ovary cells were used to produce a novel antibody product with Fab glycosylation. The cells were subjected to changes in culture and the affects on culture pH affected antibody production, glycosylation, the cell metabolome, and transcriptome were investigated. A reduction in pH to 6.8, was found to increase productivity by up to 50% and increase the level of glycan processing on the antibody. An increased pH of 7.3 was found to have an opposite effect, reducing the productivity by up to 40%, and reducing the level of glycan processing. These differences were consistent across different parent cells tested. The mechanism behind the effect of the pH shift was investigated through a combination of transcriptomics, metabolomics, and flow cytometry. A significant change in the cell’s Golgi body was seen in cultures subjected to a reduction in pH. Cultures grown at pH 6.8 were found to have an initial reduction in Golgi size but as culture time progressed the Golgi body increased to 2-3 times the size that of the control cultures. This was hypothesized to lead to the increased processing of the glycans seen in the reduced pH cultures. A Golgi stress pathway was investigated as the source of the increase in Golgi size, but RNA-sequencing results eliminated this. Further work needs to be conducted in order to fully elucidate the mechanisms behind the increase in Golgi body size and how this affects the production and glycosylation of the antibody.
Unpacking Altmetric Donuts: Content Analysis of Tweets to Scholarly Journal Articles
Creators: name: Mine, Shinji
Publisher: name: figshare
Year: 2016
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: Lightning talk slide at the 3rd Altmetric Conference, 28-29 September 2016.
Distance-based, online Bioinformatics training in Africa - the H3ABioNet experience
Creators: name: Gurwitz, Kim
name: Aron, Shaun
name: Sumir Panji
name: Maslamoney, Suresh
name: Fernandes, Pedro
name: Judge, David
name: Mulder, Nicola
Publisher: name: figshare
Year: 2016
Subjects: subject: 60102 Bioinformatics
subject: FOS: Computer and information sciences

description: Presented at the ECCB2016, den Haag, NL, Sept 2016

Africa is not unique in its need for basic bioinformatics training for individuals from a molecular biology background. However, unique logistical challenges in Africa, most notably access to bioinformatics expertise and internet stability, must be addressed in order to meet this need on the continent. H3ABioNet (www.h3abionet.org), the Pan African Bioinformatics Network for H3Africa, has therefore developed an innovative, free Introduction to bioinformatics course taking these challenges into account. A distance-based learning model has been selected for this 3 month course (July-September 2016) to increase access to expert African and European Bioinformatics trainers covering several bioinformatics topics, including: databases and resources; genomics; Linux; sequence alignment; and phylogenetics.

Classrooms with a total of >350 participants are hosted at 20 institutions, across 11 African countries, in order to provide local administrative and academic support. Classroom selection was based on certain infrastructure criteria, including: computer resources; Internet access; and availability of local teaching assistants. Although lectures are delivered live to remote sites via an online platform, to ensure that classroom success does not rely on stable Internet, classrooms can watch pre-recorded and pre-downloaded lecture videos, as well as work through practical assignments on the lecture content, during biweekly contact sessions. Lecture recordings are available on the course website http://training.h3abionet.org/IBT_2016/. While trainers are available via video conferencing to take questions during contact sessions, online ‘question and discussion’ forums, hosted on the course management platform, are also available. This distance based model, developed for a resource limited setting, could easily be adapted to other settings.
title: 3. Chant dans le style raya par Gurädo Habtu
Creators: name: Wion, Anaïs
name: Bolay, Anne
Publisher: name: COCOON - https://cocoon.huma-num.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Gurädo Habtu chante toujours en compagnie du joueur de masinqo Gäbäyähu Mola. Le chant est sa seule source de revenue. Elle a commencé à chanter sous Haylä Sellasié.
Bikeinformatics: A Sensing Infrastructure with Two-Wheel Vehicles and its Application for Intelligent Transportation System with Information Science and Technologies
Creators: name: Kitani, Tomoya
Publisher: name: figshare
Year: 2016
Subjects: subject: Information Systems
subject: FOS: Computer and information sciences
subject: 90203 Automotive Mechatronics
subject: FOS: Mechanical engineering
subject: 91304 Dynamics, Vibration and Vibration Control
subject: 90505 Infrastructure Engineering and Asset Management
subject: FOS: Civil engineering

description: In this paper, we introduce a project to achieve a sensing infrastructure with motorcycles for developing intelligent transportation systems (ITS) for motorcycles.
Collected data from the project can be used not only for traffic safety and effectiveness but also for analyzing motorcycle dynamics.
Such data can be used for various purpose.
We also introduce some application that utilize the data.
Then, as a sensing system for a motorcycle, we propose a reasonable prototype that consists of low cost MEMS sensors, and we also propose a measurement method to correct the sensors' error by integrated the sensors' output.
Through the experiment with a real motorcycle equipped with both precise measurement devices and the proposed system, we have confirmed that the accuracy of the proposed system is better than the original IMUs' output.
Managing propagation of site-wide disturbances using model predictive control with forecasting
Creators: name: Tuzzi, Giuliano
Publisher: name: Imperial College London
Year: 2021

description: In order to obtain higher aerodynamic efficiency and lower noise, novel architectures are being explored in the aero engine field. These designs include shorter, stiffer shafts carrying longer and more flexible blades; the shaft is in turn supported by complex structures. These arrangements imply that the dynamic behaviour of shaft and blades is no longer uncoupled and a dynamic interaction between the modes of the subcomponents can appear. This dynamic interaction can lead to high level of vibration in unexpected places, which can cause a decrease in performance and, ultimately, fatigue and wear of components. In a shaft-disk-blades flexible assembly supported by linear bearings, the blade 1ND (Nodal Diameter) modes are known to couple with the shaft lateral modes, whilst the 0ND "umbrella" modes couple with the shaft axial modes. The objective of this research is to investigate if other families of coupled modes can appear in the presence of oriented bearing supports, which couple shaft axial and lateral displacements. This phenomenon is investigated via different FE models, which consist of a flexible shaft carrying a single flexible disc, two flexible discs and a flexible bladed disc, respectively. It is found that, if the support structure of the shaft is asymmetric, some lateral modes couple with the axial mode, giving rise to the so called "mixed modes", which share both axial and lateral dynamic behaviour. These modes then in turn excite the disc and blades 0ND and 1ND modes simultaneously, giving rise to new families of coupled modes. If the blades are staggered, an additional coupling with the shaft torsional dynamics can be predicted. In the second part of this work, an asymmetric bearing support structure was designed and installed on an existing rotor-dynamic rig, in order to provide an experimental validation for the numerical models. The experimental activity proved the hypothesis that an asymmetric bearing support structure can lead to a coupling between shaft bending and axial vibration, which then excites the disc 0ND and 1ND modes. Additionally, it was found that a coupling between shaft bending/axial modes and higher disc NDs can occur if the disc is mistuned.
title: Inventaire des titres de propriété et des actes concernant les droits de l'abbaye de Morimond, Manuscrit n° 1, Bibliothèque municipale de Bourbonne-les-Bains, f.239
Creators: name: Rouzeau, Benoît
name: Rouzeau, Benoît
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2021
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cistercien
subject: cartulaire

description: Inventaire des titres de propriété et des actes concernant les droits de l'abbaye de Morimond, Manuscrit n° 1, Bibliothèque municipale de Bourbonne-les-Bains. Numérisation en mode image
description: Relation: https://cisterciensetressources.lamop.fr/
description: Bibliographic citation: Inventaire des titres de propriété et des actes concernant les droits de l'abbaye de Morimond, Manuscrit n° 1, Bibliothèque municipale de Bourbonne-les-Bains, f.239, in Projet Cisterciens et Ressources [Ressource en ligne], https://cisterciensetressources.lamop.fr
description: Inventaire des titres de propriété et des actes concernant les droits de l'abbaye de Morimond, Manuscrit n° 1, Bibliothèque municipale de Bourbonne-les-Bains, f. 239
XR4Human D1.1: Stakeholder Engagement Methodology and Plan
Creators: name: Prasolova-Førland, Ekaterina
name: Makhortova, Kseniia
name: Hokstad, Leif Martin
name: Kavouras, Panagiotis
name: Bartlett, Harriet
name: Quevillard, Maëlle
Publisher: name: Zenodo
Year: 2023

description: ABSTRACT

This report presents a comprehensive overview of stakeholder engagement. It considers the initial analysis and definitions of concepts and differences in stakeholder groups, suggests ways to identify the right approach, and reveals the main existing models of stakeholder engagement. The report suggests supplementing and strengthening stakeholder engagement with the theory on communities and their lifecycle. Based on on this and in combination with an understanding of the stakeholder groups and communities relevant for the XR4HUMAN project—a targeted XR4HUMAN stakeholder engagement methodology is suggested.
Determination of Cisplatin using Hydrophilic Interaction Liquid Chromatography (HILIC) Coupled with Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Creators: name: Le, Tinh
Publisher: name: figshare
Year: 2016
Subjects: subject: 30101 Analytical Spectrometry
subject: FOS: Chemical sciences

description: Cisplatin (cis-diamminedichloroplatinum(II), CDDP) is widely used for the treatment of several solid tumors. The antitumor property of cisplatin is generally proved that the covalent binding of cisplatin to DNA distorts the DNA structure, which leads to the death of the cancer cells.
XR4Human D1.1: Stakeholder Engagement Methodology and Plan
Creators: name: XR4EUROPE
Publisher: name: Zenodo
Year: 2024

description: ABSTRACT

This report presents a comprehensive overview of stakeholder engagement. It considers the initial analysis and definitions of concepts and differences in stakeholder groups, suggests ways to identify the right approach, and reveals the main existing models of stakeholder engagement. The report suggests supplementing and strengthening stakeholder engagement with the theory on communities and their lifecycle. Based on on this and in combination with an understanding of the stakeholder groups and communities relevant for the XR4HUMAN project—a targeted XR4HUMAN stakeholder engagement methodology is suggested.

Contributor(s):

Ekaterina Prasolova-Førland, Kseniia Makhortova, Leif Martin Hokstad (NTNU), Panagiotis Kavouras (NTUA), Harriet Bartlett and Maëlle Quevillard (XR4EUROPE).
Whole-soil warming alters microbial community, but not concentrations of plant-derived soil organic carbon in subsoil
Creators: name: Zosso, Cyrill
name: Ofiti, Nicholas O.E.
name: Soong, Jennifer L.
name: Solly, Emily F.
name: Torn, Margaret S.
name: Huguet, Arnaud
name: Wiesenberg, Guido L.B.
name: Schmidt, Michael W.I.
Publisher: name: ETH Zurich
Year: 2021

description: Soils will warm in near synchrony with the air over the whole profiles following global climate change. It is largely unknown how subsoil (below 30 cm) microbial communities will respond to this warming and how plant-derived soil organic carbon (SOC) will be affected. Predictions how climate change will affect the large subsoil carbon pool (>50 % of SOC is below 30 cm soil depth) remain uncertain.

At Blodgett forest (California, USA) a field warming experiment was set up in 2013 warming whole soil profiles to 100 cm soil depth by +4°C compared to control plots. We took samples in 2018, after 4.5 years of continuous warming and investigated how warming has affected the abundance and community structure of microoganisms (using phospholipid fatty acids, PLFAs), and plant litter (using cutin and suberin).

The warmed subsoil (below 30 cm) contained significantly less microbial biomass (28%) compared to control plots, whereas the topsoil remained unchanged. Additionally below 50 cm, the microbial community was different in warmed as compared to control plots. Actinobacteria were relatively more abundant and Gram+ bacteria adapted their cell-membrane structure to warming. The decrease in microbial abundance might be related to lower SOC concentrations in warmed compared to control subsoils. In contrast to smaller SOC concentrations and less fine root mass in the warmed plots, the concentrations of the plant polymers suberin and cutin did not change. Overall our results demonstrate that already four seasons of simulated whole-soil warming caused distinct depth-specific responses of soil biogeochemistry: warming altered the subsoil microbial community, but not concentrations of plant-derived soil organic carbon.
description: EGUsphere
A machine learning stacking model accurately estimating gastric fluid volume in patients undergoing elective sedated gastrointestinal endoscopy
Creators: name: Yan, Yuqing
name: Jin, Yuzhan
name: Guo, Yaoyi
name: Ma, Mingtao
name: Feng, Yue
name: Zhong, Yi
name: Chen, Chen
name: Ge, Chun
name: Zou, Jianjun
name: Si, Yanna
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Biophysics
Space Science
Medicine
Biotechnology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer
Science Policy

description: The current point-of-care ultrasound (POCUS) assessment of gastric fluid volume primarily relies on the traditional linear approach, which often suffers from moderate accuracy. This study aimed to develop an advanced machine learning (ML) model to estimate gastric fluid volume more accurately. We retrospectively analyzed the clinical data and POCUS data (D1: craniocaudal diameter, D2: anteroposterior diameter) of 1386 patients undergoing elective sedated gastrointestinal endoscopy (GIE) at Nanjing First Hospital to predict gastric fluid volume using ML techniques, including six different ML models and a stacking model. We evaluated the models using the adjusted Coefficient of Determination (R2), mean absolute error (MAE) and root mean square error (RMSE). The SHapley Additive exPlanations (SHAP) method was used to interpret the importance of the variables. Finally, a web calculator was constructed to facilitate its clinical application. The stacking model (Linear regression + Multilayer perceptron) performed best, with the highest adjusted R2 of 0.718 (0.632 to 0.804). The mean prediction bias was 4 ml (MAE: 4.008 (3.68 to 4.336)), which is better than that of the linear model. D1 and D2 ranked high in the SHAP plot and performed better in the right lateral decubitus (RLD) than in the supine position. The web calculator can be accessed at https://cheason.shinyapps.io/Stacking_regressor/. The stacking model and its web calculator can serve as practical tools for accurately estimating gastric fluid volume in patients undergoing elective sedated GIE. It is recommended that anesthesiologists measure D1 and D2 in the patient’s RLD position.
Noise cancelling headphones.pdf
Creators: name: Le, Tinh
Publisher: name: figshare
Year: 2016
Subjects: subject: 100699 Computer Hardware not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Noise cancelling feature is commonly used in ear buds, in ear headphones. They can reproduce the wide range of frequencies from outside noises. However, which factors determine the effectiveness of noise cancellation is still un-known. In this paper, we present the hypothesis, which contributes to how the effective noise cancelling earbuds are in terms of their capacity to create exactly the sound with inverted wavelength.
The humanisation and generation of antibody fragments against oxidised low density lipoprotein for the optical molecular imaging of atherosclerosis
Creators: name: Pandey, Samata Shrestha
Publisher: name: Imperial College London
Year: 2021

description: Atherosclerosis and its major adverse cardiovascular events remain a leading cause of mortality and morbidity globally. Despite advances in diagnostics and treatment, a key barrier to reducing its consequences is the difficulty in predicting and identifying those plaques which are most vulnerable to rupture. Monoclonal antibodies provide a unique opportunity in tackling this gap due to their natural high specificity for an epitope; making them promising imaging agents for the molecular imaging of atherosclerosis. In this effort, single chain variable fragments (scFv) and fragment antigen binding (Fab) of a characterised murine monoclonal antibody, LO1, have been generated for the molecular imaging of oxidised low density lipoprotein. These small size of these antibody fragments may optimise tissue penetrance and kinetics for molecular imaging, generating increased signal to noise ratio and greater targeting. In a translational effort, a humanised Fab was generated to minimise potential immunogenicity. The rationale design and expression of the humanisation and antibody fragment generation is presented. Near-infrared labelling of the humanised Fab allowed non-invasive imaging of atherosclerosis in a mouse model using fluorescence molecular tomography (FMT). Results revealed the humanised Fab successfully distinguishes atherosclerotic animals from wild-type mice. Multiplexed imaging with fluorescent probes targeting matrix metalloproteinases and integrin α5β3 discovered the humanised Fab was able to distinguish between diseased and non-diseased animals with the greatest confidence. Overall, this thesis demonstrates the utility of antibody fragments for molecular imaging.
Is the fluoroquinolone combination necessary for empirical antibiotic regimen in severe community-acquired pneumonia?
Creators: name: Oh, Seungtak
name: Jang, Wooyoung
name: Kim, Bongyoung
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: This study aimed to assess whether superior clinical outcomes can be attained through piperacillin/tazobactam (TZP)+fluoroquinolone (FQ) combination therapy for severe community-acquired pneumonia (CAP) compared to TZP monotherapy. This retrospective study was conducted at a tertiary care hospital in Korea. Adult inpatients diagnosed with pneumonia within 48 hours of hospitalization were included. Severe CAP was defined as a CURB-65 score of ≥ 3 or based on the 2007 guidelines of the Infectious Diseases Society of America/American Thoracic Society (IDSA/ATS) definition. Only patients who received either TZP and FQ combination or TZP as initial empirical therapy were included. The final analysis included 145 patients; 57.9% received combination therapy and 42.1% received monotherapy. In the combination therapy group, body mass index (20.67 ± 3.28 vs. 22.26 ± 4.80, p = 0.030) and asthma prevalence (0 vs. 8.3%, p = 0.022) were significantly higher; initial symptoms, clinical severity, and causative pathogens were not significantly different between groups. White blood cell counts (12,641.64 ± 6,544.66 vs. 12,491.67 ± 10,528.24, p = 0.008), and C-reactive protein levels (18.78 ± 11.47 vs. 26.58 ± 14.97, p < 0.001) were significantly higher in the combination therapy group. Clinical outcomes, including all-cause in-hospital mortality rate (26.2 vs. 33.3%, p = 0.358), were not significantly different between the groups. Multivariate analysis identified no significant association between FQ combination and all-cause in-hospital mortality. In patients with severe CAP, there were no differences in the clinical outcomes, including mortality, between the TZP and FQ combination therapy and TZP monotherapy. FQ combination was not significantly associated with in-hospital mortality.
title: No Other Track: Russell Hoban and the Literary Pilgrim
Creators: name: Waggoner, Eric G.
Publisher: name: Old Dominion University
publisherIdentifier: https://ror.org/04zjtrb98
publisherIdentifierScheme: ROR
Year: 1995

description: This study will examine the novels of Russell Hoban, an American-born writer living and working in London, and their consistent engagement of the idea of pilgrimage: the spiritual and geographical travel towards a particular goal as found in early Christian writing, as well as extant writings of other religions and cultures. After briefly tracing the social and literary history of the pilgrimage, I will examine each of Hoban's novels with an eye towards their secular revision of the pilgrimage motif, a revision which nonetheless retains a measure of spirituality.