Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a spatio-temporal life cycle analysis : a novel approach to consider local and regional inventories

Doctor of Philosophy Towards a Spatio-temporal Life Cycle Analysis: a Novel Approach to Consider Local and Regional Inventories by Marina Maier Neglecting dynamic information can impact the results of Life Cycle Assessment studies and wrong conclusions, e.g. in policy making, may be drawn. The long-term vision can be described as the development of a complete Life Cycle Assessment study using one comprehensive spatio-temporal Life Cycle Assessment approach to not only calculate regional and local inventories, but also include a dynamical Life Cycle Impact Assessment to determine environmental impact caused by the regional and spatial inventories. This thesis aims to take steps towards this vision by concentrating on spatio-temporal Life Cycle Inventories. Two spatio-temporal Life Cycle Inventory methods are proposed within this Thesis, both are based on the Enhanced Structural Path Analysis method. The first one includes temporal and spatial information on a local scale and comprises landscape characteristics. Therewith, the dispersion of inventories can be modelled. Results of a case study analysing wheat production show the spatio-temporal dispersion for the example emission of salt in flowing water. The second method uses regional datasets from Ecoinvent to calculate inventories over the entire life cycle. The framework was applied to calculate the CO2-inventories of a 5 MW offshore Wind Turbine over its entire life cycle stages. Results are presented in dynamical emissions maps, showing the accumulation of emissions according to the regional occurrence within the life cycle stages over time. Furthermore, the Enhanced Structural Path Analysis is considered for an optimisation analysis. Limitations of the method are mathematically proven. This includes results that the sum and maximum of the Inventory vector as well as Lifetime of Atmospheric CO2 models can either not be minimised or have restricted optimal solutions. The cumulative output, including and excluding Lifetime of Atmospheric CO2 models are minimal for every inventory vector time-series. The output peaks of the Inventory are minimal if the final demand vector is uniformly distributed. The results are confirmed by simulations for using the 5 MW offshore Wind Turbine case study. The thesis demonstrates that it is possible to implement spatio-temporal information into Life Cycle Assessments. We believe that the proposed methods will improve the traditional Life Cycle Assessments and will help to introduce a framework for a dynamical approach.
VideoTrace: rapid interactive scene modelling from video

VideoTrace is a system for interactively generating realistic 3D models of objects from video---models that might be inserted into a video game, a simulation environment, or another video sequence. The user interacts with VideoTrace by tracing the shape of the object to be modelled over one or more frames of the video. By interpreting the sketch drawn by the user in light of 3D information obtained from computer vision techniques, a small number of simple 2D interactions can be used to generate a realistic 3D model. Each of the sketching operations in VideoTrace provides an intuitive and powerful means of modelling shape from video, and executes quickly enough to be used interactively. Immediate feedback allows the user to model rapidly those parts of the scene which are of interest and to the level of detail required. The combination of automated and manual reconstruction allows VideoTrace to model parts of the scene not visible, and to succeed in cases where purely automated approaches would fail.
Supported Phospholipid Bilayer Interaction with Components Found in Typical Room-Temperature Ionic Liquids – a QCM-D and AFM Study †

Quartz crystal microbalance with dissipation (QCM-D) monitoring and atomic force microscopy (AFM) were combined to evaluate the defects created by an ionic liquid anion and a cation in a supported phospholipid bilayer composed of zwitterionic lipids on a silica surface. The cation 1-octyl-3-methyl imidazolium (OMIM+) was shown to remove lipids from the bilayer, increase the roughness to approximately 2.8 nm (~0.2 for stable supported bilayer) and possibly redeposit lipids with entrapped water. The anion bis(trifluoromethylsulfonyl)imide (Tf2N-) was found to leave distinct defects within the bilayer that had large pore-like interiors which left the surrounding bilayer intact. However, the ionic liquid 1-butyl-1-methyl pyrrolidinium bis(trifluoromethylsulfonyl)imide (BMP-Tf2N) formed a film over the supported bilayer. This work demonstrates, for the first time, the direct effects common components of ionic liquids have on a supported phospholipids bilayer.
SideTrack: generalizing dynamic atomicity analysis

Atomicity is a key correctness specification for multithreaded programs. Prior dynamic atomicity analyses include precise tools, which report an error if and only if the observed trace is not serializable; and imprecise tools, which generalize from the observed trace to report errors that might occur on other traces, but which may also report false alarms. This paper presents SideTrack, a lightweight online dynamic analysis that generalizes from the observed trace without introducing the potential for false alarms. If SideTrack reports an error, then some feasible trace of the source program is not serializable. Experimental results show that this generalization ability increases the number of atomicity violations detected by SideTrack by 40%.
An information-theoretic primer on complexity, self-organization, and emergence

Complex Systems Science aims to understand concepts like complexity, self-organization, emergence and adaptation, among others. The inherent fuzziness in complex systems deﬁnitions is complicated by the unclear relation among these central processes: does self-organisation emerge or does it set the preconditions for emergence? Does complexity arise by adaptation or is complexity necessary for adaptation to arise? The inevitable consequence of the current impasse is miscommunication among scientists within and across disciplines. We propose a set of concepts, together with their information-theoretic interpretations, which can be used as a dictionary of Complex Systems Science discourse. Our hope is that the suggested information-theoretic baseline may facilitate consistent communications among practitioners, and provide new insights into the ﬁeld.
Fertilisation is not a new beginning: sperm environment affects offspring developmental success

SUMMARY For organisms with complex life histories, the direction and magnitude of phenotypic links among life-history stages can have important ecological and evolutionary effects. While the phenotypic links between mothers and offspring, as well as between larvae and adults, are well recognised, the links between sperm phenotype and offspring phenotype have been less well explored. Here, we used a split-clutch/split-ejaculate design to examine whether the environment that sperm experience affects the subsequent performance of larvae in the broadcast spawning marine invertebrate Galeolaria gemineoa. The environment that sperm experienced affected the developmental success of larvae sired by these sperm; larvae sired by sperm that experienced low salinities had poorer developmental success than larvae sired by sperm that experienced a normal salinity. When we explored the interactive effects of the sperm environment and the larval environment with an orthogonal design, we found an interaction; when sperm and larvae experienced the same environment, performance was generally higher than when the sperm and larval environments differed. These effects could be due to selection on specific sperm phenotypes, phenotypic modification of the sperm or both. Together, our results challenge the traditional notion that sperm are merely transporters of genetic material; instead, significant covariance between sperm and offspring phenotypes exists. Our study adds to a growing list that demonstrates that fertilisation does have a homogenising effect on the phenotype of the zygote, and that events before fertilisation during the gamete phase can carry through to affect performance in later life-history stages.
The Relevance of Dynamical Friction for the MW/LMC/SMC Triple System

Simulations of structure formation in the standard cold dark matter cosmological model quantify the dark matter halos of galaxies. Taking into account dynamical friction between dark matter halos, we investigate the past orbital dynamical evolution of the Magellanic Clouds in the presence of the Galaxy. Our calculations are based on a three-body model of rigid Navarro–Frenk–White profiles for dark matter halos but were verified in a previous publication by comparison to high-resolution N-body simulations of live self-consistent systems. Under the requirement that the LMC and SMC had an encounter within 20 kpc between 1 and 4 Gyr ago in order to allow the development of the Magellanic Stream, using the latest astrometric data, the dynamical evolution of the MW/LMC/SMC system is calculated backwards in time. With the employment of the genetic algorithm and a Markov-Chain Monte-Carlo method, the present state of this system is unlikely, with a probability of <10−9 (6σ complement), because the solutions found do not fit into the error bars for the observed plane-of-sky velocity components of the Magellanic Clouds. This implies that orbital solutions that assume dark matter halos, according to cosmological structure formation theory, to exist around the Magellanic Clouds and the Milky Way are not possible with a confidence of more than 6 sigma.
Classification of Web-Based Ontology Building Method Guidelines: a Case Study

Ontology is the core component in semantic Web applications. The employment of an ontology building method affects the quality of ontology and the applicability of ontology language. A weighted evaluation approach for ontology building guidelines is presented in this paper. The evaluation criteria are based on an existing classification scheme of a semiotic framework for evaluating the quality of conceptual models. A sample of Web-based ontology building method guidelines is evaluated in general and experimented with when using data from a case study in particular. Directions for further refinement of ontology building methods are discussed.
Spirituality for Social Isolation in a Patient with Cognitive Impairment: A Case Report

Background: Social isolation is very common and has increased during the COVID-19 pandemic. Objective: To study if spiritual reconnection as part of a multi-component intervention can reduce social isolation in older adults with cognitive impairment. Methods: A longitudinal case study framework was used. A 68-year-old female with mild cognitive impairment presented with social isolation exacerbated by the COVID-19 pandemic. She participated in a telephone-based psychosocial intervention program called Connection Plans for 8 weeks. Motivational interviewing techniques were used to encourage the patient to pick goals to improve the mind, body, and connections. In her connections goal, the patient expressed a desire to make spiritual reconnection. Connecting back to her spirituality was one of the key interventions in this patient. Social isolation, resilience, self-efficacy, and cognition were assessed using standardized rating scales before and after the intervention. Results: The patient was able to identify goals to enhance connections and physical and mental well-being. She successfully reconnected with her spirituality while maintaining COVID prevention measures. At an 8-week follow-up, compared to the baseline visit there was an improvement in measures of social isolation (22/30 to 14/30, a 36% reduction), resilience (12/20 to 20/20, a 67% improvement), and confidence (4/20 to 16/20, a 300% improvement). No improvement was noted in cognition. Conclusions: Spiritual reconnection as part of a multi-component intervention may protect against social isolation in older adults with cognitive impairment. Caution must be exercised in reaching this conclusion as this is a report of a single patient. Systematic studies are needed.
A High-Throughput Arabidopsis Reverse Genetics System Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.004630.

A collection of Arabidopsis lines with T-DNA insertions in known sites was generated to increase the efficiency of functional genomics. A high-throughput modified thermal asymetric interlaced (TAIL)-PCR protocol was developed and used to amplify DNA fragments flanking the T-DNA left borders from ∼100,000 transformed lines. A total of 85,108 TAIL-PCR products from 52,964 T-DNA lines were sequenced and compared with the Arabidopsis genome to determine the positions of T-DNAs in each line. Predicted T-DNA insertion sites, when mapped, showed a bias against predicted coding sequences. Predicted insertion mutations in genes of interest can be identified using Arabidopsis Gene Index name searches or by BLAST (Basic Local Alignment Search Tool) search. Insertions can be confirmed by simple PCR assays on individual lines. Predicted insertions were confirmed in 257 of 340 lines tested (76%). This resource has been named SAIL (Syngenta Arabidopsis Insertion Library) and is available to the scientific community at www.tmri. org.
Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference

MOTIVATION Bayesian estimation of phylogeny is based on the posterior probability distribution of trees. Currently, the only numerical method that can effectively approximate posterior probabilities of trees is Markov chain Monte Carlo (MCMC). Standard implementations of MCMC can be prone to entrapment in local optima. Metropolis coupled MCMC [(MC)(3)], a variant of MCMC, allows multiple peaks in the landscape of trees to be more readily explored, but at the cost of increased execution time. RESULTS This paper presents a parallel algorithm for (MC)(3). The proposed parallel algorithm retains the ability to explore multiple peaks in the posterior distribution of trees while maintaining a fast execution time. The algorithm has been implemented using two popular parallel programming models: message passing and shared memory. Performance results indicate nearly linear speed improvement in both programming models for small and large data sets.
Performance bounds of energy detection with signal uncertainty in cognitive radio networks

The harmonic coexistence of secondary users (SUs) and primary users (PUs) in cognitive radio networks requires SUs to identify the idle spectrum bands. One common approach to achieve spectrum awareness is through spectrum sensing, which usually assumes known distributions of the received signals. However, due to the nature of wireless channels, such an assumption is often too strong to be realistic, and leads to unreliable detection performance in practical networks. In this paper, we study the sensing performance under distribution uncertainty, i.e., the actual distribution functions of the received signals are subject to ambiguity and not fully known. Firstly, we define a series of uncertainty models based on signals' moment statistics in different spectrum conditions. Then we present mathematical formulations to study the detection performance corresponding to these uncertainty models. Moreover, in order to make use of the distribution information embedded in historical data, we extract a reference distribution from past channel observations, and define a new uncertainty model in terms of it. With this uncertainty model, we propose two iterative procedures to study the false alarm probability and detection probability, respectively. Numerical results show that the detection performance with a reference distribution is less conservative compared with that of the uncertainty models merely based on signal statistics.
PTSD and re-offending risk: the mediating role of worry and a negative perception of other people's support

Background Studies of posttraumatic stress disorder (PTSD) are mainly focused on victims of trauma. Very few studies explored the links between PTSD symptoms and re-offending risk in perpetrators of violence. Objective The aim of the study was to assess the effect of PTSD symptoms on re-offending risk in prisoner populations with a focus on indirect effects of worry and a negative perception of other people’s support on the relationship between PTSD and re-offending risk. Methods 75 prisoners (25 females, mean age: 44.36 years; 50 males, mean age: 34.7 years) were assessed for exposure to child abuse and neglect, PTSD symptoms, worry, a negative perception of other people’s support and re-offending risk. Mediation analyses tested the indirect effects of worry and a negative perception of other people’s support on the relationship between PTSD and re-offending risk. Results 72% participants presented PTSD symptoms and 30.7% were at risk of re-offending. Mediation analyses supported the hypothesis of a mediation pathway from PTSD to worry and a negative perception of other people’s support to an increased risk of re-offending. Conclusions The results indicate that prisoners report high rates of PTSD symptoms; furthermore, they highlight an important relationship between PTSD and re-offending risk. Findings suggest that future research should test further the indirect effects of negative cognitive and emotional states on the relationship of PTSD and re-offending risk and explore more in depth the role of PTSD to assess and treat prisoners.
A Validated Questionnaire for Quantifying Skin Oiliness

Increased sebum production is a common skin complaint and plays an important role in acne and oily scalp conditions. To choose the correct skin care products, which mostly are marketed for dry, oily or normal skin, the consumer must self-assess their skin type. Studies show that individuals incorrectly self-assess their sebum secretion levels. In order to be able to correctly determine skin oiliness, we have developed a six-item skin oiliness scale (SOS) that correlates with sebumeter measurements. The resulting correlation was 0.54, which was significantly different from zero (p is easy to administer questionnaire to accurately determine skin oiliness and can be useful in screening and recruiting patients for research trials, performing outcome research, and recommending skin care products and procedures. Our study shows that this skin oiliness scale is an accurate way to identify and quantify skin oiliness.
Cost Models for Query Processing Strategies in the Active DataRepository

Abstract : Exploring and analyzing large volumes of data plays an increasingly important role in many domains of scientific research. We have been developing the Active Data Repository (ADR), an infrastructure that integrates storage, retrieval, and processing of large multi-dimensional scientific datasets on distributed memory parallel machines with multiple disks attached to each node. In earlier work, we proposed three strategies for processing range queries within the ADR framework. Our experimental results show that the relative performance of the strategies changes under varying application characteristics and machine configurations. In this work we describe analytical models to predict the average computation, I/O and communication operation counts of the strategies when input data elements are uniformly distributed in the attribute space of the output dataset, restricting the output dataset to be a regular d-dimensional array. We validate these models for various synthetic datasets and for several driving applications.
Simulating Deforestation in Minas Gerais, Brazil, under Changing Government Policies and Socioeconomic Conditions

Agricultural expansion is causing deforestation in Minas Gerais, Brazil, converting savanna and tropical dry forest to farmland, and in 2012, Brazil’s Forest Code was revised with the government reducing deforestation restrictions. Understanding the effects of policy change on rates and locations of natural ecosystem loss is imperative. In this paper, deforestation in Minas Gerais was simulated annually until 2020 using Dinamica Environment for Geoprocessing Objects (Dinamica EGO). This system is a state-of-the-art land use and cover change (LUCC) model which incorporates government policy, landscape maps, and other biophysical and anthropogenic datasets. Three studied scenarios: (i) business as usual, (ii) increased deforestation, and (iii) decreased deforestation showed more transition to agriculture from shrubland compared to forests, and consistent locations for most deforestation. The probability of conversion to agriculture is strongly tied to areas with the smallest patches of original biome remaining. Increases in agricultural revenue are projected to continue with a loss of 25% of the remaining Cerrado land in the next decade if profit is maximized. The addition of biodiversity value as a tax on land sale prices, estimated at over $750,000,000 USD using the cost of extracting and maintaining current species ex-situ, can save more than 1 million hectares of shrubland with minimal effects on the economy of the State of Minas Gerais. With environmental policy determining rates of deforestation and economics driving the location of land clearing, site-specific protection or market accounting of externalities is needed to balance economic development and conservation.
Synergistic anti-biofouling effect of Ag-exchanged zeolite and D-Tyrosine on PVC composite against the clinical isolate of Acinetobacter baumannii

Due to their susceptibility to bacterial biofilm formation, commercial tubes for medical use are one of the main sources of hospital infections with Acinetobacter baumannii. The anti-biofouling activity of novel composites against the clinical isolate of the multi-drug resistant A. baumannii is reported here. The composites were prepared by addition of micronised silver-exchanged natural zeolite (Ag-NZ) into poly(vinyl chloride) (PVC), followed by coating of the composites with D-Tyrosine (D-Tyr). The Ag-NZ composites (containing 1–15 wt% of Ag-NZ) coated with D-Tyr (Ag-NZ-Tyr) showed a bactericidal effect (100% or a 6.9 log CFU reduction) towards immobilised bacterial cells. The uncoated Ag-NZ composites showed a reduction of up to 70% (4.4 log CFU) of immobilised bacteria in comparison with the original PVC. Rheological testing of the composites revealed that the addition of Ag-NZ slightly affected processability and formability of the PVC and increased the elasticity of the polymer matrix.