nils-herrmann/clean_scirepeval huggingface dataset:
Microparasitic disease dynamics in benthic suspension feeders: Infective dose, non focal hosts, and particle diffusion

Benthic suspension feeders can accumulate substantial numbers of microparasitic pathogens by contacting or filtering particles while feeding, thus making them highly vulnerable to infectious diseases. The study of disease dynamics in these marine organisms requires an innovative approach to modeling. To do so, we developed a single population deterministic compartmental model adapted from the mathematical theory of epidemics. The model is a continuous time model, unstructured in spatial or age terms, and configured to simulate the dynamics of diverse dose (body burden) dependent infectious disease transmission processes in suspension feeders caused by susceptible individuals contacting or absorbing (filtering) infectious waterborne pathogens. Different scenarios were simulated to explore the effect of recruitment, filtration rate, particle loss, diffusion like processes in the water column and non focal hosts (i.e. non susceptible in terms of disease) on disease incidence. An increase in recruitment (i.e. new disease free susceptibles) can reduce the prevalence of infection due to the dilution effect of adding more susceptibles, but the disease can spread faster for the same reason. Lower infective particle accumulation rates or increasing particle loss rates in the environment reduce the prevalence of infection. This effect is trivial when the water is saturated with infective particles released by infected and/or dead animals. Diffusion of particles from the local pool available to suspension feeders to the adjacent remote pool, prompted by a large remote volume and high particle exchange, limits epizootic development. Similarly, the likelihood of an epizootic can be constrained in a large susceptible population when competition for pathogens, more 'active' in active filter feeders than in passive suspension feeders, reduces the per capita infective particle accumulation rate. In passive suspension feeders, decreasing the area of the feeding surface has the same effect in constraining disease development. The effect of competition for infective particles in essence diluting the infective particle concentration in the water column is magnified when the susceptible population is part of a community with non focal filter feeders, and is particularly effective in limiting disease development in high infective dose systems. At the same time, this active foraging strategy makes filter feeders more vulnerable to epizootics. The model is a suitable framework for studying the disease dynamics and determinants of disease outbreaks in benthic suspension feeders.
Long term use of lithium and factors associated with treatment response among patients with bipolar disorder.
Venue: Psychiatria Danubina

Lithium has been the gold standard in treating bipolar disorder. In recent years, the use of lithium seems to be diminished although it is well tolerated among the bipolar disorder patients.  This study aimed to evaluate the efficacy and tolerability of lithium as well as to determine factors associated with lithium response among patient with bipolar disorder. A retrospective study was done in a tertiary care hospital in Malaysia which included 47 bipolar disorder patients that were prescribed with lithium maintenance therapy in the time frame of January 2009 until December 2013.  Of all the baseline characteristics tested, only psychotic feature differentiated lithium monotherapy group and combination therapy group significantly (kh(2)=4.732, p=0.03) When compared to period before lithium maintenance, all outcome measures (i.e. annual relapse rate, proportion time spent ill and duration of mood episode) showed significant improvement after lithium maintenance in both treatment groups. Lithium discontinuation only occurred in five cases of adverse effects. Predominant depressive mood episode before lithium maintenance (OR=0.159, p=0.033) and first euthymic interval after lithium maintenance (OR=1.109, p=0.047) significantly predicted lithium response.  Lithium significantly reduced the frequency and time spent in relapse in patients with bipolar disorder. Predominant depressive mood polarity before lithium maintenance and longer first euthymic interval after lithium maintenance had been identified to predict lithium response significantly.
Long term use of lithium and risk of colorectal adenocarcinoma: a nationwide case control study
Venue: British Journal of Cancer

Lithium accumulates in the colon and inhibits the enzyme GSK 3b that possesses anti carcinogenic effects. We therefore examined the association between lithium use and colorectal cancer risk in a nationwide study.We used the Danish Cancer Registry to identify all patients diagnosed with incident colorectal adenocarcinoma during 2000 2012 (n=36 248) Using a matched case control approach, we estimated the association between long term use (5 years) of lithium and risk of colorectal adenocarcinoma using conditional logistic regression.Long term use of lithium was similar among cases (0.22% and controls (0.20% yielding an odds ratio of 1.13 (95% confidence interval (CI) 0.89 1.43) for colorectal adenocarcinoma. Dose response, subgroup and other subanalyses returned neutral associations. However, ORs differed for colorectal subsites (proximal colon: 1.01 (95% CI, 0.66 1.55; distal colon: 1.52 (95% CI, 1.05 2.20) and rectum: 0.80 (95% CI, 0.50 1.30).Conclusions:Lithium use was not associated with an overall increased risk of colorectal adenocarcinoma. The variation by subsite warrants further investigation.
Data Mining Techniques Applied to Wireless Sensor Networks for Early Forest Fire Detection
Venue: ICC 2016

Nowadays, forest fires are a serious threat to the environment and human life. The monitoring system for forest fires should be able to make a real time monitoring of the target region and the early detection of fire threats. In this paper, we present a new approach for forest fire detection based on the integration of Data Mining techniques into sensor nodes. The idea is to use a clustered WSN where each sensor node will individually decide on detecting fire using a classifier of Data Mining techniques. When a fire is detected, the corresponding node will send an alert through its cluster head which will pass through gateways and other cluster heads until it will reach the sink in order to inform the firefighters. We use the CupCarbon simulator to validate and evaluate our proposed approach. Through extensive simulation experiments, we show that our approach can provide a fast reaction to forest fires while consuming energy efficiently.
Improved Porosity and Permeability Models with Coal Matrix Block Deformation Effect
Venue: Rock Mechanics and Rock Engineering

Coal permeability is an important parameter in coalbed methane (CBM) exploration and greenhouse gas storage. A reasonable theoretical permeability model is helpful for analysing the influential factors of gas flowing in a coalbed. As an unconventional reservoir, the unique feature of a coal structure deformation determines the state of gas seepage. The matrix block and fracture change at the same time due to changes in the effective stress and adsorption; the porosity and permeability also change. Thus, the matrix block deformation must be ignored in the theoretical model. Based on the cubic model, we analysed the characteristics of matrix block deformation and fracture deformation. The new models were developed with the change in matrix block width a. We compared the new models with other models, such as the Palmer Manson (P M) model and the Shi Durucan (S D) model, and used a constant confining stress. By matching the experimental data, our model matches quite well and accurately predicts the evolution of permeability. The sorption induced strain coefficient f differs between the strongly adsorbing gases and weakly adsorbing gases because the matrix block deformation is more sensitive for the weakly adsorbing gases and the coefficient f is larger. The cubic relationship between porosity and permeability overlooks the importance of the matrix block deformation. In our model, the matrix block deformation suppresses the permeability ratio growth. With a constant confining stress, the weight of the matrix block deformation for the strongly adsorbing gases is larger than that for weakly adsorbing gases. The weight values increase as the pore pressure increases. It can be concluded that the matrix block deformation is an important phenomenon for researching coal permeability and can be crucial for the prediction of CBM production due to the change in permeability.
Investigation of the Klinkenberg effect on gas flow in coal matrices: A numerical study

The Klinkenberg effect may significantly impact gas flow behavior, especially in low permeability materials (e.g. coal matrices) The estimation of permeability in coal matrices with respect to the Klinkenberg effect has significant implications for the production of coal bed methane (CBM) impacting factors such as production rates and reservoir issues. In our study, a coal permeability model consisting of seepage and the stress field is constructed. This model considers the stress strain equation, porosity dynamic evolution equation, and permeability equation with Klinkenberg effects. The primary focus was that the Klinkenberg effect, which is linked to variable porosity in coal, was treated as a dynamic parameter affecting the permeability of the coal matrix. A numerical model, based on the COMSOL software package, was employed for this coal permeability model. A physical experiment was used to validate the numerical simulations. The results show that Klinkenberg effect based permeability now has an improved agreement with the physical experiment. The Klinkenberg effect is influenced by the stress magnitude, gas pressure distribution, and boundary conditions. Specifically, an increase in effective stress induced by the reduction of the gas pressure improves the compressive deformation of the coal matrix, thereby changing the porosity and permeability of the coal seam. The Klinkenberg effect affects gas pressure permeability. Under fixed boundary conditions for a small change in outlet conditions, the gas pressure gradient is significantly reduced; however, under the inlet conditions, the gas pressure gradient increases.
Impact of Water Film Evaporation on Gas Transport Property in Fractured Wet Coal Seams
Venue: Transport in Porous Media

Production data of coalbed methane have shown that coalbed may be wet for a long time after the completion of water flow and water gas two phase flow stages. In this period, water flows out in moisture vapor, but the water in matrix does not change so much. The moisture loss is mainly from the water film in fracture network. Experiments also observed that such a moisture loss has a profound impact on the storage and transport of coalbed methane. However, this impact has not been investigated so far. This study investigates this impact through following works: firstly, a new conceptual permeability model is proposed based on water film adhered to the surface of fractures in a dual porosity porous medium. The effect of water film is further described in gas flow equation by a non Darcy law with threshold pressure gradient. Thirdly, a coupled multi physical model is established to consider the interactions among coal deformation, gas flow, gas sorption and moisture loss. This model is validated by the gas production data of a coal seam in the Fruitland formation of San Juan basin. Finally, four scenarios are computed to comprehensively study the impact of moisture loss. These simulations show that the proposed model can well fit the history of gas production data. Non Darcy flow has different velocity profile from Darcy flow. For the non Darcy flow, the gas flow velocity increases quickly, then slowly, and finally decreases once gas starts to flow at a point. Moisture evaporation with gas flow mainly occurs in the zone near wellbore. This loss has a delay to the gas flow velocity. It also reveals that this moisture loss in coal seams can significantly improve coal permeability and thus enhance gas production. Therefore, the change of water film has significant impacts on gas production.
Why Did Better Place Fail? Range anxiety, interpretive flexibility, and electric vehicle promotion in Denmark and Israel

With almost $1 billion in funding, Better Place was poised to become one of the most innovative companies in the electric mobility market. The system Better Place proposed had two novel prongs; first, to reduce the cost of batteries, and second, to reduce range anxiety, public infrastructure concerns, and long charging times. Yet, despite this seemingly strong combination, Better Place failed to make any progress in Denmark and Israel, the first two markets it operated in, and subsequently declared bankruptcy, selling off its collective assets for less than $500,000. Drawing from science and technology studies and the notion of "interpretive flexibility," this paper posits several reasons to explain the failure of Better Place, including that Denmark is not as "green" as it seems nor is the Israeli market as attractive as believed, and that Better Place's solution to charging time and range anxiety resolved a psychological, not a functional, barrier of the general public to adopt electric vehicles. Before investigating these two reasons, the paper presents a short history of Better Place and explores the contours of its operations in Denmark and Israel. It then discusses why Better Place "failed" across both countries before concluding with implications for energy planning, policy, and analysis.
Optimisation of wind farm location using mean variance portfolio theory and time series clustering
Venue: 2016 IEEE International Conference on Power and Energy (PECon)

The variability associated with wind energy generation can be mitigated by applying optimisation strategies to determine the geographical locations and sizes of wind power plants. Mean variance portfolio theory has been proposed as in the literature for optimising wind farm locations, but applying it to a large geographic area with many wind speed datasets yields a solution that may not be practically realisable. This paper presents the results of a study to optimise the location of wind farms with view to reduce the variability of the available power profile, using a mean variance portfolio optimisation strategy in conjunction with a pre processing clustering algorithm, in order to generate practicable solutions. The results show that using clustered datasets yields near optimal solutions in terms of minimised variability, while also highlighting the scope for an increased energy yield from an optimally sized and located wind farm distribution.
Building Iran Modernism Architecture And National Heritage Under The Pahlavi Monarchs

Thank you very much for reading building iran modernism architecture and national heritage under the pahlavi monarchs. As you may know, people have search numerous times for their favorite readings like this building iran modernism architecture and national heritage under the pahlavi monarchs, but end up in infectious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some malicious bugs inside their desktop computer.
Hallmarks of cancer stem cell metabolism
Venue: British Journal of Cancer

Cancer cells adapt cellular metabolism to cope with their high proliferation rate. Instead of primarily using oxidative phosphorylation (OXPHOS) cancer cells use less efficient glycolysis for the production of ATP and building blocks (Warburg effect) However, tumours are not uniform, but rather functionally heterogeneous and harbour a subset of cancer cells with stemness features. Such cancer cells have the ability to repopulate the entire tumour and thus have been termed cancer stem cells (CSCs) or tumour initiating cells (TICs) As opposed to differentiated bulk tumour cells relying on glycolysis, CSCs show a distinct metabolic phenotype that, depending on the cancer type, can be highly glycolytic or OXPHOS dependent. In either case, mitochondrial function is critical and takes centre stage in CSC functionality. Remaining controversies in this young and emerging research field may be related to CSC isolation techniques and/or the use of less suitable model systems. Still, the apparent dependence of CSCs on mitochondrial function, regardless of their primary metabolic phenotype, represents a previously unrecognised Achilles heel amendable for therapeutic intervention. Elimination of highly chemoresistant CSCs as the root of many cancers via inhibition of mitochondrial function bears the potential to prevent relapse from disease and thus improve patients' long term outcome.
State of the Art Exploration Systems for Linked Data: A Review

The ever increasing amount of data available on the web is the result of the simplicity of sharing data over the current Web. To retrieve relevant information efficiently from this huge dataspace, a sophisticated search technology, which is further complicated due to the various data formats used, is crucial. Semantic Web (SW) technology has a prominent role in search engines to alleviate this issue by providing a way to understand the contextual meaning of data so as to retrieve relevant, high quality results. An Exploratory Search System (ESS) is a featured data looking and search approach which helps searchers learn and explore their unclear topics and seeking goals through a set of actions. To retrieve high quality retrievals for ESSs, Linked Open Data (LOD) is the optimal choice. In this paper, SW technology is reviewed, an overview of the search strategies is provided, and followed by a survey of the state of the art Linked Data Browsers (LDBs) and ESSs based on LOD. Finally, each of the LDBs and ESSs is compared with respect to several features such as algorithms, data presentations, and explanations.
Faceted exploration of RDF/S datasets: a survey
Venue: Journal of Intelligent Information Systems

The amounts of available Semantic Web (SW) data (including Linked Open Data) constantly increases. Users would like to browse and explore effectively such information spaces without having to be acquainted with the various vocabularies and query language syntaxes. This paper discusses the work that has been done in the area for the case of RDF/S datasets, with emphasis on session based interaction schemes for exploratory search. In particular, it surveys the related works according to various aspects, such as assumed user goals, structuring of the underlying information space, generality and configuration requirements, and various (state space based) features of the navigation structure. Subsequently it introduces a small but concise formal model of the interaction (that captures the core functionalities) which is used as reference model for describing what the existing systems support. Finally the paper describes the evaluation methods that have been used. Overall, the presented analysis aids the understanding and comparison of the various different approaches that have been proposed so far.
Exploration and Visualization in the Web of Big Linked Data: A Survey of the State of the Art
Venue: EDBT/ICDT Workshops

Data exploration and visualization systems are of great importance in the Big Data era. Exploring and visualizing very large datasets has become a major research challenge, of which scalability is a vital requirement. In this survey, we describe the major prerequisites and challenges that should be addressed by the modern exploration and visualization systems. Considering these challenges, we present how state of the art approaches from the Database and Information Visualization communities attempt to handle them. Finally, we survey the systems developed by Semantic Web community in the context of the Web of Linked Data, and discuss to which extent these satisfy the contemporary requirements.
Towards cross domain data analytics in tourism: a linked data based approach
Venue: J. Inf. Technol. Tour.

The complexity of the social, political and economical settings in which tourism enterprises operate, increasingly require them to perform data analytics tasks that rely on data from various domains (e.g. economy, environmental sustainability) A survey of tourism practitioners performed in this study showed that although such cross domain analytics are important, they are primarily performed by relying on manual data collection and aggregation, which is both time consuming and error prone. This paper investigates the suitability of Linked Data technologies to support data aggregation tasks needed for establishing such complex analytics systems. To that end, a prototypical implementation is developed that relies on Linked Data as a technological platform for integrating data from three major tourism data sources: TourMIS, World Bank and Eurostat. Enabled by this integrated data, the ETIHQ Dashboard for data analytics was implemented, the first visual data analytics system that supports cross domain analytics over tourism, economic and sustainability indicators. An exploratory evaluation performed with practitioners shows that this Linked Data enabled system could potentially bring important improvements in terms of execution times and answer quality when compared to current manual approaches typically used by tourism practitioners in daily practice.
STUDI IDENTIFIKASI PENCEMARAN UDARA OLEH TIMBAL (Pb) PADA AREAPARKIR (STUDI KASUS KAMPUS UNIVERSITAS PASUNDAN BANDUNG)

Kontribusi pencemaran udara terbesar berasal dari emisi gas buangan kendaraan bermotor. Salah satu polutan yang dikeluarkan dari proses pembakaran bahan bakar kendaraan bermotor adalah timbal (Pb) yang memiliki efek berbahaya bagi manusia. Tempat parkir ruang tertutup merupakan salah satu tempat yang berpotensitercemar Pb. Alternatif yang dapat digunakan untuk mengetahui pencemaran Pb di udara ambien adalah dengan melakukan pengambilan sampel udara ambien di lokasi tersebut mengunakan alat High Volume Air Sampler (HVAS) Penelitian ini dilakukan pada 2 lokasi parkirtertutup dan 1 lokasi parkir terbuka sebagai pembanding. Tujuan penelitian ini adalahuntuk mengetahui konsentrasi Pb di masing masing lokasi parkir. Pengukuran kualitas udara pada penelitian ini dilakukan selama 3 hari masing masing selama 24 jam pada hari kerja. Metode yang digunakan yaitu pengabuan basah dan analisa sampel menggunakan alat Atomic Absorption Spectrophotometer (AAS) Hasil analisa laboratorium menunjukkan bahwa rata rata kandungan timbal (Pb) pada lokasi I sebesar 4,23 ug/Nm 3 ,Lokasi II 8,93 ug/Nm 3 danlokasi III 0,62 ug/Nm 3 Kandungan timbal (pb) di lokasi I dan II tidak memenuhi standar baku mutu yang sudah ditetapkan oleh pemerintah sedangkan pada lokasi III masih memenuhi standar baku mutu. Banyaknya jumlah dan jenis kendaraan bermotor yang terparkir sangat berpengaruh terhadap besarnya pemaparan Pb di ketiga lokasi tersebut. Selain faktor tersebut ada beberapa faktor yang ikut berkontribusi terhadap besarnya pemaparan pb diantaranya yaitu jenis ruangan parkir dan ventilasi udara di lokasi parkir.  Area Parkir, Pencemaran Udara, Timbal (Pb)