8 research outputs found
Initial porosity of random packing: Computer simulation of grain rearrangement
No full textThe initial porosity of clastic sediments is poorly defined. In spite of this, it is an important parameter in many models that describe the diagenetic processes taking place during the burial of sediments and which are responsible for the transition from sand to sandstone. Diagenetic models are of importance to predict the sub-seismic heterogeneity of reservoir rock. Also, initial porosity is an important parameter for decompaction routines to reconstruct the burial history of rock used to determine the maturation of oil source rock. Measurement of initial porosity is usually difficult, because unconsolidated sediments are easily disturbed during sampling and because sediments close to the surface already have been subjected to varying degrees of compaction. Neither is it possible to observe the processes that take place during compaction, since these take place over geological time scales. Laboratory experiments do not allow us to accurately mimic these processes due to the relatively short time span available. For these reasons, no analytical methods exist to quantify the relation between the grain-size distribution, grain shape and the (initial) porosity. Therefore, these parameters are ignored in many models that describe porosity loss, despite the knowledge that they have a large influence on the heterogeneities inside a sand body. In this thesis an object-based simulation model is presented that is used to improve our insight into the relation between the parameters of the grain-size distribution, the initial porosity of sandy sediments, and the evolution of porosity decrease during the initial phase of compaction. The model is capable of simulating all different types of disordered packing in a proces-based approach without significant boundary effects. The possibility to simulate all kinds of packings of different size distributions offers also many opportunities to study the effect of different depositional mechanisms of sediments on rockproperties (such as porosity).Civil Engineering and Geoscience
Reservoir characterisation using process-response simulations: The Lower Cretaceous Rijn Field, West Netherlands Basin
No full textPetroleum geologists always need to deal with large gaps in data resolution and coverage during reservoir characterisation. Seismic data shows only large geological structures, whereas small-scale structures and reservoir properties can be observed only at well locations. In the area between wells, these properties are often estimated by means of geostatistics. Numerical simulations of sedimentary processes offer an alternative method to predict these properties and can improve the understanding of the controls on reservoir heterogeneity. Although this kind of modelling is widely used on basin scale in exploration geology, its application on field scale in production geology is virtually non-existent. We have assessed whether the recent developments in numerical modelling can also aid petroleum geologists in the interpretation of the reservoir geology. Seismic data, well data and a process-response model for coastal environments were used to characterise the Lower Cretaceous oil-bearing Rijn Field. Interpretation of seismic and well data led to a definition of the structural setting and the depositional model of the Rijn Member in the area. From the sedimentological interpretation the sea-level history could be estimated, which is the one of the most important input parameters for the process-response model. Application of the process-response simulator to the Rijn Field resulted in approval of the depositional model. The output was presented in a 2-dimensional north-south profile, which corresponds very well to the well logs along this section. The results demonstrate that numerical simulations of geological processes can be very useful as a tool to explore many likely geological scenarios. While it cannot be used to supply a unique solution in many cases, it forms a helpful guide during reservoir characterisations to find an optimal scenario of the controls on deposition of the Rijn Member, which contributes to the understanding of the inter-well reservoir heterogeneityCivil Engineering and Geoscience
Diagnostic and predictive applications of functional near-infrared spectroscopy for major depressive disorder: A systematic review
No full text10.3389/fpsyt.2020.00378Frontiers in Psychiatry1137
A granular Discrete Element Method for arbitrary convex particle shapes: method and packing generation
No full textA novel granular discrete element method (DEM) is introduced to simulate mixtures of particles of any convex shape. To quickly identify pairs of particles in contact, the method first uses a broad-phase and a narrow-phase contact detection strategy. After this, a contact resolution phase finds the contact normal and penetration depth. A new algorithm is introduced to effectively locate the contact point in the geometric center of flat faces in partial contact. This is important for a correct evaluation of the torque on each particle, leading to a much higher stability of stacks of particles than with previous algorithms. The granular DEM is used to generate random packings in a cylindrical vessel. The simulated shapes include non-spherical particles with different aspect ratio cuboids, cylinders and ellipsoids. More complex polyhedral shapes representing sand and woodchip particles are also used. The latter particles all have a unique shape and size, resembling real granular particle packings. All packings are analyzed extensively by investigating positional and orientational ordering
Dangers of mixed martial arts in the development of chronic traumatic encephalopathy
No full text10.3390/ijerph16020254International Journal of Environmental Research and Public Health16225
explainable insights and personalized digital health tools for psoriatic arthritis
No full textFunding Information: The authors wish to acknowledge all members of the iPROLEPSIS consortium, comprising of partners from the ARISTOTLE UNIVERSITY OF THESSALONIKI (Greece), ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM (The Netherlands), UNIVERSITY OF OXFORD (UK), FACULDADE DE MOTRICIDADE HUMANA (Portugal), THE HEBREW UNIVERSITY OF JERUSALEM (Israel), TECHNISCHE UNIVERSITAET MUENCHEN (Germany), CENTER FOR RESEARCH & TECHNOLOGY HELLAS-CERTH (Greece), STICHTING CICERO-COLLECTIEF INITIATIEF VOOR CREATIEF EN EDUCATIEF REUMA ONDERZOEK (The Netherlands), SOCIEDADE PORTUGUESA DE REUMATOLOGIA (Portugal), NETCOMPANY-INTRASOFT SA (Luxembourg), AINIGMA TECHNOLOGIES (Belgium), SMARTSOL SIA (Latvia), DBC EUROPE (Belgium), PLUX - WIRELESS BIOSIGNALS S.A. (Portugal), and WELLICS LTD (UK). iPROLEPSIS has received funding from the European Union's Horizon Europe Research and Innovation Programme under Grant Agreement No. 101095697. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or European Health and Digital Executive Agency. Neither the European Union nor the European Health and Digital Executive Agency can be held responsible for them. Moreover, L.J.H. acknowledges support from Khalifa University of Science and Technology, Abu Dhabi, UAE, Provost's Office Grant. The funding sources had no role in the writing of the manuscript or the decision to submit it for publication. Publisher Copyright: © 2025 The Author(s)The shift from traditional to technology-based diagnosis and management of psoriatic arthritis (PsA) represents a significant evolution in patient care. Traditionally, PsA was diagnosed and managed through clinical evaluations, physical examinations, and basic imaging techniques. With the evolution of digital technologies, the PsA care is transforming, giving rise to the field of digital rheumatology. In this vein, Europe has invested in research initiatives, like iPROLEPSIS, that could accelerate this transformation and redefine PsA care within a digital world. In this Viewpoint we present the current clinical PsA landscape, highlight the PsA patients' interaction with the digital world, and showcase the novel iPROLEPSIS digital offerings. The latter scaffold digital rheumatology by identifying PsA key drivers. Moreover, they support personalized PsA risk prediction and improve early PsA detection. Furthermore, they enable precise PsA treatment strategies and digital therapeutics within a novel digital health ecosystem.publishersversionpublishe
Nutritional strategies in the rehabilitation of musculoskeletal injuries in athletes: a systematic integrative review - PROTOCOL
No full text1. OBJECTIVE
The aim of this systematic integrative review was to update the effective nutritional strategies that benefit the rehabilitation of musculoskeletal injuries in elite athletes.
2. METHODS
This study employed the five stages developed by Whittemore and Knafl [1] as the established guidelines of the integrative review. This allows the combination of available experimental and non-experimental research, which has a greater impact to establish evidence-based recommendations. The aim of this was to synthesize the occurrence of literature regarding nutrition interventions for the injured athlete. Similar to previously published articles [2], the review methodology was enhanced by optimizing the stages of literature search, data evaluation and data analysis in order to systematize the review process and improve the scientific soundness according to recommendations given by Hopia et al. [3] and the PRISMA in Exercise, Rehabilitation, Sport Medicine and Sports Science (PERSiST) guidelines [4].
2.1. Eligibility criteria
The inclusion criteria for this review were as follows: (1) empirical or theoretical articles (quantitative, qualitative, mixed methods studies, and systematic reviews) that assessed or included elite/high-performance male and female athletes over 18 years of age. In the case of the review articles, it was taken into account that they reported or discussed the use of nutrients in the rehabilitation phase after a musculoskeletal sports injury; (2) studies published between 2012 and 2020; (3) written in the English and Spanish language; (4) full text available; and (5) focused solely on the assessment of nutritional (energy intake, macronutrient distribution, micronutrients, etc.) or supplementation strategies during the rehabilitation process in injured athletes. On the other hand, the exclusion criteria consisted of articles that: (1) included children, older adults, physically active people, amateur or recreational population and non-conventional athletes; (2) commentaries, dissertations, theses, editorials, letters to the editor, and books; 3) interventions where dosage and timing of intake of nutrients and sports supplements were not specified; and (4) that did not analyze the relationship between nutrition and musculoskeletal sports injuries (e.g., concussions).
2.2. Information sources
The following academic databases were selected to examine the literature: PubMed/Medline, Scopus, PEDro and Google Scholar.
2.3. Search strategy
The authors followed the identical string in searching the databases to ensure consistency with the data search, as follows: i) Pubmed/MedLine, (Nutrition OR supplementation) AND sports AND inju*, and “sports injuries” OR “athletic injuries” OR “sport injury rehabilitation” AND (nutrition OR dietary supplements); ii) Scopus, “sports injuries” OR “athletic injuries” OR “sport injury rehabilitation” AND (nutrition OR dietary supplements). In addition, further papers were hand searched in PEDro and Google Scholar. The data search was performed by using free language terms such as nutrition, supplementation and musculoskeletal injuries.
2.4. Selection process
After executing Boolean algorithms, filters were used in the different databases to select potentially eligible articles. Four authors independently evaluated the databases for articles that met the inclusion criteria (J.E.G-V., M.A.C-G., E.J.R-A. and D.A.B.). Discrepancies were identified and resolved through discussion (with a forth author where necessary). Those publications that met all the requirements went on to the next phase of data analysis and synthesis. Search of the databases took place during August and October 2022 to capture relevant articles for the review.
2.5. Data collection process and items
A table to synthesize results and findings was built with the following data: i) general information on the study (title, author, year and type of study); ii) description of the study population; iii) study aim and methodology; iv) characteristics of the nutritional and/or supplementation strategy (timing and dosage); and v) main findings of the study.
2.6. Study risk of bias assessment
Risk of bias assessment for randomized clinical studies was performed using the Cochrane RoB 2.0 tool [5]. Five bias domains (randomization process, deviations from intended interventions, missing outcome data, outcome measurement, and selection of the reported outcomes) were evaluated [6]. The overall assessment of the risk of bias for each outcome was presented as: "low risk", "some concerns" or "high risk" of bias. We used the AMSTAR 2 tool in order to assess the methodological quality of the selected review articles [7]. The 16 items presented to determine the classification of the systematic review as "reliable" or "not very valid" were considered [8].
REFERENCES
[1]. Whittemore, R.; Knafl, K. The integrative review: updated methodology. Journal of Advanced Nursing 2005, 52, 546-553, doi:10.1111/j.1365-2648.2005.03621.x
[2]. Bonilla, D.A.; Cardozo, L.A.; Velez-Gutierrez, J.M.; Arevalo-Rodriguez, A.; Vargas-Molina, S.; Stout, J.R.; Kreider, R.B.; Petro, J.L. Exercise Selection and Common Injuries in Fitness Centers: A Systematic Integrative Review and Practical Recommendations. Int J Environ Res Public Health 2022, 19, doi:10.3390/ijerph191912710
[3]. Hopia, H.; Latvala, E.; Liimatainen, L. Reviewing the methodology of an integrative review. Scandinavian Journal of Caring Sciences 2016, 30, 662-669, doi:10.1111/scs.12327
[4]. Ardern, C.L.; Büttner, F.; Andrade, R.; Weir, A.; Ashe, M.C.; Holden, S.; Impellizzeri, F.M.; Delahunt, E.; Dijkstra, H.P.; Mathieson, S.J.B.j.o.s.m. Implementing the 27 PRISMA 2020 Statement items for systematic reviews in the sport and exercise medicine, musculoskeletal rehabilitation and sports science fields: the PERSiST (implementing Prisma in Exercise, Rehabilitation, Sport medicine and SporTs science) guidance. 2022, 56, 175-195.
[5] Sterne, J.A.C.; Savović, J.; Page, M.J.; Elbers, R.G.; Blencowe, N.S.; Boutron, I.; Cates, C.J.; Cheng, H.Y.; Corbett, M.S.; Eldridge, S.M.; et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ (Clinical research ed.) 2019, 366, l4898, doi:10.1136/bmj.l4898
[6] Büttner, F.; Winters, M.; Delahunt, E.; Elbers, R.; Lura, C.B.; Khan, K.M.; Weir, A.; Ardern, C.L.J.B.J.o.S.M. Identifying the ‘incredible’! Part 2: Spot the difference-a rigorous risk of bias assessment can alter the main findings of a systematic review. 2020, 54, 801-808.
[7] Shea, B.; Grimshaw, J.; Wells, G.; Boers, M.; Andersson, N.; Hamel, C.; Porter, A.; Tugwell, P.; Moher, D.; Bouter, L.J.H., ON: McMaster University. AMSTAR: assessing methodological quality of systematic reviews. 2011.
[8] Shea, B.J.; Reeves, B.C.; Wells, G.; Thuku, M.; Hamel, C.; Moran, J.; Moher, D.; Tugwell, P.; Welch, V.; Kristjansson, E.J.b. AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. 2017, 358.
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Association between pet ownership and physical activity levels, atopic conditions, and mental health in Singapore: a propensity score-matched analysis
No full text10.1038/s41598-020-76739-2Scientific Reports1011989
