Concrete Results Research Articles

Improvements on the reverse order laws

AbstractIn many papers concerning properties of generalized inverses in different settings, we can find the results with many redundant instances of assuming regularity of certain elements. We have made an effort to widen the range of applicability of concrete results by considering more general cases of the problems without imposing any such additional assumptions. This was the main motivation for this paper, and we present several significant improvements of the reverse order laws on and ‐inverses in the ring setting.

Conventional and Ensemble Machine Learning Models to Predict the Compressive Strength of Fly Ash Based Geopolymer Concrete

Cement is the primary component of concrete, a material that is widely used in the construction world. Due to the release of numerous gases, cement production and its use harm the environment. To mitigate this negative impact, the researchers have developed a solution named “Geopolymer Concrete (GPC)”. Among the various mechanical properties of concrete, the Compressive Strength (CS) of concrete is regarded as one of the crucial criteria in many design codes and standards and its dependency is highly non-linear on its ingredients including supplementary cementitious materials (SCMs). SCMs are pozzolanic materials, and their use in concrete results in the enhancement of its properties. Among the various SCMs, Fly Ash (FlA) is one of the most effective and sustainable material to improve concrete's CS. So, to predict the influence of the materials used along with FlA on the CS of GPC, either it requires the extensive experiments, requiring money and time or use soft computing techniques. With the help of various soft computing techniques, a more reliable model for the prediction of CS was developed, under which the assets can be saved. Also, with the help of these models for CS, we can receive recommendations for how to schedule the construction process and remove the formwork. In this study, the two Conventional Machine Learning (CML) models as Linear Regression, Artificial Neural Network and AdaBoost as an Ensemble Machine Learning (EML) model were developed to predict the CS of FlA based GPC. On comparison, between the developed models, AdaBoost model was found to be the most effective for an accurate CS prediction with Correlation coefficient (R2) as 0.944, Root Mean Squared Error (RMSE) as 2.506 and Mean Absolute Error (MAE) as 1.259. Linear Regression model was deemed to be inferior with R2 as 0.701, RMSE as 5.805 and MAE as 4.502.

Study on properties of concrete using slag as partial replacement of cement

There are numerous greenhouse gases released during cement manufacture that contribute to global warming. Researchers, therefore, concentrate on waste materials that have binding properties that can replace cement without sacrificing its strength. The current paper study's major goal is to examine the strength of the concrete when Ground Granulated Blast Furnace Slag (GGBS) is used to partially replace cement. GGBS is a finely powdered iron slag by-product of the steel-making industry. The mechanical characteristics of M40 grade concrete with partially replaced cement of 30%, 40%, and 50% by GGBS are examined in this study. All mix design specifications and material test data are carried out per IS codes, for a curing time of 7, 14, and 28 days, compression, splitting tensile, and flexural tests were performed on the cube, cylinder, and prism, respectively. The obtained test result of GGBS concrete was compared with control concrete to arrive at an optimum dosage of GGBS. The compressive and tensile strength of GGBS concrete increases up to 40% partial substitution of cement with GGBS, beyond which it begins to reduce, and in the case of flexural strength, there is a sustained growth in flexural strength.

Early assessment and intervention by a dedicated health and social care professional team in the emergency department in older adults compared to treatment-as-usual: Health Economic Analysis Plan for within-trial cost effectiveness analysis

Background: Older adults (aged over 65 years) experience high rates of adverse outcomes after presenting to emergency departments (EDs). The OPTI-MEND trial aimed to examine what impact intervention and early assessment by a dedicated health and social care professional (HSCP) team can have on quality of care for older adults in EDs. This paper presents the finalized Health Economic Analysis Plan (HEAP) specifying how the within-trial cost effectiveness analysis (CEA) will be conducted. Methods: This HEAP was developed retrospectively in collaboration with the OPTI-MEND team and the trial health economist to provide a plan to conduct the CEA. The HEAP aimed to fulfil international recommendations from a consensus of the required items for inclusion in HEAPs. In line with best practice guidelines, and to ensure full visibility in the scientific process, this paper makes the HEAP available in the public domain. Results: This HEAP illustrates the plan we followed when conducting our CEA. As this paper is a protocol it has no concrete results. A detailed list of all items in the HEAP are provided as Extended data on Open Science Framework at https://doi.org/10.17605/OSF.IO/YVG2P. Conclusions: Cost effectiveness analysis is an opportunity to extend beyond the primary clinical analysis of a trial. Congruent to a trial’s statistical analysis plan (SAP), a HEAP outlines the plan for estimating cost effectiveness and avoiding potentially spurious post-hoc analysis and questionable policy recommendations.

청산으로서의 공유재산 분할

When a co-owned asset is to be divided, could the rights and duties of the co-owners against each other be considered in the sense that they are reflected in the concrete result of division? In practice, the question has been raised especially with regard to the division of inheritance. It is, however, an issue which affects the co-ownership in general. This article attempts to answer it from a historical and comparative perspective. The conclusions are as follows.
 1. That the division of a co-owned asset or inheritance has an effect of liquidating the legal relationship between its co-owners (damages, restitution of fruits, compensation for expenses etc.) was already acknowledged in Roman law. The French Civil Code had not known this rule at first, but later introduced it after doctrine and case law had allowed the same result. The corresponding norms can be found in the German Civil Code, too.
 2. Also applying the Korean Civil Code, the interpretation that the legal relationship between the co-owners can be reflected in dividing a co-owned asset or inheritance is definitely possible. It is justified by the division’s purpose, an analogy to art. 1008 and a comparison with dissolution of partnership.
 3. In view of division of inheritance, this rule applies as follows: (1) The burden of inheritance costs should be reflected in division. (2) A substitute asset should be considered according to whether it arises between the co-owners or against a third party. In the former, the substitute asset itself is to be divided. In the latter, damages or restitution claims of the co-owners are to be calculated into the divided share. (3) Fruits or revenues from inheritance can be divided in advance, but are subject to division of inheritance when still extant. (4) Divisible claims and duties divide themselves ipso iure upon devolution of an inheritance. However, they can be redistributed by way of division if necessary for an equitable result.

3D printed biodegradable polymer reinforced concrete with high structural stability

The increase in the utilization of non-degradable polymers in the construction industry has raised reservations regarding eco-friendly and energy-efficient building solutions. The contemporary solution is the natural fiber reinforced concrete that registers low structural stability and high water absorption. The low strength is due to the non-homogenous distribution of fibers in composite causing non-uniform load distribution and water absorption is the result of hydrophilicity of natural fibers. This research proposes, for the first time, the manufacturing of biodegradable reinforcements for concrete in specific geometries using 3D printing (fused deposition modeling). The 3D printed reinforcements of polylactic acid concentrate the load in a uniform direction during compressive, flexure, and tensile testing. The reinforcements are tested with respect to different orientations and thicknesses in the concrete composite. The stability to water absorption is investigated using BS 1881 standard followed by post-water absorption compressive testing for concrete composites. The research presents in-situ image analysis for all mechanical characterizations that reveals true fracture behavior along with the validation of mechanical results. The flexure strength shows significant increase to 10.8 MPa as compared to the plain concrete samples. The water absorption test also shows prominent reduction of water absorption to 4.3 % as compared to 7.7 % of plain concrete sample. Overall, the novel reinforced concrete results in superior mechanical properties and moisture stability as compared to the plain (control) concrete and natural sisal fiber reinforced concrete composite.

Зелене мікрофінансування в Європі: регуляторні тенденції та сучасна практика

Abstract. Introduction. Climate change requires actions that must be directed at both mitigation and adaptation. Many sectors of the economy will feel the impact of this process, so they will need comprehensive measures to successfully conduct operational activities in new conditions. This generates great needs for financing, which in turn provides great opportunities for the MFIs. Purpose. The main purpose of the academic paper is to study the peculiarities of regulation and practical application of "green" microfinancing in EU countries, which will contribute to faster adaptation of Ukraine to European requirements and practices in the field of green "microfinancing". Results. For European microfinance institutions (MFIs), which are in close contact with vulnerable groups and specialized in supporting them with financial and non-financial services, the integration of green practices and products into their business models is an opportunity to meet the needs of vulnerable populations by pursuing a triple bottom line (positive social & environmental impact and financial sustainability). At the EU and global level, we are witnessing a growing societal and political interest in sustainability and climate change, which is expected to shape the microfinance sector’s activities. The EU has accelerated the pace of the green transition in recent years with several regulatory developments, such as the Action Plan on Sustainable Growth, EU taxonomy, and European Green Deal. Bringing green finance to the forefront will have concrete impacts and provide opportunities for the development of the sector. Other initiatives that will soon impact MFIs include the adoption of new green standards by he inclusive finance sector (e.g., Green Index 3.0) or the introduction of an environmental clause in the European Code of Good Conduct for microcredit provision, which might have an effect on investor reporting requirements, as well as material opportunities available to MFIs. Conclusions. The research conducted makes it possible to argue that in recent years the EU has accelerated the pace of the "green" transition with the help of several regulatory developments, such as the Sustainable Growth Action Plan, the EU Taxonomy and the European Green Deal. Bringing green finance to the fore will have concrete results and create opportunities for the sector to grow. Other initiatives that will soon affect MFIs include the adoption of new environmental standards in the inclusive financial sector (e.g. Green Index 3.0) or the introduction of an environmental clause in the European Code of Conduct for microcredit, which may affect investor reporting requirements as well as facilities available to MFIs. Constant monitoring of the evolution of the initiatives summarized in the work is key to supporting the sector in preparing for the future stimulation of innovation and the use of financing opportunities in EU countries, as well as the introduction of green microfinancing in modern Ukrainian realities.

A generic methodology for the statistically uniform & comparable evaluation of Automated Trading Platform components

Introduction:Although machine learning approaches have been widely used in the field of finance, to very successful degrees, these approaches remain bespoke to specific investigations and opaque in terms of explainability, comparability, and reproducibility. Objectives:The primary objective of this research was to shed light upon this field by providing a generic methodology that was investigation-agnostic and interpretable to a financial markets’ practitioner, thus enhancing their efficiency, reducing barriers to entry, and increasing the reproducibility of experiments. The proposed methodology is showcased on two automated trading platform components. Namely, price levels, a well-known trading pattern, and a novel 2-step feature extraction method. Methods:This proposed a generic methodology, useable across markets, the methodology relies on hypothesis testing, which is widely applied in other social and scientific disciplines to effectively evaluate the concrete results beyond simple classification accuracy. The first hypothesis was formulated to evaluate whether the selected trading pattern is suitable for use in the machine learning setting. The second hypothesis allows us to systematically assess whether the proposed feature extraction method leads to any statistically significant improvement in the automated trading platform performance. Results:Experiments were conducted across, 10 contracts, 3 feature spaces, and 3 rebound configurations (for feature extraction), resulting in 90 experiments. Across the experiments we found that the use of the considered trading pattern in the machine learning setting is only partially supported by statistics, resulting in insignificant effect sizes (Rebound 7 - 0.64±1.02, Rebound 11 0.38±0.98, and rebound 15 - 1.05±1.16), but allowed the rejection of the null hypothesis based on the outcome of the statistical test. While the results of the proposed 2-step feature extraction looked promising at first sight, statistics did not support this, this demonstrated the usefulness of the proposed methodology. Additionally, we obtained SHAP values for the considered models, providing insights for adjustments to the feature space. Conclusion:We showcased the generic methodology on a US futures market instrument and provided evidence that with this methodology we could easily obtain informative metrics beyond the more traditional performance and profitability metrics. The interpretability of these results allows the practitioner to construct more effective automated trading pipelines by analysing their strategies using an intuitive and statistically sound methodology. This work is one of the first in applying this rigorous statistically-backed approach to the field of financial markets and we hope this may be a springboard for more research. A full reproducibility package is shared.

The Concept of De-Radicalization as a Source of Confusion

The theme of the relationship between religious freedom and security has, over the last twenty years, acquired such centrality that hitherto unknown or little-used concepts have entered the public and specialized debates. Prominent among these is regarding the most concrete and important long-term public intervention in the fight against extremism on a religious matrix, i.e., de-radicalization, often simplistically understood as the opposite, or reverse, of a radicalization process. The activity of de-radicalization, therefore, must first be defined in its theoretical sense to grasp its real meaning and objectives; then, it is necessary to identify its content in practice, trying to understand its founding themes and limits. The risk of such a public intervention is interfering with the deepest sphere of the individual, with his or her religiosity and intentions, overstepping the limits derived from the different types of secularism (as Italian laicità or French laïcité) that characterize the State, requiring it to consider individual conscience as impassable territory. On the other hand, ignoring the intimate dimension of the subject can lead to complete ineffectiveness of a de-radicalization activity, which thus risks being reduced to a mere illustration of content. This contribution, starting from these difficulties, intends to outline, from a juridical perspective and specifically from a law and religion perspective, a hypothesis for a public de-radicalization strategy, capable of achieving concrete results but simultaneously respectful of the constitutional principles in which it is necessarily embedded, focused on the concept of responsibility.

Space-Dependent Calculation of the Multiplicity Moments for Shells With the Inclusion of Scattering

In recent work, we extended the methodology of multiplicity counting in nuclear safeguards by elaborating the one-speed stochastic transport theory of the calculation of the so-called multiplicity moments, i.e., the factorial moments of the number of neutrons emitted from a fissile item, following a source event from an internal neutron source [spontaneous fission and () reactions]. Calculations were made for solid spheres and cylinders, with the source being homogeneously distributed within the item. Recent measurements of the Rocky Flats Shells during the Measurement of Uranium Subcritical and Critical (MUSIC) campaign conducted by Los Alamos National Laboratory and assisted by the University of Michigan inspired us to extend the model to spherical shell geometry with a point source in the middle of the central cavity. Comparison of the calculated results with the experimental ones indicated that accounting for fission as the only neutron reaction (the standard procedure in the point model, adapted also in our work so far) was not sufficient for reaching good agreement with measurements. The model was therefore extended to include elastic scattering into the one-speed formalism, whereas the effect of inelastic scattering was accounted for in an empirical way. After these extensions, good agreement was found between the calculated and the measured values. The paper describes the extension of the theory and provides concrete quantitative results.

Prediction of blast response of RC columns considering dynamic bond-slip between reinforcement and concrete

The bond behaviour between reinforcement and concrete is one of the critical factors that govern the capacity of reinforced concrete (RC) structures as it ensures the composite action that makes the reinforcements and concrete respond together to resist external loads. The influences of bond behaviour between steel reinforcement and concrete on RC structures under static loading have been intensively investigated. The influences under dynamic loading conditions, especially high-rate impact and blast load, however, are not well studied yet. For accurate prediction of RC structure responses subjected to blast or impact load, the influences of dynamic bond-slip should be considered. In this study, the dynamic pullout tests between reinforcement and concrete up to strain rate of 100/s were carried out first to investigate the strain rate effect on bond-slip relation. The obtained strain-rate dependent dynamic bond-slip relation was incorporated into a numerical model developed in LS-DYNA to predict RC column responses subjected to blast loads. The model was validated by simulating field blast test on an RC column carried out by other researchers. Using the validated numerical model, case studies representing different blast loading conditions were conducted to investigate the influences of considering or not considering, i.e., perfect bond assumption, the bond-slip on predictions of RC column responses. It is found that the numerical model considering dynamic bond-slip is capable of improving the prediction accuracy of blast responses of RC columns. The assumption of perfect bond has a minor effect on the predicted maximum mid-height deflection of the column, but results in an underprediction of the residual deflection and an overestimation of residual strength. As a result, neglecting bond-slip between rebar and concrete results in overprediction of RC column residual loading capacity. The results indicate the necessity of considering dynamic bond-slip in numerical simulation of RC structure responses subjected to blast or impact loads.

Three-body harmonic molecule

In this study, the quantum three-body harmonic system with finite rest length R and zero total angular momentum L = 0 is explored. It governs the near-equilibrium S-states eigenfunctions of three identical point particles interacting by means of any pairwise confining potential that entirely depends on the relative distances between particles. At R = 0, the system admits a complete separation of variables in Jacobi-coordinates, it is (maximally) superintegrable and exactly-solvable. The whole spectra of excited states is degenerate, and to analyze it a detailed comparison between two relevant Lie-algebraic representations of the corresponding reduced Hamiltonian is carried out. At R > 0, the problem is not even integrable nor exactly-solvable and the degeneration is partially removed. In this case, no exact solutions of the Schrödinger equation have been found so far whilst its classical counterpart turns out to be a chaotic system. For R > 0, accurate values for the total energy E of the lowest quantum states are obtained using the Lagrange-mesh method. Concrete explicit results with not less than eleven significant digits for the states are presented in the range a.u. In particular, it is shown that (I) the energy curve develops a global minimum as a function of the rest length R, and it tends asymptotically to a finite value at large R, and (II) the degenerate states split into sub-levels. For the ground state, perturbative (small-R) and two-parametric variational results (arbitrary R) are displayed as well. An extension of the model with applications in molecular physics is briefly discussed.

Identification and Illustration of Means to a Critical Assessment of Music and Health Research Literature

In 2019, the WHO released a scoping review investigating art therapies in evidence-based healthcare practices to identify and understand the gaps in the literature. However, the studies curated were not evaluated for their quality. To address this limitation, several assessment tools to critically appraise music-based research studies that investigate therapies pertaining to preventative healthcare were investigated. Two critical appraisal tools were selected for their robustness and appropriateness for the studies in question: the Joanna Briggs Institute checklists and the Music-Based Intervention Guidelines. These tools were tested by two assessors on a total of 23 music studies from the Preventative and Prevention Health section of the WHO report. Based on the requirements for each critical appraisal tool, seven studies received a full assessment utilizing both checklists. Of these seven, two studies scored on the higher index, indicating that the studies followed a detailed methodology to provide concrete and accurate results. The findings of the study highlighted the limitations of study designs and music-based interventions. With this information, beneficial recommendations for future research in this domain are provided to improve the quality of research, ensuring its place in evidence-based healthcare practices.

Influence of effective microorganisms on the rheology and fresh state properties of SCMs-based concrete for digital fabrication

A reduction in the cost and anthropogenic CO2 emissions of Portland cement production can be achieved by adding supplementary cementitious materials (SCMs) obtained from industrial origins, like fly ash, silica fume, slagments, and naturally available such as limestone and kaolinitic clay. Replacement of large quantities of cement with SCMs profoundly influences the fresh and mechanical characteristics of structural concrete. This study presents an experimental investigation to evaluate the influence of effective microorganisms (EM) on freshly mixed fly ash- and limestone calcined clay (LC2) cement-based fibre-reinforced printable concrete (FRPC). EM is a mixture of three different microorganisms: photosynthetic bacteria, lactic acid bacteria, and yeast. Its inclusion complements green concrete and is environmentally friendly for a sustainable environment. Four mixes (i.e., fly ash cement-based mix, LC2 cement-based mix, and both mixes induced by EM) were prepared and examined to achieve printable concrete of varying rheological properties, and tested for slump and slump flow, setting/open time, rheological characterisation of various parameters, and buildability performance. The findings from this study revealed that the SCMs and the EM considered exhibited satisfactory material rheological performance and other unique characteristics identified as critical early-age properties for suitable 3D printability. In addition, near zero slumps were displayed for all the mixes and the slump flows were in the range of 140 – 160 mm after standard small slump flow table impact agitation, implying remarkable and adequate results for printable concrete. The penetration, bleeding, and segregation was also reduced when compared with no SCM inclusion. Conclusively, good relationships between the fresh properties and buildability quantification are also presented.

The true value of a forecast: Assessing the impact of accuracy on local energy communities

Energy communities have become a key component of growing smart grids that integrate distributed renewable energy resources, energy storage technologies, and load management techniques. The random nature of the weather causes challenges for the reliability, power quality, and supply–demand balance of such microgrids. Therefore, energy demand forecasts are increasingly crucial for the effective and continuous operation of the power grid. They also aid in achieving the best possible use of resources to push the limits of self-sufficiency. This study examines not only the quality but the so-called value of a forecast from the point of choosing a forecasting approach. Usually, forecasting approaches are ranked using quality metrics, such as the mean absolute percentage error (MAPE) or root mean square error (RMSE). In addition, the value of a forecast is considered in this study by measuring concrete results for a local energy community (LEC), such as the load cover factor, supply cover factor, on-site energy ratio, and cost of electricity. These evaluations are based on a model of an LEC that includes not only the electric components but also a building and a selected heat pump system for space heating and cooling that is fully dynamical. The optimal operation of this exemplary LEC and the integration of demand forecasts for electricity and domestic hot water (DHW) are achieved with model predictive control (MPC). Several relevant studies on management in LEC are available, but almost none of the publications examine demand forecasting strategies and optimal building asset optimisation at the same time. This research provides two major contributions: first, by developing a more comprehensive framework to assess forecasting performance with reference to energy communities; and second, by highlighting the connection between quality and value indicators of forecasts in the context of energy communities. This study’s findings show that depending solely on quality metrics when choosing a forecasting approach is insufficient and gives no clear statement about the true value of a forecast. This paper identifies the impact of more accurate forecasts on energy community performance measures and attempts to provide an outlook on theoretically achievable improvements based on significantly better forecasts. Finally, this work highlights several open research issues and prospects.

Development of observation strategies from mission design to operations: illustration with Mars moons Explorer infrared spectrometer (MIRS)

MIRS is part of the French contribution to the Martian Moons eXploration (MMX) mission that will be launched in 2024 by the Japan Aerospace Exploration Agency (JAXA). It is a near-infrared imaging spectrometer developed by the French Laboratory of Space Studies and Astrophysics Instrumentation (LESIA), of the Observatoire de Paris – PSL, with close cooperation and financial support from CNES. One of the major mission goals is to understand the origin of Phobos and Deimos, providing important insights into planetary formation and the transfer of matter in the region connecting the inner and outer solar system.During the four years of the mission, the MIRS control centre will provide precise sequencing of MIRS activities and guidance of its line of sight, with two main drivers: optimize scientific return and comply with the operability constraints of the instrument, the satellite and the system. In this perspective, observation strategies are designed, modelled and tested iteratively throughout all preparation phases of the mission. Discussions on concrete simulation results and illustrations improve mutual understanding, raise unexpressed needs and constraints and promote feedback on the efficiency of the proposed strategies. They also favour a global optimization of the entire system with the refinement of the trajectories and of the scheduling considering the seasons of the Martian system.This paper describes the whole process of observation strategies development in cooperation with the MMX and MIRS system and scientific teams, as well as the current status and results.

TO STUDY THE EFFECT OF COMBINED ANTEVERSION IN TOTAL HIP REPLACEMENT

Introduction: In normal day-to-day life, the hip joint is the type of joint that undergoes a lot of stress during a persons normal daily activities. Since the hip joint is a vital joint that supports all joints in the body, normal and proper functioning of this joint is essential for maintaining a pain-free daily life.The overall success rate of total hip arthroplasty is largely determined by its ability to maintain hip stability and mobility while reducing pain in associated hip pathologies. The total joint replacement situation is in a state of constant development. Phillip Wiles was the first total hip replacement surgeon in London in 19381. Accurate positioning of the femoral and acetabular components is considered a prerequisite for successful total hip arthroplasty4-8. The optimal position of the stem and cup is an average anteversion angle of approximately 37 degrees (range: 25 to 50 ◦) 9-11 to avoid impingement and/or dislocation. Cup-to-stem or bone-to-bone impingement causes dislocation, accelerated wear, and pain in patients undergoing total hip replacement 12. McKibbin 13 first introduced the term in a study of infant cadavers and defined a total anteversion of 30 to 40 with his 15 anteversion of the femur as normal. Lewinnek8 defined his zone of safe cup alignment as his tilt of 40° ± 10° and his anteversion (AV) of 15° ± 10°.The Ranawat test is a visual assessment of compound anteversion when the femoral neck and head are flush with the acetabular opening. The angle of internal rotation to make the head and socket coplanar is combined anteversion.14 Therefore, dislocation is an important and critical complication which has to be avoided. In our study we are calculating combined version in total hip arthroplasty which will helpful in assessing the cup position post operatively with this we can assess the relation of stability of hip and functional outcome. Getting combined anteversion in safe zone of 40◦ ± 10◦ is important for surgeon to give patients a comfortable daily activities of living. Result: In our study, the mean total score was 90.10 ± 7.59in the postoperative 6 months period. Postoperative functional outcomes by Harris Hip Score at the end of the 6 months follow-up study were excellent in 17 patients (56.7%) and good in 11 patients(36.7%). Majority of the patients had good to excellent Harris Hip Score at final outcome with mean combined version 25-50%. Conculsion:The outcome of total hip arthroplasty performed depends on several factors, including component design, patient selection, mean bond angle, and surgical technique, determined by the outcome of the procedure should be evaluated in long-term studies. Our study suggests a favorable prognosis and outcome in the 20–60-year-old group with a mean age of 33.4. Of the 30 patients tested, 29 had a favorable postoperative outcome with normal range of combined version whose functional outcome is measured by the Harris Hip Score. The prosthesiss success and longevity depend on the restoration of the hip joints biomechanics .The goal was always to get the center of rotation back, limb length, medial and vertical offsets. Although this study was not without complications, the overall functional and clinical outcomes were excellent. Our study will require further follow-up and new patients as we were unable to obtain concrete results due to the small sample size.

Confined hydrogen atom: endohedrals H@C36 and H@C60

In this work, for the lowest states with angular momentum, the energies and eigenfunctions of the endohedrals H@C36 and H@C60 are presented. The confining spherically-symmetric barrier was modeled by an inverted Gaussian function of depth ω 0, width σ and centered at r c , . The spectra of the system as a function of the parameters () is calculated using three distinct numerical methods: (i) Lagrange-mesh method, (ii) fourth order finite differences and (iii) the finite element method. Concrete results with not less than 11 significant figures are displayed. Also, within the Lagrange-mesh approach the corresponding eigenfunctions and the expectation value of r for the first six states of , and d symmetries, respectively, are presented as well. Our accurate energies are taken as initial data to train an artificial neural network that generates faster and efficient numerical interpolation. The present numerical results improve and extend those reported in the literature.

Transient response and performance of prestressed concrete deep T-beams with large web openings under impact loading

Abstract This study reports testing results of the transient response of T-shape concrete deep beams with large openings due to impact loading. Seven concrete deep beams with openings including two ordinary reinforced, four partially prestressed, and one solid ordinary reinforced as a reference beam were fabricated and tested. The effects of prestressing strand position and the intensity of the impact force were investigated. Two values for the opening’s depth relative to the beam cross-section dimensions were inspected under the effect of an impacting mass repeatedly dropped from different heights. The study revealed that the beam’s transient deflection was increased by about 50% with greater amplitudes for response oscillations due to impact loading as the impact force increased twice. The results showed that the transient strains in the reinforcement and concrete increased when increasing the opening depth with higher amplitudes for the response oscillations, whereas it had a minimal effect on the beam’s transient deflection. The reinforcement and concrete strain results indicated a higher damping for the strains as the prestressing strands were introduced. Comparison with solid deep beam response showed remarkable increase in the beam deflection and strains with greater amplitudes for response oscillations when large openings were introduced in the web.

Reviewing the potentials of MMOGs as research environments: A case study from the strategy game Travian.

Massively Multiplayer Online Games (MMOGs) provide many opportunities for scientists. Previous research ranges from personality trait prediction to alternative cancer treatments. However, there is an ongoing debate on whether these virtual worlds are able to represent real world scenarios. The mapping of online and offline findings is key to answering this question. Our work contributes to this discussion by providing an overview of the findings from network-based team and leadership research and by matching them with concrete results from our MMOG case study. One major finding is that team size matters. We show that high diversity in the type of teams is a major challenge, especially when combined with the immense amount of data in MMOGs. In our work, we discuss these issues and show that a well-grounded understanding of the data and the game environment makes it possible to overcome these limitations. Besides the team size, the aggregation periods play an important role. Regarding MMOGs as research environments, we show that it is important to pay close attention to the specific game-related contexts, the incentive structures, and the downside risks. Methodologically, we apply support and communication networks to show the influence of certain group-based measures (e.g., density, transitivity) as well as leadership-centered characteristics (e.g., k-core, group centrality, betweenness centralization) on team performance. Apart from our findings on centralization in communication networks, we are able to demonstrate that our results confirm the theoretical predictions which suggest that the behavioral patterns observed in MMOG teams are comparable to those observed in offline work teams.