DECOMPOSITION ANALYSIS OF FACTOR COST SHARES: THE CASE OF GREEK AGRICULTURE

An alternative version of decomposition analysis, based on factor cost shares rather than input demand functions, is presented and applied to Greek agriculture. Decomposition analysis shows that most of the changes in factor cost shares during the period from 1973 to 1989 are attributed to technical change and factor substitution, while the role of the scale effect is small, except that of fertilizer. The decomposition analysis results are then used to analyze the implications of Greece's fertilizer and feed subsidy removal, which took place in 1990.Decomposition analysis, Factor cost shares, Greek agriculture, Farm Management,

ArchGenTool: a System-Independent Collaborative Tool for Robotic Architecture Design

Complex robotic architectures require a collaborative effort in design and adherence to the design in the implementation phse. ArchGentTool is a collaborative architecture generation tool which supports the design of the robotic architecture in a multi-level fashion. It comprises high-level conceptual analysis of the system to be designed, as well as low-level implementation breakdown of its functional components, acting complementary to the ROS framework. The tool facilitates reusability and expandability of the architecture to any robotic system, as it can be adapted to different specifications. A case study with the RAMCIP service robot is presente

Tackling the Temporal Stiffness of Kinetic Monte Carlo Simulations of Well-Mixed Chemical Systems via On-the-Fly Scaling and Cost-Error Optimization

Reaction kinetics in biological systems are often subject to stochastic effects due to the low populations of reacting molecules, necessitating the adoption of kinetic Monte Carlo methods for their study. Such methods, however, can be computationally expensive, especially in the case of stiff systems, where some reactions are executed at much higher frequencies than others. We present an algorithm that reduces the reaction rate constants of the fast processes on-the-fly, thereby saving computational time, while keeping the approximation error within desirable limits. The algorithm couples the Modified Next Reaction Method for simulating stochastic systems with the Common Random Number framework and calculates accurate metrics for both the computational cost and approximation error by generating multiple sets of trajectories that correspond to increasingly reduced (downscaled) reaction rate constants. The optimum downscale factor is chosen via optimization of two conflicting objectives: (a) maximizing the speedup and (b) minimizing the approximation error introduced, and it is straightforward to tune the performance of the method, favoring accuracy versus speed or vice versa. Our approach is demonstrated on a biology-inspired well-mixed stiff system and is shown to accelerate the stochastic simulation thereof from 66 h down to 90 min, achieving a speed-up factor of 44×, without distorting the dynamics of the system studied

Coagulation disorders in coronavirus infected patients: COVID-19, SARS-CoV-1, MERS-CoV and lessons from the past

© 2020 Elsevier B.V. Coronavirus disease 2019 (COVID-19) or severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus strain disease, has recently emerged in China and rapidly spread worldwide. This novel strain is highly transmittable and severe disease has been reported in up to 16% of hospitalized cases. More than 600,000 cases have been confirmed and the number of deaths is constantly increasing. COVID-19 hospitalized patients, especially those suffering from severe respiratory or systemic manifestations, fall under the spectrum of the acutely ill medical population, which is at increased venous thromboembolism risk. Thrombotic complications seem to emerge as an important issue in patients infected with COVID-19. Preliminary reports on COVID-19 patients’ clinical and laboratory findings include thrombocytopenia, elevated D-dimer, prolonged prothrombin time, and disseminated intravascular coagulation. As the pandemic is spreading and the whole picture is yet unknown, we highlight the importance of coagulation disorders in COVID-19 infected patients and review relevant data of previous coronavirus epidemics caused by the severe acute respiratory syndrome coronavirus 1 (SARS-CoV-1) and the Middle East Respiratory Syndrome coronavirus (MERS-CoV)

EXPERIENCES OF DRUG USERS IN IIA CLASS JAIL YOGYAKARTA

United Nations Office on Drugs and Crime (UNODC) estimated that about 149-272 million people or 3.3 % - 6.1 % of world population aged 15-64 years used drugs (even once) during their life time. This estimation will increase with time (BNN, 2011). The number of prisoners suffering HIV/AIDS in recent years were increasing as well if compared to its numbers in the year 2011 from 787 people to 1042 people. It was estimated that in the year 2015, the number of drug users in Indonesia would increase to 5.8 million people, since the number of drug users at the present time were reached 4 million people. For the time being, in Yogyakarta second A class drug jail , the number of drug users were 256 people; this number were constant; its mean that if there was prisoner got his / her freedom, another prisoner was incoming. Data from BNN in August 2013 years, 70% of 4 million drug users in Indonesia were workers (productive aged). Aim; To discovered population research experiences that cause them used drugs and depend on its. Research method: This was qualitative research with phenomenological approach. Data gathering technique were deep interview and FGD toward 30 respondents. Data were analyzed using reduction, data display, and conclusion drawing/verification. The majority of respondents mentioned that they used drugs because of they wanted to know and the influence of friends. Drugs, kinds of sabu, used to increase energy and ganja were used to obtain peacefulness. Drugs users wanted to use its forever; therefore, they wanted to stop because of punishment to be in jail not because of the drugs had negative effects to the body. The majority of respondents mentioned that to stop using drugs must be self motivated; on the contrary, the obstacle to stop using drugs because of missing sensation to use it. They named it suggest. Using drugs were conducted by research population because of environmental influence, to increase energy and to obtain peacefulness. Keywords : The experiences of drug use

Improved isolation of cadmium from paddy soil by novel technology based on pore water drainage with graphite-contained electro-kinetic geosynthetics

Novel soil remediation equipment based on electro-kinetic geosynthetics (EKG) was developed for in situ isolation of metals from paddy soil. Two mutually independent field plot experiments A and B (with and without electric current applied) were conducted. After saturation using ferric chloride (FeCl3) and calcium chloride (CaCl2), soil water drainage capacity, soil cadmium (Cd) removal performance, energy consumption as well as soil residual of iron (Fe) and chloride (Cl) were assessed. Cadmium dissolved in the soil matrix and resulted in a 100% increase of diethylenetriamine-pentaacetic acid (DTPA) extracted phyto-available Cd. The total soil Cd content reductions were 15.20% and 26.58% for groups A and B, respectively, and electric field applications resulted in a 74.87% increase of soil total Cd removal. The electric energy consumption was only 2.17 kWh/m3 for group B. Drainage by gravity contributed to > 90% of the overall soil dewatering capacity. Compared to conventional electro-kinetic technology, excellent and fast soil water drainage resulted in negligible hydrogen ion (H+) and hydroxide ion (OH−) accumulation at nearby electrode zones, which addressed the challenge of anode corrosion and cathode precipitation of soil metals. External addition of FeCl3 and CaCl2 caused soil Fe and Cl residuals and led to 4.33–7.59% and 139–172% acceptable augments in soil total Fe and Cl content, correspondingly, if compared to original untreated soils. Therefore, the novel soil remediation equipment developed based on EKG can be regarded as a promising new in situ technology for thoroughly isolating metals from large-scale paddy soil fields

TEACHING SUBJECTS AND PARTICIPATION RATES IN PHYSICAL EDUCATION COURSES AMONG CHILDREN AGED 10 TO 12 YEARS

Physical activity (PA) is a parameter of children's life that is straight connected to the benefits of their life (protection against obesity, better psychological profile, and predisposition for increased levels of PA as adult etc.). The purpose of the present study was to evaluate parameters of PA during Physical Education (PE) classes and to explore the subjects that the children participate in the PE course. PA, PE, and sedentary behaviors were assessed by a self-administrated PA checklist, proper for children. Body mass index (BMI) was calculated from measured body weight and height. A representative sample of Greek boys and girls aged 10 to 12 years (N=3195) participated in the study. Results showed that boys had higher levels of total and vigorous-intensity PA (VPA), than girls (all p-values<0.05), while girls presented higher light-to-moderate intensity PA as compared to boys. In those days that students participated in PE classes, total PA and VPA were higher in comparison with days didn't, in both sexes (p<0.001), while, a greater proportion of children met the current recommendations for PA (86.1% vs. 69.1% for boys and 68.4% vs. 53.5% for girls). During PE classes, boys participated in a greater proportion than girls in basketball and soccer (all p-values<0.05), while, more girls in comparison to boys participated in volleyball, dance, and jump-rope (all p-values<0.05). Stratified data analysis by BMI category among children who participated in PE classes did not reveal significant differences in time participated in PE components among categories, except for games (e.g. chase, tag) among boys. In conclusion, boys have higher levels of total PA than girls, while, it seems that school and PE classes play a significant role in students' levels of PA which could grow up further with interventions as the increase of hours in PE lessons.  Article visualizations

Determinants of physicians' purchase intention for innovative services: Integrating professional characteristics with technology acceptance model and theory of planned behaviour

© 2015 Imperial College Press. This paper seeks to explore the factors that influence physicians' purchase intention for supplementary professional services that have been recently introduced to the market. For that reason, a model has been developed and empirically tested using data collected from 100 physicians regarding an innovative e-detailing service. Results show that physicians' purchase intention is significantly influenced by five factors. Three of them derive from the integration of Technology Acceptance Model (TAM) with the Theory of Planned Behaviour (TPB), i.e., perceived usefulness, perceived ease of use and professional image. The rest, namely work experience, working status and innovativeness, refer to physicians' professional characteristics. Work experience and innovativeness were found to have a significant effect on physicians' perceptions of the innovative service, whereas, physicians' current working status was not found to have significant influence on either their perceptions of the innovative service or their purchase intention

Large-scale benchmarks of the Time-Warp/Graph-Theoretical Kinetic Monte Carlo approach for distributed on-lattice simulations of catalytic kinetics

We extend the work of Ravipati et al.[Comput. Phys. Commun., 2022, 270, 108148] in benchmarking the performance of large-scale, distributed, on-lattice kinetic Monte Carlo (KMC) simulations. Our software package, Zacros, employs a graph-theoretical approach to KMC, coupled with the Time-Warp algorithm for parallel discrete event simulations. The lattice is divided into equal subdomains, each assigned to a single processor; the cornerstone of the Time-Warp algorithm is the state queue, to which snapshots of the KMC (lattice) state are saved regularly, enabling historical KMC information to be corrected when conflicts occur at the subdomain boundaries. Focusing on three model systems, we highlight the key Time-Warp parameters that can be tuned to optimise KMC performance. The frequency of state saving, controlled by the state saving interval, δsnap, is shown to have the largest effect on performance, which favours balancing the overhead of re-simulating KMC history with that of writing state snapshots to memory. Also important is the global virtual time (GVT) computation interval, ΔτGVT, which has little direct effect on the progress of the simulation but controls how often the state queue memory can be freed up. We find that a vector data structure is, in general, more favourable than a linked list for storing the state queue, due to the reduced time required for allocating and de-allocating memory. These findings will guide users in maximising the efficiency of Zacros or other distributed KMC software, which is a vital step towards realising accurate, meso-scale simulations of heterogeneous catalysis