An invasive-native mammalian species replacement process captured by camera trap survey random encounter models

Camera traps are used to estimate densities or abundances using capture-recapture and, more recently, random encounter models (REMs). We deploy REMs to describe an invasive-native species replacement process, and to demonstrate their wider application beyond abundance estimation. The Irish hare Lepus timidus hibernicus is a high priority endemic of conservation concern. It is threatened by an expanding population of non-native, European hares L. europaeus, an invasive species of global importance. Camera traps were deployed in thirteen 1 km squares, wherein the ratio of invader to native densities were corroborated by night-driven line transect distance sampling throughout the study area of 1652 km2. Spatial patterns of invasive and native densities between the invader’s core and peripheral ranges, and native allopatry, were comparable between methods. Native densities in the peripheral range were comparable to those in native allopatry using REM, or marginally depressed using Distance Sampling. Numbers of the invader were substantially higher than the native in the core range, irrespective of method, with a 5:1 invader-to-native ratio indicating species replacement. We also describe a post hoc optimization protocol for REM which will inform subsequent (re-)surveys, allowing survey effort (camera hours) to be reduced by up to 57% without compromising the width of confidence intervals associated with density estimates. This approach will form the basis of a more cost-effective means of surveillance and monitoring for both the endemic and invasive species. The European hare undoubtedly represents a significant threat to the endemic Irish hare.

Allocating Participants to Groups In Educational Trials: What Does Random Mean?

What is meant by the term random? Do we understand how to identify which type of randomisation to use in our future research projects? We, as researchers, often explain randomisation to potential research participants as being a 50/50 chance of selection to either an intervention or control group, akin to drawing numbers out of a hat. Is this an accurate explanation? And are all methods of randomisation equal? This paper aims to guide the researcher through the different techniques used to randomise participants with examples of how they can be used in educational research.

The time-dependent close-coupling method for atomic and molecular collision processes

We review the development of the time-dependent close-coupling method to study atomic and molecular few body dynamics. Applications include electron and photon collisions with atoms, molecules, and their ions.

Cinética da transferência de calor em materiais com mudança de fase

É extensa a bibliografia dedicada a potenciais aplicações de materiais com mudança de fase na regulação térmica e no armazenamento de calor ou de frio. No entanto, a baixa condutividade térmica impõe limitações numa grande diversidade de aplicações com exigências críticas em termos de tempo de resposta curto ou com requisitos de elevada potência em ciclos de carga/descarga de calor latente. Foram desenvolvidos códigos numéricos no sentido de obter soluções precisas para descrever a cinética da transferência de calor com mudança de fase, com base em geometrias representativas, i.e. planar e esférica. Foram igualmente propostas soluções aproximadas, sendo identificados correspondentes critérios de validação em função das propriedades dos materiais de mudança de fase e de outros parâmetros relevantes tais como as escalas de tamanho e de tempo, etc. As referidas soluções permitiram identificar com rigor os fatores determinantes daquelas limitações, quantificar os correspondentes efeitos e estabelecer critérios de qualidade adequados para diferentes tipologias de potenciais aplicações. Os referidos critérios foram sistematizados de acordo com metodologias de seleção propostas por Ashby e co-autores, tendo em vista o melhor desempenho dos materiais em aplicações representativas, designadamente com requisitos ao nível de densidade energética, tempo de resposta, potência de carga/descarga e gama de temperaturas de operação. Nesta sistematização foram incluídos alguns dos compósitos desenvolvidos durante o presente trabalho. A avaliação das limitações acima mencionadas deu origem ao desenvolvimento de materiais compósitos para acumulação de calor ou frio, com acentuada melhoria de resposta térmica, mediante incorporação de uma fase com condutividade térmica muito superior à da matriz. Para este efeito, foram desenvolvidos modelos para otimizar a distribuição espacial da fase condutora, de modo a superar os limites de percolação previstos por modelos clássicos de condução em compósitos com distribuição aleatória, visando melhorias de desempenho térmico com reduzidas frações de fase condutora e garantindo que a densidade energética não é significativamente afetada. Os modelos elaborados correspondem a compósitos de tipo core-shell, baseados em microestruturas celulares da fase de elevada condutividade térmica, impregnadas com o material de mudança de fase propriamente dito. Além de visarem a minimização da fração de fase condutora e correspondentes custos, os modelos de compósitos propostos tiveram em conta a adequação a métodos de processamento versáteis, reprodutíveis, preferencialmente com base na emulsificação de líquidos orgânicos em suspensões aquosas ou outros processos de reduzidas complexidade e com base em materiais de baixo custo (material de mudança de fase e fase condutora). O design da distribuição microestrutural também considerou a possibilidade de orientação preferencial de fases condutoras com elevada anisotropia (p.e. grafite), mediante auto-organização. Outros estágios do projeto foram subordinados a esses objetivos de desenvolvimento de compósitos com resposta térmica otimizada, em conformidade com previsões dos modelos de compósitos de tipo core-shell, acima mencionadas. Neste enquadramento, foram preparados 3 tipos de compósitos com organização celular da fase condutora, com as seguintes características e metodologias: i) compósitos celulares parafina-grafite para acumulação de calor, preparados in-situ por emulsificação de uma suspensão de grafite em parafina fundida; ii) compósitos celulares parafina-Al2O3 para acumulação de calor, preparados por impregnação de parafina em esqueleto cerâmico celular de Al2O3; iii) compósitos celulares para acumulação de frio, obtidos mediante impregnação de matrizes celulares de grafite com solução de colagénio, após preparação prévia das matrizes de grafite celular. Os compósitos com esqueleto cerâmico (ii) requereram o desenvolvimento prévio de um método para o seu processamento, baseado na emulsificação de suspensões de Al2O3 em parafina fundida, com adequados aditivos dispersantes, tensioactivos e consolidantes do esqueleto cerâmico, tornando-o auto-suportável durante as fases posteriores de eliminação da parafina, até à queima a alta temperatura, originando cerâmicos celulares com adequada resistência mecânica. Os compósitos desenvolvidos apresentam melhorias significativos de condutividade térmica, atingindo ganhos superiores a 1 ordem de grandeza com frações de fase condutora inferior a 10 % vol. (4 W m-1 K-1), em virtude da organização core-shell e com o contributo adicional da anisotropia da grafite, mediante orientação preferencial. Foram ainda preparados compósitos de armazenamento de frio (iii), com orientação aleatória da fase condutora, obtidos mediante gelificação de suspensões de partículas de grafite em solução aquosa de colagénio. Apesar da estabilidade microestrutural e de forma, conferida por gelificação, estes compósitos confirmaram a esperada limitação dos compósitos com distribuição aleatória, em confronto com os ganhos alcançados com a organização de tipo core-shell.

Modelling health state preference data using fixed and random effects models

The use of preference-based measures of health in the measurement of Health Related Quality of Life has become widely used in health economics. Hence, the development of preference-based measures of health has been a major concern for researchers throughout the world. This study aims to model health state preference data using a new preference-based measure of health (the SF- 6D) and to suggest alternative models for predicting health state utilities using fixed and random effects models. It also seeks to investigate the problems found in the SF-6D and to suggest eventual changes to it.

Small area estimation using linear mixed models with heterogeneous covariance structures of random effects

The problem of Small Area Estimation is about how to produce reliable estimates of domain characteristics when the sample sizes within the domain is very small ou even zero.

Do close reading à encenação: Frei Luís de Sousa

O presente artigo teve origem num texto escrito para o programa do espectáculo Frei Luís de Sousa, com encenação de Carlos Avilez, no Teatro Nacional D. Maria II, na abertura das Comemorações do Bicentenário do nascimento de Almeida Garrett.

The utilization bound of static-priority preemptive partitioned multiprocessor scheduling is 50%

This paper studies static-priority preemptive scheduling on a multiprocessor using partitioned scheduling. We propose a new scheduling algorithm and prove that if the proposed algorithm is used and if less than 50% of the capacity is requested then all deadlines are met. It is known that for every static-priority multiprocessor scheduling algorithm, there is a task set that misses a deadline although the requested capacity is arbitrary close to 50%.

A biased random-key genetic algorithm with forward-backward improvement for the resource constrained project scheduling problem

This paper presents a biased random-key genetic algorithm for the resource constrained project scheduling problem. The chromosome representation of the problem is based on random keys. Active schedules are constructed using a priority-rule heuristic in which the priorities of the activities are defined by the genetic algorithm. A forward-backward improvement procedure is applied to all solutions. The chromosomes supplied by the genetic algorithm are adjusted to reflect the solutions obtained by the improvement procedure. The heuristic is tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.

A random key based genetic algorithm for the resource constrained project scheduling problem

This paper presents a genetic algorithm for the Resource Constrained Project Scheduling Problem (RCPSP). The chromosome representation of the problem is based on random keys. The schedule is constructed using a heuristic priority rule in which the priorities of the activities are defined by the genetic algorithm. The heuristic generates parameterized active schedules. The approach was tested on a set of standard problems taken from the literature and compared with other approaches. The computational results validate the effectiveness of the proposed algorithm.

Project, modelling and simulation of air stripping columns for the treatment of groundwater contaminated with volatile organic compounds

Volatile organic compounds are a common source of groundwater contamination that can be easily removed by air stripping in columns with random packing and using a counter-current flow between the phases. This work proposes a new methodology for the column design for any particular type of packing and contaminant avoiding the necessity of a pre-defined diameter used in the classical approach. It also renders unnecessary the employment of the graphical Eckert generalized correlation for pressure drop estimates. The hydraulic features are previously chosen as a project criterion and only afterwards the mass transfer phenomena are incorporated, in opposition to conventional approach. The design procedure was translated into a convenient algorithm using C++ as programming language. A column was built in order to test the models used either in the design or in the simulation of the column performance. The experiments were fulfilled using a solution of chloroform in distilled water. Another model was built to simulate the operational performance of the column, both in steady state and in transient conditions. It consists in a system of two partial non linear differential equations (distributed parameters). Nevertheless, when flows are steady, the system became linear, although there is not an evident solution in analytical terms. In steady state the resulting system of ODE can be solved, allowing for the calculation of the concentration profile in both phases inside the column. In transient state the system of PDE was numerically solved by finite differences, after a previous linearization.

A New Approach in the Design of Air Stripping Columns for the Treatment of Groundwater Contaminated With Volatile Organic Compounds

Volatile organic compounds are a common source of groundwater contamination that can be easily removed by air stripping in columns with random packing and using a counter-current flow between the phases. This work proposes a new methodology for column design for any type of packing and contaminant which avoids the necessity of an arbitrary chosen diameter. It also avoids the employment of the usual graphical Eckert correlations for pressure drop. The hydraulic features are previously chosen as a project criterion. The design procedure was translated into a convenient algorithm in C++ language. A column was built in order to test the design, the theoretical steady-state and dynamic behaviour. The experiments were conducted using a solution of chloroform in distilled water. The results allowed for a correction in the theoretical global mass transfer coefficient previously estimated by the Onda correlations, which depend on several parameters that are not easy to control in experiments. For best describe the column behaviour in stationary and dynamic conditions, an original mathematical model was developed. It consists in a system of two partial non linear differential equations (distributed parameters). Nevertheless, when flows are steady, the system became linear, although there is not an evident solution in analytical terms. In steady state the resulting ODE can be solved by analytical methods, and in dynamic state the discretization of the PDE by finite differences allows for the overcoming of this difficulty. To estimate the contaminant concentrations in both phases in the column, a numerical algorithm was used. The high number of resulting algebraic equations and the impossibility of generating a recursive procedure did not allow the construction of a generalized programme. But an iterative procedure developed in an electronic worksheet allowed for the simulation. The solution is stable only for similar discretizations values. If different values for time/space discretization parameters are used, the solution easily becomes unstable. The system dynamic behaviour was simulated for the common liquid phase perturbations: step, impulse, rectangular pulse and sinusoidal. The final results do not configure strange or non-predictable behaviours.

A physical packing sequence algorithm for the container loading problem with static mechanical equilibrium conditions

The container loading problem (CLP) is a combinatorial optimization problem for the spatial arrangement of cargo inside containers so as to maximize the usage of space. The algorithms for this problem are of limited practical applicability if real-world constraints are not considered, one of the most important of which is deemed to be stability. This paper addresses static stability, as opposed to dynamic stability, looking at the stability of the cargo during container loading. This paper proposes two algorithms. The first is a static stability algorithm based on static mechanical equilibrium conditions that can be used as a stability evaluation function embedded in CLP algorithms (e.g. constructive heuristics, metaheuristics). The second proposed algorithm is a physical packing sequence algorithm that, given a container loading arrangement, generates the actual sequence by which each box is placed inside the container, considering static stability and loading operation efficiency constraints.