Lemierre Syndrome: Clinical Challenges And The Anticoagulation Dilemma In Adolescent Care.

Lemierre syndrome is a rare, life-threatening condition characterized by an acute otorhinolaryngologic infection with septic thrombophlebitis of the internal jugular vein and septic embolism, particularly to the lungs. We describe a case of a previously healthy 15-year-old female patient who initially presents fever and odynophagia but quickly develops neck and pleuritic chest pain. Computed tomography was performed and the radiological findings confirmed the diagnosis of a Lemierre syndrome. She was managed with antibiotics, anticoagulant for three days and symptomatic treatment, with a gradually improving condition. After 17 days of hospitalisation, due to reappearance of pleuritic pain, a new imaging assessment was performed and showed additional septic emboli in the lungs, which prompted the reintroduction of anticoagulant therapy. Awareness of the existence of this syndrome is essential to ensure a radiological evaluation with computed tomography and thus timely diagnosis and treatment.

MR Imaging Findings in Anti-Leucine-Rich Glioma Inactivated Protein 1 Encephalitis: A Systematic Review and Meta-analysis.

BACKGROUND: Antibodies against leucine-rich glioma inactivated protein 1 (LGI1) constitute a common form of autoimmune encephalitis. On MR imaging, it may show T2 FLAIR hyperintensities of the medial temporal lobe (T2 FLAIR-MTL), involve the basal ganglia, or be unremarkable. PURPOSE: We performed a systematic review and meta-analysis to obtain prevalence estimates of abnormal findings on MR imaging in anti-LGI1 encephalitis. A human brain map of the LGI1 microarray gene expression was derived from the Allen Human Brain Atlas. DATA SOURCES: PubMed and Web of Science were searched with the terms "LGI1" and "encephalitis" from inception to April 7, 2022. STUDY SELECTION: Thirty-one research publications, encompassing case series and retrospective cohort and case-control studies, with >10 patients with anti-LGI1 encephalitis and MR imaging data were included. DATA ANALYSIS: Pooled prevalence estimates were calculated using Freeman-Tukey double-arcsine transformation. Meta-analysis used DerSimonian and Laird random effects models. DATA SYNTHESIS: Of 1318 patients in 30 studies, T2 FLAIR-MTL hyperintensities were present in 54% (95% CI, 0.48-0.60; I2 = 76%). Of 394 patients in 13 studies, 27% showed bilateral (95% CI, 0.19-0.36; I2 = 71%) and 24% unilateral T2 FLAIR-MTL abnormalities (95% CI, 0.17-0.32; I2 = 61%). Of 612 patients in 15 studies, basal ganglia abnormalities were present in 10% (95% CI, 0.06-0.15; I2 = 67%). LGI1 expression was highest in the amygdala, hippocampus, and caudate nucleus. LIMITATIONS: Only part of the spectrum of MR imaging abnormalities in anti-LGI1 encephalitis could be included in a meta-analysis. MR imaging findings were not the main outcomes in most studies, limiting available information. I2 values ranged from 62% to 76%, representing moderate-to-large heterogeneity. CONCLUSIONS: T2 FLAIR-MTL hyperintensities were present in around one-half of patients with anti-LGI1. The prevalence of unilateral and bilateral presentations was similar, suggesting unilaterality should raise the suspicion of this disease in the appropriate clinical context. Around 10% of patients showed basal ganglia abnormalities, indicating that special attention should be given to this region. LGI1 regional expression coincided with the most frequently reported abnormal findings on MR imaging. Regional specificity might be partially determined by expression levels of the target protein.

Dataset of mathematics learning and assessment of higher education students using the MathE platform.

Higher education institutions are promoting the adoption of innovative methodologies and instructional approaches to engage and promote personalized learning paths to their students. Several strategies based on gamification, artificial intelligence, and data mining are adopted to create an interactive educational setting centred around students. Within this personalized learning environment, there is a notable boost in student engagement and enhanced educational outcomes. The MathE platform, an online educational system introduced in 2019, is specifically crafted to support students tackling difficulties in comprehending higher-education-level mathematics or those aspiring to deepen their understanding of diverse mathematical topics - all at their own pace. The MathE platform provides multiple-choice questions, categorized under topics and subtopics, aligning with the content taught in higher education courses. Accessible to students worldwide, the platform enables them to train their mathematical skills through these resources. When the students log in to the training area of the platform, they choose a topic to study and specify whether they prefer basic or advanced questions. The platform then selects a set of seven multiple-choice questions from the available ones under the chosen topic and generates a test for the student. After completing and submitting the test, the answers are recorded and stored on the platform. This paper describes the data stored in the MathE platform, focusing on the 9546 answers to 833 questions, provided by 372 students from 8 countries who use the platform to practice their skills using the questions (and other resources) available on the platform. The information in this paper will help research about active learning tools to support the improvement of future education, especially at higher educational level. Furthermore, these data are valuable for understanding student learning patterns, assessing platform efficacy, gaining a global perspective on mathematics education, and contributing to the advancement of active learning tools for higher education.

Application of machine learning in dementia diagnosis: A systematic literature review.

According to the World Health Organization forecast, over 55 million people worldwide have dementia, and about 10 million new cases are detected yearly. Early diagnosis is essential for patients to plan for the future and deal with the disease. Machine Learning algorithms allow us to solve the problems associated with early disease detection. This work attempts to identify the current relevance of the application of machine learning in dementia prediction in the scientific world and suggests open fields for future research. The literature review was conducted by combining bibliometric and content analysis of articles originating in a period of 20 years in the Scopus database. Twenty-seven thousand five hundred twenty papers were identified firstly, of which a limited number focused on machine learning in dementia diagnosis. After the exclusion process, 202 were selected, and 25 were chosen for analysis. The recent increasing interest in the past five years in the theme of machine learning in dementia shows that it is a relevant field for research with still open questions. The methods used to identify dementia or what features are used to identify or predict this disease are explored in this study. The literature review revealed that most studies used magnetic resonance imaging (MRI) and its types as the main feature, accompanied by demographic data such as age, gender, and the mini-mental state examination score (MMSE). Data are usually acquired from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Classification of Alzheimer's disease is more prevalent than prediction of Mild Cognitive Impairment (MCI) or their combination. The authors preferred machine learning algorithms such as SVM, Ensemble methods, and CNN because of their excellent performance and results in previous studies. However, most use not one machine-learning technique but a combination of techniques. Despite achieving good results in the studies considered, there are new concepts for future investigation declared by the authors and suggestions for improvements by employing promising methods with potentially significant results.

Do Childcare Teachers Evaluate Children's Weight Status More Accurately Than Parents? A Brief Report.

PURPOSE: Parents' underestimation of young children's weight can reduce their engagement and readiness to implement changes in children's diet and physical activity. Childcare teachers can support parents' identification of children at risk for being overweight only if they can accurately do this themselves. DESIGN: Quantitative, cross-sectional study. SETTING: Fifteen kindergartens near Lisbon, Portugal. SUBJECTS: 319 parents, 32 teachers (47.5% and 100% response rate, respectively), and 319 children. MEASURES: Caregivers classified the children's weight, considering their height and age as underweight, healthy weight, or overweight; children's body mass index (BMI) status for age and sex was assessed. ANALYSIS: Differences in caregivers' accuracy of children's weight perception were assessed. Multilevel multivariate logistic regression models were used to analyze the predictors of the accuracy of teachers' and parents' weight perception as a binary outcome. RESULTS: The proportion of children with overweight correctly assessed differed significantly (P = 0.004) between teachers (31.1%) and parents (17.5%). The child's BMI percentile was the only significant positive predictor for both caregivers' weight perception accuracy (P < 0.001 and P = 0.004, for parents and teachers, respectively), holding the child's age and sex constant. CONCLUSION: Although childcare teachers were better raters than parents when evaluating children's weight status, the percentage of children with overweight that childcare teachers misclassified was still relatively high.

Data Acquisition Filtering Focused on Optimizing Transmission in a LoRaWAN Network Applied to the WSN Forest Monitoring System.

Developing innovative systems and operations to monitor forests and send alerts in dangerous situations, such as fires, has become, over the years, a necessary task to protect forests. In this work, a Wireless Sensor Network (WSN) is employed for forest data acquisition to identify abrupt anomalies when a fire ignition starts. Even though a low-power LoRaWAN network is used, each module still needs to save power as much as possible to avoid periodic maintenance since a current consumption peak happens while sending messages. Moreover, considering the LoRaWAN characteristics, each module should use the bandwidth only when essential. Therefore, four algorithms were tested and calibrated along real and monitored events of a wildfire. The first algorithm is based on the Exponential Smoothing method, Moving Averages techniques are used to define the other two algorithms, and the fourth uses the Least Mean Square. When properly combined, the algorithms can perform a pre-filtering data acquisition before each module uses the LoRaWAN network and, consequently, save energy if there is no necessity to send data. After the validations, using Wildfire Simulation Events (WSE), the developed filter achieves an accuracy rate of 0.73 with 0.5 possible false alerts. These rates do not represent a final warning to firefighters, and a possible improvement can be achieved through cloud-based server algorithms. By comparing the current consumption before and after the proposed implementation, the modules can save almost 53% of their batteries when is no demand to send data. At the same time, the modules can maintain the server informed with a minimum interval of 15 min and recognize abrupt changes in 60 s when fire ignition appears.

A robot localization proposal for the RobotAtFactory 4.0: A novel robotics competition within the Industry 4.0 concept.

Robotic competitions are an excellent way to promote innovative solutions for the current industries' challenges and entrepreneurial spirit, acquire technical and transversal skills through active teaching, and promote this area to the public. In other words, since robotics is a multidisciplinary field, its competitions address several knowledge topics, especially in the STEM (Science, Technology, Engineering, and Mathematics) category, that are shared among the students and researchers, driving further technology and science. A new competition encompassed in the Portuguese Robotics Open was created according to the Industry 4.0 concept in the production chain. In this competition, RobotAtFactory 4.0, a shop floor, is used to mimic a fully automated industrial logistics warehouse and the challenges it brings. Autonomous Mobile Robots (AMRs) must be used to operate without supervision and perform the tasks that the warehouse requests. There are different types of boxes which dictate their partial and definitive destinations. In this reasoning, AMRs should identify each and transport them to their destinations. This paper describes an approach to the indoor localization system for the competition based on the Extended Kalman Filter (EKF) and ArUco markers. Different innovation methods for the obtained observations were tested and compared in the EKF. A real robot was designed and assembled to act as a test bed for the localization system's validation. Thus, the approach was validated in the real scenario using a factory floor with the official specifications provided by the competition organization.

Mathematics learning and assessment using MathE platform: A case study.

Universities are encouraging the implementation of innovative methodologies and teaching strategies to develop an interactive and appealing educational environment where students are the focus of the learning process. In such a personalised learning environment, an increase of the students' engagement and the improvement of the outcomes arise. MathE has been developed to help achieve this goal. Based on collaborative procedures, internet resources - both pre-existing and freely available as well as resources specifically conceived by the project team - and communities of practices, MathE intends to be a tool to nurture and stimulate the learning of Mathematics in higher education. This study introduces and describes the MathE platform, which is divided into three sections: Student's Assessment, Library and Community of Practice. An in-depth description of the Student's Assessment section is presented and an analysis of the results obtained from students, when using this feature of the platform, is also provided. After this, and based on the answers to an online survey, the impact of the MathE platform among students and teachers of eight countries is shown. Although the number of collected results is still scarce, it allows the recognition of a trend regarding the use of the material of the Student's Assessment section for autonomous study. The results indicate the platform is well organized, with a satisfactory amount and diversity of questions and good interconnection between the various parts. Nevertheless, both teachers and students indicate that more questions should be introduced. The overall opinion about the MathE platform is very favourable.

Portuguese Football Federation consensus statement 2020: nutrition and performance in football.

Nutrition is an undeniable part of promoting health and performance among football (soccer) players. Nevertheless, nutritional strategies adopted in elite football can vary significantly depending on culture, habit and practical constraints and might not always be supported by scientific evidence. Therefore, a group of 28 Portuguese experts on sports nutrition, sports science and sports medicine sought to discuss current practices in the elite football landscape and review the existing evidence on nutritional strategies to be applied when supporting football players. Starting from understanding football's physical and physiological demands, five different moments were identified: preparing to play, match-day, recovery after matches, between matches and during injury or rehabilitation periods. When applicable, specificities of nutritional support to young athletes and female players were also addressed. The result is a set of practical recommendations that gathered consensus among involved experts, highlighting carbohydrates periodisation, hydration and conscious use of dietary supplements.

Deformation of Red Blood Cells, Air Bubbles, and Droplets in Microfluidic Devices: Flow Visualizations and Measurements.

Techniques, such as micropipette aspiration and optical tweezers, are widely used to measure cell mechanical properties, but are generally labor-intensive and time-consuming, typically involving a difficult process of manipulation. In the past two decades, a large number of microfluidic devices have been developed due to the advantages they offer over other techniques, including transparency for direct optical access, lower cost, reduced space and labor, precise control, and easy manipulation of a small volume of blood samples. This review presents recent advances in the development of microfluidic devices to evaluate the mechanical response of individual red blood cells (RBCs) and microbubbles flowing in constriction microchannels. Visualizations and measurements of the deformation of RBCs flowing through hyperbolic, smooth, and sudden-contraction microchannels were evaluated and compared. In particular, we show the potential of using hyperbolic-shaped microchannels to precisely control and assess small changes in RBC deformability in both physiological and pathological situations. Moreover, deformations of air microbubbles and droplets flowing through a microfluidic constriction were also compared with RBCs deformability.

Push-Pull N,N-Diphenylhydrazones Bearing Bithiophene or Thienothiophene Spacers as Nonlinear Optical Second Harmonic Generators and as Photosensitizers for Nanocrystalline TiO2 Dye-Sensitized Solar Cells.

A series of push-pull heterocyclic N,N-diphenylhydrazones were prepared to study the effect of structural modifications (different π-spacers and electron-withdrawing groups) on the optical (linear and nonlinear) and electronic properties of the molecules. The photovoltaic response of dye-sensitized solar cells assembled using nanocrystalline titania photosensitized with the synthesized dyes was also studied. These heterocyclic push-pull conjugated dyes involve N,N-diphenylhydrazones as electron donors linked to bithiophene or thieno[3,2-b]thiophene spacers and were functionalized with carboxylic acid, cyanoacetic acid, or dicyanovinyl acceptor groups. A combination of Suzuki-Miyaura cross-coupling, Vilsmeier formylation, and condensation reactions was used to synthesize the intermediates and final products. Density functional theory (DFT) and time dependent-DFT calculations were used to obtain information on conformation, electronic structure, and electron distribution, both for the free dyes and those adsorbed on TiO2. The results of this multidisciplinary study indicate that dyes 5b and 6b have the strongest second-order nonlinear optical response with hyperpolarizability values in the range of ß = 2330 × 10-30 to 2750 × 10-30 esu, whereas photovoltaic power conversion efficiencies reach values in the range of 0.7-3.0% for dyes 5a-b and 7c and were enhanced by coadsorbing deoxycholic acid (0.8-5.1%).

International child abuse prevention: insights from ACT Raising Safe Kids.

BACKGROUND: Evidence-based practices are often viewed as lofty goals endorsed by wealthy academics in developed nations, but impossible to implement in other contexts. This article will provide evidence suggesting that, to the contrary, we can indeed scale up western-developed parenting interventions that can be both effective and warmly received by parents in diverse cultural and economic contexts. METHODS/RESULTS: This paper gives a brief overview of the ACT Raising Safe Kids Program and summarizes the results of evaluation studies done with parents around the world. It discusses specific strategies facilitators use to modify the program as necessary to fit cultural contexts while also maintaining fidelity, implementing the manualized curriculum under varied, and complex circumstances. CONCLUSIONS: It is hoped that the lessons learned from our work will inspire practitioners to adapt ACT or other programs to diverse contexts, evaluate those programs, and thereby improve the mental health and life trajectories of children and families around the world.

Pediatric Immunization Distress: A Cluster Analyses of Children's, Parents', and Nurses' Behaviors During the Anticipatory Phase.

OBJECTIVE: Using cluster analysis, we aimed to identify a typology of nurses', parents', and young children's behaviors during the anticipatory phase of pediatric immunizations to explore the associations between these different typologies and to determine whether these groups differed with respect to the child's procedural distress as rated by the child and the parents and with respect to the adults' self-rated distress. MATERIALS AND METHODS: Immunizations given by 23 nurses to 220 children aged 3 years and 10 months to 7 years were recorded with behaviors being scored according to Child-Adult Medical Procedure Interaction Scale-Revised, to which 3 new codes were added, and rated with a 6-point Likert scale. Parents' and nurses' ratings of their own distress and of the child's distress, in addition to children's self-rating of distress were obtained. Nine adult and 12 child behavioral codes were submitted for cluster analysis. RESULTS: A solution with 4 clusters for children, 5 clusters for parents, and 5 clusters for nurses was retained. Our results show high consistency between child and adult clusters. During the anticipatory phase, less distressed children, characterized by either low activity or high coping, interacted with adults who showed low activity or high coping support patterns. More distressed children, characterized by resistance and behavioral distress, interacted with adults who displayed either low activity or less efficient support behaviors, such as reassurance and criticism. DISCUSSION: The results confirm previous dimensional studies and add relevant knowledge concerning typologies of participant behaviors that may be useful in understanding such behaviors and in helping providers in their management of child immunizations.

Preliminary analysis of the portuguese version of the Child Anxiety Life Interference Scale / Análise preliminar da versão portuguesa da Escala de Interferência da Ansiedade na Criança

Anxiety disorders are highly prevalent among school-aged children. These disorders become chronic in a substantial proportion of youths and cause significant interference with daily functioning. The purpose of the current investigation was to examine the psychometric properties of the Portuguese version of the Child Anxiety Life Interference Scale - Parent and Child versions (CALIS-P and CALIS-C). The sample consisted of 132 children between the ages of 7 and 12 with a main diagnosis of anxiety disorder and their parents. A factor analysis of the CALIS-P yielded three factors that agreed with the hypothesised subscales of At Home, Outside Home and Parent Life interference. For the CALIS-C, a factor analysis yielded two factors corresponding to Close Relationships and Performance interference that did not match the subscales of the original version. The internal consistency of the various CALIS subscales was good. Finally, evidence was found for both convergent and divergent validity. The CALIS scores were also significantly correlated with another measure of interference. The results provide initial support that the Portuguese version of the CALIS is a reliable and valid measure for the assessment of the impact of anxiety on child and family functioning.

As perturbações de ansiedade são altamente prevalentes entre crianças em idade escolar. Estas perturbações tendem a seguir um curso crónico e interferem significativamente no funcionamento diário dos jovens. O objetivo principal deste estudo foi examinar as propriedades psicométricas da versão Portuguesa da Escala de Interferência da Ansiedade na Vida da Criança - versões para Pais e Crianças (CALIS-P e CALIS-C). Participaram 132 crianças, com idades entre os 7 e 12 anos, com diagnóstico principal de ansiedade, e seus respetivos pais. A análise fatorial da CALIS-P revelou três fatores que coincidem com as subescalas hipotetizadas: Interferência Em Casa, Fora de Casa e na Vida da Família. Para a CALIS-C, a análise fatorial revelou dois fatores que dizem respeito à Interferência nas Relações Próximas e no Desempenho, que não correspondem às subescalas da versão original. Os estudos psicométricos mostraram uma boa consistência interna para as várias subescalas da CALIS e boas qualidades na validade convergente e divergente. Foi observada ainda uma correlação significativa entre os resultados da CALIS e outra medida de interferência. Estes resultados sugerem que a versão portuguesa da CALIS é uma medida confiável e válida para a avaliação do impacto da ansiedade na criança e no funcionamento familiar.

Cognitive vulnerability profiles of highly anxious and non-anxious children.

Current theoretical notions emphasise the role of cognitive variables in the development and maintenance of childhood anxiety. The purpose of this study was to explore whether there are different types of cognitive vulnerability to anxiety among children. The participants were 118 children between the ages of 7 and 13 who completed a set of questionnaires to measure cognitive errors, threat-related interpretation bias, and anxiety-related control. Cluster analysis identified three relevant clusters: (1) a High Cognitive Vulnerability cluster, characterised by high levels of cognitive errors and threat interpretation and low levels of control; (2) a Low Cognitive Vulnerability cluster, characterised by low levels of cognitive errors and threat interpretation and high levels of control; and (3) an Inconsistent Cognitive Vulnerability cluster, characterised by low levels of cognitive errors and threat interpretation and low levels of control. Differences between the clusters were found in terms of anxiety symptoms, coping strategies, and gender. The theoretical and clinical implications of these findings are discussed.

Automatic tracking of labeled red blood cells in microchannels.

The current study proposes an automatic method for the segmentation and tracking of red blood cells flowing through a 100- µm glass capillary. The original images were obtained by means of a confocal system and then processed in MATLAB using the Image Processing Toolbox. The measurements obtained with the proposed automatic method were compared with the results determined by a manual tracking method. The comparison was performed by using both linear regressions and Bland-Altman analysis. The results have shown a good agreement between the two methods. Therefore, the proposed automatic method is a powerful way to provide rapid and accurate measurements for in vitro blood experiments in microchannels.

Perceived control and anxiety in Portuguese children.

The central role of perceived control in the development of anxiety disorders is proposed by several theoretical models. The main objective of the present study was to examine the relation between perceived control and anxiety in Portuguese school-age children. To accomplish this objective we developed the Portuguese short form of the Anxiety Control Questionnaire for Children (ACQ-C, Weems, 2005; Pereira & Barros, 2010), whose psychometric studies are presented. The sample comprised 238 children, aged 8 to 15 years, from the general population attending Portuguese schools. Children completed measures of perceived control (ACQ-C) and their anxiety (Screen for Child Anxiety Related Emotional Disorders--Revised, SCARED-R). The psychometric studies indicate good psychometric characteristics of the Portuguese ACQ-C short form, in particular a high internal consistency (a = .85) and an adequate temporal stability (r = .60, p = .002). Results show a significant negative association between perceived control and anxiety symptomatology, providing partial support for models that assign a central role to control beliefs in explaining the development of anxiety disorders. These results also suggest the importance of considering the perception of control as a prime target for preventive actions and intervention aimed at reducing anxiety in school aged children.

Cognitive errors and anxiety in school aged children / Erros cognitivos e ansiedade em crianças em idade escolar

Cognitive models of emotional disorders emphasize the role of biased information processing in the psychological functioning of anxious individuals. So far, the role of cognitive errors in problems of childhood anxiety disorders has received little empirical attention. This study analyzes the relations between cognitive errors and symptoms of anxiety in a sample of school aged children. The sample, comprised by 205 children (8 to 13 years old), answered the Children's Negative Cognitive Errors Questionnaire (CNCEQ) and the Screen for Child Anxiety Related Emotional Disorders - Revised (SCARED-R). Results show a positive and statistically significant relationship between cognitive errors and symptoms of anxiety, suggesting the importance of modifying these cognitive processes for prevention and intervention targeting anxiety problems in school aged children...

Os modelos cognitivos das perturbações emocionais enfatizam o papel do processamento enviesado de informação em indivíduos ansiosos. Até ao momento, o papel dos erros cognitivos nos problemas de ansiedade na infância tem recebido pouca atenção empírica. Este estudo analisa a relação entre erros cognitivos e sintomatologia de ansiedade em crianças. A amostra é composta por 205 crianças (8-13 anos), que responderam ao Questionário de Erros Cognitivos para Crianças (CNCEQ) e à versão revista do Questionário de Avaliação de Perturbações Emocionais Relacionadas com a Ansiedade em Crianças (SCARED-R). Os resultados, que revelam uma relação positiva e estatisticamente significativa entre erros cognitivos e sintomatologia de ansiedade, sugerem a importância da modificação destes processos cognitivos na intervenção dirigida aos problemas de ansiedade em crianças...

Distribución y densidad de la avifauna de la Península de Osa, Costa Rica (1990-1991) / Distribution and density of the avifauna of the Osa Peninsula, Costa Rica (1990-1991)

Distribution and density of avifauna in Península de Osa, Costa Rica (1990-1991). We recorded 205 bird species at the Península de Osa. The geographical distribution of most forest bird species within the peninsula is discontinuous (e.g., Corapipo altera and Tangara guttata), even within large forest tracts, indicating the adaptation of species to particular habitats, microhabitats, strata and/or diet within the forest. Birds use the forest strata in different proportion resulting in three different patterns: understory birds (e.g., Arremon aurantiirostris and Habia atrimaxillaris), supdosel birds (e.g., Cacicus uropygialis and Euphonia imitans), and birds that use several strata in similar proportion (e.g., Dendrocincla anabatina). Most of these forest birds feed upon insects and fruits. The density and relative abundance is very low for most species, with more than 90% of the species having less than an individual per hectare or kilometer of transect. These characteristics make this avifauna highly susceptible to deforestation and forest fragmentation. Rev. Biol. Trop. 57 (Suppl. 1): 323-332. Epub 2009 November 30.

Observamos 205 especies de aves en la Península de Osa. La distribución geográfica de la mayoría de las especies de bosque en la península es discontinua (e.g., Corapipo altera y Tangara guttata), aún dentro de grandes áreas de bosque continuo, lo cual indica la posible adaptación de las especies a habitats, microhabitats, estratos y dietas particulares dentro del bosque. Las aves utilizan los estratos del bosque en diferente proporción lo que resulta en tres diferentes patrones: aves de sotobosque (e.g., Arremon aurantiirostris y Habia atrimaxillaris), aves de subdosel (e.g., Cacicus uropygialis y Euphonia imitans) y aves que utilizan diferentes estratos en similar proporción (e.g., Dendrocincla anabatina). La mayoría de estas especies de bosque se alimentan de insectos y frutos. La densidad y la abundancia relativa son muy bajas para la mayoría de las especies, con más de 90% de las especies con menos de un individuo por hectárea o kilómetro de transecto recorrido. Este conjunto de características hacen que esta avifauna sea muy sensible a la destrucción y fragmentación del bosque.

Estimation of postmortem interval by hypoxanthine and potassium evaluation in vitreous humor with a sequential injection system.

The estimation of the time since death known as postmortem interval (PMI) is a main issue in the field of forensic science and legal medicine. In this work it is proposed a sequential injection system for the determination of hypoxanthine and potassium in the same sample of vitreous humor since the concentrations of both parameters change with PMI and the vitreous humor has been regarded as the ideal extracellular fluid for these kinds of determinations. By measuring both parameters the accuracy of estimation of PMI can be increased, and the effects of factors which influence the values in postmortem chemistry minimized. Hypoxanthine determination is based on its oxidation to uric acid (290 nm), catalyzed by immobilized xanthine oxidase, and the quantification of potassium levels in vitreous humor was performed using a tubular potassium ion-selective electrode. With a unique analytical cycle both analytes were evaluated being potassium levels determined during the degradation of hypoxanthine in the enzymatic reactor. Working concentration ranges between 6.04-40.00 micromol L(-1) and 7.00 x 10(-5) to 1.00 x 10(-1)mmol L(-1) were obtained, for hypoxanthine and potassium, respectively. The method proved to be reproducible with R.S.D. <5% for hypoxanthine and <3% for potassium. Sampling rate was approximately 30 per hour for the sequential determination of both parameters being 15 and 60 determinations per hour if hypoxanthine or potassium, where evaluated independently. Statistical evaluation at the 95% confidence level showed good agreement between the results obtained, for the vitreous humor samples, with both the SIA system and the comparison batch procedures. Moreover the methodology has low environmental impact in agreement with the demands of green analytical chemistry as only 2.7 mL of chemical waste is produced during both determinations.