Maryland Farm Internships and Labor Laws

Many farms across Maryland use interns to lighten the overall farm workload and help young people gain practical farming knowledge. Although interns can be a welcome addition to a farm’s workforce, farm employers need to be aware of how to properly compensate interns and the legal consequences of adding them to the payroll.

Ser Professor

As escolas sofreram várias mudanças, ao longo dos anos, as quais geraram consequências a nível das condições de trabalho dos professores. Assim, os professores trabalham a um ritmo intenso, com uma enorme sobrecarga de trabalho, o que os leva a queixarem-se de dores de garganta, dores de pernas, dores de costas, rouquidão e cansaço. Enfrentam vários riscos psicossociais e profissionais, na sua profissão, e estes agrupam-se em seis dimensões, de acordo com Gollac & Bodier (2011), a saber: a intensificação de trabalho e tempo de trabalho, exigências emocionais, falta de autonomia, qualidade das relações sociais, conflito de valores e insegurança no trabalho. Esta investigação teve como objetivo a identificação dos riscos psicossociais e profissionais dos professores do 3.ºciclo e do ensino secundário, nela participando 89 professores. A identificação dos riscos psicossociais realizou-se através do INSAT e a entrevista aos docentes permitiu completar e comprovar estes mesmos dados. Esta investigação pretende alertar sobre as condições de trabalho dos professores e as consequências das mesmas para a saúde e bem-estar no trabalho.

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS

In today’s big data world, data is being produced in massive volumes, at great velocity and from a variety of different sources such as mobile devices, sensors, a plethora of small devices hooked to the internet (Internet of Things), social networks, communication networks and many others. Interactive querying and large-scale analytics are being increasingly used to derive value out of this big data. A large portion of this data is being stored and processed in the Cloud due the several advantages provided by the Cloud such as scalability, elasticity, availability, low cost of ownership and the overall economies of scale. There is thus, a growing need for large-scale cloud-based data management systems that can support real-time ingest, storage and processing of large volumes of heterogeneous data. However, in the pay-as-you-go Cloud environment, the cost of analytics can grow linearly with the time and resources required. Reducing the cost of data analytics in the Cloud thus remains a primary challenge. In my dissertation research, I have focused on building efficient and cost-effective cloud-based data management systems for different application domains that are predominant in cloud computing environments. In the first part of my dissertation, I address the problem of reducing the cost of transactional workloads on relational databases to support database-as-a-service in the Cloud. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availability, and tolerating failures gracefully. I have designed, built and evaluated SWORD, an end-to-end scalable online transaction processing system, that utilizes workload-aware data placement and replication to minimize the number of distributed transactions that incorporates a suite of novel techniques to significantly reduce the overheads incurred both during the initial placement of data, and during query execution at runtime. In the second part of my dissertation, I focus on sampling-based progressive analytics as a means to reduce the cost of data analytics in the relational domain. Sampling has been traditionally used by data scientists to get progressive answers to complex analytical tasks over large volumes of data. Typically, this involves manually extracting samples of increasing data size (progressive samples) for exploratory querying. This provides the data scientists with user control, repeatable semantics, and result provenance. However, such solutions result in tedious workflows that preclude the reuse of work across samples. On the other hand, existing approximate query processing systems report early results, but do not offer the above benefits for complex ad-hoc queries. I propose a new progressive data-parallel computation framework, NOW!, that provides support for progressive analytics over big data. In particular, NOW! enables progressive relational (SQL) query support in the Cloud using unique progress semantics that allow efficient and deterministic query processing over samples providing meaningful early results and provenance to data scientists. NOW! enables the provision of early results using significantly fewer resources thereby enabling a substantial reduction in the cost incurred during such analytics. Finally, I propose NSCALE, a system for efficient and cost-effective complex analytics on large-scale graph-structured data in the Cloud. The system is based on the key observation that a wide range of complex analysis tasks over graph data require processing and reasoning about a large number of multi-hop neighborhoods or subgraphs in the graph; examples include ego network analysis, motif counting in biological networks, finding social circles in social networks, personalized recommendations, link prediction, etc. These tasks are not well served by existing vertex-centric graph processing frameworks whose computation and execution models limit the user program to directly access the state of a single vertex, resulting in high execution overheads. Further, the lack of support for extracting the relevant portions of the graph that are of interest to an analysis task and loading it onto distributed memory leads to poor scalability. NSCALE allows users to write programs at the level of neighborhoods or subgraphs rather than at the level of vertices, and to declaratively specify the subgraphs of interest. It enables the efficient distributed execution of these neighborhood-centric complex analysis tasks over largescale graphs, while minimizing resource consumption and communication cost, thereby substantially reducing the overall cost of graph data analytics in the Cloud. The results of our extensive experimental evaluation of these prototypes with several real-world data sets and applications validate the effectiveness of our techniques which provide orders-of-magnitude reductions in the overheads of distributed data querying and analysis in the Cloud.

Impacto das características e condições de trabalho no absentismo em assistentes operacionais de escolas e jardins de infância

O trabalho é capaz de proporcionar sentimentos de identificação, permitindo a partilha de experiências, a aquisição de status social e identidade profissional, mas também pode colocar o trabalhador em situações desagradáveis. As condições a que os trabalhadores estão expostos no seu trabalho e os constrangimentos organizacionais podem despoletar riscos para a sua saúde mental, social e física. A exposição a riscos psicossociais no trabalho tem consequências para a saúde dos trabalhadores. Riscos estes que estão relacionados com a organização do trabalho, com o conteúdo das tarefas e com o ambiente vivenciado no local de trabalho. Para além de consequências para a saúde, a exposição a fatores de risco pode ter consequências que prejudicam o trabalhador, a organização e a sociedade em geral, exemplo dessa consequência é o absentismo. O absentismo é caracterizado pela ausência do trabalhador ao seu local de trabalho, podendo ter na sua essência múltiplas causas, sendo, por sua vez, causador de diversos problemas. A insatisfação com as condições e características do trabalho e os problemas de saúde causados e agravados pela exposição aos riscos leva ao elevado absentismo. Esta dissertação tem como intuito compreender a perceção dos assistentes operacionais acerca da exposição a fatores de riscos psicossociais, compreender a que se deve o elevado índice de absentismo laboral e perceber se existe relação entre este e as condições de trabalho e a perceção de exposição a riscos psicossociais. Participaram do estudo 85 assistentes operacionais, entre os 32 e os 65 anos, de escolas e jardins de infância do conselho. A recolha de dados foi realizada através do questionário INSAT2013 e pela técnica de observação não sistematizada, onde se procurou observar, com o intuito de compreender, as atividades, comportamentos, dificuldades, interações/relações e satisfação do trabalhador assistente operacional. Os principais resultados apresentam uma percepção moderada, por parte dos trabalhadores a riscos psicossociais de modo geral e a sua relação com o elevado absentismo. Umas das conclusões que se destaca na dissertação é que a elevada carga de trabalho reforçada com a redução de colaboradores levam ao aumento do absentismo.

Self-archiving publications

This chapter discusses the historical development, current practice and future prospects of the self-archiving of research papers in open-access repositories (so-called 'e-print archives'). It describes how the development of interoperable e-print repositories in a number of subject communities has shown that self-archiving can benefit academic researchers (and potentially others) by enabling quick and easy access to the research literature and therefore maximising the impact potential of papers. Realising that the possible benefits are high and the technical entry barriers low, many organisations such as universities have recently tried to encourage widespread self-archiving by setting up institutional repositories. However, major barriers to self-archiving remain - most of them cultural and managerial. There are concerns about quality control, intellectual property rights, disturbing the publishing status quo, and workload. Ways in which these issues are currently being addressed are discussed in this chapter. A number of self-archiving initiatives in different countries have been set up to address the concerns and to kick-start e-print repository use. However, issues remain which require further investigation; those discussed in this chapter include discipline differences, definitions of 'publication', versioning problems, digital preservation, costing and funding models, and metadata standards. The ways in which these issues are resolved will be important in determining the future of self-archiving. Possible futures are discussed with particular reference to journal publishing and quality control. If widely adopted, self-archiving might come to assume a central place in the scholarly communication process, but a great deal of restructuring of the process needs to take place before this potential can be realised.

Pk-IFRS:n soveltamisen vaikutukset tilinpäätösinformaation tuottajille ja käyttäjille Euroopassa

Pk-yritykset ovat nousseet merkittäväksi puheenaiheeksi viime vuosina niiden työllistävän vaikutuksen vuoksi. Iso osa uusista työpaikoista on syntynyt pk-yrityksiin eikä suuriin yrityksiin. Samalla kansainvälistymiskehitys on ollut aikamme suurimpia muutosvoimia, jotka vaikuttavat talouselämään. Kansainvälistymällä yritykset ovat saaneet uusia väyliä hankkia rahoitusta, laajentaneet ja monipuolistaneet asiakaskuntaansa ja hankkineet skaalaetuja. Kansainvälisyys aiheuttaa haasteita yritysten taloudelliselle raportoinnille, joten pk-yrityksille luotiin pk-IFRS –standardisto. Sen tarkoituksena on parantaa vertailukelpoisuutta eri maista tulevien yritysten välillä ja keventää raportoinnin raskautta. Tässä tutkielmassa selvitettiin, miten pk-IFRS:n soveltaminen vaikuttaa tilinpäätösten tekijöihin ja käyttäjiin. Tutkielma alkaa teoria-osuudesta, jossa käytiin läpi tuoreita tutkimuksia, minkä pohjalta esiin nousseita kysymyksiä käyttäen tehtiin empiria-osuudessa analysoitava haastattelu. Tutkimuksessa saatiin selville, että tutkijoiden ja haastateltavan näkemykset pk-IFRS:tä ovat pääosin samanlaiset. Pk-IFRS:n ongelmia on sen lyhyys, mikä aiheuttaa tulkintaongelmia ja monimutkaisuus, joka kuormittaa raportoijan resursseja. Pk-yritykset toimivat useimmin vain kotimaassa, jolloin hyödyt jäävät rajallisiksi. Pienemmissä pk-yrityksissä tilinpäätöksiä käyttäviä sidosryhmiä on vähän, jolloin käyttäjien saamat hyödyt ovat pienet. Kuitenkin käypään arvoon arvostus ja tiedon annon vaatimukset voivat helpottaa rahoituksen saantia joillekin yrityksille, jos pk-IFRS:ää aletaan soveltaa samalla tavalla joka maassa ja yrityksessä.

Online MBPeT dashboard : enabling performance testing as a service in the cloud

In this thesis, tool support is addressed for the combined disciplines of Model-based testing and performance testing. Model-based testing (MBT) utilizes abstract behavioral models to automate test generation, thus decreasing time and cost of test creation. MBT is a functional testing technique, thereby focusing on output, behavior, and functionality. Performance testing, however, is non-functional and is concerned with responsiveness and stability under various load conditions. MBPeT (Model-Based Performance evaluation Tool) is one such tool which utilizes probabilistic models, representing dynamic real-world user behavior patterns, to generate synthetic workload against a System Under Test and in turn carry out performance analysis based on key performance indicators (KPI). Developed at Åbo Akademi University, the MBPeT tool is currently comprised of a downloadable command-line based tool as well as a graphical user interface. The goal of this thesis project is two-fold: 1) to extend the existing MBPeT tool by deploying it as a web-based application, thereby removing the requirement of local installation, and 2) to design a user interface for this web application which will add new user interaction paradigms to the existing feature set of the tool. All phases of the MBPeT process will be realized via this single web deployment location including probabilistic model creation, test configurations, test session execution against a SUT with real-time monitoring of user configurable metric, and final test report generation and display. This web application (MBPeT Dashboard) is implemented with the Java programming language on top of the Vaadin framework for rich internet application development. The Vaadin framework handles the complicated web communications processes and front-end technologies, freeing developers to implement the business logic as well as the user interface in pure Java. A number of experiments are run in a case study environment to validate the functionality of the newly developed Dashboard application as well as the scalability of the solution implemented in handling multiple concurrent users. The results support a successful solution with regards to the functional and performance criteria defined, while improvements and optimizations are suggested to increase both of these factors.

QUALIDADE DE VIDA DE PROFESSORAS DO ENSINO BÁSICO DA REDE PÚBLICA

Objetivo: Avaliar os aspectos associados à qualidade de vida (QV) de professoras do ensino básico da rede pública de Viçosa-MG, buscando relações com a classe econômica. Métodos: Trata-se de um estudo descritivo transversal, desenvolvido entre março e outubro de 2013, realizado com 156 professoras da cidade de Viçosa-MG. Foram aplicados os questionários World Health Organization Quality of Life/BREF e o Critério de Classificação Econômica. Utilizou-se também um questionário contendo tempo de atuação e carga horária semanal de trabalho. Para comparação dos domínios da QV entre as classes econômicas, utilizou-se o teste ANOVA one way, com post hoc de Tukey. Para todos os tratamentos, adotou-se um nível de significância de p<0,05. Resultados: As avaliadas apresentaram idade média de 43,88 (+ 10,61) anos, carga horária de trabalho semanal de 29,00 (+ 10,35) horas e tempo de atuação profissional de 16,17 (+ 8,91) anos. A maioria das avaliadas se encontrava na classe econômica B1/B2, com 60,3%. O escore médio da QV geral foi de 68,43 (+ 11,69) pontos, com maiores valores para os domínios “relações sociais” e “físico”. Foi encontrada uma redução na média do domínio “meio ambiente” em relação à menor classe econômica (p=0,011). Houve correlação fraca e inversa entre o domínio “relações sociais” e a carga horária semanal de trabalho (r=-0,16; p=0,031). Conclusão: A QV da população estudada foi considerada entre regular e boa, levando-se em conta a escala do protocolo. Houve associação somente entre o domínio “meio ambiente” e a classe econômica.

Nuclear alterations in nasal mucosa epithelial cells of students exposed to formaldehyde

Introduction: Formaldehyde is a compound with a wide range and is commonly used in anatomy and pathology laboratories. At room temperature is quickly volatilized to a pungent and suffocating gas and its inhalation has been correlated to nuclear alterations in different tissues. We aimed to investigate whether exposure to this compound was correlated with the appearance of cytotoxic and genotoxic features in the nasal epithelial cells of students enrolled in a human anatomy course. Material and Methods: This prospective study collected periodically nasal cells from mucosa of 17 volunteers from two different undergraduate programs with different workloads of practical lessons in an anatomy laboratory, 30 and 90 hours per semester. Cells were staining according to Feulgen method and nuclear morphology was analyzed to detect possible damage. Dunn's post hoc test was used in the statistical analysis. Pearson's correlation was performed for gender, age and questionnaire responses. Results: Epithelial cells showed indicators of cytotoxicity and mutagenicity. Students with a more extensive workload in anatomy laboratory displayed a more severe profile with an increase in karyorrhexis (p < 0.05) over time. The micronucleus analysis showed difference between first and second collection (p < 0.01), although it was not maintained over the time. Students with a less extensive workload display no differences in most of cytological features. Despite karyorrhexis was present in a greater number of cells, for this group no significant difference was observed between any range. The same was observed to karyolysis and micronucleus (p > 0.05). Conclusion: Individuals exposed for short periods of time to formaldehyde are subject to the toxic action of this gas. Karyorrhexis was the most frequently observed cytotoxic feature and micronucleus showed an increase between the first time point. The patterns observed between the student's groups suggest a negative effect due to exposure time.

Sketching the temporal landscape : The case of night nursing

We take for granted that we exist in dimensions of time and space. We accept that time passes and that space extends as a matter of course. Just as our personal space is important to us, so is time of our own. The individual is capable of developing a variety of time perspectives or orientations, each applicable to a different aspect of life, for instance, home, leisure, economic, political and organisational. Our temporal perspective influences a wide range of psychological processes, from motivation, emotions and spontaneity to risk-taking creativity and problem-solving. Our temporal landscapes are made up of recognisable domains, with permeable borders – private time and public time, home time and work time, past, present and future time, cyclical time. Just as a geography of space contains recognisable natural features – rivers, deserts, mountains – and features created by human beings – canals, roads, skyscrapers – so our temporal landscape contains natural features – day and night, the seasons – and features created by us – the ordering of social, economic, legal, and organisational time into, among others, the practices of family life, financial periods, prison sentences and workloads. This paper views the temporal landscapes of night nurses, and is based on longitudinal ethnographic research. It highlights areas such as shift work, workload, and the temporal aspects of caring. The result is the production of a map, albeit a rough one, of the temporal landscape inhabited by night nurses as they go about their working lives.

Low back pain, intervertebral disc and occupational diseases

International audience

Evaluation of ergonomic physical risk factors in a truck manufacturing plant: case study in SCANIA Production Angers

International audience

Nitretação em plasma com gaiola catódica: investigação do mecanismo e estudo comparativo com a nitretação em plasma de tensão contínua

The ionic plasma nitriding is one of the most important plasma assisted treatment technique for surface modification, but it presents some inherent problems mainly in nitriding pieces with complex geometries. In the last four years has appeared a plasma nitriding technique, named ASPN (Active Screen Plasma Nitriding) in which the samples and the workload are surrounded by a metal screen on which the cathodic potential is applied. This new technique makes possible to obtain a perfect uniform nitrided layer apart from the shape of the samples. The present work is based on the development of a new nitriding plasma technique named CCPN (Cathodic Cage Plasma Nitriding) Patent PI 0603213-3 derived from ASPN, but utilizes the hollow cathode effect to increase the nitriding process efficiency. That technique has shown great improvement on the treatment of several types of steels under different process conditions, producing thicker and harder layers when compared with both, ASPN and ionic plasma nitriding, besides eliminating problems associated with the later technique. The best obtained results are due to the hollow cathode effect on the cage holes. Moreover, characteristic problems of ionic plasma nitriding are eliminated due to the fact that the luminescent discharge acts on the cage wall instead of on the samples surface, which remains under a floating potential. In this work the enhancement of the cathodic cage nitriding layers proprieties, under several conditions for some types of steels was investigated, besides the mechanism for nitrides deposition on glass substrate, concluding that the CCPN is both a diffusion and a deposition process at the same time

Diseño de un modelo de nivelación de la producción en la empresa Lácteos San Antonio C. A. bajo metodología de manufactura esbelta

El presente trabajo de titulación tiene como propósito diseñar para la empresa Lácteos San Antonio C.A., un modelo que le permita eliminar los desniveles en la carga de trabajo u operaciones irregulares en el proceso de producción (Heijunka-Pull). El primer capítulo describe la situación actual de la empresa en relación a sus procesos de planificación de la producción. Además establece los problemas y objetivos a alcanzar, para finalmente exponer las herramientas que se utilizarán en la consecución de los mismos. En el segundo capítulo se detalla no sólo los principales conceptos y principios teóricos en los que se ha basado el modelo propuesto sino también se presenta el proceso que ha servido de guía para su elaboración. En el capítulo 3 se desarrolla el modelo de nivelación de la producción bajo la metodología de Manufactura esbelta (“Lean Manufacturing”), el cual le permitirá a la organización una mejor planificación de inventarios. Para ello se ha elaborado un presupuesto de ventas ajustado, cuyos datos han sido corregidos para una mejor aproximación a la demanda real mediante el cálculo del valor de los productos faltantes. Adicionalmente, se ha aplicado dos métodos de planificación para nivelar las órdenes de producción, los cuales buscan incrementar el nivel de disponibilidad mediante la reducción del tamaño de los lotes de producción y a través del incremento de la cantidad de productos por carga de trabajo.

A systems approach to cardiovascular health and disease with a focus on aortic wave dynamics

Cardiovascular diseases (CVDs) have reached an epidemic proportion in the US and worldwide with serious consequences in terms of human suffering and economic impact. More than one third of American adults are suffering from CVDs. The total direct and indirect costs of CVDs are more than $500 billion per year. Therefore, there is an urgent need to develop noninvasive diagnostics methods, to design minimally invasive assist devices, and to develop economical and easy-to-use monitoring systems for cardiovascular diseases. In order to achieve these goals, it is necessary to gain a better understanding of the subsystems that constitute the cardiovascular system. The aorta is one of these subsystems whose role in cardiovascular functioning has been underestimated. Traditionally, the aorta and its branches have been viewed as resistive conduits connected to an active pump (left ventricle of the heart). However, this perception fails to explain many observed physiological results. My goal in this thesis is to demonstrate the subtle but important role of the aorta as a system, with focus on the wave dynamics in the aorta.

The operation of a healthy heart is based on an optimized balance between its pumping characteristics and the hemodynamics of the aorta and vascular branches. The delicate balance between the aorta and heart can be impaired due to aging, smoking, or disease. The heart generates pulsatile flow that produces pressure and flow waves as it enters into the compliant aorta. These aortic waves propagate and reflect from reflection sites (bifurcations and tapering). They can act constructively and assist the blood circulation. However, they may act destructively, promoting diseases or initiating sudden cardiac death. These waves also carry information about the diseases of the heart, vascular disease, and coupling of heart and aorta. In order to elucidate the role of the aorta as a dynamic system, the interplay between the dominant wave dynamic parameters is investigated in this study. These parameters are heart rate, aortic compliance (wave speed), and locations of reflection sites. Both computational and experimental approaches have been used in this research. In some cases, the results are further explained using theoretical models.

The main findings of this study are as follows: (i) developing a physiologically realistic outflow boundary condition for blood flow modeling in a compliant vasculature; (ii) demonstrating that pulse pressure as a single index cannot predict the true level of pulsatile workload on the left ventricle; (iii) proving that there is an optimum heart rate in which the pulsatile workload of the heart is minimized and that the optimum heart rate shifts to a higher value as aortic rigidity increases; (iv) introducing a simple bio-inspired device for correction and optimization of aortic wave reflection that reduces the workload on the heart; (v) deriving a non-dimensional number that can predict the optimum wave dynamic state in a mammalian cardiovascular system; (vi) demonstrating that waves can create a pumping effect in the aorta; (vii) introducing a system parameter and a new medical index, Intrinsic Frequency, that can be used for noninvasive diagnosis of heart and vascular diseases; and (viii) proposing a new medical hypothesis for sudden cardiac death in young athletes.