French good practice guidelines for management of the risk of low back pain among workers exposed to manual material handling: Hierarchical strategy of risk assessment of work situations

International audience

Factors affecting vaccine handling and storage practices among immunization service providers in Ibadan, Oyo State, Nigeria.

Background: Improper handling has been identified as one of the major reasons for the decline in vaccine potency at the time of administration. Loss of potency becomes evident when immunised individuals contract the diseases the vaccines were meant to prevent. Objective: Assessing the factors associated with vaccine handling and storage practices. Methods: This was a cross-sectional study. Three-stage sampling was used to recruit 380 vaccine handlers from 273 health facilities from 11 Local Government areas in Ibadan. Data was analysed using SPSS version 16 Results: Seventy-three percent were aware of vaccine handling and storage guidelines with 68.4% having ever read such guidelines. Only 15.3% read a guideline less than 1 month prior to the study. About 65.0% had received training on vaccine management. Incorrect handling practices reported included storing injections with vaccines (13.7%) and maintaining vaccine temperature using ice blocks (7.6%). About 43.0% had good knowledge of vaccine management, while 66.1% had good vaccine management practices. Respondents who had good knowledge of vaccine handling and storage [OR=10.0, 95%CI (5.28 – 18.94), p < 0.001] and had received formal training on vaccine management [OR=5.3, 95%CI (2.50 – 11.14), p< 0.001] were more likely to have good vaccine handling and storage practices. Conclusion: Regular training is recommended to enhance vaccine handling and storage practices.

A PRELIMINARY SURVEY OF ANIMAL HANDLING AND CULTURAL SLAUGHTER PRACTICES AMONG KENYAN COMMUNITIES: POTENTIAL INFLUENCE ON MEAT QUALITY

Kenya is composed of over 40 ethnic communities who practice varied methods of animal handling and slaughter. Socio-cultural and religious traditions have the potential to influence animal handling and slaughter practices. These influences have, however, not been documented in the literature as far as the author is aware. Also, the literature has documented the connection between the manner of animal treatment and meat quality, but this is rarely discussed in the literature in Kenya; this connection is important as it informs modern meat trade practices by Kenyans as they trade in the global arena. This survey aimed to mainly establish and document the animal slaughter practices among Kenyan communities, and, to also highlight any current provisions related to meeting modern animal welfare requirements, animal handling procedures in the meat trade and discuss their potential influence on meat quality available in commerce in Kenya. This preliminary study surveyed the slaughter practices among 10 different Kenyan communities through a semi-structured questionnaire, focus group discussions and individual interviews. The survey demonstrated that different Kenyan communities practice varied methods of animal slaughter depending on whether the animal being slaughtered is for public feasting, domestic consumption or commercial merchandizing. The Kenyan communities surveyed in this study depend mainly on males to slaughter livestock for females preparing it for domestic use using a number of instruments and methods. For small stock for domestic consumption, females may slaughter the animal except for Muslims whose males have to slaughter the animal with a special knife (a Khalef) according to Muslim rites to render it Halal. Large stock is invariably slaughtered by males irrespective of the community, and the manner of use of the carcass. Gender, age, religion, community and the size of the animal were the major determinants of the method of animal slaughter. The animal welfare issues highlighted in the survey and related to the handling and slaughter of livestock have important implications for meat quality during commercial merchandizing. There is an apparent need to provide education to herders, livestock handlers, employees and management in the livestock industry in Kenya on the relationship between animal welfare requirements, animal handling procedures and meat quality. Such awareness can potentially improve the quality and economic value of the meat available in commerce.

Fault detection with Conditional Gaussian Network

International audience

Dynamics of some limnological characteristics in pacu (Piaractus mesopotamicus) culture tanks as function of handling

Visando obter subsídios para um estudo da qualidade da água em tanques de piscicultura, realizou-se um experimento de 166 dias com uma espécie nativa, pacu (Piaractus mesopotamicus). Nos tanques foram testados dois níveis diferentes de proteína na dieta (16% e 34% de proteína bruta) e três densidades de estocagem (0,25; 0,50 e 0,77 peixes/m²). Dos resultados obtidos foi observado que a interação entre a densidade de estocagem e a duração do experimento interferiram nas variáveis bicarbonato e alcalinidade e a interação entre a densidade de estocagem e a porcentagem de proteína interferiram nas concentrações de CO2 livre e total, condutividade e pH (P < 0,05). A temperatura da água nos tanques variou significativamente ao longo do período estudado (P < 0,05), diminuindo gradativamente do verão para o inverno. Não houve diferença significativa no tempo de residência da água nos tanques (P > 0,05) durante a duração do experimento. Os demais parâmetros não sofreram interferência dos tratamentos ao longo do período de estudo.

FACTORS INFLUENCING MATERIAL LOSS DURING IRON ORE PELLET HANDLING

Iron ore concentrate pellets have the potential to fracture and abrade during transportation and handling, which produces unwanted fine particulates and dust. Consequently, pellet producers characterize the abrasion resistance of their pellets, using an Abrasion Index (AI), to indicate whether their products will produce unacceptable levels of fines. However, no one has ever investigated whether the AI correlates to pellet dustiness. During the course of this research, we investigated the relationship between AI and iron ore concentrate pellet dustiness using a wide range of industrial and laboratory pellet samples. The results showed that, in general, AI can be used to indicate high levels of dust. However, for good-quality pellets, there was no correlation between the two. Thus, dust generation from shipping and handling pellets will depend on the quantity of pellets handled and how much they are handled. These results also showed that the type of industrial furnace used to harden iron ore concentrate pellets may affect their fines generation and potential dustiness.

FAULT MORPHOLOGY WITHIN THE SOUTHERN KENYAN PORTION OF THE EAST AFRICAN RIFT VALLEY

Faults form quickly, geologically speaking, with sharp, crisp step-like profiles. Logic dictates that erosion wears away this "sharpness" or angularity creating more rounded features. As erosion occurs, debris accumulates at the base of the scarp slope. The stable end point of this process is when the scarp slope approaches an ideal sigmoid shape. This theory of fault end process, in combination with a new method developed in this report for fault profile delineation, has the potential to enable observation and categorization of fault profiles over large, diverse swaths of fault formation-- in remote areas such as the Southern Kenyan Rift Valley. This up-to date method uses remote sensing data and the digitizer tool in Global Mapper to create shape files of fault segments. This method can provide further evidence to support the notion that sigmoidal- shaped profiles represent a natural endpoint of the erosional process of fault scarps. Over time, faults of many different ages would exist in this similar shape over a wide region. However, keeping in mind that other processes can be at work on scarps-- most notably drainage patterns, when anomalies in profiles are observed, reactivation in some form possibly has occurred.

Adaptive Software Fault Prediction Approach Using Object-Oriented Metrics

As users continually request additional functionality, software systems will continue to grow in their complexity, as well as in their susceptibility to failures. Particularly for sensitive systems requiring higher levels of reliability, faulty system modules may increase development and maintenance cost. Hence, identifying them early would support the development of reliable systems through improved scheduling and quality control. Research effort to predict software modules likely to contain faults, as a consequence, has been substantial. Although a wide range of fault prediction models have been proposed, we remain far from having reliable tools that can be widely applied to real industrial systems. For projects with known fault histories, numerous research studies show that statistical models can provide reasonable estimates at predicting faulty modules using software metrics. However, as context-specific metrics differ from project to project, the task of predicting across projects is difficult to achieve. Prediction models obtained from one project experience are ineffective in their ability to predict fault-prone modules when applied to other projects. Hence, taking full benefit of the existing work in software development community has been substantially limited. As a step towards solving this problem, in this dissertation we propose a fault prediction approach that exploits existing prediction models, adapting them to improve their ability to predict faulty system modules across different software projects.

Design Optimization of Modern Machine-drive Systems for Maximum Fault Tolerant and Optimal Operation

Modern electric machine drives, particularly three phase permanent magnet machine drive systems represent an indispensable part of high power density products. Such products include; hybrid electric vehicles, large propulsion systems, and automation products. Reliability and cost of these products are directly related to the reliability and cost of these systems. The compatibility of the electric machine and its drive system for optimal cost and operation has been a large challenge in industrial applications. The main objective of this dissertation is to find a design and control scheme for the best compromise between the reliability and optimality of the electric machine-drive system. The effort presented here is motivated by the need to find new techniques to connect the design and control of electric machines and drive systems. A highly accurate and computationally efficient modeling process was developed to monitor the magnetic, thermal, and electrical aspects of the electric machine in its operational environments. The modeling process was also utilized in the design process in form finite element based optimization process. It was also used in hardware in the loop finite element based optimization process. The modeling process was later employed in the design of a very accurate and highly efficient physics-based customized observers that are required for the fault diagnosis as well the sensorless rotor position estimation. Two test setups with different ratings and topologies were numerically and experimentally tested to verify the effectiveness of the proposed techniques. The modeling process was also employed in the real-time demagnetization control of the machine. Various real-time scenarios were successfully verified. It was shown that this process gives the potential to optimally redefine the assumptions in sizing the permanent magnets of the machine and DC bus voltage of the drive for the worst operating conditions. The mathematical development and stability criteria of the physics-based modeling of the machine, design optimization, and the physics-based fault diagnosis and the physics-based sensorless technique are described in detail. To investigate the performance of the developed design test-bed, software and hardware setups were constructed first. Several topologies of the permanent magnet machine were optimized inside the optimization test-bed. To investigate the performance of the developed sensorless control, a test-bed including a 0.25 (kW) surface mounted permanent magnet synchronous machine example was created. The verification of the proposed technique in a range from medium to very low speed, effectively show the intelligent design capability of the proposed system. Additionally, to investigate the performance of the developed fault diagnosis system, a test-bed including a 0.8 (kW) surface mounted permanent magnet synchronous machine example with trapezoidal back electromotive force was created. The results verify the use of the proposed technique under dynamic eccentricity, DC bus voltage variations, and harmonic loading condition make the system an ideal case for propulsion systems.

Fault Line

FAULT LINE examines the fragile humanity connected to the themes of sexuality, violence, addiction, family dynamics, and death. The book is not broken into sections; rather, as poems build upon one another to explore a narrative arc, FAULT LINE tracks a single speaker’s experience from girlhood to the verge of independent womanhood. The speaker employs formal structures such as the prose poem, sestina, and particularly the list poem to examine the fluidity of inner experience and also the culture at large while challenging the narrow definitions of femininity and masculinity. FAULT LINE works to not only address the question of blame but also the literal breaks in lines of poetry. By looking at a single speaker’s struggle, the book, like life, is both humorous and horrifying.

Non-invasive winding fault detection for induction machines based on stray flux magnetic sensors

Non-intrusive monitoring of health state of induction machines within industrial process and harsh environments poses a technical challenge. In the field, winding failures are a major fault accounting for over 45% of total machine failures. In the literature, many condition monitoring techniques based on different failure mechanisms and fault indicators have been developed where the machine current signature analysis (MCSA) is a very popular and effective method at this stage. However, it is extremely difficult to distinguish different types of failures and hard to obtain local information if a non-intrusive method is adopted. Typically, some sensors need to be installed inside the machines for collecting key information, which leads to disruption to the machine operation and additional costs. This paper presents a new non-invasive monitoring method based on GMRs to measure stray flux leaked from the machines. It is focused on the influence of potential winding failures on the stray magnetic flux in induction machines. Finite element analysis and experimental tests on a 1.5-kW machine are presented to validate the proposed method. With time-frequency spectrogram analysis, it is proven to be effective to detect several winding faults by referencing stray flux information. The novelty lies in the implement of GMR sensing and analysis of machine faults.

Importance of Ecological Factors and Colony Handling for Optimizing Health Status of Apiaries in Mediterranean Ecosystems

We analyzed six apiaries in several natural environments with a Mediterranean ecosystem in Madrid, central Spain, in order to understand how landscape and management characteristics may influence apiary health and bee production in the long term. We focused on five criteria (habitat quality, landscape heterogeneity, climate, management and health), as well as 30 subcriteria, and we used the analytic hierarchy process (AHP) to rank them according to relevance. Habitat quality proved to have the highest relevance, followed by beehive management. Within habitat quality, the following subcriteria proved to be most relevant: orographic diversity, elevation range and important plant species located 1.5 km from the apiary. The most important subcriteria under beehive management were honey production, movement of the apiary to a location with a higher altitude and wax renewal. Temperature was the most important subcriterion under climate, while pathogen and Varroa loads were the most significant under health. Two of the six apiaries showed the best values in the AHP analysis and showed annual honey production of 70 and 28 kg/colony. This high productivity was due primarily to high elevation range and high orographic diversity, which favored high habitat quality. In addition, one of these apiaries showed the best value for beehive management, while the other showed the best value for health, reflected in the low pathogen load and low average number of viruses. These results highlight the importance of environmental factors and good sanitary practices to maximize apiary health and honey productivity.

Gymnasielärares skrivpraktiker : Skrivande som professionell handling i en digitaliserad skola

The aim of this thesis is to contribute to deeper knowledge about the writing practices of teachers in upper secondary school. Schools are under constant pressure to respond to the needs and expectations of an ever-changing society and political intentions. A major factor in this change which is taking place in schools is digitalization. Another factor is the adoption of new governing principles for schools involving management by goals and results, which brings increased demands for written documentation of teachers' work. In order to describe and problematize this development the thesis is based on a combination of Critical Discourse Analysis and New Literacy (Clark and Ivanič, 1997). The theoretical framework rests upon an understanding of writing as social action and the idea that texts both affect and are affected by the social environment. The empirical study focuses on twelve teachers and their writing practices, analyzed during week-long field visits over three years. The teachers' talk about their writing is used together with analyses of texts and images to investigate parts of teachers' writing which, according to the teachers, are considered complex and problematic. The findings indicate significant differences between the writing practices of the individual teachers, where each teacher has his or her own system of texts fulfilling different purposes. Despite these differences it is still possible to identify recurrent themes in the discursive conditions for teachers' writing: efficiency, reuse, authority, audit, relationships to addressees, and room to maneuver. The study illustrates possible dilemmas for teachers' writing at the intersection of teachers' professional responsibility and demands for accountability.

Proposal and Validation of a Scale of Composite Measure Reactivity Score to Characterize the Reactivity in Horses During Handling

This study aimed to identify the parameters related to the expression of the reactivity in horses during handling and based on that proposed and validated a scale of composite measure reactivity score to characterize horse's reactivity. To this end, the first stage (S1) proposed the scale and the second (S2) validated it. In S1, 364 Lusitano horses were evaluated, 188 were adult breeding mares (4–12 years old), and 176 were foals (males/females, aged from 2 months to 2 years). During hooves trimming, vermifuge application, palpation scores were assigned to behaviors of movement, ears and eyes position, breathing, vocalization, and urination. A response parameter called reactivity was attributed to each animal, ranging from score 1 (nonreactive/calm) to score 4 (very reactive/aggressive). The verification of the possible parameters (age, behavior), which explains the response parameter (reactivity), was taken using ordinal proportional odds model. Movement, breathing, ears and eyes position, vocalization, and age appear to explain the reactivity of horses during handling (P < .01). Therefore, based on these parameters, it was possible to propose two scales of composite measure reactivity score: one to characterize the mares and another the foals. On S2, the proposed scale was validated by the simultaneous application of Forced Human Approach Test, another commonly used test to evaluate the reactivity in horses, with a correlation of 0.97 (P < .05). The assessment of the reactivity of horses during handling by a composite measure reactivity score scale is valid, and easy to apply, without disrupting daily routine and override the impact of individual differences.

Before It's Too Late: INGOs' Handling of Conflict Risk in South Sudan

What do international non-governmental organisations (INGOs) do before and during the escalation of conflicts? The academic literature primarily focuses on these organisations' behaviour during an evident crisis rather than on how they anticipate the escalation of conflicts, assess the situation in which they find themselves, and decide on strategies to cope with the possibility of upcoming violence. Such lopsided focus persists despite calls for INGOs to become more proactive in managing their programmes and their staff members' safety. Mindful of this imbalance, the present study provides a causal explanation of how decision-makers in INGOs anticipate and react to the risk of low-level violence escalating into full-blown conflicts. This thesis aims to explain these actors' behaviour by presenting it as a two�step process involving how INGOs conduct risk assessments and how they turn these assessments into decisions. The study performs a structured, focused comparison of seven INGOs operating in South Sudan before the so-called Juba Clashes of 7 July 2016. Based on an analytical framework of INGO decision�making stemming from political risk analysis, organisational decision-making theory and conflict studies literature, the study reconstructs decision-making via process-tracing combined with mixed methods of data collection.