Precarious employment and social reproduction: the impact on health and well-being

This dissertation aims to make a theoretical and empirical contribution to the debate on precarious employment, social reproduction and the impact on health and well-being. In recent years, numerous studies have examined the effect of precarious employment as a social determinant on health and well-being, focusing on gender differences in this phenomenon. Within this framework, the research design is to investigate this topic quantitatively in the United Kingdom using longitudinal data to assess the long-term effects of precarious employment and informal care work on health. More specifically, the aim of this thesis is to investigate the impact of precarious employment on health and to analyze gender differences within this phenomenon, particularly in relation to the role of informal care work. The analysis shows that precarious employment is indeed associated to a detrimental effect on health and that this effect is stronger for women’s mental health. Additionally, the analysis shows that time spent on informal care work explains part of the gender gap in mental health, and that informal care and the number of hours spent on it are associated with worse mental health for women. Finally, during the first few months of Covid-19, for both men and women, performing more hours of care work on average is associated with worse mental health, showing that it is not so much the change from fewer to more hours that affects health, but rather those who do more hours on average, hence the long-term effect of being an intensive informal carer.

The development and production of leaves and tillers by Marandu palisadegrass fertilised with nitrogen and sulphur

The effects of combined nitrogen and sulphur fertilisation on the dynamics of leaf and tiller appearance in Marandu palisadegrass (Brachiaria brizantha cv. Marandu) and its impact on dry matter production were evaluated in a greenhouse study. Grass seedlings were grown in pots filled with a soil classified as an Entisol and were harvested after 43 days, a further 35 days and finally after 48 more days. Five rates of N (0, 100, 200, 300 and 400 mg/dm(3)) and 5 rates of S (0, 10, 20, 30 and 40 mg/dm(3)) were tested in an incomplete factorial design with 4 replications. Leaf and tiller development were monitored every 3 days by counting the appearance of recently expanded leaves and new basal tillers. The phyllochron and thermal time between appearance of tillers decreased as N and S fertiliser levels increased to about 300 and 25 mg/dm(3), respectively, then tended to increase. In contrast, leaf and tiller appearance rates increased with the supply of these nutrients to similar levels, then tended to decline. Leaf and tiller production and dry matter yields were affected by both N and S levels, with the role of S increasing as the growth phases increased.

The effect of grain refinement and silicon content on grain formation in hypoeutectic Al-Si alloys

The effect of increasing the amount of added grain refiner on grain size and morphology has been investigated for a range of hypoeutectic Al-Si alloys. The results show a transition in grain size at a silicon concentration of about 3 wt% in unrefined alloys; the grain size decreasing with silicon content before the transition, and increasing beyond the transition point. A change in morphology also occurs with increased silicon content. The addition of grain refiner leads to greater refinement for silicon contents below the transition point than for those contents above the transition point, while the transition point seems to remain unchanged. The slope of the grain size versus silicon content curve after the transition seems to be unaffected by the degree of grain refinement. The results are related to the competitive processes of nucleation and constitutional effects during growth and their impact on nucleation kinetics. (C) 1999 Elsevier Science S.A. All rights reserved.

The effect of oestrogen and alendronate therapies on postmenopausal bone loss around osseointegrated titanium implants

Objectives This study evaluated the influence of oestrogen deficiency and its therapies on bone tissue around osseointegrated implants. Methods Implants were placed in 66 female rats tibiae. The animals were assigned into five groups: control (CTL), sham, ovariectomy (OVX), oestrogen (EST), and alendronate (ALE). While CTL was sacrificed 60 days after implant placement, other groups were subjected to ovariectomy or sham surgery according to group and euthanized after 90 days. Blood and urine samples were collected at sacrifice day for osteocalcin (OCN) and deoxypyridinoline (DPD) quantification. Densitometry of femur and lumbar vertebrae was performed in order to evaluate rats` skeletal impairment. Non-decalcified sections were referred to fluorescent and light microscopy for analyses of mineral apposition rate (MAR), eroded and osteoclastic surfaces, bone-to-implant contact (BIC), and bone area fraction occupancy (BAFO). Results Results from the OVX group showed significantly lower bone mineral density (BMD), BIC, BAFO, and MAR, while OCN, deoxipiridinoline, eroded surface and ostecoclastic surface were increased compared with the other groups of the study. ALE reduced OCN and DPD concentrations, MAR, osteoclastic and eroded surfaces, and no difference was in BIC and BAFO relative to SHAM. EST and CTL showed similar results to SHAM for measurements. Conclusions Oestrogen deficiency exerted a negative influence on bone tissue around implants, while oestrogen replacement therapy and alendronate were effective against its effects. Although alendronate therapy maintained the quantity of bone around implants, studies evaluating bone turnover kinetics are warranted. To cite this article:Giro G, Coelho PG, Pereira RMR, Jorgetti V, Marcantonio E Jr, Orrico SRP. The effect of oestrogen and alendronate therapies on postmenopausal bone loss around osseointegrated titanium implants.Clin. Oral Impl. Res. 22, 2011; 259-264.doi: 10.1111/j.1600-0501.2010.01989.x.

Multifocal Renal Allograft Biopsy: Impact on Therapeutic Decisions

Objective. There are no data to support the suggestion that samples removed from one segment of the transplanted kidney are representative of the whole graft. The aim of this study was to compare the histological differences between biopsies obtained from different portions of the renal allograft and their impact on treatment recommendations. Patients and Methods. Two hundred percutaneous biopsies were performed on kidney allografts and samples were collected from the upper and lower poles (100 kidneys). All samples were randomized and blindly reviewed. We obtained the discordance rates between the poles for the grading of acute rejection and for the diagnosis of nephrotoxicity due to immunosuppression. We also checked if the differences found were sufficient to call for different clinical recommendations. These values were compared with the intrapathologist variation rates. Results. In 70 kidneys adequate sampling was obtained from both poles. The diagnosis of acute rejection were made in 1.7. The discordance rate between the upper and lower poles was 82.3% (kappa = 0.34), higher than the intrapathologist variation (P =.002). Nephrotoxicity was found in 14 kidneys. The discordance rate between the upper and lower poles was 28.6% (kappa = 0.88), with no difference compared with the intrapathologist variation. In 14 of the 70 kidneys (25.7%), discordances between poles had impact on clinical recommendations, most of these cases due to different gradings of acute rejection (78%). This number was higher than the intrapathologist variation (P =.04). Conclusions. The histopathological changes in the kidney allograft are not always homogeneous. This heterogeneity may affect the therapeutic recommendations.

Tissue Eosinophilia and Its Association With Tumoral Invasion of Oral Cancer

This study investigated if tumor-associated tissue eosinophilia (TATE) could be associated with the process of tissue invasion in oral squamous cell carcinomas (OSCCs) and its influence on patient`s prognosis. Forty-three patients treated for OSCCs with or without lymph nodes involvement, at A. C. Camargo Cancer Hospital, Brazil, were selected for TATE analysis. Two degrees of tissue eosinophilia were established in OSCC: absent/mild and intense. The TATE was evaluated in relation to the clinicopathological features and prognostic value using chi(2) test and the Kaplan-Meier method. Most of the patients with OSCC in advanced clinical stage presented Muscular infiltration and significantly intense TATE whereas those with tumors in early stage frequently showed absent/mild eosinophilia (P = .009). The TATE showed no prognostic value for 5-year and 10-year survival rates of the OSCC. These findings suggest that intense TATE seems to reflect the stromal invasion of the OSCCs that occur in advanced clinical stage.

Tuna fishmeal as a source of DHA for n-3 PUFA enrichment of pork, chicken, and eggs

Enriching foods with long-chain n-3 PUFA (LC n-3 PUFA) is an important approach to increasing the dietary intake of these beneficial nutrients. Enrichment of meat and eggs can be achieved by adding flaxseed, fish oil, or fishmeal to pig or poultry feeds. However, utilization of these sources, particularly fishmeal, has been limited by concerns about adverse effects on sensory qualities, In this study, we evaluated the use of PorcOmega(TM) (POM), a stabilized tuna fishmeal formulation, as a source of DHA for enrichment of park and poultry products, Pigs, broilers, and laying hens were fed rations containing varying levels of POM for varying time periods, and its impact on the LC n-3 PUFA content and sensory qualities of cooked meat and eggs was examined. Pork and chicken products, including chops, sausages, and eggs, with substantially increased (up to sevenfold) levels of LC n-3 PUFA (predominantly DHA) were achieved by including up to 10% POM in rations. The increases were retained after cooking. Some sensory deficits were noted when using higher levels of POM (exceeding 15% in meat and 10% in eggs). However, at modest rates of feeding (5-10% POM), palatable meat and eggs were obtained with worthwhile levels of enrichment. The fishmeal feeding strategy used in this study offers a viable means of producing a range of alternative dietary sources of LC n-3 PUFA. Paper no.

India's homosexual discrimination and health consequences

A large number of countries worldwide have legalized homosexual rights. But for 147 years, since when India was a British colony, Section 377 of the Indian Penal Code defines homosexuality as a crime, punishable by imprisonment. This outdated law violates the fundamental rights of homosexuals in India. Despite the fact that literature drawn from Hindu, Buddhist, Muslim, and modern fiction testify to the presence of same-sex love in various forms, homosexuality is still considered a taboo subject in India, by both the society and the government. In the present article, the continuation of the outdated colonial-era homosexuality law and its impact on the underprivileged homosexual society in India is discussed, as well as consequences to this group's health in relation to HIV infection.

Structuring and moodleing a course: case studies at the polytechnic of Porto - School of engineering

This work presents a comparative study covering four different courses lectured at the Polytechnic of Porto - School of Engineering, in respect to the usage of a particular Learning Management System, i.e. Moodle, and its impact on students' results. Even though positive correlation factors exist, e.g. between the number of Moodle accesses versus the final exam grade obtained by each student, the explanation behind it may not be straightforward. Mapping this particular factor to course numbers reveals that the quality of the resources might be preponderant and not only their quantity. This paper also addresses teachers who used this platform as a complement to their courses (b-learning) and identifies some particular issues they should be aware in order to potentiate students' engagement and learning.

Unmixing hyperspectral data: independent and dependent component analysis

The development of high spatial resolution airborne and spaceborne sensors has improved the capability of ground-based data collection in the fields of agriculture, geography, geology, mineral identification, detection [2, 3], and classification [4–8]. The signal read by the sensor from a given spatial element of resolution and at a given spectral band is a mixing of components originated by the constituent substances, termed endmembers, located at that element of resolution. This chapter addresses hyperspectral unmixing, which is the decomposition of the pixel spectra into a collection of constituent spectra, or spectral signatures, and their corresponding fractional abundances indicating the proportion of each endmember present in the pixel [9, 10]. Depending on the mixing scales at each pixel, the observed mixture is either linear or nonlinear [11, 12]. The linear mixing model holds when the mixing scale is macroscopic [13]. The nonlinear model holds when the mixing scale is microscopic (i.e., intimate mixtures) [14, 15]. The linear model assumes negligible interaction among distinct endmembers [16, 17]. The nonlinear model assumes that incident solar radiation is scattered by the scene through multiple bounces involving several endmembers [18]. Under the linear mixing model and assuming that the number of endmembers and their spectral signatures are known, hyperspectral unmixing is a linear problem, which can be addressed, for example, under the maximum likelihood setup [19], the constrained least-squares approach [20], the spectral signature matching [21], the spectral angle mapper [22], and the subspace projection methods [20, 23, 24]. Orthogonal subspace projection [23] reduces the data dimensionality, suppresses undesired spectral signatures, and detects the presence of a spectral signature of interest. The basic concept is to project each pixel onto a subspace that is orthogonal to the undesired signatures. As shown in Settle [19], the orthogonal subspace projection technique is equivalent to the maximum likelihood estimator. This projection technique was extended by three unconstrained least-squares approaches [24] (signature space orthogonal projection, oblique subspace projection, target signature space orthogonal projection). Other works using maximum a posteriori probability (MAP) framework [25] and projection pursuit [26, 27] have also been applied to hyperspectral data. In most cases the number of endmembers and their signatures are not known. Independent component analysis (ICA) is an unsupervised source separation process that has been applied with success to blind source separation, to feature extraction, and to unsupervised recognition [28, 29]. ICA consists in finding a linear decomposition of observed data yielding statistically independent components. Given that hyperspectral data are, in given circumstances, linear mixtures, ICA comes to mind as a possible tool to unmix this class of data. In fact, the application of ICA to hyperspectral data has been proposed in reference 30, where endmember signatures are treated as sources and the mixing matrix is composed by the abundance fractions, and in references 9, 25, and 31–38, where sources are the abundance fractions of each endmember. In the first approach, we face two problems: (1) The number of samples are limited to the number of channels and (2) the process of pixel selection, playing the role of mixed sources, is not straightforward. In the second approach, ICA is based on the assumption of mutually independent sources, which is not the case of hyperspectral data, since the sum of the abundance fractions is constant, implying dependence among abundances. This dependence compromises ICA applicability to hyperspectral images. In addition, hyperspectral data are immersed in noise, which degrades the ICA performance. IFA [39] was introduced as a method for recovering independent hidden sources from their observed noisy mixtures. IFA implements two steps. First, source densities and noise covariance are estimated from the observed data by maximum likelihood. Second, sources are reconstructed by an optimal nonlinear estimator. Although IFA is a well-suited technique to unmix independent sources under noisy observations, the dependence among abundance fractions in hyperspectral imagery compromises, as in the ICA case, the IFA performance. Considering the linear mixing model, hyperspectral observations are in a simplex whose vertices correspond to the endmembers. Several approaches [40–43] have exploited this geometric feature of hyperspectral mixtures [42]. Minimum volume transform (MVT) algorithm [43] determines the simplex of minimum volume containing the data. The MVT-type approaches are complex from the computational point of view. Usually, these algorithms first find the convex hull defined by the observed data and then fit a minimum volume simplex to it. Aiming at a lower computational complexity, some algorithms such as the vertex component analysis (VCA) [44], the pixel purity index (PPI) [42], and the N-FINDR [45] still find the minimum volume simplex containing the data cloud, but they assume the presence in the data of at least one pure pixel of each endmember. This is a strong requisite that may not hold in some data sets. In any case, these algorithms find the set of most pure pixels in the data. Hyperspectral sensors collects spatial images over many narrow contiguous bands, yielding large amounts of data. For this reason, very often, the processing of hyperspectral data, included unmixing, is preceded by a dimensionality reduction step to reduce computational complexity and to improve the signal-to-noise ratio (SNR). Principal component analysis (PCA) [46], maximum noise fraction (MNF) [47], and singular value decomposition (SVD) [48] are three well-known projection techniques widely used in remote sensing in general and in unmixing in particular. The newly introduced method [49] exploits the structure of hyperspectral mixtures, namely the fact that spectral vectors are nonnegative. The computational complexity associated with these techniques is an obstacle to real-time implementations. To overcome this problem, band selection [50] and non-statistical [51] algorithms have been introduced. This chapter addresses hyperspectral data source dependence and its impact on ICA and IFA performances. The study consider simulated and real data and is based on mutual information minimization. Hyperspectral observations are described by a generative model. This model takes into account the degradation mechanisms normally found in hyperspectral applications—namely, signature variability [52–54], abundance constraints, topography modulation, and system noise. The computation of mutual information is based on fitting mixtures of Gaussians (MOG) to data. The MOG parameters (number of components, means, covariances, and weights) are inferred using the minimum description length (MDL) based algorithm [55]. We study the behavior of the mutual information as a function of the unmixing matrix. The conclusion is that the unmixing matrix minimizing the mutual information might be very far from the true one. Nevertheless, some abundance fractions might be well separated, mainly in the presence of strong signature variability, a large number of endmembers, and high SNR. We end this chapter by sketching a new methodology to blindly unmix hyperspectral data, where abundance fractions are modeled as a mixture of Dirichlet sources. This model enforces positivity and constant sum sources (full additivity) constraints. The mixing matrix is inferred by an expectation-maximization (EM)-type algorithm. This approach is in the vein of references 39 and 56, replacing independent sources represented by MOG with mixture of Dirichlet sources. Compared with the geometric-based approaches, the advantage of this model is that there is no need to have pure pixels in the observations. The chapter is organized as follows. Section 6.2 presents a spectral radiance model and formulates the spectral unmixing as a linear problem accounting for abundance constraints, signature variability, topography modulation, and system noise. Section 6.3 presents a brief resume of ICA and IFA algorithms. Section 6.4 illustrates the performance of IFA and of some well-known ICA algorithms with experimental data. Section 6.5 studies the ICA and IFA limitations in unmixing hyperspectral data. Section 6.6 presents results of ICA based on real data. Section 6.7 describes the new blind unmixing scheme and some illustrative examples. Section 6.8 concludes with some remarks.

Two divergent ways to manage HR and to get to the top: an exploratory study in micro firms

Aim of the paper: The purpose of this paper is to examine human resources management practices (HRM practices) in small firms and to improve the understanding of the relationship between this kind of practices and business growth. This exploratory study is based on the resource-based view of the firm and empirical work carried out in two small firms by relating HRM practices with the firms’ results. Contribution to the literature: This is an in-depth study of HRM practices and its impact on performance growth in micro firms, isolating and controlling for most of the contextual and internal variables considered in the literature that relate HRM to growth. Firm growth analysis was broadened by the use of several dependent variables: employment growth and operational and financial performance growth. Some hypotheses for further research in identifying HRM practices in small business and its relation with firm growth are suggested. Methodology: Case study methodology was used to study two firms. The techniques used to collect data were semi-structured interviews to the owner and all the employees, unstructured observation at the firms’ facilities (during two days), entrepreneur profile definition (survey answer) and document data collection (on demographic characterization and performance results). Data was analyzed through content analysis methodology, and categories derived from the interviews’ protocols and literature. Results and implications: Results revealed that despite the firms’ organizational characteristics similarities, they differ significantly in owners’ motivation to grow, HRM practices and organizational performance and growth. Future studies should pay special attention to owner willingness to grow, to firms’ years of experience in business, to staff’s years of experience in their field of work and turnover. HRM practices in micro/small firms should be better defined and characterized. The external image of management posture relating to longitudinal financial results and growth should also be explored.

The role of humor in television advertisement: A study regarding Portuguese consumers’ emotions and reactions

The purpose of this study is to explore the humorous side of television advertisement and its impact on Portuguese consumers’ hearts, minds and wallets. Both qualitative (through in-depth interviews) and quantitative (through an on-line survey and subsequent statistical data analysis) methods were used, guaranteeing a more consistent, strong and valid research. Twenty-five interviews with randomly chosen consumers were conducted face-to-face and three interviews via e-mail with marketers and television advertisers were performed in order to explore profoundly the subject. Moreover, 360 people have answered the on-line survey. Through the analysis of the data collected humor perception was found to be positively correlated with persuasion and intention to purchase the product; intention to share the advert; message comprehension; product liking and development of positive feelings towards the brand and brand credibility variables. The main implication of these findings relies on the fact that humor in advertising is able to boost its effectiveness.

Occupational Ergonomics and Safety, Part 1

[Excerpt] It seems that significant progress has been made in last years in what concerns the scientific knowledge about work and its impact on workers’ wellbeing and health, which includes but it is not limited to occupational ergonomics and safety. Even considering that this domain is very transversal and comprehensive, as it may include researchers from multidisciplinary teams, research in this domain has clearly increased and we have now a larger number of scientific events, a higher number of researchers publishing their works, and a high emergence rate of research groups at universities and other research institutions, which was also followed by an increasing concern about these issues by governments and other regulators. Even though it is strikingly difficult to demonstrate it in an unequivocal way, this appears to have had a clear effect on companies and on their ability to implement plans and measures to prevent and control occupational risk factors. But despite these advances, occupational risk prevention is still a domain for which solutions are neither complete nor permanent, since the evolution of work systems gives rise to new challenges.

Evolution of endurance during a multidisciplinary treatment of chronic low back pain and its influence of work capacity

Introduction: Low back pain is a common disorder touching up to 80% of the population, with redundancies of up to 70%. A small proportion would go on to develop chronic low back pain (LBP) with reduced work capacity and they would count for the majority of the costs. Up to day, a multi-disciplinary treatment program is one of the best approaches. In the program one of the mile-stones is restoration of function. The aim of this study was to follow patients, according to the endurance change after the program and its influence on workability during one year after inclusion in a such program. Method: Patients were following a multidisciplinary treatment for 3 weeks including physiotherapy, occupation measures combined with an educational program with behavioural and psychological interventions on an outpatient program. We studied the endurance with the help of the Bruce test, accomplished at the beginning and at the end of the program. On the other hand the patients filled out pain questionnaires and PACT score according their own impression on workability. Results: There were a clear relation between the increase in the cardiovascular endurance and the increased workability. Almost every patient presented an increase in the VO2 max, even though the workability did not follow. This increase were associated with a decrease in pain apprehension. Conclusion: A multidisciplinary treatment program, teaching the patients how to care with their pain and to accept it even if it persist is successful in lowering the global pain. If the program allows the patients to strengthen the endurance, the workability will increase in parallel. In this way the patients were able to reduce the consummation of medicaments and to increase the work capacity.

Living in the Wrong Neighbourhood: State Failure and its Implications for Neighbouring Countries

Why and how do failed states affect neighbouring countries? The attention of the international community towards state failure has grown significantly in recent years, improving the understanding of this phenomenon; nevertheless, the knowledge about the influence of state failure on neighbouring countries remain scarce. This research aims at contributing to filling up the existing gap by analyzing two different cases of state failure –Liberia and Afghanistan– and its consequences on four of their neighbours –Sierra Leone, Guinea, Pakistan and Tajikistan. More concretely, this research investigates the importance of insurgency movements in the relationship between these countries. The research argues that failed states generate conflict-enhancing mechanisms –which might lead to conflict outbreak– in their neighbours through the creation of informal networks. The empiric evidence shows how insurgency-based informal networks have a decisive role in the outbreak of conflict.