Women's disengagement from legal proceedings for intimate partner violence: sociodemographic and psychological variables

The aim of this study is to shed light on what makes women decide whether or not to continue with legal proceedings for intimate partner violence once they have commenced. Legal professionals, members of the police force, and women in Spain were interviewed to help draft a questionnaire that was applied to a sample of 345 women who had undertaken legal proceedings against their (ex)partners. Socio-demographic, emotional, and psychological variables were considered as possible predictor variables and included in a logistic regression analysis. Results show that the best equation for predicting disengagement from legal procedures includes the level of support received by the victim, contact with the aggressor, thoughts about going back with the aggressor, and a feeling of guilt. The essential role of the psychological support during the legal process is emphasized in conclusions.

Classical Invariants for Principal Series and Isomorphisms of Root Data

We develop some new techniques to calculate the Schur indicator for self-dual irreducible Langlands quotients of the principal series representations. Using these techniques we derive some new formulas for the Schur indicator and the real-quaternionic indicator. We make progress towards developing an algorithm to decide whether or not two root data are isomorphic. When the derived group has cyclic center, we solve the isomorphism problem completely. An immediate consequence is a clean and precise classification theorem for connected complex reductive groups whose derived groups have cyclic center.

Trade Liberalization and Organizational Change

We embed a simple incomplete-contracts model of organization design in a standard two-country perfectly-competitive trade model to examine how the liberalization of product and factor markets affects the ownership structure of firms.In our model, managers decide whether or not to integrate their firms, trading off the pecuniary benefits of coordinating production decisions with the private benefits of operating in their preferred ways. The price of output is a crucial determinant of this choice, since it affects the size of the pecuniary benefits. In particular, non-integration is chosen at “low” and “high” prices, while integration occurs at moderate prices. Organizational choices also depend on the terms of trade in supplier markets, which affect the division of surplus between managers. We obtain three main results. First, even when firms do not relocate across countries, the price changes triggered by liberalization of product markets can lead to significant organizational restructuring within countries. Second, the removal of barriers to factor mobility can lead to inefficient reorganization and adversely affect consumers. Third, “deep integration” — the liberalization of both product and factor markets — leads to the convergence of organizational design across countries.

Bias of damage awards and free options in securities litigation

Damage measures in securities fraud cases are very imprecise because they are based on security price changes that reflect both the correction of previous misrepresentation and other independent information. Consequently, potential plaintiffs have a valuable “free option” to decide whether or not to file suit, and average damage awards are greater than actual damages, much greater when markets are volatile. The “Private Securities Litigation Reform Act of 1995” was intended to curb abusive litigation and to address the problem of excessive damage awards. Motivated by a misdiagnosis that excess awards are due to temporary price drops, the Act limits damages to the difference between the purchase price and the time-averaged trading price from the release of the corrective information until 90 days later or until the sale of the security, whichever is first. Unfortunately, the Act's modified measure of damages suffers from a more severe free-option problem than did the traditional measure. Also, the Act introduced an additional new option to time the sale of the security; the effects of these options may be mitigated by the impact of the positive drift in stock prices over time, if the time-averaged price is not adjusted for market movements. As a result, the bias can be larger or smaller under the new Act, depending on how severe the free-option problem is. We propose an alternative approach to addressing the issue of excessive damages: courts should adopt a threshold of measured damages below which no damage would be awarded. The threshold would depend on several factors, most notably the volatility of the stock in the period under question. That is, damages will be awarded only if measured damages exceed the threshold, and awards would be capped by the formula presented in the Reform Act.

A highly practical approach toward achieving minimum data sets storage cost in the cloud

Massive computation power and storage capacity of cloud computing systems allow scientists to deploy computation and data intensive applications without infrastructure investment, where large application data sets can be stored in the cloud. Based on the pay-as-you-go model, storage strategies and benchmarking approaches have been developed for cost-effectively storing large volume of generated application data sets in the cloud. However, they are either insufficiently cost-effective for the storage or impractical to be used at runtime. In this paper, toward achieving the minimum cost benchmark, we propose a novel highly cost-effective and practical storage strategy that can automatically decide whether a generated data set should be stored or not at runtime in the cloud. The main focus of this strategy is the local-optimization for the tradeoff between computation and storage, while secondarily also taking users' (optional) preferences on storage into consideration. Both theoretical analysis and simulations conducted on general (random) data sets as well as specific real world applications with Amazon's cost model show that the cost-effectiveness of our strategy is close to or even the same as the minimum cost benchmark, and the efficiency is very high for practical runtime utilization in the cloud.

Optimal vigilance level and hiring illegal immigrants

This paper assumes a Ricardian Economy and analyzes migration of illegal unskilled workers in a model of Cournot Duopoly where firms are producing homogenous and non-traded goods, and hiring illegal immigrants. The focus is on the behaviours of firms and the implications for the output, prices and employment of domestic workers in that industry. A two-stage simultaneous move game is set up: In Stage 1, for a given technology and vigilance level, each individual firm will decide whether to hire illegal immigrants. In Stage 2, each firm will choose the Cournot output level. Using this structure, we provide additional insights as to why firms hire illegal workers and what motivates these firms in their hiring practices. Furthermore the presence of illegal immigrants may create more employment for domestic workers and a social planner can be strategic in choosing optimal level of vigilance as we have shown that multiple solutions for optimal vigilance are possible and also Pareto ranked.

Accounting for volunteer services : a deficiency in accountability

The purpose of this study is to identify the extent to which NFP organisations disclose information on volunteer contributions of services. Design/methodology/approach – The study relies on information disclosed in the websites of NFP organisations. Findings - We find that disclosure was more prevalent on NFP websites compared to digital annual report disclosures. We find that more NFPs provided disclosure on the activities of their volunteers than other items pertaining to volunteers and the quantification and valuation of volunteer contributions were the least likely to be disclosed. Importantly, the findings illustrate an accountability deficiency in the comprehensiveness of disclosure which results in an under-representation of the contribution volunteers provide to organisational sustainability and impact on mission fulfilment. Research limitations/implications – The convenience sample size restricts further interrogation to tease out organisational characteristics that may influence current disclosure practices. Practical implications - The findings contribute to international debate over the inclusion of volunteer contributions in the assessment of a NFP’s accountability over its resources and ultimately the enhancement of its sustainability.

NEC Contracting: Evaluation of the Inclusion of Dispute Review Boards in lieu of Adjudication in the Construction Industry in the United Kinddom

The construction industry is renowned for spending vast sums in the resolution of disputes, but never in the prevention. The purpose of this paper is to analyse the New Engineering Contract (NEC) to determine whether or not adjudication has become misaligned with the contract’s objective of promoting effective management. In doing so, the paper examines dispute review boards in order to ascertain if they could be a viable alternative to adjudication. A sequential mixed methodology is adopted including a detailed literature review, eight semi-structured interviews, culminating in the circulation and analysis of a questionnaire, to record the significance of the factors identified. The research concludes that the majority of individuals agree that dispute review boards would be more aligned with the NEC. The familiarity of members, the potential to curb rogue behaviour of parties and the proactive nature of the board are flagged as positive features, however the cost aspect requires further investigation. The reservations made in the study about adjudication, such as the priority given to speed over accuracy and also the adversarial nature of the process, suggest that a preventative step prior to proceeding to adjudication would coincide more with the three core themes of the NEC Contract and therefore, be a positive addition.

Biosensor based toxicity dissection of tannery and associated environmental samples

Kenyan tannery and associated environmental samples were selected for ecotoxicological assessment. A tool-kit of techniques was developed, including whole-cell biosensor and chemical assays. A luminescence based bacterial biosensor (Escherichia coli HB101 pUCD607) (via a multi-copy plasmid) was used for toxicity assessment. Samples were manipulated prior to biosensor interrogation to identify the nature of the toxic contaminants. Untreated samples (before any manipulations) showed a strong toxic effect at the discharge point in comparison to other sampling points. Sparging was used to identify toxicity associated with volatile organics. The toxicity of contaminants, removed by treatment with activated charcoal was identified for all the sampling points except for those upstream of effluent discharges. Filtration identified toxicity associated with suspended solids. Changes in availability of toxic contaminants due to pH adjustment of most samples from the tannery effluent treatment pits were also associated with the extreme pH values (4.0 and 8.0). The approach used has highlighted the complexicity of toxic pollutants in effluent from the tanning industry and the dissection of toxicity points to possible remediation strategies for effluents from the tanning industry.

Special Section Guest Editorial: Image/Video Quality and System Performance

Rapid developments in display technologies, digital printing, imaging sensors, image processing and image transmission are providing new possibilities for creating and conveying visual content. In an age in which images and video are ubiquitous and where mobile, satellite, and three-dimensional (3-D) imaging have become ordinary experiences, quantification of the performance of modern imaging systems requires appropriate approaches. At the end of the imaging chain, a human observer must decide whether images and video are of a satisfactory visual quality. Hence the measurement and modeling of perceived image quality is of crucial importance, not only in visual arts and commercial applications but also in scientific and entertainment environments. Advances in our understanding of the human visual system offer new possibilities for creating visually superior imaging systems and promise more accurate modeling of image quality. As a result, there is a profusion of new research on imaging performance and perceived quality.

Historie van het leven en sterven van Heer Johan van Oldenbarnevelt ... Waerachtelijek beschreven door een liefhebber der waarheydt.

Contains also"Eenige opmerckingen, memorien, notitien, ende consideratien, tegens den inhouldt van de pretense, ende gansch ongesondeerde, sententie, op den 13 May, 1619, tegens den Heere Iohan van Olden-Barnevelt..."

Polynomial Decompositions in Polynomial Time

Fix a prime p. Given a positive integer k, a vector of positive integers Delta = (Delta(1), Delta(2), ... , Delta(k)) and a function Gamma : F-p(k) -> F-p, we say that a function P : F-p(n) -> F-p is (k, Delta, Gamma)-structured if there exist polynomials P-1, P-2, ..., P-k : F-p(n) -> F-p with each deg(P-i) <= Delta(i) such that for all x is an element of F-p(n), P(x) = Gamma(P-1(x), P-2(x), ..., P-k(x)). For instance, an n-variate polynomial over the field Fp of total degree d factors nontrivially exactly when it is (2, (d - 1, d - 1), prod)- structured where prod(a, b) = a . b. We show that if p > d, then for any fixed k, Delta, Gamma, we can decide whether a given polynomial P(x(1), x(2), ..., x(n)) of degree d is (k, Delta, Gamma)-structured and if so, find a witnessing decomposition. The algorithm takes poly(n) time. Our approach is based on higher-order Fourier analysis.

Data-based robust multiobjective optimization of interconnected processes: energy efficiency case study in papermaking.

Reducing energy consumption is a major challenge for "energy-intensive" industries such as papermaking. A commercially viable energy saving solution is to employ data-based optimization techniques to obtain a set of "optimized" operational settings that satisfy certain performance indices. The difficulties of this are: 1) the problems of this type are inherently multicriteria in the sense that improving one performance index might result in compromising the other important measures; 2) practical systems often exhibit unknown complex dynamics and several interconnections which make the modeling task difficult; and 3) as the models are acquired from the existing historical data, they are valid only locally and extrapolations incorporate risk of increasing process variability. To overcome these difficulties, this paper presents a new decision support system for robust multiobjective optimization of interconnected processes. The plant is first divided into serially connected units to model the process, product quality, energy consumption, and corresponding uncertainty measures. Then multiobjective gradient descent algorithm is used to solve the problem in line with user's preference information. Finally, the optimization results are visualized for analysis and decision making. In practice, if further iterations of the optimization algorithm are considered, validity of the local models must be checked prior to proceeding to further iterations. The method is implemented by a MATLAB-based interactive tool DataExplorer supporting a range of data analysis, modeling, and multiobjective optimization techniques. The proposed approach was tested in two U.K.-based commercial paper mills where the aim was reducing steam consumption and increasing productivity while maintaining the product quality by optimization of vacuum pressures in forming and press sections. The experimental results demonstrate the effectiveness of the method.

Data-based robust multiobjective optimization of interconnected processes: Energy efficiency case study in papermaking

Reducing energy consumption is a major challenge for energy-intensive industries such as papermaking. A commercially viable energy saving solution is to employ data-based optimization techniques to obtain a set of optimized operational settings that satisfy certain performance indices. The difficulties of this are: 1) the problems of this type are inherently multicriteria in the sense that improving one performance index might result in compromising the other important measures; 2) practical systems often exhibit unknown complex dynamics and several interconnections which make the modeling task difficult; and 3) as the models are acquired from the existing historical data, they are valid only locally and extrapolations incorporate risk of increasing process variability. To overcome these difficulties, this paper presents a new decision support system for robust multiobjective optimization of interconnected processes. The plant is first divided into serially connected units to model the process, product quality, energy consumption, and corresponding uncertainty measures. Then multiobjective gradient descent algorithm is used to solve the problem in line with user's preference information. Finally, the optimization results are visualized for analysis and decision making. In practice, if further iterations of the optimization algorithm are considered, validity of the local models must be checked prior to proceeding to further iterations. The method is implemented by a MATLAB-based interactive tool DataExplorer supporting a range of data analysis, modeling, and multiobjective optimization techniques. The proposed approach was tested in two U.K.-based commercial paper mills where the aim was reducing steam consumption and increasing productivity while maintaining the product quality by optimization of vacuum pressures in forming and press sections. The experimental results demonstrate the effectiveness of the method. © 2006 IEEE.

A Praça das Cidades : A Praça da República das Caldas da Rainha

A presente dissertação tem como objectivo reflectir sobre as condições funcionais da Praça da República, nas Caldas da Rainha, no domínio da sua regeneração e das potencialidades económicas e sociais, no sentido de apresentar uma solução, entre outras possíveis, como contributo para futuras intervenções. Ao estudo da Praça da República das Caldas da Rainha associou-se o caso da Praça do Mercado de Cambridge, na Inglaterra, fundamental como termo de comparação no sentido de tentar regenerar a Praça da República. A dissertação desenvolve-se em três partes. A primeira parte centra-se numa apresentação generalista e exemplificativa das praças, com destaque para as suas formas e funções. Na segunda parte, procedemos a uma observação pormenorizada do caso de Cambridge, em relação ao seu funcionamento, tipo de vendas e intervenções. Por último, na terceira parte, para além de procedermos a um exame pormenorizado da Praça da República, em relação aos seus problemas, à sua importância e ao estado de conservação dos edifícios envolventes, finalizamos com uma proposta de intervenção. O estudo desenvolvido neste trabalho permitiu-nos concluir que esta praça necessita, urgentemente, de uma intervenção que corrija a situação de decadência em que se encontra e dê solução a problemas de acessibilidade, limpeza, estacionamento, para além de necessitar da construção de um edifício de apoio que torne este espaço acolhedor e agradável e que não seja apenas local fortuito de passagem.