Ownership structure and collateral requirements: Evidence from China’s listed firms

This paper examines the effect of ownership structure on collateral requirements using a sample of China's listed firms from 2007 to 2009. We find that compared to privately controlled companies, state-controlled companies are less likely to be required to pledge collateral, and such a difference is more pronounced for firms in troubled industries. The empirical results also show that the effect of state control on collateral requirements is weaker in companies with more foreign ownership. Moreover, the effect of state control on collateral requirements is weaker in companies with more third party guarantees. Finally, we find that the effect of state control on collateral requirements is more pronounced for firms operating in regions with more government intervention.

Protein requirements and recommendations for older people: a review

Declines in skeletal muscle mass and strength are major contributors to increased mortality, morbidity and reduced quality of life in older people. Recommended Dietary Allowances/Intakes have failed to adequately consider the protein requirements of the elderly with respect to function. The aim of this paper was to review definitions of optimal protein status and the evidence base for optimal dietary protein. Current recommended protein intakes for older people do not account for the compensatory loss of muscle mass that occurs on lower protein intakes. Older people have lower rates of protein synthesis and whole-body proteolysis in response to an anabolic stimulus (food or resistance exercise). Recommendations for the level of adequate dietary intake of protein for older people should be informed by evidence derived from functional outcomes. Randomized controlled trials report a clear benefit of increased dietary protein on lean mass gain and leg strength, particularly when combined with resistance exercise. There is good consistent evidence (level III-2 to IV) that consumption of 1.0 to 1.3 g/kg/day dietary protein combined with twice-weekly progressive resistance exercise reduces age-related muscle mass loss. Older people appear to require 1.0 to 1.3 g/kg/day dietary protein to optimize physical function, particularly whilst undertaking resistance exercise recommendations.

Considering the chemical energy requirements of the tri-n-propylamine co-reactant pathways for the judicious design of new electrogenerated chemiluminescence detection systems

The introduction of a 'co-reactant' was a critical step in the evolution of electrogenerated chemiluminescence (ECL) from a laboratory curiosity to a widely utilised detection system. In conjunction with a suitable electrochemiluminophore, the co-reactant enables generation of both the oxidised and reduced precursors to the emitting species at a single electrode potential, under the aqueous conditions required for most analytical applications. The most commonly used co-reactant is tri-n-propylamine (TPrA), which was developed for the classic tris(2,2'-bipyridine)ruthenium(ii) ECL reagent. New electrochemiluminophores such as cyclometalated iridium(iii) complexes are also evaluated with this co-reactant. However, attaining the excited states in these systems can require much greater energy than that of tris(2,2'-bipyridine)ruthenium(ii), which has implications for the co-reactant reaction pathways. In this tutorial review, we describe a simple graphical approach to characterise the energetically feasible ECL pathways with TPrA, as a useful tool for the development of new ECL detection systems.

KBRE: a framework for knowledge-based requirements engineering

Detecting inconsistencies is a critical part of requirements engineering (RE) and has been a topic of interest for several decades. Domain knowledge and semantics of requirements not only play important roles in elaborating requirements but are also a crucial way to detect conflicts among them. In this paper, we present a novel knowledge-based RE framework (KBRE) in which domain knowledge and semantics of requirements are central to elaboration, structuring, and management of captured requirements. Moreover, we also show how they facilitate the identification of requirements inconsistencies and other-related problems. In our KBRE model, description logic (DL) is used as the fundamental logical system for requirements analysis and reasoning. In addition, the application of DL in the form of Manchester OWL Syntax brings simplicity to the formalization of requirements while preserving sufficient expressive power. A tool has been developed and applied to an industrial use case to validate our approach.

A pair-oriented requirements engineering approach for analysing multi-lingual requirements

Requirements written in multiple languages can lead to error-proneness, inconsistency and incorrectness. In a Malaysian setting, software engineers are exposed to both Malay and English requirements. This can be a challenging task for them especially when capturing and analyzing requirements. Further, they face difficulties to model requirements using semi-formal or formal models. This paper introduces a new approach, Pair-Oriented Requirements Engineering (PORE) that uses an Essential Use Case (EUC) model to capture and analyze multi-lingual requirements. This approach is intended to assist practitioners in developing correct and consistent requirements as well as developing teamwork skills. Two quasi-experiment studies involving 80 participants in the first study and 38 participants in a subsequent study were conducted to evaluate the effectiveness of this approach with respect to correctness and time spent in capturing multi-lingual requirements. It was found that PORE improves accuracy and hence helps users perform better in developing high quality requirements models.

Capturing security requirements using essential use cases (EUCs)

Capturing security requirements is a complex process, but it is crucial to the success of a secure software product. Hence, requirements engineers need to have security knowledge when eliciting and analyzing the security requirements from business requirements. However, the majority of requirements engineers lack such knowledge and skills, and they face difficulties to capture and understand many security terms and issues. This results in capturing inaccurate, inconsistent and incomplete security requirements that in turn may lead to insecure software systems. In this paper, we describe a new approach of capturing security requirements using an extended Essential Use Cases (EUCs) model. This approach enhances the process of capturing and analyzing security requirements to produce accurate and complete requirements. We have evaluated our prototype tool using usability testing and assessment of the quality of our generated EUC security patterns by security engineering experts.

GUITAR: An ontology-based automated requirements analysis tool

Combining goal-oriented and use case modeling has been proven to be an effective method in requirements elicitation and elaboration. However, current requirements engineering approaches generally lack reliable support for automated analysis of such modeled artifacts. To address this problem, we have developed GUITAR, a tool which delivers automated detection of incorrectness, incompleteness and inconsistency between artifacts. GUITAR is based on our goal-use case integration meta-model and ontologies of domain knowledge and semantics. GUITAR also provides comprehensive explanations for detected problems and can suggest resolution alternatives.