Recording Victim Video Statements as Evidence to Advance Legal Outcomes in Family Violence Cases (ReVEAL)

This Implementation Guide provides an overview of the video-recording practices currently in place across several Texas jurisdictions. It provides guidance and considerations for jurisdictions in the collection and use of video evidence in family violence cases. This guide is divided into seven sections, including this Background and Overview. The second section includes information for law enforcement on the purpose of video statements, how to develop and implement a video program, and considerations for sustaining a program. The third section focuses on prosecutorial practices for the use of video statements including legal considerations, coordination with partners, and victim engagement around the video statement. The fourth section provides specific information for victim advocates and includes considerations for victim privacy and confidentiality. The fifth section focuses on technology and equipment, with information on type of equipment, technology infrastructure, and efficient transfer of evidence between agencies. The sixth section is the Summary Report of the ReVEAL project. The Summary Report is a technical overview of the evaluation that includes major findings and links to the ReVEAL reports that were previously released. The seventh and final section is comprised of the appendices and provides sample protocols, site overviews, equipment charts, and additional resources that may be helpful to users of this guide. Throughout this guide, there are several examples of cases and practices that illustrate the specific issues that may present themselves when launching a video-recording program. These examples highlight the complexities of the practice while using real world examples of how video impacts family violence cases, victim safety, and privacy.IC2 Institut

A Logical Approach to Cooperative Information Systems

``Cooperative information system management'' refers to the capacity of several computing systems to communicate and cooperate in order to acquire, store, manage, query data and knowledge. Current solutions to the problem of cooperative information management are still far from being satisfactory. In particular, they lack the ability to fully model cooperation among heterogeneous systems according to a declarative style. The use of a logical approach to model all aspects of cooperation seems very promising. In this paper, we de®ne a logical language able to support cooperative queries, updates and update propagation. We model the sources of information as deductive databases, sharing the same logical language to ex- press queries and updates, but containing independent, even if possibly related, data. We use the Obj-U-Datalog (E. Bertino, G. Guerrini, D. Montesi, Toward deductive object data- bases, Theory and Practice of Object Systems 1 (1) (1995) 19±39) language to model queries and transactions in each source of data. Such language is then extended to deal with active rules in the style of Active-U-Datalog (E. Bertino, B. Catania, V. Gervasi, A. Ra aet a, Ac- tive-U-Datalog: Integrating active rules in a logical update language, in: B. Freitag, H. Decker, M. Kifer, A. Voronkov (Eds.), LBCS 1472: Transactions and Change in Login Databases, 1998, pp. 106±132), interpreted according to the PARK semantics proposed in G. Gottlob, G. Moerkotte, V.S. Subrahmanian (The PARK semantics for active rules, in: P.M.G. Apers, M. Bouzeghoub, G. Gardarin (Eds.), LNCS 1057: Proceedings of the Fifth International Con- ference on Extending Database Technology, 1996, pp. 35±55). By using active rules, a system can e ciently perform update propagation among di erent databases. The result is a logical environment, integrating active and deductive rules, to perform update propagation in a cooperative framework

T-infinity: The Dependency Inversion Principle for Rapid and Sustainable Multidisciplinary Software Development

The CFD Vision 2030 Study recommends that, NASA should develop and maintain an integrated simulation and software development infrastructure to enable rapid CFD technology maturation.... [S]oftware standards and interfaces must be emphasized and supported whenever possible, and open source models for noncritical technology components should be adopted. The current paper presents an approach to an open source development architecture, named T-infinity, for accelerated research in CFD leveraging the Dependency Inversion Principle to realize plugins that communicate through collections of functions without exposing internal data structures. Steady state flow visualization, mesh adaptation, fluid-structure interaction, and overset domain capabilities are demonstrated through compositions of plugins via standardized abstract interfaces without the need for source code dependencies between disciplines. Plugins interact through abstract interfaces thereby avoiding N 2 direct code-to-code data structure coupling where N is the number of codes. This plugin architecture enhances sustainable development by controlling the interaction between components to limit software complexity growth. The use of T-infinity abstract interfaces enables multidisciplinary application developers to leverage legacy applications alongside newly-developed capabilities. While rein, a description of interface details is deferred until the are more thoroughly tested and can be closed to modification

Physical Plan Instrumentation in Databases: Mechanisms and Applications

Database management systems (DBMSs) are designed with the goal set to compile SQL queries to physical plans that, when executed, provide results to the SQL queries. Building on this functionality, an ever-increasing number of application domains (e.g., provenance management, online query optimization, physical database design, interactive data profiling, monitoring, and interactive data visualization) seek to operate on how queries are executed by the DBMS for a wide variety of purposes ranging from debugging and data explanation to optimization and monitoring. Unfortunately, DBMSs provide little, if any, support to facilitate the development of this class of important application domains. The effect is such that database application developers and database system architects either rewrite the database internals in ad-hoc ways; work around the SQL interface, if possible, with inevitable performance penalties; or even build new databases from scratch only to express and optimize their domain-specific application logic over how queries are executed. To address this problem in a principled manner in this dissertation, we introduce a prototype DBMS, namely, Smoke, that exposes instrumentation mechanisms in the form of a framework to allow external applications to manipulate physical plans. Intuitively, a physical plan is the underlying representation that DBMSs use to encode how a SQL query will be executed, and providing instrumentation mechanisms at this representation level allows applications to express and optimize their logic on how queries are executed. Having such an instrumentation-enabled DBMS in-place, we then consider how to express and optimize applications that rely their logic on how queries are executed. To best demonstrate the expressive and optimization power of instrumentation-enabled DBMSs, we express and optimize applications across several important domains including provenance management, interactive data visualization, interactive data profiling, physical database design, online query optimization, and query discovery. Expressivity-wise, we show that Smoke can express known techniques, introduce novel semantics on known techniques, and introduce new techniques across domains. Performance-wise, we show case-by-case that Smoke is on par with or up-to several orders of magnitudes faster than state-of-the-art imperative and declarative implementations of important applications across domains. As such, we believe our contributions provide evidence and form the basis towards a class of instrumentation-enabled DBMSs with the goal set to express and optimize applications across important domains with core logic over how queries are executed by DBMSs

The deferred model of reality for designing and evaluating organisational learning processes: A critical ethnographic case study of Komfo Anokye teaching hospital, Ghana

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.The study proposed an evidence-based framework for designing and evaluating organisational learning and knowledge management processes to support continuously improving intentions of organisations such as hospitals. It demarcates the extant approaches to organisational learning including supporting technology into ‘rationalist’ and ‘emergent’ schools which utilise the dichotomy between the traditional healthcare managers’ roles and clinicians’ roles, and maintains that they are exclusively inadequate to accomplish transformative growth intentions, such as continuously improving patient care. The possibility of balancing the two schools for effective organisational learning design is not straightforward, and fails; because the balanced-view school is theoretically orientated and lack practical design to resolve power tensions entrenched in organisational structures. Prior attempts to address the organisational learning and knowledge management design and evaluation problematics in actuality have situated in the interpretivist traditions, only focusing on explanations of meanings. Critically, this is uncritical of power relations and orthodox practices. The theory of deferred action is applied in the context of critical research methods and methodology to expose the motivations behind the established organisational learning and knowledge management practices of Komfo Anokye Teaching Hospital (KATH) which assumed rationality design conceptions. Ethnographic data was obtained and interpreted with combined critical hermeneutics and narrative analyses to question the extent of healthcare learning and knowledge management systems failures and unveil the unheard voices as force for change. The study makes many contributions to knowledge but the key ones are: (i) Practically, the participants accepted the study as a catalyst for (re)-designing healthcare learning and knowledge management systems to typify the acceptance of the theory of deferred action in practice; (ii) theoretically, the cohered emergent transformation (CET) model was developed from the theory of deferred action and validated with empirical data to explain how to plan strategically to achieve transformative growth objectives; and (iii) methodologically, the sense-making of the ethnographic data was explored with the combined critical hermeneutics and critical narrative analyses, the data interpretation lens from the critical theory and qualitative pluralism positions, to elucidate how the unheard emergent voices could bring change to the existing KATH learning and knowledge management processes for improved patient care

Three essays on commodity markets

This dissertation consists of three essays that investigate issues in agricultural commodity futures and cash markets. The first essay uses price discovery measures and intraday data to quantify the proportional contribution of nearby and deferred contracts in price discovery in the corn and live cattle futures markets. On average, nearby contracts reflect information more quickly than deferred contracts in the corn market but have a relatively less dominant role in the live cattle market. In both markets, the nearby contract loses dominance when its relative volume share dips below 50%, which typically occurs when the nearby is close to maturity. Regression results indicate that the share of price discovery is mainly related to trading volume and time to expiration in both markets. In the corn market, the price discovery share between nearby and deferred contracts is also related to inverse carrying charges, crop year differences, USDA announcements, market crashes, and commodity index position rolls. Differences between corn and live cattle markets are consistent with differences in the contracts’ liquidity and commodity storability. The second essay investigates the effect of algorithmic trading activity, as measured by quoting, on the corn, soybean, and live cattle commodity futures market quality. Using the CME’s limit-order-book data and a heteroskedasticity-based identification approach, we find more intensive algorithmic quoting (AQ) is beneficial in multiple dimensions of market quality. On average, AQ improves pricing efficiency and mitigates short-term volatility, but its effects on liquidity costs are somewhat mixed. Increased AQ significantly narrows effective spreads in the corn and soybean markets, but not in the less traded live cattle futures market. The narrowing in effective spreads emerges from a reduction in adverse selection costs as more informed traders lose their market advantage. There also is evidence that liquidity provider revenues increase with heightened AQ activity in the corn futures market, albeit the effect is not statistically significant in the soybean and live cattle futures markets. The third essay investigates how export prices and sales responses to exchange rate movements are affected by the level of the stocks-to-use ratio. The analysis is performed in the corn, soybean, and wheat export markets using Threshold Vector Autoregressive (TVAR) models and monthly data for the January 1990-December 2019 period. Both importer and exporter exchange rates are considered in our analysis. Results show that the effects of both importer and exporter exchange rates on corn export prices and sales are either insignificant or have small economic value due to the relatively small export share of production. In the more export-oriented soybean and wheat markets, an increase in the value of the dollar relative to other exporters’ currencies causes an expected and significant decrease in the export price, but export sales are not significantly affected which reflects the low substitutability between the U.S. exports and competitors’ exports in terms of marketing seasons and crop classes. The effects of importer exchange rates present significant threshold effects in soybean and wheat markets as export prices and sales are more responsive in the low regime of stocks-to-use ratio. Similar threshold effects are also found in the exporter exchange rate impacts on corn export prices and sales. However, the impacts across regimes are not largely different in economic value