Reallocation Of Resources Research Articles

STRENGTHENING ZAKAH COMPLIANCE AMONG INDONESIAN MUSLIMS THROUGH THE ROLE OF INSTITUTIONAL CAPABILITIES

This study examines the mediating role of institutional capabilities in the complex interplay between zakah regulation, leadership, and entrepreneurial competencies, aiming to understand their collective impact on the augmentation of zakah compliance. To this end, a questionnaire was distributed to 833 Indonesian Muslims who actively contribute zakat to official institutions, and the data are analyzed using partial least squares structural equation modeling. The findings underscore the pivotal role of institutional capabilities as a mediator between zakah regulation, leadership, and entrepreneurial competencies, with entrepreneurial skills exerting the most notable influence on zakah compliance. Further, perceived taqwa emerges as a robust influencer of compliance, while zakah regulation demonstrates a dual impact on both compliance and institutional capabilities. Additionally, the study advocates for prioritizing the development of entrepreneurial competencies within zakah institutions, aligning regulations with institutional growth, and nurturing perceived taqwa to fortify zakah compliance on a global scale. Departing from conventional approaches, this study adopts an innovative method by evaluating the efficacy of zakat institutions through institutional capabilities, particularly focusing on entrepreneurial competencies. The introduction of institutional capabilities as a mediating factor signifies a departure from the traditional framework, providing a novel perspective on the evaluation of resource reallocation and strategic direction.

Optimal resource reallocation can achieve water conservation, emissions reduction, and improve irrigated agricultural systems

CONTEXTCrop production consumes large volumes of fresh water and is a key contributor to anthropogenic greenhouse gas (GHG) emissions. Increasing crop output to ensure adequate food supplies under water and land scarcity relies excessively on intensive agricultural inputs (e.g., fertilizers, pesticides, and agricultural films), leading to irreparable environmental consequences (water scarcity and degradation and GHG emissions). Therefore, research on a nexus approach and resource optimization model were carried out. OBJECTIVETo fill the gap of objectives priority and optimal allocation of water resources at irrigation area scale, this study constructed a model to achieve optimal water conservation, GHG emissions reduction, and economic benefit improvement, covering the cumulative environmental burden of agricultural inputs, production processes, trade and consumption related to agricultural activities. METHODSBased on a resource-environmental-economic framework, we took the blue water footprint (WFblue) as a decision variable and developed an integrated water resource optimization model, which was solved by the non-dominated Sorting Genetic Algorithm-II in Matlab. Minimizing crop water footprint (WFcrop), minimizing crop carbon emissions (CEcrop) and maximizing crop economic benefits (EBcrop) were the objectives of the model, and blue water resource, food security, electric energy consumption and land security were the constraint conditions. In addition, three scenarios were tested based on the priority of the objective functions. RESULTS AND CONCLUSIONSAnnually, WFcrop was 1234.29 × 106 m3 and CEcrop was 522.45 Gg CO2 eq for food production in Lianshui Irrigation District from 2005 to 2019. Grain crops exhibited a greater WFcrop and contributed significantly more to CEcrop than oilseed crops. Virtual water and carbon flows increased with food transfer. By adjusting the WFblue of crops compared to the baseline scenario (BS), the average WFcrop decreased by 10.0 %, CEcrop decreased by 4.0 %, and EBcrop increased by 6.4 % under Scenario 2 (minimizing WFcrop and maximizing EBcrop), respectively. Similarly, there were average reductions of 9.2 % in WFcrop, 6.2 % in CEcrop, and EBcrop increased by 5.6 % under Scenario 3 (minimizing CEcrop and maximizing EBcrop) compared to the BS. Therefore, the integrated model achieved the optimization objectives. SIGNIFICANCEThis research not only broadens the scope of traditional environmental impact assessments in agricultural production, but also underscores the positive impact of scientifically and rationally redistributing resources for water conservation, GHG emissions reduction, and economic benefit improvement.

Pandemic lessons on essential healthcare services for the urban poor: a qualitative perspective of users and providers in Bangladesh

ObjectiveThe COVID-19 pandemic imposed unprecedented challenges to health systems globally. This study explored slum dwellers’ experience of receiving essential health services during the pandemic and the challenges faced by healthcare...

Multi-disciplinary mass burn casualty simulation exercise

Disaster simulation exercises are important to test service processes, capabilities, and deficiencies; disaster response planning should encompass the entire multidisciplinary team over an extended period. Our service simulated a modest eight burn casualty scenario to test our service capabilities over a 10-week period across medical, nursing, and allied health professions. Requirements due to the mass burns casualty cohort were predicted in terms of theatre requirements, allied health treatment hours required, and nursing hours requirements. Prospective business-as-usual service provision data were also collected over the 10-week study period with respect to theatre utilisation, allied health workload, nursing hours, and burns ward bed census. These data were then superimposed on predicted mass burn casualty requirements to gauge total workload demands over the study period. Results showed an expected significant initial spike in theatre requirements in the first week post mass casualty, with ongoing deficiencies in theatre allocation occurring throughout the 10-week study period. Allied health staff were working at or near capacity in a business-as-usual setting with major spikes in workload demand occurring due to the mass burn casualty cohort. Total workload demands clearly exceeded current staff capacity for most of the allied health professions over the 10-week period. Bed census exceeded funded nursing bed capacity for all but seven days of the study period. Predicted combined nursing hours exceeded funded capacity for all but two days. This simulation clearly demonstrated the high and immediate increase in workload demands across all professions over a prolonged 10-week period and that high business-as-usual demand can greatly affect staff capacity to cope with a mass casualty surge in admissions. It was able to provide evidence, and awareness, for leadership and management on the need for resources and resource re-allocation in a mass burn casualty scenario. It also informed a review of our current triggers for activating our SA Health Multiple Burns Plan.

Listen to your heart: Trade-off between cardiac interoceptive processing and visual exteroceptive processing

Internal bodily signals, such as heartbeats, can influence conscious perception of external sensory information. Spontaneous shifts of attention between interoception and exteroception have been proposed as the underlying mechanism, but direct evidence is lacking. Here, we used steady-state visual evoked potential (SSVEP) frequency tagging to independently measure the neural processing of visual stimuli that were concurrently presented but varied in heartbeat coupling in healthy participants. Although heartbeat coupling was irrelevant to participants’ task of detecting brief color changes, we found decreased SSVEPs for systole-coupled stimuli and increased SSVEPs for diastole-coupled stimuli, compared to non-coupled stimuli. These results suggest that attentional and representational resources allocated to visual stimuli vary according to fluctuations in cardiac-related signals across the cardiac cycle, reflecting spontaneous and immediate competition between cardiac-related signals and visual events. Furthermore, frequent coupling of visual stimuli with stronger cardiac-related signals not only led to a larger heartbeat evoked potential (HEP) but also resulted in a smaller color change evoked N2 component, with the increase in HEP amplitude associated with a decrease in N2 amplitude. These findings indicate an overall or longer-term increase in brain resources allocated to the internal domain at the expense of reduced resources available for the external domain. Our study highlights the dynamic reallocation of limited processing resources across the internal-external axis and supports the trade-off between interoception and exteroception.

Impacts of polyhydroxybutyrate (PHB) microplastic exposure on physiology and metabolic profiles of Litopenaeus vannamei

In light of increasing concerns about microplastic pollution, it is crucial to understand the biological impacts of biodegradable PHB microplastics on marine organisms. This study included a 96-h exposure experiment to assess acute toxicity at PHB concentrations of 0 mg/L, 100 mg/L, 500 mg/L and 1000 mg/L. Additionally, a 60-day feeding trial was conducted with PHB concentrations of 0, 0.5, 1.0 and 2.0 g/kg to evaluate the long-term effects on growth, physiological health and metabolic responses of Litopenaeus vannamei. Results from the exposure experiment indicated that PHB microplastics up to 100 mg/L were non-toxic to shrimp. However, the 60-day feeding trial revealed that higher concentrations led to slight reductions in survival rates and growth performance, indicating a concentration-dependent response. Analysis of antioxidant and immune enzymes showed minimal changes across most parameters. However, increases in malondialdehyde content and lysozyme activity at higher PHB levels suggested a stress response. Microbial analysis indicated higher species richness and greater community diversity in the PHB group compared to controls, as evidenced by Chao1, ACE, Shannon and Simpson indices. Linear discriminant analysis revealed that Enterobacteriales and related taxa were more prevalent in the PHB group, while Rhodobacteraceae and associated taxa dominated the control group. Pathway analysis highlighted enhanced signal transduction, cell mobility and metabolic resource reallocation in response to PHB-induced stress. Integrated transcriptomic and metabolomic analyses revealed significant regulatory changes, especially in lipid metabolism pathways. These findings suggest that while PHB microplastics trigger adaptive metabolic responses in shrimp, they do not cause acute toxicity. Significant variations in intestinal microbiome composition reflect potential shifts in gut health dynamics due to PHB ingestion. This study enhances our understanding of the ecological impacts of microplastics and underscores the necessity for further research into the environmental safety of biodegradable alternatives.

Resource reallocation across successive systemic innovations: How Rolls‐Royce shaped the evolution of the turbojet, turboprop, and turbofan

AbstractResearch SummaryDespite the importance of resource reallocation in shaping a variety of strategic outcomes, strategy scholars have paid only limited attention to the processes by which firms reallocate their resources across successive systemic innovations. To explore these processes, we conducted an in‐depth historical case study on Rolls‐Royce's role in three distinct systemic innovations that marked the transition from piston engines to jet engines in the civil aviation industry: the turbojet, the turboprop, and the turbofan. The analysis helps explain how and why Rolls‐Royce's central role stemmed from its ability to reallocate existing non‐scale free organizational and technical resources. A key finding of this study is the identification of the horizontal transfer of functional modules as a critical process, especially during the incipient phase of a systemic innovation. The analysis also highlights the role that specific organizational arrangements, particularly a firm's integrative capabilities, have in shaping the effectiveness with which resources are reallocated.Managerial SummaryFocusing on resource reallocation is important to understand why some firms effectively reallocate their resources through successive systemic innovations while others cannot, even if they have similar resources and face the same environmental conditions. By delving into the technological aspects of aeroengine development and exploring why Rolls‐Royce had the capabilities to successfully integrate key functional modules across various modular levels, we clarify the relationship between technology and organization that underlies resource reallocation—a topic that has received only scant attention in the strategy literature.

Aberrance in default mode and executive network activity underlie working memory deficits in addictive disorders: A preliminary, exploratory case-control study

BackgroundAddiction can alter neural processes during rest and cognitive performance. Subjects with addictive disorders exhibit preoccupation and anticipation for the psychoactive substance when idle and cognitive deficits, during tasks. Methods128 channel EEG was recorded in sixty subjects (30, with alcohol, opioid and internet addiction; 30 controls) during rest and while performing working memory task to ascertain underlying differences in cortical activity between the groups while at rest and during performance of the task. Artifactually clean data was then subjected to source analysis using sLORETA software in both the groups. ResultsEEG cortical source analysis in subjects with addictive disorders showed significant activation of areas of Default Mode Network (DMN) and reduced activation in dorsolateral prefrontal cortices (DLPFC), an area known to be involved in executive function, during performance of task. However, control subjects demonstrated significantly reduced activation in areas of DMN; and increased activation of DLPFC during task performance. ConclusionInability to suppress DMN inhibits reallocation of neural resources to areas of executive functioning leading to working memory deficits in subjects with addictive disorder.

Transitioning to a green economy in China: The environmental and economic impacts of green credit.

Economic green transition is the change of economic development mode under environmental constraints; this process will generate huge demand for credit financing. Understanding the connection between credit allocation and environmental performance is crucial for the coordinated development of the economy and environment. Utilizing the Chinese Industrial Enterprises Database, I constructed a city-level green credit index and compiled panel data from 2006 to 2013 for 282 selected cities in China. A spatial model was employed to explore the influence of green credit on the economic green transition. The findings reveal a positive relationship between green credit and economic green transition during the study period. Green credit not only enhances local green total factor productivity but also exerts beneficial impacts on adjacent areas though demonstration effects. Additionally, the reallocation of credit resources and the innovation of clean technologies are identified as key mechanisms through which green credit fosters a greener economy. However, the study also finds that the impact of green credit is moderated by factors such as a high reliance on natural resources, the underdevelopment of market intermediaries, and excessive governmental intervention, which can undermine its effectiveness. Furthermore, the efficacy of green credit exhibits regional heterogeneity; it has a significant positive impact in the eastern regions of China, while its influence appears to be non-significantly positive in the central and western regions. This study enriches the research on the macroeconomic impacts of green credit, offering practical evidence and theoretical support for the implementation of green credit policies by local governments in China.

China's Low-carbon city policy and manufacturing firms' servitization: Do environmental regulations matterʔ

Manufacturing servitization is an effective way to improve both environmental performance and economic benefits in developing countries. In this paper, we first propose the firm-level manufacturing servitization (FMS) measurement method. Then, based on Chinese firm-level data for 2000–2015, we take low-carbon city pilot (LCCP) policy implementation as a quasi-natural experiment to investigate the effect of low-carbon city governance on FMS. The propensity score matching-difference-in-differences (PSM-DID) model results indicate that the construction of LCCP policy could significantly improve FMS. In addition, we explain the promoting effect of low-carbon city governance on FMS by enhancing innovation intensity and promoting pollution factor substitution. Specifically, low-carbon city governance increases the innovation intensity of enterprises and promotes service factors as substitutes for other pollution production factors, changing the service factor input structure. Furthermore, by dynamically decomposing aggregate FMS growth, we found that LCCP policy generates a positive within-firm effect for surviving enterprises. However, the role of the resource reallocation effect has not been fully explored. Based on the findings, this study offers more theoretical backing and empirical substantiation for developing countries' pursuit of simultaneously achieving sustainability and economic growth under environmental regulations.

Availability of essential medicines during the COVID-19 pandemic: A qualitative study examining experiences and level of preparedness in Kenya.

This study examines the impact of the COVID-19 pandemic on the availability of essential medicines in Kenya and suggests actionable measures to enhance the country's preparedness for future pandemics. Utilising a cross-sectional qualitative design, the research combines a systematic review of the literature and 20 key informant interviews to provide a comprehensive analysis. The initial response to the pandemic involved resource reallocation, disrupting the procurement of essential medicines at national and county levels. Inefficiencies in these systems resulted in shortages and wastages of crucial medicines, exposing vulnerabilities in the health system. Furthermore, the study reveals regulatory policy weaknesses in Kenya, such as an inadequate legal framework for domestic pharmaceutical manufacturing and conflicting policies hindering medicine availability. The study recommends a multifaceted policy approach to ensure essential medicine availability during crises. Key recommendations include strengthening financial systems through increased government investments and innovative funding mechanisms, implementing price regulation policies, and enhancing the resilience of supply chain and procurement systems. Collaboration among various supply systems is essential to prevent stock-outs. Strengthening legislation and regulatory policies, increasing domestic pharmaceutical manufacturing capacity, and investing in health information systems are vital for sustained self-sufficiency and efficient service delivery. These comprehensive measures are essential to promote essential medicine availability, safeguard public health, and enhance resilience during crises.

Enhanced resource optimization with the unevenness coefficients use in regular and irregular graph-based networks

The paper presents a simulation-based study of the impact of transmission resource reallocation on the performance of a communication network. The study considers the unevenness coefficients use to control network resources allocation. The results show that adjusting the transmission resource allocation based on the above-mentioned parameter can significantly improve network performance, leading to a equalization of network characteristics, and all of this without increasing the resources pool. The study’s findings provide valuable insights for network designers and operators seeking to optimize network performance in communication systems.

The inefficiency of courts of justice: industry structure, capacity and misallocation

In this paper, we introduce an optimization model to quantify the trade-off between resource capacity utilization and disposition time for the caseload of courts of justice. The optimization model takes into account the impact of an increase in demand that may arise when disposition time is reduced. We employ the model to measure the impact of various policy reform scenarios on the length of trials, both at the court and system level. We do so by taking into account the potential reallocation of resources, using the population of Italian courts of justice over the 2005–2012 period. Our results show that if all policy scenarios we discuss were to be implemented, the average length of trials for civil cases would be more than halved, from the current 15.5 months to about 7 months. Implementing best practices, the single most effective policy would be equivalent to a 25% increase in the number of judges (which would otherwise cost around 100 million euros per year).

Trade policy uncertainty and capacity utilisation rate: Firm‐level evidence from China's WTO accession

AbstractThis paper was one of the first to explore the impact of trade policy uncertainty (TPU) reduction on Chinese firm capacity utilisation rate from the perspective of trade policy variation. Based on a quasi‐natural experiment of the implementation of Permanent Normal Trade Relation (PNTR) after China's WTO accession, this paper adopts the difference‐in‐difference (DID) method to conduct empirical analysis, and finds that reduction in TPU significantly raises firm capacity utilisation rate. The mechanism tests show that export expansion is an important channel through which reduction in TPU raises firm capacity utilisation rate, especially for firms exporting to the United States; reduction in TPU also raises firm capacity utilisation rate through the improvement of production efficiency; in addition, reduction in TPU raises firm capacity utilisation rate along the downstream linkages, whereas the effect of the upstream linkages is insignificant. Finally, this paper takes a step further to conduct empirical analysis at industry level, the results show that reduction in TPU also significantly raises manufacturing aggregate capacity utilisation rate, and the improvement of resource reallocation efficiency (especially the exit of the firms with backward production capacity) plays an important role. Our study was helpful to understand the driving forces of the changes in Chinese manufacturing capacity utilisation rate in recent years, and it also provides new ideas for solving over‐capacity.

Payment schemes for resource reallocation in hierarchical medical system: Fee-for-capacity versus performance payment

This study explores resource reallocation, or capacity sinking, in a hierarchical medical system that includes a healthcare funder, a comprehensive hospital, a community hospital, and patients with varying perceptions of different hospital levels. To help the funder better coordinate the process and induce a comprehensive hospital to willingly sink its high-quality medical resources to a community hospital, we design and evaluate two payment schemes: Fee-For-Capacity (FFC) scheme and Performance Payment (PP) scheme. In the FFC scheme, the funder pays a unit capacity sinking price to the comprehensive hospital. In the PP scheme, the sinking price is paid only if the community hospital increases the rate of patient visits. By considering different parties’ decision-making behaviors, we develop a sequential game model within a queuing framework to determine equilibrium results in terms of the patient arrival rate at each hospital, the community hospital’s capacity planning, the comprehensive hospital’s capacity sinking rate, and the funder’s capacity sinking price. Our study indicates that the FFC scheme outperforms the PP scheme in terms of social welfare, patient utility, and waiting time when the budget is low or the funder’s concern about patient utility is relatively high or low. However, both schemes are suboptimal when the budget and the funder’s concern degree are medium. We find that a hybrid payment scheme can alleviate the drawbacks of FFC and PP and help achieve system optimum.

Technological Progress and Rent Seeking

Abstract We model firms’ allocation of resources across surplus-creating (ie, productive) and surplus-appropriating (ie, rent-seeking) activities. Our model predicts that industry-wide technological advancements, such as recent progress in data collection and processing, induce a disproportionate and socially inefficient reallocation of resources toward surplus-appropriating activities. As technology improves, firms rely more on appropriation to obtain their profits, thereby endogenously reducing the impact of technological progress on economic progress and inflating the price of the resources used for both types of activities. Our theoretical insights shed light on the rise of high-frequency trading.

INDUSTRIAL PRODUCTIVITY ESTIMATION AND MAPPING (A CASE STUDY OF IRAN’S ECONOMY)

Recent empirical evidence underscores the vital role of industrial development in fostering structural change and promoting a country's long-run development objectives. Devising sound industrial policy institutions emerges as a key policy option to promote the reallocation of human, physical and financial resources to high value added sectors of the economy (Mbate, 2016). The total factor productivity (TFP) and partial factor productivity (PFP) are the prominent indices for the analysis of industrial development in countries or regions. This study addresses industrial productivity by using these indices. Furthermore, after these indices were estimated, the studied provinces were classified as high-productivity, medium-productivity, low-productivity, and poor-productivity groups through hierarchical clustering. The dispersion rates of all the TFP and PFPs were then shown on a geographical map of Iran. Before the productivity indices are estimated, theoretical and empirical foundations are first reviewed in the following section.

Restricted health service utilization and subsequent positive self-care behavior during the early COVID-19 pandemic in China.

The reallocation of health resources, epidemic prevention and control measures during the COVID-19 pandemic triggered widespread restricted health service utilization, some residents and patients tried positive self-care behavior to maintain their health, yet the efficacy of this intervention remains unclear. Based on the reasoned action approach (RAA) theory, this study aimed to investigate the correlation between self-care behavior and restricted health service utilization among adults in China, trying to discover the vulnerable groups and external and intrinsic factors that affect self-care behavior among Chinese adults. Data on demographics, socioeconomic, health status, and self-care behavior were collected in "The Early China COVID-19 Survey," a cross-sectional anonymous online survey of the general population in China. Self-care behavior was measured by four indicators: weight control (WC), physical activity (PA), prevention behavior (PB), and online medical consultation (OMC). The multiple linear models and binary logistic regression were used to examine whether restricted health service utilization (RHSU) is associated with self-care behaviors; also, adjusted multivariate logistic regression was used to analyze subgroup heterogeneity. In total, 8,428 adult participants completed the survey, the mean OMC score was 1.51 (SD 1.34), the mean PB score was 18.17 (SD 3.44), and the proportion of participants who engaged in WC and PA was 42.30 and 62.57%, respectively. According to the multiple regression model, the RHSU was significantly positively correlated with all four indicators of self-care (WC: OR = 1.34, p < 0.001, PA: OR = 1.34, p < 0.05, MC: OR = 1.30, p < 0.001, PB: coef = 0.16, p < 0.05). We also observed some significant differences in the intensity of this relationship by subgroup analysis, precisely, OMC (high vs. moderate vs. low infection-risk level: OR = 1.48; 1.41; 1.19, p < 0.1), PA (male vs. female: OR = 1.27;1.06; p < 0.05, high vs. Moderate and low infection-risk level: OR = 1.51; 1.17; 1.02, p < 0.05), PB (Chronic disease groups vs. no: coef = 0.46; 0.1, p < 0.05). Restricted health service utilization predicts more positive self-care behavior, and the intensity of partial correlation was significantly different in the subgroups of sex, actual infection risk level of the living area, and chronic diseases. These findings highlight the urgent demand for self-care behavior among Chinese adults during the pandemic and provide new insights for developing self-care and reducing the burden on the healthcare system in the long term.

Evaluating the impact of school resources, cultivation index and nationality on school’ academic success: evidence from the Israeli high schools

ABSTRACT A better understanding of the determinants of school performance and how it can be improved is needed for the development of human capital. Offering a novel integrative indicator for measuring school academic success, this article analyzes empirically the impact of cultivation index, school resources, and students’ nationality on school academic performance. The main findings suggest that the higher the school’s cultivation index (i.e. school is ‘weaker’ from socioeconomic, peripheral and immigration perspectives) the lower its success indicator. These findings highlight the strategic role of policymakers in reallocation of resources in the public education system.

Modeling Enterprise Software with UAF

AbstractSystems and Software Engineers often have an uneasy relationship. The job of the systems engineer is to work with the stakeholders to define a set of requirements that meet their needs. These are then allocated to various solution spaces such as electronic hardware, mechanical, procedural, and software among others. For many systems, the functional requirements are almost exclusively software requirements. Correspondingly, as an increasing amount of project manpower, schedule time, and budget are allocated to software, it becomes increasingly important that systems and software engineers communicate effectively. The Systems Modeling Language (SysML) has helped in this regard in that it can provide executable behavioral models with precise semantics to express software requirements in a model. These models define “What is required” without overly constraining the implementation. In addition, SysML can be used to define performance constraints, required concurrency, hardware memory and processor budgets, interfaces, safety critical requirements, etc. These aspects are essential for software engineers to understand the constraints and limitations of their environment. At the System of Systems (SoS)/Enterprise level, defining software/systems employs a similar pattern, but at a higher level of abstraction. In the Unified Architecture Framework, capabilities are defined for the enterprise, with systems and software allocated to realize the capabilities. In the same way that capabilities depend on one another, the implementing systems and software interact to support each other. In the past, enterprise software would be modeled as residing in mainframes in a federated software pattern. Modern software can be modeled throughout the enterprise in a distributed network that can adapt to the changing needs of the enterprise to do load leveling, dynamic and late binding, reconfiguration, and reallocation of hardware resources as necessary. If the domain includes the Industrial Internet of Things (IIOT), then deployment could include edge devices, embedded software, Programmable Logic Controllers (PLC), PCs, servers, cloud computing, and of course mainframes. The Object management Group (OMG) Data Distribution Services (DDS) standard enables these capabilities across these devices in a universal format implemented by multiple vendors. However, before this complex system of systems can be implemented, it must first be architected and designed to ensure that it will be fit for purpose both now and as the complex system of systems expands and evolves. This paper will examine the aspects of modeling software in the UAF, and how it can help guide enterprise and system and software architecture.