Case Selection Strategies Research Articles

Clear Aligner Treatment: Different Outlook between Orthodontists and General Dentists

The increasing adoption of clear aligner therapy (CA) has highlighted contrasting viewpoints between orthodontists and general dentists concerning its application and management. This study investigates these divergent perspectives, focusing on the advanced training and expertise of orthodontists, which enables them to conduct thorough evaluations of intricate dental alignments and aesthetic factors. Conversely, general dentists perceive CAs as a more user-friendly and less invasive treatment option, allowing them to offer these services in a more accessible manner. Such disparities prompt important considerations regarding treatment efficacy, patient outcomes, and the delineation of professional responsibilities within dentistry. To assess these differences, a web-based survey was conducted among 64 dental practitioners, exploring their demographics, experiences with CA, types of patients treated, and specific malocclusions addressed. The data were analyzed using SPSS software version 23. Results revealed that 57% of respondents reported incorporating CA into their practices, with a significantly higher percentage of orthodontists (P = 0.001). Orthodontists primarily treated Class I malocclusions characterized by crowding, spacing, deep bites, and open bites. The majority of CA patients were employed adults, with an equal distribution of males and females seeking treatment; notably, the prevailing source of information about CA was external media advertising. In conclusion, the study identifies significant differences in the utilization of CA between orthodontists and general dentists, particularly regarding practitioner numbers, experience levels, and case selection strategies. As clear aligner therapy continues to develop, understanding these distinctions will be crucial for optimizing patient care. Keywords: clear aligner, Orthodontists, General dentists

IABC‐TCG: Improved artificial bee colony algorithm‐based test case generation for smart contracts

AbstractWith the widespread application of smart contracts, there is a growing concern over the quality assurance of smart contracts. The data flow testing is an important technology to ensure the correctness of smart contracts. We propose an approach named IABC‐TCG (Improved Artificial Bee Colony‐Test Case Generation) to generate test cases for the data flow testing of smart contracts. With a dominance relations‐based fitness function, an improved artificial bee colony algorithm is used to generate test cases, in which the bee colony search coefficient is adaptively adjusted to improve the effectiveness and efficiency of the search. In addition, an improved test case selection and updation strategy is used to avoid unnecessary test cases. The experimental results show that IABC‐TCG achieves 100% coverage for all the test requirements on a dataset of 30 smart contracts and outperforms the baseline approaches in terms of the number of test cases and the execution time. Performing tests with the generated test cases, IABC‐TCG can find more errors with less test cost.

Judicial self-empowerment and unconstitutional constitutional amendments

Abstract In the context of global judicial aggrandizement, many courts have developed and accepted the unconstitutional constitutional amendments doctrine. However, with the exception of some case studies, there is little comparative scholarship on the causes of judicial expansion in this area. This article addresses this gap by examining the development of the power to review amendments in three constitutional systems: Colombia, India, and Malaysia. The article argues that in all three cases, one of the important elements that contributed to the consolidation of this power is the strategic behavior of courts. To understand the importance of strategy, the article suggests a rational choice theory of judicial empowerment, according to which judges estimate the costs of potential backlashes and act in certain moments and in certain ways so as to make political reaction unlikely. It further suggests three different types of strategies utilized by these courts that helped curb political backlash. First, courts engaged in timing strategies: they decided the scope of their own power when political competition was high and the likelihood of backlash was low. Second, courts engaged in outcome strategies: they expanded their own power while simultaneously giving the dominant political coalition a “win.” Third, courts employed case selection strategies: they picked mundane and low-stake cases in order to decrease the incentives for political reaction. The article concludes with some considerations on the limits of judicial strategy.

Approach based case selection strategy – Mysmartalign

A rising number of individuals are exploring alternatives to traditional orthodontic appliances as the demand for aesthetically pleasing treatments continues to grow. Over the past decade, clear aligners have emerged as a popular and attractive option for orthodontic correction, offering both effectiveness and discretion. This paper provides an indepth analysis of the Mysmartalign system, a widely adopted clear aligner technology, to highlight the critical role of accurate case selection in achieving optimal outcomes. The Mysmartalign system utilizes advanced 3D imaging and digital modeling to create custom aligners that address a range of orthodontic issues, from minor spacing and crowding to more complex alignment challenges. The paper will explore the technological innovations behind Mysmartalign, including its predictive software and personalized treatment planning. Furthermore, it will discuss common case types suitable for clear aligner treatment and the factors that influence successful results, such as patient compliance, aligner fit, and treatment duration. By emphasizing the significance of appropriate case selection and management, this article aims to provide valuable insights for orthodontists and dental professionals in optimizing clear aligner therapy with the Mysmartalign system. The discussion will also cover best practices for patient assessment and the integration of clear aligners into broader orthodontic treatment plans.

Test Case Prioritization, Selection, and Reduction Using Improved Quantum-Behaved Particle Swarm Optimization.

The emerging areas of IoT and sensor networks bring lots of software applications on a daily basis. To keep up with the ever-changing expectations of clients and the competitive market, the software must be updated. The changes may cause unintended consequences, necessitating retesting, i.e., regression testing, before being released. The efficiency and efficacy of regression testing techniques can be improved with the use of optimization approaches. This paper proposes an improved quantum-behaved particle swarm optimization approach for regression testing. The algorithm is improved by employing a fix-up mechanism to perform perturbation for the combinatorial TCP problem. Second, the dynamic contraction-expansion coefficient is used to accelerate the convergence. It is followed by an adaptive test case selection strategy to choose the modification-revealing test cases. Finally, the superfluous test cases are removed. Furthermore, the algorithm’s robustness is analyzed for fault as well as statement coverage. The empirical results reveal that the proposed algorithm performs better than the Genetic Algorithm, Bat Algorithm, Grey Wolf Optimization, Particle Swarm Optimization and its variants for prioritizing test cases. The findings show that inclusivity, test selection percentage and cost reduction percentages are higher in the case of fault coverage compared to statement coverage but at the cost of high fault detection loss (approx. 7%) at the test case reduction stage.

Explaining Military Responses to Protests in Latin American Democracies

Social protests are a feature of democracy in Latin America. When the police cannot handle them, governments, facing threats to their tenure, are tempted to order the armed forces to step in. The military, when ordered to deploy in counter-protest operations, exhibits behaviors ranging from defiance to conditional and full compliance. The article investigates the sources of variation in military responses to mass protests, leveraging a small-n comparative analysis and a diverse case selection strategy. It draws on qualitative evidence from Bolivia, Peru, and Ecuador, democracies with a history of protests. It finds that a combination of the judicial risks soldiers assume if they repress, professional mission preferences, and social identity between the military and the protesters are the most compelling explanations for military responses.

Research on Reasoning concerning Emergency Measures for Industrial Project Scheduling Control

Industry is an important pillar of the national economy, and industrial projects are the most complex and difficult to manage and control in the construction industry; thus, the resource scheduling control of industrial projects is one of the core issues for industrial construction projects. The performance rate of the contract time periods of previous industrial construction projects has been very low. In scheduling control based on case-based reasoning (CBR), the goal is to implement preventive measures by referring to existing scheduling control cases and control the scheduling of resources through reasoning on emergency measures to prevent scheduling control deviations. In this paper, the rough set approach is used to represent the case feature information in a case reasoning model for industrial project scheduling control, attribute reduction is used to determine the weights of the feature attributes in the rough set representation, and the similarity between cases is calculated for case retrieval. The accuracy of the rough-set-based similarity calculation is verified through matrix similarity calculations and a visual analysis of the all closeness centrality and weighted all degree centrality of the corresponding complex network; thus, similar cases of industrial project scheduling control are identified. To verify the applicability and effectiveness of the proposed methodology, a typical coal chemical general contract project case is carried out. The rough set comprehensive similarity results were 0.733, 0.621, 0.536, 0.614, 0.559, 0.950, 0.708, 0.546, 0.733, 0.664, 0.526, and 0.743, and the matrix similarity results were 0.417, 0.583, 0.417, 0.417, 0.417, 0.833, 0.417, 0.500, 0.417, 0.500, 0.333, and 0.500. The results showed that the case retrieval accuracy of traditional matrix similarity is not as high as the rough set comprehensive similarity, so X 6 is the most similar case to the target case Y. Case retrieval results indicate that the proposed methodology can provide a good similar case selection strategy with project managers, and the final required preventive measures for the target case can be found. Based on the identified similar cases, preventive measures for scheduling control are formulated to effectively prevent scheduling deviations of industrial projects.

What Can You Do With a Single Case? How to Think About Ethnographic Case Selection Like a Historical Sociologist

Most social scientists agree that case studies are useful for “theory building,” but ethnographic methods papers often look to survey research for case selection strategies. This is due to a common but untenable distinction between theoretical and empirical generalization, which obscures how theoretically inclined ethnographers make implicit external validity claims. I analyze several exemplary ethnographies to show that (a) the distinction between theoretically and empirically oriented ethnography revolves around competing conventions for making claims that others accept as provisionally externally valid, (b) comparative-historical sociology provides a framework for evaluating how theoretically oriented ethnographies make such claims, and (c) each approach to making validity claims is optimized by different kinds of cases. Empirically oriented ethnographies make inductive claims via “pointy” cases wherein a phenomenon is pronounced or bifurcated. Theoretically oriented ethnographers are like post–Millian historical sociologist who triangulate past studies with resolutive or negative cases to make constitutive arguments.

P1963The determinants of functional significance of coronary bifurcation lesions and its implications on clinical follow up to 48 months (insights from FIESTA registry)

Abstract Background There is no study up-to-now to determine the rate of functionally significant coronary bifurcation lesions, which have to be intervened and what are the clinical consequences of the FFR case selection strategy. Methods We analyzed patients from FIESTA registry, which was continuation of FIESTA study (Ffr vs. IcEcgSTA, ClinicalTrials.gov Identifier: NCT01724957). Patients with stable angina were included (if there were other coronary stenoses they were threated first after checking by FFR for functional significance). The inclusion criterions were angiographic bifurcation lesions in a native coronary artery with diameter ≥2.5 mm and ≤4.5 mm and SB diameter ≥2.0 mm. We excluded patients with ST-segment elevation myocardial infarction, left main, hemodynamic instability and those with non-cardiac co-morbidity conditions with a life expectancy of less than one year. PCI was performed according to the current guidelines. Provisional stenting was the default strategy in all patients. Two guidewires were inserted into both distal MB and SB. Initial FFR was performed using the PrimeWire or PrimeWire Prestige (Volcano Corp., USA). For all FFR measurements, intracoronary adenosine was given in increasing doses of 60 mcg, 120 mcg, and 240 mcg. The minimum value of FFR measurements was taken for analysis. All patients received double antiplatelet therapy with ADP-antagonist and aspirin for at least 12 months. Results A 130 consecutive patients with coronary bifurcation stenoses were included – 57 had positive FFR<.80 in main vessel of bifurcation lesion (44% functionally significant lesions). The mean age was 67±10 years, 66% males, 96% hypertensive, 39% diabetic, 96% dyslipidemic (or on treatment with statin), 55% smokers, 22% with previous myocardial infarction, 51% with previous PCI. The residual SYNTAX score before FFR bifurcation assessment was 13±4 (FFR<.80) vs. 8±3 (FFR≥0.80), p<0.001. Univariate predictors of bifurcation FFR<.80 were: proximal (MV%DS) or distal (MB%DS) main vessel stenosis ≥85% (derived from ROC analysis with overall accuracy 77% and 72%, accordingly), lesion length, SYNTAX score, triglyceride concentration, previous MI on lateral wall and carotid artery disease. On multivariate logistic analysis only MV%DS>85% (OR=8.929, CI 2.887–27.619, p<0.001), MB%DS>85% (OR=3.831, CI 1.349–10.883, p=0.012) and SYNTAX score≥12 (OR=16.466, CI 5.225–15.889, p<0.001). At median follow-up of 26 months (IQR 17–35) the all-cause mortality was 17.5% in FFR positive bifurcations vs. 4.1% in FFR negative lesions (log-rank =.067). Conclusions Less than a half of angiographically significant coronary bifurcation lesions are functionally significant and require stent implantation. The functional significance was related with higher degree stenosis in main vessel and overall disease severity estimated with SYNTAX score. A trend to lower mortality was noted in group with non-significant FFRs.

Diagnosing Bias in Modeled Soil Moisture/Runoff Coefficient Correlation Using the SMAP Level 4 Soil Moisture Product

AbstractThe physical parameterization of key processes in land surface models (LSMs) remains uncertain, and new techniques are required to evaluate LSMs accuracy over large spatial scales. Given the role of soil moisture in the partitioning of surface water fluxes (between infiltration, runoff, and evapotranspiration), surface soil moisture (SSM) estimates represent an important observational benchmark for such evaluations. Here, we apply SSM estimates from the NASA Soil Moisture Active Passive Level‐4 product (SMAP_L4) to diagnose bias in the correlation between SSM and surface runoff for multiple Noah‐Multiple Physics (Noah‐MP) LSM parameterization cases. Results demonstrate that Noah‐MP surface runoff parameterizations often underestimate the correlation between prestorm SSM and the event‐scale runoff coefficient (RC; defined as the ratio between event‐scale streamflow and precipitation volumes). This bias can be quantified against an observational benchmark calculated using streamflow observations and SMAP_L4 SSM and applied to explain a substantial fraction of the observed basin‐to‐basin (and case‐to‐case) variability in the skill of event‐scale RC estimates from Noah‐MP. Most notably, a low bias in LSM‐predicted SSM/RC correlation squanders RC information contained in prestorm SSM and reduces LSM RC estimation skill. Based on this concept, a novel case selection strategy for ungauged basins is introduced and demonstrated to successfully identify poorly performing Noah‐MP parameterization cases.

Dissemination of quality improvement innovations by multisector health care alliances

PurposeMultisector health care alliances (alliances) are increasingly viewed as playing an important role in improving the health and health care of local populations, in part by disseminating innovative practices, yet alliances face a number of challenges to disseminating these practices beyond a limited set of initial participants. The purpose of this paper is to examine how alliances attempt to disseminate innovative practices and the facilitating and inhibiting factors that alliances confront when trying to do so.Design/methodology/approachThe authors adopted multiple holistic case study design of eight alliances with a maximum variation case selection strategy to reflect a range of structural and geographic characteristics. Semi-structured interviews with staff, leaders and board members were used.FindingsThe findings show that dissemination is a multidirectional process that is closely if not inextricably intertwined with capacity- and context-related factors (of the alliance, partnering organizations and target organizations). Thus, standardized approaches to dissemination are likely the exception and not the rule, and highlight the value of existing frameworks as a starting point for conceptualizing the important aspects of dissemination, but they are incomplete in their description of the “on-the-ground” dissemination processes that occur in the context of collaborative organizational forms such as alliances.Originality/valueDespite a rapidly expanding evidence base to guide clinical and managerial decision making, this knowledge often fails to make its way into routine practice. Consequently, the search for effective strategies to reduce this gap has accelerated in the past decade. This study sheds light on those strategies and the challenges to implementing them.

Liver Procurement from Poisoned Donors: A Survival Study.

Although transplant teams understand the effects of donor characteristics on liver transplant outcomes, few studies have investigated the quality of livers obtained from poisoned donors. The aim of this study was to compare livers procured from poisoned donors with a matched control group. Liver transplant outcomes from poisoned donors and from donors with trauma-induced death (as the control group) were compared using data of an Organ Procurement Unit from 2000 to 2013. Procured livers were evaluated via histology findings before transplant. Recipient characteristics were assessed in both groups, and immediate and medium-term (up to 5 years after transplant) survival rates were compared with the use of Kaplan-Meier analyses and log-rank tests. Over a 13-year organ donation program, 1485 livers from brain dead patients were donated. Among them, 115 poisoned donors were evaluated for liver grafts; of these, 74 successful liver transplants were performed. In the poisoned donors, the incidence of reversed cardiac arrest was 54.1%. Likewise, acute kidney injury was detected in 14.9% of the patients, and 16.2% needed urgent dialysis either for clearance of the toxic agents or for treatment of acute kidney injury. No significant differences were observed in 1- to 5-year survival rates, and log-rank test also showed a significance level of 0.83. Proper case selection strategies can be implemented to expand the donor pool, including use of poisoned donors. Hence, poisoning is not a contra-indication for a referral, which could lead to decreased mortality for patients requiring a liver transplant.

Spatial Tools for Case Selection: Using LISA Statistics to Design Mixed-Methods Research

AbstractMixed-methods designs, especially those in which case selection is regression-based, have become popular across the social sciences. In this paper, we highlight why tools from spatial analysis—which have largely been overlooked in the mixed-methods literature—can be used for case selection and be particularly fruitful for theory development. We discuss two tools for integrating quantitative and qualitative analysis: (1) spatial autocorrelation in the outcome of interest; and (2) spatial autocorrelation in the residuals of a regression model. The case selection strategies presented here enable scholars to systematically use geography to learn more about their data and select cases that help identify scope conditions, evaluate the appropriate unit or level of analysis, examine causal mechanisms, and uncover previously omitted variables.

Internationally Comparative Research Designs in the Social Sciences: Fundamental Issues, Case Selection Logics, and Research Limitations

This paper synthesizes methodological knowledge derived from comparative survey research and comparative politics and aims to enable researches to make prudent research decisions. Starting from the data structure that can occur in international comparisons at different levels, it suggests basic definitions for cases and contexts, i. e. the main ingredients of international comparison. The paper then goes on to discuss the full variety of case selection strategies in order to highlight their relative advantages and disadvantages. Finally, it presents the limitations of internationally comparative social science research. Overall, the paper suggests that comparative research designs must be crafted cautiously, with careful regard to a variety of issues, and emphasizes the idea that there can be no one-fits-all solution.

A Comparison of the Interplay of Public and Occupational Work‒Family Policies in Austria, Denmark, Italy and the United Kingdom

ABSTRACT This article analyses the interplay of public and occupational work‒family policies in institutionally different countries (Austria, Denmark, Italy and United Kingdom). Most of the existing studies do not analyse public and occupational family policy in conjunction, although this is necessary for a comprehensive understanding of family policy, and therefore the article adds knowledge on work‒family policy and the interplay of public and occupational based approaches. Based on a diverse case selection strategy and using comparative information from European statistics, surveys and reports, the crowding-out hypothesis is excluded, but no one consistent relationship is found for all countries. Instead, the article adds to existing knowledge that the country-specific public‒private mix depends on the institutional context (e.g. public family policy) and industrial relations.

Review: Diagnosing Common Variable Immunodeficiency Disorder in the Era of Genome Sequencing

Common variable immunodeficiency disorders (CVID) are an enigmatic group of often heritable conditions, which may manifest for the first time in early childhood or as late as the eighth decade of life. In the last 5years, next generation sequencing (NGS) has revolutionised identification of genetic disorders. However, despite the best efforts of researchers around the globe, CVID conditions have been slow to yield their molecular secrets. We have previously described the many clinical advantages of identifying the genetic basis of primary immunodeficiency disorders (PIDs). In a minority of CVID patients, monogenic defects have now been identified. If a causative mutation is identified, these conditions are reclassified as CVID-like disorders. Here we discuss recent advances in the genetics of CVID and discuss how NGS can be optimally deployed to identify the causal mutations responsible for the protean clinical manifestations of these conditions. Diagnostic criteria such as the Ameratunga et al. criteria will continue to play an important role in patient management as well as case selection and sequencing strategy design until the genetic conundrum of CVID is solved.

Success or failure? Presenting a case selection strategy for studies of school improvement

ABSTRACTIn this article we propose a case selection strategy for comparative studies of school improvement. The strategy is based on two assumptions. First, we emphasize the importance of a strategic selection of cases (schools), which allows systematic comparisons between successful and failing schools. We claim that cases should be selected on the dependent variable, and, more specifically, on the variation in the dependent variable (i.e. school success or no school success). Second, we recognize the importance of a longitudinal perspective in the case selection process. We argue that quantitative longitudinal data should be used to identify consistently succeeding and consistently failing schools. Furthermore, we demonstrate the fruitfulness of the strategy by using it in a case selection process of successful and failing schools in Sweden. In sum, the strategy addresses the demand for research designs, which allow causal inference, in school improvement and school effectiveness studies. Systematic comparisons between successful and failing schools are essential to elaborate our insights of the mechanisms behind school success.

The Comparative Method in Practice: Case Selection and the Social Science of Revolution

Formalization of comparative case methodology has given the appearance of growing consensus and cross-disciplinary acceptance around a set of best practices. Yet how researchers use a method may differ widely from what methodologists believe, which is the crux of institutionalization of a method. This study examines whether comparative methodology has, in fact, institutionalized within the social sciences using evidence from the entire corpus of comparative studies of revolution published from 1970 to 2009. Content analysis of methods of case selection within the revolution subfield reveals a wide diversity of strategies with only modest methodological awareness by practitioners, a lack of consensus among which case selection strategies to use, and little convergence over time. Thus, the comparative method has not yet institutionalized in its practice. Methodological practice has implications for the coverage of cases of revolution and what is substantively known about the phenomenon.

Metamorphic testing as a test case selection strategy

软件测试通过运行测试用例, 观察被测软件的输出结果是否符合预期结果来发现潜藏的故障。 然而, 判定测试输出是否正确往往会成为软件测试面临的一个挑战(称为测试预期问题)。 蜕变测试通过建立被测软件输入变量域和输出结果域的关系(称为蜕变关系), 以蜕变关系判定测试执行的正确性。 蜕变测试不仅具有良好的故障检测能力, 也是一种测试用例选择方法。 本文侧重报告蜕变测试作为一种测试用例选择策略的几个成功案例。

Using Case Research to Reconstruct Concepts

Concepts are regarded as the building blocks of theory, yet there is little debate about the evolution and application of the concepts that we use in management. As measurement concerns overtake conceptualization, concepts are treated as empirical facts rather than theoretical constructions. They may be stretched to increase their empirical coverage, without considering the theoretical implications. We provide an alternative pathway for the career of a concept, based on a pragmatist–interactionist paradigm. Our alternative, concept reconstruction, involves evaluating the state of an existing concept by reviewing its usage in existing research. The results of this review are used to guide the appropriate case selection strategy for subsequent fieldwork. Evidence from fieldwork is then used to reconstruct the concept. As an illustration of our methodology, we analyze a popular concept in international management and entrepreneurship: the “born global” firm or “international new venture.” We investigate the stretching of this concept by conducting a review of its usage in the scholarly literature, and by using the results of a “most-likely” case study to provide a way forward for reconstructing this concept.