Double Projection Research Articles

Assessing the need for coronary angiography in high-risk non-ST-elevation acute coronary syndrome patients using artificial intelligence and computed tomography.

This study aimed to evaluate the efficacy of the Chat Generative Pre-trained Transformer (ChatGPT) in guiding the need for invasive coronary angiography (ICA) in high-risk non-ST-elevation (NSTE) acute coronary syndrome (ACS) patients based on both standard clinical data and coronary computed tomography angiography (CCTA) findings. This investigation is a sub-study of a larger prospective multicentric double blinded project where high-risk NSTE-ACS patients underwent CCTA prior to ICA to compare coronary lesion by both modalities. ChatGPT analyzed clinical vignettes containing patient data, electrocardiograms, troponin levels, and CCTA results to determine the necessity of ICA. The AI's recommendations were then compared to actual ICA findings to assess its decision-making accuracy. In total, 86 patients (age: 62 ± 13 years old, female 27%) were included. ChatGPT recommended against ICA for 19 patients, 16 of whom indeed had no significant findings. For 67 patients, ChatGPT advised proceeding with ICA, and a significant lesion was confirmed in 58 of them. Consequently, ChatGPT's overall accuracy stood at 86%, with a sensitivity of 95% (95% confidence interval (CI) 0.76-0.92) and a specificity of 64% (95% CI 0.62-0.94). The model's negative predictive value was 84% (95% CI 0.44-0.79), and its positive predictive value was 87% 95% CI 0.86-0.97). Preliminary evidence suggests that ChatGPT can effectively assist in making ICA decisions for high-risk NSTE-ACS patients, potentially reducing unnecessary procedures. However, the study underscores the importance of data accuracy and calls for larger, more diverse investigations to refine artificial intelligence's role in clinical decision-making.

Critical Policy Analysis of the Second Round of the Double First-Class Project in China

Purpose This critical policy analysis aims to comprehensively examine the second round of China's first-class discipline development project, commonly known as the “Double First-Class Project” (DFC Project or Shuang Yi Liu Project). Design/Approach/Methods We conducted desk research between May 2022 and December 2023 using relevant policy documents, academic literature, news sources, and commentaries that specifically focused on the second round of the DFC Project in China. Employing a critical policy analysis approach, we analyzed the gathered data from three key perspectives: policy as text, policy as discourse, and policy effects (including both first- and second-order effects). Findings The second round of the DFC Project was implemented within the context of strengthened state regulation, prevalent managerialism, and an emphasis on promoting education equality in China's higher education development. A notable shift in structural dynamics occurred between the first and second round. These include the possibility of universities being added to or removed from the official list, increased academic autonomy for selected universities, and the promotion of interdisciplinary research within specific institutions. The implementation of the second round of the DFC Project reflects China's commitment to developing an internationalization strategy with Chinese characteristics. This strategy aims to align with China's national strategic needs and position the country as a cooperative partner, promoter, competitor, and potential leader in global scholarship. Originality/Value By employing a critical policy analysis approach, this study offers a comprehensive examination of the second round of the DFC project in China, contributing to existing knowledge on the development of world-class university policies in the country.

Fast Fusion Clustering via Double Random Projection.

In unsupervised learning, clustering is a common starting point for data processing. The convex or concave fusion clustering method is a novel approach that is more stable and accurate than traditional methods such as k-means and hierarchical clustering. However, the optimization algorithm used with this method can be slowed down significantly by the complexity of the fusion penalty, which increases the computational burden. This paper introduces a random projection ADMM algorithm based on the Bernoulli distribution and develops a double random projection ADMM method for high-dimensional fusion clustering. These new approaches significantly outperform the classical ADMM algorithm due to their ability to significantly increase computational speed by reducing complexity and improving clustering accuracy by using multiple random projections under a new evaluation criterion. We also demonstrate the convergence of our new algorithm and test its performance on both simulated and real data examples.

The Optimal Span Length of the Overhead Catenary System for the Gemas-Johor Bahru Electrified Double Track Project

The span term in the Overhead Catenary System (OCS) refers to the distance between two subsequent supports in the running track direction. Longer spans are preferable for economic reasons because they reduce the number of supporting structures. The maximum span along the track was suggested by OCS designers using a structure spacing table and chart with varying wind speeds and radius of curvature. The structure spacing chart is a logarithmic curve that is plotted based on the specifications of the project and design constraints. According to the current design, the maximum span length for the Gemas-Johor Bahru Electrified Double Track Project is 72 metres (GJBEDTP). The current OCS design can be upgraded to provide a greater maximum span. This study looked at the economic benefits of increasing the maximum span length of the GJBEDTP in terms of reducing the total number of supporting structures. The track is separated into many equal-length track sections, and their individual spans are selected using the wind study assessment report and the structure spacing chart. Divide the total track length by the average span to get the estimated total number of supporting structures. In this study, a graph showing the percentage of cost savings and the maximum allowable span is plotted. In this optimization issue, the Elbow approach is used to select a point where diminishing returns are no longer worth the extra expense of going for a longer span. According to the results, the maximum span of 72 m is the ideal span for the GJBEDTP.

Tseng’s extragradient method with double projection for solving pseudomonotone variational inequality problems in Hilbert spaces

Tseng’s extragradient method with double projection for solving pseudomonotone variational inequality problems in Hilbert spaces

Multiaxial failure behavior and fatigue life prediction of unidirectional composite laminates

Complex coupling mechanisms exist between longitudinal and shear stress on the multiaxial fatigue behavior of composites. A thorough reanalysis of matrix shear failure mechanism under multiaxial fatigue loading is presented. Longitudinal single splitting fracture were analyzed and validated as an independent failure mode under multiaxial loading by analogy to the failure mechanism of natural composites. A new multiaxial fatigue life prediction model was established by double projection on the critical and subcritical fracture planes. Experiments on unidirectional tubular specimens were carried out under combined tension-torsion loadings to separate and identify the multiaxial fatigue failure behavior of composites. The proposed model has been verified using unidirectional laminates subjected to cyclic tension-torsion and off-axis loading, and the results showed that the predicted life is in good agreement with the experimental ones. Applications of three-dimensional digital image correlation (3D-DIC) and microscopy regarding verification in multiaxial damage mechanism are also addressed.

The Development Direction of Undergraduate Tourism Management Major under the Guidance of Party Building

The International College of Tourism is one of the construction units of the high-level vocational colleges with Chinese characteristics and the high-level professional group construction project (the "Double High Project"), and the tourism management professional group is one of the two high-level professional groups with Chinese characteristics that are mainly created by the construction of the "Double Universities". And party building is an important force in leading universities to carry out education and teaching work and promoting education and teaching management. The core professional tourism management construction of the Double High Professional Group is firmly rooted and steadily advancing under the guidance of party building. Let all faculty and staff make long-term plans, provide suggestions and suggestions for the development of the college, ensure the steady progress of education and teaching in the college, promote the professional development of tourism management teachers, and ensure that the level of education and training ability can be greatly improved. Clarify the guiding ideology, goals, requirements, and key tasks of party building work in universities, and regard high-quality party building as the core of tourism management construction in the dual high professional group, in order to explore the progress of tourism management under the guidance of party building.

Weak and strong convergence of a modified double inertial projection algorithm for solving variational inequality problems

We propose a new double inertial projection algorithm by combining the subgradient extragradient algorithm with the projection contraction algorithm. On one hand, our algorithm requires the mapping to be Lipschitz continuous, but without the Lipschitz constant. On the other hand, this algorithm only requires the mapping is quasimonotone.Under some mild conditions, we obtain a weak convergence result of the algorithm. In addition, we give a strong convergence result of the algorithm when the mapping is strongly pseudomonotone. Some numerical experiments are given to show the effectiveness of the proposed algorithm.

Recovery of the response function of a flexible membrane to a volume oscillation using double digital fringe projection technique and frequency filtering

This study presents a method to recover the response function of a flexible latex membrane undergoing a dynamic event by volume oscillation using Double Digital Fringe Projection to measure the profile of the surface in a sequence of frames. By applying a frequency filter to the interference pattern, a moiré pattern was obtained. Optical phase retrieval from individual frames was performed using the Isotropic Quadrature Transform Algorithm. This fringe projection technique enables full-field measurements, including edges where other techniques could not perform due to shadows generated by the tilt angle. The procedure was devised as a non-contact system to retrieve the deformation function of a flexible surface, enhancing a valuable aspect of the methodology. The results demonstrate successful recovery of the membrane response function, highlighting the relevance of the method for accurate deformation measurements using a straightforward system. These outcomes provide significant value for the development of precise measurement techniques for flexible structures in engineering applications, such as soft robotics, biomedical devices, and material science.

Robust manifold discriminative distribution adaptation for transfer subspace learning

Transfer learning is an effective means by leveraging rich information of the labeled samples from the source domain to build an appropriate classifier for annotating the target domain. Existing transfer learning algorithms usually try to minimize the distribution difference between different domains by means of Maximum Mean Discrepancy (MMD) based metric criteria. However, the domain adaptation methods based on MMD usually have the following two problems: 1) the local geometry information of the inter-domain data is ignored, which may cause to negative transfer effect. 2) The classifier and the feature learning are not integrated into one framework, in which the global optimal solution may be not obtained. Therefore, a Robust Manifold Discriminative Distribution Adaptation (RMDDA) model is presented for transfer subspace learning. Because the difference between domains leads to the large deviation of the original features of data in the source and target domains, it is difficult to construct the manifold structure of inter-domain data. A new feature termed Histogram Feature of Neighbors (HFON) is firstly introduced to rightly capture the domain locality. Secondly, the marginal distribution, conditional distribution, and discriminative regression are integrated into a model, which can solve the problem of separating feature learning from classifier training. It is considered that the dimension of feature extraction is limited by the number of classes which is determined by discriminative regression, we introduce double projection matrices into the model. Lastly, the numerous experiments on six benchmark cross-domain image datasets prove the superiority of RMDDA algorithm compared with some state-of-the-art algorithms.

EXECUTION OF VARIOUS GEOTECHNICAL WORKS FOR CHALLENGING PROJECTS IN SWEDEN AND SLOVENIA

The city of Gothenburg in western Sweden is currently experiencing the construction of one of the biggest infrastructure projects in the country - The West Link (Västlänken). The West Link is an eight km double track railway project, of which six km will run through underground tunnels. The project is split into five different sections, which were awarded and being executed individually. The widely varied geological profile of the area consisting of weak to very weak clay (often referred as ‘quick clay’) and silty, sandy and gravelly moraine along with challenging local conditions like existing waterways, traffic routes and buildings require a range of soil improvements and shoring system solutions suiting the local conditions. Keller has been executing Dry deep soil mixing (DDSM) to stabilize the quick clay to facilitate excavation and jet grouting for water sealing and excavation support in addition to soil improvement purposes. Execution of uplift piles over a flowing river, drilled steel piles at the bottom of excavation pit as foundation support, drilled steel pile wall and sheet piling for excavation support are other examples of geotechnical solutions executed as customized to site requirements. The knowledge gained from challenging international projects is further applied to key local projects, such as those in Slovenia, where the advantages of developed geotechnical technologies and procedures are leveraged in the most effective ways. Two significant projects have recently been executed using this approach. Firstly, ground improvement works were undertaken for the new Central Correctional Facilities Project in Ljubljana, involving the use of premixed vibro concrete columns (PVCC). This project was carried out on an abandoned quarry that had been filled with construction waste over the past few decades. The second project involves landslide prevention measures, specifically the reconstruction of an existing anchored wall on a highway near Maribor. To address this, longer and higher capacity geotechnical anchors were installed at heights of up to 8 meters.

Lessons Learned from the Construction and Initial Performance of a Double Chip Seal over a Paving Mat Pilot Project

Single chip seals are used by many agencies to maintain or preserve their roadways. While the construction and performance of single chip seals can be easily found from literature, the construction of double chip seals with and without paving fabric or paving mats is still not common. This paper investigates four double chip seal strategies used in a pilot project constructed on US 395 in Inyo County, California, by Caltrans. Within the double chip seal project limits, eight Performance Evaluation Sections (PESs) using four treatment strategies were established for detailed performance monitoring and evaluation: 1—a 3/8-inch asphalt rubber chip seal followed by a 1/4-inch PME chip seal without pavement-reinforcing fabric (PRF) or a paving mat as a control section; 2—a 3/8-inch PME chip seal over PRF, followed by a 1/4-inch PME chip seal; 3—a 3/8-inch PME chip seal over a paving mat, followed by a 1/4-inch PME chip seal; and 4—an asphalt rubber 3/8-inch chip seal over a paving mat, followed by a 1/4-inch PME chip seal. This pilot project was monitored during construction and evaluated 1 year later to help identify any construction issues and was used to improve the specifications and performance of Caltrans’ chip seals. This paper presents the initial findings following construction, and the one-year performance of the pilot project and lessons learned. The findings presented were accomplished by using these four treatment strategies on a highway with a very adverse high desert climate type and high traffic volumes. Project reviews are also planned for up to seven years to determine the long-term project performance.

Persepsi dan Kapasitas Adaptif Warga Terdampak Penggusuran Proyek Jalur Ganda Kereta Api Bogor-Sukabumi (Kasus di Wilayah Relokasi RT 04/RW 01 Kelurahan Bojongkerta, Kecamatan Bogor Selatan, Kota Bogor, Jawa Barat)

­­Infrastructure development tends to cause new problems where people in residential areas become victims of evictions so that people need to have good adaptive capacity in order to survive from the impact of evictions. This study aims to analyze the effect of perceptions on the adaptive capacity of residents affected by the eviction of the Bogor-Sukabumi double track railway project. The study used survey method with questionnaire and in-depth interviews as data collection tools from 52 residents living in the eviction relocation area RT 04/RW 01 Bojongkerta Village, South Bogor District, Bogor City and some informants. Simple linear regression analysis shows that there is no significant influence of perceived eviction impact on adaptive capacity. However, the inverse direction of the relationship shows a tendency that poor perceptions of the eviction impact increase adaptive capacity of residents affected by the eviction of Bogor-Sukabumi double track railway project.

From rejection to acceptance: the institutionalization of adopting university ranking outcomes as policy and strategic tools in China since the 1980s

ABSTRACT China is an important player in global university ranking exercise. Nevertheless, existing studies have not adequately explored how the legitimacy of adopting university ranking outcomes has been chronologically established on Chinese soil. This paper attempts to fill this knowledge gap drawing on interviews with 37 stakeholders between 2003-2021 and an analysis of 2086 articles and reports published between 1984–2022 concerning university rankings. It first analyses the process of institutionalization of adopting university ranking outcomes in China, and discusses how the policy initiatives such as the ‘985 Project' in 1998 and the ‘Double First-Class' Project in 2016 intertwined with university rankings over the time and provide opportunities for establishing such legitimacy. Secondly, it analyses the mechanisms through which university ranking outcomes gain legitimacy, and suggests that interactions among the stakeholders are one of the key mechanisms, whereby the central government plays a pivotal role in legitimizing adoption of international university ranking results. Furthermore, we argue that the universities have responded actively to adopting the ranking outcomes and use them as strategic tools to achieve their own goals. As such, this paper sheds a new light on the impact of university rankings in China and beyond.

Melt rates in the kilometer-size grounding zone of Petermann Glacier, Greenland, before and during a retreat

Warming of the ocean waters surrounding Greenland plays a major role in driving glacier retreat and the contribution of glaciers to sea level rise. The melt rate at the junction of the ocean with grounded ice-or grounding line-is, however, not well known. Here, we employ a time series of satellite radar interferometry data from the German TanDEM-X mission, the Italian COSMO-SkyMed constellation, and the Finnish ICEYE constellation to document the grounding line migration and basal melt rates of Petermann Glacier, a major marine-based glacier of Northwest Greenland. We find that the grounding line migrates at tidal frequencies over a kilometer-wide (2 to 6 km) grounding zone, which is one order of magnitude larger than expected for grounding lines on a rigid bed. The highest ice shelf melt rates are recorded within the grounding zone with values from 60 ± 13 to 80 ± 15 m/y along laterally confined channels. As the grounding line retreated by 3.8 km in 2016 to 2022, it carved a cavity about 204 m in height where melt rates increased from 40 ± 11 m/y in 2016 to 2019 to 60 ± 15 m/y in 2020 to 2021. In 2022, the cavity remained open during the entire tidal cycle. Such high melt rates concentrated in kilometer-wide grounding zones contrast with the traditional plume model of grounding line melt which predicts zero melt. High rates of simulated basal melting in grounded glacier ice in numerical models will increase the glacier sensitivity to ocean warming and potentially double projections of sea level rise.

THE ARCHITECTURE OF DYNAMIC INTEGRATED INTELLIGENCE MODEL FOR MANAGING INNOVATION PROJECTS

Existing Intelligence Models for managing innovative projects and programs have been explored. The competency-based approach is considered the basis for building a Dynamic Integrated Intelligence Model for managing innovative projects and programs. The proposed architecture of two groups of competence at a high level and five groups of Competencies lower level of the Dynamic Integrated Intelligence Model for Managing Innovation Projects. The Dynamic Integrated Intelligence model has two groups of high levels – Fluid intelligence and Crystallized intelligence. The lower-level model is presented by seven groups of interrelated competencies: strategic, managerial, emotional, social, cognitive, business, and technical. Each group of competencies of the Dynamic Integrated Intelligence Model is defined. The Dynamic Integrated Intelligence Model (DIIM) is a framework that helps individuals and organizations develop and enhance their ability to adapt to change and uncertainty. It is based on the idea that intelligence is not a fixed trait but rather a dynamic set of skills and abilities that can be developed and improved over time. By developing and enhancing these four components of intelligence, individuals, and organizations can become more adaptable, innovative, and resilient in the face of change and uncertainty. The dynamic integrated intelligence model can be applied in an Agile environment to enhance the cognitive and social-emotional skills of Agile team members. Applying the dynamic integrated intelligence model in an Agile environment can lead to better teamwork, enhanced problem-solving abilities, and improved project outcomes. The organization competence-based IPMA Delta model was used to assess the project team’s competence level. As an example of the application, the Dynamic Integrated Intelligence Model to the implementation of the double degree project of the Kyiv National University of Civil Engineering and Architecture and the Dortmund University of Applied Sciences.

Oriental Ornaments: Yellowface and Painful Object(ification)s in Sanders’s Ghost in the Shell

Rupert Sanders’s live-action adaptation Ghost in the Shell (2017) is singular within the franchise for manifestly bringing into focus the sociocultural and political dimensions of subjectivation and interpellation through casting. This film crystalizes entanglements of race, gender, and sexuality in both narrative and production. This article argues that the red-robed geisha illuminates the méconnaissance of surface and embodiment, thereby providing a lens through which we can interrogate not just the re-presentation of race but also its spectrality and paradoxical dis/embodiment. Actor Rila Fukushima’s performance serves as a double projection: as a performer, her enactment is a projection on film; as the red-robed geisha, the film re-presents her as a “yellow” woman, literally masked as a “perfected” version of herself. Her Asianness is ornamental and made infinitely wearable, pinpointing her imbrication not only in objectification, but also in the convoluted symbiosis between ornamentation as racialization (and vice versa) and racial melancholia. By focusing on the film’s production and re-presentation of Fukushima, this article posits that her double projection shows how the shifting surfaces of racial formation and the pathology of racial melancholia are clearly intertwined.

Mempercepat Waktu Pelaksanaan Proyek Pembangunan Jalur Ganda Kereta Api Antara Mojokerto-Sepanjang Melalui Penjadwalan Line of Balance

In construction management, project scheduling is an important thing to note. The project schedule is a means of determining proper duration, controlling implementation progress, and allocating resources efficiently. Improper scheduling will have an impact on project delays. the project for the construction of a double track railway across the south of Java between Mojokerto-Sepanjang is planned to be completed in 60 weeks with overlapping activities due to changes in activities. This double track rail project is an ongoing project. This research aims to find out the project implementation time using the Line of Balance. The development project has a length of 3011.23 m. the Line of Balance method is carried out by determining the dependency logic, preparing a Line Of Balance schedule, drawing a Line Of Balance graph, and determining the production speed. The results of the study show that the line of balance schedule in the existing conditions has lines of intersection between jobs. The intersection indicates that there is overlapping work. For this reason, improvements are made by changing the dependency logic from work that was originally parallel to not parallel. The results of improvements made by reducing the duration per work cycle by 1 week revealed that the duration of the project could be accelerated to 38 weeks. So that the scheduling can be used to speed up the time of implementation of project activities.

A double projection algorithm with inertial effects for solving split feasibility problems and applications to image restoration

A double projection algorithm with inertial effects for solving split feasibility problems and applications to image restoration

Traffic Emissions due to Changes in Road Layout in Developing Township Related to Double Track Rail Project Constructions

Traffic emissions in developing townships are less studied compared to major townships and cities. The Electrified Double-Track Project (EDTP) rail line is a linear project traversing from south to north of peninsular Malaysia. Construction of this line has somewhat affected the traffic flow in terms of delay and congestion, affecting traffic-related emissions. A study on the emission fluctuations due to traffic flow changes during the electrified double-track rail line construction was carried out in Parit Buntar, a developing township north of Peninsular Malaysia. Currently, not many primary study reports furnish insights into the effect of the project’s construction phase. Sidra 6.1 were used to estimate the traffic flow delay and level of service (LOS) at signalised intersections from traffic surveys of six intersections. These inputs were also used to estimate the fuel consumption and cost of fuel consumption for all three stages of emission contribution, namely before construction, during construction, and after construction (commissioning phase). The respective fuel consumption (L/hr.) before the construction, during construction, and post-construction were (437, 174, and 198) at J1, (-, 1650, and 264) at J2, (475, 2429, and 2384) at J3, (332, 336, and 261) at J4, and (206, 13996, and 452) at J5. This study found that a proper signal phasing post construction has improved delay time and traffic emission. The findings should be relevant for researchers interested in the emissions within the developing townships, especially in enhancing road layouts for the sustainability of life and well-being in the local and broader contexts.