Actual Planning Research Articles

빅데이터를 활용한 MBTI에 대한 한국 사회의 인식

Objectives This study was conducted to find out the main issues and meanings of Korean people's MBTI because two years after the first MBTI test became an issue using big data, and it shows more than just a psychological test.
 Methods Using the web crawler function, “MBTI” was collected from February to March 2022, and “Personality Type Test” was collected around ‘Naver news’ articles collected from November 2021 to March 2022, and language network analysis was conducted using a total of 3,910 keywords excluding disused words.
 Results First, the terminal frequency analysis showed that the top key keywords associated with MBTI were certification, education, symptoms, Yu Jae-seok, results, disorders, overcoming, study, counseling, depression, disposition, Korea, lecture, implementation, and operation. Second, as a result of analyzing the topic modeling based on the Latent Dirichlet Allocation(LDA), the four major topics were ‘related counseling programs’, which showed the types of counseling programs operated in relation to the actual MBTI. ‘Actual treatment and utilization plan as a professional’ appeared to be used in the actual treatment process as an expert as the youth appeared in high frequency. The MBTI Expert Course was not a formal psychological test in the broadcast, so it was interested in the official license MBTI inspection of the Korea MBTI Institute. ‘Celebrity and Issue’ appeared as an issue related to entertainers as MBTI received people's attention.
 Conclusions This study examined the overall perception of Korean people's MBTI and discussed the implications and significance of the study using it.

A Critical Reassessment: The European Cloud University Platform and New Challenges of the Quartet Helix Collaboration in the European University System

The European Commission has presented how it intends to give Europe a lead in the data-driven economy by enabling cloud-based services and world-class infrastructures for industry, scientists, and public services. In 2011 we discussed and proposed the cloud university platform for the European Union in the European Integration Studies. The purpose of the study is to deliver a critical reassessment of the European Cloud University Platform. Today a new European Open Science Cloud (EOSC) will offer Europe's 1.7 million researchers and 70 million science and technology professionals a virtual environment to store, share and re-use the large volumes of information generated by the big data revolution. The EOSC will be underpinned by the European Data Infrastructure, deploying the high-bandwidth networks and super-computer capacity necessary to effectively access and process large datasets stored in the cloud. There is also a target to build a single market for the Internet of Things: with the right standards for interoperability, and open cross-sector platforms for IoT devices and services to connect seamlessly, and scale-up, up anywhere in the EU. Our assessment is focused on the European Open Science Cloud (EOSC) and its operational functioning and implementation process. The study is based on conventional assessment methods and tools. The methodology is a mostly mixed methodology (with both qualitative and quantitative data analytics) and it pays attention to argumentation logic and actual policy planning process and operational implementation of the EOSC. The role of Research Infrastructures (RIs), as well as cross-border innovation management approach are emphasized in recent transnational European research and innovation policy. Support for RIs form important pillars in the Horizon 2020-framework, as well as in the Horizon Europe-framework based on the idea that modern science requires unique global competitive capabilities, which individual institutions, or even individual European countries, often cannot provide by themselves. There are very good reasons to perform a critical assessment, because according to the European Cloud Initiative, over the coming 5 years, the European Commission will put forward proposals to meet the €4.7 billion investment need to integrate and consolidate data infrastructure. These vital proposals will bring together the EU and other sources, including Member States and private investments. By 2017, all scientific data produced by projects under the €77 billion within the Horizon 2020 research and innovation programme will become open by default to ensure that the scientific community can re-use the enormous amount of data they generate. This change is not marginal and needs more reflective discussions. The primary database of reassessment is the documents of the European Open Science Cloud (EOSC) and (1) associated European Commission work programme (overview of institution-wide deliverables), (2) the strategic plan (department strategy, objectives for 2016-2020) and (3) other EU management plans and scientific discussion associated with platform economy research. These EU documents were published after our original EIS article. The key results of critical reassessment are: (1) There are concrete needs to strengthen links between the European Open Science Cloud, Industry 4.0 strategy and Industry 4.0 Curriculum in Europe, (2) the concept of platform needs more discussion in the future developments of the European Open Science Cloud (EOSC), (3) country-level university and research community participation in the EOSC requires more discussion and more updated operational implementation plans and programs, and (4) there is need to plan symbiotic digitalized innovation eco-system policy and economic growth policy framework for the European Union. We summarise our critical reassessment with a critical note that there are big integration challenges of the European Open Science Cloud. Keywords: European Open Science Cloud, Big Data, Industry 4.0, Higher education, European integration, Digitalization, Platform economy, Open science policy, Open innovation paradigm, Collaboration framework of European universities, Data governance, Digital platforms, Data infrastructure, European data politics, Data policy

A personalized DVH prediction model for HDR brachytherapy in cervical cancer treatment.

PurposeAlthough the knowledge-based dose-volume histogram (DVH) prediction has been largely researched and applied in External Beam Radiation Therapy, it is still less investigated in the domain of brachytherapy. The purpose of this study is to develop a reliable DVH prediction method for high-dose-rate brachytherapy plans.MethodA DVH prediction workflow combining kernel density estimation (KDE), k-nearest neighbor (kNN), and principal component analysis (PCA) was proposed. PCA and kNN were first employed together to select similar patients based on principal component directions. 79 cervical cancer patients with different applicators inserted was included in this study. The KDE model was built based on the relationship between distance-to-target (DTH) and the dose in selected cases, which can be subsequently used to estimate the dose probability distribution in the validation set. Model performance of bladder and rectum was quantified by |ΔD2cc|, |ΔD1cc|, |ΔD0.1cc|, |ΔDmax|, and |ΔDmean| in the form of mean and standard deviation. The model performance between KDE only and the combination of kNN, PCA, and KDE was compared.Result20, 30 patients were selected for rectum and bladder based on KNN and PCA, respectively. The absolute residual between the actual plans and the predicted plans were 0.38 ± 0.29, 0.4 ± 0.32, 0.43 ± 0.36, 0.97 ± 0.66, and 0.13 ± 0.99 for |ΔD2cc|, |ΔD1cc|, |ΔD0.1cc|, |ΔDmax|, and |ΔDmean| in the bladder, respectively. For rectum, the corresponding results were 0.34 ± 0.27, 0.38 ± 0.33, 0.63 ± 0.57, 1.41 ± 0.99 and 0.23 ± 0.17, respectively. The combination of kNN, PCA, and KDE showed a significantly better prediction performance than KDE only, with an improvement of 30.3% for the bladder and 33.3% for the rectum.ConclusionIn this study, a knowledge-based machine learning model was proposed and verified to accurately predict the DVH for new patients. This model is proved to be effective in our testing group in the workflow of HDR brachytherapy.

Specifying the morphometric parameters of grottoes and galleries of the Kungur Ice Cave following the results of the topographic and geodetic surveying

Introduction. The Kungur Ice Cave’s complex morphology indicates several stages of formation, starting with hypogenic (phreatic), and then epigenic (vadose) stages of speleogenesis. Cave formation conditions determined its specific water content and unique morphometry. Research objective was to create an actual topographic plan of the cave to establish morphometric parameters of the underground cavity (length, average width and height of the grottoes, amplitude, area and volume, etc.). Methods of research consisted in the graphical interpretation of the data obtained during topographic surveys performed by modern geodetic instruments and an alternative method of surveying underground cavities using a modified laser rangefinder. The surveys were carried out in the cave in the period from 2018 to 2021. Research results. For the first time, the volumes of individual grottoes and passages were calculated for the cave. In the protected part of the cave, the levels of lakes, the sole and roof of galleries were tied to absolute heights. The area occupied by the mantle ice in the cave was determined. The areas of lakes during the period of minimum and maximum water levels are calculated, as well as the strength of rocks over the entire cave. The area occupied by the mantle ice at the beginning of 2022 was determined. Within the framework of structural mapping, genetic types of cracks were recorded (tectonic, intrastratal, separation, hydration and tension, dissolution cracks), their total length was more than 38 km. We obtained marks of clay-dolomite interlayers separated in the ice-cave pack and marks of the stable water level at the time of the cave formation (10–12 thousand years ago). For the first time, the sole of the Nevolinskaya sequence was mapped in absolute hights, the area and number of organ pipes were revealed, and the zone of areal development of sulfate and carbonate breccia was identified. The scope of the results. The analysis of the obtained structural mapping data will allow us to assess the stability of the walls and the vaulted part of the grottoes, which will further increase the safety of visiting the excursion part of the cave.

Measuring Greenhouse Gas Emissions from Point Sources with Mobile Systems

The traditional least squares method for the retrieval of CO2 emissions from CO2 emission sources is affected by the nonlinear characteristics of the Gaussian plume model, which leads to the optimal estimation of CO2 emissions easily falling into local minima. In this study, ACA–IPFM (ant colony algorithm and interior point penalty function) is proposed to remedy the shortcomings of the traditional least squares method, which makes full use of the global search property of the ant colony algorithm and the local exact search capability of the interior point penalty function to make the optimal estimation of CO2 emissions closer to the global optimum. We evaluate the errors of several parameters that are most likely to affect the accuracy of the CO2 emission retrieval and analyze these errors jointly. These parameters include wind speed measurement error, wind direction measurement error, CO2 concentration measurement error, and the number of CO2 concentration measurements. When the wind speed error is less than 20%, the inverse error of CO2 concentration emission is less than 1% and the uncertainty is less than 3%, when the wind direction error is less than 55 degrees, the inverse error is less than 1% and the uncertainty is less than 3%, when the CO2 concentration measurement error is less than 10%, the inverse error is less than 1% and the uncertainty is less than 3.3%, and when the measurement quantity is higher than 60, the inverse error is less than 1% and the uncertainty is less than 3%. In addition, we simulate the concentration observations on different paths under the same conditions, and invert the CO2 emissions based on these simulated values. Through the retrieval results, we evaluate the errors caused by different paths of measurements, and have demonstrated that different paths are affected by different emission sources to different degrees, resulting in different inversion accuracies for different paths under the same conditions in the end, which can provide some reference for the actual measurement route planning of the mobile system. Combined with the characteristics of the agility of the mobile system, ACA–IPFM can extend the monitoring of CO2 emissions to a wider area.

A Look at Inorganic Analyses, Proficiency Tests, and Best Practices, Part II

The use of proficiency tests (PTs) in an analytical inorganics laboratory is an essential part of assuring clients the laboratory is producing accurate results. In the first part of this two-part series, we examined the ways in which contaminants can alter the results in a detrimental fashion in regard to proficiency testing and laboratory audits. In Part II, we examine the actual planning, running, and reporting of a PT scheme and the possible impact of error and contamination.

팬데믹 대응형 도시계획의 방향성 및 기법에 관한 연구

This study aims to propose urban planning directions and strategies that enable building urban space safe from transmissive disease like COVID-19. Through reviewing published articles and interviewing experts of various urban fields, this study derived fourteen planning considerations and reassembled them into five urban planning directions: accssibility, self-sustainability, smart technology, health, and prevention. Also, eighteen strategies covering the following seven urban planning areas were proposed: land use, traffic infrastructure, green infrastructure, public facility, medical facility, residential environment, and urban environment. This study contributes to providing comprehensive urban planning directions and strategies necessary for planning resilient cities in POST-COVID-19 era. Specifying the proposed strategies into different approaches, implementing necessary policy improvements, and conducting pilot projects are required to applicate the result of this study into actual urban planning stage.

A Study on Intercultural education class plan for KSL Learners

이 연구는 한국어교육에서의 상호문화교육 특성과 한국어 교육과정을 이해하고, 이에따라 상호문화교육의 관점에서 KSL 학습자를 대상으로 한 한국어 수업의 지도 방안을제시하는 데 목적이 있다. 이를 위해 상호문화교육의 개념 및 관점을 정립하고 한국어교육의 교육과정과 상호문화교육의 내용과 방법을 점검하였다. 본 연구의 결과에서 상호문화교육의 수업 과정을 ‘자문화 인식, 타문화 발견, 양문화 비교, 타문화 수용, 행동’의 5단계로 보고, 이를 중심으로 실제 수업의 지도 방안을 KSL 학습자 초급과 중급을 대상으로 제시하였다. 본 연구는 KSL 학습자들이 새로운 문화를 경험하면서 다른 문화와의 만남이 이루어지는 상호문화교육을 위한 공간이 공교육의 교실 환경이 되어야 한다는 시각으로 접근하였으며, 이에 따라 학습자들의 교실 수업은 교육의 내용을 학습하는 차원을 넘어 학습자 및 사회 구성원으로서 접해야 하는 갈등 상황에 대한 직접적 실천과 행동의 차원으로 발전시킬 수 있도록 하는 교육의 장이 되는 데 중점을 두도록 하였다. 교육 현장에서의 상호문화교육이 이러한 관점을 포용하면서 한국어 교육과정의 틀 안에서 지속적으로 이루어질 때 KSL 학습자들은 문화 적응력과 사회문화적 정체성을 함양하여 한국사회의 구성원으로 성장해 나가게 하는 기반이 될 수 있을 것으로 본다.The study aims to understand the characteristics of intercultural education and the Korean language curriculum in Korean language education, and to present a guidance method for Korean language classes for KSL learners from the point of view of intercultural education. To this end, the concept and perspective towards intercultural education have been established and curriculum and intercultural education contents and methods in Korean language education have been reviewed. The results shows curriculum of intercultural education has 5 stages ‘awareness of one’s own culture, the discovery of other cultures, comparison of each culture, acceptance of other cultures, and action,’ and based on this it suggests an actual lesson plans for KSL beginner and intermediate learners. This study approaches with a view that the public education classroom should be a space where KSL learners have intercultural education which includes experiencing new cultures and meeting different cultures. Accordingly, the learner’s classroom lesson should be beyond learning the course content but emphasize education on the conflict that the learners have to face as a learner and members of the society and how to develop it into direct action. In the fields of study, if intercultural education embraces these views and continues in the Korean language curriculum, it would develop cultural adaptability and socio-cultural identity for KSL learners providing a foundation for them to become a Korean society.

URBAN DECLINE AND CHALLENGES OF REVITALIZATION PROJECT: A STUDY OF MARTIN QUARTERS KARACHI

With the emergence of the housing problems in Karachi, new housing schemes are being launched on the city’s outskirts. Instead of launching new housing in the suburbs, this research aims to study one of the existing dilapidated areas within the city and considering redevelopment as an alternate to eviction. This research revolves around the qualitative approach that involved surveys of Martin Quarters, focused gathering discussions and on-site meetings with involved stakeholders. A total of 50 respondents were picked using the multistage random sample method. The analysis is based upon the perception of householders about the revitalization of the area and examining the actual planning of government quarters that aimed to house federal employees in Karachi in the first phase of development of Karachi in 1947-1957 and current planning techniques used by people guided by traditional ways of living. The paper finds that the land on which Martin Quarters are situated is an expensive land of State that is being wasted due to the low-density settlement and also occupied illegally by many residents. Furthermore, it is improperly planned and growing haphazardly due to the increase in the population of the city and is at risk of decay and chaos. The paper concludes that the revitalization of Martin Quarters by the government is only a solution to stop the decaying of this area and it will benefit the general masses by enhancing accommodation capacity. Keywords: Street Vendors, Local Economic Influencer, Business Safety for Vendors, Planning for Local Economic Development

Case analysis: New York City emergency planning falls short for disabled

Introduction: Historically, emergency management planners have neglected to include critical stakeholders in the actual planning process, which has left thousands of vulnerable individuals who are sensory or mobility impaired open to injury and illness, during and after emergencies. Ultimately, this left gaps in both the planning and recovery phases of an emergency response for the most vulnerable. Having a clear and comprehensive understanding of the entire city, including the political landscape encompassing the citizens, the complex infrastructure, and available resources, will help inform the who, what, where, when and how to effectively develop an all-inclusive emergency plan. Over time, and as a result of many different types of disasters occurring (e.g., hurricanes, terrorist attacks, explosions), emergency managers remain challenged to continually improve upon their planning process, engaging agencies and organizations at all levels (i.e., local, state, national) to better prepare for future emergencies. One such challenge, a successful class action lawsuit brought by the Brooklyn Center for Independence of the Disabled (BCID), mandated that New York City address significant gaps in emergency planning specific to transportation, evacuation, sheltering, and unique communication needs that affect over 900,000 New Yorkers with functional disabilities.1 Methods: Extensive online search for documents, resources, court settlements, press releases all having to do with lack of emergency planning and services for disabled populations across the United States. Discussion: The DOHMH has now implemented a Post Emergency Canvassing Operation (PECO) and could be a model for other cities and states, on how to rapidly canvass, determine needs and provide referral following an emergency for the unique needs of the vulnerable population to mitigate the risk of injury or disease. This adds yet another layer of resources and support to a population that has historically been left behind.

A practical algorithm for VMAT optimization using column generation techniques.

As a challenging but important optimization problem, the inverse planning for volumetric modulated arc therapy (VMAT) has attracted much research attention. The column generation (CG) type method is so far one of the most effective solution schemes. However, it often relies on simplifications leading to significant gaps between the output and the actual feasible plan. This paper presents a novel column generation (NCG) approach to push the planning results substantially closer topractice. The proposed NCG algorithm is equipped with multiple new quality-enhancing and computation-facilitating modules as below: (1) Flexible constraints are enabled on both dose rates and treatment time to adapt to machine capabilities as well as planner's preferences, respectively; (2) a cross-control-point intermediate aperture simulation is incorporated to better conform to the underlying physics; (3) new pricing and pruning subroutines are adopted to achieve better optimization outputs. To evaluate the effectiveness of this NCG, five VMAT plans, that is, three prostate cases and two head-and-neck cases, were computed using proposed NCG. The planning results were compared with those yielded by a historical benchmark planningscheme. The NCG generated plans of significantly better quality than the benchmark planning algorithm. For prostate cases, NCG plans satisfied all planning target volume (PTV) criteria whereas CG plans failed on D10% criteria of PTVs for over 9 Gy or more on all cases. For head-and-neck cases, again, NCG plans satisfied all PTVs criteria while CG plans failed on D10% criteria of PTVs for over 3 Gy or more on all cases as well as the max dose criteria of both cord and brain stem for over 13 Gy on one case. Moreover, the pruning scheme was found to be effective in enhancing the optimizationquality. The proposed NCG inherits the computational advantages of the traditional CG, while capturing a more realistic characterization of the machine capability and underlying physics. The output solutions of the NCG are substantially closer to practicalimplementation.

Effect of VLAN configuration on IEC 61850 sampled values

IEC 61850, the standard for communication in power utility, has solved the interoperability problems between different vendors in substation communication networks (SCNs). However, most studies on SCN that use IEC 61850 were conducted using computer-based simulations or commercial equipment with fixed functions. In this study, an experiment on an SCN was conducted using real equipment such as a network switch, Raspberry Pi, and a mini PC. A cyclic data model was used for the traffic generation of sampled values (SVs) according to IEC 61850. The effect of applying a virtual local area network (VLAN) in the SCN on the transfer time and throughput of the SV frames was measured. In addition, when using IEEE 1588 in the time synchronization process, it was verified that the clock offset remained unaffected irrespective of the use of VLANs or changes in the sampling frequency. The experimental results can serve as guidance for the actual planning and construction process of SCNs.

Release Planning Patterns for the Automotive Domain

Context: Today’s vehicle development is focusing more and more on handling the vast amount of software and hardware inside the vehicle. The resulting planning and development of the software especially confronts original equipment manufacturers (OEMs) with major challenges that have to be mastered. This makes effective and efficient release planning that provides the development scope in the required quality even more important. In addition, the OEMs have to deal with boundary conditions given by the OEM itself and the standards as well as legislation the software and hardware have to conform to. Release planning is a key activity for successfully developing vehicles. Objective: The aim of this work is to introduce release planning patterns to simplify the release planning of software and hardware installed in a vehicle. Method: We followed a pattern identification process that was conducted at Dr. Ing. h. c. F. Porsche AG. Results: We introduce eight release planning patterns, which both address the fixed boundary conditions and structure the actual planning content of a release plan. The patterns address an automotive context and have been developed from a hardware and software point of view based on two examples from the case company. Conclusions: The presented patterns address recurring problems in an automotive context and are based on real life examples. The gathered knowledge can be used for further application in practice and related domains.

Study of Photogalvanic cell for electrical output in solar energy conversion and storage: single surfactant as lauryl glucoside, Tartrazine as a photosensitizer and D-fructose as reductant

Actual plan of research work was proposed for systematic investigating in the field of photogalvanic cells for solar energy transformation. It was proposed to carry out experimental work under the solar parameters. The photogalvanic cells (photogalvanics or PG cells) were studied using different electrical outputs via photocurrent, photopotential, conversion efficiency, fill factor and cell performance. The above values are as follows: 385.0 A, 1130.0 mV, 0.7965%, 0.5357 and 120.0 minutes. PG cell containing lauryl glucoside, tartrazine and Dfructose were studied for the solar energy conversion and storage of electrical output. A detailed reaction mechanism for the proposed solar cell for generating photocurrent and photocurrent has been studied.

Application of three-dimensional visualization technique in laparoscopic D3 radical resection of right colon cancer

To explore the clinical value of three-dimensional (3D) visualization technique in laparoscopic D3 radical resection of right colon cancer. We retrospectively analyzed the clinical data of 73 patients with right colon cancer undergoing laparoscopic D3 radical operation in our hospital between May, 2019 and March, 2021. Among these patients, 41 underwent enhanced CT examination with 3D visualization reconstruction to guide the actual operation, and 32 underwent enhanced CT examination only before the operation (control group). In 3D visualization group, we examined the coincidence rate between the 3D visualization model and the findings in surgical exploration of the anatomy and variations of the main blood vessels, supplying vessels of the tumor, and the tumor location, and the coincidence rate between the actual surgical plan for D3 radical resection of right colon cancer and the plan formulated based on the 3D model. The operative time, estimated blood loss, unexpected injury of blood vessels, number of harvested lymph nodes, mean time of the first flatus, complications, postoperative hospital stay and postoperative drainage volume were compared between the two groups. The operative time was significantly shorter in 3D visualization group than in the control group (P < 0.05). The volume of blood loss, proportion of unexpected injury of blood vessel, the number of harvested lymph nodes, time of the first flatus, proportion of complications, postoperative hospital stay and postoperative drainage volume did not differ significantly between the two groups (P > 0.05). In the 3D visualization group, the 3D visualization model clearly displayed the shape and direction of the colon, the location of the tumor, the anatomy and variation of the main blood vessels and the blood vessels supplying the cancer, and showed a coincidence rate of 100% with the findings by surgical exploration. The surgical plan for D3 radical resection of right colon cancer was formulated based on the 3D model also showed a coincidence rate of 100% with the actual surgical plan. The 3D visualization reconstruction technique allows clear visualization the supplying arteries of the tumor and their variations to improve the efficiency, safety and accuracy of laparoscopic D3 radical resection of right colon cancer.

Research on The Combined Operation Mode of Express-local Train in Urban Railways

The applicability of the combined operation mode of express-local train trains is analyzed. The express-local train without overrun scheme and the express train overrun scheme are studied. The influence of different express-local train schemes on the line capacity is analyzed. The setting method of express train non-stop and express train overrun station is determined. Finally, taking the Wenzhou Rail Transit Line S1 as an example, combined with the actual passenger flow data and travel plan data, the express-local train operation plans under different express and local train ratios are determined. It provides a reference for enterprises to operate express-local train trains.

Futurism without a Future: Thoughts on The Ministry of Time and Mirage (2015–2018)

The future is not what it used to be. A new strain of futurism has taken over the stage of global science-fiction: one whose understanding of the future cannot be distinguished from its understanding of the present. Gone are the days when extraterrestrials in shiny, extravagant outfits mastered fascinating technologies that flirted with magic. Characters in Charlie Brooker’s Black Mirror (2015–2020) dress like us, and the dystopian technology they put up with is, for the most part, a technology that has existed for years. Armando Iannucci’s imagining of a space cruise for rich people in Avenue 5 (2020) overlaps with Elon Musk’s actual plans of sending wealthy tourists to the moon, while Albert Robida’s visionary téléphonoscope (1879) amounts to a sad reminder of our everyday Zoom call. Is not the current COVID-19 crisis the blueprint to the ultimate post-apocalyptic script? Spanish filmmaker Juan Antonio Bayona noted in a recent interview that Steve Soderbergh’s Contagion (2011), originally labeled as a sci-fi movie by IMDB, is now a drama according to the same internet portal. Science is not fiction anymore, which means at least two different things: that science has lost the power to convey the kind of awe that may be later turned into fiction, and that fiction seems to be unable to inspire a narrative of scientific or—broadly speaking—human progress. How can we retrieve the emancipatory value of progress in good old futuristic sci-fi when the future coincides with the present? What should cultural production look like to help us imagine an alternative to financial capitalism in the face of the impossibility of utopia? The answer, I will claim, resides in Franco Berardi’s concept of “futurability”. This paper explores the limits of this concept by reading side by side Javier Olivares’ and Pablo Olivares’ The Ministry of Time (2015) and Oriol Paulo’s Mirage (2018).

Fuzzy mixed integer linear programming model for national level monthly unit commitment under price-based uncertainty: A case study in Thailand

In large-scale monthly unit commitment (MUC), the generation system is committed to a schedule list of available generating units and available fuel provision for each day in a whole month. Despite challenging numerous operational restrictions, fluctuating factors such as load demand, fuel price affect the decision-making on generating electricity in the uncertain market. A Fuzzy Mixed Integer Linear Programming Model (MILP) focusing on the uncertainty fuel price for the MUC in the national level power system is introduced. The price-based uncertainty is handled by attempting to minimize the fluctuation tolerance of fuel price. Moreover, a solution method for solving Fuzzy MILP is presented. An actual national planning level in Thailand's power system comprises multiple types of generators, and supplied fuels are tested using the proposed technique. The small test case, including a 24-unit system, is used for sensitivity analysis on fuel price. The national-level planning data are from the Electricity Generating Authority of Thailand (EGAT), with a 204-unit system is conducted to demonstrate the efficiency of the proposed Fuzzy MILP model.

Application of a nomogram to radiomics labels in the treatment prediction scheme for lumbar disc herniation

ObjectiveTo investigate and verify the efficiency and effectiveness of a nomogram based on radiomics labels in predicting the treatment of lumbar disc herniation (LDH).MethodsBy reviewing medical records that were analysed over the past three years, clinical and imaging data of 200 lumbar disc patients at the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine were obtained. The collected cases were randomly divided into a training group (n = 140) and a testing group (n = 60) at a ratio of 7:3. Two radiologists with experience in reading orthopaedics images independently segmented the ROIs. The whole intervertebral disc with the most obvious protrusion in the sagittal plane T2WI lumbar MRI as a mask (ROI) is sketched. The LASSO (Least Absolute Shrinkage And Selection Operator) algorithm was used to filter the features after extracting the radiomics features. The multivariate logistic regression model was used to construct a quantitative imaging Rad‑Score for the selected features with nonzero coefficients. The radiomics labels and nomogram were evaluated using the receiver operating characteristic curve (ROC) and the area under the curve (AUC). The calibration curve was used to evaluate the consistency between the nomogram prediction and the actual treatment plan. The DCA decision curve was used to evaluate the clinical applicability of the nomogram.ResultFollowing feature extraction, 11 radiomics features were used to construct the radiomics label for predicting the treatment plan of LDH. A nomogram was then constructed. The AUC was 0.93 (95% CI: 0.90–0.97), with a sensitivity of 89%, a specificity of 91%, a positive predictive value of 92.7%, a negative predictive value of 89.4%, and an accuracy of 91%. The calibration curve showed that there was good consistency between the prediction and the actual observation. The DCA decision curve analysis showed that the nomogram of the imaging group has great potential for clinical application when the risk threshold is between 5 and 72%.ConclusionA nomogram based on radiomics labels has good predictive value for the treatment of LDH and can be used as a reference for clinical decision-making.

825 Can Applying Machine Learning on Perioperative Team Communication Data Change the Way we Predict Case-time Duration?

INTRODUCTION: Accurate case-time prediction is a critical component in improving operating room efficiency. Applying machine learning on patient and booking parameters has been shown to improve accuracy. However, the details of the actual surgical plan as determined by the surgeon pre-operatively have not been included in these predictions. In this study, we applied machine learning methods on data from perioperative team communication platform to predict case time duration. METHODS: The objective data collected from 535 neurosurgical cases by a perioperative team communication platform were divided to training and testing datasets (431 and 104 cases respectively). We developed a machine learning algorithm based on historical case-duration data (last 10 similar cases by the same surgeon) and compared to planning data collected from a perioperative team communication platform. We used the real case-time duration of the cases in the training dataset to train the algorithm. We then tested our model on the testing dataset and compared the accuracy of case-time prediction to the historical data alone prediction model, which is the common method used in our institution. RESULTS: The machine learning model combining historical and team communication data provided better accuracy in case-time prediction than historical data alone. The historical data method averaged 90.6 minutes difference in case-time from real time, and the machine learning model averaged 80.04 minutes (p=0.029). For cases longer than the case-time 50th percentile (183 minutes), the historical data method averaged 126.02 minutes difference from real time, and the machine learning model averaged 104.52 minutes (p=0.014). CONCLUSIONS: The actual case plan as discussed amongst the surgical team in the perioperative period provides information that is not often available otherwise. Applying a machine learning algorithm on the data captured through a team communication platform improved case time prediction compared to common methods.