Static Assessment Research Articles

Artificial Intelligence in Acute Kidney Injury Prediction.

The use of artificial intelligence (AI) in nephrology and its associated clinical research is growing. Recent years have seen increased interest in utilizing AI to predict the development of hospital-based acute kidney injury (AKI). Several AI techniques have been employed to improve the ability to detect AKI across a variety of hospitalized settings. This review discusses the evolutions of AKI risk prediction discussing the static risk assessment models of yesteryear as well as the more recent trend toward AI and advanced learning techniques. We discuss the relative improvement in AKI detection as well as the relative dearth of data around the clinical implementation and patient outcomes using these models. The use of AI for AKI detection and clinical care is in its infancy, and this review describes how we arrived at our current position and hints at the promise of the future.

Voltage Stability Assessments and Their Improvement Using Optimal Placed Static Synchronous Compensator (STATCOM)

In this paper, static voltage stability assessments and their improvement using analytical and optimization techniques with different loading scenarios are described. In this study, the 400 kV, 230 kV, and 132 kV Ethiopian electric power networks are modeled using Power System Analysis Toolbox (PSAT), and the load flow analysis is carried out using MATLAB source code. Then, different voltage stability indices, such as the user-defined advanced voltage stability index (AVSI), modified voltage stability index (MVSI), and fast voltage stability index (FVSI), are used to identify the voltage unstable buses. Besides this, particle swarm optimization (PSO) is also used to find the optimal size and placement of the Static Synchronous Compensator (STATCOM) for the most severe buses identified by voltage stability indices. The result presents three special arguments: whether the most severe buses that are ranked at the top based on the voltage stability indices are optimal buses for compensation placement or not, the voltage stability improvement, and power loss reduction with the introduction of STATCOM. Accordingly, it is observed that the weakest bus that is identified through the stability indices may not be the optimal placement of the compensation device. It is also indicated that, with the introduction of STATCOM to the optimal selected bus, the network power loss is reduced from 46.65 MW to 33.32 MW and its voltage magnitude in all buses is also improved. All bus voltages are within the IEEE standard acceptable limit.

Kinematic Evaluation of the Sagittal Posture during Walking in Healthy Subjects by 3D Motion Analysis Using DB-Total Protocol.

Posture can be evaluated by clinical and instrumental methods. Three-dimensional motion analysis is the gold standard for the static and dynamic postural assessment. Conventional stereophotogrammetric protocols are used to assess the posture of pelvis, hip, knee, ankle, trunk (considered as a single segment) and rarely head and upper limbs during walking. A few studies also analyzed the multi-segmental trunk and whole-body kinematics. Aim of our study was to evaluate the sagittal spine and the whole-body during walking in healthy subjects by 3D motion analysis using a new marker set. Fourteen healthy subjects were assessed by 3D-Stereophotogrammetry using the DB-Total protocol. Excursion Range, Absolute Excursion Range, Average, intra-subject Coefficient of Variation (CV) and inter-subject Standard Deviation Average (SD Average) of eighteen new kinematic parameters related to sagittal spine and whole-body posture were calculated. The analysis of the DB-Total parameters showed a high intra-subject (CV < 50%) and a high inter-subject (SD Average < 1) repeatability for the most of them. Kinematic curves and new additional values were reported. The present study introduced new postural values characterizing the sagittal spinal and whole-body alignment of healthy subjects during walking. DB-Total parameters may be useful for understanding multi-segmental body biomechanics and as a benchmark for pathological patterns.

Optimization of body balance indices according to Body Mass Index categories during physical education lessons for university students

Background and Study Purpose. Body stability is an important factor in the manifestation of human motor skills. The purpose of the research is to evaluate the efficiency of balance exercises, applied for 28 weeks, with a frequency of one activity / week, on a group of undergraduate students of the “Dunărea de Jos” University of Galați.&#x0D; Material and Methods. 195 subjects participated (99 males and 96 females), divided for analysis into 3 groups (underweight, N = 21, age = 20.16 ± .38, BMI = 17.46 ± .20); (normal weight, N = 111, age = 20.30 ± .21, BMI = 21.70 ± .17); (overweight / obese, N = 63, age = 19.90 ± .18, BMI = 30.69 ± .61). The tests were applied at 3 distinct times: initial T1 at the beginning of the academic year, intermediate T2 towards the end of semester 1 and final T3 at the end of semester 2. 3 static balance assessment tests were used (One leg standing test with closed eyes, Stork test and Flamingo test), respectively 4 tests to evaluate the dynamic balance (Bass test, Functional reach test, Walk and turn field sobriety test and Fukuda test).&#x0D; Results. ANOVA with repeated measurements and the differences between the test moments highlight in most cases values ​​of F associated with significant thresholds (p &lt;0.05), so there is an improvement in results for all 3 groups. The differences between T1 and T2 tests are larger than those between T2 and T3, so for almost all tests the progress is higher in the first semester, and in semester 2 there is a slight reduction, as a result of adapting to the proposed exercises. Even if they progress significantly, the group of overweight people has obviously weaker average results than normal weight and underweight people, signaling numerous individual cases that have problems in maintaining static balance and commit errors in dynamic balance tests. The better performances of the underweight in 3 cases (One leg standing test, Flamingo test Fukuda test and Walk and turn field sobriety test) cannot be generalized due to their small number compared to the other 2 groups, and this aspect can be considered as a new direction of investigation.&#x0D; Conclusions. There are premises for a favorable evolution of the balance indices for the group tested in this age group, but it must be taken into account that the low initial fitness level (generated by the lack of concerns for a lifestyle based on physical activities) is a factor that facilitated these less spectacular advances, but still statistically significant.

A dynamic calculation model of the carbon footprint in the life cycle of hospital building: a case study in China

PurposeThe calculation of buildings’ carbon footprint (CFP) is an important basis for formulating energy-saving and emission-reduction plans for building. As an important building type, there is currently no model that considers the time factor to accurately calculate the CFP of hospital building throughout their life cycle. This paper aims to establish a CFP calculation model that covers the life cycle of hospital building and considers time factor.Design/methodology/approachOn the basis of field and literature research, the basic framework is built using dynamic life cycle assessment (DLCA), and the gray prediction model is used to predict the future value. Finally, a CFP model covering the whole life cycle has been constructed and applied to a hospital building in China.FindingsThe results applied to the case show that the CO2 emission in the operation stage of the hospital building is much higher than that in other stages, and the total CO2 emission in the dynamic and static analysis operation stage accounts for 83.66% and 79.03%, respectively; the difference of annual average emission of CO2 reached 28.33%. The research results show that DLCA is more accurate than traditional static life cycle assessment (LCA) when measuring long-term objects such as carbon emissions in the whole life cycle of hospital building.Originality/valueThis research established a carbon emission calculation model that covers the life cycle of hospital building and considered time factor, which enriches the research on carbon emission of hospital building, a special and extensive public building, and dynamically quantifies the resource consumption of hospital building in the life cycle. This paper provided a certain reference for the green design, energy saving, emission reduction and efficient use of hospital building, obviously, the limitation is that this model is only applicable to hospital building.

Risankizumab for the Treatment of Moderate to Severe Plaque Psoriasis in the Russian Federation.

IntroductionRisankizumab has demonstrated efficacy and safety in phase 3 studies in patients with moderate to severe plaque psoriasis. This randomized clinical trial assessed the efficacy and safety of risankizumab in patients with moderate to severe plaque psoriasis in the Russian Federation.MethodsPatients with moderate to severe plaque psoriasis were randomized 4:1 to 16 weeks of double-blind treatment with risankizumab 150 mg or placebo (period A; dosing at baseline and week 4) followed by an open-label extension (period B) during which all patients received risankizumab 150 mg at weeks 16, 28, and 40 and were followed up to week 52. The primary study endpoint was the proportion of patients achieving ≥ 90% improvement in the Psoriasis Area and Severity Index (PASI 90) at week 16, and secondary endpoints included Static Physician’s Global Assessment scores and the Dermatology Life Quality Index. Treatment-emergent adverse events were monitored throughout the two study periods.ResultsOf the 50 patients who entered period A, 41 were randomized to receive risankizumab and 9 to receive placebo. Forty-eight patients entered period B, and 47 completed the study. A significantly larger proportion of risankizumab-treated patients achieved PASI 90 at week 16 compared with placebo-treated patients [response rate difference: 38.8% (95% CI 7.8–69.7%; P = 0.035)]. Consistently higher proportions of risankizumab-treated patients achieved secondary endpoints compared with the placebo-treated patients. Safety profiles were similar between the treatment groups, and no patients discontinued the study drug owing to adverse events.ConclusionRisankizumab was efficacious and well tolerated in patients with moderate to severe plaque psoriasis in the Russian Federation.Trial RegistrationClinicalTrials.gov NCT03518047.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13555-022-00776-0.

Comparative effectiveness of biologics in clinical practice: week 12 primary outcomes from an international observational psoriasis study of health outcomes (PSoHO).

Clinical trials study treatment outcomes under stringent conditions, capturing incompletely the heterogeneity of patient populations and treatment complexities encountered in real-world practice. To compare the effectiveness of anti-interleukin (IL)-17A biologics relative to other approved biologics in patients with moderate-to-severe psoriasis. The Psoriasis Study of Health Outcomes (PSoHO) is an ongoing 3-year observational cohort study in adults with chronic moderate-to-severe plaque psoriasis initiating or switching to a new biologic. Primary study endpoint is the proportion of patients achieving 90% improvement in Psoriasis Area and Severity Index (PASI 90) and/or static Physician Global Assessment (sPGA) 0/1 at Week 12 (W12) in the anti-IL-17A cohort (ixekizumab [IXE], secukinumab) vs. all other approved biologics. Secondary outcomes include the proportion of patients who achieve PASI 75/90/100, absolute PASI scores ≤5, ≤2 and ≤1, Dermatology Life Quality Index (DLQI) score of 0/1 at W12 between the two cohorts and among the individual biologics. Comparative effectiveness analyses were conducted using Frequentist Model Averaging (FMA), a novel causal inference machine learning approach. Missing data for binary outcomes were imputed as non-response. Patient profiles in the anti-IL-17A cohort and other biologics cohort were similar, with more frequent comorbid psoriatic arthritis and less frequent exposure to conventional treatments in the patients receiving anti-IL-17A biologics. At W12, 71.4% of patients who received an anti-IL-17A biologic achieved PASI 90 and/or sPGA 0/1 compared to 58.6% of patients who received other biologics (odds ratios [OR], 1.9; 95% confidence intervals [CI], [1.6, 2.4]). Similar findings were observed for secondary outcomes. These results reflect the high efficacy and early onset of skin clearance of IL-17A inhibitors observed in randomized clinical trials and confirm the effectiveness of anti-IL-17A biologics in the real-world setting.

Validity and reliability of a novel 3D ultrasound approach to assess static lengths and the lengthening behavior of the gastrocnemius medialis muscle and the Achilles tendon in vivo

PurposeHuman muscle–tendon units (MTUs) are highly plastic and undergo changes in response to specific diseases and disorders. To investigate the pathological changes and the effects of therapeutic treatments, the use of valid and reliable examination methods is of crucial importance. Therefore, in this study, a simple 3D ultrasound approach was developed and evaluated with regard to: (1) its validity in comparison to magnetic resonance imaging (MRI) for the assessment of the gastrocnemius medialis (GM) MTU, muscle belly, and Achilles tendon lengths; and (2) its reliability for static and dynamic length measurements.MethodsSixteen participants were included in the study. To evaluate the validity and reliability of the novel 3D ultrasound approach, two ultrasound measurement sessions and one MRI assessment were performed. By combining 2D ultrasound and 3D motion capture, the tissue lengths were assessed at a fixed ankle joint position and compared to the MRI measurements using Bland–Altman plots. The intra-rater and inter-rater reliability for the static and dynamic length assessments was determined using the coefficient of variation, standard error of measurement (SEM), minimal detectable change (MDC95), and intraclass correlation coefficient (ICC).ResultsThe 3D ultrasound approach slightly underestimated the length when compared with MRI by 0.7%, 1.5%, and 1.1% for the GM muscle belly, Achilles tendon, and MTU, respectively. The approach showed excellent intra-rater as well as inter-rater reliability, with high ICC (≥ 0.94), small SEM (≤ 1.3 mm), and good MDC95 (≤ 3.6 mm) values, with even better reliability found for the static length measurements.ConclusionThe proposed 3D ultrasound approach was found to be valid and reliable for the assessment of the GM MTU, muscle belly, and Achilles tendon lengths, as well as the tissue lengthening behavior, confirming its potential as a useful tool for investigating the effects of training interventions or therapeutic treatments (e.g., surgery or conservative treatments such as stretching and orthotics).Level of evidenceLevel II.

Static and dynamic resilience assessment for sustainable urban transportation systems: A case study of Xi 'an, China

Resilient transportation provides a new perspective for constructing sustainable cities. Although current studies have analyzed transportation resilience from different perspectives, accurately assessing the resilience of urban transport systems remains a significant challenge. This paper proposes a framework to evaluate the static and dynamic resilience of urban transportation systems. Based on systemic thinking and sustainability perspectives, we establish a Bayesian network model that comprehensively considers social, economic, organizational, and technological dimensions to assess the static resilience of urban transportation systems. We adopt percolation theory to determine the minimum required performance (MRP) of road network and explore the spatial distribution of dynamic resilience based on traffic performance under traffic congestion. Results show that the transportation resilience of Xi'an showed a continuous growth trend between 2010 and 2020, from 0.37 to 0.64. In addition, the primary task of enhancing resilience is to improve the system's restorative capacity, adaptive capacity, and resourcefulness. The MRP of the road network is 0.37. The areas with larger resilience loss and percolation time are concentrated along the Second and Third Ring Expressway and in the south and southwest areas. The resilience of the urban center area is more potent. The time of the response process is twice that of the recovery process. The above results could help managers and decision-makers have a comprehensive and clear understanding of the transportation resilience and have practical significance for constructing a sustainable urban transportation system.

285 Psoriasis resolution in challenging body areas with ixekizumab: Response trajectories by patient profile clusters over time

To identify patients that benefit most from ixekizumab (IXE), unsupervised machine learning applied to Psoriasis Area and Severity Index (PASI) improvement was used to define IXE-response clusters in patients with psoriasis. Using these identified clusters based on PASI, responses in challenging body areas (CBA) as well as in Static Physicians Global Assessment (sPGA) were assessed through 52 weeks. These analyses included patients treated with on-label doses of IXE pooled from two Phase 3 clinical trials, UNCOVER-31 and IXORA-S2 .Response trajectories over 52 weeks were summarized for sPGA(0,1)/sPGA(0); CBA areas of Nail Psoriasis Severity Index 0 [NAPSI(0)], Psoriasis Scalp Severity Index 0 [PSSI(0)], and Palmoplantar Psoriasis Area and Severity Index 100 [PPASI(100)].

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

Novel continuous learning scheme for online static security assessment based on the weather‐dependent security index

The education passport: connecting programmatic assessment across learning and practice.

Competency-based medical education (CBME) shifts us from static assessment of learning to developmental assessment for learning. However, implementation challenges associated with CBME remain a major hurdle, especially after training and into practice. The full benefit of developmental assessment for learning over time requires collaboration, cooperation, and trust among learners, regulators, and the public that transcends each individual phase. The authors introduce the concept of an “Education Passport” that provides evidence of readiness to travel across the boundaries between undergraduate medical education, graduate medical education, and the expanse of practice.The Education Passport uses programmatic assessment, a process of collecting numerous low stakes assessments from multiple sources over time, judging these data using criterion-referencing, and enhancing this with coaching and competency committees to understand, process, and accelerate growth without end. Information in the Passport is housed on a cloud-based server controlled by the student/physician over the course of training and practice. These data are mapped to various educational frameworks such Entrustable Professional Activities or milestones for ease of longitudinal performance tracking. At each stage of education and practice the student/physician grants Passport access to all entities that can provide data on performance. Database managers use learning analytics to connect and display information over time that are then used by the student/physician, their assigned or chosen coaches, and review committees to maintain or improve performance. Global information is also collected and analyzed to improve the entire system of learning and care.Developing a true continuum that embraces performance and growth will be a long-term adaptive challenge across many organizations and jurisdictions and will require coordination from regulatory and national agencies. An Education Passport could also serve as an organizing tool and will require research and high-value communication strategies to maximize public trust in the work.

Dynamic Assessment of Word Learning to Diagnose Developmental Language Disorder in French-Speaking Monolingual and Bilingual Children

Dynamic assessment (DA), which evaluates the learning process rather than static knowledge, has been found to be effective in diagnosing developmental language disorder (DLD) in English-speaking bilingual children. We present three studies that examine whether a French dynamic word learning task can distinguish caseload children with DLD from control children with typical development (TD). Forty-eight monolingual and 69 bilingual French-speaking children, aged four to nine, were required to learn three to six non-words and their semantic characteristics. DA consisted of three phases: (1) a teaching phase in which non-words were taught to the child; (2) an immediate test phase, with graduated prompts, in which children were required to identify and produce the target words and their semantic features; and (3) a delayed test phase. Global results indicated that there were no differences between monolingual and bilingual TD children on the DA whereas there were differences on the static assessment of vocabulary knowledge: bilinguals performed less well than monolinguals. In addition, DA differentiated control and caseload monolingual children. Further work is needed to develop a dynamic word learning task, administered in one session, which can even more accurately differentiate TD and DLD bilingual children.

Deucravacitinib versus placebo and apremilast in moderate to severe plaque psoriasis: Efficacy and safety results from the 52-week, randomized, double-blinded, placebo-controlled phase 3 POETYK PSO-1 trial

Effective, well-tolerated oral psoriasis treatments are needed. To compare the efficacy and safety of deucravacitinib, an oral, selective, allosteric tyrosine kinase 2 inhibitor, versus placebo and apremilast in adults with moderate to severe plaque psoriasis. Participants were randomized 2:1:1 to deucravacitinib 6mg every day (n=332), placebo (n=166), or apremilast 30mg twice a day (n=168) in the 52-week, double-blinded, phase 3 POETYK PSO-1 trial (NCT03624127). Coprimary end points included response rates for ≥75% reduction from baseline in Psoriasis Area and Severity Index (PASI 75) and static Physician's Global Assessment score of 0 or 1 (sPGA 0/1) with deucravacitinib versus placebo at week 16. At week 16, response rates were significantly higher with deucravacitinib versus placebo or apremilast for PASI 75 (194 [58.4%] vs 21 [12.7%] vs 59 [35.1%]; P<.0001) and sPGA 0/1 (178 [53.6%] vs 12 [7.2%] vs 54 [32.1%]; P<.0001). Efficacy improved beyond week 16 and was maintained through week 52. Adverse event rates with deucravacitinib were similar to those with placebo and apremilast. One-year duration, limited racial diversity. Deucravacitinib was superior to placebo and apremilast across multiple efficacy endpointsand was well tolerated in moderate to severe plaque psoriasis.

Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults.

Ageing incurs a natural decline of postural control which has been linked to an increased risk of falling. Accurate balance assessment is important in identifying postural instability and informing targeted interventions to prevent falls in older adults. Inertial sensor (IMU) technology offers a low-cost means for objective quantification of human movement. This paper describes two studies carried out to advance the use of IMU-based balance assessments in older adults. Study 1 (N = 39) presents the development of two new IMU-derived balance measures. Study 2 (N = 248) reports a reliability analysis of IMU postural stability measures and validates the novel balance measures through comparison with clinical scales. We also report a statistical fall risk estimation algorithm based on IMU data captured during static balance assessments alongside a method of improving this fall risk estimate by incorporating standard clinical fall risk factor data. Results suggest that both new balance measures are sensitive to balance deficits captured by the Berg Balance Scale (BBS) and Timed Up and Go test. Results obtained from the fall risk classifier models suggest they are more accurate (67.9%) at estimating fall risk status than a model based on BBS (59.2%). While the accuracies of the reported models are lower than others reported in the literature, the simplicity of the assessment makes it a potentially useful screening tool for balance impairments and falls risk. The algorithms presented in this paper may be suitable for implementation on a smartphone and could facilitate unsupervised assessment in the home.

Use of Filters to Smooth Out Signals Collected through Mobile Devices in the Static and Dynamic Balance Assessment: A Systematic Review

Background: When performing motion analysis using sensors, the signal often comes with noise and it is necessary to use filters to exclude unwanted frequencies. For this reason, the objective of this work was to carry out a systematic review on the filters used in data recorded from smartphone applications for static and dynamic balance assessment. Methods: A systematic literature review was performed on the PubMed, ScienceDirect, Scopus, Technology Research and Web of Science databases, using the search strategy: smartphone, “mobile technology”, evaluation, “postural stability”, and balance. Results: 427 articles were found (PubMed = 107; ScienceDirect = 67; Scopus = 106; Web of Science = 95; Technology research database = 52). After applying the inclusion criteria and removing duplicates, nine studies were eligible for this review. In these studies, the fourth-order Butterworth low-pass filter was the most applied (N = 6) and the cutoff frequency of 4 Hz (N = 2) was the most frequent. Conclusions: In general, few studies have adequately described the filter used in signal processing. This step, when hidden, negatively affects the reproducibility of studies. Understanding and describing the signal processing is important not only for the correct description of the results but also for the reproducibility of the studies.

Comparison of embryo implantation potential between time-lapse incubators and standard incubators: a randomized controlled study

Research questionWhat are the potential clinical benefits of embryo culture and assessment in a time-lapse incubator compared with a standard incubator using static assessment? DesignThis large multicentre, single-blinded, randomized controlled study included 1224 participants randomly assigned (1:1) to the time-lapse or standard incubator group. In all patients one or two embryos were transferred on day 3. The primary outcome was the implantation rate in the first embryo transfer cycle. Secondary outcomes included the cumulative implantation rate, live birth rate in the first embryo transfer cycle and cumulative live birth rate. ResultsAmong 1224 participants recruited, 1182 underwent embryo transfer. The number of successfully implanted embryos in the first transfer cycle was significantly higher in the time-lapse incubator group (time-lapse group: 52.35%, standard incubator group: 47.11%, P = 0.014). The implantation rate in the first embryo transfer cycle was still significantly higher in the time-lapse group than the standard incubator group after adjusting for age, body mass index, medical centre and embryo status (relative risk 1.11, 95% confidence interval 1.02–1.20, P = 0.020). However, the cumulative implantation rate, live birth rate in the first embryo transfer cycle and cumulative live birth rate were not statistically different between the groups. ConclusionsThe implantation rate in the first embryo transfer cycle was significantly improved in the time-lapse group, but the effect of the time-lapse system on the cumulative implantation rate or cumulative live birth rate was not significant. The embryo assessment method offered by time-lapse systems rather than an undisturbed environment may play an important role in improving the implantation rate in the first embryo transfer cycle. These results are only applicable to young patients.

Hydrocotyle vulgaris derived novel biochar beads for phosphorus removal: static and dynamic adsorption assessment

As a promising adsorbent, the recovery and reuse of biochar was limited due to its light texture and poor precipitation characteristics. Herein, recyclable biochar beads (MBCB) were successfully prepared by compositing Hydrocotyle vulgaris derived biochar (HBC) and sodium alginate (SA) for phosphorus (P) adsorption from wastewater. The as-prepared MBCB showed high adsorption capacity for P, reaching 255.88 mg/g. Based on the analysis of equilibrium, kinetic and thermodynamics models, it can be concluded that the adsorption behavior of P by MBCB was spontaneous and exothermic, which was dominated by monolayer and non-uniform surface adsorption, and contains multiple physical and chemical mechanisms. Both Thomas and Yoon-Nelson models are well fitted to describe the dynamic adsorption behavior of MBCB in the column adsorption tests. After five adsorption-desorption cycles, the removal efficiencies of P by MBCB still remained 87.06% and 84.06%, respectively. Overall, this study provides a recyclable and promising adsorbent for removing P from wastewater.

Intelligent robust malware detection by implementing deep learning

Malicious software (ransom ware) cyber attacks in frequency and severity, posing an increasingly serious threat to computer systems everywhere. Malware detection is a hot study area as several multiple computers, organisations, and governments have been affected by an exponential rise in malware attacks. Dynamic and static assessment of malicious characteristics and behaviour patterns is time expensive and useless in real-time malware detection, according to current technologies. It is becoming increasingly common for malicious apps to use polymorphic and adaptive techniques to rapidly modify their behaviour and develop a number of new malicious apps. In order to undertake an effective malware analysis, machine learning techniques (MLAs) are increasingly being used to create new malware varieties. This approach is time-consuming since it requires considerable feature engineering, learning and representation of features. Moreover the feature extraction process could be effectively eliminated by using advanced MLAs like deep learning. These methods have been shown to perform better with a biased training dataset, which restricts their practical application in real-time scenarios. A new improved approach for successful zero-day malware detection must be developed in order to eliminate biases and analyze these approaches autonomously.

N-1 static security assessment method for power grids with high penetration rate of renewable energy generation

A new N-1 static security assessment method based on deep convolutional neural network (DCNN) for the power grid with a high penetration rate of renewable energy generation is proposed in this paper. First, to generate realistic wind and solar scenarios for better training of DCNN, we built a dual discriminator generative adversarial network (D2GAN). Second, a DCNN for calculating the N-1 static security index of the power grid was built. The inputs are operating conditions constructed by the generated wind and solar power scenarios and the line outages, and the output is the corresponding N-1 static security index. Finally, the numerical experimental results based on the historical wind and solar power shows that the scenarios generated by D2GAN fit the real scenarios better than the scenarios generated by the commonly used Monte Carlo (MC) method. And the numerical results of applying the proposed approach to IEEE 14-bus, 30-bus and 118-bus test system demonstrate its effectiveness for N-1 contingency analysis. In terms of accuracy and computation speed, the comparison with traditional method based on load flow analysis, the ANN, and the DCNN trained with the scenarios generated by MC indicate that the proposed model is reliable and more efficient.