Developing a hybrid technique for energy demand forecasting based on optimized improved SVM by the boosted multi-verse optimizer: Investigation on affecting factors.

Electricity demand prediction accuracy is crucial for operational energy resource management and strategy. In this study, we provide a multi-form model for electricity demand prediction in China that based on incorporating of an upgraded Support Vector Machine (SVM) and a Boosted Multi-Verse Optimizer (BMVO). The suggested model is proposed to address the shortcomings of existing prediction approaches, which frequently fail to internment the complicated nonlinear interactions between demand for electricity and the variables that influence it. The improved SVM algorithm incorporates a modified genetic algorithm based on kernel function for enhancing the stability of the model. The BMVO technique is employed to optimize the combined model's weights and increase its generalization effectiveness. The suggested approach is tested by real-world Chinese energy demand data. The findings show that it outperforms existing prediction approaches in terms of reliability and precision. Further, the number of samples chosen affects how well the proposed BMVO linked with the Incremental SVM (ISVM) predicts outcomes. Particularly, when 1735 samples are chosen, the lowest level of Mean Absolute Percent Error (MAPE) was noted. The Root Mean Square Error (RMSE) and MAPE values under the proposed BMVO/ISVM model are reduced by 53.72% and 55.22%, respectively, compared to the Artificial Neural Network (ANN) approach reported in literature. Finally, the suggested model is capable of accurately predicting the electricity demand in China and has the potential to be applied to other energy-demand prediction applications.

Proximal optimization technique and percutaneous coronary intervention for left main disease: POTENTIAL-LM.

BACKGROUND: Optimal stent deployment in left main (LM) bifurcation is paramount, and incomplete stent apposition may cause major adverse cardiac events (MACE). Bench studies show that the proximal optimization technique (POT) provides the best stent apposition. AIMS: We aimed to investigate the impact of POT on clinical outcomes in patients treated for unprotected LM (ULM) disease at our institution. METHODS: We identified 162 patients who underwent percutaneous coronary intervention (PCI) for ULM coronary disease in the Cardio-FR database. Out of these, 99 (61%) had undergone POT, while 63 patients were treated without POT. The primary outcome was the bifurcation-oriented composite endpoint (BOCE) of cardiac death, target-bifurcation myocardial infarction and target-bifurcation revascularization at maximal follow-up. RESULTS: Mean age was 76 years, and 69% presented with acute coronary syndrome. Mean follow-up was 2.25 years (822 days). The BOCE occurred in 43 (27%) of which 20 (20%) in the POT group and 23 (37%) in the no-POT group (p = 0.009). Cardiac death occurred in 15 (15%) patients in the POT- and 17 (27%) in no-POT group (p = 0.26). Target bifurcation revascularization occurred in 4 (4%) patients in the POT- and 6 (10%) patients in the no-POT group (p = 0.19). POT In the multivariate analysis, POT was the strongest parameter and was associated with BOCE, cardiac death, occurrence of any revascularization and all-cause mortality. CONCLUSION: The POT improves clinical outcomes. These findings strongly support the systematic use of POT in patients undergoing ULM-PCI.

One year results of coronary bifurcation revascularization with the re-POT provisional sequential technique. The CABRIOLET registry.

BACKGROUND: Re-POT (proximal optimization technique (POT)) is a simple provisional sequential technique for percutaneous coronary bifurcation revascularization with better arterial geometry respect compared to classical techniques. Re-POT has demonstrated excellent mechanical and short-term clinical results. The multicenter CABRIOLET registry (NCT03550196) evaluate the long-term clinical benefit of the re-POT sequence in non-selected patients. METHODS: All consecutive patients presenting a coronary bifurcation lesion for which provisional stenting was indicated were included in 5 european centers. Re-POT strategy was systematically attempted. The primary endpoint was target lesion failure (TLF), comprising cardiac death, myocardial infarction, stent thrombosis and target lesion revascularization (TLR) at 12 months' follow-up. The secondary endpoints were the individual components of the primary endpoint, all-cause death, target vessel failure (TVF) and target vessel revascularization (TVR). Complex bifurcation was defined as Medina 0.1.1 or 1.1.1. RESULTS: A total of 500 patients aged 67.7 ± 11.7 years, 78.4% male, were included from 2015 to 2019, 174 of whom (34.8%) were considered having complex bifurcation lesions. Bifurcations involved the left main in 35.2% of cases. The full re-POT sequence was systematically performed in all cases. At 1 year, TLF was 2.0% (1.7% in complex vs. 2.1% in non-complex bifurcation; p = NS), and TLR was 1.6%, (1.1% vs. 1.8% respectively; p = NS). TVF and TVR rates were 3.2% and 2.8%. On multivariate analysis, only multivessel disease was predictive of TLF at 1 year (OR = 1.66 (1.09-2.53), p = 0.02). CONCLUSIONS: In this large prospective all-comer registry, provisional stenting with re-POT technique appeared safe and effective at 1 year, without anatomical bifurcation restriction.

An improved linear prediction evolution algorithm based on topological opposition-based learning for optimization.

Prediction-based evolutionary algorithm is one of the emerging category of meta-heuristic optimization techniques. The improved linear prediction evolution algorithm (ILPE) is a recently developed meta-heuristic optimization technique that draws inspiration from non-linear least-square fitting models. This article implements the concept of topological opposition-based learning, which was first applied in grey prediction evolutionary algorithms to the ILPE. In traditional evolutionary algorithms, after employing the mutation and crossover operator, it generates trial populations. The proposed algorithm constructs a new reproduction operator using the non-linear least square fitting model with topological opposition-based learning to generate trial individuals. This reproduction operator considers the population series as a time series and uses the topological opposition-based non-linear least square fitting model to predict the next generation of populations. The efficiency and accuracy of the algorithm are demonstrated through numerical experiments on CEC2014 and CEC2017 benchmark functions. The results of these experiments show that the proposed algorithm is highly effective in solving optimization problems.•An improved linear prediction evolution algorithm based on topological opposition based learning (TILPE) is proposed.•The proposed strategy treat the the population series as a time series.•To validate the efficacy of TILPE, CEC2014 and CEC2017 benchmark functions are used.

Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke.

Ischemic stroke, a severe medical condition triggered by a blockage of blood flow to the brain, leads to cell death and serious health complications. One key challenge in this field is accurately predicting infarction growth - the progressive expansion of damaged brain tissue post-stroke. Recent advancements in artificial intelligence (AI) have improved this prediction, offering crucial insights into the progression dynamics of ischemic stroke. One such promising technique, the Adaptive Neuro-Fuzzy Inference System (ANFIS), has shown potential, but it faces the 'curse of dimensionality' and long training times as the number of features increased. This paper introduces an innovative, automatic method that combines Binary Particle Swarm Optimization (BPSO) with ANFIS architecture, achieves reduction in dimensionality by reducing the number of rules and training time. By analyzing the Pearson correlation coefficients and P-values, we selected clinically relevant features strongly correlated with the Infarction Growth Rate (IGR II), extracted after one CT scan. We compared our model's performance with conventional ANFIS and other machine learning techniques, including Support Vector Regressor (SVR), shallow Neural Networks, and Linear Regression. •Inputs: Real data about ischemic stroke represented by clinically relevant features.•Output: An innovative model for more accurate and efficient prediction of the second infarction growth after the first CT scan.•Results: The model achieved commendable statistical metrics, which include a Root Mean Square Error of 0.091, a Mean Squared Error of 0.0086, a Mean Absolute Error of 0.064, and a Cosine distance of 0.074.

Optimum reservoir operation of a networking reservoirs system using conditional atom search optimization and a conditional genetic algorithm.

This study aimed to apply conditional atom search optimization (CASO) for searching optimum rule curves in a networking reservoirs system with a reservoir simulation model. The networking reservoirs system consisted of 5 reservoirs located in Sakon Nakhon Province, Thailand. The efficiency of the new optimum rule curves was determined by comparison of operating systems between a single reservoir and a networking reservoirs system. The results displayed circumstances of scarcity and excess of water. Where the circumstances of scarcity are frequency and duration. Whilst, excesses of water are average water and the highest water. In addition, the efficiency of searching for optimum rule curves was compared between conditional genetic algorithm (CGA) and CASO techniques. The new optimum rule curves from the networking reservoirs system had an average excess water of 43.828 MCM/year. This average excess water was less than that found for optimum curves from the single system in which the average excess of water was 45.602 MCM/year. CASO was more efficient in converging optimum rule curve solutions faster than CGA by 40.00%. In conclusion, the CASO can be used to search for optimum networking reservoirs rule curve solutions effectively. For the networking reservoirs system derived water from the upstream reservoirs, an analysis was performed of the downstream reservoir. The results showed that the optimum rule curves using CASO operated as a networking reservoirs system provided higher efficiency than a single reservoir system. In addition, they reduced the amount of time that water exceeded the river capacity at a downstream weir by one month compared with the original period of two months.

Proximal Optimization Technique with an Ultra-Short Balloon as a Bailout Strategy for Stent Protrusion into the Left Main Trunk.

A 64-year-old man presented with ST-elevation myocardial infarction. Emergent coronary angiography revealed severe stenosis at the proximal left anterior descending artery (LAD). A drug-eluting stent was deployed to land the stent's proximal edge on the LAD ostium. However, intravascular ultrasound (IVUS) after stent placement detected a slight stent protrusion from the LAD into the left main trunk (LMT), and the left circumflex artery (LCX) ostium was jailed by stent struts. We decided to perform the proximal optimization technique (POT) using an ultra-short balloon (4 mm in length) on the proximal site of the stent in the hope of dilating jailed struts at the LCX ostium and expanding malapposed struts at the LMT without proximal edge dissection. IVUS after POT confirmed a well-enlarged stent cell at the ostial LCX and adequate stent apposition at the LMT. Angiography showed preserved LCX circulation. At one-year follow-up, angiography showed no in-stent restenosis or LCX ostial stenosis. Optical coherence tomography showed remarkable expansion of the stent struts at the LCX ostium without any restenosis. A single POT with an ultra-short balloon could be a potential bailout strategy in the treatment of coronary bifurcation lesions with slight stent protrusion into the proximal main vessel.

Single document text summarization addressed with a cat swarm optimization approach.

The availability of a tremendous amount of online information bringing about a broad interest in extracting relevant information in a compact and meaningful way, prompted the need for automatic text summarization. Hence, in the proposed system, the automated text summarization has been considered as an extractive single-document summarization problem, and a Cat Swarm Optimization (CSO) algorithm-based approach is proposed to solve it, whose objective is to generate good summaries in terms of content coverage, informative, anti-redundancy, and readability. In this work, input documents are pre-processed first. Then the cat population is initialized, where each individual (cat) in a binary vector is randomly initialized in the search space, considering the constraint. The objective function is then formulated considering different sentence quality measures. The Best Cat Memory Pool (BCMP) is initialized based on the objective function score. After that, individuals are randomly distributed for position updating to perform seeking/tracing mode operations based on the mixture ratio in each iteration. BCMP is also updated accordingly. Finally, an optimal individual is chosen to generate the summary after the last iteration. DUC-2001 and DUC-2002 data sets and ROUGE measures are used for system evaluation, and the obtained results are compared with the various state-of-the-art methods. We have achieved approximately 25% and 5% improvement on ROUGE-1 and ROUGE-2 scores on the datasets over the best existing method mentioned in this paper, revealing the proposed method's superiority. The proposed system is also evaluated considering the generational distance, CPU processing time, cohesion, and readability factor, reflecting that the system-generated summaries are readable, concise, relevant, and fast. We have also conducted a two-sample t-test, and one-way ANOVA test showing the proposed approach is statistically significant.

Ranking and selection of dental restorative composite materials using FAHP-FTOPSIS technique: An application of multi criteria decision making technique.

In the present investigation, the optimal formulations of dental restorative composite materials were designed using hybrid FAHP (Fuzzy Analytic Hierarchy Process)-FTOPSIS (Fuzzy Technique for Order of Preference by Similarity to Ideal Solution) methodology of statistical techniques. The dental composite was composed of an organic matrix and different types and ratios of inorganic filler. The various performance defining attributes (PDAs) such as compressive strength, flexural strength, depth of cure, and polymerization shrinkage were taken into account to evaluate the optimal formulation of dental restorative composite materials. The weight criteria of PDAs was evaluated by the FAHP; PDA-1 (0.084, 0.083, 0.083), PDA-2 (0.084, 0.095, 0.102), PDA-3 (0.079, 0.097, 0.110), PDA-4 (0.084, 0.108, 0.124), PDA-5 (0.084, 0.091, 0.093), PDA-6 (0.062, 0.083, 0.113), PDA-7 (0.070, 0.081, 0.098), PDA-8 (0.058, 0.071, 0.090), PDA-9 (0.073, 0.074, 0.092), PDA-10 (0.070, 0.076, 0.089), and PDA-11 (0.157, 0.135, 0.098), respectively. The FTOPSIS is used to determine the rank of alternatives as DHZ4 > DHZ8 > DHZ0 > DHZ6 > DHZ2. The Hybrid FAHP-FTOPSIS technique was significant in ranking analysis of different dental restorative composite materials under conflicting PDAs.

Vascular healing after kissing balloon inflation: Nine-month 3D optical coherence tomography analysis in corelab.

Background: The jailing strut configuration with link-free and distal guidewire recrossing (LFD) at the side branch orifice (SBO) reduces incomplete stent apposition (ISA) after kissing balloon technique (KBT) in crossover stenting of coronary bifurcation lesions (CBLs). However, data regarding vascular healing after KBT are lacking. We investigated vascular healing 9 months after crossover stenting followed by KBT with optical coherence tomography (OCT) guidance in a prospective multicenter registry. Methods: Fifty-nine patients with CBLs (LFD, 35 patients; non-LFD, 24 patients) were studied. The jailing configuration of the SB and the wire-recrossing position, incidence of ISA and uncovered struts, and neointima unevenness score (NUS) in the main vessel (MV) after 9 months were determined by off-line 3D-OCT in the core laboratory. Results: The ISA rate was significantly higher at the SB ostium and distal MV after KBT in the non-LFD group, compared to the LFD group. After 9 months, incidence of ISA (18.3 ± 18.2 vs. 6.0 ± 8.7%, p < 0.01) and uncovered struts (8.7 ± 9.9 vs. 4.7 ± 7.3 %, p = 0.08) were higher at the SB ostium with higher SB restenosis in the non-LFD group. In distal MV, NUS was significantly higher (3.1 ± 1.1 vs. 2.5 ± 0.6, p < 0.05). In true-CBLs, an increase in uncovered struts and ISA rate was prominent in the proximal MV and opposite SB. No differences were observed in the 9-month clinical outcomes. Conclusion: Visualization of the wire recrossing point and the SB-jailing strut pattern by OCT plays an important role to optimize the KBT in CBL stenting, resulting in favorable mid-term vascular healing.

A Novel Strategy to Simplify the Procedures in Treating Complicated Coronary Bifurcation Lesions: From a Bench Test to Clinical Application.

Background: Although provisional stenting strategy based on jailed balloon side branch (SB) protection could be useful for high-risk bifurcation lesion in certain clinical scenarios, its complexity still gives rise to procedure complications. We proposed a novel strategy, the jailed balloon proximal optimization technique (JB-POT), to simplify the procedures in treating complex coronary bifurcation lesions (CBLs). The present study was designed to verify the safety and efficacy of JB-POT under bench testing and clinical circumstances. Methods: After a stent was deployed in main vessel (MV) with a balloon jailed in SB, POT and post-dilation of the stent were performed without retrieving the jailed balloon. A re-POT was performed 2 mm away from SB branching point to minimize proximal stent malapposition. The JB-POT procedure was performed on 10 samples of a silicone bifurcation bench model, and optical coherence tomography (OCT) was utilized to evaluate stent deployment. From December 2018 to July 2021, a total of 28 consecutive patients with true CBLs treated with JB-POT were enrolled. Immediate procedure results were observed, and clinical follow-ups were performed. Results: The bench test showed that JB-POT did not induce significant stent malapposition, underexpansion or distortion, as indexed by the malapposition rate, minimum stent area (MSA), eccentricity index and symmetry index determined through OCT. Under clinical circumstances, JB-POT did not induce significant malapposition, underexpansion or distortion. Among the 30 lesions, there was no primary endpoint event defined as SB occlusion, need to rewire the SB with a polymer-covered guide wire, or failure to retrieve a jailed wire or balloon. One rewiring event and 0 double stenting events occurred as secondary endpoint events. One patient died of heart failure in the 8th month after discharge. Conclusions: The JB-POT protocol, which tremendously simplifies the current standard provisional stenting procedure in complicated bifurcation lesions, shows acceptability in safety and efficacy. Hence, it might become an applicable strategy for treating high-risk bifurcation lesions, especially those with multiple risked SBs.

Optimization and Quest of HPMC loaded Stavudine Controlled Release Dosage Development by Central Composite Design utilizing Reduced Factorial Screening Technique

Abstract The current research focused on screening and finding the significant independent variables in stavudine loaded tablet, followed by optimizing the best formulation using central composite design. The objective of the study to develop stavudine loaded controlled release tablet utilizing reduced factorial design, followed by optimization technique as well as characterization of prepared tablets. Preliminary trial batches were prepared using different grades of hydroxypropyl methylcellulose. The resolution-IV reduced factorial design was selected to screen the significant independent variables in the dosage form design. A total number of eight runs were prepared and responses were recorded. The signified factors identified by half-normal and Pareto chart. The prepared tablets are evaluated for various physiochemical characterizations. Three dependent responses such as hardness, dissolution at 6 hour and 12 hours are considered in optimization process. Later on, drug-polymer interaction study was carried out. The principal of the study design based on finding the best formulation with prefixed set parameter values utilizing the concept of screening technique. It observed that HPMC K15M (57.18 %), HPMC K100 (66.32 %) and PVP K30 (7.97 %) as best composition in a formulation batch would fulfill the predetermined parameter with specific values.

Influence of balloon location during proximal optimization technique (POT): A finite element analysis.

Proximal Optimization Technique (POT)is a post-expansion technique that must be completed after single-stent implantation for the coronary bifurcation. The optimal location for the distal balloon shoulder during POT remains debatable. In the present study, the finite element method is applied to simulate POT after single-stent implantation in the coronary bifurcation. Three different balloon locations based on the distal shoulder relative to the carina cut plane were analyzed: 1) "proximal":1mm before carina cut plane; 2) "standard": at the carina cut plane; and 3) "distal": 1 mm after the carina cut plane. The computational results showed differences in stent, vessel morphology, and vessel wall stress due to the different balloon locations. However, when distal balloon shoulder was located between two adjacent stent rings, it formed the distal cell of the stent, the best stent apposition, least stent structs obstruction at SB ostial. Moreover, best opening effect of distal cell of the stent can be achieved, with the least damage to the vessel wall.

POT-sideDCB-POT: A novel technique for treating coronary bifurcation lesions.

The rePOT technique is a novel and easily applied approach for coronary bifurcations. Drug-Coated Balloon (DCB) angioplasty is increasingly being utilized in management of small vessels and coronary bifurcation lesions. Herein, we propose a new approach for treating coronary bifurcation lesions with the application of DCB to treat the side-branch in addition to the rePOT technique: the POT-sideDCB-POT technique.

Toward a sequential provisional coronary bifurcation stenting technique. From kissing balloon to re-POT sequence.

The specific anatomy of coronary bifurcations makes them prime sites of atherogenesis and complicates revascularization. Account must be taken of the systematic difference in diameter between the 3 constituent vessels so as to minimize final side-branch ostium obstruction and maintain the law of conservation of flow, while respecting the bifurcation angles. Kissing balloon inflation (KBI) was long recommended, but never clearly demonstrated clinical benefit in single-stent provisional stenting. The detrimental proximal overstretch induced by simultaneous inflation of balloons, observed clinically and confirmed experimentally, probably explains this inefficacy. Advances in knowledge of bifurcation pathophysiology and experimental bench studies gradually led to the development of a new purely sequential technique, re-POT, without balloon juxtaposition, comprising 3 successive steps: (1) initial "proximal optimization technique" (POT), (2) side-branch opening, and (3) final POT. In contrast to KBI, re-POT has been progressively assessed from bench to first clinical study. The aim of the present review is to present the pathophysiological specificities of coronary bifurcations, and some explanations for the failure of KBI which led to the development of a new purely sequential coronary bifurcation provisional stenting strategy, based on re-POT.

Sequential coronary bifurcation revascularization with the Xposition S™ self-apposing stent: a comparative fractal bench study.

Coronary bifurcation revascularization needs to take account of the diameter differential between vessels and to limit side-branch obstruction (SBO). The self-apposing properties of the Xposition S™ stent (STENTYS, France) seem interesting in this regard. The present experimental fractal bench study determined the best provisional stenting technique using Xposition S™. Three sequential strategies were compared (n = 5/group): implantation alone, side-branch inflation (SBI), and re-POT (initial proximal optimization technique (POT) + SBI + final POT). 2D- and 3D-OCT analyses and micro-CT scan were performed to quantify the main mechanical results at each step. Of the three groups, SBI and re-POT provided better final results than implantation alone in terms of residual SBO (respectively, 24.6 ± 5.6% and 24.8 ± 5.0% vs. 46.5 ± 10.3%, p < 0.05) and malapposition (respectively, 0.9 ± 0.6% and 0.8 ± 0.4% vs. 3.8 ± 1.9%, p < 0.05). Unlike SBI, the two POTs of the re-POT sequence did not improve the final result. SBI, alone or as part of re-POT, systematically led to one connector breakage, whereas implantation alone maintained complete stent integrity (p < 0.05). In Xposition S™ implantation, SBI should be systematic, but not post-dilatation specifically dedicated to bifurcation stenting (i.e., POTs). However, global post-dilatation is still mandatory to prevent stent underexpansion due to untreated stenosis.

Pressure-Pair-Based Floor Localization System Using Barometric Sensors on Smartphones.

As smartphone technology advances and its market penetration increases, indoor positioning for smartphone users is becoming an increasingly important issue. Floor localization is especially critical to indoor positioning techniques. Numerous research efforts have been proposed for improving the floor localization accuracy using information from barometers, accelerometers, Bluetooth Low Energy (BLE), and Wi-Fi signals. Despite these existing efforts, no approach has been able to determine what floor smartphone users are on with near 100% accuracy. To address this problem, we present a novel pressure-pair based method called FloorPair, which offers near 100% accurate floor localization. The rationale of FloorPair is to construct a relative pressure map using highly accurate relative pressure values from smartphones with two novel features: first, we marginalized the uncertainty from sensor drifts and unreliable absolute pressure values of barometers by paring the pressure values of two floors, and second, we maintained high accuracy over time by applying an iterative optimization method, making our method sustainable. We evaluated the validity of the FloorPair approach by conducting extensive field experiments in various types of buildings to show that FloorPair is an accurate and sustainable floor localization method.

A Clinical Support System for Brain Tumor Classification Using Soft Computing Techniques.

A brain tumor is an accumulation of abnormal cells in human brain. As tumor increases in size, it induces brain damage. Hence it is essential to diagnose the type of brain tumor. The effective modality used for brain tumor diagnose is MRI because of its remarkable image resolution, the speed of acquisition, and high safety profile for patients. The analysis of brain MRI is an important part of patient care and decision. Hence in the proposed Clinical Support System, the brain MRI image is preprocessed using Genetic Optimized Median Filter followed by brain tumor region segmentation using Hierarchical Fuzzy Clustering Algorithm. The features of the tumor region are extracted through GLCM feature extraction method. Lion Optimized Boosting Support Vector machine model is used for further classification of tumor by Brain Tumor Image Segmentation (BraTS) dataset. Hence the proposed clinical support system provides an integrated model for Detection and classification of brain tumor which assists the doctors in appropriate evaluation of tumor.