Crossover Approach Research Articles

WITHDRAWN: Surface roughness modelling in wire EDM machining aluminium of Al6061 composite by ANFIS

Abstract This research aims to analyze the impact of wire electrical discharge machining factors on execution parameters to improve the usefulness with a higher surface finish of Al6061/SiC/Graphite composite by utilizing the artificial intelligent strategy. In this trial examination, the adaptive network based fuzzy inference system (ANFIS) model has been profoundly evolved and the multi-parametric improvement has been done to track down the ideal answer for the machining of Al6061/SiC/Graphite composite. Factors like heartbeat on schedule, beat off time, current and wire speed were chosen set up the exhibition qualities of WEDM like surface unpleasantness. Central composite Design (CCD) of response surface methodology (RSM) is utilized to dissect the impacts of huge machining parameters on the exhibition attributes. The surface finish was considered as output reactions. The effect on machining execution has been broke down by the ANFIS model and the created model was approved with the full factorial relapse models. The created models showed the base mean rate blunder and this technique showed the significant improvement simultaneously. The ANFIS model forecast made with Trapezoid participation type 1.67 % given the normal error rate. The qualities anticipated by the created model are contrasted and the trial esteems and it is uncovered that there is a relationship among the exploratory qualities and the anticipated qualities which are from the created ANFIS model. At last, it has additionally affirmed that the technique for crossover RSM and ANFIS approach is a viable answer for streamlining.

The impact of using surgical masks and non-masks when exercising on heart rate, calories and VO2max during the Covid-19 pandemic

The use of surgical masks during exercise is still a matter of controversy. Thus the aim of this study was to see the effect of using surgical masks and non masks on heart rate, VO2max and calories during exercise. This study used a quasi-experimental method with a posttest-only crossover design approach. The instrument used in this study was the VO2max test using the Cooper Test (running as far as 2.4 km). The total subjects were 12 healthy men with a mean age of 19.87 ± 1.24 years; height, 166.81 ± 6.31 cm; and weight, 56.30 ± 3.79 kg; BMI, 20.06 ± 0.95 kg / m-2. The results showed that the use of masks during aerobic endurance exercise had no effect on heart rate and VO2max, a significant difference occurred in energy expenditure which included the number of calories while using surgical masks (p = 0.001). Aerobic exercise using a surgical mask and without the use of a mask is safe and possible. Despite the fact that wearing a mask when exercising is a little uncomfortable, the use of a surgical mask has only a small effect on physiological parameters during exercise

Aerobic Capacity Response and Hematological Profile during Performing Physical Activity at Two Public Sport Venues with Different Air Pollution Concentrations

The aim of this study was to evaluate the effect of exercise on aerobic capacity and hematological profile of amateur futsal athletes at two public sport venues having the same climatic characteristics with different air pollution concentrations. The method used in this study was a quasi experimental method with a post-test only crossover design approach. Subjects of the study were 15 futsal athletes from futsal clubs in Bandung city. The mean (SD) of age, weight, height, and BMI of the participants were 18.73 ± 1.7 years, 55.29 ± 3.0 Kg, 165.90 ± 2.6 cm, and 19.90 ± 0.8 Kg / m2. The results of this study indicated that a high amount of air pollution could significantly inhibit the increase of VO2max (p = 0.043) and hemoglobin (p = 0.023) and could significantly increase white blood cells (p = 0.042 leukocytes). The findings of this study provide evidence that air pollution can have a negative effect on the hematological profile of futsal athletes. Thus, the athlete and coach should consider the level of air pollution around the venue before doing exercise. It should be anticipated because, basically, exercising can increase the rate of air ventilation in the respiratory system so that it can cause air pollution, such as PM2.5 and PM10, entering the lungs and even the alveoli.

Rotated majority gate-based 2n-bit full adder design in quantum-dot cellular automata nanotechnology

PurposeIn nano-scale-based very large scale integration technology, quantum-dot cellular automata (QCA) is considered as a strong and capable technology to replace the well-known complementary metal oxide semiconductor technology. In QCA technique, rotated majority gate (RMG) design is not explored greatly, and therefore, its advantages compared to original majority gate are unnoticed. This paper aims to provide a thorough observation at RMG gate with its capability to build robust circuits.Design/methodology/approachThis paper presents a new methodology for structuring reliable 2n-bit full adder (FA) circuit design in QCA utilizing RMG. Mathematical proof is provided for RMG gate structure. A new 1-bit FA circuit design is projected here, which is constructed with RMG gate and clock-zone-based crossover approach in its configuration.FindingsA new structure of a FA is projected in this paper. The proposed design uses only 50 number of QCA cells in its implementation with a latency of 3 clock zones. The proposed 1-bit FA design conception has been checked for its structure robustness by designing various 2, 4, 8, 16, 32 and 64-bit FA designs. The proposed FA designs save power from 46.87% to 25.55% at maximum energy dissipation of circuit level, 39.05% to 23.36% at average energy dissipation of circuit-level and 42.03% to 37.18% at average switching energy dissipation of circuit level.Originality/valueThis paper fulfills the gape of focused research for RMG with its detailed mathematical modeling analysis.

Facet-Sparing Decompression of Lumbar Spinal Stenosis: The Minimally Invasive Bilateral Crossover Approach.

One risk of established decompression techniques for lumbar spinal stenosis is the resection of facet joints, especially if they are steeply configured, promoting destabilization. Minimally invasive bilateral crossover decompression aims to preserve the facet joints and thus stability of the spine. The purpose of this study is to demonstrate the feasibility and early results of this technique. This retrospective case series includes 10 consecutive patients with lumbar stenosis and steep-angle (<35 degrees) facet joints who were treated with minimally invasive bilateral crossover decompression. Eleven segments were decompressed, most commonly L3/L4 (63.6%), followed by L1/L2 and L2/L3 (18.2% each). The effectiveness of surgical decompression was assessed by self-reporting questionnaires. After a follow-up of 10.5 months, the Symptom Severity Scale and Physical Function Scale of the Swiss Spinal Stenosis Questionnaire improved by 0.9 (p < 0.05) and 0.7 points, respectively. The mean Oswestry Disability Index improved from 53.9 to 34.6 (p < 0.05). Local and radiating pain under strain showed statistically significant improvement on the Visual Analog Scale (8.9 vs. 5.0 and 8.4 vs. 4.6, respectively). Maximum walking distance increased from 190 to 1,029 m. Apart from one patient requiring surgical decompression of an adjacent segment, there were no reoperations, neurological deteriorations, or other complications. The results of this study indicate that minimally invasive bilateral crossover decompression is a promising technique for the treatment of spinal canal stenosis. With its design to spare facet joints, it can potentially reduce the risk of spinal instability, especially in patients with steep facet joints.

Serum IgG2 antibody multi-composition in systemic lupus erythematosus and in lupus nephritis (Part 2): prospective study.

ObjectivesCirculating anti-ENO1 and anti-H2A IgG2 have been identified as specific signatures of LN in a cross-over approach. We sought to show whether the same antibodies identify selected population of patients with LN with potentially different clinical outcomes.MethodsHere we report the prospective analysis over 36 months of circulating IgG2 levels in patients with newly diagnosed LN (n=91) and SLE (n=31) and in other patients with SLE recruited within 2 years from diagnosis (n=99). Anti-podocyte (ENO1), anti-nucleosome (DNA, histone 2 A, histone 3) and anti-circulating proteins (C1q, AnnexinA1-ANXA1) IgG2 antibodies were determined by home-made techniques.ResultsLN patients were the main focus of the study. Anti-ENO1, anti-H2A and anti-ANXA1 IgG2 decreased in parallel to proteinuria and normalized within 12 months in the majority of patients while anti-dsDNA IgG2 remained high over the 36 months. Anti-ENO1 and anti-H2A had the highest association with proteinuria (Heat Map) and identified the highest number of patients with high proteinuria (68% and 71% respectively) and/or with reduced estimated glomerula filtration rate (eGFR) (58% for both antibodies) compared with 23% and 17% of anti-dsDNA (agreement analysis). Anti-ENO1 positive LN patients had higher proteinuria than negative patients at T0 and presented the maximal decrement within 12 months.ConclusionsAnti-ENO1, anti-H2A and anti-ANXA1 antibodies were associated with high proteinuria in LN patients and Anti-ENO1 also presented the maximal reduction within 12 months that paralleled the decrease of proteinuria. Anti-dsDNA were not associated with renal outcome parameters. New IgG2 antibody signatures should be utilized as tracers of personalized therapies in LN.Trial registrationThe Zeus study was registered at https://clinicaltrials.gov (study number: NCT02403115).

Lattice Boltzmann simulation of near/supercritical CO2 flow featuring a crossover formulation of the equation of state

In this work, we have incorporated a crossover equation of state into the pseudopotential multiphase Lattice Boltzmann Model (LBM) to improve the prediction of thermodynamic properties of fluids and their flow in near-critical and supercritical regions. Modeling carbon dioxide (CO2) properties in these regions is of increasing interest for industrial processes such as CO2 storage and heat transfer where CO2 is used as a working fluid. Despite the importance of accurately modeling near-critical and supercritical fluids, popular classical cubic equations of state (EoS) are not accurate. The proposed crossover EoS is a proven hybrid equation which uses the original classical EoS far from the critical point where it is valid, and near the critical point, it asymptotically switches to using non-analytic scaling laws. It also transforms into the ideal gas EoS as the density approaches zero. In order to demonstrate the validity and versatility of the crossover approach in the prediction accuracy of LBM in near-critical flows, this formulation was incorporated into the Peng-Robinson (P-R) EoS. First, 2D static droplets of CO2 and water at vapor-liquid equilibrium were modeled using both P-R EoS and its crossover formulation, and the numerically predicted results were then compared against the experimental data. The results demonstrate that the model accuracy in representing the thermodynamic behavior of the fluid in near-critical region is improved after adopting the crossover formulation with respect to the classical analytical EoS. The crossover P-R EoS was further applied to study several two-phase CO2 flows in mini-channels at near-critical temperatures. The flow patterns showed a good qualitative agreement with the experimental data in the near-critical region. The study is further extended to multi-component multiphase systems, specifically to water droplet penetration into porous media filled with CO2.

Early literacy and child wellbeing: Exploring the efficacy of a home-based literacy intervention on children’s foundational literacy skills

This paper reports on findings from a doctoral study that explored the efficacy of a home-based literacy intervention in advancing preschool children’s foundational literacy skills. Two key cognitive skills critical for early literacy success were examined in particular, those being phonological awareness, and elements of oral language, including vocabulary knowledge, which is the specific skill discussed in this paper. The intervention consisted of two main areas of focus – one, named Rich Reading and Reminiscing (RRR), concentrated on stimulating children’s oral language skills, and the other, called Stimulating Sound Sensitivity (SSS), aimed to generate shifts in children’s phonological awareness abilities. Data sets were gathered with eight children and their families over a twelve-week period, which corresponded with the duration of the intervention. A final set of data was collected six months after the intervention ceased. The study employed a crossover design, where four children and their families participated in the RRR component of the intervention, which ran for six weeks, followed by the SSS portion of the intervention. The remaining four children participated in the same parts of the intervention but in reverse order of delivery. The crossover approach established a control in the study, and allowed the effects of each part of the intervention on the children’s early literacy skills to be more clearly revealed. This paper reports on two children – one from each cohort – whose results are evidence of the efficacy of the intervention in advancing key aspects of children’s foundational literacy skills. Key Findings The children who participated in the RRR component of the intervention first showed improvements in vocabulary knowledge mid-intervention. Conversely, the children who participated in the SSS component first made gains in their phonological awareness skills before the other cohort of children did. These findings have implications for early childhood educators and families concerning the strategies adopted by these stakeholders which aim to foster strong cognitive skills critical for literacy success.

Reconstruction of the aorto-iliac segment in occlusive disease using the AFX unibody graft.

The endovascular era has evolved the treatment of aorto-iliac occlusive disease (AIOD). Many institutions now use minimally invasive techniques including kissing iliac stents and covered endovascular reconstruction of the aortic bifurcation. These negate the high morbidity of open surgical reconstruction but do not allow for a crossover approach to treat infra-inguinal disease. The AFX stent does both by anatomically reconstructing the bifurcation in AIOD despite being marketed for aneurysmal aortic disease. This large, single-centre case series assesses the outcomes of treatment of AIOD using the AFX stent. Patients with AIOD who presented to our institution between September 2016 and August 2018 were considered for AFX stenting if kissing iliac stents extending into the aorta or aortobifemoral bypass was required. Patient, treatment and outcome data were recorded with a primary outcome of primary patency at 12 months. AFX stenting was performed in 29 patients, with an average age of 69 years, 52% (15/29) patients had critical limb ischaemia. Technical success occurred in 100% of patients with clinical success in 96% (28/29). There were no cases of 30 day and 3 (10%) cases of 12 month mortality, 2 (7%) major and 7 (24%) minor complications arose. Median length of stay was 3 days. Primary patency at 12 months was 100% (n = 24). AFX stenting is a safe with satisfactory early results for the treatment of AIOD. The minimally invasive technique and preservation of cross-over approach makes AFX stenting a considered option for the treatment of AIOD.

Assessing mathematical sensemaking in physics through calculation-concept crossover

What kind of problem-solving instruction can help students apply what they have learned to solve the new and unfamiliar problems they will encounter in the future? We propose that mathematical sensemaking, the practice of seeking coherence between formal mathematics and conceptual understanding, is a key target of successful physics problem-solving instruction. However, typical assessments tend to measure understanding in more disjoint ways. To capture coherence-seeking practices in student problem solving, we introduce an assessment framework that highlights opportunities to use these problem-solving approaches more flexibly. Three assessment items embodying this calculation-concept crossover framework illustrate how coherence can drive flexible problem-solving approaches that may be more efficient, insightful, and accurate. These three assessment items were used to evaluate the efficacy of an instructional approach focused on developing mathematical-sensemaking skills. In a quasi-experimental study, three parallel lecture sections of first-semester, introductory physics were compared: two mathematical sensemaking sections, with one having an experienced instructor (MS) and one a novice instructor (MS-nov), and a traditionally-taught section acted as a control group (CTRL). On the three crossover assessment items, mathematical sensemaking students used calculation-concept crossover approaches more and generated more correct solutions than CTRL students. Student surveyed epistemological views toward problem-solving coherence at the end of the course predicted their crossover approach use but did not fully account for the differences in crossover approach use between the MS and CTRL groups. These results illustrate new instructional and assessment frameworks for research on mathematical sensemaking and adaptive problem-solving expertise.

Why busy leaders may have exhausted followers: a multilevel perspective on supportive leadership

PurposeThis study of leaders and followers working in day-care centers aims to use a multilevel perspective on supportive leadership to examine its role in linking workload at the leader level and emotional exhaustion at the follower level. Integrating theoretical work on social support with conservation of resources (COR) theory, leaders' workload is proposed to be positively related to followers' feelings of emotional exhaustion through constraining the enactment of supportive leadership.Design/methodology/approachMultisource survey data from 442 followers and their leaders from 68 teams were collected to test the hypotheses.FindingsMultilevel analyses showed that leader workload was negatively related to followers' perception of supportive leadership, which, in turn, was positively related to followers' levels of emotional exhaustion. Leader workload was indirectly and positively related to follower emotional exhaustion via supportive leadership.Research limitations/implicationsThis study provides initial support for the idea that work contextual factors at the leader level create boundaries for the extent to which leaders may provide support to their followers and draws attention to the accountability of leaders' work contextual factors for followers' well-being.Practical implicationsThe findings suggest that organizations must not focus narrowly on training leaders on how to benefit followers but should also aim to optimize leaders' levels of workload to enable them to act in a supportive manner.Originality/valueBy considering both the receivers (i.e. followers) and providers (i.e. leaders) of support simultaneously, we take a crossover approach to COR theory and acknowledge that work contextual factors at higher organizational levels may spread to employee well-being at lower levels of the organization.

Effect Of Different Glycemic Index Beverage On Substrate Oxidation During Moderate Intensity Exercise.

PURPOSE: To investigate the effect of low or high glycemic index (GI) beverage on substrate utilization during moderate intensity exercise. METHODS:This research design utilized a randomized and counterbalanced crossover approach with ten male participants (Age: 24.6±0.8 yr; BMI: 22.8±1.3kg/m2; ) engaged in three times (separated by 1 week) of 1-hour ergometer cycling( Monark 839E, Sweden) at 60% VO2max intensity while ingesting two types of beverages with different GI values ( LGI=47, HGI=90), and water only. Carbohydrate intake was set at 0.2g/kg every 15 minutes, and blood samples were collected pre-exercise and 0h- ,1h-, 2h-post-exercise for glucose, insulin, free fatty acid (FFA) and triglyceride analyzing. Substrate utilization was measured using metabolic cart (Cortex MetaLyzerII-R2, Germany) at 5min, 30min, 50min during exercise. RESULTS:There was no significant difference of carbohydrate oxidation rate between LGI and HGI beverage treatment (p=0.36). Fat oxidation rate was significantly higher in LGI (0.22±0.08g/min)compared to HGI treatment(0.18±0.07 g/min) and water(0.16±0.06 g/min) at 30 minutes during exercise(P<0.05). Blood glucose concentration was higher in HGI (5.64 ±0.72 mmol/L) and LGI (5.35 ±1.06 mmol/L) compared with water treatment (4.82±0.76 mmol/L) 0h-post-exercise(P<0.05). Plasma insulin concentration in HGI treatment increased significantly 1h-post-exercise (15.11±5.94μU/mL) compared with LGI (9.64 ±2.10μU/mL) and water (3.53 ±1.22μU/mL) (P<0.05). Plasma triglyceride(0.97 ±0.30 mmol/L) and FFA (0.48±0.18 mmol/L) concentration were lower in LGI treatment compared to water treatment 0h-post-exercise (P<0.05), but not in HGI treatment(P>0.05). CONCLUSIONS: Compared with HGI beverage before and during exercise supplementation, LGI beverage consumption may elevated fat substrate utilization during moderate intensity exercise.

Maize growth and yield promoting endophytes isolated into a legume root nodule by a cross-over approach

Rhizobia can colonize the roots of grasses in the Brazilian semiarid region; however, studies to isolate these bacteria for growth promotion of maize via unconventional isolation approaches have not been conducted. This study aimed to isolate, characterize (biochemically and molecularly) and assess the potential of cowpea nodulating/maize associated rhizobia for plant growth promotion. Extracts of surface-disinfected maize root were inoculated onto cowpea seeds in axenic conditions. Rhizobia were isolated and classified by sequencing of the 16 S rRNA and nodC genes, and recA and atpD were specifically assayed for Bradyrhizobium. The in vitro ability of rhizobia to produce auxin and siderophores, solubilize calcium phosphate, exhibit antagonism against the growth of the pathogen Fusarium verticillioides, and undergo endophytic colonization were evaluated. The ability of rhizobia to promote the growth of both potted cowpea and maize and to promote the growth and yield of maize under field conditions was also evaluated. Thirteen isolates were obtained, including six Rhizobium, four Agrobacterium, and three Bradyrhizobium isolates, which exhibited high genetic variability and low similarity with the type strains. All bacteria showed at least one plant growth promotion mechanism. Six bacteria stood out regarding the promotion of maize growth, and one bacterium showed the best performance in cowpea. The results of the field assay with maize indicated that Bradyrhizobium sp. ESA 114 and Rhizobium sp. ESA 116 induced the same maize grain yields as those observed in plants inoculated with the commercial strain of Azospirillum brasilense Ab-V5. Maize harbors a community of putative facultative endophytic rhizobia that are genetically diverse and have the potential to be used in inoculant production.

DEPSOSVM: variant of differential evolution based on PSO for image and text data classification

PurposeFeature selection is an important step for data pre-processing specially in the case of high dimensional data set. Performance of the data model is reduced if the model is trained with high dimensional data set, and it results in poor classification accuracy. Therefore, before training the model an important step to apply is the feature selection on the dataset to improve the performance and classification accuracy.Design/methodology/approachA novel optimization approach that hybridizes binary particle swarm optimization (BPSO) and differential evolution (DE) for fine tuning of SVM classifier is presented. The name of the implemented classifier is given as DEPSOSVM.FindingsThis approach is evaluated using 20 UCI benchmark text data classification data set. Further, the performance of the proposed technique is also evaluated on UCI benchmark image data set of cancer images. From the results, it can be observed that the proposed DEPSOSVM techniques have significant improvement in performance over other algorithms in the literature for feature selection. The proposed technique shows better classification accuracy as well.Originality/valueThe proposed approach is different from the previous work, as in all the previous work DE/(rand/1) mutation strategy is used whereas in this study DE/(rand/2) is used and the mutation strategy with BPSO is updated. Another difference is on the crossover approach in our case as we have used a novel approach of comparing best particle with sigmoid function. The core contribution of this paper is to hybridize DE with BPSO combined with SVM classifier (DEPSOSVM) to handle the feature selection problems.

Ultra-Low Cost Full Adder Cell Using the nonlinear effect in Four-Input Quantum Dot Cellular Automata Majority Gate

In this article, a new approach for the efficient design of quantum-dot cellular automata (QCA) circuits is introduced. The main advantages of the proposed idea are the reduced number of QCA cells as well as increased speed, reduced power dissipation and improved cell area. In many cases, one needs to double the effect of a particular inter median signal. State-of-the-art designs utilize a kind of fan out to achieve these resulting in increased number of cells, dissipating more power and decreasing the overall speed of the circuits. In this paper, we have presented cell alignment to multiply the effect of a certain signal by two, three or even more. This can be considered as a new vision to design any arbitrary circuit needing this property. Furthermore, a new coplanar crossover approach has been introduced which is able to make the coplanar crossover in two consecutive clocks with one rotated cell in the worst case. In order to prove the efficiency of the proposed ideas, a new Full Adder cell and a new Carry Ripple Adder (4-bit) have been designed which provides less QCA cell count as well as less power dissipation and cost.

Short-term effects of carbohydrates differing in glycemic index (GI) consumed at lunch on children\u2019s cognitive function in a randomized crossover study

BackgroundIntervention studies suggest an influence of breakfast dietary glycemic index (GI) on children’s cognition. The Cognition Intervention Study Dortmund-GI-I study examined whether lunch dietary GI might have short-term effects on selected cognitive parameters.MethodsA randomized crossover study was performed at a comprehensive school on 2 test days. One hundred and eighty-nine participants (5th and 6th grade) were randomly assigned to one of the two sequences, medium-high GI (m-hGI) or high-medium GI (h-mGI), following block randomization. In the first period, one group received a dish containing hGI rice (GI: 86) ad libitum, the other mGI rice (GI: 62)—1 week later, in the second period, vice versa. Tonic alertness, task switching, and working memory updating were tested with a computerized test battery 45 min after beginning of lunch break. Treatment effects were estimated using the t test for normally distributed data or the Wilcoxon rank-sum test for non-normally distributed data.ResultsThe crossover approach revealed no effects of lunch dietary GI on the tested cognitive parameters in the early afternoon. However, we determined carryover effects for two parameters, and therefore analyzed only data of the first period. The reaction time of the two-back task (working memory updating) was faster (p = 0.001) and the count of commission errors in the alertness task was lower (p = 0.04) in the hGI group.ConclusionNo evidence of short-term effects of lunch dietary GI on cognition of schoolchildren was found. Potential positive effects on single parameters of working memory updating and tonic alertness favoring hGI rice need to be verified.

Unilateral approach for over the top bilateral lumbar decompression

The main goal is bilateral microsurgical decompression of the cauda equina using a unilateral over the top approach. The challenge is to achieve decompression with minimal iatrogenic trauma to anatomical structures in the approach region and in the target area. Degenerative spinal disorders including lumbar central stenosis, lumbar lateral recess spinal stenosis, and foraminal narrowing. This technique is performed in patients presenting primarily with neurogenic claudication, leg or buttock symptoms, heaviness in the legs with or without radicular symptoms, with or without neurological deficits, and comparable MRI findings. There are no limitations regarding number of affected segments or the extent of narrowing. All available conservative treatment modalities not exhausted. Lack of serious neurological deficit. Minimally invasive, muscle-sparing and facet-joint-sparing bilateral enlargement of the lumbar spinal canal through a unilateral microsurgical cross-over approach. Patients are mobilized early 4-6 h postoperatively. Light sports activities (e.g., ergometer cycling, swimming) are allowed after 2weeks. The same is true for the return to normal daily or work activities except for heavy physical work (usually 4weeks out of work). Soft lumbar brace for 4weeks (optional). The clinical outcomes are good to excellent. Meta-analyses and large case series report success rates for microsurgical decompression procedures of 73.5-95%. The reoperation rates are low (0.5-10%).

Feature Selection for Liver Disease using Particle Swarm Optimization Algorithm

Information Mining is one of the preeminent descriptive parts of automatic order and identification. It embroils information mining calculations and methods to inspect restorative information. Lately, liver protests have lopsidedly increased and liver diseases are complimenting one of the most human afflictions in various nations. Early determination of Liver Disorder is basic for the welfare of human culture. This grievance ought to be considered earnestly by setting up canny frameworks for the early analyze and anticipation of Liver infections. The robotized grouping framework endures with absence of exactness results when contrasted and careful biopsy. We propose another model for liver disorder order for breaking down the patient's restorative information utilizing cross breed counterfeit neural system. The therapeutic records are arranged whether there is a plausibility of presence of sickness or not. This proposed strategy utilizes M-PSO for highlight choice of information factors and M-ANN calculation for sickness order. The exhibited crossover approach improves the precision when contrasted with existing order calculations. This paper concentrates on feature selection on using PSO algorithm

Feature Selection for Liver Disease using Particle Swarm Optimization Algorithm

Information Mining is one of the preeminent descriptive parts of automatic order and identification. It embroils information mining calculations and methods to inspect restorative information. Lately, liver protests have lopsidedly increased and liver diseases are complimenting one of the most human afflictions in various nations. Early determination of Liver Disorder is basic for the welfare of human culture. This grievance ought to be considered earnestly by setting up canny frameworks for the early analyze and anticipation of Liver infections. The robotized grouping framework endures with absence of exactness results when contrasted and careful biopsy. We propose another model for liver disorder order for breaking down the patient's restorative information utilizing cross breed counterfeit neural system. The therapeutic records are arranged whether there is a plausibility of presence of sickness or not. This proposed strategy utilizes M-PSO for highlight choice of information factors and M-ANN calculation for sickness order. The exhibited crossover approach improves the precision when contrasted with existing order calculations. This paper concentrates on feature selection on using PSO algorithm.

A newly designed 0.018-in.-compatible inner dilator as a novel option for endovascular therapy with the crossover approach.

This study aimed to investigate the efficacy of guiding sheath delivery with the crossover approach using a newly customized inner dilator for a 0.018-in. guidewire of the Destination® guiding sheath (Terumo Corporation, Tokyo, Japan) (18-system), compared with that of the conventional-type 0.035-in. guidewires with inner dilators (35-system), and to predict failure of guiding sheath delivery. We conducted a prospective multicenter case series study of the contralateral crossover approach using Destination®, to determine whether the 18-system could be a rescue system in cases in which the conventional 35-system failed. To evaluate the efficacy of the 18-system, we created an in vitro aortoiliac bifurcation model by using a silicone vessel. We enrolled 172 cases consecutively. The initial crossover approach with the 35-system failed in 37 cases (21.5%), and a second attempt with the 18-system was successful in all failed cases. The bifurcation angles in the 35-system failure cases were significantly steeper than those in the 35-system success cases. A receiver operating characteristic curve analysis demonstrated that an aortoiliac bifurcation angle of 68° was the optimal cut-off value for predicting failure of the crossover procedure. Data from the analysis using the silicone vessel model suggested that the 18-system provided superior results, especially in aortoiliac bifurcation angles steeper than 60°, consistent with the in vivo findings. The results of the initial use of the 18-system with the crossover approach suggest that it may be superior to the conventional 35-system, especially in cases of steeper aortoiliac bifurcation angles.