## What is/are Impact Value?

Impact Value - First, Distinctive Impact Context Sensitive Hashing model is designed for the given input Big Dataset where both the distinctive and impact values are identified and applied to Context Sensitive Hashing.^{[1]}The impact values of PM2.

^{[2]}The analysis on geopolymer aggregate included specific gravity, water absorption, crushing value, impact value, attrition, loss angles abrasion, and angularity index.

^{[3]}Fuzzy Cognitive Map (FCM) discretionary lane-changing decision models were developed using the impact values that were discovered using the SigAFE algorithm.

^{[4]}Moreover, pathway enrichment analysis suggested 14 potentially different metabolic pathways between NAFLD patients and healthy controls based on their impact value.

^{[5]}Finally, we measured the impact value of error difference aimed at describing the relationships between pre-analysis and post-analysis writing.

^{[6]}The widely used industrial practice in managing construction project risks is to assign probability and impact values to each risk and to map risks on a risk matrix.

^{[7]}Considering the remaining fatigue life and formation of the damages in the CPVs for all impact energies, to investigate the fatigue behavior and GnPs effects of CPVs subjected to low-velocity impact, an impact value of 5 J was preferred.

^{[8]}The Fast-FWD is an instrument that can produce a broadband dynamic force up to an impact value of 120 KN: The impact is constant and replicable, providing accurate action measures of bridge stiffness in a truly short period (30 ms).

^{[9]}Since the reliability of the data sources is a crucial issue for applying the LCA method, the effectiveness of their implementation within the GBRS also strictly depends on the origin of the impact values.

^{[10]}The Global Warming Potential (GWP) impact values correlated with horticulture production were recovered from the literature related to open-field vegetable crops under similar agricultural conditions.

^{[11]}56 MPa) and decrease in durability due to abrasion, impact and chemical processes, including decrease in impact value (from 54.

^{[12]}The process of calcination and coal used in the kiln, packaging transport by diesel-powered trucks, and electricity use is the main contributor to the impact value.

^{[13]}From these tests, the highest modulus of elasticity and impact value was obtained at the 600rpm stirring process.

^{[14]}Mean speed and impact value of sections with similar slope (≈21%) were calculated.

^{[15]}We conducted a study in which we evaluated the impact value of neutrophil to lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), inflammatory biomarkers (erythrocyte sedimentation rate and C-reactive protein), activated partial thromboplastin time (APTT), prothrombin time (PT) and international normalized ratio (INR) at presentation on CSH severity and outcome using Glasgow outcome scale (GOS), Markwalder grading scale (MGS) and Lagos brain disability examination scale (LABDES).

^{[16]}Via employment of a batch adsorption technique, the impact values of 30 mg L–1, 50 mg, 7.

^{[17]}3 HRA and the impact value of 0.

^{[18]}The impact values decreased quite linearly in -40 °C and -60 °C test temperature when the cold forming rate increased.

^{[19]}The impact values at the production, construction and maintenance stages for the flexible pavement are 86.

^{[20]}The ReCiPe method is used to conduct the life cycle analysis, by means of which the impact value is obtained for every alternative and span length.

^{[21]}When dairy processing was included, the impact values for 1 kg of dairy product were from 8 to 13 times greater than those obtained for 1 kg FPCM.

^{[22]}To assess the quality of RA, basic properties were studied, such as gradation, structure, abrasion value, crushing value, impact value, bulk density, and water absorption.

^{[23]}Eight rock samples were selected for porosity test, impact value, specific gravity and absorption capacity.

^{[24]}1 %, impact value at -60 ℃ of 125 J.

^{[25]}Via employment of a batch adsorption technique, the impact values of 10 mg/L, 0.

^{[26]}Analyses of activities show that art-based resources in environmental battles can foster cultural resilience, impact values, enhance hope and allow for campaigning that uses art to communicate environmental concerns.

^{[27]}In this paper we propose a novel impact analysis approach which adopts both qualitative and quantitative elements for determining the impact value.

^{[28]}43 N/mm 2 and the impact value of 0.

^{[29]}The latching part on a seismic mass enables the discrete latch positions depending on the applied external impact forces and stores the impact value over a long period of time without any external power supply.

^{[30]}By applying Fuzzy-Delphi technique, the probability and impact value of 15 major risks were assessed and quantified.

^{[31]}The properties of both round and angular lightweight aggregates like crushing value, impact value, bulk density, porosity, specific gravity, and water absorption are compared with the properties of the conventional aggregates (gravel).

^{[32]}Finally, with the aim of considering nutritional aspects to compare the impact values, a quantity of 15 g of protein (corresponding to the protein content of a meat burger of 100 g) was considered as a nutritional functional unit.

^{[33]}Consideration was given in this study to the large variations in the impact values, and a two-parameter Weibull distribution method was adopted in order to analyze the obtained experimental data.

^{[34]}First, the interactions between a group of weekly outpatients and a physician of the outpatient department are modeled as a non-cooperative game, after which an impact value of each physician for the outpatient visit is de-rived from Nash equilibrium of game.

^{[35]}The plastic-coated aggregates are tested for impact value and crushing value.

^{[36]}The impact values of two sites of them (Sparking Lake and Nuorilang Waterfall) are up to 8.

^{[37]}With the application of a questionnaire that measured in detail ICT skills of new students in a higher education institution in Mexico, the main findings show that according to the tables of impact value between constructs and the significance between constructs, the skills have a significant and significant negative impact on the side of anxiety / behavior and on the side of the utility there is a strong, significant impact.

^{[38]}Impact value for Sample 1 (93Fe-5Ti-2Zn) was 66 J and for Sample 2 (88Fe-10Ti-2Zn) was 73 J.

^{[39]}Impact value of coarse aggregate obtained was 11.

^{[40]}Thus, the replacement of certain material sources and circular usage would lead to a significant decrease in impact values.

^{[41]}(iii) Implementation (iv) and Compare Differences will impact values of transaction identification cost effective method and other models those are available in market in the automated manner.

^{[42]}The impact values were significantly higher in male individuals in the oral symptoms (OS) domain and in individuals without caries experience in the social well-being (SW) domain (p<0.

^{[43]}Los Angele’s Abrasion Value, Impact Value, Crushing Value, Specific Gravity, Water Absorption, Flakiness Index, Elongation Index, Porosity Value, California Bearing Ratio test and Grain Size Analysis were done and co-related with B.

^{[44]}The impact value is not too large, but this is enough to prove that the trading activities have been able to stimulate the economy.

^{[45]}We did not find differences in impact values between PAs and ILs, but impact values were higher for strict protection than for sustainable use areas.

^{[46]}In our previous paper, we reported that the impact value of polycarbonate (PC) increases with increasing molecular weight and decreases upon annealing [Polymer 2012, 53, 895–896].

^{[47]}Tensile properties and hardness are found to be higher than other super-duplex grades; however, impact values at − 50 °C are lower than grade 6A.

^{[48]}In conclusion, we believe that self-citation is a positioning strategy for authors in order to show previous works, demonstrate a research line, increase his/her impact values or achieve visibility, or simple vanity.

^{[49]}We propose an improved approach that connects the high-impact value of remarkably long sequence time steps to the current time step, and these high-impact traffic flow values are captured using the attention mechanism.

^{[50]}

## aggregate crushing value

The strength of seashell was determined through the Aggregate Impact Value Test (AIV) and Aggregate Crushing Value Test (ACV).^{[1]}The laboratory tests carried out to determine the properties of aggregates included, aggregate impact value and aggregate crushing value.

^{[2]}Sieve analysis, specific gravity, moisture content, Aggregate Crushing Value (ACV) and Aggregate Impact Value (AIV) of the granites were determined.

^{[3]}Physical properties (ultrasonic pulse velocity (PVU), water absorption (Wa), Na2SO4 soundness, and specific gravity tests) and mechanical properties (unconfined compressive strength (UCS), Aggregate crushing value (ACV), Aggregate Impact Value (AIV), and Los Angles Abrasion value (LAAV)) were determined in the lab and then compared with the globally accepted standards.

^{[4]}The aggregate impact value test (AIV) and aggregate crushing value test (ACV) were done on the plastic coated aggregate.

^{[5]}Experiments such as the sieve analysis test, Los Angeles abrasion test, aggregate impact value test and the aggregate crushing value test were conducted to measure the properties.

^{[6]}The chemical and geotechnical test performed on the samples were Sulphate, pH, Aggregate Crushing Value, Sodium Sulphate Soundness, Aggregate Impact Value, Specific Gravity, Bulk Density, Water Absorption, Los Angeles Abrasion Value, and XRF analysis, which was conducted in accordance with the British Standard (BS) and American Society for Testing and Materials (ASTM) Standards.

^{[7]}The AD properties were determined by Los Angeles abrasion value (LAAV), aggregate impact value (AIV) and aggregate crushing value (ACV).

^{[8]}Bond Work Index (BWi), Aggregate Impact Value (AIV) and Aggregate Crushing Value (ACV) of samples was characterized and correlated.

^{[9]}In general, the recycled aggregates are found to be weaker than the natural aggregates against mechanical resistance such as aggregate crushing value, ten percent fines value, impact value and Los Angeles abrasion loss value.

^{[10]}69 obtained for the aggregate impact value (AIV) and aggregate crushing value (ACV) were satisfactory for road surfacing when compared with the specification.

^{[11]}Field observation, water absorption, specific gravity, shape indices, aggregate impact value (AIV), aggregate crushing value (ACV), Los Angeles abrasion value (LAAV), compressive strength, tensile strength and petrography of the selected rocks were evaluated.

^{[12]}

## Mean Impact Value

Third, based on the mean impact value analysis, this paper differentiates and ranks the importance of input variables on installed capacity development.^{[1]}BP-ANN model was then established and optimized to screen Q-markers based on mean impact value (MIV).

^{[2]}Subsequently, the mean impact value algorithm was added to the selected algorithm model to calculate the weight coefficients for the different relevant factors.

^{[3]}The algorithm first combines the prediction model to calculate the mean impact value (MIVs) of the feature and realizes primary feature selection for the prediction model by selecting the feature with a larger MIV.

^{[4]}In order to improve the modeling speed and accuracy, a mean impact value (MIV) quantum particle swarm optimization (QPSO) intelligent algorithm is proposed to tune the model parameters.

^{[5]}Based on PSO-BP model, the mean impact value algorithm (MIV) was used to screen the risk factors of hypertension, and the disease risk prediction model was established.

^{[6]}Mean Impact Value (MIV) and the improved Correlation-based Feature Selection (CFS) were employed to select the most influential feature set.

^{[7]}Feature importance evaluation algorithm of mean impact value (MIV) was established to sort the vital characteristics of qEEG and structural MR.

^{[8]}It can be referred from the mean impact value analysis of the proposed models that the interfacial properties are significantly dependent on the fiber’s diameters.

^{[9]}This paper presents a feature selection model based on mean impact value (MIV) to solve induction motor (IM) fault diagnosis on the current signal.

^{[10]}To effectively cope with the effects of multiple influencing factors and strong nonlinearity among them, the mean impact value (MIV) method and the back-propagation (BP) feed-forward neural network improved by the sparrow search algorithm (SSA) are used in this study to develop an intelligent prediction model.

^{[11]}To fill the gaps, the primary objectives of this paper are to optimize ANN by genetic algorithm (GA) and introduce mean impact value (MIV) algorithm for parametric sensitivity analysis.

^{[12]}A mean impact value and back-propagation (MIV-BP) neural network was used to understand the influencing factors.

^{[13]}Decomposition and denoising are realized through empirical mode decomposition, and then the corresponding energy index is obtained for the waveform of each inherent modal component and simplified by the mean impact value method.

^{[14]}Finally, a mean impact value analysis is also conducted to evaluate the relative importance of the input variables to the output variable.

^{[15]}Therefore, a binary logistic regression LC model with a mean impact value (MIV) method to select features is proposed for accurate prediction.

^{[16]}In order to effectively solve the problems of low prediction accuracy and calculation efficiency of existing methods for estimating economic loss in a subway station engineering project due to rainstorm flooding, a new intelligent prediction model is developed using the sparrow search algorithm (SSA), the least-squares support vector machine (LSSVM) and the mean impact value (MIV) method.

^{[17]}To improve the shrinkage efficiency of the NNG, adaptive operators are designed using the mean impact value estimate.

^{[18]}The original spectra were preprocessed by moving smoothing (MS) and standard normal variate (SNV) methods, for the characteristic wavelengths were extracted with four dimension-reducing methods, namely principal components analysis (PCA), competitive adaptive reweighed sampling (CARS), CARS-mean impact value (CARS-MIV), and random frog (RF) algorithm.

^{[19]}Compared with the Nonparametric Spearman rank-order correlation method, the simple analysis of variance technique, and the connection weight method, the Mean Impact Value (MIV) algorithm allows the effect of the output variables corresponding to each perturbation in the input variable to be recorded.

^{[20]}Then, according to the transmission data and channel parameter information which is intercepted by the attackers, we establish an evaluation model of sensor based on the Mean Impact Value (MIV) algorithm.

^{[21]}Adhering to this hybrid model, the mean impact value (MIV) method is then employed to evaluate and differentiate the importance of thirteen influencing factors.

^{[22]}During the model construction process, the mean impact value method was employed to investigate the impact of each feature on the model output and reduce feature redundancy.

^{[23]}In the process of model construction, the mean impact value method was introduced to investigate the impact of each feature on the models and the genetic algorithm was introduced to implement parameter optimization.

^{[24]}And the contributions of different muscle groups to the generated force was analyzed with an index called mean impact value (MIV).

^{[25]}The screening for nonlinear independent variables of regression model is carried out by mean impact value (MIV) method, and then the input and output of Res-BP neural network can be determined.

^{[26]}At the beginning of the study, 8 factors including social, economic and technical aspects which affect the energy consumption significantly have been selected by Back Propagation Mean Impact Value (BP-MIV) network approach.

^{[27]}Unlike our previous work, where insignificant input variables are successively screened out based on their mean impact values (MIVs) during the training process, we use the receiver operating characteristic (ROC) plot to generate reliable data with a conservative or progressive point of view, which overcomes the issue of data insufficiency of the MIV method: By properly setting boundaries for input variables based on the ROC plot and their statistics, instead of completely screening them out as in the MIV-based method, we can generate new training data that maximize true positive and false negative numbers from the partial data set.

^{[28]}The model consists of five steps: firstly, building a multidimensional reputation evaluation index system for crowdsourcing participants, collecting real data sets, and preprocessing data; secondly, data dimensionality reduction methods, including Linear Discriminant Analysis, Principal Component Analysis, Mean Impact Value method and ReliefF feature selection method, are used to eliminate redundant variables; thirdly, data normalization; fourthly, with selected feature subset, five machine learning techniques, Random Forest, Decision Tree, Back propagation Neural Network, Radial Basis Function Neural Network and Support Vector Machine are used to train the model; Fifthly, the validity of the model is tested by four evaluation measures: 10 fold cross validation, confusion matrix, Kruskal-wallis test and dispersion degree.

^{[29]}The model consists of the mean impact value algorithm (MIVA), the modified firefly algorithm (MFA), and PNN (MIVA-MFA-PNN model).

^{[30]}Additionally, the mean impact value (MIV) analysis was conducted to quantitatively explore the relative significance of each input variable for improving the effective prediction.

^{[31]}The influence of different input variables on the model outputs was discussed respectively by comparing their mean impact values (MIV).

^{[32]}In the proposed MIV-NVARNN learning approach, (1) a method of mean impact value (MIV) based on neural network is used for identifying and extracting input variables; (2) NVARNN is firstly proposed to deal with the irregularity and volatility of the time series of air passenger flows.

^{[33]}Thirdly, 9 of the 87 triterpenes possessing high mean impact value were identified to have significant lipid-lowering effect via the particle swarm-optimized SVM model.

^{[34]}The negative impact of the endodontic disease was similar for the patients treated by students and specialists as the difference between the registered mean impact values at the first appointment was insignificant.

^{[35]}A genetic algorithm and mean impact value were used to select genes to be used as numerical encoded parameters to reflect cancer metastasis or aggression.

^{[36]}Then, Mean Impact Value is utilized to compute contributions of influential factors.

^{[37]}In this study, a hybrid variable selection method based on wavelet transform (WT) and mean impact value (MIV) was proposed to extract useful information from LIBS spectra for calorific value determination of coal.

^{[38]}In order to select effective data, Mean Impact Value (MIV) has been applied to select meaningful data.

^{[39]}At the same time, the mean impact value (MIV) is used to investigate the relative importance of each input variable.

^{[40]}In addition, to increase the accuracy of estimation, we use the Mean Impact Value (MIV) algorithm to select the features having the significant influence on BP prediction for each independent subject from the 78 features, and the Particle Swarm Optimization (PSO) algorithm is used to optimize network structure.

^{[41]}To cope with the above puzzles, a new methodology, by integrating extreme learning machines (ELM) and technique of mean impact value (MIV), is proposed in this paper with the support of log data collected from two wells located in unconventional shale gas reservoir in Ordos Basin, China.

^{[42]}Random forest regression (RFR) and mean impact value (MIV) were applied to evaluate the weights of variables.

^{[43]}At the same time, the mean impact value (MIV) is used to investigate the relative importance of each input variable.

^{[44]}

## Aggregate Impact Value

The strength of seashell was determined through the Aggregate Impact Value Test (AIV) and Aggregate Crushing Value Test (ACV).^{[1]}The highest aggregate impact value (AIV) was obtained for samples with 6 M NaOH molarity (26.

^{[2]}From the grading analysis it was observed that using C& D wastes, strength criteria is being satisfied and meet the specifications of MORTH which is then subjected to aggregate impact value (AIV) testing, CBR testing etc.

^{[3]}The laboratory tests carried out to determine the properties of aggregates included, aggregate impact value and aggregate crushing value.

^{[4]}Sieve analysis, specific gravity, moisture content, Aggregate Crushing Value (ACV) and Aggregate Impact Value (AIV) of the granites were determined.

^{[5]}Physical properties (ultrasonic pulse velocity (PVU), water absorption (Wa), Na2SO4 soundness, and specific gravity tests) and mechanical properties (unconfined compressive strength (UCS), Aggregate crushing value (ACV), Aggregate Impact Value (AIV), and Los Angles Abrasion value (LAAV)) were determined in the lab and then compared with the globally accepted standards.

^{[6]}Other test carried out on the crushed burnt aggregates to ascertain their suitability were, Aggregates Impact Value test (AIV) with value at 15.

^{[7]}The aggregate impact value test (AIV) and aggregate crushing value test (ACV) were done on the plastic coated aggregate.

^{[8]}Experiments such as the sieve analysis test, Los Angeles abrasion test, aggregate impact value test and the aggregate crushing value test were conducted to measure the properties.

^{[9]}The chemical and geotechnical test performed on the samples were Sulphate, pH, Aggregate Crushing Value, Sodium Sulphate Soundness, Aggregate Impact Value, Specific Gravity, Bulk Density, Water Absorption, Los Angeles Abrasion Value, and XRF analysis, which was conducted in accordance with the British Standard (BS) and American Society for Testing and Materials (ASTM) Standards.

^{[10]}6%), aggregate impact value (AIV = 14%), Los Angles Abrasion value (LAAV = 23.

^{[11]}Results showed that the aggregate impact value of granite and PKS used were 0.

^{[12]}The AD properties were determined by Los Angeles abrasion value (LAAV), aggregate impact value (AIV) and aggregate crushing value (ACV).

^{[13]}Bond Work Index (BWi), Aggregate Impact Value (AIV) and Aggregate Crushing Value (ACV) of samples was characterized and correlated.

^{[14]}The mechanical properties were studied such as specific gravity, particle-size distribution (sieve analysis), water absorption, crushing strength of individual pellets and aggregate impact value.

^{[15]}69 obtained for the aggregate impact value (AIV) and aggregate crushing value (ACV) were satisfactory for road surfacing when compared with the specification.

^{[16]}Field observation, water absorption, specific gravity, shape indices, aggregate impact value (AIV), aggregate crushing value (ACV), Los Angeles abrasion value (LAAV), compressive strength, tensile strength and petrography of the selected rocks were evaluated.

^{[17]}

## Environmental Impact Value

The presence of critical raw materials such as antimony, cobalt, or magnesium, together with precious metals as gold or silver, highly influences the environmental impact values obtained, demonstrating the considerable influence on the environmental impact of the material composition of the SMD diodes analysed.^{[1]}Generally, all the impacts that caused from the plant is low on the environment by the comparison with maximum locally index of environmental impact value.

^{[2]}The results obtained show the enormous potential of starch bioadhesives, as their environmental impact values are lower compared to those based on petrochemicals.

^{[3]}Besides, approximately 44 Pts/h of non-condensable gas-NCG (CO2 mostly) released from vaporizer to atmosphere caused environmental impact of the system to be measured as high environmental impact value of electricity equal to 0.

^{[4]}Environmental Impact is analyzed through the calculation of Environmental Impact Value and Leopold matrix.

^{[5]}A sequence of options of the lowest corresponding environmental impact value can be obtained.

^{[6]}It was verified that the least efficient roof with the highest environmental impact values corresponds to Type C.

^{[7]}

## Charpy Impact Value

The results of this study reveal that the properties of the run-off plate were not diluted toward the base metal and the Charpy impact value at the weld end was up to 48% greater than the impact value at the start of the weld at a temperature of −40 °C.^{[1]}The research results show that the strength of the welding metal was slightly higher and the Charpy impact value was significantly lower compared to the base metal.

^{[2]}The charpy impact value of the component made from Fe-0.

^{[3]}W–Ni–Co alloy has a much higher Charpy impact value of 127 J when compared to alloy with Fe addition (55 J) due to lower dissolution of tungsten into the binder matrix.

^{[4]}An improvement was shown in the limit of the diameter-enlarged ratio because the quenching and tempering heat treatment led to an increase in the Charpy impact value/ductility as well as a reduction in the hardness, tensile strength, and yield strength; the partial diameter-enlarged process could be performed on the heat treated material at almost the same deformation speed as a cold-drawn material with a much lower axial pressure; it was possible to estimate the diameter-enlarged deformation behavior using the tempering parameter M.

^{[5]}

## Izod Impact Value

Accordingly, the impact resistance was affected negatively because of the stiffness of the filler materials, and the highest Izod impact value was 50.^{[1]}The results found tensile strength values and izod impact values directly proportionate with occupancy rate.

^{[2]}Tensile strength, flexural strength and izod impact values are considered as result parameters for optimization.

^{[3]}Moreover, the maximum Izod impact value of this fabric-derived resin achieved 457 J/m due to the ability to reversibly transform back into a woven wool fabric under applied stress.

^{[4]}

## Highest Impact Value

Based on a constructed metabolome map, linoleic acid metabolism had the highest impact value for EUL.^{[1]}The applied sensitivity analysis reveals that the highest impact value is assigned to the volume fraction of the nanoparticle.

^{[2]}7738 J, and the highest impact value was 0.

^{[3]}The test that have been carried out shows that the highest hardness value of 41 HRC owned by raw material, while the highest impact value of 224.

^{[4]}

## Higher Impact Value

Result: Organizational structure (X1) on the satisfaction of the performance of nurses at Omni Hospital Pulomas has a higher impact value than Jakarta Seaport Hospital, while Jakarta Seaport Hospital has a higher impact value for Work Design (X2) on Nurse's Performance Satisfaction (Y) than the Omni Hospital Pulomas in Jakarta, and for the Jakarta Seaport Hospital Competency Variable (X3) (Y).^{[1]}However, at 350°C shows feathery shaped bainitic ferrite with higher amount of retained austenite to demonstrate lower hardness and higher impact value.

^{[2]}Charpy-V results showed that HAZs presented higher impact values than those of the weld metal.

^{[3]}

## High Impact Value

In the case of the two-feedstocks studied, it was observed that the feedstock processing stage has high impact values in almost all impact categories.^{[1]}Exploration of HSP90 inhibitors from Indonesia natural resources still have great potential to be developed because they have high impact values as anticancer candidates.

^{[2]}Among them, four metabolites (oxidized glutathione, glutathione, 3-Sulfinoalanine and deoxycholic acid 3-glucuronide) were selected based on their high impact value and potential biological function in the process of liver injury post cantharidin treatment.

^{[3]}

## Pathway Impact Value

05 and pathway impact value > 0.^{[1]}The integrated gene-metabolite pathway analysis showed that pathway impact values were higher than those of a single metabolic pathway.

^{[2]}Pathway analysis based on SDMs indicated that the starch and sucrose metabolism, alanine, aspartate, and glutamate metabolism, and pentose phosphate pathway were most relevant to pre-fermentation (Pathway impact value > 0.

^{[3]}

## Smallest Impact Value

67 VHN and the smallest impact value of 1.^{[1]}The results show the smallest impact value of 264 kj / m2, and the largest value of 164 kj / m2.

^{[2]}

## Minimum Impact Value

The minimum impact value of the hollow lattice structure energy-absorbing box test piece is 69.^{[1]}We present two models based on minimum impact value to be achieved by advertisement as a constraint considering that the budget available for advertising is uncertain.

^{[2]}

## Economic Impact Value

Then we calculated the actual number of milligrams used and the related economic impact value of the 3 strategy.^{[1]}The estimated approximate economic impact value generated over 4 years, under main assumptions of uniform effect on different income groups and negligible expenses, is around ZAR296m or USD21m and still growing, strongly highlighting why it is critical for policy makers to support investment in the communication technologies and related information technology skills and education.

^{[2]}

## Citation Impact Value

Both supported and not supported papers received comparable number of citations per paper, and were published in journals with similar citation impact values.^{[1]}The Category Normalized Citation Impact values and the presence of documents in first quartile journals were higher in OA than in non-OA models.

^{[2]}

## Energy Impact Value

The tensile and yield strength were 1200 and 1051 MPa, respectively, while the hardness and the energy impact values were of 47 HRC and 26 J; these values are in the range expected for an ADI grade 3.^{[1]}Impact tests of welds gave relatively high energy impact values.

^{[2]}

## Temperature Impact Value

The low-temperature impact values were equal to or greater than 58 J at all locations in the weld zone.^{[1]}Yield and tensile strength as well as elongation, decrease in area, and the room-temperature impact values of this alloy were equal to 450 and 736 MPa, 38% and 52%, and 152 J, respectively.

^{[2]}

## impact value test

The strength of seashell was determined through the Aggregate Impact Value Test (AIV) and Aggregate Crushing Value Test (ACV).^{[1]}Composition analysis, basic physical properties, angle of repose, CASPOL impact value tests, and in situ direct shear tests were conducted.

^{[2]}Other test carried out on the crushed burnt aggregates to ascertain their suitability were, Aggregates Impact Value test (AIV) with value at 15.

^{[3]}The aggregate impact value test (AIV) and aggregate crushing value test (ACV) were done on the plastic coated aggregate.

^{[4]}Experiments such as the sieve analysis test, Los Angeles abrasion test, aggregate impact value test and the aggregate crushing value test were conducted to measure the properties.

^{[5]}

## impact value method

Decomposition and denoising are realized through empirical mode decomposition, and then the corresponding energy index is obtained for the waveform of each inherent modal component and simplified by the mean impact value method.^{[1]}During the model construction process, the mean impact value method was employed to investigate the impact of each feature on the model output and reduce feature redundancy.

^{[2]}In the process of model construction, the mean impact value method was introduced to investigate the impact of each feature on the models and the genetic algorithm was introduced to implement parameter optimization.

^{[3]}The model consists of five steps: firstly, building a multidimensional reputation evaluation index system for crowdsourcing participants, collecting real data sets, and preprocessing data; secondly, data dimensionality reduction methods, including Linear Discriminant Analysis, Principal Component Analysis, Mean Impact Value method and ReliefF feature selection method, are used to eliminate redundant variables; thirdly, data normalization; fourthly, with selected feature subset, five machine learning techniques, Random Forest, Decision Tree, Back propagation Neural Network, Radial Basis Function Neural Network and Support Vector Machine are used to train the model; Fifthly, the validity of the model is tested by four evaluation measures: 10 fold cross validation, confusion matrix, Kruskal-wallis test and dispersion degree.

^{[4]}

## impact value co

To envision possible future scenarios, this paper aims to reflect upon how the humans’ use of AI technology can impact value co-creation.^{[1]}It then examines how stakeholder identities, and attributes of stakeholder salience and behaviour impact value co-creation across a network of stakeholders resulting in value gains and/or challenges at different levels.

^{[2]},This study develops and tests new hypotheses related to occupational stereotyping in complex HCSSs, and extends previous research on stereotypes in service by exploring the previously unknown mediating mechanisms through which these impact value co-creation processes overall.

^{[3]}Findings – The results achieve via path analysis revealed that Customer Perceived Vale and Customer Trust positively impact Value Co-creation which results in Customer Satisfaction and Customer Loyalty and ultimately the repurchase intention of the customer.

^{[4]}

## impact value algorithm

Subsequently, the mean impact value algorithm was added to the selected algorithm model to calculate the weight coefficients for the different relevant factors.^{[1]}Based on PSO-BP model, the mean impact value algorithm (MIV) was used to screen the risk factors of hypertension, and the disease risk prediction model was established.

^{[2]}The model consists of the mean impact value algorithm (MIVA), the modified firefly algorithm (MFA), and PNN (MIVA-MFA-PNN model).

^{[3]}

## impact value chain

The diagram also portrays how these factors impact value chain actors' performance and the influence of time delays and random shocks on the entire value chain system.^{[1]}We advocate social impact as that which derives from an impact value chain where we distinguish outputs from outcomes and impacts.

^{[2]}Impact Finder has proved to be a useful tool for beginners who are new to SIA to gain basic understanding of two of the most important tools for measuring impact, namely, Theory of Change and Impact Value Chain.

^{[3]}

## impact value analysi

Third, based on the mean impact value analysis, this paper differentiates and ranks the importance of input variables on installed capacity development.^{[1]}It can be referred from the mean impact value analysis of the proposed models that the interfacial properties are significantly dependent on the fiber’s diameters.

^{[2]}Finally, a mean impact value analysis is also conducted to evaluate the relative importance of the input variables to the output variable.

^{[3]}