Value Of Upper Limit Research Articles

GÖRÜNTÜ FİLTRELEME İLE DENETİMSİZ RETİNA DAMAR BÖLÜTLENMESİ İÇİN PARAMETRE ENİYİLEŞTİRİLMESİ

Göz hastalıklarının tespiti ve değerlendirilmesi için retina görüntüleri fundus adı verilen özelleştirilmiş bir kamera sistemi ile sayısal ortamda elde edilmektedir. Çeşitli gürültüler ve keskin olmayan zıtlık dolayısıyla gözdeki damarların uzmanlar tarafından tespiti zorlaşmakta ve bu durum uzmanların teşhis koymasını zorlaştırabilmektedir. Bu çalışmada, fundus görüntülerinden retina damar örgüsü bölütlenme başarısını arttırmak amacıyla denetimsiz görüntü işleme tabanlı matematiksel morfoloji ve Coye filtreleme ve bağlantılı bileşen analizi yaklaşımları kullanılmıştır. Ek olarak, retina görüntüleri gürültü giderme ve zıtlık arttırmak için ön işlemden geçirilmiştir. Denetimsiz görüntü işleme tabanlı yaklaşımların başarısını arttırmak üzere parametre optimizasyonu yapılmıştır. Görüntü işlemede sıklıkla kullanılan kontrast sınırlı adaptif histogram eşitleme (KSAHE) yönteminde renkli retina görüntüleri için en uygun kontrast üst sınır değeri araştırılmıştır. Önerilen yaklaşım, araştırmacıların erişimine açık DRIVE ve STARE veri kümelerinde test edilmiştir. Önceki denetimsiz öğrenme çalışmalarına kıyasla bazı metriklerde başabaş ve bazı metriklerde daha başarılı sonuçlara ulaşılmıştır.

Real-time trajectory privacy protection based on improved differential privacy method and deep learning model

Accurate and real-time trajectory data publishing plays an important role in providing users with the latest traffic and road condition information to help in rationally planning travel time and routes. However, the improper publishing of location information and reverse analysis and reasoning can easily leak users’ personal information, which may threaten users’ privacy and lives. Owing to the inclusion of differential privacy model noise, privacy protection introduces inaccuracies in data publishing and validity. To improve the accuracy and usability of published data, we propose a data publishing method based on deep learning and differential privacy models for securing spatiotemporal trajectory data publishing. The method divides the trajectory data into two-dimensional grid regions, counts the density of trajectories at grids, performs a top-down recursive division of regions, and formulates rules for privacy budget allocation from multiple perspectives as recurrence depth increases. Furthermore, the method integrates spatiotemporal sequence data according to temporal order. Subsequently, it extracts temporal and spatial features of the data by the temporal graph convolutional network model for budget matrix prediction, adds Laplace noise to the regions, and evaluates the effect of differential privacy protection with the original data to protect trajectory data privacy. Experiments demonstrate that under the premise of satisfying ε-difference privacy, the query error and Jensen–Shannon divergence are smaller, the Kendall coefficient is more consistent, and the upper and lower limit values are more stable. Hence, the top-down division method achieves better results than those of the two traditional region division methods of the uniform grid and adaptive grid. The proposed method can be used to allocate the privacy budget more reasonably and achieve privacy protection of trajectories, which can be applied to a large amount of spatiotemporal trajectory data.

Magnesium isotopes and zircon geochemistry verify the entrainment of garnet increasing the maficity of S-type granites

It is controversial how S-type granites get higher maficity (MgO + FeOt) than initial melts derived from metasedimentary rocks. Different models, including source-controlled processes (residual/peritectic mineral assemblage entrainment), mixing of magmas derived from different source rocks, and fractional crystallization, have been proposed. However, whole-rock major-trace element and radiogenic isotope data generally provide ambiguous constraints to these models, and the entrained minerals can be later modified by host magmas to have re-equilibrated compositions or replaced by new mineral phases. We address this issue by means of whole-rock Mg isotope and zircon trace element and O isotope analyses on the ∼250 Ma Jiuzhou S-type granite pluton from South China. δ26Mg values of the granites exhibit a negative relationship with increasing maficity, varying from −0.14‰ at 3.00 wt% to −0.43‰ at 8.72 wt%. Zircon yields high and variable δ18O values of 10.0–15.2‰, suggesting that the dominant source rocks are metasedimentary rocks with heterogeneous compositions. No relationship between zircon δ18O value versus whole-rock δ26Mg value or maficity is observed, indicating that magma mixing has played a negligible role in the origin of the granites. Meanwhile, neither Hf nor Ti concentration in zircon shows correlation with whole-rock maficity, precluding fractional crystallization as the dominant mechanism for the compositional variation of the granites. Instead, zircon from granite samples with different maficities seems to have grown from magmas with different compositions but rather similar initial magma temperatures of ca. 810–850 °C as suggested by the upper limit values of the Ti-in-zircon thermometer. Consequently, the negative relationship between δ26Mg value and maficity is best explained as melt entraining a solid assemblage from the melting source, with garnet as the main ferromagnesian phase because this phase is enriched in lighter Mg isotopes than other ferromagnesian phases. This conclusion is supported by the negative relationship between δ26Mg and (Yb/Dy)N values, since garnet is also enriched in heavy rare earth elements (HREE). Furthermore, phase equilibrium modeling using the sample with the lowest δ26Mg value and highest maficity indicates that garnet is always the dominant ferromagnesian phase (exceeding 50% to nearly 100% among the ferromagnesian phases) in the solid assemblage, which equilibrates with melt across a variety of P–T–H2O initial magma conditions (6–8 kbar/800–900 °C/1–5 wt% H2O) at the melting sources. Simple mixing calculations also confirm that the mixing between melt and a solid assemblage consisting mainly of garnet can account for the compositional variation of Mg isotopes with maficity. This study highlights the advantage of integrated geochemical analyses, particularly Mg isotopes, in placing important constraints on the petrogenetic processes that produce high-maficity S-type granites.

ANALISIS PENGENDALIAN KUALITAS DENGAN METODE STATISTICAL PROCESS CONTROL PADA PRODUK SOLAR WATER HEATER

This study aims to determine the quality control of Solar Water Heater products at PT Wijaya Karya Industri Energi has been running optimally. This type of research is descriptive research. Data collection is done by using observation technique, while the data analysis method uses statistical process control. The results of the calculation of the percentage value of each sub group, the center line value (CL), the upper limit value (UCL), and the lower limit value (LCL) in the Solar Water Heater production process are within the control limits except for the A & B and C press fin processes. Based on the Damage Standard that has been set by PT Wijaya Karya Industri Energi, the damage during the research period did not exceed the Damage Standard limit, it shows that the quality control implemented by PT Wijaya Karya Industri Energi has been running optimally.

Evaluating the Atmospheric Loss of H2 by NO3 Radicals: A Theoretical Study

Molecular hydrogen (H2) is now considered among the most prominent substitute for fossil fuels. The environmental impacts of a hydrogen economy have received more attention in the last years, but still, the knowledge is relatively poor. In this work, the reaction of H2 with NO3 radical (the dominant night-time detergent of the atmosphere) is studied for the first time using high-level composite G3B3 and modification of high accuracy extrapolated ab initio thermochemistry (mHEAT) methods in combination with statistical kinetics analysis using non-separable semi-classical transition state theory (SCTST). The reaction mechanism is characterized, and it is found to proceed as a direct H-abstraction process to yield HNO3 plus H atom. The reaction enthalpy is calculated to be 12.8 kJ mol−1, in excellent agreement with a benchmark active thermochemical tables (ATcT) value of 12.2 ± 0.3 kJ mol−1. The energy barrier of the title reaction was calculated to be 74.6 and 76.7 kJ mol−1 with G3B3 and mHEAT methods, respectively. The kinetics calculations with the non-separable SCTST theory give a modified-Arrhenius expression of k(T) = 10−15 × T0.7 × exp(−6120/T) (cm3 s−1) for T = 200–400 K and provide an upper limit value of 10−22 cm3 s−1 at 298 K for the reaction rate coefficient. Therefore, as compared to the main consumption pathway of H2 by OH radicals, the title reaction plays an unimportant role in H2 loss in the Earth’s atmosphere and is a negligible source of HNO3.

High-Sensitivity Cardiac Troponin and the 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guidelines for the Evaluation and Diagnosis of Acute Chest Pain.

The 2021 American Heart Association/American College of Cardiology/American Society of Echocardiography/American College of Chest Physicians/Society for Academic Emergency Medicine/Society of Cardiovascular Computed Tomography/Society for Cardiovascular Magnetic Resonance guidelines for the evaluation and diagnosis of acute chest pain make important recommendations that include the recognition of high-sensitivity cardiac troponin (hs-cTn) as the preferred biomarker, endorsement of 99th percentile upper reference limits to define myocardial injury, and the use of clinical decision pathways, as well as acknowledgment of the uniqueness of women and other patient subsets. Details on how to integrate hs-cTn into clinical practice are less extensively addressed. Clinicians should be aware of some of the analytical aspects related to hs-cTn assays regarding the limit of detection and the limit of quantitation and how they are used clinically, especially for the single sample strategy to rule out acute myocardial infarction. Likewise, it is important for clinicians to understand issues related to the derivation of the 99th percentile upper reference limit; the value of sex-specific 99th percentile upper reference limits; how to use changing concentrations (deltas) to facilitate diagnosis and risk stratification of patients with suspected acute coronary syndrome, including the differentiation of acute from chronic myocardial injury; and how to best integrate the use of hs-cTn with clinical decision pathways. With the use of hs-cTn, conditions such as type 2 myocardial infarction become more common, whereas others such as unstable angina become less frequent but still occur. Sections relating to these issues are included.

Non-linear displacement and deformation damage limits of reinforced concrete circular columns by analytical observations according to TBSC 2018

In the study, based on the non-linear calculation methods used to determine the seismic performance of structures in TBSC 2018, the stress-strain, moment-curvature, displacement capacity, plastic rotation limits, and deformation-based damage limit values of the reinforced concrete circular cross-section columns were calculated and compared according to different design parameters. The studied effects of the design parameters on the non-linear relation of reinforced concrete columns were also evaluated in terms of strength, curvature, and displacement ductility of the sections. All design parameters affecting the non-linear behavior and deformation limits of the reinforced concrete circular cross-section columns were taken into account. Deformation demands for reinforced concrete structural members are essential for detecting element damage. Based on TBSC (2018), non-linear relationships of reinforced concrete columns were obtained in order to calculate plastic hinge properties and deformation limits. For the Limited Damage, Controlled Damage, and Collapse Prevention performance levels defined for the structural elements in TBSC 2018, plastic rotation and deformation limit values were obtained according to the characteristic values calculated from the non-linear analyzes of reinforced concrete circular columns. For column models, damage limits and damage zones calculated based on TBSC 2018 were shown on the visually obtained moment-curvature relationships. Depending on the upper deformation limit values derived, cross-sectional deformation damage levels were determined and evaluated using the moment-curvature relationships. The variation of the non-linear behavior of column models by design parameters and deformation-based damage limits were examined both analytically and visually. The deformation limits remain in a safer direction as a result of increasing longitudinal and spiral reinforcement ratios for the reinforced concrete circular columns.

On the Efficacy of a Novel Optimized Tuned Mass Damper for Minimizing Dynamic Responses of Cantilever Beams

This study examines the optimal design of a tuned mass damper (TMD) in the frequency domain so that the dynamic response of cantilever beams can be decreased. Random vibration theory is applied to identify the mean square acceleration of the endpoint of a cantilever beam as the objective function to be reduced. In addition, to determine the optimal TMD coefficient of mass, stiffness, and damping, a differential evolution (DE) optimization algorithm is employed. The upper and lower limit values of these parameters are taken into account. A majority of the previous studies have concentrated on determining just the stiffness and damping parameters of TMD. Nonetheless, in this study there is also the optimization of TMD mass parameters to determine the mass quantity. In addition, there has been inefficient use of the stochastic DE optimization algorithm method for the optimization of TMD parameters in previous studies. Hence, to obtain optimal TMD parameters, this algorithm is precisely used on the objective function. Tests are carried out on the cantilever beam with the TMD system following this optimization method with harmonic base excitations that resonate the foremost modes of the beam and white noise excitation. The method proposed here is reasonably practical and successful regarding the optimal TMD design. When a TMD is designed appropriately, the response of the cantilever beam under dynamic interactions undergoes a considerable reduction.

On the Method of Design Drift-Ice Concentration and Floe Area for New-Energy Structures in Ice-Infested Nearshore Areas of the Bohai Sea, China

To provide basic drift-ice parameters for new-energy structures in ice-infested nearshore waters, an estimation method of the design drift-ice concentration and floe area was established. A total of 700 satellite images in winters from 2010 to 2021 were used to obtain the drift-ice concentration and floe area from 26 sites in the Bohai Sea. The floe area with 90% cumulative probability was selected as the characteristic floe area in each satellite image. Furthermore, the water temperature threshold ranging from −1.6 °C to −0.5 °C was adopted by considering the drift-ice freezing/melting states because of different salinity values in nearshore waters. The upper limit values of the ice concentration and characteristic floe area at the lowest water temperature of −1.6 °C were finally used as the design drift-ice indexes. The maximum design ice concentrations (floe area) in the Liaodong Bay, Bohai Bay, and Laizhou Bay were 96% (0.43 km2), 91% (0.39 km2), and 87% (0.29 km2), respectively. The design ice concentration at the bay bottom was higher than that near the mouth. The design floe area in the Liaodong Bay and Bohai Bay increased with latitudes, but the trend was opposite in the Laizhou Bay. The method developed in the current study has universal applicability, which can be extended to other ice-cover waters and specific structure designs by adjusting the cumulative probability threshold and the water temperature threshold.

Partition layout inside a muffler integrated with a thermoelectric generator: Multi-physics analysis and optimal design

A multi-physics-analysis-based topology optimization (TO) method is proposed to optimally design the internal partition layout of a muffler integrated with a thermoelectric generator (TEG). The basic equations governing the acoustical behavior, heat transfer, and fluid flow in the muffler are introduced, and their interaction is designated for exact numerical analysis in terms of acoustics, heat transfer, and fluid mechanics. To implement density-based TO, one design variable is assigned to each finite element in the design domain, and interpolation functions suitable for each physics phenomenon are employed. In the TO problem formulation, the sum of the squared acoustic pressures at the outlet of the muffler for multi-target frequencies is selected as an objective function to achieve broadband noise attenuation. The temperature of the TEG and the pressure drop are constrained for high energy recovery efficiency and fluid passage, respectively. The optimization problem formulated for the muffler design is solved for various design conditions. Optimal partition layouts are obtained depending on the location and length of the TEG, the upper limit value of the pressure drop, and the number of target frequencies in the same frequency band. The noise attenuation performances of each partition layout are compared, and their expected recovery energies are calculated. One optimal partition layout is discussed in terms of acoustics, heat transfer, and fluid mechanics. The numerical results strongly support the validity of our proposed method for the optimal design of a muffler integrated with a TEG.

Optimization of anchorage and deviator for concrete beams prestressed with external fiber-reinforced polymer tendons

This paper focuses on the optimization of anchorage and deviator for concrete beams prestressed with external basalt fiber-reinforced polymer (BFRP) tendons. A composite-wedge (CW) anchorage for BFRP tendons was first developed. The dimensions of the wedge were optimized using finite element (FE) analysis. Additionally, a three-dimensional deviator-tendon FE model was established, and the ratio of the curvature radius of the deviator to the radius of the tendon (Rd/Rp) and the bending angle (θ) of the BFRP tendon were optimized. Furthermore, an experimental study on the flexural behaviors of a non-prestressed concrete beam and a beam prestressed with external BFRP tendons was conducted. The results show that the proposed CW anchorage achieved an anchor efficiency factor of 85%. The recommended lower limit value of Rd/Rp is 200, and the upper limit value of θ is 5°. The RC beam prestressed with external BFRP tendons exhibited enhanced flexural behaviors, compared with the non-prestressed RC beam. The BFRP tendons at the anchor zones and tendons at the deviators remained intact at the ultimate load of the beam. The results validate the effectiveness of the anchorage and deviator parameters.

Implementation of Winsorizing and random oversampling on data containing outliers and unbalanced data with the random forest classification method

Many researchers conduct research using the classification method, to find out the best method for predicting the class of an observation. Some of these studies explain that random forest is the best method. However, the classification of data containing outliers and unbalanced data is a complicated problem. Many researchers are also conducting research to deal with these problems. In this study, we propose a winsorizing to deal with outliers by replacing the outlier values with the upper and lower limit values obtained from the interquartile range method and random oversampling to balance the data. It is also known that cases of the Human Development Index (HDI) in regencies/cities in eastern Indonesia vary widely, so cases of HDI in these areas can be used as case studies of data containing outliers and unbalanced data. The purpose of this study was to compare the performance of the random forest before and after the data were applied to the winsorizing and random oversampling to predict HDI in districts/cities in eastern Indonesia. Classification method random forest after handling data containing outliers and unbalanced data has better performance in terms of accuracy and kappa values, which are 96.43% and 93.41%, respectively. The variables of expenditure per capita and the mean years of schooling are the most important.

Estimation of the upper flammability limits for alkanes in air at increased pressures

Abstract A method is proposed to predict the upper flammability limits for alkanes in air at increased pressures. The upper flammability limits for methane, ethane, propane and n-butane/air mixtures at ambient temperature and initial pressure of 0.3 MPa–2.0 MPa are identified through the adiabatic flame temperature calculation model. The association of calculated adiabatic flame temperature with pressure is presented to determine the upper flammability limit. Research shows the good agreement between the forecast upper flammability limits with pressure dependence and the experimental upper flammability limit values. The average relative error of the estimated upper flammability limits for alkanes in air at high pressures reaches 2.52%.

Elemental Composition Analysis of Soil Samples from Bayelsa State in the Niger Delta Region of Nigeria

This study analysis the elemental composition and concentration of elements in the soils of the study area to ascertain degree of elemental enhancement in the soil resulting from anthropogenic activities with possible soil contamination, human health and environmental detriment. The study area was divided into eight grids and two soil samples per grid from over burden to a depth of 900mm was collected randomly in each grid. The samples were prepared using standard methods and analyzed with a linear accelerator. The number of detectable elements and their quantitative information was extracted from the elemental spectral signatures. . The result showed a high concentration value in some elements in the soil samples above values of elemental concentrations in soils from other reported studied region. In addition, Aluminium, Strontium, Barium, Gallium etc also showed an extremely high value in their concentration that exceeds the world wide mean range upper limit values in crustal soil study published. The study indicates some degree of potential contamination and therefore necessitate a regular periodic monitoring study to reduce potential health detriment to humans and the environment to as low as reasonably possible.

Particle breakage investigation of construction waste recycled aggregates in subgrade application scenario

This paper investigated the particle breakage of recycled aggregates from construction and demolition wastes used as subgrade materials. The laboratory tests include two steps, namely, specimen preparation and dynamic triaxial tests. From the view of particle breakage, multiple specimens with different gradations and compositions were analyzed comparatively using two preparation methods, including impact compaction and vibrating compaction. In the dynamic triaxial tests, the permanent deformation, volumetric strain and particle breakage indexes under different loading conditions were measured, and the prediction model was established to determine the stress state-breakage indexes via the correlation analysis. The gradation of tested aggregates designed by the continuous equation after experiments can be calculated by the measured breakage indexes. Relative breakage rates would be close to the upper limit value with the increasing of the loading cycles, and a determination method of the stable gradation was proposed based on the fractal theory.

Implementasi Fuzzy Multi Criteria Decision Making Pada Seleksi Beasiswa Bank Indonesia

The Bank Indonesia Scholarship is a scholarship provided by Bank Indonesia for students at various universities, one of which is UIN Maulana Malik Ibrahim Malang. In the scholarship selection process, there are several criteria that affect the graduation of prospective scholarship recipients. However, often the process is not transparently. So a calculation method is needed, one of which is using Fuzzy Multi Criteria Decision Making (FMCDM). With FMCDM it can help to get an accurate and optimal decision on scholarship recipients. The FMCDM process begins with collecting information related to scholarships, scholarship applicants, and a set of criteria that will be used for consideration of scholarship acceptance. The set of criteria consists of 11 criteria, namely, Academic Achievement Index (GPA), international level achievement, national level achievement, provincial level achievement, district/city level achievement, father's occupation, mother's income, number of family dependents, house area, land and building tax, as well as electricity bills. The next step is to evaluate the fuzzy set by aggregating the weight of the criteria and the degree of compatibility of each alternative with the criteria. The aggregation result is called the fuzzy fit index which consists of 3 values, namely, the y value which represents the lower limit of the aggregation result, the q value which represents the middle limit, and the z value which represents the upper limit value. The three values are ranked using a ranking method for fuzzy numbers with a degree of optimism. So that the total integral value for each alternative will be obtained, which will be the decision in accepting the scholarship. From the results of the FMCDM, there is a ranking of decision alternatives from the highest priority to the lowest in determining scholarship acceptance.

Study on the effect of multi-point stretch-bending processing conditions on the section distortion of complex cross-sectional parts

Section distortion is a common defect in plastic forming, however, excessive section distortion will affect the actual use of the workpiece. In this paper, the finite element software ABAQUS is used to simulate the multi-point flexible stretch-bending process. Processing parameters are important factors in the forming process of the profile, so this paper discusses the effects of three processing parameters, namely the effects of pre-stretching amount, pro-stretching amount and friction coefficient on section distortion under different bending radius, taking the complex cross-sectional T-profile as an example. And the validity of the simulation results is verified by comparing with the experimental results and the simulation results. At the same time, the upper limit value of section distortion is given according to the actual assembly and use of aluminium profile components of high-speed train head frame, and the minimum bending radius (i.e., processing limit) for which the section distortion does not exceed the given value under different process parameters is explored and used for practical production guidance.

Pediatric Continuous Reference Intervals of Serum Insulin-like Growth Factor 1 Levels in a Healthy Chinese Children Population – Based on PRINCE Study

ObjectivesWe aimed to establish age- and sex-dependent reference intervals for insulin-like growth factor 1 (IGF-1) based on the measurements of healthy Chinese children from the pediatric reference intervals in China study and to investigate whether body mass index (BMI) and height affect IGF-1 levels. MethodsA total of 3753 individuals with eligible blood specimens resampled from the pediatric reference intervals in China population were enrolled as reference individuals. IGF-1 levels were measured using a chemiluminescent immunoassay kit. The lower limit and upper limit values of the reference individuals were calculated by defining the 2.5th and 97.5th percentiles. The skewness-median-coefficient of variation method was used to calculate the standard deviation score (SDS) of serum IGF-1, and cubic spline curves were applied to depict a smoothed curve for each age- and sex-specific stratification of the L, M, and S parameters. ResultsSerum IGF-1 levels increased with age from the age of 1 year, peaking at around the age of 13 years in girls and 15 years in boys and then began to decline (both P <.001). Before 14 years, IGF-1 levels were higher in girls than in boys at the same age, and the difference was statistically significant (P < .05), but there was no significant difference in the IGF-1 levels between girls and boys aged 14 to 16 and 18 years. The Spearman correlation coefficients of height SDS, weight SDS, and BMI SDS with IGF-1 SDS were 0.29, 0.33, and 0.20, respectively (P < .001). ConclusionThis study established age- and sex-specific normative IGF-1 data for Chinese children and adolescents between the ages of 1 and 19 years. The BMI and height SDS had no effect on IGF-1 levels in healthy children.

Simplified Markovian-based pavement management model for sustainable long-term rehabilitation planning

A simplified pavement management model for developing a long-term rehabilitation schedule is proposed for flexible pavement. The model deploys the discrete-time Markov model to predict the deterioration of both original and rehabilitated pavement performances. The main objective of the proposed model is to generate optimal annual rehabilitation cycles over a specified analysis period. This objective is achieved by optimising a cost-effectiveness index defined as the ratio of anticipated performance improvement and annual rehabilitation cost. It therefore seeks to find the optimal annual rehabilitation cycle that maximises pavement condition improvement and minimises rehabilitation cost. The corresponding optimum model is subject to a number of constraints that include the non-negativity constraints, upper-limit variable value constraints, and budget constraints. However, the rehabilitation variables are incorporated into the state probabilities rather than the transition matrix when predicting future deterioration of rehabilitated pavement. The optimum model can simply be solved using an exhaustive search approach as it makes use of a limited number of rehabilitation variables. Two case studies are presented to demonstrate the potential uses of the proposed model. The first one examined the relationship between variable budget levels and sustainable long-term pavement performances, whereas the second one investigated the long-term cost-effectiveness of individual rehabilitation treatments. Generally, the sample results re-emphasised the famous theme of ‘better roads at lower costs’.

Effect of Leaf Area Index on Green Facade Thermal Performance in Buildings

Green facades applied on a building’s envelope allow achieving the building’s passive thermal control and energy consumption reduction. These are complex systems and many site- and plant-specific parameters influence their energy behavior. The leaf area index (LAI) is a relevant plant characteristic to consider. Solar shading and latent heat loss of plant evapotranspiration are the two main cooling mechanisms. The aim of this study was to assess the cooling effect provided by an evergreen south oriented green facade in summer in a Mediterranean area and to investigate what happens when LAI changes. Experimental data were used to calculate the cooling effect provided by the facade. Simulations with different LAI values were performed to determine the related cooling effect. The canopy solar transmissivity decreased by 54% for every LAI unit increase. LAI significantly influenced the green facade cooling performance. As LAI increased, solar shading and latent heat increased; this was relevant until an upper limit value of 6. An exponential equation to calculate the mean extinction coefficient (km), and a polynomial relationship, with very good agreement, were proposed to calculate shading and latent heat as function of LAI. The findings of this research can effectively contribute to fill still existing gaps on green facades’ energy performance and to the energy simulation of buildings equipped with them.