Thermal Modeling of a Historical Building Wall: Using Long-Term Monitoring Data to Understand the Reliability and the Robustness of Numerical Simulations

Thermal modeling of building components plays a crucial role in designing energy efficiency measures, assessing living comfort, and preventing building damages. The accuracy of the modeling process strongly depends on the reliability of the physical models and the correct selection of input parameters, especially for historic buildings where uncertainties on wall composition and material properties are higher. This work evaluates the reliability of building thermal modeling and identifies the input parameters that most affect the simulation results. A monitoring system is applied to a historic building wall to measure the temperature profile. The long-term dataset is compared with the result of a simulation model. A sensitivity analysis is applied for the determination of the influential input parameters. A two-step optimization is performed to calibrate the numerical model: the first optimization step is based on an optimized selection of the database materials, while the second optimization step uses a particle swarm algorithm. The results indicate that the output of the simulation model is largely influenced by the coefficients describing the coupling with the boundary conditions and by the thermal conductivities of the materials. Very good results are obtained already after the first optimization step ((Formula presented.) while the second optimization step improves further the agreement ((Formula presented.). The parameter values reported in the datasheets do not match those found through optimization. Even with extensive optimization using an algorithm, starting with monitoring data is insufficient to identify material parameter values

The Upper Extremity Functional Index (UEFI). Cross-cultural adaptation, reliability, and validity of the italian version

SUMMARY Introduction. The Italian version of the Upper Extremity Functional Index (UEFI) may help assess shoulder function in patients with shoulder problems, especially athletes. Objective. Translate and cross-culturally adapt UEFI into Italian; verify UEFI validity and reliability in professional and amateur athletes with upper limb musculoskeletal disorders, shoulder, in particular. Methods. This study was conducted with 150 participants with musculoskeletal disorders of the upper limb. UEFI, the short version of the Disability of the Arm, Shoulder and Hand scale (Quick DASH), the Shoulder Pain and Disability Index, and the Short Form-36 Health Survey (SF-36) were administered. Acceptability was assessed in terms of refusal rate, rates of missing responses, and administration time; test-retest reliability was assessed with intraclass correlation coefficient (ICC); internal consistency was assessed with Cronbach’s alpha coefficient, and validity was assessed by Pearson’s correlation coefficients. Results. Cronbach’s alpha coefficients for the UEFI on test and retest were α = 0.979 and α = 0.985, respectively. The average measure ICC was 0.917. The UEFI score demonstrated strong negative correlations with SPADI total score (-0.636), Quick DASH score (-0.685), and SF-36 score (-0.327). Conclusions. The Italian version of UEFI is acceptable, valid, and reliable

Tests of Universality of Baryon Form Factors in Holographic QCD

We describe a new exact relation for large $N_c$ QCD for the long-distance behavior of baryon form factors in the chiral limit, satisfied by all 4D semi-classical chiral soliton models. We use this relation to test the consistency of the structure of two different holographic models of baryons.Comment: 4 pages. Talk presented by MN at Light Cone 2009: Relativistic Hadronic and Particle Physics, 8-13 Jul 2009, Sao Jose dos Campos, Brazi

Compulsive Painting: A Variant of Hypergraphia?

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