Scaling Methodology Research Articles

Advanced mood tracking using waveform statistical signal processing techniques

Tracking one’s mood over time is useful for assessing one’s response to life events and improving self-awareness and emotional regulation. It is also useful for diagnostic purposes for practitioners to determine the emotional stability of their patients using empirical techniques. Most mood trackers however tend to be extremely simplistic and are subject to the subjective analysis of whoever is assessing the results, leading to bias and inaccurate interpretations. Moreover, a manual human analysis is incapable of accurately detecting all patterns and trends in mood given enough data points, which may lead to critical insights being overlooked. Recent advancements in mood tracking mobile apps help alleviate this problem, but they vary widely in their data analysis techniques and tracking scale methodologies. The contents of this paper propose a more sophisticated theoretical framework, which treats mood data points over time as a time series waveform similar to what might be found from a signal in electronic systems. This framework allows standard and robust statistical signal processing techniques to be utilized and can be adapted to any particular numerical mood tracking scale. The calculations of the assessment data provide unbiased empirical analysis metrics which one can simply calculate from the data. When the tracker scale is mapped appropriately, this “mood signal” can also be analyzed in the frequency domain via a Fourier transform, which sheds light onto possible mood periodicities to better determine the source of undesirable behavioral patterns. All of these metrics together allow for a detailed, unbiased, entirely empirical analysis of mood as a function of time.

Efficacy of thymosin-α-1 in patients with COVID-19: A systematic review and meta-analysis

Objective To identify whether thymosin-α-1 (Tα1) is effective in patients with Coronavirus disease 2019 (COVID-19) and to determine a suitable population for Tα1 treatment. Methods We included studies with ≥10 cases and adults (aged ≥18 years) with laboratory-confirmed SARS-CoV-2 infection, data on mortality or length of hospitalization, disease severity, and study location, while excluded pregnant and breastfeeding women and minors. Publications were searched from November 1, 2019, to July 5, 2023, in six databases, including PubMed, Web of Science, Embase, Cochrane Library, China Knowledge Resource Integrated Database, and Wanfang Database. We separately utilized Newcastle-Ottawa Scale and Cochrane handbook methodology to evaluate risk of bias and used Review Manager (version 5.4, Cochrane Collaboration, Copenhagen, Denmark) to present and synthesize results. Relative risks (RR) and Standardized Mean Difference (SMD) with 95% confidence intervals (CI) were analyzed for dichotomous variables and continuous variables, respectively. Results Nine studies (participants = 5417) were included. No significant differences were found in mortality (nine studies; n = 5417; RR = 0.95; 95% CI: 0.56, −1.60; p = .84; I2 = 90%) or length of hospitalization (four studies; n = 3688; SMD = 0.16; 95% CI: −0.38, −0.69; p = .57; I2 = 96%) between patients with COVID-19 who did and did not receive Tα1. Participants were divided by the severity of the disease (serious and non-serious) and study location. Among the serious group, the incidence of death among patients who received Tα1 treatment was 0.67 times that of patients who did not receive Tα1 treatment (four studies; n = 1230; RR: 0.67; 95% CI: 0.58, −0.77; p < .00,001; I2 = 0%). There was no significant difference in length of hospitalization between the groups (two studies; n = 410; SMD = 0.66; 95% CI: −0.06, −1.38; p = .07; I2 = 87%). Among the non-serious group, compared to not having Tα1 treatment, receiving Tα1 treatment reduced hospitalization length (two studies; n = 3670; SMD = −0.28; 95% CI: −0.41, −0.14; p < .0001; I2 = 51%), while no significant difference in mortality (three studies; n = 3775; RR = 1.06; 95% CI: 0.22, −5.03; p = .94; I2 = 89%). Moreover, there was no significant difference between subgroups when divided by study locations (Studies within China: seven studies; n = 5263; RR = 1.14; 95% CI: 0.64, −2.04; p = .65; I2=92%; Studies outside of China: two studies; n = 154; RR = 0.41; 95% CI: 0.14, −1.24; p = .11; I2 = 51%). Discussion For patients with serious types of COVID-19, Tα1 significantly decreased mortality, which supports the utilization of Tα1 in patients with severe and critical types of COVID-19. Moreover, regarding hospitalization length, patients with non-serious COVID-19 who used Tα1 reduced their hospitalization length compared to those that did not use Tα1. However, these results have high heterogeneity and limited generalizability.

Miniaturization of 2 × 4 90-Degree Hybrid Optical Couplers

In this work we study the limits of miniaturization of a 90-degree hybrid coupler working in the L, C and S bands, with respect to a number of performance parameters aimed at its application for balanced detection. We investigate the main effects responsible for the degradation of the performance of the devices during miniaturization, and establish the minimal dimension that such devices can have without significant degradation for photonic applications such as balanced detection. The miniaturized device in InP generic technology has a footprint of only 2200μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> , more than 5 times smaller than the conventional device used as reference. The scaling approach is based on the use of the number of propagating modes which are sustained in both the miniaturized MMI and port waveguides as scaling parameters. This approach allows us to generalize the miniaturization problem from a specific platform and offers a methodology which is flexible and transferable to multiple platforms. We tested the scaling methodology based on the number of modes in other platforms commonly used in integrated photonics, such as Si/SiO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> (SOI), TriPleX or polymer platforms, obtaining comparable results and proving the universality of our approach, finally we performed a fabrication tolerance analysis of the miniaturized devices.

Evaluating preferences for online psychological interventions to decrease cannabis use in young adults with psychosis: An observational study

Innovative technology-based solutions have the potential to improve access to clinically proven interventions for cannabis use disorder (CUD) in individuals with first episode psychosis (FEP). High patient engagement with app-based interventions is critical for achieving optimal outcomes. 104 individuals 18 to 35 years old with FEP and CUD from three Canadian provinces completed an electronic survey to evaluate preferences for online psychological intervention intensity, participation autonomy, feedback related to cannabis use, and technology platforms and app functionalities. The development of the questionnaire was informed by a qualitative study that included patients and clinicians. We used Best-Worst Scaling (BWS) and item ranking methodologies to measure preferences. Conditional logistic regression models for BWS data revealed high preferences for moderate intervention intensity (e.g., modules with a length of 15 min) and treatment autonomy that included preferences for using technology-based interventions and receiving feedback related to cannabis use once a week. Luce regression models for rank items revealed high preferences for smartphone-based apps, video intervention components, and having access to synchronous communications with clinicians and gamification elements. Results informed the development of iCanChange (iCC), a smartphone-based intervention for the treatment of CUD in individuals with FEP that is undergoing clinical testing.

What do chocolate consumers want? Exploring individual preferences and profiles, considering lifestyle, food habits and socio-demographic features

This study assesses the declared preferences of a sample of Italian consumers (n=657) towards chocolate, considering their sociodemographic variables, lifestyle and food habits. Firstly, the Best-Worst scaling (BWS) methodology was employed to define the relative importance assigned by consumers to 12 chocolate attributes. Additionally, the Latent Class analysis was used to identify different preference-based chocolate consumers segments. The Multinomial Logistic Regression was applied to explore the possible relationships between individuals’ socio-demographic, lifestyle and food habit variables and the cluster membership. The main findings showed that “typology”, “brand” and “label information” were the most important attributes for chocolate choices, while “quality certifications”, “ethical attributes” and “packaging” resulted as not important for product selection. Five different consumer clusters were defined: the MRL highlighted how certain socio-demographic variables, such as age or level of education, influence the orientation of consumer choices. Also, sports activity, food habits and choices explain group membership very well.

A scaling methodology for high-power magnetically shielded Hall thrusters

The past two decades have seen an increasing interest in Hall thrusters in space propulsion, thanks to their favorable performance characteristics with respect to a wide variety of missions of current and future interest and to the significant extension in operational life potential achievable with magnetic shielding. Nevertheless, the physics underlying their behavior is complex and not yet fully understood, limiting the practical applications of models based on first principles due to their inability to self-consistently predict the device performance. Fortunately, modern Hall thrusters were developed through a lengthy process of gradual refinement, and thus they represent convenient reference devices to design new thrusters using appropriately defined scaling criteria. The objective of this work is to propose a new scaling methodology, especially intended for magnetically shielded high-power Hall thrusters. To this purpose, a novel phenomenological model for shielded thrusters is presented and discussed. This model includes free coefficients, whose values are chosen based on the agreement with the empirical data collected in a specially created high-power Hall thruster database. The proposed methodology features a new reference thruster and aims at keeping unchanged its main plasma intensive parameters in a scaling transformation. The possibility of creating performance maps at constant discharge power, which show how the scaling results vary with the channel dimensions, is also proposed as a preliminary design tool.

Development of a novel shared decision making aid for primary immunodeficiency diseases.

Aim: To describe development of a shared decision making (SDM) aid in treating primary immunodeficiency diseases (PID) with immunoglobulin replacement therapy (IGRT). Materials & methods: Expert engagement and qualitative formative research informed development. IGRT administration features were prioritized using object-case best-worst scaling (BWS) methodology. The aid was assessed by US adults self-reporting PID and revised following interviews/mock treatment-choice discussions with immunologists. Results: Patients participating in interviews (n=19) and mock treatment-choice discussions (n=5) deemed the aid useful/accessible and supported the utility of BWS, with content and BWS exercises refined following participant feedback. Conclusion: Formative research led to an improved SDM aid/BWS exercise, and illustrated how the aid may improve treatment decision making. The aid may help less-experienced patients and facilitate efficient SDM.

General thermomechanical model of FSW based on a characteristic temperature for deformation and heat transfer

This paper presents a coupled model of heat transfer and plastic deformation in friction stir welding (FSW), accounting for the temperature profile in the substrate near the pin. This approach is analogous to the boundary layer analysis in fluid mechanics and is based on the methodology of scaling and calibration based on published data. A model focusing on common conditions in FSW, such as relatively slow translation and high rotation velocities, a thin shear layer and the influence of the shoulder on the maximum temperature was reformulated. This paper extends previous work by considering the heat flow into the pin and an improved criterion for determining the temperature at the edge of the shear layer. The results are a set of updated closed-form expressions for the maximum temperature, the thickness of the shear layer, the shear stress around the pin, torque and thermal effect of the shoulder, applicable to all metals. The predictions from this model are verified against a comprehensive database of published experiments. Applications of this model also include the accelerated determination of procedure variables and the generalization of maps of process limits.

Combining Satellite-Derived PM2.5 Data and a Reduced-Form Air Quality Model to Support Air Quality Analysis in US Cities.

Air quality models can support pollution mitigation design by simulating policy scenarios and conducting source contribution analyses. The Intervention Model for Air Pollution (InMAP) is a powerful tool for equitable policy design as its variable resolution grid enables intra-urban analysis, the scale of which most environmental justice inquiries are levied. However, InMAP underestimates particulate sulfate and overestimates particulate ammonium formation, errors that limit the model's relevance to city-scale decision-making. To reduce InMAP's biases and increase its relevancy for urban-scale analysis, we calculate and apply scaling factors (SFs) based on observational data and advanced models. We consider both satellite-derived speciated PM2.5 from Washington University and ground-level monitor measurements from the U.S. Environmental Protection Agency, applied with different scaling methodologies. Relative to ground-monitor data, the unscaled InMAP model fails to meet a normalized mean bias performance goal of <±10% for most of the PM2.5 components it simulates (pSO4: -48%, pNO3: 8%, pNH4: 69%), but with city-specific SFs it achieves the goal benchmarks for every particulate species. Similarly, the normalized mean error performance goal of <35% is not met with the unscaled InMAP model (pSO4: 53%, pNO3: 52%, pNH4: 80%) but is met with the city-scaling approach (15%-27%). The city-specific scaling method also improves the R 2 value from 0.11 to 0.59 (ranging across particulate species) to the range of 0.36-0.76. Scaling increases the percent pollution contribution of electric generating units (EGUs) (nationwide 4%) and non-EGU point sources (nationwide 6%) and decreases the agriculture sector's contribution (nationwide -6%).

Climate risk assessment of the Tangier-Tetouan-Al Hoceima coastal Region (Morocco)

Coastal zones occupy a prominent position in the sustainable management perspective of Tangier-Tetouan-Al Hoceima (TTA) region because they accommodate a majority of the region’s population and contribute to the economic wellbeing of local communities. High demographic and economic pressures associated to climatic and environmental factors increase and intensify the vulnerability of these coastal areas. The latter are severely affected by climate change implications in the course of time, which lead to damage and loss in coastal low-lying zones. In practice, the risks related to climate change, as coastal risks, are frequently addressed, and assessing coastal risk in the context of climate change is a research priority. The aim of this work is to evaluate the flooding risk of TTA coasts, taking into account the inundation level related to the conditions of extreme wave (return period of 100-year) and extreme sea level rise. We firstly defined the coastal hazard zone that corresponds to the maximum inundation level of 13 m for the whole area. We then applied a Coastal Risk Index application at the Local Scale (CRI-LS) methodology to calculate forcing, vulnerability, exposure and risk indices using nineteen physical, environmental and socioeconomical variables. Findings show that coastal hazard zone of Tangier-Tetouan-Al Hoceima region is extremely exposed to coastal forcing. More than 50% of the hazard zones indicates highly vulnerable zones and highest exposure is generally focused on the most populated urban zones. In the light of this, the coastal risk mapping shows hotspot zones in terms of climate change-related coastal risks located at Tangier Bay, south of Tangier city, Fnideq and Martil coasts, Tetouan city and north of Ksar El Kbir city. This paper corresponds to a useful support that can help policy-makers in decision-making to quietly follow coastal planning and management processes and participate in preserving coastal areas for future generations, which support the sustainable development goals of Agenda 2030 started by the United Nations with the goal of eradicating all kinds of poverty.

Scale modeling of thermo‐structural fire tests

AbstractStandard methods for fire resistance testing require large‐scale assemblies and are typically conducted on specialized furnaces at considerable cost. This research focused on developing a scaling methodology for a reduced‐scale fire resistance test that reduces the size of the test article while maintaining the same thermal and structural response exhibited in the large‐scale test. The developed scaling methodology incorporates uniform geometric scaling, Fourier number time scaling, and furnace boundary condition matching. The scaling laws were experimentally validated with fire exposure tests on gypsum wallboard samples at three scales (full‐scale, 1/2‐scale, and 1/6‐scale). In the tests, samples were exposed to a full‐scale equivalent of 60‐min of ASTM E119 fire curve exposure on a reduced‐scale horizontal furnace, and the temperature rise through the thickness profile was measured. Models were created to calculate the modified fire curves for the smaller‐scale tests. Experimental results show that on the exposed surface, the 1/2‐scale absolute temperature was within 1.7% of full‐scale, while the 1/6‐scale temperature was within 2.5%. While the time‐dependent properties of burning and cracking caused visual differences in these gypsum tests, modeling and temperature measurements demonstrated that the test results were thermally similar. The good similarity of temperatures is achievable in fire exposure tests of non‐combustible gypsum wallboard down to 1/6‐scale.

Scaling of bi-material sandwich panels subjected to impact loadings

Scaling is a widely used concept in impact and explosion engineering which is mainly utilized to predict the response behaviour of large-scale mechanical structures by conducting experiments on scaled trial models. However, the practical application of currently available conventional scaling methodologies for impact and explosive processes are significantly restricted by their inability to properly capture the scale effects of strain rate and strain hardening. Also, they are suffering from an insufficient number of independent degrees of freedom. Furthermore, the zeroth-order finite similitude theory, which can annihilate the non-scalability of rate and hardening effects, doesn’t provide us with efficient scaling methods when the investigated structure is made out of different materials. More precisely, the zeroth-order finite similitude theory and the classical dimensional analysis, which are suffering from a limited number of independent degrees of freedom, cannot scale the elastic-plastic behaviour represented by different parts of a structure made out of different materials. In other words, classical scaling methodologies including dimensional analysis and even the zeroth-order finite similitude theory cannot fix two different features having the same unit using different degrees of freedom, which make them useless for structures made of more than one material such as bi-material sandwich panels. In the presented paper, a new scaling methodology is developed based on the recently proposed first-order finite similitude theory which for the first time enables us to capture the rate dependent plastic behaviour of an impacted structure made out of two different materials. A sandwich panel made of two different materials which is subjected to an impact loading is considered as the case study in order to investigate the efficiency of the proposed first-order based scaling technique. The numerical results are determined using Abaqus finite element software in which the Johnson-Cook constitutive equation is utilized to take into account the rate and hardening effects on the initial yield stress. The results reveal that the behaviour of impacted full-scale bi-material sandwich panels can be predicted with a high accuracy when the extra degree of freedom provided us with the first-order finite similitude (i.e. R1) is set to vary between −1 and 1 (i.e. [Formula: see text]). Furthermore, it is found that the pure mechanical and thermo-mechanical behaviour of the impacted core honeycomb are highly accurately predicted using scaled-down trial models which are made from dissimilar materials and designed based on the zeroth-order finite similitude theory.

Benchmarking the operational efficiency of Mexican hospitals – a longitudinal study

PurposeThis study aims to benchmark the operational efficiency of fifty-eight public hospitals across Mexico between 2015 and 2018 and identifies the most critical inputs affecting their efficiency. In doing so, the study analyzes the impact of policy changes in the Mexican healthcare system introduced in recent years.Design/methodology/approachTo measure the operational efficiency of Mexican public hospitals, data envelopment analysis (DEA) window analysis variable returns to scale (VRS) methodology using longitudinal data collected from the National Institute for Transparency and Access to Information (IFAI). Hospital groups are developed and compared using a categorization approach according to their average and most recent efficiency.FindingsResults show that most of the hospitals in the study fall in the moving ahead category. The hospitals in the losing momentum or falling behind categories are mostly large units. Hospitals with initially low efficiency scores have either increased their efficiency or at least maintained a steady improvement. Finally, the findings indicate that most hospitals classified as moving ahead focused on a single care area (cancer, orthopedic care, child care and trauma).Research limitations/implicationsThis study examined the technical efficiency of the Mexican healthcare system over a four-year period. Contrary to conventional belief, results indicate that most public Mexican hospitals are managed efficiently. However, recent changes in public and economic policies that came into effect in the current administration (2018) will likely have long-lasting effects on the hospitals' operational efficiency, which could impact the results of this study.Originality/valueTo the best of authors’ knowledge, this is the first study that examines the efficiency of the complex Mexican healthcare system using longitudinal data.

Economic efficiency in grant funding evaluations: streamlining knowledge-intensive applications in Kazakhstan

The study proposes an evolution of the grant evaluation system from a dual focus on «form and content» to a «content-centric» model to enhance the efficacy and quality of scientific research. This novel approach, intended for incorporation into Kazakhstan’s grant framework, involves a two-tiered examination process – an initial assessment by the National Center for State Scientific and Technical Expertise (NCSTE) followed by a secondary review by the National Scientific Councils (NSC). The rationale behind this shift away from an overemphasis on quantitative and qualitative project details towards a qualitative, semantic, conceptual, and methodological representation is rooted in the constraints of NCSTE/NSC resources and other pertinent factors. We have adopted and tailored the Technology Readiness Level (TRL), Manufacturing Readiness Level (MRL), and Capability Readiness Level (CRL) scaling methodologies for R&amp;D and RNTD activities by devising a novel Scientific Readiness Levels (SRL) methodology. This has resulted in the compilation of SRL scales for fundamental (FRL), applied (ARL), and innovative projects (IRL), bringing economic efficiency to the grant funding evaluation process.

The role of socio-demographic variables and buying habits in determining milk purchasers' preferences and choices.

Emerging new purchasing behaviors have been reflected in the sales trends of dairy products, mainly in cow milk consumption. This study aimed to investigate the preferences of milk purchasers toward different product attributes, by considering both individuals' socio-demographic characteristics (SD) and milk purchasing habits (PH) as independent variables in the milk consumption model definition. To achieve this objective, a questionnaire was administered to a sample of 1,216 residents in Northwest Italy. The application of the Best-Worst scaling (BWS) methodology to define the purchasers' declared preferences toward a set of 12 milk attributes, showed that milk origin and expiry date are the most important attributes for milk choice in the decision-making process. The correlation analysis showed that the SD and milk purchasing habits variables affect the definition of stated preferences heterogeneously between the intrinsic, extrinsic, and credence attributes.

Extended scaling approach for droplet flow and glaze ice accretion on a rotating wind turbine blade

This paper presents and analyzes a non-dimensional model of the flow field and droplet trajectories with glaze ice accretion on a rotating wind turbine blade. The formulation leads to similitude relationships for glaze ice accretion to evaluate new scaling parameters corresponding to the rotation of the blade. New scaling parameters are developed to determine ice scaling conditions based on the geometry scale factor of a wind turbine blade. The scaling methodology can be used to determine alternative test conditions and predict glaze icing conditions on a full-scale wind turbine blade. Numerical CFD icing simulations are performed using ANSYS FENSAP ICE software. A wind blade model is developed using blade element momentum theory (BEM). Each blade size is tested at specific flow conditions using the scaling equations. Scaled conditions for velocity (streamwise and rotational), droplet size, and icing time are tested. CFD solutions for the flow field are obtained for comparisons of the velocity, droplet trajectories, pressure coefficient distributions, ice thickness, and ice shapes. Recommended parameters to be used for glaze ice scaling on a rotating blade are presented and numerical results are reported to support these recommendations. The paper provides new insights into modeling of glaze ice accretion on large wind turbine blades based on smaller scaled blade sections tested in a laboratory setting.

Causative process related method for the design of a reduced scale test facility for boron dispersion analysis in the pressurizer of SMRs

Pressurizers are important components placed in Pressurized Water Reactors (PWRs) and are responsible for pressure control. Although traditional PWRs have a continuous flow maintained by spray devices in order to promote mixing between primary coolant system and pressurizer water, one alternative for Small Modular Reactors (SMRs) is to replace surge lines and sprays by surge orifices aiming at homogenizing boron concentration in the whole primary system. Such process of homogenization is necessary in order not to promote power transients. This paper intends to compare thermal-hydraulic parameters obtained by a scaling methodology – Causative Process Related Method – with those derived by another scaling technique. The conservation equations representing boron concentration are derived for the two liquid regions inside the pressurizer. The scaling methodology is applied to these equations, providing dimensionless parameters necessary for boron dispersion similarity. By considering one-fourth symmetry and reduced scale for time (1/5) and space (1/200), a test facility based on these parameters (e.g., circulation flow and condensation rate respectively equal 0.00000335 m3/s and 0.0001 kg/s) is under construction and shall be used to evaluate boron dispersion in SMRs, providing reliable results with a reduction of costs. The evidence of trustful results is verified when normalized concentrations at the respective dimensionless times are compared for both model and prototype.

Resolution Based Incremental Scaling Methodology for CNNs

Designing an optimal CNN for each embedded device with a different resource budget would be time-consuming and inefficient. Network scaling provides a viable solution to tackle this challenge, In this work, we propose a novel network scaling strategy called RBIS (resolution-based incremental scaling). Unlike the previous works that consider the width, depth, and input resolution together, we first find the input resolution candidates on a given hardware platform. For each resolution candidate, we incrementally scale the depth and width of each stage up to limit of available resources. Comparison with other scaling methods proves the superiority of the proposed scaling methodology. RBIS finds a more accurate model by up to 0.53 % for EfficientNet-B1 and 0.67 % for the S3NAS B2 scale.

Russian-Language Adaptation of the Methodology of Diagnosing the Motives for Online Dating Servicesusage

The article is devoted to the psychological aspects of online dating services usage and tools to study the motives of such services users. A theoretical analysis of Russian and foreign studies of online dating services users was carried out. The analysis showed that the general research interest is related to the personal characteristics of users and their self-presentation strategies in such services. Among foreign researchers, it is common to study the characteristics of sexual behavior and motivation of users as well as their perception of the confidentiality of data provided to such services. There were no Russian-language works on the problem of motives for online dating services using. Due to the lack of Russian-language tools the Tinder Motives Scale methodology developed by E. Timmermans, E. de Kaluwe was selected for adaptation. A Russian-language adaptation and verification of the psychometric properties of the technique was made on a sample of 3540 (2255 male, aged 18 to 60+). This allowed us to offer a valid and reliable, shortened (from 58 to 22 points) and modified Russian-language version of the methodology for diagnosing the motives for online dating services using. The scale “Material motivation” was added. Scales “Flirting / communication skills development”, “Travel” “Belonging to a group”, “Pressure of friends”, “Search for people with the same sexual orientation”, “Distraction from business” and “Curiosity” were not confirmed.

Evaluation of Selective Tibial Neurotomy for the Spastic Foot Treatment Using a Personal Goal-Centered Approach: A 1-Year Cohort Study.

Selective tibial neurotomy (STN) has already demonstrated its effectiveness to reduce foot deformities and spasticity, but assessment according to a goal-centered approach is missing. To evaluate the effectiveness of STN associated with a postoperative rehabilitation program for the treatment of the spastic foot, according to a goal-centered approach. Interventional study (before-after STN and rehabilitation program) with observational design including consecutive adult patients with spastic foot, who received STN followed by a rehabilitation program, was performed. The primary outcome measure was the achievement of individual goals at the 1-year follow-up using the Goal Attainment Scaling methodology (with T-score). The secondary outcomes measures were the Modified Ashworth Scale and the modified Rankin Score. A total of 104 patients were included. At the 1-year follow-up, 228/252 (90.5%) goals were achieved: 62/252 (24.6%) were achieved as initially expected, 86/252 (34.1%) were achieved better than initially expected, and 80 (31.7%) were achieved much better than initially expected. The mean T-score was significantly increased at the 1-year follow-up (61.5 ± 10.5) compared with the preoperative period (38.1 ± 2.9, P < .00001), and 95/104 (91.3%) patients had a T-score ≥50, meaning that these patients have achieved their goals. At follow-up, spastic deformities were all significantly decreased ( P < .0001), the Modified Ashworth Scale was significantly lower for each muscle targeted ( P < .0001), and the modified Rankin Score was significantly decreased ( P < .0001) allowing the patient population to improve from a moderate to a slight disability status. This study showed that STN, associated with a postoperative rehabilitation program, successfully achieve personal goals in patients with spastic foot.