Simple Measures Research Articles

A simple and intuitive model for long-range 3D potential distributions of in-operando TEM-Samples: Comparison with electron holographic tomography

Electron holography is a powerful tool to investigate the properties of micro- and nanostructured electronic devices. A meaningful interpretation of the holographic data, however, requires an understanding of the 3D potential distribution inside and outside the sample. Standard approaches to resolve these potential distributions involve projective tilt series and their tomographic reconstruction, in addition to extensive simulations. Here, a simple and intuitive model for the approximation of such long-range potential distributions surrounding a nanostructured coplanar capacitor is presented. The model uses only independent convolutions of an initial potential distribution with a Gaussian kernel, allowing the reconstruction of the entire potential distribution from only one measured projection. By this, a significant reduction of the required computational power as well as a drastically simplified measurement process is achieved, paving the way towards quantitative electron holographic investigation of electrically biased nanostructures.

Pediatric Trauma - A Silent Epidemic.

Trauma is the leading cause of preventable deaths in children all over the world. In the majority of cases, children are innocent victims of road traffic accidents. They suffer from both short-term and long-term impacts of trauma. Deaths from road traffic accidents can be prevented by adopting simple road safety measures and the use of protective equipment. Worldwide programs have been initiated to curb this ever-rising menace; however, the success of these programs depends on their outreach and acceptance among the population in general. Golden hours in trauma management is the initial hour post-trauma, the success of resuscitation depends on the appropriate management of pediatric trauma victims in hospitals dedicated to the management of pediatric trauma victims. The current review highlights the epidemiology, pattern of injury, road safety measures, and global health initiatives for the prevention of accident-related injury in children. The shortcomings of this review are as follows- Firstly pediatric trauma is an exhaustive topic, it is impossible to cover all aspects of pediatric trauma. Thus, the review might have missed some important aspects of pediatric trauma. Secondly, the concept of a pediatric trauma registry is nonexistent in almost all developing countries; hence a true picture of pediatric trauma epidemiology and injury patterns is missing. Thirdly not much work has been done on pediatric trauma in developing countries leading to insufficient data from these countries.

Optimized Noise Suppression for Quantum Circuits

Quantum computation promises to advance a wide range of computational tasks. However, current quantum hardware suffers from noise and is too small for error correction. Thus, accurately utilizing noisy quantum computers strongly relies on noise characterization, mitigation, and suppression. Crucially, these methods must also be efficient in terms of their classical and quantum overhead. Here, we efficiently characterize and mitigate crosstalk noise, which is a severe error source in, for example, cross-resonance based superconducting quantum processors. For crosstalk characterization, we develop a simplified measurement experiment. Furthermore, we analyze the problem of optimal experiment scheduling and solve it for common hardware architectures. After characterization, we mitigate noise in quantum circuits by a noise-aware qubit routing algorithm. Our integer programming algorithm extends previous work on optimized qubit routing by swap insertion. We incorporate the measured crosstalk errors in addition to other, more easily accessible noise data in the objective function. Furthermore, we strengthen the underlying integer linear model by proving a convex hull result about an associated class of polytopes, which has applications beyond this work. We evaluate the proposed method by characterizing crosstalk noise for two chips with up to 127 qubits and leverage the resulting data to improve the approximation ratio of the Quantum Approximate Optimization Algorithm by up to 10% compared with other established noise-aware routing methods. Our work clearly demonstrates the gains of including noise data when mapping abstract quantum circuits to hardware native ones. History: Accepted by Giacomo Nannicini, Area Editor for Quantum Computing and Operations Research. Accepted for Special Issue on Quantum Computing. Funding: This work was supported by Bavarian state government; Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2024.0551 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2024.0551 ). The complete IJOC Software and Data Repository is available at https://informsjoc.github.io/ .

Pharmacokinetic analysis and simplified uptake measures for tumour lesion [18F]F-AraG PET imaging in patients with non-small cell lung cancer.

The novel positron emission tomography (PET) imaging tracer, [18F]F-AraG, targets activated T-cells, offering a potential means to improve our understanding of immune-oncological processes. The aim of this study was to determine the optimal pharmacokinetic model to quantify tumour lesion [18F]F-AraG uptake in patients with non-small cell lung cancer (NSCLC), and to validate simplified measures at different time intervals against the pharmacokinetic uptake parameter. Ten patients with early-stage NSCLC and three patients with advanced NSCLC underwent a dynamic PET scan of minimal 60min. Venous and/or arterial blood sampling was obtained at maximum seven time points. Tumour lesion time activity curves and metabolite-corrected input functions were analysed using single-tissue reversible (1T2k), two-tissue irreversible (2T3k) and two-tissue reversible (2T4k) plasma input models. Simplified uptake measures, such as standardised uptake value (SUV) and tumour-to-blood (TBR) or tumour-to-plasma ratio (TPR), were evaluated for different time intervals. Whole-blood and plasma radioactivity concentrations showed rapid clearance of [18F]F-AraG. Metabolite analysis revealed a low rate of metabolism, at 70min p.i., on average, 79% (SD = 9.8%) of the total radioactivity found in blood corresponded to intact [18F]F-AraG. The time activity curves were best fitted by the 2T3k model. Strong positive correlations were found for SUV (body weight (BW), lean body mass (LBM) or body surface area (BSA) corrected), TBR and TPR for any time interval between 20 and 70min p.i. against the 2T3k-derived Ki. The correlation of TBR at 60-70min p.i. with 2T3K-derived Ki (r (df = 20) = 0.87, p < 0.01), was stronger than for SUVBW (r (df = 20) = 0.80, p < 0.01). Tumour lesion [18F]F-AraG uptake in patients with NSCLC is characterised by a 2T3k model. TBR and TPR show most potential for simplified quantification of tumour lesion [18F]F-AraG uptake in patients with NSCLC.

Screening and Prediction of Autism in Toddlers Using SORF in Videos of Brief Family Interactions.

The purpose of this study was to validate the utility of the Systematic Observation of Red Flags (SORF) for autism screening during 10-minute parent-child interactions at ages 15-24 months. A total of 54 children participated in this study, including 19 with autism spectrum disorder (ASD), 23 with developmental delay, and 12 typically developing children. Coders coded 10-minute videos of parent-child interactions based on the defined scoring criteria. The discriminative ability for outcome diagnosis was evaluated for total score, social communication score, restricted repetitive behavior score, number of red flags, and composite score. SORF scores demonstrated good discriminative ability between ASD and non-ASD children, with the composite score (AUC = 0.884) showing the best discriminative ability for outcome diagnosis and predicting likelihood of ASD in young children. The composite score represented a simplified measurement, with the cutoff score of 7 and sensitivity and specificity of 0.789 and 0.800, respectively.

Case study of simplified reverberation time measurement under multiple conditions using a sound level meter

Recent advancements in the computational capacity of sound level meters have facilitated the simultaneous recording of diverse calculation results and waveform recording data. Traditionally, reverberation time determination entailed manually adjusting a linear regression line to the reverberation decay curve derived from recorded sound levels, followed by reverberation time computation based on the gradient of said line. However, automated techniques have made reverberation time calculation via a sound level meter feasible. This paper discusses a case study evaluating the efficacy and considerations of simplified reverberation time measurements conducted across various conditions, encompassing scenarios with multiple sound sources and diverse indoor environments. The study leveraged recorded data from a sound level meter and employed automated methods simulated on a personal computer.

Simplified Laser Frequency Noise Measurement Using the Delayed Self-Heterodyne Method

Here, we report on a simplified laser frequency noise measurement technique employing an acousto-optic modulator, a delay line, and a real-time oscilloscope. The technique is a slight modification of the typical delayed heterodyne method. Instead of using a swept frequency spectrum to analyze the laser emission spectrum, the waveform captured on a real-time oscilloscope is used to directly calculate the laser frequency noise. The oscilloscope bandwidth and sampling requirements can be kept modest by choosing a modulator driven at a few hundred megahertz, making this technique attractive for a large number of laboratories. We show the frequency noise measurements of two different lasers with linewidths at 2.7 kHz and 2 MHz. We took the opportunity to investigate the noise floor of the frequency noise measurement system, and we found that the noise floor of the frequency noise measurement depends on the power level of the laser that is being characterized, with the kilohertz linewidths laser requiring more power to reduce the noise floor to acceptable levels.

A Low-Power Impedance-to-Frequency Converter for Frequency-Multiplexed Wearable Sensors.

We propose a low-power impedance-to-frequency (I-to-F) converter for wearable transducers that change both its resistance and capacitance in response to mechanical deformation or changes in ambient pressure. At the core of the proposed I-to-F converter is a fixed-point circuit comprising of a voltage-controlled relaxation oscillator and a proportional-to-temperature (PTAT) current reference that locks the oscillation frequency according to the impedance of the transducer. Using both analytical and measurement results we show that the operation of the proposed I-to-F converter is well matched to a specific class of sponge mechanical transducer where the system can achieve higher sensitivity when compared to a simple resistance measurement techniques. Furthermore, the oscillation frequency of the converter can be programmed to ensure that multiple transducer and I-to-F converters can communicate simultaneously over a shared channel (physical wire or virtual wireless channel) using frequency-division multiplexing. Measured results from proof-of-concept prototypes show an impedance sensitivity of 19.66 Hz/ Ω at 1.1 kΩ load impedance magnitude and a current consumption of [Formula: see text]. As a demonstration we show the application of the I-to-F converter for human gesture recognition and for radial pulse sensing.

Readability of Online Spanish Materials for Breast Reconstruction Using Deep Inferior Epigastric Perforator Flaps.

Background The internet has become an increasingly popular tool for patients to find information pertaining to medical procedures. Although the information is easily accessible, data shows that many online educational materials pertaining to surgical subspecialties are far above the average reading level in the United States. The aim of this study was to evaluate the English and Spanish online materials for the deep inferior epigastric perforator (DIEP) flap reconstruction procedure. Methods The first eight institutional or organizational websites that provided information on the DIEP procedure in English and Spanish were included. Each website was evaluated using the Patient Education and Materials Assessment Tool (PEMAT), Cultural Sensitivity Assessment Tool (CSAT), and either Simplified Measure of Gobbledygook (SMOG) for English websites or Spanish Orthographic Length (SOL) for Spanish websites. Results The English websites had a statistically lower CSAT score compared to the Spanish websites (p=0.006). However, Spanish websites had a statistically higher percentage of complex words compared to English sources (p<0.001). An analysis of reading grade levels through SMOG and SOL scores revealed that Spanish websites had statistically lower scores (p<0.001). There were no statistically significant differences in the understandability or actionability scores between the English and Spanish websites. Conclusions Online educational materials on the DIEP flap reconstruction procedure should be readable, understandable, actionable, and culturally sensitive. Our analysis revealed that improvements can be made in understandability and actionability on these websites.Plastic surgeons should be aware of what constitutes a great online educational resource and what online educational materials their patients will have access to.

Research on torque measurement in flight test for all-moving horizontal tail based on spiral driver

PurposeTorque is one of the main loads acting on the aircraft wing, the horizontal tail and the vertical tail. In flight load measurement, due to the significant influence of the bending moment and the shear force on the strain gauge, the accuracy of torque measurement is usually low. Therefore, aircraft torque measurement is difficult. Based on the characteristics of a certain type of horizontal tail, a measurement method for the torque with high accuracy was proposed in this paper.Design/methodology/approachA new simplified torque measurement method for the all-moving horizontal tail was proposed based on the spiral driver. The feasibility of the method and key points of the tests were analyzed and studied through a virtual load calibration test.FindingsBased on the results of the real load calibration test, the torque load equation with high accuracy was established, and the torque measurement was achieved in load flight tests.Research limitations/implicationsHowever, the proposed method is based on the structure of the spiral driver. If there is generally no spiral driver at the aircraft wings and vertical tails, then the appropriate torque measurement method needs to be derived according to the specific object.Originality/valueThe research in this paper provides a new idea for the torque measurement of aircraft structures, which can be used for the torque measurement of subsequent aircraft types.

The role of self-esteem in shaping social engagement in the context of ESG reporting

Purpose: The aim of the article is to determine the role of self-esteem in the sense of individual agency in terms of sustainable development and Environmental, Social, and Governance (ESG) reporting among professionals associated with accounting.Methodology/approach: The study is based on a critical analysis of the literature, the methods of analysis and logical construction, and the application of statistical tools. It utilizes statistical methods, including Pearson’s linear correlation and the t-Student test, for a detailed analysis of the relationship between self-esteem and social engagement in the context of sustainable development among individuals associated with ac-counting.Findings: The study results suggest a connection between the level of self-esteem and engagement in sustainable development. The conclusions can be utilized for designing training programs to develop sustainable development skills.Research limitations/implications: The simplified measurement method of variables and their broad context may not encompass the full range of factors that influence social engagement in sustainable development.Originality/value: The article expands knowledge of the factors that influence social engagement in sustainable development. Furthermore, it emphasizes the potential application of tools for enhancing self-esteem to increase social engagement, especially in the context of sustainable development and ESG.

Structural Design and Parameter Optimization of Magnetic Gradient Tensor Measurement System.

Magnetic anomaly detection (MAD) technology based on the magnetic gradient tensor (MGT) has broad application prospects in fields such as unexploded ordnance detection and mineral exploration. The difference approximation method currently employed in the MGT measurement system introduces measurement errors. Designing reasonable geometric structures and configuring optimal structural parameters can effectively reduce measurement errors. Based on research into differential MGT measurement, this paper proposes three simplified planar MGT measurement structures and provides the differential measurement matrix. The factors that affect the design of the baseline distance of the MGT measurement system are also theoretically analyzed. Then, using the magnetic dipole model, the error analysis of the MGT measurement structures is carried out. The results demonstrate that the planar cross-shaped structure is optimal, with the smallest measurement error, only 3.15 × 10-10 T/m. Furthermore, employing the control variable method, the impact of sensor resolution constraints, noise level, target magnetic moment, and detection distance on the design of the optimal baseline distance of the MGT measurement system is simulated and verified. The results indicate that the smaller the target magnetic moment, the farther the detection distance, the lower the magnetometer resolution, the greater the noise, and the greater the baseline distance required. These conclusions provide reference and guidance for the construction of the MGT measurement system based on triaxial magnetometers.

Assessment of determination methods for time-zero of autogenous shrinkage in cement mortars

Determination of time-zero is crucial for standardizing autogenous shrinkage measurement, data processing and cracking risk calculation for cementitious materials. The main objective of this study is to assess mainstream methods of time-zero determination and to provide recommendations based on the underlying mechanism and data reliability. In total, nine kinds of determination methods for time-zero were conducted for mortars with different water-to-cement ratios (w/c) including a simplified measurement for the restraint stress generation. The method of combining penetration resistance and capillary pressure is suggested due to its clear mechanism and ease of operation in different cementitious systems. After classification and statistical evaluation, the final setting, the peak rate time of the temperature, the restraint stress generation time and the newly proposed combined method are considered more suitable among the assessed time-zero determination methods. The recommendation is applicable for cement mortars with the w/c 0.3–0.4 and also expected to be extended to more complex cementitious systems.

Tablet-Based Cognitive and Eye Movement Measures as Accessible Tools for Schizophrenia Assessment: Multisite Usability Study.

Schizophrenia is a complex mental disorder characterized by significant cognitive and neurobiological alterations. Impairments in cognitive function and eye movement have been known to be promising biomarkers for schizophrenia. However, cognitive assessment methods require specialized expertise. To date, data on simplified measurement tools for assessing both cognitive function and eye movement in patients with schizophrenia are lacking. This study aims to assess the efficacy of a novel tablet-based platform combining cognitive and eye movement measures for classifying schizophrenia. Forty-four patients with schizophrenia, 67 healthy controls, and 41 patients with other psychiatric diagnoses participated in this study from 10 sites across Japan. A free-viewing eye movement task and 2 cognitive assessment tools (Codebreaker task from the THINC-integrated tool and the CognitiveFunctionTest app) were used for conducting assessments in a 12.9-inch iPad Pro. We performed comparative group and logistic regression analyses for evaluating the diagnostic efficacy of the 3 measures of interest. Cognitive and eye movement measures differed significantly between patients with schizophrenia and healthy controls (all 3 measures; P<.001). The Codebreaker task showed the highest classification effectiveness in distinguishing schizophrenia with an area under the receiver operating characteristic curve of 0.90. Combining cognitive and eye movement measures further improved accuracy with a maximum area under the receiver operating characteristic curve of 0.94. Cognitive measures were more effective in differentiating patients with schizophrenia from healthy controls, whereas eye movement measures better differentiated schizophrenia from other psychiatric conditions. This multisite study demonstrates the feasibility and effectiveness of a tablet-based app for assessing cognitive functioning and eye movements in patients with schizophrenia. Our results suggest the potential of tablet-based assessments of cognitive function and eye movement as simple and accessible evaluation tools, which may be useful for future clinical implementation.

Assessment of the Arabic patient-centered online information about orthodontic pain: A quality and readability assessment.

This study assesses the quality and readability of Arabic online information about orthodontic pain. With the increasing reliance on the internet for health information, especially among Arabic speakers, it's critical to ensure the accuracy and comprehensiveness of available content. Our methodology involved a systematic search using the Arabic term for (Orthodontic Pain) in Google, Bing, and Yahoo. This search yielded 193,856 results, from which 74 websites were selected based on predefined criteria, excluding duplicates, scientific papers, and non-Arabic content. For quality assessment, we used the DISCERN instrument, the Journal of the American Medical Association (JAMA) benchmarks, and the Health on the Net (HON) code. Readability was evaluated using the Simplified Measure of Gobbledygook (SMOG), Flesch Reading Ease Score (FRES), and Flesch-Kincaid Grade Level (FKGL) scores. Results indicated that none of the websites received the HONcode seal. The DISCERN assessment showed median total scores of 14.96 (± 5.65), with low overall quality ratings. In JAMA benchmarks, currency was the most achieved aspect, observed in 45 websites (60.81%), but none met all four criteria simultaneously. Readability scores suggested that the content was generally understandable, with a median FKGL score of 6.98 and a median SMOG score of 3.98, indicating middle school-level readability. This study reveals a significant gap in the quality of Arabic online resources on orthodontic pain, highlighting the need for improved standards and reliability. Most websites failed to meet established quality criteria, underscoring the necessity for more accurate and trustworthy health information for Arabic-speaking patients.

Disentangling the effects of globalization on growth: Evidence from Ethiopia using an ARDL approach

Globalization is a complex phenomenon with far-reaching and multidimensional influences on national growth trajectories. Previous studies examining these effects have often relied on overly simplistic measures that mask heterogeneity across contexts. This paper aims to overcome such limitations by disentangling the impacts of different globalization dimensions on Ethiopia’s economic development over 1981–2021 using an autoregressive distributed lag (ARDL) approach in order to assess the long-term and short-term effects of Ethiopia’s economic growth rates and a comprehensive globalization index encompassing the economic, social, and political dimensions of globalization. Long-run and short-run relationships are estimated via ARDL to analyze these relationships in the context of factors like investment, workforce, trade, and capital stock, while the robustness of findings is ensured through dynamic ordinary least squares, fully modified ordinary least squares, and canonical cointegrating regression techniques. Key results indicate that overall and economic globalization exhibit negative long-term associations with growth when analyzing these relationships taking into account other factors, suggesting a need for a cautious, sequenced approach to integration to optimize benefits as local capacities develop over time. However, political globalization carries positive long-run effects. Social globalization displays no clear linkage. Short-run impacts also differ by dimension. Gross capital formation, trade openness, and capital stock remain consistently growth-enhancing. The negative correlation in the labor force likely reflects structural challenges. Robustness analyses substantiate these conclusions, enhancing confidence. Findings imply a cautious, sequenced approach to integration may optimize potential benefits as local adaptive capacities develop over time. This investigation’s tailored nature provides contextually grounded empirical knowledge with broader policy applications. More refinement of country-level analyses remains warranted to fully uncover globalization’s complexity. Overall, incremental global ties alone proved insufficient for development acceleration. Findings carry relevance for managing integration strategies towards inclusive, sustainable development nationally and beyond.

The Nourishing Art

Cooking is regarded as one of the most basic characteristics of civilised existence, almost as critical as shelter in defining and reading the human condition. Frascari (2002) used cooking as an analogy for design suggesting that ‘to build and cook are a necessity, but to build and cook intelligently is the chief obligation of architecture and cuisine’ (p. 3). What is it about this ordinary activity that invites comparison? Is it that the everyday acts of cooking are primary generators of spatial practices and material culture? Or is it that the production of food bears numerous parallels with the production of built space – each following a recipe or plan to manipulate elements into an entity definitively judged by the physical senses? This paper builds upon a companion work titled, ‘Eating Australian Architecture’ (Hurst &amp; Lawrence, 2003), which investigated a pedagogical approach based on parallels between food and design for teaching first year architectural students. In this paper, the focus is on a detailed application of this method to typological analyses of contemporary domestic architecture. It uses three examples of influential Australian design practices, selecting from each a paradigm with which they are associated. Food metaphors of raw, medium and well- done are used to explore emergent characteristics and experiential qualities within the current architectural climate. The apparent extremes between raw and cooked, like those between excess and austerity, are re-evaluated not as simple oppositions or measures of success, but as equally rich modes of approach to design. The argument is made for gastronomy as a persuasive interrogatory tool for the sensory and holistic examination of the built environment.

Analysis of Employment Competitiveness of College Students Based on Binary Association Rule Extraction Algorithm

Today, assessing competition among college students in the job search is extremely important. However, various methods available are often inaccurate or inefficient when it comes to determining the level of their readiness for work. Conventional techniques usually depend on simplistic measures or miss out on crucial factors responsible for employability. The challenging characteristics of such competitive employment of college students are the lower levels of perceived stress, financing my education, and crucial professional skills. Hence, in this research, the Internet of Things Based on Binary Association Rule Extraction Algorithm (IoT-BAREA) technologies have improved college students' employment competitiveness. IoT-BAREA addresses this situation using a binary association rule extraction algorithm that helps detect significant patterns and relationships in large amounts of data involving student attributes and employment outcomes. IoT-BAREA positions itself as capable of providing insights into features that highly mediate the employability levels among students. This paper closes this gap and recommends a new IoT-BAREA method to help increase accuracy and efficiency in evaluating student employment competitiveness. Specifically, this study uses rigorous evaluation methods such as precision, recall and interaction ratio to determine how well IoT-BAREA predicts students' employability.

A nonlinear journey from structural phase transitions to quantum annealing.

Motivated by an exact mapping between equilibrium properties of a one-dimensional chain of quantum Ising spins in a transverse field (the transverse field Ising (TFI) model) and a two-dimensional classical array of particles in double-well potentials (the "ϕ4 model") with weak inter-chain coupling, we explore connections between the driven variants of the two systems. We argue that coupling between the fundamental topological solitary waves in the form of kinks between neighboring chains in the classical ϕ4 system is the analog of the competing effect of the transverse field on spin flips in the quantum TFI model. As an example application, we mimic simplified measurement protocols in a closed quantum model system by studying the classical ϕ4 model subjected to periodic perturbations. This reveals memory/loss of memory and coherence/decoherence regimes, whose quantum analogs are essential in annealing phenomena. In particular, we examine regimes where the topological excitations control the thermal equilibration following perturbations. This paves the way for further explorations of the analogy between lower-dimensional linear quantum and higher-dimensional classical nonlinear systems.

E058 Disease activity measurement in rheumatoid arthritis - simpler in not always better!

Abstract Background/Aims Rheumatoid arthritis is one of the commonest inflammatory arthritis (1). The traditional method of disease activity assessment would incorporate activity measures like DAS 28, CDAI and SDAI which have been validated in clinical research (2). All these indices use 28 joint assessment method. These measures use different aspects of disease activity including swollen joint count, tender joint count, patient global scores and physician global assessment scores and inflammatory markers are included in some of the measures. We conducted a small study to compare these outcome measures in patients with moderate RA (per DAS criteria) who were recruited for disease activity assessment through MSK ultrasound. Methods Of the 30 biologic naive patients recruited, 27 were included in this study. Patients with moderate disease activity (per DAS criteria) were recruited for MSK ultrasound evaluation by a single rheumatologist. Patients with a diagnosis of fibromyalgia were excluded. These patients had been reviewed by two assessors prior to USS assessment and disease activity measures updated. Patient data was collected through electronic patient records. Data was analysed through MS Excel. Results The median age was 63. There were 66% females and 34% male patients. Majority were sero positive for either RhF, Anti CCP or both (77%). Mean DAS-28 score was 4.4 and corresponding mean CDAI and SDAI scores were 22.8 and 23.5 respectively. Mean HAQ score 1.08 and median CRP was 8.6. The median composite EULAR OMERACT synovitis score was 9.18. The average physician global assessment score for disease activity before USS was 4.9/10 and it correlated well with decision to escalate treatment in 41% patients as a result of USS assessment. Conclusion With a small sample size, this project shows that simplified disease activity measures do not necessarily provide clear evidence of disease activity and are heavily influenced by patient reported outcome measures (tender joint count and global pain scores). CDAI scores can be slightly higher compared to DAS and SDAI scores for the similar patients. Physician assessment and ultrasound can provide robust evaluation of disease activity and help in decision-making. A multicentric study with a large simple size to evaluate these findings would be helpful. Judicious use of clinical evaluation and imaging can help in tailoring treatment according to patient’s clinical condition and can also save money. Disclosure H. Crawshaw: None. E. Gates: None. C. Acebes: None. M. Jamal: None.