Structural Framework Research Articles

A comprehensive review of the docking studies of chalcone for the development of selective MAO-B inhibitors.

Monoamine oxidase B is a crucial therapeutic target for neurodegenerative disorders like Alzheimer's and Parkinson's since they assist in disintegrating neurotransmitters such as dopamine in the brain. Pursuing efficacious monoamine oxidase B inhibitors is a hot topic, as contemporary therapeutic interventions have many shortcomings. Currently available FDA-approved monoamine oxidase inhibitors like safinamide, selegiline and rasagiline also have a variety of side effects like depression and insomnia. In the quest for a potent monoamine oxidase B inhibitor, sizeable, diverse chemical entities have been uncovered, including chalcones. Chalcone is a renowned structural framework that has been intensively explored for its monoamine oxidase B inhibitory activity.The structural resemblance of chalcone (1,3-diphenyl-2-propen-1-one) based compounds and 1,4-diphenyl-2-butene, a recognized MAO-B inhibitor, accounts for their MAO-B inhibitory activity. Therefore, multiple revisions to the chalcone scaffold have been attempted by the researchers to scrutinize the implications of substitutions onthe molecule's potency. In this work, we outline the docking investigation results of various chalcone analogues with monoamine oxidase B available in the literature until now to understand the interaction modes and influence of substituents. Here we focused on the interactions between reported chalcone derivatives and the active site of monoamine oxidase B and the influence of substitutions on those interactions. Detailed images illustrating the interactions and impact of the substituents or structural modifications on these interactions were used to support the docking results.

Comparative Analysis of Framed-Tube & Braced-Tube System in Tall Buildings Using ETABS

Abstract: Since the rigid frame became popular in the first half of the 20th century, tall buildings with structural systems have evolved. The development of underlying frameworks for tall structures lays on reasonable realism, economy of material utilization, effortlessness and polish, and worry for constructability. We are now able to build buildings that are ever higher thanks to cutting-edge building materials, sophisticated computational software, and sturdy structural systems. The rationale behind the creation of structural systems for tall buildings is to achieve architectural expression, ensure safety and serviceability, and make rational and effective use of materials. The use of composite structures, which combine the advantages of various materials, has been the trend in structural systems for tall buildings. In both static and dynamic conditions, these high-rise structures ought to be able to withstand a variety of lateral loads, such as wind load and earthquake load. This study examines the responses of the Framed Tube, Braced Tube, structural systems to various parameters such as Story displacement, Story drift, Story shear, and time period. The analysis focuses on 60-story structures situated in Seismic Zone III with medium soil conditions. The static analysis of the structures is conducted using the linear static method, which involves wind load calculations using the force coefficient method. On the other hand, the dynamic analysis is performed using the response spectrum method, with wind load calculations carried out using the gust factor calculation method.

The technology or the child? Moving beyond technological fixes in deaf education in India and elsewhere

ABSTRACT As cochlear implants become the gold standard in intervening on deafness around the world, teachers of deaf children are increasingly expected to have technological expertise and to ensure that cochlear implants, and other hearing technology, are being used and that they are working. Students are only considered “ready to learn” if they are using their technology. Drawing from ethnographic research and semi-structured interviews with educators, families, surgeons, speech and language therapists, and audiologists in Indian cities, this article mobilises two conceptual frameworks from medical anthropology and public health – the “biotechnical embrace” and the “structural competency framework” to argue that teachers of deaf children, both in India and internationally, need to think and work beyond technology. Ultimately, focusing on a child does not mean focusing (only) on technology but rather on seeing a child as enmeshed in social, political, educational, and economic structures and relations. Expanding educators’ focus to consider micro and macro scales is especially urgent now, as countries around the world implement programmes in which technology is the goal.

Variation in structural motifs within SARS-related coronavirus spike proteins.

SARS-CoV-2 is the third known coronavirus (CoV) that has crossed the animal-human barrier in the last two decades. However, little structural information exists related to the close genetic species within the SARS-related coronaviruses. Here, we present three novel SARS-related CoV spike protein structures solved by single particle cryo-electron microscopy analysis derived from bat (bat SL-CoV WIV1) and civet (cCoV-SZ3, cCoV-007) hosts. We report complex glycan trees that decorate the glycoproteins and density for water molecules which facilitated modeling of the water molecule coordination networks within structurally important regions. We note structural conservation of the fatty acid binding pocket and presence of a linoleic acid molecule which are associated with stabilization of the receptor binding domains in the "down" conformation. Additionally, the N-terminal biliverdin binding pocket is occupied by a density in all the structures. Finally, we analyzed structural differences in a loop of the receptor binding motif between coronaviruses known to infect humans and the animal coronaviruses described in this study, which regulate binding to the human angiotensin converting enzyme 2 receptor. This study offers a structural framework to evaluate the close relatives of SARS-CoV-2, the ability to inform pandemic prevention, and aid in the development of pan-neutralizing treatments.

Impact of social determinants of health on progression from potentially life-threatening complications to near miss events and death during pregnancy and post partum in a middle-income setting: an observational study.

To assess the potential associations between social determinants of health (SDH) and severe maternal outcomes (SMO), to better understand the social structural framework and the contributory, non-clinical mechanisms associated with SMO. Prospective observational study. Tertiary referral centre in south-eastern region of India. One thousand and thirty-three women with potentially life-threatening complications (PLTC) were identified using WHO criteria. Social Determinants of Health (SDH). Severe maternal outcomes, which include maternal near-miss and maternal death. Logistic regression to assess the association between SDH and clinical factors on SMO, expressed as adjusted ORs (aOR) with a 95% CI. Of the 37 590 live births, 1833 (4.9%) sustained PLTC, and 380 (20.7%) developed SMO. Risk of SMO was higher with increasing maternal age (adjusted OR (aOR) 1.04 (95% CI 1.01 to 1.07)), multiparity (aOR 1.44 (1.10 to 1.90)), medical comorbidities (aOR 1.50 (1.11 to 2.02)), obstetric haemorrhage (aOR 4.63 (3.10 to 6.91)), infection (aOR 2.93 (1.83 to 4.70)), delays in seeking care (aOR 3.30 (2.08 to 5.23)), and admissions following a referral (aOR 2.95 (2.21 to 3.93)). SMO was lower in patients from socially backward community (aOR 0.45 (0.33 to 0.61)), those staying more than 10 km from hospital (aOR 0.56 (0.36 to 0.78)), those attending at least four antenatal visits (aOR=0.53 (0.36 to 0.78)) and those referred from resource-limited facilities (aOR=0.62 (0.46 to 0.84)). This study demonstrates the independent contribution of SDH to SMO among those sustaining PLTC in a middle-income setting, highlighting the need to formulate preventive strategies beyond clinical considerations.

Revealing the hidden structure of disordered materials by parameterizing their local structural manifold

Durable interest in developing a framework for the detailed structure of glassy materials has produced numerous structural descriptors that trade off between general applicability and interpretability. However, none approach the combination of simplicity and wide-ranging predictive power of the lattice-grain-defect framework for crystalline materials. Working from the hypothesis that the local atomic environments of a glassy material are constrained by enthalpy minimization to a low-dimensional manifold in atomic coordinate space, we develop a generalized distance function, the Gaussian Integral Inner Product (GIIP) distance, in connection with agglomerative clustering and diffusion maps, to parameterize that manifold. Applying this approach to a two-dimensional model crystal and a three-dimensional binary model metallic glass results in parameters interpretable as coordination number, composition, volumetric strain, and local symmetry. In particular, we show that a more slowly quenched glass has a higher degree of local tetrahedral symmetry at the expense of cyclic symmetry. While these descriptors require post-hoc interpretation, they minimize bias rooted in crystalline materials science and illuminate a range of structural trends that might otherwise be missed.

Tribological synergy of copper‐based metal–organic frameworks, carbon fibers and SiO2 in modifying the friction and wear properties of epoxy composites

AbstractCopper‐based metal–organic frameworks is anticipated to find applications in the field of friction materials owing to its plentiful surface‐active groups and distinctive framework structure. In this study, copper‐based metal–organic frameworks was synthesized through ultrasound‐assisted method and incorporated alone into carbon fiber reinforced epoxy composites or together with SiO2 nanoparticles towards the goal of improving the composites' friction and wear properties. It is revealed that copper‐based metal–organic frameworks alone cannot improve the friction and wear of carbon fiber reinforced epoxy composites simultaneously. The combination of copper‐based metal–organic frameworks and SiO2 nanoparticles was more effective in enhancing both the mechanical and tribological properties of studied composites. The composite material exhibits a friction coefficient of 0.104 under the specified test conditions of 10 MPa and 3.75 m/s. Additionally, the specific wear rate is impressively low, measuring only 5.64 × 10−7 mm3 N/m. Through morphological and chemical analysis on the worn surfaces and transfer films, the functioning mechanism of copper‐based metal–organic frameworks in modifying the mechanical and tribological properties was discussed. It was discovered that a tribological synergy exists between short carbon fibers, copper‐based metal–organic frameworks, and SiO2 fillers, leading to a shift in the wear mechanism of the composite materials from abrasive wear to adhesive wear. Concurrently, a shear‐prone transfer film forms on the surface of the counter steel surfaces. Findings of the present study pave a new route of designing high performance epoxy based tribo‐composites by using metal–organic frameworks.Highlights Cu‐BDC nanosheets were synthesized using ultrasound‐assisted techniques and incorporated as tribological fillers in EP composites. The combined use of Cu‐BDC, SiO2, and SCF fillers synergistically enhances the mechanical and tribological properties of EP composites. The composite material exhibits a friction coefficient of 0.104 under the specified test conditions of 10 MPa and 3.75 m/s, the specific wear rate is impressively low, measuring only 5.64 × 10−7 mm3N/m. During the sliding friction process of the composite materials, Cu‐BDC and SiO2 play a crucial role in reducing SCF pull‐out wear through their anchoring effect. The dynamic coordination bond structure of Cu‐BDC contributes to the formation of uniform and continuous transfer films on counter metal surfaces.

Master constraint approach to quantum-reduced loop gravity

We introduce a master constraint operator on the kinematical Hilbert space of loop quantum gravity representing a set of gauge conditions which classically fix the densitized triad to be diagonal. We argue that the master constraint approach provides a natural and systematic way of carrying out the quantum gauge-fixing procedure which underlies the model known as quantum-reduced loop gravity. The Hilbert space of quantum-reduced loop gravity is obtained as a particular space of solutions of the gauge-fixing master constraint operator. We give a concise summary of the fundamental structure of the quantum-reduced framework, and consider several possible extensions thereof, for which the master constraint formulation provides a convenient starting point. In particular, we propose a generalization of the standard Hilbert space of quantum-reduced loop gravity, which may be relevant in the application of the quantum-reduced model to physical situations in which the Ashtekar connection is not diagonal.

Location-scale modeling as an integrative approach to symptom dynamics during psychotherapy: An illustration with depressive symptoms.

Depressive symptom dynamics, including change trajectories and symptom variability, have been related to therapy outcomes. However, such dynamics have often been examined separately and related to outcomes of interest using two-step analyses, which are characterized by several limitations. Here, we show how to overcome these limitations using location-scale models in a dynamic structural equation modeling framework. We introduce location-scale modeling in an accessible manner to pave the way for its use in research integrating within-person dynamics and intervention-related change in psychopathology, and we illustrate this modeling approach in a large-scale internet-based intervention for depression (N = 1,656). Using eight data points sampled across about 8 weeks, we predicted improvement across the intervention (50% symptom reduction) as a function of early change and symptom variability. Early symptom change was associated with a more likely improvement across therapy. Variability of symptoms beyond change trajectories during the intervention was associated with less likely improvement. Location-scale models, and dynamic structural equation modeling more generally, are well suited to modeling how patterns of symptom change during psychotherapy are related to important (e.g., therapy) outcomes. Our illustrative application of location-scale modeling showed that symptom variability was associated with less overall improvement in depressive symptoms. However, this finding requires replication with more intensive sampling of symptoms before final conclusions can be drawn on when and how to distinguish maladaptive from adaptive variability during psychotherapy. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Trade Diversion effects of China`s Vat Export Rebates

AbstractThe utilization of value-added tax (VAT) export rebates serves as a key component of Chinese trade policy. While existing literature extensively demonstrates the positive impact of these rebates on Chinese exports, the potential negative repercussions for global trade, widely debated in the media, have remained relatively unexplored. This study assesses the trade diversion effects of China's VAT rebates within a "four-way" fixed effects Poisson Pseudo-Maximum Likelihood structural gravity framework spanning 75 countries over the period 2004–2018. The results indicate that, on average, a 1% increase in the rebate leads to a 2.62% reduction in third-country exports. The impact varies significantly at the country level. Wealthier nations with greater trade liberalization and diversified exports at the intensive margin are less susceptible to the effects of China’s export rebate policy. Additionally, there is evidence that countries exporting higher-quality goods experience more significant negative effects. Finally, the negative effects are driven by machinery and equipment sector and intensive margin.

The influence of actors on the content and execution of a bereavement programme: a Bourdieu-inspired ethnographical field study in Sweden

IntroductionThe death of a parent can have profound negative impacts on children, and a lack of adequate support can exacerbate negative life experiences.AimTo explore the influences of various actors on the content and execution of a bereavement programme within a Swedish context, considering relational and contextual perspectives.MethodsAn ethnographic field study involving six children, their parents, and eight volunteers. A theory-inspired thematic analysis was conducted, methodically inspired by Braun and Clarke, theoretically inspired by Bourdieu’s concepts of position, power, and capital.ResultsConfidentiality obligation was an essential element in the programme, however, the premisses varied depending on actors’ positions. Volunteers and researchers had different outlets to express their experiences in the program. The programme offered the children an exclusive space for talking about and sharing experiences and feelings. Simultaneously, the programme restricted the children by not allowing them to share their experiences and feelings outside the physical space. The physical settings shaped the different conditions for interactions among the actors. The sessions adopted loss-oriented approaches, where communication between volunteers and children was guided by the volunteers. However, children created strategies for additional, voiceless communication with their peers or themselves. During breaks and mingles, shared interests or spaces connected children (and adults) more than their common experience of parental bereavement.ConclusionThe participants in the programme were significantly influenced by the structural framework of the programme, and their positions within the programme provided them with different conditions of possibility for (inter)acting. Children’s daily activities and interests were both ways to cope with parental bereavement and connect them to other people.

A Novel Bayesian Empowered Piecewise Multi-Objective Sparse Evolution for Structural Condition Assessment

In this study, a novel Bayesian empowered piecewise multi-objective function is developed, in which a traditional objective function is applied to realize the rough optimization in the first stage to determine the approximate results. Then, a sparse Bayesian learning-based objective function is applied to realize refined optimization with the obtained approximate results in the second stage. On the other hand, considering the sparsity of the structural damage identification, two simple but effective calculation frameworks, the colony initial sparsification and elite clustering framework, are integrated into the evolution, making the algorithm adaptable to handle the defined sparse optimization problem. Therefore, the proposed calculation framework is more efficient and robust while no initial conditions are needed. We will carry out a numerical example on a truss and an experimental validation on a fixed-end beam with a single-sensor measurement system to verify the method.

A reliability-constrained optimisation framework for offshore wind turbine support structures

ABSTRACT A new approach that links finite element analysis (FEA) and a genetic algorithm (GA) with Monte Carlo simulation (MCS) for the reliability-constrained optimal design of offshore wind turbine (OWT) support structure is presented. This approach has been applied to optimise the NREL 5MW OWT on OC3 support structure. The objective function minimises the weight of the support structure, constrained to design and performance limits, by attaining the desired reliability level. A response analysis of the reference OWT is performed to estimate design loads. Then, deterministic optimisation (DO) is carried out to find the candidate design solutions. After that, a reliability assessment is conducted to apply the target reliability constraint. This study reveals that the design of a monopile support structure is mainly driven by fatigue limit state. Also, there is no guarantee that DO candidate designs always meet the structural reliability target level in all capacities.

Low-cost solar septic tanks as sustainable sanitation solution: a case study implemented in Cambodia

ABSTRACT The integration of a solar septic tank (SST) system with an economically viable solar water-heating apparatus comprising polyethylene (PE) and copper (Cu) pipes, as well as a lightweight structural framework, has been conceptualized and implemented. Two variants of low-cost SSTs were subjected to empirical scrutiny within authentic settings, encompassing public toilets and residential establishments in Cambodia. Both the PE pipe and Cu pipe solar water-heating devices demonstrated efficacy in consistently maintaining temperatures within the system above ambient levels. Although the parameters do not conform to Cambodia's effluent requirements, the results of this study suggest that the SST is effective in reducing organic loads and provides a significant improvement over conventional septic tank effluent. This underscores the potential applicability of the developed system for the treatment of toilet wastewater, thereby mitigating pollution concerns and public health risks. Harnessing solar energy to elevate septic tank temperature, this system's cost varies but includes materials, tools, and miscellaneous components, with a total estimated cost ranging from $600 to $2500, depending on size and complexity.

Structural Characterisation of Zeolites Derived from Lithium Extraction: Insights into Channel- and Cage-Type Frameworks

This study investigates the structural and adsorption characteristics of channel- and cage-type zeolites obtained through lithium extraction. Through XRD, FT-IR spectroscopy, and adsorption isotherm analyses, distinct adsorption behaviours of CH4 and CO2 were observed in both zeolite types. Cage-type zeolites exhibited higher adsorption capacities attributed to their structural advantages, highlighting the importance of structural framework selection in determining adsorbent efficacy. The presence of structural defects and an amorphous phase influenced adsorption behaviours, while thermodynamic data underscored the role of adsorbate properties. Kinetics studies revealed the influence of the structural framework on CH4 adsorption and CO2 adsorption kinetics. Analysis of adsorbate–adsorbent interactions demonstrated robust interactions, particularly with LPM16-Y. These findings offer insights into the potential applications of zeolites in gas adsorption processes, emphasising the importance of structural properties and adsorbate characteristics in determining adsorption performance.

Personalized Stress Detection Using Biosignals from Wearables: A Scoping Review

Stress is a natural yet potentially harmful aspect of human life, necessitating effective management, particularly during overwhelming experiences. This paper presents a scoping review of personalized stress detection models using wearable technology. Employing the PRISMA-ScR framework for rigorous methodological structuring, we systematically analyzed literature from key databases including Scopus, IEEE Xplore, and PubMed. Our focus was on biosignals, AI methodologies, datasets, wearable devices, and real-world implementation challenges. The review presents an overview of stress and its biological mechanisms, details the methodology for the literature search, and synthesizes the findings. It shows that biosignals, especially EDA and PPG, are frequently utilized for stress detection and demonstrate potential reliability in multimodal settings. Evidence for a trend towards deep learning models was found, although the limited comparison with traditional methods calls for further research. Concerns arise regarding the representativeness of datasets and practical challenges in deploying wearable technologies, which include issues related to data quality and privacy. Future research should aim to develop comprehensive datasets and explore AI techniques that are not only accurate but also computationally efficient and user-centric, thereby closing the gap between theoretical models and practical applications to improve the effectiveness of stress detection systems in real scenarios.

Subterranean river captures in siliciclastic rocks in a semiarid climate: the case of the Poti River Canyon, Brazilian Northeast

This research investigates a possible subterranean river capture responsible for the morphogenesis of the Poti RiverCanyon, which crosses the uplifted edge of the Parnaíba Basin, in the northern Northeast of Brazil. Morphological andlithostructural evidence of river captures was analysed using remote sensing products (e.g., drainage network, topography,paleotopography, structural framework) and field expeditions. The results indicated a sudden inflexion of the upper courseof the Poti River, low and anomalous divides in the local geomorphological context, canyon with valley segments exhibitingasynchronous morphologies, and block collapse controlled by dissolution along fracture networks. Given this set of data, wepropose an evolutionary model of subterranean river capture for the formation of the Poti River canyon, which, throughpaleotopographic modelling, was linked to the Pleistocene epoch. This drainage rearrangement would have been influencedby a Neogene-Quaternary morphogenetic framework of structural reactivations, regional uplift, and climatic oscillations. Onthis basis, it was concluded that epigenetic processes were significant for a drainage rearrangement of approximately 10,540km² of areas in a semiarid region with sandstone substrate.

Three-dimensional flutter analysis of a novel circular sandwich plate employing hyperbolic shear deformation theory

Magnetorheological elastomers (MREs) Characterize a category of intelligent materials renowned for their distinct responsiveness to external magnetic fields, demonstrating swift alterations in their mechanical and rheological characteristics. The amalgamation of graphene platelets (GPLs) with MREs, termed GPL-reinforced MRE (GPL-MRE), heralds a novel material category imbued with the adaptive traits of MREs and the structural robustness inherent in GPLs. Such compositional innovation renders this material exceptionally suited for an array of applications across diverse structural frameworks. This research endeavors to scrutinize the flutter boundary of a smart circular sandwich plate featuring a core layer infused with GPL-MRE and variable stiffness composite laminated (VSCL) face layers within the context of supersonic airflow and resting upon a viscoelastic foundation. A novel hyperbolic shear deformation theory is invoked to delineate the displacement field of the sandwich plate. The mechanical properties of the mid-layer are delineated employing the Halpin-Tsai micromechanical methodology. The study probes the effect of supersonic airflow on the structure employing the first-order Piston theory (FPT) in polar coordinates. Hamilton's principle is utilized for deriving the equation of motion governing the structural dynamics in the Finite Element format. Paramount to this investigation is the exploration of assorted parameters and their impact on the flutter occurrence of the structure.

Structural framework of the Caswell Sub-basin, North West Shelf, Australia

The Caswell Sub-basin, situated within the Browse Basin in the North West Shelf constitutes one of Australia’s primary hydrocarbon producing regions, with notable gas-condensate producing fields including Ichthys and Prelude. Jurassic syn-rift sandstones are extensively distributed across the basin and serve as one of the major reservoirs. However, reservoir sequences are typically intensely faulted and exhibit heterogeneity in thickness and lithofacies, with some areas experiencing localised erosion on uplifted fault blocks (e.g. Northern Caswell Sub-basin). Hence, understanding the nature of the 3D fault patterns and their growth history is crucial for evaluating the reservoir characteristics for field development and additional exploration activities. This study, therefore, aims to evaluate the structural framework and the tectonic evolution of the Caswell Sub-basin. Detailed structural interpretation of Paleozoic and younger sequences was conducted using multiple 3D seismic datasets extending over Ichthys, Prelude, Lasseter, and Crown fields. Our study focuses mainly on Mesozoic faulting patterns and kinematics evaluated from interpreted structural maps, thickness changes of each stratigraphic interval and fault throw profiles of major bounding faults. The extensional phase during the Early–Middle Jurassic triggered the development of NE–SW trending faults and the deepening of the Brewster Graben. While, from the Late Jurassic to the Early Cretaceous, the development of E–W trending faults in the north of the Crown and Lasseter fields indicate a shift in the regional stress regime. We highlight the importance of evaluating the structural linkage from basement to cover sequences to achieve a comprehensive understanding of reservoirs and associated petroleum systems.

QUALITY OF CARE FOR PATIENTS WITH ACUTE HEART FAILURE: RESULTS OF THE FIRST 3 MONTHS OF THE QUALITY IN CARDIOLOGY (QIC) PROJECT

Abstract Background Assessing the quality of care is the first step for improve the management of patients with acute heart failure (AHF). The European Society of Cardiology (ESC) recently defined a set of quality indicators (QI) of care for AHF. Aim: To evaluate the quality of care of patients admitted to the Cardiology ward of our first level hospital for an AHF using the ESC QI. Methods QiC project is a prospective quality improvement study in real–world practice on all patients admitted in our ward for an AHF from 1.5.2023 to 30.4.25 with six–monthly audit activities. Case record forms were filled in by doctors during admission and were attached to the patient’s discharge letter. The ESC QI include 12 main and 4 secondary QI on structural framework, patient assessment, initial treatment, and assessment of patient health–related quality of life. For each QI was evaluated the percentage of QI assessable and attained. Results A total of 39 patients were admitted for AHF in our Cardiology Department in the first 3 months. One patient denied consent, one died during hospitalization, 5 patients had to be transferred to another hospital, and 7 did not have their record form filled in. The median age of the 25 patients discharged alive was 76 (IQR 64–83) years, 17 (68.0%) were males, 3 (12.0%) had a preserved, 1 (4.0%) mildly reduced, and 21 (84.0%) reduced ejection fraction. The percentages of non–assessment, non–attainment and attainment for each QI are reported in the Figure: the degree of non–assessment of the 16 QI ranged from 0 to 16% and the degree of QI attainment from 12 to 100%. Conclusions The quality of care for acute heart failure can be measured in the majority of patients admitted to our Cardiology Department using the ESC quality indicators. Although the majority of quality indicators are met in our patients, a large room for improvement is present in the domain of the patient assessment (mainly in completeness of blood tests and cardiac rehabilitation programme), of the initial treatment (SGLT2 inhibitor prescription), and of the assessment of patient health–related quality of life.