Simple Alternatives Research Articles

A retrospective comparative study on the effectiveness of multisite injection versus arthroscopic capsular release for idiopathic frozen shoulder

Arthroscopic capsular release is a most well-known technique with favorable outcomes for frozen shoulder. However, considering the surgical trauma and the improvement of multisite injection, we design a study to compare the pain relief and safety of multisite injection (MI) versus arthroscopic capsular release (ACR) for frozen shoulder. A total of 80 patients with unilater al frozen shoulder were enrolled in this study. Group RBT (n = 40) received multisite injection (0.5% lidocaine and triamcinolone acetonide, once a week, no more than 2 injections), while Group ACR received arthroscopic capsular release. The following parameters were employed to compare: visual analog scale (VAS), range of motion (ROM), the Disability of Arm, Hand, and Shoulder (DASH) score and Oxford shoulder score (OSS). Side effects were also recorded. The VAS, ROM, DASH and OSS all improved significantly (P < 0.001). Internal rotation and external rotation at 1 month after operation were better in ACR group (40.35 ± 4.79 Vs 36.58 ± 7.49, 40.55 ± 4.37 Vs 38.63 ± 4.01, P = 0.009,0.043). However, no significance in terms of functional results and ROM was found at 6 months after operation. The OSS, DASH and VAS in patients with diabetes were 44.25 ± 3.05, 2.29 ± 1.12 and 0.50 ± 0.72, compared with 43.89 ± 3.09, 2.34 ± 1.49 and 0.29 ± 0.56 in patients without diabetes (P = 0.636, 0.889, 0.157). Multisite injection and arthroscopic capsular release are both effective treatments in the treatment of frozen shoulder. However, multisite injection is a simple, cost effective and superior alternative.

Modified culture media development using locally available fertilizers and vitamin supplements for continuous mass culture of Chaetoceros gracilis

Microalgae culture is a vital nutritional resource for hatchery development in aquaculture and has gained significant interest as a sustainable food ingredient, versatile feedstock for biofuels, with broad industrial applications. The high cost of microalgae culture media hinders mass production, necessitating the development of affordable, simpler alternatives for commercial viability. The aim of this study was to develop a modified culture media for Chaetoceros gracilis utilizing locally available fertilizers and vitamins. In the first experiment, the cell density of C. gracilis across four fertilizers combinations (T1, T2, T3 and T4) with three replicates was evaluated to identify the best performing fertilizers recipe. The significantly higher cell density was observed in T1, where a combination of urea, TSP, mineral mix, EDTA, silicate gel, NPK, compost were used, than the other treatments where one or more ingredients were missing. The growth curve showed that with 1 ml/L fertilizers combination of T1 cell density peaked (21.8×10^5 cell/ml) at day three with the death phase starting at day 04. In the second experiment, the effect of vitamin addition was evaluated with T1 considering as control (V0-without vitamin supplement) and, the Multivitamin-Zinc B and Neobion addition with T1 as treatment V1 and V2, respectively. While Neobion addition significantly increased cell density, multivitamin-Zinc B addition reduced the cell density. Finally, the potentiality of continuous culture of C. gracilis with the modified fertilizer media (V2) was evaluated. The cell density in 300 L tank culture starting from 6.6×10^5 cell/ml peaked 23.8 ×10^5 cell/ml at day two and remained relatively static until investigation finished with the supplement of V2 media two days interval. The present study suggest that development of modified fertilizer media using affordable, locally sourced ingredients for algae cultivation in the hatcheries and aquaculture industry could create an alternative to relying on pure laboratory-grade media.

Deep learning approaches to lexical simplification: A survey

AbstractLexical Simplification (LS) is the task of substituting complex words within a sentence for simpler alternatives while maintaining the sentence’s original meaning. LS is the lexical component of Text Simplification (TS) systems with the aim of improving accessibility to various target populations such as individuals with low literacy or reading disabilities. Prior surveys have been published several years before the introduction of transformers, transformer-based large language models (LLMs), and prompt learning that have drastically changed the field of NLP. The high performance of these models has sparked renewed interest in LS. To reflect these recent advances, we present a comprehensive survey of papers published since 2017 on LS and its sub-tasks focusing on deep learning. Finally, we describe available benchmark datasets for the future development of LS systems.

MitoBADY-based Raman sensing of neutrophil-like cells

The aim was to evaluate the potential of MitoBADY as a Raman sensor in monitoring the drug-induced differentiation of promyelocytic cells into neutrophils. Neutrophils are important immune system components, and their metabolic disorders lead to serious diseases. Primary neutrophils found in the bloodstream are short-lived cells, terminally differentiated, and unable to proliferate. Thus, the characteristics of induced differentiation of promyelocytic cells are valuable for better chemotherapy design, as it is difficult to conduct such studies in vivo or ex vivo in bone marrow environments. Alternatively, a stable in vitro model can be used to analyze the differentiation process, e.g., the HL-60 promyelocytic leukemia cell line. The standard method to confirm the promyelocytic differentiation is immunophenotyping, which is complex and laborious. Here, we propose a simple spectroscopic-based alternative that uses the Raman signal of the MitoBADY sensor to identify neutrophil-like cells. We found that the ratio of the intensity of three bands, i.e., A= (I750+I2220)/I750, B=(I2850+I2220)/I2850, and A/B, of the Raman spectra of cells incubated with the MitoBADY is a specific marker indicating the induction of neutrophil differentiation of HL-60 cells. Flow cytometry, measuring the level of the expression of the CD11b surface protein, was used as a reference method. Raman measurements allowed the classification of neutrophil-like cells with a sensitivity of 79.8 % and a specificity of 79.5 %. These values demonstrate the great potential of the proposed methodology as a rapid and reliable technique for the evaluation of the differentiation of promyelocytic cells into neutrophils.

Synthesis of Silver Nanoparticles Using Haplophyllum robustum Bge. Extract: Antibacterial, Antifungal, and Scolicidal activity against Echinococcus granulosus Protoscolices

Background: Silver nanoparticles (AgNPs) biosynthesized via the deployment of plant extractives have garnered much attention, especially due to their antimicrobial properties. Herein, the green synthesis of silver nanoparticles has been accomplished using the aqueous extract of Haplophyllum robustum, which includes a study of its antibacterial, antifungal, and scolicidal activity. Methods: The preparative process was followed by characterization using UV-Vis spectroscopy, and the ensuing spherical AgNPs of average size 7-25 nm were identified by Dynamic Light Scattering (DLS), X-Ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and Transmission Electron Microscopy (TEM). The antibacterial, antifungal, and scolicidal activities of AgNPs were assessed by deploying disc diffusion and microdilution methods against four standard bacteria and four typical Candida species and liver hydatid cyst protoscoleces, where they exhibited good biological activity. Results: The results showed that the greener synthesis of silver nanoparticles using the aqueous extract of renewable and abundant H. robustum plant is a simple, inexpensive, and safer alternative that does not use any toxic or harmful substances. Conclusion: Thus, with minimal or no side effects, this approach to AgNPs bodes well for their appliances as antibacterial, antifungal, and scolicidal agents.

Simplified soil–structure interaction modeling techniques for the dynamic assessment of end shield bridges

In this paper, the dynamic behavior of four railway bridges with integrated retaining walls, considering the effect of soil–structure interaction (SSI), is investigated both numerically and experimentally. Among these bridges, two are single-span, and the remaining two are three-span. Each bridge is equipped with numerous accelerometers and is excited by a hydraulic actuator across various frequencies. Full 3D solid Finite Element (FE) models incorporating the railway bridges and surrounding soils are developed and calibrated using the Frequency Response Functions (FRFs) from each accelerometer. Furthermore, simplified 3D solid and 2D beam models are created for each railway bridge, incorporating springs and dashpots to account for the effect of surrounding soils. The values for these springs and dashpots are obtained from simple equations, except for the impact of the backfill soil in the simplified 2D beam models, which are derived from the impedance functions of the soil medium. The performance of these simplified models is then compared to the calibrated 3D models in terms of modal properties of the first bending mode and the maximum acceleration response during high-speed train passages. The results indicate that the simplified models closely align with the calibrated models in terms of modal properties and high-speed train passage response and can be used as simple and efficient alternatives for practical usage in bridge design.

Deep Interface Alternation Method (DIAM) based on domain decomposition for solving elliptic interface problems

The interface problem is highly challenging due to its non-smoothness, discontinuity, and interface complexity. In this paper, a new and simple Deep Interface Alternation Method (DIAM) is developed to solve elliptic interface problems to avoid dealing with interfaces. It combines the ideas of domain decomposition methods and deep learning methods. Specifically, we first transform the interface problem with discontinuous derivatives into multiple continuous subproblems based on the Dirichlet–Dirichlet algorithm of domain decomposition. Then, we establish different fully connected neural networks for each subproblem to approximate parallelly the continuous solutions in the subdomain. The interface information is especially exchanged among the different loss functions of each subdomain neural network while minimizing the loss functions of each subdomain separately to obtain solutions to the entire interface problem. Numerical experiments were conducted on two-dimensional and three-dimensional elliptical interface problems with different coefficient contrasts and interface complexity. The results indicate that the Deep Interface Alternation Method has effectiveness and accuracy.

Measurements of Soil Water Potential and Conductivity based on a Simple Evaporation Experiment using a Hydraulic Property Analyzer.

The measurement of soil hydraulic properties is critical in understanding the physical components of soil health as well as integrated knowledge of soil systems under various management practices. Collecting reliable data is imperative for informing decisions that affect agriculture and the environment. The simple evaporation experiment described here uses instrumentation in a laboratory setting to analyze soil samples collected in the field. The soil water tension of the sample is measured by the instrument, and tension data is modeled by software to return soil hydraulic properties. This method can be utilized to measure soil water retention and hydraulic conductivity and give insight into differences in treatments or environmental dynamics over time. Initial establishment requires a user, but data acquisition is automated with the instrument. Soil hydraulic properties are not easily measured with traditional experiments, and this protocol offers a simple and optimal alternative. Interpretation of results and options for extending the data range are discussed.

Nitric oxide-generating metallic wires for enhanced metal implants

Metallic implants are integral in modern medicine, offering excellent biocompatibility and mechanical properties. However, implant-related infections pose a major challenge. Current drug delivery methods, such as surface-coated and drug-eluting implants, are limited by finite drug supplies and complex manufacturing steps. Recent approaches like local drug synthesis, including enzyme-prodrug therapies, present innovative solutions but are hampered by the inherent limitations of enzymes as well as complex procedures. Here, we introduce a simpler alternative: using the intrinsic properties of implant materials to activate prodrugs. Through a simple thermal treatment, metallic implants gain catalytic properties to locally generate nitric oxide, an antibacterial agent. Our findings show this treatment is non-toxic to cells, does not affect cell proliferation rates, and effectively inhibits bacterial biofilm formation. This material-driven approach eliminates the need for external chemical or enzymatic interventions, offering a promising solution to prevent implant-related infections and improve patient outcomes in implant medicine.

A Novel Cost-Effective Approach To Flow Visualization Using Particle Streak Angles

Comprehending the complexity of pipe flow dynamics is important for a variety of sectors, including environmental, industrial, and engineering research. Conventional techniques such as Particle Image Velocimetry (PIV) and Laser Doppler Velocimetry (LDV) have long been the heart of these kinds of investigations, but they are often quite expensive and complex. Our research offers a novel, affordable visualization method that aims to transform the way we examine and interpret flow dynamics in response to these challenges. Our method is developed to utilize a low-cost camera system with a simple laser setup to investigate fluid dynamics inside pipes. By introducing particles into the flow and manipulating the camera shutter speed in real-time under the laser, we created streaks capable of displaying complex flow patterns. We gathered precise information about streak angles using rigorous image processing, providing clarity in our insights into the flow dynamics of the particulate pipe flow. Notably, our strategy eliminates the need for expensive and sophisticated equipment while providing researchers and practitioners with a simple yet reliable alternative. The potential for improving our knowledge of pipe flow dynamics is shown by preliminary studies that demonstrate how well it captures dynamic flow characteristics. Our technique, which is easy to use and effective, promises fresh insights into fluid dynamics and opens up new avenues for pipe flow analysis, making it suitable for a broad spectrum of users.

Enhanced Dendrite Resistance in Reversible Electrochemical Pneumatic Batteries with Nanoimprinted Nanowire Anodes for Jamming Robots

Traditional electric robots often rely on heavy gear units or expensive force–torque sensors, whereas pneumatic robots offer a cost-effective and simple alternative. However, their dependence on noisy and bulky pneumatic systems, such as compressed air technology, limits their portability and adaptability. To overcome these challenges, we have developed a reversible electrochemical pneumatic battery (REPB) that is compact, noise-free, energy-efficient, and portable. This innovative REPB, principled by the electrochemical redox reactions of zinc–air batteries, can simultaneously supply both electric and pneumatic power, either positive or negative pressure. Its modular, multi-stack structure allows for the easy customization of power output and capacity to suit various applications. We demonstrate the utility of REPB through its application in jamming robots, such as a novel soft yet robust gripper that merges the strengths of hard and soft grippers, enabling universal robotic gripping. This work presents a groundbreaking approach to powering devices that require pneumatic support.

Impact of disc magnetisation on MHD disc wind signature

Context. Observations of blue-shifted X-ray absorption lines indicate the presence of wind from the accretion disc in X-ray binaries. Magnetohydrodynamic (MHD) driving is one possible wind-launching mechanism. Recent theoretical developments have made self-similar magnetic accretion-ejection solutions much more generalised, showing that wind can be launched at a much lower magnetisation than the equipartition value, which had previously been the only possibility. Aims. In this work, we model the transmitted spectra through MHD-driven photoionised wind models with different levels of magnetisation. We investigate the possibility of detecting absorption lines by upcoming instruments, such as XRISM and Athena. We investigate the robustness of the method of fitting asymmetric line profiles by multiple Gaussians. Methods. We used the photoionisation code XSTAR to simulate the transmitted model spectra. To cover the extensive range of velocity and density of the wind spanned over a large distance (∼105 gravitational radii), we divided the wind into slabs following a logarithmic radial grid. Fake observed spectra are finally produced by convolving model spectra with instrument responses. Since the line asymmetries are apparent in the convolved spectra as well, this can be used in future XRISM and Athena spectra as an observable diagnostic to fit for. We applied some amount of rigor in assessing the equivalent widths of the major absorption lines, including the Fe XXVI Lyα doublets, which will be clearly distinguishable thanks to the superior quality of future high-resolution spectra. Results. Disc magnetisation stands as another crucial MHD variable that can significantly alter the absorption line profiles. Pure MHD outflow models at low magnetisation are dense enough to be observed by the existing or upcoming instruments. Therefore, these models can serve as simpler alternatives to MHD-thermal models. Fitting with multiple Gaussians is a promising method for handling asymmetric line profiles, as well as the Fe XXVI Lyα doublets.

Application of Digital Correlation-Spectral Analysis for Identification, Classifiaction and Separation of Plant Roots and Plant Root Tissues: Simple Low-Cost Alternatives for Laser Diffractometer Based 2D FFT Pattern Recognition Techniques

Application of Digital Correlation-Spectral Analysis for Identification, Classifiaction and Separation of Plant Roots and Plant Root Tissues: Simple Low-Cost Alternatives for Laser Diffractometer Based 2D FFT Pattern Recognition Techniques

Simplicity Matters: Unraveling the Impact of Minimalist Packaging on Green Trust in Daily Consumer Goods

This study delves into the complex dynamics of consumer attitudes toward sustainable products, particularly within the fast-moving consumer goods category, highlighting the significant correlation between elegant and minimalist design aesthetics and the establishment of green trust in sustainable product offerings. Interestingly, while visually complex packaging may capture visual attention, it does not generate higher levels of green trust compared to simpler alternatives within the same product category. The findings underscore the importance of simple packaging design in mitigating consumer skepticism toward manipulative intentions and enhancing trust in sustainable products. Furthermore, this research reveals that individuals with higher levels of expertise possess deeper insights in perceiving complexity as a potential form of manipulation, thereby exacerbating skepticism toward sustainable products. In summary, the research outcomes guide sustainable product packaging design, emphasizing alternative solutions to convoluted designs that may lead to confusion. The effectiveness of simple design expression in sustainable products is emphasized, fostering the transition toward sustainable business efficacy and long-term development.

Delivery of miRNAs Using Porous Silicon Nanoparticles Incorporated into 3D Hydrogels Enhances MSC Osteogenesis by Modulation of Fatty Acid Signaling and Silicon Degradation.

Strategies incorporating mesenchymal stromal cells (MSC), hydrogels and osteoinductive signals offer promise for bone repair. Osteoinductive signals such as growth factors face challenges in clinical translation due to their high cost, low stability and immunogenicity leading to interest in microRNAs as a simple, inexpensive and powerful alternative. The selection of appropriate miRNA candidates and their efficient delivery must be optimised to make this a reality. This study evaluated pro-osteogenic miRNAs and used porous silicon nanoparticles modified with polyamidoamine dendrimers (PAMAM-pSiNP) to deliver these to MSC encapsulated within gelatin-PEG hydrogels. miR-29b-3p, miR-101-3p and miR-125b-5p are strongly pro-osteogenic and are shown to target FASN and ELOVL4 in the fatty acid biosynthesis pathway to modulate MSC osteogenesis. Hydrogel delivery of miRNA:PAMAM-pSiNP complexes enhanced transfection compared to 2D. The osteogenic potential of hBMSC in hydrogels with miR125b:PAMAM-pSiNP complexes is evaluated. Importantly, a dual-effect on osteogenesis occurred, with miRNAs increasing expression of alkaline phosphatase (ALP) and Runt-related transcription factor 2 (RUNX2) whilst the pSiNPs enhanced mineralisation, likely via degradation into silicic acid. Overall, this work presents insights into the role of miRNAs and fatty acid signalling in osteogenesis, providing future targets to improve bone formation and a promising system to enhance bone tissue engineering.

Performance of several clinical scoring systems as predictors of adverse outcomes in acute exposure to toxic alcohols.

Toxic alcohols are chemicals with common metabolic characteristics resulting in severe morbidities and mortalities. The current study aimed to assess the efficacy of six scoring systems: The Poison Severity Score (PSS), Acute Physiology and Chronic Health Evaluation (APACHE) II score, Sequential Organ Failure Assessment (SOFA) score, Rapid Acute Physiology Score (RAPS), Rapid Emergency Medicine Score (REMS), and Modified Early Warning Score (MEWS) in stratifying the patients exposed to toxic alcohol based on liability of organ failure, prolonged hospital stay, and need for an antidote. A seven-year retrospective cross-sectional study was conducted using medical records of adult patients admitted to a poison control center. About 42.6% were complicated with adverse outcomes. Methanol was the worst toxic alcohol and the only cause of blindness and death. About 27.1% of methanol-exposed patients suffered from acute kidney injury, 15.3% suffered from hemodynamic instability and neurological dysfunction, and 8.5% suffered from respiratory failure. An APACHE II score above 8 was the best predictor of unfavorable outcomes, exhibiting the highest area under the curve (0.972), followed by the SOFA score. The APACHE II score was praised for being the best discriminator of an expected prolonged hospital stay. Yet, the simple scores, including RAPS and REMS, showed good performance as unfavorable outcome predictors with no significant variations to PSS, APACHE II score, and SOFA scores. The current study concluded that though the APACHE II and SOFA scores were superior to others, the RAPS and REMS are good, simple, and effective alternatives, particularly when resources are restricted.

Wagers for work: Decomposing the costs of cognitive effort.

Some aspects of cognition are more taxing than others. Accordingly, many people will avoid cognitively demanding tasks in favor of simpler alternatives. Which components of these tasks are costly, and how much, remains unknown. Here, we use a novel task design in which subjects request wages for completing cognitive tasks and a computational modeling procedure that decomposes their wages into the costs driving them. Using working memory as a test case, our approach revealed that gating new information into memory and protecting against interference are costly. Critically, other factors, like memory load, appeared less costly. Other key factors which may drive effort costs, such as error avoidance, had minimal influence on wage requests. Our approach is sensitive to individual differences, and could be used in psychiatric populations to understand the true underlying nature of apparent cognitive deficits.

Initial Impact of Different Feeding Methods on Feed Intake Time in Stabled Icelandic Horses.

The natural behaviour of horses is to spend the majority of their time on feed intake The feeding of stabled horses is, however, often far from that, as their feed intake is limited to their nutritional requirements. In order to approach their natural foraging time, it is important to extend the feed intake time of stabled horses. The aim of this study was to estimate if the feed intake time differs when feeding haylage in a haynet, hayball, metal corner manger, or from the box floor. The experimental design consisted of a Latin square, occurred across four days with four adult Icelandic horses and four treatments. Horses were stabled in individual boxes and fed 7 kg of high-energy haylage in two even meals while the intake time was recorded. The feed intake time per kg DM was shorter from the manger or the box floor than from a haynet or hayball (81 or 85 min versus 94 or 96 min; p < 0.05). It can be concluded that feeding haylage in a hayball or in a haynet can increase the feed intake time by 13% per day (12 min/kg DM/day) when compared to the more traditional methods. Thus, with simple alternatives, it is possible to extend the feed intake time of stabled horses.

The Bitcoin Backbone Protocol: Analysis and Applications

Bitcoin is the first and most popular decentralized cryptocurrency to date. In this work, we extract and analyze the core of the Bitcoin protocol, which we term the Bitcoin backbone , and prove three of its fundamental properties which we call Common Prefix , Chain Quality and Chain Growth in the static setting where the number of players remains fixed. Our proofs hinge on appropriate and novel assumptions on the “hashing power” of the protocol participants and their interplay with the protocol parameters and the time needed for reliable message passing between honest parties in terms of computational steps. A takeaway from our analysis is that, all else being equal, the protocol’s provable tolerance in terms of the number of adversarial parties (or, equivalently, their “hashing power” in our model) decreases as the duration of a message passing round increases. Next, we propose and analyze applications that can be built “on top” of the backbone protocol, specifically focusing on Byzantine agreement (BA) and on the notion of a public transaction ledger. Regarding BA, we observe that a proposal due to Nakamoto falls short of solving it, and present a simple alternative which works assuming that the adversary’s hashing power is bounded by 1/3. The public transaction ledger captures the essence of Bitcoin’s operation as a cryptocurrency, in the sense that it guarantees the liveness and persistence of committed transactions. Based on this notion we describe and analyze the Bitcoin system as well as a more elaborate BA protocol and we prove them secure assuming the adversary’s hashing power is strictly less than 1/2. Instrumental to this latter result is a technique we call 2-for-1 proof-of-work (PoW) that has proven to be useful in the design of other PoW-based protocols.

Measuring the variability of personality traits with interval responses: Psychometric properties of the dual-range slider response format

Measuring the variability in persons’ behaviors and experiences using ecological momentary assessment is time-consuming and costly. We investigate whether interval responses provided through a dual-range slider (DRS) response format can be used as a simple and efficient alternative: Respondents indicate variability in their behavior in a retrospective rating by choosing a lower and an upper bound on a continuous, bounded scale. We investigate the psychometric properties of this response format as a prerequisite for further validation. First, we assess the test–retest reliability of factor-score estimates for the width of DRS intervals. Second, we test whether factor-score estimates of the visual analog scale (VAS) and the location of DRS intervals show convergent validity. Third, we investigate whether factor-score estimates for the DRS are uncorrelated between different personality scales. We present a longitudinal multitrait-multimethod study using two personality scales (Extraversion, Conscientiousness) and two response formats (VAS, DRS) at two measurement occasions (6–8 weeks apart) for which we estimate factor-score correlations in a joint item response theory model. The test–retest reliability of the width of DRS intervals was high (ρ^≥.73\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hat{\\rho } \\ge .73$$\\end{document}). Also, convergent validity between location scores of VAS and DRS was high (ρ^≥.88\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hat{\\rho } \\ge .88$$\\end{document}). Conversely, discriminant validity of the width of DRS intervals between Extraversion and Conscientiousness was poor (ρ^≥.94\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\hat{\\rho } \\ge .94$$\\end{document}). In conclusion, the DRS seems to be a reliable response format that could be used to measure the central tendency of a trait equivalently to the VAS. However, it might not be well suited for measuring intra-individual variability in personality traits.