Scale Level Research Articles

Semantics of light as a tool for shaping the architecture of the modern era

The semantics of light is considered through the prism of a cultural phenomenon, as an object of research, as well as a tool for the formation of visual and spatial characteristics of architecture from ancient times to the architecture of the modern era. It is emphasized that light, as a tool, is semantically perceived in mythological representations, aesthetic and philosophical treatises, in the theory of architecture. An analysis of the use of light in the formation of an artistic image in the architecture of the latest era is provided from the point of view of physical-spatial, aesthetic-emotional and figurative-semantic aspects according to the levels of scale: macro-scale, meso-scale, micro-scale. The perception of architecture is revealed through the semantics of using natural light as speech, which conveys meaning through light-spatial plasticity and generates certain emotions and feelings. Spaces, objects, exhibits, parts of structures illuminated in one way or another reveal the semantic meaning of light as a powerful tool and show the external (physical) and internal (sensory) beauty and aesthetics of the object. The semantics of light in architecture affects the formation of design and general atmosphere, contributes to the creation of emotional depth and cultural significance of buildings and structures. The following semantic principles of light are highlighted in the work: the interaction of light with the urban context – the lighting design of buildings and structures is integrated into the existing urban environment to convey one or another message; conveying the symbolic meaning of light through metaphor and narrative – light is used to reinforce a key idea or theme of buildings and structures, and its meaning influences cultural identity by reflecting local features and national symbols; emotional impact and creation of an atmosphere - a variety of lighting techniques contributes to the enrichment of emotional and personal experience.

Data Envelopment Analysis (DEA) to Estimate Technical and Scale Efficiencies of Smallholder Pineapple Farmers in Ghana

This study focuses on evaluating the technical and scale efficiencies of smallholder pineapple farmers in Ghana’s Central Region. We surveyed 320 participants selected using random sampling and applied an input-oriented Data Envelopment Analysis (DEA) method to gauge their technical, pure, and scale efficiencies. Our findings indicate that the mean technical efficiency among these farmers is 0.505, with individual scores ranging from 0.079 to 1.000. Notably, 90.82% of the farmers are operating below maximum efficiency levels, suggesting a potential input reduction of up to 49.5% while maintaining current production levels. Relaxing the assumption of constant returns under Variable Returns to Scale (VRS) conditions reveals a notable improvement in technical efficiency, with 10.82% more farmers achieving optimal efficiency levels. Furthermore, our analysis highlights scale inefficiencies, with 67.26% of farmers operating below optimal scale levels. By increasing production by 22.8%, these scale-inefficient farmers could enhance their efficiency and productivity within existing technological frameworks. These findings underscore the importance of collaborative efforts among policymakers, practitioners, and stakeholders within the agricultural value chain to implement interventions such as improving access to technology and innovation for smallholder farmers and making necessary investments in farmer education and training programs to enhance both technical and scale efficiencies in Ghana’s pineapple sector. Such initiatives can drive sustainable growth, improve farmers’ livelihoods, and bolster the sector’s overall competitiveness.

What Is Missing in Offshore Explosive Ordnance Disposal Risk Assessment?

Offshore explosive ordnance disposal (EOD) in the marine environment is a high-risk activity. Structured risk assessment (RA) can be a helpful tool to provide EOD experts with decision-making support. This paper hypothesizes that existing RA approaches that address unexploded ordnance (UXO) in the sea do not meet the requirements of EOD RA. To test this hypothesis, the paper proposes a novel categorization tool. It uses five review criteria: study type (qualitative vs. quantitative), level of decision-making (strategic vs. applied), risk component (probability vs. consequence), spatial scale (global vs. local), and temporal scale (long-term vs. short-term). The categorization tool is used to identify the requirements of EOD RA and to test whether nine existing RA methods fulfill these requirements. The study finds that none of the investigated RAs meets the requirements and, hence, concludes that a new method should be developed. However, some aspects of the existing studies should be considered when designing a new method. This includes using risk factors (type and mass of explosive material, type and state of the fuze, and water depth) that are relevant for EOD RA. It also involves setting up a directed graph to assess the complex interdependencies between these risk factors.

Розвиток соціальної сфери українського села: регіональний аспект

The research paper aims to highlight the specific characteristics of social development in rural areas and identify new job opportunities for village residents. These include diversifying agricultural production and expanding into other sectors of the regional economy. The focus is on encouraging self-employment, entrepreneurship, and employment in small towns and villages for the rural population, offering a promising future for these areas. Research methodology. In this article, we utilized the abstract-logical method to identify the theoretical foundations of the social sphere development in rural areas and agrarian formations of different scales. We also employed the monographic approach to examine the perspectives of various experts on the issues relating to the development of the social sphere in rural areas and the significance of management forms, particularly family farms, in promoting employment and self-employment among rural residents. Additionally, we used analysis and synthesis to evaluate the effectiveness of management forms in rural areas. The current state of development of the national agricultural sector of Ukraine emphasizes the importance of the social sphere of rural areas and the contribution of small forms of management, which in the domestic legal field, scientific and statistical literature are defined such as individual peasant and farm households, small rural enterprises, and households. Ensuring the development of small forms of business in the system of rural formations is an essential component of the effective functioning of the domestic agrarian sector as a component of the national economic system. In turn, this determines the need to analyze the features of the use of the available resource potential, as well as the results of the economic activity of the representatives of this group of farmers. However, intensive agricultural technologies have led to unemployment in many villages, leading to the degradation of rural areas, worsening demographic situations, and reduced life expectancy. Elements of scientific novelty. The author has developed various approaches to assessing social efficiency, which include several methodological features: 1. Social efficiency should be determined at two levels: local (at a specific enterprise, as the degree of satisfaction of its employees’ social needs) and regional/national (as the degree of social protection and equal provision of social needs for different population segments by local bodies and the state as a whole). 2. It is crucial to determine the absolute scale and relative level of satisfaction of various social needs of employees at a particular enterprise, whether through its resources, the region’s population, or the state. 3. When assessing social effectiveness, various socially important measures funded by local and national budgets must also be considered. 4. The precise determination of social efficiency should involve quantitative measurement and assessment of the effect and costs of a complete set of measures, including those for which quantitative measurement of the effect is impossible. Based on the research results, it is obtained that the social sphere of the region’s villages is diverse, with small-scale farms playing a crucial role in ensuring food safety and reducing unemployment in rural areas. The research confirms that in the long term, a dual approach is necessary for addressing this issue: firstly, a consistent focus on market relations to ensure the competitiveness of products from all types of enterprises — small, medium, and large; and secondly, the improvement of quality of life and the development of social infrastructure in rural areas to sustain them as the foundation for livelihoods and employment for the rural population, engaging all stakeholders in finding solutions. Keywords: development, agriculture, demographic processes, social sphere, livelihood, territorial environment, labor, environment, social efficiency, food security, self-realization.

A Content and Readability Analysis of Genitourinary and Sexual Health-Related Patient-Reported Outcome Measures in Gender-Affirming Care

ObjectivesTo the evaluate the readability and comprehensiveness of genitourinary and sexual health-related patient-reported outcomes (PROMs) used in gender-affirming care. MethodsCommon PROMs that measure genitourinary and sexual health-related outcomes in gender-affirming care literature were identified from six recent systematic reviews. Readability analysis was completed at the level of individual items and full scale using established readability assessment tool, including Flesch Kincaid Grade Level (FKGL), Gunning Fog Score (GF), Coleman Liau Index (CLI), and Simple Measure of Gobbledygook (SMOG) Index. The concepts measured by the PROMs were evaluated for comprehensiveness. Results25 PROMs were included, of which 12 assessed genitourinary outcomes and 13 assessed sexual health outcomes. A total of seven genitourinary domains and eight sexual health domains were identified during concept mapping. Readability analysis showed a median PROM grade level of 9.0 and 9.5 in genitourinary and sexual PROMs, respectively. The Patient-Reported Outcomes Measurement Information System Sexual Function and Satisfaction v2.0 had the lowest median reading grade level of 5.7, and the Female Sexual Function Index has the highest median reading grade level of 13.9. No single PROM was found to be comprehensive. Multiple PROMs contained double-barreled items or used outdated terminology. ConclusionsMost PROMs used in the genital gender-affirming literature failed to meet the readability recommendations for patient-facing material and were culturally unfit for use in transgender and gender-diverse individuals. None of the PROMs were found to be comprehensive for evaluating outcomes of gender-affirming care. Validated gender-affirming care-specific PROMs that are comprehensible, comprehensive, and relevant are urgently needed.

Study on Multiscale Virtual Environment Construction and Spatial Navigation Based on Hierarchical Structure

Multiscale virtual environments (MSVEs) allow the integration of elements and environments at different scale levels into a unified space, which facilitates researchers’ perception, understanding, and experimental research of complex geospatial spaces. Although there have been several methods for achieving multiscale effects in virtual environments (VEs), they cannot assist users in constructing more complete spatial cognitive maps and presenting multiscale information efficiently. This study proposes a hierarchical-structure-based MSVE construction method, which can effectively integrate multiscale information and ensure that the richness of details of information is gradually enhanced with the progression of the hierarchical structure. In addition, a spatial navigation study is conducted, considering the relationship between users’ perspective changes and spatial cognition, and the effects of users’ perspective changes on their spatial cognition in an MSVE are explored. A multiscale virtual wetland environment covering four levels is constructed to conduct a case study of a virtual environment of a wetland of Poyang Lake. The research results show that the proposed method is feasible. Moreover, the spatial navigation based on the change in the hierarchical perspective is in line with the spatial cognitive habits of users, which can satisfy the cognitive needs of users from the macro-region to specific wetland landscapes.

Bi-lingual content validation of the Non-Technical Skills for Operating Room Nurses (NOTSORN) tool: A Delphi study

BackgroundThe primary responsibility of the operating room nurse is to prevent adverse events and patient harm during surgery. Since most preventable adverse events are the result of breakdowns in communication and teamwork, or non-technical skills, training such skills should strengthen the operating room nurses’ error prevention abilities. Behavioural marker systems operationalise non-technical skills; however, previous systems for operating room nurses do not cover the full extent of non-technical skills used by operating room nurses. Thus, the Non-technical Skills for Operating Room Nurses (NOTSORN) behavioural marker system was developed. ObjectiveThe objective of this study was to establish face and content validity of the Non-Technical Skills for Operating Room Nurses behavioural marker system. This multi-item scale measures individual non-technical skills in operating room nursing. ParticipantsA purposive sample of operating room nursing researchers, educators, and senior clinicians from nine countries worldwide. MethodsA two round, Delphi panel with international experts in operating room nursing. The survey was administered online. Content validity index (CVI) was used to measure agreement among panel members. Results25 operating room nurse experts participated in the online Delphi study. After round 1, 56 items were accepted, 26 items were revised, and 1 item was dropped. Following round 2, all items (6 with minor revisions) were accepted. Thus, the Non-technical Skills for Operating Room Nurses tool comprise 81 items. The scale level CVI score for the final 81 item tool was 0.99. The individual item level CVI scores ranged from 0.9 to 1.0. ConclusionsThe Non-Technical Skills of Operating Room Nurses behavioural marker system is a nuanced tool with a myriad of non-technical skills operating room nurses need to undertake their work safely. The tool's intended use includes student/trainee supervision, supervision of novice operating room nurses, self-reflection for performance reports, and in operating room nursing education. Over time, use of the tool has the potential to contribute to patient safety in the operating room. Tweetable abstractThe NOTSORN tool provides a comprehensive and holistic evaluation of OR nurses' non-technical skills for safe surgical performance

Investigating the Role of CNP and CNP Aggregates in the Rheological Breakdown of Triglyceride Systems

In many food applications, the mechanical properties of fats play a critical role in determining the processing performance of fat-rich products. In fact, fat crystal networks form a particular class of soft materials that exhibit viscoelastic properties. The uniqueness of the mechanical response is intricately linked to the hierarchical nature of the system, as fats possess a complex architecture encompassing features at different scale levels (i.e., length scales). Since the discovery of crystalline nanoplatelets (CNPs), it has been hypothesized that CNPs are the basic building blocks of lipid networks and that CNPs are the responsible units for the mechanical properties of fats. This hypothesis, however, has only been partially tested. In this article, we examine which units could be responsible (e.g., lamellae, CNP, CNP aggregates) for the mechanical breakdown of fat crystal networks, through Rheo-USAXS in beamline ID02 (ESRF, Grenoble, France). Time-resolved USAXS profiles were acquired during the three steps of a three-interval thixotropy test (3iTT), namely, pre-shear, shear and recovery. The results were then utilized to evidence which specific length scale is arranged (i.e., orientated) during rheological breakdown. The findings suggest that, at the tested shear rates, orientation is only visible from 250 nm onwards, suggesting that the rheological breakdown of triglycerides is primarily driven by the orientation, and possible disruption, of CNP aggregates. These results reveal the critical role of CNP aggregates in the mechanical properties of fats. In the longer term, we believe this study will steer future research toward a more focused understanding of CNP aggregation and disaggregation dynamics.

Does social need fulfillment moderate the association between socioeconomic status and health risk behaviours during pregnancy?

Socioeconomic differences in health risk behaviours during pregnancy may be influenced by social relations. In this study, we aimed to investigate if social need fulfillment moderates the association between socioeconomic status (SES) and health risk behaviours (smoking and/or alcohol consumption) during pregnancy. We used baseline data from the Lifelines Cohort Study merged with data from the Lifelines Reproductive Origin of Adult Health and Disease (ROAHD) cohort. Education level was used to determine SES, categorized into low, middle, and high, with middle SES as the reference category. Social need fulfillment was taken as indicator for social relations and was measured with the validated Social Production Function Instrument for the Level of Well-being scale. The dependent variable was smoking and/or alcohol consumption during pregnancy. Univariable and multivariable logistic regression analysis was conducted to assess the association of SES and social need fulfillment with health risk behaviours and to test for effect modification. We included 1107 pregnant women. The results showed that women with a high SES had statistically significantly lower odds of health risk behaviours during pregnancy. The interaction effect between SES and social need fulfillment on health risk behaviours was not statistically significant, indicating that no moderation effect is present. The results indicate that social need fulfillment does not modify the effect of SES on health risk behaviours during pregnancy. However, in literature, social relations are identified as an important influence on health risk behaviours. More research is needed to identify which measure of social relations is the most relevant regarding the association with health risk behaviours.

PDE-Constrained Scale Optimization Selection for Feature Detection in Remote Sensing Image Matching

Feature detection and matching is the key technique for remote sensing image processing and related applications. In this paper, a PDE-constrained optimization model is proposed to determine the scale levels advantageous for feature detection. A variance estimation technique is introduced to treat the observation optical images polluted by additive zero-mean Gaussian noise and determine the parameter of a nonlinear scale space governed by the partial differential equation. Additive Operator Splitting is applied to efficiently solve the PDE constraint, and an iterative algorithm is proposed to approximate the optimal subset of the original scale level set. The selected levels are distributed more uniformly in the total variation sense and helpful for generating more accurate and robust feature points. The experimental results show that the proposed method can achieve about a 30% improvement in the number of correct matches with only a small increase in time cost.

Efficacy and safety of remimazolam versus propofol for intraoperative sedation during regional anesthesia: A phase II, multicenter, randomized, active-controlled, single-blind clinical trial.

This study aimed to evaluate the efficacy and safety of remimazolam for intraoperative sedation during regional anesthesia. It was a phase II-multicenter, randomized, single-blind, parallel-group, active-controlled clinical trial (No. ChiCTR2100054956). From May 6, 2021 to July 4, 2021, patients were randomly enrolled from 17 hospitals in China. A total of 105 patients aged 18-65 years who underwent selective surgery under regional anesthesia were included. Patients received different sedatives with different dosages: 0.1 mg/kg remimazolam (HR), 0.05 mg/kg remimazolam (LR), or 1.0 mg/kg propofol (P) group, followed by a maintenance infusion. Main outcome measures included the efficacy of sedation measured by Modified Observer's Assessment of Alertness/Sedation Scale (MOAA/S) levels (1-4, 1-3, 2-3, 3, and 2-4) during the sedation procedure (the duration percentage) and incidence of adverse reactions. It showed that the duration percentage of MOAA/S levels 1-4 was 100.0 [8.1]% (median [interquartile range]), 89.9 [20.2]%, 100.0 [7.7]% in the HR, LR, and P groups, respectively. The percentage of patients in the HR, LR, and P groups who achieved MOAA/S levels 1-4 within 3 min after administration was 85.7%, 58.8%, and 82.9%, respectively. However, the time to recovery from anesthesia after withdrawal of sedatives (7.9 ± 5.7 min), incidence of anterograde amnesia (75%), and adverse effects were not statistically significant among the three groups. These findings suggest that a loading dose of remimazolam 0.1 mg/kg followed by a maintenance infusion of 0-3 mg/kg/h provides adequate sedation for patients under regional anesthesia without increasing adverse reactions.

Damage mechanisms analyses in DP steels using SEM images, FEM, and nonlocal peridynamics methods

An investigation is performed to study the damage mechanisms of dual phase steels using experimental analysis, local finite element simulation, and nonlocal peridynamics (PDs) method. The uniaxial tensile tests and preparation of metallography and SEM images have been used to peruse the pattern of deformation and voids in different phases. Understanding of the relationship between real microstructure and damage mechanisms can often not be obtained from microstructural investigation using experiments only. Here, a novel numerical approach is presented to investigate damage mechanisms in multiphase materials at micro scale level using both local and nonlocal numerical analyses and microstructural images from a scanning electron microscope (SEM). The nonlocal PDs method is capable to overcome many challenges associated with convergence problems in other numerical methods and to detail-oriented study of damage initiation and propagation autonomously. In this study, images of real microstructure are used as RVEs and imported to the FEM software and PD-developed code. Moreover, the effects of different constitutive models for the interface of ferrite and martensite phases on the bond breakage and damage patterns have been also investigated.

Leveraging Large Language Models in the delivery of post-operative dental care: a comparison between an embedded GPT model and ChatGPT

ObjectiveThis study underscores the transformative role of Artificial Intelligence (AI) in healthcare, particularly the promising applications of Large Language Models (LLMs) in the delivery of post-operative dental care. The aim is to evaluate the performance of an embedded GPT model and its comparison with ChatGPT-3.5 turbo. The assessment focuses on aspects like response accuracy, clarity, relevance, and up-to-date knowledge in addressing patient concerns and facilitating informed decision-making.Material and methodsAn embedded GPT model, employing GPT-3.5-16k, was crafted via GPT-trainer to answer postoperative questions in four dental specialties including Operative Dentistry & Endodontics, Periodontics, Oral & Maxillofacial Surgery, and Prosthodontics. The generated responses were validated by thirty-six dental experts, nine from each specialty, employing a Likert scale, providing comprehensive insights into the embedded GPT model’s performance and its comparison with GPT3.5 turbo. For content validation, a quantitative Content Validity Index (CVI) was used. The CVI was calculated both at the item level (I-CVI) and scale level (S-CVI/Ave). To adjust I-CVI for chance agreement, a modified kappa statistic (K*) was computed.ResultsThe overall content validity of responses generated via embedded GPT model and ChatGPT was 65.62% and 61.87% respectively. Moreover, the embedded GPT model revealed a superior performance surpassing ChatGPT with an accuracy of 62.5% and clarity of 72.5%. In contrast, the responses generated via ChatGPT achieved slightly lower scores, with an accuracy of 52.5% and clarity of 67.5%. However, both models performed equally well in terms of relevance and up-to-date knowledge.ConclusionIn conclusion, embedded GPT model showed better results as compared to ChatGPT in providing post-operative dental care emphasizing the benefits of embedding and prompt engineering, paving the way for future advancements in healthcare applications.

Retinal image quality assessment in diabetic-retinopathy screening: Real world evidence from a lower-middle income country

Objectives: Sight loss due to diabetic retinopathy (DR) is preventable by early detection and treatment. Digital retinal imaging is the most widely practiced method of screening of DR. Poor quality of images is a major hinder to implement systematic DR screening using digital retinal imaging in low- and middle-income countries with a high prevalence of lens opacities. We aimed to identify the proportion of ungradable images using hand-held retinal imaging and predictors of image gradability in a DR screening feasibility study conducted in Sri Lanka. Material and Methods: The present study is a retrospective data analysis of a validation study conducted to assess the diagnostic test accuracy of a held-held digital retinal imaging model integrated into a tertiary level medical clinic. Two selected physician graders underwent formal training to assess retinal image quality using a “four-quadrant method of assessing gradability.” The procedure was a subjective image quality assessment performed by the physician graders manually, that is, images with more than 50% of the field with poor clarity and not suitable for retinopathy grading were classified as ungradable. Two-field (Field-1: macula centered, Field-2: disc centered) non-mydriatic and mydriatic retinal images were captured (Type of camera: Zeiss-Visuscout 100®, Germany) in a consecutive sample of people with diabetes attended for routine medical care and assessed for quality and graded by two independent physician graders on-site. The reference test was a mydriatic biomicroscopic examination conducted at a separate eye clinic by an experienced specialist retinologist. Mixed model regression analysis was conducted to assess the predictors of gradability. Results: A total of 700 individuals (5508 gradability data points) were included in the study. The proportion of ungradable images in non-mydriatic imaging was 30% for Grader 1 and 24% for Grader 2 and went down to 7% and 5%, respectively, for Grader 1 and 2 after dilating the pupils using mydriatic agents. Non-mydriatic images had almost 20 times higher odds (odds ratio [OR] 19.7, 95% confidence interval [CI] 15.1–25.8) of being rated as ungradable compared to mydriatic images. With the increase of each year in age, the odds of having ungradable digital retinal images in a patient increased by 7% (OR 1.07, 95% CI 1.05–1.09). For visual acuity increase in each level of the Log-MAR scale, the odds of having ungradable images increased by 40% (OR 1.40, 95% CI 1.30–1.51). In lens opacity, 54% higher odds of ungradability were observed when present nuclear opalescence (OR 1.54, 95% CI 1.39–1.70) and posterior subcapsular opacity (OR 1.54, 95% CI 1.24–1.92). Conclusion: Non-mydriatic methods may not be suitable as a primary DR screening strategy in countries with a high prevalence of cataracts. Increasing age, poor visual acuity, and the presence of lens opacity are factors that would affect image quality. The capacity to deliver services for managing cataracts may be an important determinant in achieving effective coverage of digital surveillance of DR in low- and middle-income countries.

Effect of cement volume on biomechanical response of a spine segment treated with a PEEK polymer implant: a finite element comparative study with vertebroplasty.

In the current study, a 3D finite element study was performed to investigate the biomechanical response of an osteoporotic spine segment treated with a novel transpedicular implant (V-STRUT©, Hyprevention, France) made of PEEK (polyetheretherketone) material combined with either injections of 2, 3, 4, 5 and 6 cc of cement. The objective was to assess numerically the biomechanical performance of the implant in combination with different doses of the injected bone cement and to compare its performance with the gold standard vertebroplasty (VP) technique. A female (69yo) was selected and a 3D finite element model of an osteoporotic spine segment was built based on a Computed Tomography (CT) scan performed from T12 to L2 with corresponding intervertebral discs and ligaments. A heterogeneous distribution of bone material properties was assigned to the bone using grey scale levels. Bilateral ellipsoid geometries of the inserted cement were retained for the V-STRUT and VP models based on experimental observation performed on different patients treated with the V-STRUT device. The current study demonstrated an optimal dose of 4 cc of bilaterally injected cement for the V-STRUT and VP techniques to restore the treated segment and confirmed that the V-STRUT device in combination with bone cement is superior to VP alone in establishing the normal stiffness and in reducing the applied stress to the immediately adjacent vertebral levels.

A Chinese version of the Stroke Illness Perception Questionnaire-Revised: Reliability and validity assessment in stroke patients.

Illness perceptions are an important factor affecting the prognosis of stroke patients. Evaluating the illness perceptions of stroke patients is of great importance for predicting their health behaviour and rehabilitation outcomes. However, there is no specific tool for assessing illness perceptions in stroke patients in China. The objective of this study is to translate the Stroke Illness Perception Questionnaire-Revised (SIPQ-R) into Chinese and to psychometrically test the Chinese version of the scale in the population of Chinese stroke patients. This was a methodological study. We investigated 593 stroke patients in the neurology department of a hospital in China from March to September 2021. We translated the SIPQ-R and adapted it to the cultural context, after which we evaluated the reliability and validity of the Chinese version of SIPQ-R. Exploratory factor analysis identified eight common factors that accounted for 71.74% of the total variance, and the factor loadings ranged from 0.530 to 0.933. Confirmatory factor analysis confirmed the eight-factor structure (χ2/df =1.765, root mean square error of approximation =0.053, incremental fit index =0.906, comparative fit index =0.905 and Tucker-Lewis index =0.900). Internal consistency was confirmed by a Cronbach's alpha coefficient of 0.982. The test-retest reliability was 0.762. The results showed good content validity (the scale level content validity index was 0.940, and the item level content validity index values ranged from 0.860 to 0.960). There were no missing responses and floor or ceiling effects. The standard error of measurement and the smallest detectable change for the SIPQ-R were 45.49 and 126.10, respectively. The results of this study provide empirical evidence for the reliability and validity of the Chinese version of the SIPQ-R for stroke patients.

Effective management of Meniere’s disease through Ayurveda- A case report

Meneirs disease is inner ear disease characterized by episodic vertigo, fluctuating hearing loss and tinnitus. The pathophysiology of the disease is obscure but theories postulated and stated that, due to decreased absorption or increased secretion of endolymphatic fluid in membranous labyrinth of the inner ear leads to pressure increase thus manifests the disease. There is no promising cure to this disease in conventional science only with life style adjustments, low salt diet, diuretics and surgery are used to manage the condition. The present case study patient with meniers disease was successfully managed with ayurveda treatment. A 55yrs old male patient complained of giddiness, reduced hearing and tinnitus since 9months which was hampering his daily activities was treated with panchakarma procedures and internal medicines. The exact meniers disease is not mentioned in samhitas but on the basis of symptoms and dosha predominance it is considered as vata-pitta pradhana tridoshaja vyadhi. As per dosha predominance it is treated with virechana (Purgation), Pratimarsha nasya (nasal medication) and internal medicines with Dhanadhanyadi kashaya, Cap ksheerabala and cap palsineuron, Tab Kamaduga rasa was administered. On functional scale level the stage 5 was reduced to 1 which shows good improvement. Meniers disease may satisfactory be managed with Ayurveda treatment.

Examining the construct validity of the MIDUS version of the Multidimensional Personality Questionnaire (MPQ)

The Multidimensional Personality Questionnaire (MPQ) measures a wide range of personality traits associated with affect and temperament. However, the lengthy administration time may have hindered its widespread use in personality research. The National Survey of Midlife Development in the United States (MIDUS) has adapted a short version of the MPQ that consists of only 35 items. However, the psychometric properties of this abbreviated version have not been thoroughly examined beyond what is presented in the survey’s documentation. This study aimed to investigate the construct validity of the MPQ-35 at both the item and scale levels using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and exploratory structural equation modeling (ESEM), measurement invariance by gender and age, and external correlates with several personality and psychological constructs. The results show that the MPQ-35 exhibits promising properties, performing well and accurately recapturing the original MPQ structure, with ten lower-order traits and three higher-order broad factors.

Integrated transmission expansion planning incorporating fault current limiting devices and thyristor-controlled series compensation using meta-heuristic optimization techniques

Transmission expansion planning (TEP) is a vital process of ensuring power systems' reliable and efficient operation. The optimization of TEP is a complex challenge, necessitating the application of mathematical programming techniques and meta-heuristics. However, selecting the right optimization algorithm is crucial, as each algorithm has its strengths and limitations. Therefore, testing new optimization algorithms is essential to enhance the toolbox of methods. This paper presents a comprehensive study on the application of ten recent meta-heuristic algorithms for solving the TEP problem across three distinct power networks varying in scale. The ten meta-heuristic algorithms considered in this study include Sinh Cosh Optimizer, Walrus Optimizer, Snow Geese Algorithm, Triangulation Topology Aggregation Optimizer, Electric Eel Foraging Optimization, Kepler Optimization Algorithm (KOA), Dung Beetle Optimizer, Sea-Horse Optimizer, Special Relativity Search, and White Shark Optimizer (WSO). Three TEP models incorporating fault current limiters and thyristor-controlled series compensation devices are utilized to evaluate the performance of the meta-heuristic algorithms, each representing a different scale and complexity level. Factors such as convergence speed, solution quality, and scalability are considered in evaluating the algorithms’ performance. The results demonstrated that KOA achieved the best performance across all tested systems in terms of solution quality. KOA’s average value was 6.8% lower than the second-best algorithm in some case studies. Additionally, the results indicated that WSO required approximately 2–3 times less time than the other algorithms. However, despite WSO’s rapid convergence, its average solution value was comparatively higher than that of some other algorithms. In TEP, prioritizing solution quality is paramount over algorithm speed.

Development and Validation of the Five-Factor Borderline Inventory-Super Short Form and Screener.

The Five-Factor Borderline Inventory (FFBI) and FFBI-Short Form (FFBI-SF) are 120-item and 48-item measures that assess the underlying maladaptive personality traits of borderline personality disorder (BPD). The purpose of this study was to develop a super short form (FFBI-SSF) and an FFBI-Screener to facilitate the use of dimensional trait measures for BPD. Using item response theory analyses, the 48-item measure was reduced to 22 items using a large undergraduate sample (N = 1300) and then retested using a Mechanical Turk sample (N = 602), demonstrating strong replicability. IRT was again used to further reduce the measure from 22 items to four items to provide a brief screening tool. Correlations of the FFBI-SSF and Screener with measures of BPD-related variables were compared across five samples (N = 919, 204, 580, 281, and 488). Overall, the FFBI-SSF showed similar relations to the FFBI-SF at the full scale and domain-level scales, while the FFBI-screener demonstrated similar relations at the full scale level. This super short form and screener may best be used in large-scale research studies or as part of a screening tool in clinical settings.