Assessment Methods Research Articles

Screening and validating the optimal panel of housekeeping genes for 4T1 breast carcinoma and metastasis studies in mice

The 4T1 model is extensively employed in murine studies to elucidate the mechanisms underlying the carcinogenesis of triple-negative breast cancer. Molecular biology serves as a cornerstone in these investigations. However, accurate gene expression analyses necessitate data normalization employing housekeeping genes (HKGs) to avert spurious results. Here, we initially delve into the characteristics of the tumor evolution induced by 4T1 in mice, underscoring the imperative for additional tools for tumor monitoring and assessment methods for tracking the animals, thereby facilitating prospective studies employing this methodology. Subsequently, leveraging various software platforms, we assessed ten distinct HKGs (GAPDH, 18 S, ACTB, HPRT1, B2M, GUSB, PGK1, CCSER2, SYMPK, ANKRD17) not hitherto evaluated in the 4T1 breast cancer model, across tumors and diverse tissues afflicted by metastasis. Our principal findings underscore GAPDH as the optimal HKG for gene expression analyses in tumors, while HPRT1 emerged as the most stable in the liver and CCSER2 in the lung. These genes demonstrated consistent expression and minimal variation among experimental groups. Furthermore, employing these HKGs for normalization, we assessed TNF-α and VEGF expression in tissues and discerned significant disparities among groups. We posit that this constitutes the inaugural delineation of an ideal HKG for experiments utilizing the 4T1 model, particularly in vivo settings.

Shared decision-making in long-term care: A systematic review of assessment instruments

This systematic review explored the instruments used to measure Shared Decision Making (SDM) within long-term care (LTC) settings. Relevant publications from the period between January 2000 and October 2022 were searched across five databases. Thirty-six SDM assessment instruments were identified, which encompassed those measuring SDM for LTC recipients/family caregivers and/or healthcare providers. These instruments were either specifically tailored for LTC settings or more broadly applicable across healthcare contexts, including LTC. In terms of psychometric properties of the instruments, internal consistency reliability, content validity, structural validity, and hypothesis testing were commonly tested. The findings of this research can aid health researchers, managers, and scholars in choosing suitable instruments for assessing SDM in specific LTC scenarios, considering factors such as measurement scope, assessment methods, and instrument reliability. Additionally, these findings offer valuable insights for the future development of high-quality SDM assessment instruments in LTC field.

Unleashing the secrets of academic writing: exploring Indonesian language courses in higher education

Academic writing has been a widely substantial course in higher education as it plays a vital role in cultivating students’ academic writing skills. Drawing on qualitative descriptive study, this study aims to explore the fundamental requirements for academic writing to base the creation of an effective learning framework. Data consisted of teaching materials, semester learning plan (SLP), assessment tools, and guidelines for academic writing from three universities in Surakarta, Central Java, Indonesia. Findings reveal that learning materials and the SLP have both strengths and weaknesses. Despite these, there is diversity in learning and assessment methods. Adopted teaching methods encompass project-based learning, problemsolving, and lectures, while learning assessment includes portfolio techniques, project assessment, and written exams. These findings provide insight into the imperative of academic writing in the academic setting. This serves as a basis for the development of more effective learning methods. Thus, the proposed model for academic writing adopts a project-based approach to improve students’ writing by integrating indigenous wisdom to promote students' character development.

Standardized Ultrasound Evaluation for Active Surveillance of Low-Risk Thyroid Microcarcinoma in Adults: 2024 Korean Society of Thyroid Radiology Consensus Statement.

Active surveillance (AS) has been widely adopted as an alternative to immediate surgery owing to the indolent nature and favorable outcomes of papillary thyroid microcarcinoma (PTMC). AS is generally recommended for tumors measuring ≤1 cm without aggressive cytological subtypes, risk of gross extrathyroidal extension (ETE), lymph node metastasis (LNM), or distant metastasis. AS requires careful patient selection based on various patient and tumor characteristics, and ultrasound (US) findings. Moreover, during AS, regular US is performed to monitor any signs of tumor progression, including tumor growth, new US features of potential gross ETE, and LNM. Therefore, appropriate imaging-based assessment plays a crucial role in determining whether AS or surgery should be pursued. However, detailed recommendations concerning US evaluation are currently insufficient, necessitating the formulation of this guideline. The Korean Society of Thyroid Radiology has developed a consensus statement for low-risk PTMC, covering US assessment methods when considering AS as a management option and conducting follow-up imaging tests during AS. This guideline aims to provide optimal scientific evidence and expert opinion consensus regarding a standardized US-based assessment protocol for low-risk PTMC.

Actual clinical practice pattern in SWL after COVID-19 era: a critical evaluation from different aspects.

To outline the current status of Shock Wave Lithotripsy (SWL) in stone treatment and the changes in the mode of application after the COVID-19 pandemic along with critical factors affecting the clinical practice of this particular procedure. This study targeted national and international urology experts who could share and contribute their experiences and perspectives on SWL practices after COVID-19 era. Approximately 650 urology specialists were invited to participate in the survey based study via Google Forms. Participation was voluntary and 398 of the invited participants completed the survey, yielding an acceptable response rate of approximately 61.23%. This survey highlights significant findings that shed light on the changes in clinical SWL applications. Nearly half of SWL procedures are performed by technicians or nurses instead of experienced urologists, potentially affecting the proper application and outcomes of the procedure. SWL seemed to be applied on a guideline (GL) indications based manner by the majority of the participants. Fluoroscopy remains still as the most commonly used method for radiological assessment, underscoring the necessity to teach sonography applications to younger urologists. Key reasons for the limited clinical application of SWL include the absence of lithotripters in the departments, high lithotriptor costs and significantly lower reimbursement rates compared to PNL and fURS modalities. Finally, an increase in SWL utilization rates has been observed post-COVID-19, highlighting its certain advantages realized during this period. These findings provide important insights into the role of SWL in stone treatment and the main factors influencing its clinical application practices. Although the popularity of SWL in the management of urinary stones is being stated to decline particularly in the last two decades, data obtained in this survey emphasized well that it is still a viable option especially for stones smaller than 15mm. Our findings highlight the enduring relevance of SWL in contemporary stone therapy protocols in the context of COVID-19, where outpatient, non-invasive procedures are preferred. In addition to the consideration of certain factors affecting the rate of its application in clinical practice, to achieve high success rates with minimal complications in SWL, strategic patient selection and adherence to procedure guidelines seem to be crucial.

Review on the Artificial Intelligence-based methods in Landslide Detection and Susceptibility Assessment: Current Progress and Future Directions

Review on the Artificial Intelligence-based methods in Landslide Detection and Susceptibility Assessment: Current Progress and Future Directions

Review article: Measuring disease severity in inflammatory bowel disease - Beyond treat to target.

Inflammatory bowel disease (IBD) follows a heterogenous disease course and predicting a patient's prognosis is challenging. There is a wide burden of illness in IBD and existing tools measure disease activity at a snapshot in time. Comprehensive assessment of IBD severity should incorporate disease activity, prognosis, and the impacts of disease on a patient. This review investigates the concept of disease severity in adults with IBD to highlight key components contributing to this. To perform this narrative review, a Medline search was conducted for full-text articles available at 1st March 2024 using search terms which encompassed disease activity assessment, disease severity, prognosis, natural history of Crohn's disease (CD) and ulcerative colitis (UC), and the burden of IBD. Current methods of disease assessment in IBD have evolved from a focus on the burden of symptoms to one that includes inflammatory targets, genetic, serological, and proteomic profiles, and assessments of quality-of-life (QoL), disability, and psychosocial health. Longitudinal studies of IBD suggest that the burden of illness is driven by disease phenotype, clinical markers of complicated disease course (previous intestinal resection, corticosteroid use, perianal disease in CD, recent hospitalisations in UC), gut inflammation, and the impact of IBD on the patient. Disease severity in IBD can be difficult to conceptualise due to the multitude of factors that contribute to IBD outcomes. Measurement of IBD severity may better encapsulate the full burden of illness rather than gut inflammation alone at a single timepoint and may be associated with longitudinal outcomes.

Quantitative biomechanical analysis in validating a video-based model to remotely assess physical frailty: a potential solution to telehealth and globalized remote-patient monitoring.

Assessing physical frailty (PF) is vital for early risk detection, tailored interventions, preventive care, and efficient healthcare planning. However, traditional PF assessments are often impractical, requiring clinic visits and significant resources. We introduce a video-based frailty meter (vFM) that utilizes machine learning (ML) to assess PF indicators from a 20s exercise, facilitating remote and efficient healthcare planning. This study validates the vFM against a sensor-based frailty meter (sFM) through elbow flexion and extension exercises recorded via webcam and video conferencing app. We developed the vFM using Google's MediaPipe ML model to track elbow motion during a 20s elbow flexion and extension exercise, recorded via a standard webcam. To validate vFM, 65 participants aged 20-85 performed the exercise under single-task and dual-task conditions, the latter including counting backward from a random two-digit number. We analyzed elbow angular velocity to extract frailty indicators-slowness, weakness, rigidity, exhaustion, and unsteadiness-and compared these with sFM results using intraclass correlation coefficient analysis and Bland-Altman plots. The vFM results demonstrated high precision (0.00-7.14%) and low bias (0.00-0.09%), showing excellent agreement with sFM outcomes (ICC(2,1): 0.973-0.999), unaffected by clothing color or environmental factors. The vFM offers a quick, accurate method for remote PF assessment, surpassing previous video-based frailty assessments in accuracy and environmental robustness, particularly in estimating elbow motion as a surrogate for the 'rigidity' phenotype. This innovation simplifies PF assessments for telehealth applications, promising advancements in preventive care and healthcare planning without the need for sensors or specialized infrastructure.

Serum Albumin Level at Intensive Care Unit Admission and Delirium Duration and Severity in Critically Ill Adults.

Hypoalbuminemia has been associated with an increased risk of in-hospital delirium. However, the relationship between serum albumin levels and the duration and severity of delirium is not well defined. To investigate the relationship between albumin levels and delirium duration and severity. Study data were from a randomized controlled trial involving adult intensive care unit patients (≥ 18 years old) admitted to 3 academic hospitals from 2009 to 2015 who had positive delirium screening results on the Confusion Assessment Method for the Intensive Care Unit-7. Delirium severity was defined by mean Confusion Assessment Method for the Intensive Care Unit-7 scores by day 8. Delirum duration was defined by the number of delirium-free and coma-free days by day 8. Serum albumin levels within 72 hours of intensive care unit admission were collected from electronic medical records. The study included 237 patients (mean age, 60.3 years; female sex, 52.7%; receiving mechanical ventilation, 59.5%; acute respiratory failure or sepsis, 57.8%). Serum albumin levels were categorized as 3 g/dL or greater (n = 13), 2.5 to 2.99 g/dL (n = 142), and less than 2.5 g/dL (n = 82). After adjustment for demographic and clinical characteristics, no significant associations between albumin levels and delirium duration or severity were found. However, patients with normal albumin levels (≥3 g/dL) had shorter stays than did patients with hypoalbuminemia. In patients with delirium, higher albumin levels were associated with shorter hospital stays but not with delirium duration or severity.

Quality assessment method proposal for compacted bentonite clay buffer block using combined non-destructive tests

Quality assessment method proposal for compacted bentonite clay buffer block using combined non-destructive tests

Infrared temperature distribution characteristics and state assessment method of sandstone under tension and compression stress

Abnormalities in infrared radiation temperature (IRT) often accompany the loading In this investigation, stress experiments and splitting tests were conducted on sandstone to investigate the IRT characteristics of sandstone under various loading conditions. The results shows that the Maximum Infrared Radiation Temperature (MAXIRT) increases by up to 5 °C, while in splitting tests, the minimum infrared radiation temperature (MINIRT) decreases by approximately 1.5 °C. Compared to the average infrared radiation temperature (AIRT), MAXIRT is more sensitive to compressive stress, whereas (MINIRT) is more responsive to tensile stress. The correlation between IRT indicators and stress were further analyzed. The findings reveal a positive correlation between IRT and compressive stress. At low stress levels, the correlation coefficient fluctuates between −0.4 and 0.6, generally showing low correlation. As stress increases, the correlation coefficient rises, reaching above 0.8, indicating a high correlation. Tensile stress exhibits a negative correlation, with a consistent trend. Additionally, a statistical analysis of the frequency distribution of IRT under different stress conditions was conducted, followed by hypothesis testing. The results demonstrate that the probability distribution of IRT during loading follows a skewed normal distribution. The changes in skewness can be divided into three stages: initial fluctuation, stable variation, and abrupt failure. Under compressive stress, a right-skewed distribution is observed, with skewness exceeding 3.5 before fracture and reaching above 10 near fracture. Under tensile stress, a left-skewed distribution is noted, with skewness reaching −4.5 near fracture. These findings contribute to the assessment of rock stress states and provide early warning information for predicting rock failure.

Integrating Contrast-enhanced US to O-RADS US for Classification of Adnexal Lesions with Solid Components: Time-intensity Curve Analysis versus Visual Assessment.

Purpose To compare the diagnostic performance of time-intensity curve (TIC) analysis and subjective visual assessment of contrast-enhanced US (CEUS) when integrated with the Ovarian-Adnexal Reporting and Data System (O-RADS) US risk stratification system for characterizing adnexal lesions with solid components. Materials and Methods In this prospective multicenter study conducted from September 2021 to December 2022, female individuals with suspected adnexal lesions containing solid components detected at routine US were enrolled. All participants underwent preoperative CEUS examinations. Histopathologic findings were used as the reference standard for diagnosis. Lesions were classified according to the O-RADS US system. Enhancement of solid tissue compared with the outer myometrium was evaluated using both TIC analysis and subjective visual assessment. The diagnostic performance of O-RADS alone and each CEUS assessment method when integrated with the O-RADS US system was assessed and compared using receiver operating characteristic curve analysis. Results A total of 180 lesions (80 malignant and 100 benign histopathologic outcomes) in 175 participants (median age, 47 years [IQR, 33-56]) were analyzed. Incorporating CEUS (assessed through both TIC analysis and subjective visual assessment) with O-RADS US showed significantly improved diagnostic performance over O-RADS US alone, with an area under the receiver operating characteristic curve (AUC) of 0.86 (95% CI: 0.80, 0.91) compared with 0.78 (95% CI: 0.71, 0.84). No evidence of a difference was observed between the AUCs of TIC analysis and subjective visual assessment in the enhancement evaluation of solid tissue with CEUS for adnexal malignancy categorization (P = .83). Conclusion Subjective visual assessment and TIC analysis of CEUS features when integrated with the O-RADS US scoring system showed comparable diagnostic performance in assigning adnexal malignancy risk. Keywords: Adnexal Lesions, Contrast-enhanced US, O-RADS, Time-intensity Curve Analysis Supplemental material is available for this article. © RSNA, 2024.

Digital assessment of soft and hard tissue alterations after anterior maxillary tooth extraction

Objectives: This study aimed to assess dimensional alterations in soft and hard tissues 12 weeks post-extraction using novel computerized methods. Secondary objectives included exploring potential correlations between soft tissue changes and underlying bone variations, as well as investigating relationships between soft and hard tissue alterations and various contributing factors. Methods: For all patients, preoperative and postoperative CBCT scans and intra-oral scans were obtained. Soft and hard tissue dimensions before extraction and at 12 weeks post-extraction were measured using 3D-slicer software. Both DICOM and STL files were superimposed, and measurements were taken at 2mm and 4mm from the facial crestal level. Results: At twelve weeks, soft tissue thickness increased by 73.5% at 2mm and 51.2% at 4mm from the facial crestal bone. In contrast, there was a 42.5% and 33% bone resorption at 2mm and 4mm, respectively. Furthermore, the study found that smokers had a higher rate of soft tissue thickening and hard tissue resorption compared to non-smokers. The female group exhibited greater soft tissue thickening and bone resorption than the male group. Finally, the central incisor showed the highest bone loss rate, followed by the canine and the lateral incisor. Conclusions: Three months following tooth extraction, a physiological thickening of the facial soft tissue occurs concurrently with significant bone loss beneath it. Clinical Significance: This article’s novel digital assessment methods for evaluating soft and hard tissue alterations offer the potential to optimize treatment planning, enhancing patient outcomes and minimizing complications. By providing a comprehensive understanding of post-extraction tissue changes, it empowers clinicians to tailor treatments for individual patients, improving predictability and personalized care.

Implementing Integrated Holistic Education System (IHES) for Character Building at Seven Skies International School in Selangor, Malaysia

The modern educational system emphasizes not only the intellectual development of students but also the formation of moral and social character. Traditional educational systems are often perceived as inadequate in meeting the demands of globalization, technological advancement, and social change. Seven Skies International School adopts the Integrated Holistic Education System (IHES) to address these needs by incorporating intellectual, emotional, spiritual, and physical aspects into student learning. The primary challenge in implementing IHES is maintaining a balance between academic achievement and the development of students' character, as well as ensuring that educators are capable of effectively guiding emotional and spiritual growth. Common obstacles include the lack of understanding and skills among teachers in comprehensively applying IHES. This study aims to analyze the implementation of IHES at Seven Skies International School, evaluate character-building strategies, and measure their impact on students' moral and social development. The methodology employed is a qualitative approach through observation, interviews, and document analysis. The research findings indicate that IHES positively influences students' moral and social development. However, several challenges were identified in its implementation, particularly concerning teacher training and the methods used for character evaluation, which require improvement. The study's recommendations include enhancing training programs for educators and developing more comprehensive methods for character assessment.

Evaluation of ultrasonic non-destructive inspection methods for structural integrity assessment of freight train axles

Evaluation of ultrasonic non-destructive inspection methods for structural integrity assessment of freight train axles

Professional and personal development of newly-qualified teachers as a factor in sustainable development of the region

Introduction. The article is devoted to the problem of newly-qualified teachers’ professional development. The aim of the study is to identify the difficulties of novice teachers during their adaptation in educational settings of the region and to substantiate the ways to improve the quality of initial teacher education in the system of continuous teacher education. Materials and Methods. The methodological basis of the study consists of contextual biographical and cluster approaches. The contextual biographical approach involves studying teachers’ professional biographies in the system of continuing education, taking into account complex external conditions. The cluster approach defines the principles of interaction between various stakeholders within the regional community in order to ensure the sustainable development of the regional educational system. In order to achieve the research goal, the following methods were used: theoretical (analysis of scholarly literature, comparison, generalization) and empirical (online questionnaire, focus group method, method of independent expert assessments). Results. Based on the analysis of scholarly literature, the authors provide their definition of professional and personal teachers’ development as a basic component of their professional development during the period of initial teacher education and at the initial stage of professional development. The authors argued that the main difficulty of novice teachers during the adaptation period is their interaction with various subjects of the educational process at school - students and their parents. The article substantiates the necessity of creating a regional educational cluster as an effective mechanism for improving the quality of initial teacher education at different stages of continuous teacher education. Conclusions. Based on the authors’ idea about professional and personal development of teachers as a basic component of their professional development in the initial period of their working life, the study reveals the main difficulties of novice teachers during their adaptation in educational settings of the region, overcoming of which requires changes in the system of psychological, teacher and methods education at universities and colleges. As an effective mechanism for improving the quality of teacher education, the authors substantiated the idea of creating a pedagogical scientific and educational cluster in the region, which unites the participants of the territorial educational community interested in providing the regional education system with highly qualified teaching staff.

Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining

Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining

Peculiarities of developing the cognitive-prognostic component of future teachers’ soft skills

Introduction. In the modern vocational education system, there is a significant shortage of highly qualified and competent teachers who are able to teach students effectively and prepare them for real professional challenges. Convergence in education and industries places new demands on vocational teacher education, who must have developed soft skills necessary for professional development. A new methodology and procedures for their formation at university is needed, which is an important research problem in the field of quality training of mid-level specialists for the modern labor market and ensuring the competitiveness of graduates. The purpose of the study is to identify the characteristic features of developing cognitive-prognostic component of future teachers’ soft skills. Materials and Methods. The study follows the creative-prognostic and personal-narrative approaches. Through theoretical methods, the essence, structure, and content of soft skills for vocational teachers were identified and described: the method of conceptual, terminological and comparative analysis, content analysis, discursive reflection, system analysis, and modeling. In order to test the effectiveness of cognitive-prognostic component of soft skills development, a number of empirical methods were used, in particular: observation, questioning, testing, expert assessment and statistical methods for processing the data. Results. The article discusses theoretical and technological aspects of soft skills development that ensure training of competitive mid-level professional for the labor market. In order to build the structure of future vocational teachers’ professionalism, the authors identified its functional components. Attention is focused on the new methodology and procedure of their formation at university, providing a predictive vision and a creative approach, i.e. combining the ideas of creativity and flexible forecasting in the uncertain world. The research significance is presented by the data obtained during analytical work, which made it possible to identify a number of essential structural components of future teachers’ professionalism. The analysis of modern research trends highlights the cognitive-prognostic component of soft skills as a significant one for further training of competitive mid-level professionals for the labor market, corresponding to current challenges, the development of technologies using digital resources and artificial intelligence. Conclusions. It has been found that the formation of future vocational teachers’ soft skills based on the use of innovative forms, methods and means of forecasting and creative management will improve the efficiency of the educational process at university and ensure further professional development. In order to ensure efficient preparation of future vocational teachers, it is necessary to develop teaching procedures for implementing the cognitive-prognostic component of soft skills, including lean thinking and project and process management. In conclusion, the authors emphasize the significant role of the cognitive-prognostic component of preparing competitive vocational teachers able to cope with modern challenges in the labor market.

Risk Evaluation of Musculoskeletal Disorders (MSDs) at the Outpatient Registration Centre: A Review of Work Postures with the Rapid Office Strain Assessment (ROSA) Method

Risk Evaluation of Musculoskeletal Disorders (MSDs) at the Outpatient Registration Centre: A Review of Work Postures with the Rapid Office Strain Assessment (ROSA) Method

Delirium management and current practice among Intensive Care Units Doctors, Khartoum

Delirium is a brain dysfunction characterized by attention and cognitive disturbances in a fluctuating manner. The international guidelines recommend daily screening for delirium. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) and Intensive Care Delirium Screening Checklist (ICDSC) are the most commonly used methods for assessing delirium. This study aimed to identify barriers and gaps in knowledge and practice. This was a hospital-based Cross-Sectional study. Stratified random sampling was used in this study. 72 ICU doctors were randomly selected. Statistical analyses were performed using IBM SPSS version 23. Descriptive data were presented, and the chi-squared test was used to determine the associations among variables. Statistical significance was set at p < 0.05. More than 70% of the doctors were ≤ 30 years of age and female. A total of 69.4% of the participants had < 1year of experience. In total, 94.4% of the participants worked in medical ICUs. Less than 20% of the doctors used delirium assessment tools, with a statistically significant difference based on experience (p=0.012). Delirium was not regularly assessed in 13.9% of the patients. Non-pharmacological management was applied by 76.4% of doctors, and communication with patients was the most frequent (75%). Haloperidol was the most commonly used drug (83.3%). A total of 40.3% of doctors did not stop delirium medication on ICU discharge. A regular delirium assessment was performed. However, the use of validated assessment tools is uncommon. Nonpharmacological management of delirium is important and is mostly performed. Our doctors prescribed antipsychotics for the treatment of both forms of delirium, and almost half of them did not stop the medications on ICU discharge. Medication reconciliation and contact with the next in-charge of the patients are important.