assessment

Chronic infection with the hepatitis C virus (HCV) is estimated to affect 58 million people worldwide and around 700,000 individuals in Brazil. Various non-invasive markers of hepatic fibrosis have been proposed, such as transient hepatic elastography (THE) using FibroScan®. However, the reliability of the performance, by operators in the training phase is undetermined, which hinders its applicability in clinical practice. Objectives: The present study aimed to evaluate the impact of training an inexperienced operator to perform the examinations using FibroScan® in patients with chronic hepatitis C. Specifically, the frequency of unreliable results throughout the training was assessed. Methods: This is a cross-sectional study with retrospective data collection including compensated chronic hepatitis C patients who underwent the examinations using FibroScan® between March 2014 and December 2016, performed by two researchers. Included patients were divided into two groups based on the operator's experience in the examination: the Experienced Examiner (EE) group and the Examiner in Training (ET) group, with the latter divided into two phases: phase 1, consisting of the first 100 examinations, and phase 2, comprising subsequent examinations. For the reliability analysis, parameters such as success rate (SR), interquartile range (IQR) to median (Md) ratio (IQR/Md), and reliability criteria of Castéra, et al. and Boursier, et al. were used. Results: Between March 2014 and December 2016, 771 adult HCV-infected individuals were evaluated and divided into EE group (n = 161), ET phase 1 (n = 100), and ET phase 2 (n = 158), showing similar demographic, clinical, and laboratory characteristics. SR and IQR/Md ratios were similar among EE, ET phase 1, and ET phase 2 groups. The proportion of reliable results was comparable in all three groups, using Castéra, et al. reliability criteria (92.5%, 92.0%, and 97.5%, respectively) and Boursier, et al. criteria (96.9%, 95.0%, and 98.1%, respectively). Conclusion: A short training period (up to 100 examinations) seems to be sufficient for them to have good clinical applicability in the hands of an operator with initial experience in the method

Dentistry is a challenging and demanding physical profession, and this impacts not only the quality of the task outcomes but also the professional’s quality of life. The nature of dentistry demands prolonged static and awkward seated postures, frequent motions, positioning struggles, and working distances to the oral cavity for strategic procedure management, which become cumulative challenges over the working days, prone to discomfort, pain, or injuries, and musculoskeletal disorders for the operator.The limitations of the naked eye in dentistry, particularly in terms of visual information and resolution, underscore the need for visual aids. These aids are crucial for achieving the precision required for accurate procedures. Also, visual aids, such as magnifying loupes and the operative microscope, have been in the market for a while, and their proper use has shown ergonomic benefits that promote a neutral working posture and changes in work practice-oriented to control unbalanced awkward posture and motions.In this study, the Rapid Upper Limb Assessment RULA compares the posture between naked-eye dentistry, conventional loupes, and operative microscope, and with the observational assessment, determine the risk of developing musculoskeletal disorders and the need for priority of change. The Rodgers muscle fatigue analysis RMFA is used to predict fatigue in the muscular regions of the body during specific dental tasks.

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing crop yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate the potential for increasing accuracy and automating disease identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient and accurate disease identification, especially in regions with limited access to advanced diagnostic technologies. The main goal is to develop a productive system that can recognize tomato plant diseases. The model was trained on a collection of images of healthy and damaged tomato leaves from PlantVillage using transfer learning techniques. The images from the dataset were cleansed by resizing them from 256 × 256 to 224 × 224 to match the dimensions used in pre-trained models using min-max normalization. An evaluation of VGG16, VGG19, and DenseNet121 models based on performance accuracy and loss value for 7 categories of tomatoes guided the selection of the most effective model for practical application. VGG16 achieved 84.54% accuracy, VGG19 achieved 84.62%, and DenseNet121 achieved 98.28%, making DenseNet121 the chosen model due to its highest performance accuracy. The web application development based on the DenseNet121 architecture was integrated using the Django web framework, which is built on Python. This enables real-time disease diagnosis for uploaded images of tomato leaves. The proposed system allows early detection and diagnosis of tomato plant diseases, helping to mitigate crop losses. This supports sustainable farming practices and increases agricultural productivity.

Chronic obstructive pulmonary disease (COPD) is associated with numerous comorbidities, including muscle involvement which consists of changes in the structure and function of peripheral and respiratory muscles. Ultrasound can provide a non-invasive assessment of muscle damage. Ultrasound assessment of the quadriceps contractility index (Qci) is feasible, rapid, simple, and reliable. Numerous studies have demonstrated that Qci is linked to the severity of COPD, clinical symptoms, and respiratory muscle activity. Furthermore, ultrasound makes it possible to observe the dynamics of the diaphragm by measuring its amplitude, its contraction speed, and the duration of each contraction phase. Ultrasound examination of muscle damage in COPD could constitute a promising new tool to assess the severity of the disease.

Background: Clinical education is an important component of physiotherapy education programs. It provides insights to the students in the fields of physiotherapy practice, develops leadership, and enhances their clinical skills in patient assessment, examination, diagnosis, treatment, planning, and intervention selection. The dimension of physiotherapy education is in the developing phase in Nepal. For further growth, the experience and the perception of the students are very important. Through this, the facilitators and barriers in physiotherapy clinical education need to be recognized. Therefore, this study aimed to explore the facilitators and barriers in physiotherapy clinical education in Nepal from a student’s perspective.Objectives: The main objective of this study was to identify the perception of physiotherapy undergraduate students about their clinical education and to find out the facilitators and barriers in clinical education.Methods: A qualitative research using focused group discussion was conducted. Ethical considerations were taken from respective departments and IRC approval was taken. BPT 3rd year, 4th year, and intern students of KUSMS were called to participate in the study. After the consent from the participants, focus groups of 6 participants (2 participants from each 3rd year, 4th year, and intern) were formed. In five FGDs, data saturation was observed and no further FGDs were conducted. FGDs were collected with audio tape recordings. The data were transcribed verbatim and translated into the English language. Then data coding was done and themes and sub-themes were generated from the codes.Results: Through the transcribed and translated data, seven themes were generated which were clinical education, student expectation, student attitude and behavior, roles and responsibilities of clinical educators, exposure, resources, and miscellaneous. These headings explained the perception of facilitators and barriers.Conclusion: The facilitators and barriers to physiotherapy clinical education were identified through student’s perspectives. These findings should be considered while preparing the guiding document for clinical education to enhance the quality of education.

Background: Sickle cell anaemia (SCA) in children demonstrates a broad range of clinical manifestations and serious complications. Assessment of disease severity in specific populations is necessary to plan services and optimise care. Aim: To describe the clinical severity of SCA and associated sociodemographic and clinical factors in children in Gambia.Methods: The presence of lifetime complications was confirmed by history and review of medical charts. We determined clinical severity using a validated scoring system and related the severity to sociodemographic and clinical factors.Results: In 130 study participants, ages ranged from 5 to 15 years with a mean (SD) age of 9.74 (2.81) years. Eleven (8.5%) children had had acute chest syndrome, 7 (5.4%) avascular necrosis of the femoral head, 6 (4.6%) gallstones, 5 (3.8%) stroke and 1 (0.8%) priapism over their lifetime. Disease severity was classified as mild in 108 (83.1%) children, moderate in 17 (13.1%) and severe in 5 (3.8%). Age, age at diagnosis, sex, ethnicity, social class, and treatment with hydroxyurea was not significantly correlated with SCA clinical severity (P values 0.10-0.84).Conclusion: The high proportion of children with mild disease may be due to the high prevalence of Senegalese β-haemoglobin haplotype in the Senegambia subregion. However, the presence of moderate or severe disease in almost 1 in 5 children calls for concerted efforts in SCD care in this region.

Background: CT-guided lung biopsy is routinely performed minimally invasive procedure. Imaging findings in the lung can have a broad differential diagnosis; therefore, it is indicated for definitive determination of pulmonary nodules or masses. Post-biopsy complications are common with most of them manageable in daycare. As pneumothorax is the most common complication, frequency and severity of pneumothorax with assessment of risk factors and follow-up for resolution is necessary.Methods: A prospective evaluation of 123 biopsies with automated coaxial biopsy of 18 gauge was done. Post-biopsy pneumothorax was evaluated for its incidence and resolution. The studied risk factors were; patient age, sex, lesion location, lesion size, shortest pleural lesion depth, traversed lung parenchymal distance, presence of emphysema, fissure penetration, needle thoracic wall angle, and lesion characteristics.Results: Reported immediate post-procedural pneumothorax was 22% with 19% of mild, 4% of moderate and 2.4% of severe cases. 51.9% of cases showed resolution within 24 hours. The intervention was required in only 4.8% of biopsy cases. A significant p - value of pneumothorax with the nodule depth increased traversed lung parenchymal distance, acute needle angle, fissure puncture, and presence of emphysema was seen. Emphysema was an independent variable in pneumothorax in multivariate analysis.Conclusion: Pneumothorax is an unamenable consequence of CT-guided lung biopsy and a cautious approach should be kept in view of the variables that are associated with it to reduce its incidence and severity in patients.

Cardiovascular Diseases (CVDs) remain a major global health concern, necessitating accurate and comprehensive diagnostic techniques. Traditional medical imaging modalities, such as CT angiography, PET, MRI, and ultrasound, provide crucial but limited information when used independently. Image fusion techniques integrate complementary modalities, enhance visualization, and improve diagnostic accuracy. This paper presents a theoretical study of advanced image fusion methods applied to cardiovascular imaging. We explore wavelet-based, Principal Component Analysis (PCA), and deep learning-driven fusion models, emphasizing their theoretical underpinnings, mathematical formulation, and potential clinical applications. The proposed framework enables improved coronary artery visualization, cardiac function assessment, and real-time hemodynamic analysis, offering a non-invasive and highly effective approach to cardiovascular diagnostics.MSC Codes: 68U10,94A08,92C55,65T60,62H25,68T07.

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

Multiple stab wounds are a critical forensic indicator, frequently linked to violent assaults, homicides, or self-inflicted injuries. These penetrating injuries result from sharp-edged weapons such as knives, daggers, or other pointed instruments. The depth, size, and severity of the wounds depend on factors including the type of weapon used, the force applied, and the anatomical location of impact. Forensic examination of stab wounds is essential in determining the manner of death—homicidal, suicidal, or accidental. Detailed analysis of wound characteristics, such as depth, trajectory, and associated injuries, aids in crime scene reconstruction. Additionally, identifying defensive wounds can indicate victim resistance, further supporting forensic interpretations. A meticulous forensic autopsy, including weapon analysis and internal organ assessment, is crucial in establishing the cause of death. These findings play a vital role in medico-legal investigations, providing key forensic evidence that supports legal proceedings and ensures justice.

The integration of artificial intelligence (AI) technology into various fields, particularly healthcare, has demonstrated considerable potential in improving efficiency and accuracy. However, the potential risks associated with unprofessional or inappropriate use of AI cannot be overlooked. The current landscape of healthcare demonstrates a growing reliance on AI tools, which is expected to expand in the future. The existing literature highlights the effectiveness  of various AI applications, including chatbots, in specific medical domains. This study aims to review relevant literature in the pharmaceutical and galenic fields while evaluating a prominent AI chatbot provider. Based on the findings, this article presents critical considerations for researchers and practitioners. A thorough assessment of the benefits and risks associated with AI technologies is essential as these tools become increasingly prevalent in pharmaceutical practices.

Malignant neoplasms of the external auditory canal, middle and inner ear are rare. This anatomically complex region generates complicated three-dimensional specimens that can be a challenge for macroscopic and microscopic assessment [1]. The most common cause of malignancy involving the EAC and temporal bone is extension of cutaneous malignancy of pinna. Rare occurrences have been described in association with CSOM and sporadic cases arising in previously irradiated fields for the treatment of other head and neck cancers. The tissue diagnosis is relatively straightforward; however staging is a complex task that is best approached with consideration of clinical, radiological, and pathological findings [2].

Background: Absence of nocturnal decrease in Blood Pressure (BP) (“non-dipping”) has been shown to be a strong and independent predictor of cardiovascular events, target organ damage, cardiovascular sequela and cardiovascular mortality. Obstructive Sleep Apnea (OSA) has been associated with non-dipping with an estimated prevalence of approximately 50%, but factors associated with non-dipping in OSA patients remain poorly understood. In this study, we examined clinically relevant variables associated with non-dipping in OSA.Methods: Patients (n = 35) undergoing overnight valuation for OSA, laboratory-based polysomnography, structured clinical interviews, and comprehensive metabolic and anthropometric evaluations, and ambulatory BP monitoring for 24 hours. Patients were classified into a) dipping BP group or b) non-dipping BP group, based on (a) a nocturnal systolic BP decrease of 10% - 20% or (b) a systolic BP decrease of < 10%. Results: Patients had moderate and severe OSA (AHI = 34.8 ± 29.1), and 42.9% demonstrated a non-dipping BP pattern. The severity of OSA measures did not differ between dipping group and non-dipping group. However, Wake after Sleep Onset (WASO) and chronicity of insomnia predicts non-dipping BP independent of demographics, sleep stages, anthropometrics, metabolic measures, or arterial stiffness. Conclusion: These findings contribute to a better understanding of the cardiovascular impacts of OSA and indicate that sleep quality should be incorporated into clinical assessments and management of OSA patients.

Aim: To compare the vision related quality of life before and after prescription of refractive glasses in school-aged children. Design: A prospective, comparative, and hospital-based interventional study was conducted at the Regional Institute of Ophthalmology, PGIMS, Rohtak between May 2021-May 2022. It involved assessment of vision-related quality of life (VRQoL) in 200 school-going children of the 5-16 age group, then comparing outcomes in children with URE versus those corrected with eyeglasses. Those with significantly low visual acuity (≤ 6/9) on Snellen’s were enrolled in the study after obtaining written informed consent from parents. The Modified SREEQ was used to assess VRQoL. Various parameters of comparison included age, gender, demography, education, and improvement in VRQoL within individual study groups over time. Comparison was done before and after using prescription refractive eyeglasses with a follow-up period of 3 months. Results: The correction amongst hypermetropes, 40 out of total 200 students (20%), correction among myopes (153 of 200 students), correction amongst students with astigmatism (7 out of 200 students) resulted in changing categories from mild/moderate/severe visual impairment to normal category of visual acuity i.e., 6/6 on immediate correction with refractive glasses prescribed to them post refraction. Students with astigmatism showed an improvement in symptoms like distorted images post-refractive correction at 3 months. Thus, proving a positive role of refractive eyeglasses in reducing the burden of refractive errors in our study population and improving the visual outcome. Conclusion: VRQoL was better in students after they got their refractive errors corrected with prescription eyeglasses at 3 months as compared to their QoL evaluated at their first visit to our centre with URE. This study focused on having a holistic approach towards improvement in QoL by taking into consideration the academic, psychological, cost-effectiveness aspects of VRQoL among students in the age group 5-16 years old.

Background: Undergraduate nursing students, like the general population, are not devoid of negative attitudes relating to mental health. As future manpower, undergraduate nursing students need to be trained in a manner that inspires confidence in the way they perceive and handle mentally ill persons.Aim: This study aimed to investigate undergraduate students' perceptions and attitudes toward mental health practices.Methods: The study adopted a cross-sectional descriptive design approach. A self-reported questionnaire was prepared and sent to 140 undergraduate nursing students studying at King Saud University. A total of 128 students took part in the study by filling out self-reported questionnaires.Results: Undergraduate nursing students have a positive perception and attitude (social relationships) towards people living with mentally ill persons in three of the five Attitudes towards Mental Illness (AMI) categories investigated. AMI1 (18.93), AMI2 (9.55), AMI3 (16.88), AMI4 (8.34), AMI5 (9.82), Average AMI (62.98).Conclusion: Undergraduate nursing students hold unjustified views regarding people with mental illness, which leads to negative attitudes held throughout their studies and professional practice. As future manpower, it is important that psychiatric training is reformed to offer undergraduate nursing students comprehensive skills necessary for future practice.

Purpose: Stroke frequently causes severe deficits in upper limb function, which makes it difficult for patients to carry out daily tasks. An organized home-based intervention called the Graded Repetitive Arm Supplementary Program (GRASP) was developed to help stroke patients regain function in their hands and arms. This systematic review assesses the data demonstrating beneficial effects of the GRASP approach on hand function, gross and fine motor control of the upper limb in individuals post-stroke.Methods: A systematic search was performed in databases including PubMed, Scopus, CINAHL, and Cochrane Library up to April 2025. We searched the data using Keywords such as “GRASP,” “Graded Repetitive Arm Supplementary Program,” “stroke rehabilitation,” “upper limb recovery,” “fine motor skills,” and “gross motor control.” Inclusion criteria were randomized controlled trials (RCTs), quasi-experimental studies, and cohort studies involving adult stroke survivors undergoing GRASP. Studies were excluded if they were non-English and focused on other forms of intervention. Quality assessment was performed using the PEDro scale and Cochrane risk-of-bias tool.Results: Out of 243 studies initially screened, 8 met the inclusion criteria. Most studies reported significant improvements in upper limb function, including enhanced hand dexterity, grip strength, and coordination following participation in GRASP programs. High adherence rates and participant satisfaction were consistently noted. Some studies indicated that benefits were maintained at follow-up, suggesting long-term efficacy. Common outcome measures included the Fugl-Meyer Assessment (FMA), Box and Block Test (BBT), and Action Research Arm Test (ARAT).Discussion: The findings suggest that GRASP is an effective adjunct to conventional stroke rehabilitation, particularly for enhancing hand function and motor control. The structured yet flexible nature of GRASP allows for scalability and adaptability to various patient needs. Limitations of the reviewed studies include small sample sizes, heterogeneity in intervention duration, and variability in outcome measures. Further research with standardized protocols and larger samples is warranted.Conclusion: The GRASP approach appears to be a promising intervention for improving functional ability of the hand, and gross and fine motor control in the upper limbs post-stroke. Incorporating GRASP into home-based rehabilitation could enhance recovery and reduce long-term disability. Continued research is essential to establish best practices for implementation and to optimize patient outcomes.

Some preliminary results of studies on the assessment of the possibilities and prospects for obtaining products with a high Antioxidant Activity Index (AOA) from the waste of the coffee beverage production industry - "silver skin" (SC, silverskin, CS) are presented.The obtained data on the extraction of SC with aqueous-alcoholic extractants, the effect of extraction conditions on the yield of extracts, and extractive substances are discussed. It is reported on the production of dry powders of extracts that retain their properties during long-term storage.Data on the antioxidant properties of both liquid and dry forms of extracts are presented and good AOA of the studied objects is noted in comparison with the "standard" antioxidant - rosemary extract, and it is also shown that the AOA of dry forms of extracts can be increased by doping with synergists - polyphenols of natural genesis. The antioxidant activity of the obtained compositions was studied on real objects - animal fats and natural dyes, the results of which confirmed the prospects of the studied antioxidants (AO) for practical purposes.

Background: This study explored whether emotional distress, coping, and/or resilience contributed to return to driving (RTD) following experienced mild traumatic brain injury, and whether these variables of interest differed among those who had and had not RTD.  Methods: The present study evaluated de-identified archival data of 65 patients with mTBI following an MVA. Patients were either the driver, passenger, /or pedestrian struck by a motor vehicle, and aged 22 to 69 years. The sample consisted of 36 men and 29 women with an average education. The mean months elapsed between the accident and the assessment was 16.82 months. Pearson correlations were used to test for associations between all explanatory and outcome variables. Separate linear and hierarchical regressions were carried out to evaluate whether variables of interest were significant predictors of RTD.  Results: Findings revealed that the presence of depressive symptoms was associated with coping, irrespective of style, resilience, driving-related anxiety, and RTD. Moreover, RTD was related to driving-related anxiety, too, and in fact, anxiety (considering the presence of depressive symptoms) appeared to be an even greater limiting factor when considering RTD in this population. Age, gender, and education did not influence RTD. Conclusion: The present study revealed that depressive symptoms and driving-related anxiety in particular contribute to whether patients with mTBI RTD, irrespective of time since injury, age, and gender. Coping styles and resilience did not predict RTD. Further work is warranted to address the paucity of research investigating RTD parameters that contribute to and/or hinder RTD among mTBI sufferers.