Search

Abstract In this study, we examine the assessment of surface roughness on turned surfaces of Ti 6Al 4V using a computer vision system. We utilize the Dual-Tree Complex Wavelet Transform (DTCWT) to break down the images of the turned surface into sub-images oriented in directions. Three different methods of feature generation have been compared, i.e., the use of Gray-Level Co-Occurrence Matrix (GLCM) and DTCWT-based extraction of second-order statistical features, DTCWT Image fusion, and the use of GLCM for feature extraction, and DTCWT image fusion using Particle Swarm Optimization (PSO) based GLCM features. Principal Component Analysis (PCA) was utilized to identify and select features. The model was developed using a Radial Basis Function Neural Network (RBFNN). Accordingly, six models were designed based on the three feature generation methods, considering all features and features selected using PCA. The RBFNN model, which incorporates DTCWT Image fusion and utilizes PSO with PCA features, achieved a training data prediction accuracy of 100% and a test data prediction accuracy of 99.13%.

Abstract Understanding and predicting viewers’ emotional responses to videos has emerged as a pivotal challenge due to its multifaceted applications in video indexing, summarization, personalized content recommendation, and effective advertisement design. A major roadblock in this domain has been the lack of expansive datasets with videos paired with viewer-reported emotional annotations. We address this challenge by employing a deep learning methodology trained on a dataset derived from the application of System1’s proprietary methodologies on over 30,000 real video advertisements, each annotated by an average of 75 viewers. This equates to over 2.3 million emotional annotations across eight distinct categories: anger, contempt, disgust, fear, happiness, sadness, surprise, and neutral, coupled with the temporal onset of these emotions. Leveraging 5-second video clips, our approach aims to capture pronounced emotional responses. Our convolutional neural network, which integrates both video and audio data, predicts salient 5-second emotional clips with an average balanced accuracy of 43.6%, and shows particularly high performance for detecting happiness (55.8%) and sadness (60.2%). When applied to full advertisements, our model achieves a strong average AUC of 75% in determining emotional undertones. To facilitate further research, our trained networks are freely available upon request for research purposes. This work not only overcomes previous data limitations but also provides an accurate deep learning solution for video emotion understanding.

In this paper, we report a short and efficient synthesis of novel N-arylbenzo[h]quinazoline-2-amines. We have prepared a focused library of nineteen representative examples which have been submitted to cytotoxicity assays against a representative panel of eight cancer cell lines and several molecules gave attractive results in this area.

Background India is progressing toward an increasing trend in of the geriatric population. By 2050, it is expected to double from 10.8% to 20%. A decrease in functional and locomotor activity among the geriatric population impairs the process of healthy aging. Methodology The study assessed the fall risk, frailty, and limitation in the activity of daily living among the individuals aged 60 years or more in rural area of Khordha district in Odisha. The cross-sectional study with 188 participants in a rural area assessed the functional ability of the elderly with Fall Risk Assessment Test Scale, Clinical Frailty Scale, and Katz Index. Results The study reported that 11.7% (confidence interval [CI] = 7%–17%) were medium to high risk of fall, 24% (CI = 18%–30%) were mildly frail, 29% (CI = 22%–36%) were vulnerable, and 10.6% (CI = 6%–15%) had limitation in the activity of daily living. Age, difficulty in vision, decreased sleep duration, and chronic disease were significant determinants of the limitation in the functional ability of the elderly. Conclusion Elderly population are at higher risk of fall, increased frailty, and limitation in activity of daily living. Comprehensive geriatric assessment, including the physical, psychological, and nutritional assessment, needs to be integrated to meet the health-care needs of the elderly in primary health care.

Background & objectives: Vector-borne diseases pose substantial global health challenges, with a notable impact on India. Effective vector control strategies are crucial to mitigating these diseases as there are no effective vaccines available. Synthetic chemicals are widely used but concerns about safety and environmental impact have prompted exploration of alternative natural solutions. Unani medicine offers a potential source of natural products. This study aims to systematically review classical Unani texts and contemporary scientific literature to evaluate the vector control potential of Unani medicines. Methods: A comprehensive review of classical Unani texts was carried out to compile data on herbal and mineral substances suggested in Unani medicine for control of insects. Furthermore, electronic databases like PubMed, Google Scholar, and Science Direct were explored for research studies evaluating the insect repellent, larvicidal, and insecticidal activities of the Unani medicines. Time restriction was not imposed to ensure comprehensive retrieval of pertinent and up-to-date information. Results: From classical Unani texts, 29 drugs were identified for control of insects, primarily of plant origin from diverse botanical families. Recent scientific investigations have confirmed the insect-repellent, insecticidal, and larvicidal activities of 19 of these Unani medicines against various insect species, including mosquitoes. Interpretation & conclusion: These findings underscore the potential of Unani medicines as a natural source for vector control. However, further research is essential to explore mechanism, delivery methods, and optimal concentrations for developing effective vector-control formulations.

Background: Patients with acute coronary syndrome (ACS) and increased left atrial volume index (LAVI) have worse long-term prognosis. The present study was designed to evaluate the association between LAVI and the clinical characteristics of the patients with ACS at admission and at follow-up. Materials and Methods: A prospective cohort study was conducted at a tertiary care center in India between April 2018 and December 2019. A total of 80 patients (aged >18 years) having chest pain or its equivalent with a diagnosis of ACS were enrolled as the case group and 30 healthy controls (aged >18 years) were enrolled as the control group. The case group was further classified into two groups based on LAVI values (i.e., LAVI

Spine radiographs in the standing position are the recommended standard for diagnosing idiopathic scoliosis. Though the deformity exists in 3D, its diagnosis is currently carried out with the help of 2D radiographs due to the unavailability of an efficient, low-cost 3D alternative. Computed tomography (CT) and magnetic resonance imaging (MRI) are not suitable in this case, as they are obtained in the supine position. Research on 3D modelling of scoliotic spine began with multiplanar radiographs and later moved on to biplanar radiographs and finally a single radiograph. Nonetheless, modern advances in diagnostic imaging have the potential to preserve image quality and decrease radiation exposure. They include the DIERS formetric scanner system, the EOS imaging system, and ultrasonography. This review article briefly explains the technology behind each of these methods. They are compared with the standard imaging techniques. The DIERS system and ultrasonography are radiation free but have limitations with respect to the quality of the 3D model obtained. There is a need for 3D imaging technology with less or zero radiation exposure and that can produce a quality 3D model for diseases like adolescent idiopathic scoliosis. Accurate 3D models are crucial in clinical practice for diagnosis, planning surgery, patient follow-up examinations, biomechanical applications, and computer-assisted surgery.

Background: The proximal humerus is a common site for primary malignant and benign aggressive bone tumors, necessitating wide resection and subsequent skeletal defect reconstruction. Various reconstruction options include osteoarticular allografts, autografts, endoprosthesis, nail-cement spacer, reverse shoulder arthroplasty, and allograft-prosthesis composites. However, there is no consensus on the optimal reconstruction method. This study aims to compare functional outcomes and complications between these two methods. Methods: A total of 40 patients with proximal humerus tumors who underwent endoprosthesis or nail-cement spacer reconstruction between March 2012 and December 2020 were included. The mean follow-up in the study was 31.37 +/− 12 months. Demographic and clinical data were collected, and functional outcomes were assessed using the Musculoskeletal Tumor Society 93 scoring system and the Disabilities of the Arm, Shoulder, and Hand questionnaire. Complications and oncological outcomes were recorded. Results: Both groups were similar in terms of demographic and clinical variables. Endoprosthesis reconstruction demonstrated significantly better active shoulder forward flexion compared to nail-cement spacer (45.8 vs. 25.2 degrees) (P = .015). Endoprosthesis group also exhibited greater active shoulder internal rotation (68.25 vs. 63.25 degrees) (P = .004). No statistically significant differences were observed in overall functional outcomes. Complications, including radial nerve palsy and infection, were comparable between groups, with one case of spacer loosening. Conclusion: Both endoprosthesis and nail-cement spacer reconstruction provide comparable functional outcomes and complication rates following proximal humerus tumor resection. Nail-cement spacer offers a cost-effective alternative for patients in resource-constrained settings.

ObjectivesInferior vena cava (IVC) diameter may be a surrogate for volume status in acute decompensated heart failure (ADHF). The utility of IVC diameter measurement is under studied. The aim of this study was to assess the relationship between IVC diameter, clinical variables and ADHF rehospitalisations.MethodsRetrospective chart review of 200 patients admitted for ADHF from 2018 to 2019 with transthoracic echocardiogram during index hospitalisation. Charts were assessed for ADHF rehospitalisation within 1 year.ResultsThe median age was 64, 30.5% were female, and average left ventricular ejection fraction was 41%±20%. IVC diameter correlated to pulmonary arterial (PA) pressure (R=0.347, p

This study investigates the heat and mass transfer characteristics of a magnetohydrodynamic (MHD) Newtonian fluid flowing between two parallel plates of different permeabilities. The equations governing fluid flow are transformed from non-linear partial differential equations into non-linear ordinary differential equations by employing similarity transformations. Furthermore, an approximate analytic solution obtained by adopting the homotopy perturbation method is compared with the numerical solution obtained using the classical finite difference method. The current study mainly aims to analyse the effects of various physical parameters on the velocity fields, temperature profiles, concentration distribution curves, and numerical values of skin friction, heat and mass transfer rates. It was observed that the Reynolds number, Nusselt number, and Brownian motion constant suppressed the mass transfer rate at the lower plate, whereas it was enhanced at the upper plate. Furthermore, the concentration of the fluid was enhanced by the Prandtl number, Nusselt number, magnetic number, and chemical reaction parameters in both cases. It is also noted that the rate of mass transfer increases with increasing Prandtl number, Schmidt number, and chemical reaction parameter at the bottom plate, whereas it decreases at the upper plate. This type of modelled phenomenon has wide applications in metallurgy, including liquid purification.

Purpose: Response to neoadjuvant chemotherapy in form of tumor necrosis predicts outcome in osteosarcoma; although response-adapted treatment escalation failed to improve outcome among patients treated with high-dose methotrexate-based (HDMTx) chemotherapy. This study aimed to identify factors predicting tumor necrosis and its impact on survival among patients with non-metastatic osteosarcoma treated with a response-adapted non-HDMTx regimen. Methods: A retrospective single-institutional study was conducted among non-metastatic osteosarcoma patients treated with neoadjuvant therapy between 2004–2019. Patients were treated uniformly with three cycles of neoadjuvant cisplatin/doxorubicin. Post-operatively, patients with favourable necrosis (≥90 %) received 3 cycles of cisplatin/doxorubicin, while patients with poor necrosis (

Abstract Introduction The health of women is of particular concern because they often have greater health needs than men and many women still lack access to quality healthcare services, preventing their ability to attain the best possible level of health. Hence, this study aimed to assess the accessibility and availability of health services among rural women. Methods A household survey was conducted by using a multi-stage sample with 407 married women aged 18–45 years, having at least one child and living in Tiruchirappalli District, Tamil Nadu were recruited for this study. A semi-structured questionnaire was used to collect data about the demographic status, and accessibility and availability of health services. Results Of the 407 respondents, 70% were aged between 26 and 40 years, 73% were working as farmers and labourers and 77% were living in nuclear families. 71% of them had enjoyed hospital facilities near their residence and 83% of the hospitals were run by the government. In village health nurse service (VHN), 34% of the respondents had received all services from VHN and 86% did not face any kind of gender inequality and almost all of them were satisfied with the service provided by the VHN. Almost all the respondents (98%) were satisfied with the availability of health services and 92% of them benefited from the government scheme related to childbirth. Conclusion This study showed that overall, the women were satisfied with the availability of healthcare services and reproductive health services. Moreover, almost all of them benefited from the government scheme related to childbirth.

An investigation of the influence that the Cattaneo–Christov heat and mass flux have on the whirling flow that occurs across a stretchable cylinder is being carried out in this study. This model takes into consideration the impact of a magnetic field, in addition to also taking into account heat and the diffusion of solutes. During the process of developing this mathematical model, the Navier-Stokes equation was employed to illustrate the flow that was predicted. Under the flow assumptions, the partial differential equations were derived from an approximation of the Navier-Stokes equation using the boundary layer approach. In order to make advantage of the ordinary differential equations formalism, the system is transformed via the application of similarity transformations. The Runge Kutta Felberg-45 (RKF-45) method gives an explanation of a system that does not have any dimensions. Both quantitatively and visually, the impacts of the key physical variables are shown. It is noticed that, the Swirl velocity profile decayed for higher values of magnetic parameter and Reynolds Number. Further we noticed that, the temperature fields strengthen with enhanced values of Eckert numbers (Ec1 and Ec2).

Background: The COVID-19 vaccines were rolled out as an emergency measure, with an expedited approval to contain the pandemic. The objective of this study was to assess the incidence, pattern and severity of AEFIs reported following COVID-19 vaccination and their predictors among the healthcare workers. Materials and methods: A prospective cohort study enrolling healthcare workers of a tertiary care Institute in North India receiving COVISHIELD™ from February to May 2021 was carried out to assess the incidence, pattern and severity of AEFI over the next 30 days. Both active and passive surveillance methods were used for AEFI recording. Bivariate analysis was performed to ascertain the predictors of AEFIs. Results: A total of 836 healthcare workers who received the first dose of COVISHIELD™ were included in the study of which 201 (24.0 %) experienced one or more AEFIs. Majority of AEFIs were of minor grade (99.8 %) and resolved spontaneously. Majority (96.0 %) had onset of the AEFIs within 48 hrs of vaccination. Serious AEFIs, leading to hospitalization was noticed in 2(0.2 %) participants, both females, with suspicion of immunization stress related response (ISRR). Both of them recovered without any sequelae. No deaths were recorded. Factors found to be significantly associated with the occurrence of AEFIs in the participants were female gender (p = 0.02), monthly income > 20,000 INR (p = 0.007), presence of any chronic illness (p

Background The updated Shape of Training curriculum has shortened the duration of specialty training. We present the potential role of out of programme clinical fellowships.Method An electronic online survey was sent to all current fellows to understand their experiences, training opportunities and motivations.Data were collected on fellows’ endoscopic experiences and publications using PubMed for all previous doctors who have completed the Sheffield Fellowship Programme.Results Since 2004, 39 doctors have completed the Sheffield Fellowship.Endoscopic experience: current fellows completed a median average of 350 (IQR 150–500) gastroscopies and 150 (IQR 106–251) colonoscopies per year. Fellows with special interests completed either 428 hepato-pancreato-biliary procedures or 70 endoscopic mucosal resections per year.Medline publications: Median average 9 publications(IQR 4–17). They have also received multiple national or international awards and 91% achieved a doctoral degree.The seven current fellows in the new Shape of Training era (57% male, 29% Caucasian, aged 31–40 years) report high levels of enjoyment due to their research projects, supervisory teams and social aspects. The most cited reasons for undertaking the fellowship were to develop a subspecialty interest, take time off the on-call rota and develop endoscopic skills. The most reported drawback was a reduced income.All current fellows feel that the fellowship has enhanced their clinical confidence and prepared them to become consultants.Conclusion Out of programme clinical fellowships offer the opportunity to develop the required training competencies, subspecialty expertise and research skills in a supportive environment.

Establishing causal links between inherited polymorphisms and cancer risk is challenging. Here, we focus on the single-nucleotide polymorphism rs55705857, which confers a sixfold greater risk of isocitrate dehydrogenase (IDH)-mutant low-grade glioma (LGG). We reveal that rs55705857 itself is the causal variant and is associated with molecular pathways that drive LGG. Mechanistically, we show that rs55705857 resides within a brain-specific enhancer, where the risk allele disrupts OCT2/4 binding, allowing increased interaction with the Myc promoter and increased Myc expression. Mutating the orthologous mouse rs55705857 locus accelerated tumor development in an Idh1R132H-driven LGG mouse model from 472 to 172 days and increased penetrance from 30% to 75%. Our work reveals mechanisms of the heritable predisposition to lethal glioma in ~40% of LGG patients.

Abstract In ophthalmology, intravitreal operative medication therapy (IVOM) is a widespread treatment for diseases related to the age-related macular degeneration (AMD), the diabetic macular edema, as well as the retinal vein occlusion. However, in real-world settings, patients often suffer from loss of vision on time scales of years despite therapy, whereas the prediction of the visual acuity (VA) and the earliest possible detection of deterioration under real-life conditions is challenging due to heterogeneous and incomplete data. In this contribution, we present a workflow for the development of a research-compatible data corpus fusing different IT systems of the department of ophthalmology of a German maximum care hospital. The extensive data corpus allows predictive statements of the expected progression of a patient and his or her VA in each of the three diseases. For the disease AMD, we found out a significant deterioration of the visual acuity over time. Within our proposed multistage system, we subsequently classify the VA progression into the three groups of therapy “winners”, “stabilizers”, and “losers” (WSL classification scheme). Our OCT biomarker classification using an ensemble of deep neural networks results in a classification accuracy (F1-score) of over 98%, enabling us to complete incomplete OCT documentations while allowing us to exploit them for a more precise VA modelling process. Our VA prediction requires at least four VA examinations and optionally OCT biomarkers from the same time period to predict the VA progression within a forecasted time frame, whereas our prediction is currently restricted to IVOM/no therapy. We achieve a final prediction accuracy of 69% in macro average F1-score, while being in the same range as the ophthalmologists with 57.8 and $$50 \pm 10.7$$ 50 ± 10.7 % F1-score.