Search

FastCaloSim is a parameterized simulation of the particle energy response and of the energy distribution in the ATLAS calorimeter. It is a relatively small and self-contained package with massive inherent parallelism and captures the essence of GPU offloading via important operations like data transfer, memory initialization, floating point operations, and reduction. It was identified by the High Energy Physics Center for Computational Excellence project as a good testbed for evaluating the performance and ease of portability of programming models. In this paper, we will discuss the results of our evaluation of the porting process to Kokkos, SYCL, Alpaka, OpenMP and std::par (nvc++), and compare performance on NVIDIA, AMD and Intel GPUs, as well as multicore CPUs.

Random number generator is an important component of many scientific projects. Many projects are written using programming models (like OpenMP and SYCL) to target different architectures. However, some programming models do not provide a random number generator. In this work, we introduce our random number generator wrapper. It is a header-only library that supports three distributions of random numbers: uniform, normal, and poisson. On the GPU backend, it wraps the cuRAND and rocRAND library, and supports various random number engines. It also wraps random123, a counterbased random number generator, on both CPU and GPU. With this library, we can generate random numbers with a few lines of code and target both GPU and multi-thread CPU with the same code. We also investigate the performance and scalability of this wrapper on different architectures with different engines and the number of cores.

Finite Element Analysis (FEA) is vital for understanding dental traumatology (DT) biomechanics, aiding diagnosis, treatment planning, and outcome prediction. This review explores FEA applications in DT research, evaluates their quality and outcomes, and assesses methodological aspects. Accordingly, recommendations for future researchers are provided. The study adhered to Preferred Reporting Items for Systematic Reviews and Meta‐Analyses guidelines for scoping reviews and registered in Open Science framework. A comprehensive search using relevant text‐words and MeSH terms was performed in established databases. The inclusion criteria encompassed all Finite element analysis (FEA)‐based Dental traumatology (DT) studies without language or publication year restrictions. Risk of bias was assessed with the Risk of bias tool for the use of finite element analysis in dentistry (ROBFEAD) tool. Forty‐six studies published from 2001 to 2023 were included in the qualitative synthesis. The studies were categorized into five domains and six subdomains based on objectives. Maxillary central incisors and surrounding structures were commonly modelled (n = 27). Most studies utilized Computed tomography (CT), Cone Beam CT, or micro CT. Traumatic injury forces ranged from 100 N to 2000 N, and occlusal forces ranged from 150 N to 350 N. All studies were rated as high risk of bias. Fory‐six studies were categorized, with most focusing on stress distribution and fracture patterns in dento‐alveolar structures under various conditions, while few assessed displacements. Methodological quality lacked robustness in model development and substructure properties. Future studies should address these limitations and enhance reporting practices. [ABSTRACT FROM AUTHOR]

Background/Aims: The recommendations for splinting are well established for the injuries of permanent dentition; however, ambiguity still exists for the injuries in primary dentition. Hence, this study aimed to determine the most appropriate dimensions of stainless steel wire and its extent, for achieving the physiologic mobility in primary dentition. Material and Methods: This study was designed as an in vitro experiment by using a typodont model of primary dentition. The baseline mobility of primary maxillary incisors was calibrated to the physiologic mobility of natural primary incisors by using a Teflon tape wrapped around the roots of resin teeth. Splinting was done using a stainless steel wire of 0.2 mm (Group I), 0.3 mm (Group II), and 0.4 mm (Group III). These groups were subdivided (a, b, and c) on the basis of the extent of the splint, and pre splint mobility (Pre‐PV) and post‐splint mobility (Post‐PV) were tested by Periotest M. The splint effect was calculated by subtracting Post‐PVs and Pre‐PVs. Results: The normal values of mobility in healthy human volunteers ranged from 10.5 to 13. The overall splint effect was higher in Group III irrespective of the extent of the splint, whereas it was found to be the lowest in Group I (b and c). The splint effect increased with the extent of the splint in all the groups. Among all the groups, the splint effect on the anchor teeth was observed to increase with the extent of the splint and the diameter of the wire. Conclusion: The mobility of the injured and anchor teeth splinted with 0.2‐mm stainless steel wire was similar to the pre‐splint and physiologic mobility. The most favorable extension was one tooth adjacent to the injured tooth on each side for both 0.2‐ and 0.3‐mm wires. [ABSTRACT FROM AUTHOR]

We present our ongoing work aimed at accelerating a particle‐resolved direct numerical simulation model designed to study aerosol–cloud–turbulence interactions. The dynamical model consists of two main components—a set of fluid dynamics equations for air velocity, temperature, and humidity, coupled with a set of equations for particle (i.e., cloud droplet) tracing. Rather than attempting to replace the original numerical solution method in its entirety with a machine learning (ML) method, we consider developing a hybrid approach. We exploit the potential of neural operator learning to yield fast and accurate surrogate models and, in this study, develop such surrogates for the velocity and vorticity fields. We discuss results from numerical experiments designed to assess the performance of ML architectures under consideration as well as their suitability for capturing the behavior of relevant dynamical systems. [ABSTRACT FROM AUTHOR]

Background: School‐based oral health education has emerged as one of the most effective methods to instill a positive attitude toward oral health in children. Aim: This systematic review (SR) aimed to assess the effectiveness of different methods of oral health education in children and adolescents. Design: Systematic search was conducted in PubMed, Cochrane, Web of Science, LILACS, Scopus, and EMBASE on January 29, 2023. Review included only randomized controlled trials (RCTs), and their risk of bias (ROB) was assessed by Cochrane RoB‐2. Data were extracted and analyzed by expert group. The GRADE approach was used to assess the quality of evidence for each outcome. Every step was conducted in duplicate, and disagreements were resolved by consulting the third reviewer. Results: The SR included 10 RCTs with majority showing a high ROB. They included 12 methods with the commonest being the use of leaflets/flash cards. Most interventions were effective in improving oral hygiene, gingival health, and knowledge except conventional teaching methods, lecture by using PowerPoint by dentists, and e‐learning interventions. The grade of evidence in the majority of outcomes was found to be low or very low. Conclusion: Interventions using the interactive methods such as games, motivational‐experiential learning, and audiovisual methods were found to be more effective than controls and other interventions. Variabilities in study methods and outcome variables must be addressed in the future. [ABSTRACT FROM AUTHOR]

Background/Aim: The updated version of the International Association of Dental Traumatology (IADT) guidelines was published online in May 2020 in the form of four papers. They are extensively used in dental trauma education in textbooks, undergraduate and postgraduate programs, and clinical workshops. Hence, this study aimed to assess the impact, global scientific reach, and utilization of these guidelines through altmetric and citation analysis. Material and Methods: The protocol was prepared after an expert group discussion. Dimensions database was used to derive the altmetric and citation data on April 10th, 2023. The data was extracted by using a self‐designed pre‐piloted form by two authors independently. The citing articles were further categorized into the type of study and the domains and subdomains of dental traumatology. The VOSviewer program was utilized to explore the correlation between the subdomains and the overlap of citations was assessed by creating a citation matrix. Results: A total of 552 citations had been collectively received by the four papers. The highest was seen for the guidelines for fracture and luxation in permanent teeth (FL), avulsion in permanent teeth (AV), general introduction (GI), and primary teeth (PT). Dental Traumatology had the maximum number of citing papers for each guideline. They were from 52 countries with English being the commonest language. Overall, the maximum number of citations had been received in narrative reviews (n = 104) and the majority of cited papers were categorized in the therapeutic domains. The most common subdomain for the papers that cited GI, FL, and AV was "treatment protocols in permanent teeth", while it was "awareness of prevention and emergency management of traumatic dental injuries" for the papers that had cited PT. Conclusions: This analysis highlighted that the IADT 2020 guidelines are globally popular resources, which are widely used by the researchers across specialities and are intended towards clinical application. [ABSTRACT FROM AUTHOR]

Background/Aims: The recommended treatment for uncomplicated crown fractures is bonding the fractured fragment or the fragment reattachment. A paucity was identified regarding the studies comparing the efficacy of micro‐hybrid and nanohybrid composites in fragment reattachment. Hence, the present study aimed to evaluate and compare three materials for bonding of fragments rehydrated by humidification in teeth with uncomplicated crown fractures. Material and Methods: Eighty mandibular bovine incisors with similar dimensions and free of any structural deformities were fractured similar to the technique followed in previous studies. Fracture was simulated, fragments, and stumps were coded, stumps were stored in artificial saliva and the fragments were dehydrated at room temperature and pressure. They were randomly assigned to Group‐1 (no rehydration), Group‐2 (rehydrated and bonded by flowable nanohybrid composite—3M Filtek Supreme Syringe Flowable Composite Resin—A2, Sao Paulo, Brazil), Group‐3 (rehydrated and bonded by flowable micro‐hybrid composite‐ Ruby Flow, InciDental, England, United Kingdom), and Group‐4 (rehydrated and bonded by light‐cured Glass‐Ionomer‐Cement—Voco Ionoseal, Cuxhaven, Germany). The samples were subjected to a universal testing machine to evaluate the force required to fracture the bonded fragments. Results: The highest median value of the force required to fracture was recorded for Group 2 (208.4 N) followed by Group 3 (195.2). The force required to fracture the bonded fragments was lowest in Group 4 (67.2 N) which was lower than the negative control (131.4 N). The differences between the observations in Groups 2 and 3 were not found to be statistically significant. Conclusion: The nano and micro‐hybrid composites showed greater force required to fracture than fragments bonded by LC‐GIC. Dehydrated fragments bonded using nanocomposites performed better than rehydrated fragments bonded by using LC‐GIC. [ABSTRACT FROM AUTHOR]

Particle‐resolved direct numerical simulations (PR‐DNS) play an increasing role in investigating aerosol‐cloud‐turbulence interactions at the most fundamental level of processes. However, the high computational cost associated with high resolution simulations poses considerable challenges for large domain or long duration simulation using PR‐DNS. To address these issues, here we present an emulator of the complex physics‐based PR‐DNS developed by use of the data‐driven Fourier Neural Operator (FNO) method. The effectiveness of the method is showcased by presenting turbulence and temperature fields in a two‐dimensional space. The results demonstrate high accuracy at various resolutions and the emulator is two orders of magnitude cheaper in terms of computational demand compared to the physics‐based PR‐DNS model. Furthermore, the FNO emulator exhibits strong generalization capabilities for different initial conditions and ultra‐high‐resolution without the need to retrain models. These findings highlight the potential of the FNO method as a promising tool to simulate complex fluid dynamics problems with high accuracy, computational efficiency, and generalization capabilities, enhancing our understanding of the aerosol‐cloud‐precipitation system. Plain Language Summary: Particle‐resolved direct numerical simulations (PR‐DNS) are an important model to enhance our understanding of the fundamental processes involved in aerosol‐cloud‐turbulence interactions. However, achieving the extra‐high‐resolution simulations comes at very expensive computational cost. Although high‐performance computing can accelerate PR‐DNS simulations, it requires considering various factors, such as efficient message passing interface communications and graphics processing unit memory utilization. The machine learning (ML) emulators require much less computation cost compared to traditional numerical methods. Nevertheless, conventional ML models can only learn mappings between specific finite‐dimensional spaces. The Fourier Neural Operator (FNO) method has recently been proposed to learn in the mesh‐free and infinite dimensional space. In this study, we first present an emulator of the complex PR‐DNS developed by using of the FNO method. The results show that the FNO model can achieve high accurate prediction, require low computational cost, and perform well with different initial conditions and resolutions, without re‐training the ML models. Key Points: The Fourier Neural Operator (FNO) model can accurately emulate particle‐resolved direct numerical simulations (PR‐DNS) at various resolutionsThe computational time of the physics‐based PR‐DNS model is reduced by two orders of magnitude with the FNO modelThe FNO model demonstrates robust and zero‐shot generalization for various initial conditions and ultra‐high resolutions [ABSTRACT FROM AUTHOR]

Background: Human growth and maturation are continuous processes, and transition from childhood into adulthood is not abrupt, the period of adolescence encompasses rapid changes in physical changes and maturation, and in psychological development. Objective: To study the dietary habit, mean calorie intake and mean protein intake of last 24 hours in the study population. Materials and Methods: The present cross- sectional study was conducted in the field practice areas of Rural Health Training Centre, Jawan and Urban Health Training Centre, Aligarh, of the Department of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University. Results: Majority of students (91.6%) used to take meals three times a day and only 8.4% used to had meal twice a day, out of them most of them were from rural area. mean calorie and mean protein intake being less in whole age group of 10-19 years than the reference values given by ICMR 2010. Total mean calorie of 10-19 years age group was 1995.09 in urban and 2056.07 in rural area. Total mean protein intake of 10-19 years age group was 44.56 gm/day in urban and 41.44 gm/day in rural area. Conclusion: Overall 98.77% rural and 94.92% urban students were found to be deficit in calorie intake in 24 hours recall method and protein intake was deficit in 84.37% urban and 93.44% rural students. [ABSTRACT FROM AUTHOR]

There has been a systematic review of studies that used FEA in dental sciences, but no adequate risk of bias (RoB) analysis technique has been developed. Therefore, the development and validation process of RoB in studies using the finite element analysis in dentistry (ROBFEAD) tool is described. In the first phase of development, the scope of the tool and possible modifications were covered, and validation was done in the second phase. The developed tool comprised 6 domains and a total of 22 guiding questions in these domains. This article proposes the development and validation of ROBFEAD, a tool for measuring RoB in finite element research in dentistry. [ABSTRACT FROM AUTHOR]

This article is a response to a letter received regarding a research paper titled "Long‐term effects of chemotherapy and radiation received during early childhood on the developing dentition of pediatric cancer patients." The research paper explores the impact of chemotherapy and radiation on the development of teeth in childhood cancer survivors. The letter raised concerns about the dose of radiation received by the jaw and dentition. The authors of the response address these concerns and provide additional information about the study's methodology and findings. They emphasize the need for more definitive information regarding the dose of radiation and chemotherapy received to understand their effects on dental development. [Extracted from the article]

This paper reports the unique microstructure of polyurea foams that combines the advantages of open and closed cell polymeric foams, which were synthesized through a self-foaming process. The latter was the result of aggressive mechanical mixing of diamine curative, isocyanate, and deionized water at ambient conditions, which can be adjusted on-demand to produce variable density polyurea foam. The spherical, semi-closed microcellular structure has large perforations on the cell surface resulting from the concurrent expansion of neighboring cells and small holes at the bottom surface of the cells. This resulted in a partially perforated microcellular structure of polyurea foam. As a byproduct of the manufacturing process, polyurea microspheres nucleate and deposit on the inner cell walls of the foam, acting as a reinforcement. Since cell walls and the microspheres are made of polyurea, the resulting reinforcement effect overcomes the fundamental interfacial issue of different adjacent materials. The partially perforated, self-reinforced polyurea foam is compared to the performance of traditional counterparts in biomechanical impact scenarios. An analytical model was developed to explicate the stiffening effect associated with the reinforcing microspheres. The model results indicate that the reinforced microcell exhibited, on average, ~30% higher stiffness than its barren counterpart.

Imagery-based 3D scanning can be performed by scanners with multiple form factors, ranging from small and inexpensive scanners requiring manual movement around a stationary object to large freestanding (nearly) instantaneous units. Small mobile units are problematic for use in scanning living creatures, which may be unwilling or unable to (or for the very young and animals, unaware of the need to) hold a fixed position for an extended period of time. Alternately, very high cost scanners that can capture a complete scan within a few seconds are available, but they are cost prohibitive for some applications. This paper seeks to assess the performance of a large, low-cost 3D scanner, presented in prior work, which is able to concurrently capture imagery from all around an object. It provides the capabilities of the large, freestanding units at a price point akin to the smaller, mobile ones. This allows access to 3D scanning technology (particularly for applications requiring instantaneous imaging) at a lower cost. Problematically, prior analysis of the scanner’s performance was extremely limited. This paper characterizes the efficacy of the scanner for scanning both inanimate objects and humans. Given the importance of lighting to visible light scanning systems, the scanner’s performance under multiple lighting configurations is evaluated, characterizing its sensitivity to lighting design.