scispace - formally typeset
Search or ask a question

Answers from top 4 papers

More filters
Papers (4)Insight
The results of this review show that claustrophobia is an issue when undergoing MRI, with approximately 1 out of 100 or 12 out of 1000 people scanned experiencing a claustrophobic reaction requiring premature termination of the scan.
Most but not all catheters can be left in place during 1.5-T MRI scans.
Certain aspects of screening patients for MRI examinations may take place during the scheduling process, which must be conducted by a healthcare professional specially trained in MRI safety.
With adequate measures taken before performing an MRI scan, reported complication rates are generally low, but there is a nonnegligible residual risk for power-on reset and lead heating.

See what other people are reading

What if students don't have computational thinking skills?
4 answers
If students lack computational thinking skills, they may face challenges in problem-solving, system design, and understanding human behavior. To address this issue, interventions focusing on enhancing creativity have shown positive impacts on the acquisition of computational thinking skills. Evaluating and improving computational thinking abilities can be achieved through a three-way decision model, which includes specific evaluation metrics and personalized training measures based on students' abilities. Implementing robotics-based interventions in elementary classrooms has been found to positively impact students' computational thinking skills, providing a practical and teacher-friendly approach to skill development. Emphasizing computational thinking skills in teaching processes, regardless of gender or education level, is crucial for equipping students with essential skills for the 21st century.
What are the most effective strategies for preventing malicious insiders from causing harm in organizations?
5 answers
Effective strategies for preventing malicious insiders from causing harm in organizations include utilizing biometric-based and asset metric-based prevention approaches. Biometric-based strategies encompass physiological, behavioral, and physical measures, while asset metric-based methods involve host, network, and combined approaches. Additionally, employing machine learning models can aid in detecting serious insider threats like data leakage incidents, addressing bias and imbalance issues in datasets for accurate detection. Integrating access control with moving target defense and deception techniques can also make unauthorized access more challenging and costly for insiders, enhancing security measures against insider threats. These comprehensive approaches aim to safeguard organizational assets from the risks posed by malicious insiders, offering a multi-faceted defense mechanism against insider attacks.
What is the difference between conservative and operative treatment for humeral shaft fractures?
5 answers
Conservative treatment of humeral shaft fractures with functional bracing is associated with lower infection and nerve injury rates compared to operative methods, but poses higher risks of revision, nonunion, and malunion. Operative interventions like open reduction and internal fixation (ORIF), minimally invasive plate osteosynthesis (MIPO), and intramedullary nailing (IMN) show lower reoperation rates than bracing. MIPO results in faster union times with less periosteal stripping, while ORIF is linked to higher radial nerve injury rates. Surgical options, including plate osteosynthesis, demonstrate higher healing rates, fewer complications, and better functional outcomes than nonoperative approaches. Overall, operative treatment, especially plate osteosynthesis, appears to offer more favorable results in terms of fracture healing, complications, and functional outcomes for humeral shaft fractures.
What does Roberta's Tokenizer base on?
5 answers
RoBERTa's tokenizer is based on identifying individual tokens or words within a token string and generating a language model using these tokens. Additionally, the tokenizer may utilize a weighted vocabulary related to entities like persons or companies, where some tokens are given higher weights. This weighted vocabulary is used as input for the language model to generate pseudo sentences, which are then employed to train the tokenizer. Furthermore, the performance of RoBERTa models, along with other models like ALBERT and ELECTRA, has been evaluated for tasks such as classifying token replacements accurately, supporting the development of question and answer systems in Indonesian language models. The study also highlights the importance of specialized monolingual tokenizers in improving downstream performance of multilingual models like RoBERTa for various languages and tasks.
How do acidobacteria contribute to the breakdown of carbohydrates, proteins, and lipids during anaerobic digestion?
5 answers
Acidogenic bacteria play a crucial role in anaerobic digestion by producing extracellular enzymes that hydrolyze carbohydrates, proteins, and lipids into simpler compounds. Carbohydrates are broken down into mono- and disaccharides, proteins into amino acids, and lipids into fatty acids, which are further transformed into acetate, longer chain fatty acids, CO2, and H2. In the presence of carbohydrates, Acinetobacter was identified as the main protein-degrader in anaerobic digesters, highlighting its preference for protein substrates over carbohydrates. This preference can lead to challenges in protein degradation efficiency when carbohydrates are present, emphasizing the need for a staged or time-phased approach and the enrichment of active protein-degraders for efficient degradation of protein and carbohydrate mixtures in anaerobic digesters.
In what ways does microfinance promote financial inclusion within communities Indonesia?
5 answers
Microfinance, particularly through programs like Rural Agribusiness Business Development (PUAP) and Financial Technology (FinTech), plays a crucial role in promoting financial inclusion in Indonesia. These initiatives aim to provide access to financial services for low-income communities, empowering them to grow their businesses and improve their financial literacy. By offering capital assistance, legal education, and innovative peer-to-peer lending services, microfinance bridges the gap between underserved populations and formal financial institutions, thus enhancing economic resilience, reducing poverty, and fostering inclusive growth. Through these efforts, microfinance not only addresses income inequality but also contributes to the overall stability and development of the economy by diversifying funding sources and improving financial management capabilities within communities.
What are the factors that contribute to differences in reading comprehension among individuals?
5 answers
Individual differences in reading comprehension are influenced by various factors. These include cognitive abilities like memory capacity, distraction inhibition, and processing level shifting. Additionally, decoding accuracy, fluency, and language comprehension play crucial roles in reading comprehension, with distinct neural correlates associated with each component. Factors such as phonological awareness, working memory, metacognition, motivation, and anxiety also impact reading outcomes in second language contexts. Moreover, individual and environmental factors like prior knowledge, vocabulary, family participation in reading, and family income level significantly predict reading comprehension levels. Furthermore, struggling reader status, working memory, vocabulary, and other cognitive skills influence discourse comprehension in oral language, emphasizing the importance of considering individual, text, and assessment factors.
Material Performance Metrics of the material properties ofLow density polyethylene (LDPE)?
4 answers
Low-density polyethylene (LDPE) exhibits various material performance metrics based on different composite formulations. LDPE composites reinforced with Al2O3 particles show improved wear resistance. Incorporating Macca carbon (MC) powder enhances LDPE's FIR emission ability, antibacterial activity, and storage performance. LDPE with specific molecular weight and viscosity ranges demonstrates distinct properties. LDPE is commonly used to study electron transport in insulating materials, with alterations in chemical properties observed post-irradiation. LDPE clay nanocomposites exhibit enhanced corona ageing resistance, surface discharge inception voltage, and thermomechanical properties. These diverse studies highlight LDPE's versatility and the significant impact of various additives on its material properties, making it a valuable material for a wide range of applications.
How the missing data occurs in healthcare?
5 answers
Missing data in healthcare datasets arises due to various reasons such as system failures, untimely filing, and hardware issues, leading to inaccurate analysis and decision-making. The presence of missing values hampers the effectiveness of machine learning algorithms in uncovering patterns and insights from healthcare data. Researchers have proposed different imputation approaches like ExtraImpute, ARIMA models, and autoencoders to address missing data challenges in healthcare datasets. These methods aim to predict and fill in missing values accurately to ensure complete and reliable data for healthcare professionals, researchers, and decision-makers. By employing advanced techniques like ensemble learning, time-aware prediction, and multi-modal autoencoders, the healthcare sector can enhance data quality, reduce errors, and improve patient care outcomes.
Material Performance Metrics of the material properties ofLow density polyethylene (LDPE) for packaging?
5 answers
Low-density polyethylene (LDPE) exhibits enhanced properties when incorporated with various additives for packaging applications. LDPE nanocomposites with nanoclay and PE-g-MA show improved oxygen barrier properties without significant changes in other characteristics. Incorporating macca carbon (MC) powder into LDPE enhances far-infrared (FIR) emission, antimicrobial activity, and storage performance, making it suitable for antimicrobial packaging. Blending LDPE with nonacosan-10-ol improves oxygen diffusion control, elastic modulus, and thermal stability, crucial for perishable goods packaging. LDPE composites with montmorillonite (MMT) and silica (SiO2) particles exhibit higher crystallinity, reduced dielectric constants, and improved breakdown field strength, enhancing dielectric properties. Additionally, incorporating LDPE with poly(lactic acid) (PLA) and montmorillonite (MMT) in single-layer films enhances tensile modulus and barrier properties, reducing oxygen permeability and preserving food freshness during storage.
What instructional design should i use in developing mobile app integrated with microlearning and stackable credentials?
5 answers
In developing a mobile app integrated with microlearning and stackable credentials, a design approach that combines innovative methods based on microlearning, personalized self-directed learning, and effective instructional flowis crucial. Utilizing a framework that integrates web-based learning environments, immediate feedback, gamification features, and the creation of learning communitiescan enhance user engagement and motivation. Additionally, incorporating specific design principles such as varied media formats, interactive content, and timely feedbackcan contribute to the app's learning efficacy. Employing a Design-Based Research (DBR) methodologycan guide the iterative process of design, development, evaluation, and reflection to ensure the app meets usability standards and effectively supports learning outcomes. By leveraging modern learning technologies and high-impact learning strategies, the app can provide engaging and effective microlearning experiences for users seeking stackable credentials.