There is no current consensus on the parameters that determine the difficulty of mandibular third molar extraction in terms of the time required, which is essential to prevent complications and optimize the time of the intervention. This study aims t...
Extraction of mandibular third molars is a common procedure in oral and maxillofacial surgery. There are studies that simultaneously predict the extraction difficulty of mandibular third molar and the complications that may occur. Thus, we propose a...
Background/Objective: This study aimed to develop an AI-supported clinical tool to evaluate the difficulty of mandibular third molar extractions based on panoramic radiographs. Methods: A dataset of 2000 panoramic radiographs collected between 2023 a...
Background/Objectives: Ureteral stents are indispensable tools in contemporary urological practice; however, their prolonged indwelling is frequently associated with a spectrum of complications. This study aims to evaluate the correlation between ind...
Background: Numerous studies in the literature have aimed to evaluate the difficulty level of removing third molars. However, most of these studies have focused on the lower third molars, which can lead to complications. There is a lack of a method t...
Background: Transvenous lead extraction (TLE) should be completed, even when facing difficulties which have yet to be described. The aim was to explore unexpected TLE obstacles (the circumstances of the occurrence and influence on TLE outcome). Metho...
The high frequency and complexity of mandibular third molar (M3M) surgery have led several authors to the development of classification systems for better evaluation and management in oral surgery. This study compared the classifications of Juodzabal...
Background: Current telemedicine approaches lack standardised procedures for the remote assessment of axial impairment in Parkinson’s disease (PD). Unobtrusive wearable sensors may be a feasible tool to provide clinicians with practical medical...
Background: Implantable cardioverter-defibrillator (ICD) leads are considered a risk factor for major complications (MC) during transvenous lead extraction (TLE). Methods: We analyzed 3878 TLE procedures (including 1051 ICD lead extractions). Results...
Background: Experience with the transvenous extraction of leads used for His bundle pacing (HBP) is limited. Methods: Analysis of 3897 extractions including 27 HBP and 253 LVP (left ventricular pacing) leads. Results: The main reason for HBP lead ext...
We present a critical examination of the difficulties with the quantum versions of a lifted weight that are widely used as work storage systems in quantum thermodynamics. To overcome those difficulties, we turn to the strong connections between infor...
Background: Untreated impacted wisdom teeth can lead to complications, including delayed healing and inferior alveolar nerve damage. Delayed management is further complicated by age-related comorbidities. Aim: This study aimed to evaluate the managem...
Background/Objectives: Endodontic treatment quality can be graded from A to D according to international standards. This study aimed to evaluate radiographic treatment success of high-standard endodontic treatments (Grade A). A secondary aim was to a...
(1) Background: Transvenous lead extraction (TLE) can become far more complex when unanticipated difficulties arise. The aim was to develop a simple scoring system that allows for the prediction of the difficulty and complexity of this significant pr...
This study examined the effects of general anesthesia on the postoperative pain level after third molar extractions compared to local anesthesia. This retrospective study included patients who underwent four simultaneous third molar extractions under...
Current research on knowledge graph construction is focused chiefly on general-purpose fields, whereas constructing knowledge graphs in vertically segmented professional fields faces numerous difficulties. To solve the problems of complex relation ty...
The possibility of extraction of metals from ores of different genesis, containing low-dimensional structures of rare and noble metals, increases their commodity value and, in a deficit for some types of metals, leads to the need to search and develo...
Fault early warning is a challenge in the field of operation and maintenance. Considering the improvement of accuracy and real-time standards, as well as the explosive growth of operation and maintenance data, traditional manual experience and static...
Naturally durable wood pre-dates preservative-treated wood and has been demonstrated to offer a suitable service life for certain applications where preservative-treated wood is not feasible. Heartwood extractives have been demonstrated to impart bio...
Due to its potential use in the production of new functional resins, bio-plastics, food additives, agrochemicals, and pharmaceuticals, muconic acid (MA), a high value-added bio-product with reactive dicarboxylic groups and conjugated double bonds, ha...
Background: The study aimed to describe the phenomenon of leads migrated (MPLE) into the cardiovascular system (CVS). Methods: Retrospective analysis of 3847 transvenous lead extractions (TLE). Results: Over a 17-year period, 72 (1.87%) MPLEs (median...
To overcome the difficulty of extracting the feature frequency of early bearing faults, this paper proposes an adaptive feature extraction scheme. First, the improved intrinsic time-scale decomposition, proposed in this paper, is used as a noise redu...
Radiological classification systems are widely used to estimate the difficulty of mandibular third molar extraction, yet their ability to predict patient-centered outcomes remains uncertain. This study investigated whether radiological predictors of...
The therapeutic efficacy of a drug or its unexpected unwanted side effects may depend on the concurrent use of a medicinal plant. In particular, constituents in the medicinal plant extracts may influence drug bioavailability, metabolism and half-life...
With the development of the Internet, vast amounts of text information are being generated constantly. Methods for extracting the valuable parts from this information have become an important research field. Relation extraction aims to identify entit...
The stereotype that children who are more able solve tasks quicker than their less capable peers exists both in and outside education. The F > C phenomenon and the distance–difficulty hypothesis offer alternative explanations of the time needed to...
Due to their particular structural characteristics, the extraction and isolation of saponins from plants present a serious challenge. In this study, specific extraction protocols were first implemented to extract the secondary metabolites from Astrag...
Background/Objectives: Rhodiola rosea L. (Crassulaceae), a perennial adaptogenic herb native to Northern Europe, Asia, and North America, is renowned for its therapeutic properties attributed to phenolic compounds including flavonoids, phenyleth...
Clinical training at Japanese nursing universities has an increasing need for individualized learning support for students with potential learning disabilities. Despite a high interest in student support, educators’ difficulties are neglected....
In this paper, a low-temperature thick oil demulsifier with high polarity was prepared by introducing ethylene oxide, propylene oxide block, and butylene oxide using m-diphenol as a starting agent. The main reasons for the difficulty involved in the...
Sheep detection and segmentation will play a crucial role in promoting the implementation of precision livestock farming in the future. In sheep farms, the characteristics of sheep that have the tendency to congregate and irregular contours cause dif...
13 December 2020
Homecare nurses manage patients with extreme homecare dependence through interprofessional collaboration. The quality of the collaboration depends on situations, and the difficulties of homecare nurses are complicated in rural settings because of a f...
General target detection with deep learning has made tremendous strides in the past few years. However, small target detection sometimes is associated with insufficient sample size and difficulty in extracting complete feature information. For safety...
To address the difficulty of extracting the features of composite-fault signals under a low signal-to-noise ratio and complex noise conditions, a feature-extraction method based on phase-space reconstruction and maximum correlation Re’nyi entro...
This paper focuses on the difficulties that appear when the number of fault samples collected by a permanent magnet synchronous motor is too low and seriously unbalanced compared with the normal data. In order to effectively extract the fault charact...
Flavonoid compounds have a variety of biological activities and play an essential role in preventing the occurrence of metabolic diseases. However, many structurally similar flavonoids are present in foods and are usually in low concentrations, which...
4 March 2022
The COVID-19 pandemic has caused many new problems and challenges for medical personnel, patients and their families. The present study aimed to learn the difficulties and expectations of patients hospitalized for COVID-19. A descriptive qualitative...
Building extraction is an important way to obtain information in urban planning, land management, and other fields. As remote sensing has various advantages such as large coverage and real-time capability, it becomes an essential approach for buildin...
One major difficulty of parameter extraction for an equivalent circuit lies in applying an optimization algorithm to efficiently approach the global minimum. Traditional genetic algorithm (GA) is able to find the global minimum but it has very low co...
In target detection of optical remote sensing images, two main obstacles for aircraft target detection are how to extract the candidates in complex gray-scale-multi background and how to confirm the targets in case the target shapes are deformed, irr...
Rotor fault diagnosis has attracted much attention due to its difficulties such as non-stationarity of fault signals, difficulty in fault feature extraction and low diagnostic accuracy of small samples. In order to extract fault feature information o...
With the rapid development of the Internet, and its enormous impact on all aspects of life, traditional financial companies increasingly focus on the user’s online reviews, aiming to promote competitiveness and quality of service in the product...
With the development of information extraction technology, a variety of entity-relation extraction paradigms have been formed. However, approaches guided by these existing paradigms suffer from insufficient information fusion and too coarse extractio...
Cross-Domain Few-Shot Learning (CD-FSL) aims to empower machines with the capability to rapidly acquire new concepts across domains using an extremely limited number of training samples from the target domain. This ability hinges on the model’s...
This study was a cross-sectional study to examine problematic mealtime behaviors among children with autism spectrum disorder (ASD) in Florida. Forty-one parents completed a 48-item survey. The mean age of their children was 8.1 years and 73% were ma...
In real-world scenarios, large-scale datasets often exhibit a long-tailed data distribution. Training deep neural networks on such data typically leads to a bias towards head classes. Existing studies have demonstrated that the reweighting strategy i...
Evaluating the difficulty of endotracheal intubation during pre-anesthesia assessment has consistently posed a challenge for clinicians. Accurate prediction of intubation difficulty is crucial for subsequent treatment planning. However, existing diag...
Aiming to address the problems of scale uncertainty, feature extraction difficulty, model training difficulty, poor real-time performance, and sample imbalance in low-resolution images for gender recognition, this study proposes an efficient pedestri...
This paper presents a novel EEG-based learning system designed to enhance the efficiency and effectiveness of studying by dynamically adjusting the difficulty level of learning materials based on real-time attention levels. In the training phase, EEG...
Background/Objectives: Up to 95% of cancer patients report sleep disturbances or disorders. These can potentially influence cancer development and outcomes. This study aimed to review the existing literature to understand the patient experience of ca...
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