Digital Techniques Research Articles

Effects of magnetic field on the anodic dissolution of alloy 690 in NaCl + Na2S2O3 solution

Purpose The purpose of this paper is to study the anodic dissolution processes of alloy 690 in NaCl + Na2S2O3 solutions by using digital holography. Design/methodology/approach The digital holography technique was used to in situ observe the dynamic processes occurring at the electrode|electrolyte interface during the anodic dissolution of alloy 690 in NaCl + Na2S2O3 solutions, both in the presence and absence of a magnetic field (MF). Findings In 3.5% NaCl + 0.01 M Na2S2O3 solutions, MF inhibited intergranular corrosion (IGC) because it increased the defects in the oxide film and facilitated the uniform adsorption of low concentration of S on these defects due to its stirring effects, which resulted in a weakened adsorption of S at the grain boundaries. Conversely, in 3.5% NaCl + 0.1 M Na2S2O3 solutions, MF promoted IGC by increasing the number of defects in the oxide film, with lots of S species preferentially adsorbing at the grain boundaries. The resultant salt films formed more readily, inhibiting the formation of the oxide film at the grain boundaries. Originality/value Through the use of digital holography, it was possible to in situ observe the initiation of IGC at a single grain boundary and its progression to adjacent grain boundaries, regardless of the presence or absence of MF.

Diachronic and historical evolution of the Al-Hoceima Bay coastline, Moroccan Mediterranean Sea

Al-Hoceima Bay, located on the northern coast of Morocco, holds significant environmental importance. It also faces environmental challenges, including the pressures resulting from urban sprawl and growing number of tourists, as well as the impacts of climate change. The objective of this study is to assess the coastal changes in Al- Hoceima Bay since 1964, considering both natural and human factors. This study is based on the diachronic analysis of aerial photographs taken over a period of 56 years, utilising the digital shoreline analysis system statistical technique to calculate the shoreline’s mobility index for each period. The results demonstrate significant erosion at the Tayth beach (−1.50 m∙y−1) and Souani beach (approximately −1.90 m∙y−1), whereas accretion was experienced at the Sfiha beach at a rate of about +1.11 m∙y−1 and at the Lharch beach at a rate of +0.92 m∙y−1. The mouth of the Nekôr River experienced the highest retreat at −3.15 m∙y−1, followed by Ghiss at −2.00 m∙y−1. These findings indicate the impact of human interventions, such as the construction of the Mohamed Ben Abdelkarim El Khattabi dam on Oued Nekôr since 1981, as well as climate changes that have led to decreased flow, particularly at Oued Ghiss. These combined climatic and anthropogenic impacts have exacerbated erosion and disrupted the sediment balance along the shoreline of Al-Hoceima Bay.

Strain-modulated magnetic droplet precession in spin-torque nano-oscillators

In this paper, we present a promising method for modulating the frequency of magnetic droplets using strain induced by an adjacent piezoelectric layer. This strain results in significant changes in droplet frequency (∼6 GHz) and variations in diameter or mode, while maintaining a fixed current density of 1.4×1012A/m2 under both high and low fields. By applying strain pulses, we successfully modulate the magnetic droplet frequency, paving the way for potential implementation of digital binary frequency shift-keying modulation technique with magnetic droplets. Moreover, the effects of Oersted field and the Zhang-Li torque induced by lateral current have also been discussed, showing a minimal impact on the oscillation frequencies, especially at high fields. Published by the American Physical Society 2024

Pterygoid implant-based maxillary full-arch rehabilitation using an autonomous robot system: A case report.

Pterygoid implant placement has been proven to be a viable option in full-arch implant rehabilitation for extremely atrophic maxillae. Nevertheless, the utilization of pterygoid implants remains a challenge for the dentist due to the difficulties of accessing the surgical site and poor visibility. To address these difficulties, digital techniques have been used to enhance the accuracy of pterygoid implant placement. This clinical case describes the application of an autonomous robot system to enhance the precision and efficacy of pterygoid implant placement. The results demonstrated that the integration of automation and real-time imaging provided by the robot system significantly improved the safety and accuracy of the surgical procedure.

Development of an internet-of-things-based controlled-source ultrasonic audio frequency electromagnetic receiver

Abstract. Electromagnetic exploration, characterized by its low cost, wide applicability, and high operational efficiency, finds extensive applications in fields such as oil and gas exploration, mineral prospecting, and engineering geology. Traditional controlled-source electromagnetic detection methods are typically confined to operating frequencies below 250 kHz, resulting in insufficient detection accuracy for applications such as shallow- and intermediate-depth exploration, thereby constraining their performance in high-resolution imaging. To address these challenges, we propose a controlled-source ultrasonic audio frequency electromagnetic receive system based on the internet of things (IoT). We investigate cascaded digital filtering and sampling techniques to extend the receiver's sampling rate range, thereby elevating the operating frequency of controlled-source electromagnetic acquisition from the conventional maximum of 250 kHz to 1 MHz. The receiver achieves a sampling rate of up to 2.5 MHz, comprising three magnetic field measurement channels and two electric field measurement channels. The instrument is compact, lightweight, and capable of real-time data storage locally and real-time data transmission to an upper computer. Additionally, IoT technology is introduced, leading to the design of a cloud-based real-time remote control and data acquisition scheme. Experimental results demonstrate the stability of the instrument, meeting the requirements of field exploration.

Abstract 4137939: Mosaic loss of Y chromosome is associated with increased all-cause mortality in patients with ST-segment elevation myocardial infarction

Introduction: Mosaic loss of Y chromosome (LOY), a common subtype of somatic mosaicism, is characterized as loss of the entire Y chromosome in a mosaic manner and increases with age. Accumulating evidence has manifested the positive link between LOY and shorter life expectations in elderly men as well as common age-associated diseases, such as cancer and cardiovascular diseases. Experimental studies also demonstrated that hematopoietic LOY in mice induced cardiac fibrosis and led to increased mortality. However, little is known about LOY and prognosis of ST-segment elevation myocardial infarction (STEMI). Hypothesis: We hypothesized that LOY may be associated with lower survival rate of patients with STEMI. Aims: Investigating the impact of LOY in peripheral blood cells on prognosis of patients with STEMI. Methods: This study prospectively enrolled 928 males and 272 females undergoing primary percutaneous coronary intervention for STEMI. LOY was measured in 928 males using droplet digital polymerase chain reaction technique. Results: During a median follow-up of 3.99 years, 93 males (10.0%) and 45 females (16.5%) died. After adjusting for traditional cardiovascular risk factors, the risk of all-cause mortality in males with LOY ≥ 18% (the 90th percentile of LOY) increased to 2.45 (95% confidence intervals [CI]: 1.16–5.15, P = 0.018), 2.11 (95% CI: 1.11–4.01, P = 0.024), and 1.88 (95% CI: 1.02–3.45, P = 0.043) times during 1-, 2-, and 3-year follow-up, respectively, compared to males with LOY < 18%. Among males without prior MI, those with LOY ≥ 18% had an increased risk of all-cause mortality compared to those with LOY < 18% (adjusted hazard ratio 1.93, 95% CI: 1.01–3.67; P = 0.045); this was not observed for males with prior MI. Female patients had a 1.71-fold (95%CI: 1.04–2.81; P = 0.035) increased risk of all-cause mortality than males with LOY < 18%, whereas the risk was similar to males with LOY ≥ 18%. Conclusion: LOY was associated with an increased risk of all-cause mortality in male STEMI patients, particularly in those without prior MI. Detecting LOY in STEMI patients could help further refine sex differences in prognosis and assist in identifying male patients with better prognoses.

Accuracy of different maxillomandibular relationship recording techniques in the edentulous maxillary arch.

This study investigated the effect of three digital bite registration techniques on the accuracy of intraoral scanning in maxillary edentulous and mandibular dentate arches. Maxillary edentulous and mandible fully dentate models were created. Four dental implants were placed in the maxilla, fitted with scan bodies, and reference scans were obtained using a Nikon Altera 10.7.6 scanner. Digital impressions were acquired 10 times for each model using a Trios 4 intraoral scanner. Three different digital bite records were collected for each pair of mandible and maxilla scans. The first one was a bite record without additional material (WSB), the second utilized a silicone index between the models (WSB silicone), and the third followed a pre-preparation scanning protocol (Pre-PREP). The data was exported in standard tessellation language (STL) format, which was assessed for trueness and precision using statistical analysis. According to mean trueness values, WSB exhibited the lowest value, 173 µm, followed by WSB silicone 242 µm and Pre-PREP 620 µm. The differences were significant only when comparing Pre-PREP to WSB and Pre-PREP to WSB silicone (p <0.05). Regarding precision, WSB demonstrated a mean value of 171.5 µm, followed by WSB silicone with 213.8 µm, and Pre-PREP with 222.2 µm with no significant difference between the groups. The presence of interarch bite registration material adversely affected interocclusal record accuracy, while WSB silicone presented a suitable substitute for WSB.

ADVANCES IN BONE REMODELING AND CLEAR ALIGNERS IN ORTHODONTICS

The use of clear aligners in orthodontics represents a significant advancement in dental treatment, allowing effective tooth movement with a less invasive approach compared to traditional fixed appliances. Clear aligners not only facilitate the alignment of teeth but also promote changes in the supporting alveolar bone. The success of these movements relies on the surrounding bone's response to mechanical stress during treatment, involving processes of bone resorption and deposition. Research has demonstrated that advancements in digital technology, such as 3D modeling and artificial intelligence, enhance the planning of tooth movements, making bone remodeling more predictable. Sophisticated algorithms simulate aligner forces on the alveolar bone, optimizing each treatment phase. However, limitations persist in complex cases where specific movements, like extrusion and rotation, require precise force control. Recent studies by Guo et al. (2023) and Abogabal et al. (2023) evaluated the effects of clear aligners on alveolar bone dimensions during orthodontic treatment, finding a greater occurrence of bone defects after treatment. They highlighted the differences in bone height changes between aligners and fixed appliances, indicating that clear aligners might have less impact on bone height. Innovative approaches such as low-intensity pulsed ultrasound (LIPUS) and high-frequency vibration (HFV) have also been investigated for their potential to enhance treatment outcomes. Research indicates that daily vibration may reduce the time required for dental correction while increasing levels of cytokines and markers for bone remodeling. Overall, the integration of digital tools and innovative techniques in orthodontics is crucial for improving treatment efficacy, addressing challenges in complex cases, and ultimately enhancing patient experience and satisfaction.

Antropología forense, conservación y nuevas tecnologías. Aplicación de fotogrametría de rango corto en restos óseos humanos en Córdoba, Argentina

The objective of this work is to contribute to the discussion of the incorporation of new technologies to improve the conservation of human remains, from the implementation of short-range photogrammetry. The study was carried out on human skulls that are under the care of the Institute of Forensic Medicine of the Province of Córdoba, Argentina. Forensic Anthropology and short-range photogrammetry together make up an interdisciplinary field of study where our objective is focused on incorporating new documentation techniques for processing sensible remains and improving the conservation. The incorporation of a digital technique in the practice of this discipline allows us to propose an approach from another perspective to specific problems in this field, allowing the generation of new explanatory possibilities for issues that continually arise during the traditional work of forensic disciplines. In this sense, in the long term, we are interested in generating an information base that in the future will be transformed into a virtual repository with 3D records of human skulls of forensic, bioanthropological, historical and archaeological interest, and in the short term, optimizing the registration and conservation tasks of human remains through their three-dimensional digitization to be able to contribute to the identification and documentation tasks of judicial investigations that enter the institution. On the other hand, we are interested in discussing some ethical concepts focused on the growing digitization of human remains and the care that must be prioritized for their correct diffusion considering that at least in our country there is legislation that protects the exhibition of human remains.

Improving Students' Vocabulary Mastery Through Digital Storytelling Technique at XI MIA2 Class of SMA Negeri 7 Tual

This research aims to improve the mastery of English vocabulary of grade XI MIA2 students at SMA Negeri 7 Tual through digital storytelling techniques. The type of research used is Classroom Action Research (CAR) research which is carried out in two cycles to determine the significant improvement in students' vocabulary mastery after the application of this method. Data collection techniques use tests, questionnaires, observations, documentation. Data analysis was carried out descriptively on all research data. The results of the data analysis showed that the proportion of students who met the minimum completeness criteria increased significantly from the first cycle to the second cycle. The positive response of students to the use of Digital Storytelling in English learning also confirms this finding. Thus, it can be concluded that the Digital Storytelling technique is an effective approach in improving vocabulary mastery and providing a more engaging and interactive learning experience for students

3D Printed Stent from Graphene-Polyethylene Glycol Diacrylate Using Digital Light Processing Technique

Abstract This paper presents the development of the photocurable resin material based on the graphene reinforced polyethylene glycol diacrylate (gPEGDA) for vascular stent fabrication using a commercial 3D printer. 3D printing with digital light processing (DLP) technique is an attractive alternative for low-cost fast fabrication with high accuracy. Four photocurable resin compositions were prepared by mixing PEGDA and varied composition of graphene and the photoinitiator according to the design of experiment of 22 full factorial design. The diphenyl (2,4,6-trimethylbenzoyl) phosphine oxide (TPO) photoinitiator was adopted to meet the required 405 nm UV-light source wavelength of the 3D printer for stent fabrication. Material characterization of the UV-absorbance and viscosity tests were conducted and optimized to obtain resin printability. Mechanical characteristics tests were conducted to obtain the best resin composition for stent application. For this purpose, the tensile tests were conducted according to the ASTM D638 standard using the type-V specimen size. The test specimens were 3D printed with varied UV exposure time 20 and 30 seconds. Finally, the stents were successfully fabricated using a commercial 3D printer DLP with the bottom parameter time setting of 60 seconds, and the UV exposure time of 30 seconds. The resin material was applicable for 3D printing of the stent. The result has shown that 3D printer with DLP technique is suitable for stent fabrication with excellent surface quality. Moreover, the innovative bioresorbable stent materials and fabrication approach could open up new possibilities in the development of medical devices, particularly in the treatment of vascular diseases.

Chaos-based coverage path planning framework for mobile robots and its digital signal processing implementation

Abstract For special coverage path planning, chaos-based mobile robots present a promising solution. The robot can cover the area of interest rapidly with unpredictable trajectories. However, this unpredictability causes difficulties in trajectory control and the robot often makes sharp turns, affecting motion stability. To address these challenges, this paper proposes a universal chaos-based path planning framework for mobile robots. Firstly, a chaotic system that can generate multi-scroll and multi-wing attractors is designed to verify the effectiveness of the framework. Secondly, an integrated system consisting of mobile robots and chaos is proposed to generate chaotic trajectories. By the control parameters in the integrated system, the formation mechanism of continuous chaotic trajectories is shown, which makes the chaotic trajectory have the advantages of scaling, rotating, straightening, and bending, and the path planning no longer relies on the chaotic system only. Then, a regional path planning strategy is proposed to control the angular velocity and workspace of the robot, making its motion smooth and reducing trajectory redundancy. Experiments conducted under this framework have demonstrated its university, with various chaotic systems capable of generating efficient robot trajectories with high coverage rate. Compared with the state-of-the-art similar memoryless algorithms, the coverage task can be accomplished quickly and efficiently by our approach. Finally, the robot trajectory tracking control verifies the controllability of chaotic trajectories, and the implementation of chaotic trajectories with digital signal processing techniques further validates the feasibility of path planning frameworks.

Heart Sound Classification Using Harmonic and Percussive Spectral Features from Phonocardiograms with a Deep ANN Approach

Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide, with a particularly high burden in India. Non-invasive methods like Phonocardiogram (PCG) analysis capture the acoustic activity of the heart. This holds significant potential for the early detection and diagnosis of heart conditions. However, the complexity and variability of PCG signals pose considerable challenges for accurate classification. Traditional methods of PCG signal analysis, including time-domain, frequency-domain, and time-frequency domain techniques, often fall short in capturing the intricate details necessary for reliable diagnosis. This study introduces an innovative approach that leverages harmonic–percussive source separation (HPSS) to extract distinct harmonic and percussive spectral features from PCG signals. These features are then utilized to train a deep feed-forward artificial neural network (ANN), classifying heart conditions as normal or abnormal. The methodology involves advanced digital signal processing techniques applied to PCG recordings from the PhysioNet 2016 dataset. The feature set comprises 164 attributes, including the Chroma STFT, Chroma CENS, Mel-frequency cepstral coefficients (MFCCs), and statistical features. These are refined using the ROC-AUC feature selection method to ensure optimal performance. The deep feed-forward ANN model was rigorously trained and validated on a balanced dataset. Techniques such as noise reduction and outlier detection were used to improve model training. The proposed model achieved a validation accuracy of 93.40% with sensitivity and specificity rates of 82.40% and 80.60%, respectively. These results underscore the effectiveness of harmonic-based features and the robustness of the ANN in heart sound classification. This research highlights the potential for deploying such models in non-invasive cardiac diagnostics, particularly in resource-constrained settings. It also lays the groundwork for future advancements in cardiac signal analysis.

Development of an automated artificial intelligence-based system for urogenital schistosomiasis diagnosis using digital image analysis techniques and a robotized microscope.

Urogenital schistosomiasis is considered a Neglected Tropical Disease (NTD) by the World Health Organization (WHO). It is estimated to affect 150 million people worldwide, with a high relevance in resource-poor settings of the African continent. The gold-standard diagnosis is still direct observation of Schistosoma haematobium eggs in urine samples by optical microscopy. Novel diagnostic techniques based on digital image analysis by Artificial Intelligence (AI) tools are a suitable alternative for schistosomiasis diagnosis. Digital images of 24 urine sediment samples were acquired in non-endemic settings. S. haematobium eggs were manually labeled in digital images by laboratory professionals and used for training YOLOv5 and YOLOv8 models, which would achieve automatic detection and localization of the eggs. Urine sediment images were also employed to perform binary classification of images to detect erythrocytes/leukocytes with the MobileNetv3Large, EfficientNetv2, and NasNetLarge models. A robotized microscope system was employed to automatically move the slide through the X-Y axis and to auto-focus the sample. A total number of 1189 labels were annotated in 1017 digital images from urine sediment samples. YOLOv5x training demonstrated a 99.3% precision, 99.4% recall, 99.3% F-score, and 99.4% mAP0.5 for S. haematobium detection. NasNetLarge has an 85.6% accuracy for erythrocyte/leukocyte detection with the test dataset. Convolutional neural network training and comparison demonstrated that YOLOv5x for the detection of eggs and NasNetLarge for the binary image classification to detect erythrocytes/leukocytes were the best options for our digital image database. The development of low-cost novel diagnostic techniques based on the detection and identification of S. haematobium eggs in urine by AI tools would be a suitable alternative to conventional microscopy in non-endemic settings. This technical proof-of-principle study allows laying the basis for improving the system, and optimizing its implementation in the laboratories.

Enhanced Computer-Aided Digital Imaging Technique for Predictions in Breast Cancer

Background: Breast cancer (BRCA) is the most frequently diagnosed cancer in women, with a rise in occurrences and fatalities. The field of BRCA prediction and diagnosis has witnessed significant advancements in recent years, particularly emphasizing enhanced computer-aided digital imaging techniques, and has emerged as a powerful ally in the prediction of BRCA through histopathology image analysis. A number of approaches have been suggested in recent years for the categorization of histopathology BRCA images into benign and malignant as it examines the images at cellular level. The histopathology slides must be manually analysed which is time consuming and tiresome and is prone to human error. Additionally, different laboratories occasionally have different interpretation of these images. Methods: This paper focuses on implementing a framework for Computer-Aided digital imaging technique that can serve as a decision support. With recent advancements in computing power the analysis of BRCA histopathology image samples has become easier. Stain normalization (SN), segmentation, feature extraction and classification are the steps to categorize the cancer into benign and malignant. Nuclei segmentation is a crucial step that needs to be taken into account in order to establish malignancy. These are considered essential for early diagnosis of BRCA. A unique method proposed for BRCA prediction is put forward. To maximize the prediction accuracy, the suggested method is integrated with machine learning (ML) techniques and clinical data is used to evaluate the suggested approach. Results: This strategy is adaptable to many cancer types and imaging techniques. The suggested technique is applied to clinical data and is integrated with logistic regression and K-Nearest Neighbor resulting in accuracy of 92.10% and 86.89% respectively for BRCA histopathology images. Conclusion: The objective of this work is to validate the proposed model which takes input as feature pattern for a given label. For the collected clinical samples, the model is able to classify the input as benign or malignant. The proposed model worked efficiently for different BC datasets and performed classification task successfully. Integrating mathematical model (MM) with ML model for interpreting histopathology BRCA is a potential area of research in the field of digital pathology.

D5 digital circular workflow: five digital steps towards matchmaking for material reuse in construction

The intersection of digital transformation and circular construction practices presents significant potential to mitigate environmental impacts through optimised material reuse. We propose a five-step (D5) digital circular workflow that integrates these digital innovations towards reuse, validated through real-world case studies. We assessed a variety of digital tools for enhancing the reuse of construction materials, including digital product passports, material classification assisted by artificial intelligence (AI), reality capture, computational design, design inspired by generative AI, digital fabrication techniques, extended reality, and blockchain technology. Using action research through a multiple case study approach, we disassembled several buildings that were set for demolition and subsequently designed and executed construction projects using the salvaged materials. Our findings indicate that digital transformation for detection, disassembly, distribution, design, and finally deployment significantly support the application of circular economy principles. We demonstrate the potential of the proposed workflow for industry implementation and scalability.

Evaluation of the Bond Strengths Between Dental Ceramics and Co-Cr Frameworks Made with Digital and Conventional Techniques.

Evaluate the influence of different Co-Cr framework manufacturing techniques on the bond strength between metal and two types of veneering ceramic with and without a metal primer. 72 metal specimens were fabricated using the same Co-Cr alloy (Keramit NP; Nobil Metal) with three different techniques: ingots for casting (Keramit NP); disks for CAD/CAM milling (Synergy Drive Keramit NP); and powder for SLM (Keramit NP-S). Each of the 24-specimen groups, was divided into two subgroups, according to the application, or not, of Nobil Metal Bonding (NMB) (Nobil Metal). Two different veneering ceramic systems were used: Ceramco iC (Dentsply) and Noritake super porcelain EX-3 (Noritake). The bond strength of the metal-ceramic system was evaluated using the three-point bending test and the modality of failure with SEM analysis. Three-way Anova with interactions was used to evaluate the influence of the metal production process, the presence or absence of the bonding agent and the type of veneering ceramic on ceramic-metal adhesion. All specimens exceeded the minimum bond strength of 25 MPa required by ISO Standard 9693 - 1:2012. The highest values of adhesion were registered for specimens manufactured with casted metal/Noritake veneering ceramic (40.59 ± 7.30 MPa). The lowest values were registered for specimens manufactured with CAD/CAM metal/NMB/Ceramco iC veneering ceramic (29.47 ± 3.38 MPa). The fabrication method and the type of veneering ceramic had a significant influence on the mean bond strength. The application of the NMB did not show an influence on bond strength.

DSCIMABNet: A novel multi-head attention depthwise separable CNN model for skin cancer detection

Skin cancer is a common type of cancer worldwide. Early diagnosis of skin cancer can reduce the risk of death by increasing treatment success. However, it is challenging for dermatologists or specialists because the symptoms are vague in the early stages and cannot be noticed by the naked eye. This study examines digital diagnostic techniques supported by artificial intelligence, focusing on early skin cancer detection and two methods have been proposed. In the first method, DSCIMABNet deep learning architecture was developed by combining multi-head attention and depthwise separable convolution techniques. This model provides flexibility in learning the dataset's local features, abstract concepts, and long-term relationships. The DSCIMABNet model and modern deep learning models trained on ImageNet are proposed to be combined with the ensemble learning method in the second method. This approach provides a comprehensive feature extraction process that will increase the performance of the classification process with ensemble learning. The proposed approaches are trained and evaluated on the ISIC 2018 dataset with image enhancement applied in preprocessing. In the experimental results, DSCIMABNet achieved 84.28% accuracy, while the proposed hybrid method achieved 99.40% accuracy. Moreover, on the Mendeley dataset (CNN for Melanoma Detection Data), DSCIMABNet achieved 92.58% accuracy, while the hybrid method achieved 99.37% accuracy. This study may significantly contribute to developing new and effective methods for the early diagnosis and treatment of skin cancer.

Crispy squid product development (Case Study: PT. Cupa-Cupa Snack) Pangandaran Regency

PT Cupa-Cupa Snack is a company in Pangandaran that processes fishery products into snack products, one of which is crispy squid. The number of crispy squid producers in Indonesia is a challenge for companies to develop products to produce innovations that suit market needs and maintain competitiveness. The purpose of this study was to analyze the product development carried out by the cupa-cupa snack company. The study was conducted from August to October 2024. The research method used was the survey method, with interview techniques and observations of crispy squid products that were analyzed descriptively and qualitatively. The results showed that the company has developed in various aspects, such as the addition of raw material suppliers from various regions, the use of faster and more modern production equipment and processes, changing the formulation of non-msg additives that are safe for consumption, using quality aluminum foil packaging, increasing flavor variants, and business-to-business marketing that maintains good and consistent digital presence techniques on various social media, such as Instagram, Facebook, and TikTok, to increase market share and company competitiveness.

Lithium disilicate, full coverage crowns: what is the effect of using conventional impressions compared to digital impression with respect to the internal fit of the restoration? A systematic review.

Digital dentistry provides an alternative to fabrication of crowns. This systematic review focuses on the accuracy of the mean internal space of lithium disilicate crowns when comparing intraoral scanning to conventional impressions. Ovid Medline, Cochrane and PUBMED were searched and the review protocol followed the International Prospective Register of Systematic Reviews (PROSPERO) (CRD42023379908) and guided by The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Cohen Kappa coefficient confirmed the agreement of data. The revised Cochrane Risk of Bias tool was utilised to evaluate randomised controlled trials The Methodological Index for non-randomised controlled trials. Of the six in vivo studies, three concluded that digital techniques improved the internal fit over their conventional counterparts. Two found that there was no significant difference and one indicated that digital technique resulted in an inferior internal fit. Of the eight in vitro studies, two concluded digital techniques to be superior, two found digital techniques to be inferior and four found no significant difference. Significant heterogeneity between studies limits the potential any systematic review of the internal fit of dental crowns when comparing conventional and optical impressions. This systematic review indicates digital methodology is comparable to that of conventional impressions.