Digital Analysis Method Research Articles

Modern methods of personal identification

The article presents a review of current scientific research of using digital computer technology in the practical dental identification, analyzes the main problems of their implementation and actual use. Modern aspects of diagnostics and complex planning of identification research are aimed at increasing the efficiency of solving complex medico-legal issues. The application of digital dental technologies has improved the effectiveness of the process of human identification, as well as the reliability of the provided forensic evidence. Significant advantages of the digital photo and X-ray analysis methods in comparison with traditional ones, as well as the advantages of digital facial 3D-reconstruction and dental identification, indicate the potential benefits of using artificial intelligence technology in order to improve the solution of identification tasks. At the same time, data provided by the specialized literature reveal the imperfections of intelligent methods related to discrimination, transparency, accountability, privacy, data security, ethical standards and other important aspects. In this regard, opinions are expressed about the need to partially limit, up to complete rejection of the use of intelligent computer systems to formulate final conclusions and make final decisions on the results of expert studies. In spite of this, leading specialists of the industry are more and more often cautiously declaring the inevitability of virtual evolution of self-developing artificial intelligence systems designed for autonomous existentialism. Referring to the data of modern scientific research, it is worth noting the growing interest of the scientific community in the issues of implementing digital innovative solutions to ensure the effective solution of everyday scientific and practical tasks. Thus, the potential for the successful application of digital technologies to solve the problems of personal identification and improve the quality of forensic evidence provided remains quite promising.

Digital Analysis Methods in Business-Processes and Projects in Digital Twins at Investment-Construction Companies

The article analyzes modeling of investment-construction company work from graph models to digital analogues. Such analysis is necessary in order to build economically grounded twin of the investment-construction company. The need to use advanced digital methods of business-analysis in conditions of real time was substantiated. It was demonstrated that elaboration of digital methods of business-analysis in projects and business-processes in investment-construction work is acute and leans against numerous factors. They are as follows: positive overseas experience in projecting and controlling processes; adjustment of this experience to specific features of project and business-process organization in Russia; use of digital imitation models of investment-construction enterprise in conditions of real time; introduction of digital methods of strategic and operative business-analysis of projects and business-processes into imitation model and digital twins at investment-construction enterprises; use of promising digital technologies in digital methods of business-analysis in projects and business-processes, for instance, analysis of big data, artificial neuron nets, cloud technologies, internet of things, virtual reality, augmented reality, technologies of register distribution, automation and robotics of business-processes, etc. Typical features of digital analysis built in digital twin for effective decision-making in management were identified. The article provided results of modeling visualization and digital analysis of business-processes.

Reliability and accuracy of Artificial intelligence-based software for cephalometric diagnosis. A diagnostic study

BackgroundArtificial intelligence (AI) is revolutionizing cephalometric diagnosis in orthodontics, streamlining the patient assessments. This study aimed to assess the reliability, accuracy, and time consumption of artificial intelligence (AI)-based software compared to a conventional digital cephalometric analysis method on 2D lateral cephalogram.Methods408 lateral cephalometries were analysed using three methods: manual landmark localization, automatic localization, and semi-automatic localization with AI-based software. On each lateral cephalogram, 15 variables were selected, including skeletal, dental, and soft tissue measurements. The difference between the two AI-based software options (automatic and semi-automatic) was compared with the conventional digital technique. The time required to produce a complete cephalometric tracing was evaluated for each method using Student’s t-test.ResultsStatistically significant differences in the accuracy of landmark positioning were detected among the three different techniques (p < 0,01). However, it is noteworthy that almost all of these differences were not clinically significant. There was a small difference in accuracy between the semi-automatic AI-based option and conventional digital techniques. Regarding the time used for each technique, the automatic version was the fastest, followed by the semi-automatic option and the conventional digital technique. (p < 0,000).ConclusionsThe study showed a statistical difference in accuracy between the conventional digital technique and two AI-based software alternatives, but these differences were not clinically significant except for specific measurements. The semi-automatic option was more accurate than the automatic one and faster than conventional tracing. Further research is needed to confirm AI’s accuracy in cephalometric tracing.

DIGITAL TRANSFORMATION OF PENSION PROVISION IN RUSSIA

The article explores the issues of digital transformation of the pension system in the context of the existing tax system. The article presents additional ways to increase the level of well-being of pensioners, people with disabilities by attracting modern methods of digital analysis of the accumulated information of large databases. The article proposes the formation of legislative initiatives regulating additional measures to support pensioners and disabled people based on the concept of traditional family values. A set of measures for digital security and targeted financial assistance to low-income people has been proposed.

COMPARISON OF FREEWAY SPACE DISTANCE OF WILLIS METHOD WITH DIGITAL PHOTO ANALYSIS METHOD IN BANJAR TRIBE

Background: The face's vertical dimension or vertical height is the distance between two anatomical points, namely the points on the maxilla and mandible. In measuring the vertical dimension, vertical dimensions of rest (DVR) and vertical dimensions of occlusion (DVO) must be measured. The difference between the vertical dimension of rest (DVR) and the vertical dimension of occlusion (DVO) is called the freeway space (FWS) or interocclusal distance. Freeway space is a key requirement for optimal comfort and function of a partial or complete denture. Each individual's freeway space distance is the movement of muscle function, which can be measured by direct methods such as the Willis method using calipers and the digital photo analysis method using computer software. Two measurement methods can be used to measure freeway space distance direct and indirect. Purpose: To analyze the difference between freeway space distance measured by the Willis method and by digital photo analysis of Adobe Photoshop and Corel Draw graphic design software in the Banjar tribe (a review of students at the Faculty of Dentistry, Universitas Lambung Mangkurat Banjarmasin). Methods: This study is a quantitative study with an analytic observational method and a cross-sectional approach. This study was conducted by collecting data simultaneously at one time by comparing three different methods on the same sample without being given any treatment. Results: One Way ANOVA test is 0.296 (P&gt;0.05) which means there is no significant difference. Conclusion: There is no significant difference between the results of measuring freeway space distance using the Willis method with a digital caliper and digital photo analysis with Adobe Photoshop and Corel Draw software.

MULTI-CHANNEL MUELLER-MATRIX TOMOGRAPHY AS A METHOD OF DETERMINING THE VOLUME OF BLOOD LOSS IN FORENSIC MEDICAL PRACTICE

In connection with the extreme urgency of determining the volume of blood loss during the forensic examination of a corpse, the authors proposed a modern digital analysis method - multichannel Muller matrix tomography of human biological tissues. Aim of the work. To develop a complex of forensic criteria for accurate determination of the volume of blood loss using the method of multichannel polarization Müller-matrix tomography of histological sections of structured biological tissues (rectus abdominis muscle, skin). Material and methods. For the study, rectus abdominis muscle and skin samples were taken from 85 deceased individuals aged 18 to 56 years with varying degrees of blood loss. The results. The proposed method of researching changes in the values ​​of linear birefringence of fibrillar structures of the rectus abdominis muscle and skin of of cadavers as a result of acute internal and external blood loss showed the possibility of accurate determination within the volume of 0±2000 mm3. Conclusions. The method of multichannel differential Müller-matrix tomographic reproduction of a set of linear birefringence maps and histograms of distributions of random values ​​of the structural anisotropy parameter of histological sections of the rectus abdominis muscle and skin of the dead with different degrees of blood loss is sensitive within ΔV=0mm3÷2500mm3. The accuracy ranges of the multi-channel tomographic reproduction of LD maps within the range of ΔV=0mm3÷1000mm3 ↔86%-92% have been determined.

On-Chip Capture, Raman-Silent Polymer Labeling, and Digital Mapping Analysis of Escherichia coli O157:H7 in Beverages All-in-One.

Escherichia coli O157:H7 is one of the most susceptible foodborne pathogens, easily causing food poisoning and other health risks. It is of great significance to establish a quantitative method with higher sensitivity and less time consumption for foodborne pathogens analysis. The Raman-silent signal has a good performance for avoiding interference from the food matrix so as to achieve accurate signal differentiation. In this work, we presented a preparation-mapping all-in-one method for digital mapping analysis. We prepared a functionalized Raman-silent polymer label of Escherichia coli O157:H7, which was captured on a porous 4-mercaptophenylboric acid@Ag foam chip. To improve accuracy and widen the detection range, a digital mapping quantitative strategy was employed in data extraction and processing. By transfer mapping information into digitized statistical results, the limitation of obtaining reproducible intensity values just by randomly selected spots on the substrate can be addressed. With a wide linear range of 1.0 × 101-1.0 × 105 CFU mL-1 and a limit of detection of 4.4 CFU mL-1, this all-in-one method had good sensitivity performance. Also, this method achieved good precision and selectivity in a series of experiments and was successfully applied to the analysis of beverage samples.

Информативность геоморфологических и изотопно-геохимических методов при оценке газоносности территории (на примере Ангаро-Ленской нефтегазоносной области)

The paper examines the geochemical method's effectiveness for assessing the gas potential of territories and prospecting for natural gas fields in combination with data on a territory's neotectonic activity obtained from the digital elevation model analysis in the Eastern Siberia area. Geochemical data include the content of methane and its homologues (C1 – C6), determined by gas chromatography in subsoil samples, as well as the carbon isotope ratio (δ 13C) of the detected methane, measured on an isotope mass spectrometer. The reconstruction of neotectonic activity areas was carried out using a modified morphometric method of digital elevation model analysis. Estimates of the macroscopic fracturing of the sedimentary cover, also caused by neotectonic activity, were obtained from the digital elevation model as the density of lines – primary linear objects expressed in relief, identified using the method of A. A. Zlatopolsky. The information obtained from the digital elevation model allows to identify areas where the probability of gas fields destruction is the highest. A joint analysis of isotope-geochemical data and information on the probable hydrocarbon deposits destruction makes it possible to assess the prospects for the territory's gas content, as well as identify promising areas.

INDEX-BASED ASSESSMENT ALGORITHM FOR ORAL HYGIENE IN WEARERS OF FIXED DENTAL BRIDGES

Introduction: The study focuses on the importance of maintaining oral hygiene, especially in wearers of fixed dental bridge. The impact of inadequate oral hygiene care on the development of dental diseases and the necessity for developing effective methods for its assessment are examined. Research objective: The aim of this study is to refine the fluorescent diagnostic method in orthopedic dentistry and to develop an index for assessing the hygienic status of natural teeth and fixed dental prostheses through an in vivo experiment. This method is intended to improve the diagnosis of oral conditions in wearers of fixed prostheses, ultimately enhancing the quality of their orthopedic treatment. Materials and methods: The study is based on the application of fluorescent diagnostics using Rhodamine B dye, which, when exposed to ultraviolet light, allows for the detection of dental deposits. The technique involves treating the surfaces of teeth and prostheses with a special solution that enhances the visibility of dental plaque under ultraviolet illumination. Research results: The experimental results demonstrated the high efficiency of the fluorescent method in detecting dental deposits both on the enamel of natural teeth and on the ceramic surface of fixed dentures. The digital analysis method allows for obtaining specific graphical indicators of the biofilm area, enhancing the relevance of an individual approach. Conclusions: Conclusions: The experimental study confirmed the high efficiency of the refined fluorescent method for assessing the hygienic status of the oral cavity, applicable to both natural teeth and fixed orthopedic constructions. This technique enables accurate assessment of hygiene status, facilitating effective prevention of dental diseases and optimization of treatment procedures. The method is convenient to use, and the software is accessible for clinicians. Further observations on the outcomes of this technique in patients with various orthopedic profiles are planned to expand its applicability.

Fluidization characteristics of loaded vibrating fluidized bed and dewatering and deashing effect of moist fine-grained coal

ABSTRACT The influence of a thermal vibrating fluidized bed on the dewatering and deashing effect of moist fine-grained coal was investigated by digital image processing and signal analysis methods. Comparative analysis results of the pressure signals of a loaded vibrating fluidized bed indicated that high or low gas velocity and strong or weak vibration conditions easily caused the formation of numerous irregular bubbles and contributed to violent fluctuations in the bed. An interaction between gas velocity and vibration energy was found, with vibration energy being the dominant factor influencing the bubble behavior at low gas velocities. Moreover, at high gas velocities, the advantages arising from vibrations were weakened. Under the condition of f = 20 Hz, A = 2 mm, v = 18 cm⋅s−1, the contact efficiency between the gas – solid two phases was higher, and the pressure fluctuation of the bed became more stable. Under this condition, the ash content of clean coal and the moisture removal rate were 11.76% and 83.54%, respectively. Finally, comparison and analysis of the influence of different parameters on the calorific value of clean coal revealed that the influence of each parameter on heat generation of the selected product was found to be in the following order: f > A > V > T.

Effect of Luting Materials on the Accuracy of Fit of Zirconia Copings: A Non-Destructive Digital Analysis Method.

The marginal accuracy of fit between prosthetic restorations and abutment teeth represents an essential aspect with regard to long-term clinical success. Since the final gap is also influenced by the luting techniques and materials applied, this study analyzed the accuracy of the fit of single-tooth zirconia copings before and after cementation using different luting materials. Forty plaster dies with a corresponding zirconia coping were manufactured based on a single tooth chamfer preparation. The copings were luted on the plaster dies (n = 10 per luting material) with a zinc phosphate (A), glass-ionomer (B), self-adhesive resin (C), or resin-modified glass-ionomer cement (D). The accuracy of fit for each coping was assessed using a non-destructive digital method. Intragroup statistical analysis was conducted using Wilcoxon signed rank tests and intergroup analysis by Kruskal-Wallis and Mann-Whitney U tests (α = 0.05). Accuracy of fit was significantly different before/after cementation within A (0.033/0.110 µm) and B (0.035/0.118 µm; p = 0.002). A had a significantly increased marginal gap compared to C and D, and B compared to C and D (p ≤ 0.001). Significantly increased vertical discrepancies between A and B versus C and D (p < 0.001) were assessed. Of the materials under investigation, the zinc phosphate cement led to increased vertical marginal discrepancies, whereas the self-adhesive resin cement did not influence the restoration fit.

Behaviors of triaxial woven fabric composites reinforced concrete cylinders under eccentric compression

Concrete reinforced by textile composite materials has long been a focus of substantial interest in the engineering applications. In this paper, the compression performance of concrete cylinders confined by carbon fibers, glass fibers, and carbon–glass hybrid triaxial woven fabric composites under three different eccentricities were investigated. Moreover, the digital image correlation analysis method was introduced to observe the compression process and failure modes of reinforced concrete cylinders. Meanwhile, the strain process of yarns during the failure was also analyzed. The result showed that all of triaxial woven fabric composites can increase the strength of concrete cylinders, while the strength decreased with the increase of eccentricity and the mechanical performance converged gradually. In addition, using triaxial woven fabric composites made of glass fibers can promote the ductility of concrete cylinders. It also indicated that employing carbon–glass hybrid triaxial woven fabric composites can not only have the advantages of increasing the strength and ductility of concrete cylinders, and low cost, but also effectively reduces the eccentric sensitivity.

Revealing the compound interrelationships toward sustainable transition in semiconductor supply chain: A sensitivity analysis

This study provides specific guidelines for allocating resources by determining the positive and negative interrelationships as well as the sensitive criteria and factors of the semiconductor supply chain. However, revealing these compound interrelationships enables the semiconductor supply chain to accelerate the sustainable transition effectively and efficiently. Previous studies have introduced the sustainable transition without considering the compound interrelationships for guiding the semiconductor supply chain. The proposed hybrid digital twin sensitivity analysis method used in this study integrates clustering, machine learning, a cloud model, and the Monte Carlo simulation method. The contributions of the study are as follows: (1) the discovered factors strengthen the theoretical basis of the sustainable transition; (2) the proposed hybrid method reveals compound interrelationships by utilizing insufficient data; and (3) these compound interrelationships are presented in a visual diagram to provide guidelines for allocating resources to promote the sustainable transition. In practice, the total chromium and power consumption are the sensitive criteria influencing sustainable finance; technological innovations are influenced by the revenue and production area.

Investigation of Ki67 and Phospho-Histone H3 Expressions in Urothelial Carcinoma of the Bladder by Immunohistochemical Method.

In our study, it is aimed to investigate the relationship between Ki67 and phospho-histone H3 (pHH3) expressions in bladder urothelial carcinomas, with clinicopathological parameters and survival, which have prognostic value. The study included 44 cases of high-grade urothelial carcinoma (HGUC), 37 cases of low-grade urothelial carcinoma (LGUC), and 11 nontumoral bladder cases. Ki67 and pHH3 were applied to the paraffin blocks of the tissues of 81 urothelial carcinoma and 11 nontumoral bladder cases by immunohistochemical method.Percentages of Ki67 and pHH3 expressions were evaluated by digital imaging analysis method. Expression percentages were compared with various clinicopathological parameters, and the relationship between them was evaluated. Ki67 was expressed in 28% of urothelial carcinoma cases and 1% of nontumoral cases. pHH3 was expressed in 10.32% of urothelial carcinoma cases and 0.16% of nontumoral cases. In our study, we found significantly higher Ki67 and pHH3 expressions in urothelial carcinoma compared to nontumoral cases. There was a statistically significant relationship (p < 0.05) and a positive correlation between Ki67 expression and lymphovascular invasion, pT stage, and histological grade. A statistically significant relationship (p < 0.05) and a positive correlation were found between pHH3 expression and lymphovascular invasion, pT stage, recurrence, and histological grade. In addition, a statistically significant relationship was found between Ki67 and pHH3 expressions. In our study, survival was found to be low in high-grade urothelial carcinoma cases with lymphovascular invasion, advanced age (65 years and older), and high Ki67 and pHH3 expression rates. According to our findings, high Ki67 and pHH3 expressions were found to be associated with poor prognostic parameters such as advanced pathologic stage, high histologic grade, and low survival.Our findings suggest that Ki67 and pHH3 may play a role in the differentiation, progression, and aggressive behavior of urothelial carcinoma. However, further studies are needed to confirm our findings and determine the role of these markers in urothelial carcinoma.

Reef fish identification through image records using artificial intelligence and convolutional neural network system

Coral reef environments show great diversity and abundance of species that represent important biological resources for obtaining food and medicines, in addition to acting as bioindicators of the quality of reef environments, serving as a parameter to diagnose environmental impacts and, simultaneously, to evaluate the availability and use of fishing stocks and biological resources in such environments. Monitoring such ecosystems arises from the urgent need to better understand the natural geographic and environmental variability of these systems, as well as their main drivers of change, to inform and promote more effective management of such environments. With the growing need to monitor communities of reef organisms, particularly fish, the creation of a digital analysis method would make a great contribution to the studies of reef fish. To fill this knowledge gap, our work evaluates the possibility of using an artificial intelligence mechanism using convolutional neural networks (CNN) to identify and count reef fish in image records, to optimize digital analysis of videos and/or photos in reef environments for fish ecology studies. The accuracy of the CNN identification method was effective, although it still has challenges to improve, such as: the need for a preliminary survey of reef fish species existing in the target area to be monitored, with the capture of good resolution images in different positions space for each species; production of an image bank with a large number of diverse images for each species (minimum of 200 images per species) and; To detect fish in videos, fast computers with a dedicated GPU card are needed, especially if the videos are high or ultra-resolution and have a large number of fps.

The recent digital resources of websites Internet auctions as a research source for the circulation of the Prague groschen in Ukraine

The article was aimed at updating the content of digital and digitised numismatic data of the Ukrainian segment of the Internet, in particular the antiques auction website “Violity”, for searching, identifying, processing, grouping and researching information on the findings of Prague groschen in Ukraine in 2019-2024. The research methodology was based on an interdisciplinary approach that integrates the subject matter and tasks of specific research practices in numismatics and the history of monetary circulation with historical science methods, source studies and mathematics. In particular, the study used the digital data analysis and synthesis methods of numismatic sources, their quantitative content analysis, classification methods and source criticism. The study had shown that in the notional category of the Late Middle Ages treasures, Bohemian groschen thesauri occupy a leading position. There is a relatively significant number of offers of entire treasures of these coins, which are evenly distributed throughout the territory of the Prague groschen circulation in Ukraine. The digital data sample analysis by the criterion of “location” allowed obtaining conditionally reliable data on the number of new finds of Prague groschen in certain regions of Ukraine. The finds geographical distribution practically coincides with the area of the coinage type circulation in the Ukrainian lands in the 14th-15th centuries. The digital data sample content analysis by the issuer criterion showed the absolute predominance of coins minted by Wenceslas IV (1378-1419). The second largest group of coins is the coinage of Charles I (1346-1378), and the third is the issue of John I of Luxembourg (1310-1346). The finds selection of clipped Prague groschen based on the criterion of “location” indicated that they belonged to John I and Charles I and originated from Lviv and Khmelnytskyi regions within the historical regions of Galicia and Podillia. A small group consists of coins with countermarks of German cities, which are recorded exclusively on the coins of King Wenceslas IV (1378-1419). The practical significance of the study lies in the introduction of a group of digital data from the newest numismatic sources into scientific circulation, which allows to clarify the geography and chronology of the Prague groschen circulation in Ukraine in the 14th-15th centuries

Being remembered as a psychologist? A data driven approach to the Moritz Lazarus Archive

ABSTRACT Moritz Lazarus, the first professor for psychology, is known for his Völkerpsychologie (psychology of peoples). However, his archive at the National Library of Israel contains surprisingly many texts on individual psychology, a part of his oeuvre which is still mostly unknown. In this study, digital analysis methods (image embedding and topic modeling) are used to gain a first insight into his archive and his psychology. The findings show Lazarus in a different light: A psychologist aware of the research of his time who is nevertheless rooted in social and cultural psychology.

Techno-Economic Protagonism: Ontology - Theoretical Foundations and Method for Qualitative Digital Power Analysis

Techno-Economic Protagonism: Ontology - Theoretical Foundations and Method for Qualitative Digital Power Analysis

Accuracy of New Generation Extended Pour Alginate V/S Addition Silicone Impression Materials for Fabricating Single Crowns – Research Articles

Aim: The aim of this study was to evaluate the fit of single copings fabricated from addition silicone and new generation alginate impression materials by comparing their marginal fit and internal adaptation using a 2D digital analysis method. Materials and Methodology: A maxillary second molar (Nissin typodont) was prepared and impressions were made using four different impression materials: CAVEX crème alginate, extended pour Alginate (Hydrogum5) with immediate pouring (EPI), extended pour Alginate with delayed pouring for one hour (EPD), and addition silicone (President, Coltene). Wax patterns were fabricated on stone dies and copings were cast. The copings were analysed for marginal and internal fit using a 2D digital analysis. One-way ANOVA with post hoc analysis was used to compare the mean marginal gap and internal fit among the groups Results: The study found that the mean marginal gap was 0.17 mm for the EPI group, 0.23 mm for the CAVEX crème alginate group (Group C), 0.20 mm for the EPD group, and 0.30 mm for the addition silicone group (Group PVS). Post hoc analysis revealed a significant difference in marginal fit between the EPI and PVS groups (p=0.03), indicating superior marginal fit in the EPI group. However, there was no statistically significant difference in internal fit among the groups. Conclusion: These results suggest that extended pour alginate materials, particularly when poured immediately, offer better marginal fit compared to addition silicone for single-tooth impressions. The internal fit was comparable across all materials tested. Clinical significance: Extended pour alginates can be used for fabricating a single coping due to their longer working time and flexibility in the impression process.

A digital twin-based analysis method to assess geometric variations for parts in batch production

Background In mass production, engineers are more concerned with the statistical distribution accuracy of parts in mass production rather than just the qualification of individual parts. However, currently, the statistical analysis methods designed for product accuracy are relatively scattered, and most of them focus on nominal part models. Therefore, there is a need to design a statistical analysis method for parts in mass production based on the Digital Twin model. &gt;Methods This paper presents a novel method to analyse the geometric variations of parts in batch production in the production line, which is based on digital twins to model and evaluate deviations contributed by the geometrical condition, assembly condition and material condition. Firstly, the statistical descriptions of the parts, particularly the features of a digital twin for parts in batch production related to the geometry and position, are classified into various hierarchies. Secondly, a covariance method is employed to analyse the law of their shape from the descriptions. Thirdly, the parts' shape feature similarity for different terms is derived, including the linear features of pose constraint, rotation deviation, and geometric deviation and the curve features like a geometric deviation. Finally, the probability distribution of discrete points on the manufacturing error caused by different reasons is calculated. Results Two case studies of reducer and rail highlight the applicability of the proposed approach. The standard deviation of the points has similar trend with sample cases according to normal distribution. Conclusions This paper categorizes the deviations of batch parts into the linear features of pose constraint, rotation deviation, and geometric deviation. When batch parts exhibit any of these deviation types, the eigenvalues and eigenvectors of their covariance matrix show certain patterns, enabling the identification of the deviation type and calculation of the statistical deviation probability distribution for the corresponding features.