Case Report: Digital analysis of occlusion with T-Scan Novus in occlusal splint treatment for a patient with bruxism

Bruxism is a disease with a multifactorial etiology. Its clinical manifestations are most often an unaesthetic smile with abraded tooth surfaces, temporomandibular disorders and muscle hyperactivity. Here we present a case of bruxism where proper articulation of the occlusal splint was performed using the T-scan Novus system. A patient with bruxism underwent treatment with stabilization splint made by 3D printer technology. Intraoral scanning was performed using Trios Color (3Shape, 2014), and the digital design was achieved using the 3Shape Dental system design - splint studio. Formlabs Form 2 printer with biocompatible resin Dental LT Clear Resin was used for printing. The T-Scan Novus system with software attached to it, version 9.1, was used for digital examination of the occlusion. A 2.7 mm thick occlusal splint was developed, and the software adapted the occlusion with antagonists. After adjustment with T-Scan Novus, a reduction in disocclusion time of the patient was achieved, which is a desired result in the treatment of bruxism. The position of the joint components was proven radiologically. The treatment of bruxism with splint therapy continues to be the main method of treatment. Using digital technology allows for more accurate constructions and precise balancing of occlusal relationships.

Spectral image contrast-based flow digital nanoplasmon-metry for ultrasensitive antibody detection

Background Gold nanoparticles (AuNPs) have been widely used in local surface plasmon resonance (LSPR) immunoassays for biomolecule sensing, which is primarily based on two conventional methods: absorption spectra analysis and colorimetry. The low figure of merit (FoM) of the LSPR and high-concentration AuNP requirement restrict their limit of detection (LOD), which is approximately ng to μg mL−1 in antibody detection if there is no other signal or analyte amplification. Improvements in sensitivity have been slow in recent for a long time, and pushing the boundary of the current LOD is a great challenge of current LSPR immunoassays in biosensing. Results In this work, we developed spectral image contrast-based flow digital nanoplasmon-metry (Flow DiNM) to push the LOD boundary. Comparing the scattering image brightness of AuNPs in two neighboring wavelength bands near the LSPR peak, the peak shift signal is strongly amplified and quickly detected. Introducing digital analysis, the Flow DiNM provides an ultrahigh signal-to-noise ratio and has a lower sample volume requirement. Compared to the conventional analog LSPR immunoassay, Flow DiNM for anti-BSA detection in pure samples has an LOD as low as 1 pg mL−1 within only a 15-min detection time and 500 μL sample volume. Antibody assays against spike proteins of SARS-CoV-2 in artificial saliva that contained various proteins were also conducted to validate the detection of Flow DiNM in complicated samples. Flow DiNM shows significant discrimination in detection with an LOD of 10 pg mL−1 and a broad dynamic detection range of five orders of magnitude. Conclusion Together with the quick readout time and simple operation, this work clearly demonstrated the high sensitivity and selectivity of the developed Flow DiNM in rapid antibody detection. Spectral image contrast and digital analysis further provide a new generation of LSPR immunoassay with AuNPs. Graphical Abstract

Die Prüfung der Zahlungsunfähigkeit mittels Algorithmen

Even after various decisions of the German Federal Court of Justice on the concept of illiquidity under insolvency law, the methodology of the test remains unclear. This also applies to the justiciability of business forecasts. The thesis examines whether and within what limits testing for illiquidity can be performed by digital analysis of accounting data. It also describes the extent to which short- and medium-term liquidity planning can be supported by quantitative forecasts. Statistical methods as well as approaches from the field of artificial intelligence are described.

Regional Signal Recognition of Body Sounds

One of the most important signals in the field of biomedicine is audio signals. Sound signals obtained from the body give us information about the general condition of the body. However, the detection of different sounds when recording audio signals belonging to the body or listening to them by doctors makes it difficult to diagnose the disease from these signals. In addition to isolating these sounds from the external environment, it is also necessary to separate their sounds from different parts of the body during the analysis. Separation of heart, lung and abdominal sounds will facilitate digital analysis, in particular. In this study, a dataset was created from the lungs, heart and abdominal sounds. MFCC (Mel Frekans Cepstrum Coefficient) coefficient data were obtained. The obtained coefficients were trained in the CNN (Convolution Neural Network) model. The purpose of this study is to classify audio signals. With this classification, a control system can be created. In this way, erroneous recordings that may occur when recording physicians' body voices will be prevented. When looking at the results, the educational success is about 98% and the test success is about 85%.

Digital analysis of colposcopic images in papillomavirus infection

Acetowhite epithelium (AWE) is one of the main clinical indicator of papillomavirus infection in squamous cell lesions. AWE has a different intensity in various degree of the cervix papillomavirus infection. The digital approach gives the opportunity to estimate AWE intensity by numeric values. The investigation aim is a quantitative assessment of cervical surface changes in papillomavirus infection with digital analysis and computer technologies. The spread of AWE on the cervical surface area has a value of the cervix papillomavirus infection in squamous cell lesions. These two features provide to create the index intensity (IndInt) and index grey value (IndGV). Open-source software ImageJ was used to analysis of colposcopic images. The 8-bit mode was used for the estimation of the AWE grey value. The algorithm of digital analysis detected indicators that provide the severity of papillomavirus infection. The outcomes of an algorithm were the identification of the cervix surface condition severity by an objective quantification.

Analytical Design of Irregular Buildings founded on soft soil

In modern day, due to the need of unique architectural appearance or aesthetics of building, irregularities in mass, stiffness and symmetry may get disturbed, making the whole structure vulnerable to certain damages either minor or major. Some of the functional considerations of these structures are use of ground floor as car parking in residential buildings, use of basement as car parking in malls, etc. Seismic range is one the most important factors to be considered to analyze any irregular structure. In this study, the design of different G+6 structures having vertical regularity was done. These irregular structure models were compared with a regular G+6 structure having similar properties as other structures. For the designing and analysis of these structures, use of StaadPro software was done. It is one of the most used software, whenever it comes to the digital analysis of any structure. Different types of Vertical irregularities like mass irregularity, Vertical Setback Irregularity, Stiffness Irregularity (Discontinuous Column, Middle weak storey and Bottom Weak Storey) were considered for the analysis. The Seismic Zone for the structure is considered to be Delhi (Seismic Zone IV) with a Seismic Factor of 0.24. All the model structures were compared for the parameters of their Storey Drift and Storey Displacement. For irregular buildings though, certain damages/fatigue may be observed in some structures but the structures will not fail and will be serviceable for a long time with proper care. It was observed that the structures with stiffness irregularity showed the most increase in storey displacement and storey drift values.

STUDY PROFILES THERMOGRAMS FOR DETERMINING DISEASES OF THE CATTLE LIMBS

The article discusses non-contact thermal imaging methods for determining diseases of biological objects: video digital identification and thermography. When studying inflammatory processes in the body of a biological object using thermograms, one should refuse to register only the native thermal picture, which is static, and it is imperative to assess its dynamics. If a series of thermograms shows local changes in the thermal picture in the form of an increase or decrease in infrared radiation in those areas and at the time that were supposed, only in this case it is possible to speak unambiguously about the objectivity of thermal imaging information. Creation of a methodology for the application of digital analysis of video profiles of the shape and ratio of the dimensions of an object, and comparison of the results with the thermographic picture of a thermal imaging image of a functional thermal imaging of thermograms in normal conditions and with inflammation in a biological object.

DIGITAL Analysis in Digital Transformation

Aim. The presented study aims to develop an approach to selecting a process in the organization’s activities or a section of a separate process, the digital transformation of which will produce the greatest effect.Tasks. The authors determine a general approach to choosing where to apply digital technologies in an organization or in the transformed process to the greatest effect; develop criteria for choosing where to apply a transformational solution during digital transformation; create a conceptual framework for process analysis during digital transformation; ensure the reproducibility and efficiency of digital transformation regardless of the level of competence of the responsible manager.Methods. The methodological basis of this article includes studies on digital transformation, theoretical and practical materials regarding the application of transformational solutions during its implementation, and practical cases of digital transformation. The applied methods make it possible to identify patterns and form a conceptual understanding of the approach to analyzing the efficient use of digital technologies. When searching for a conceptual solution to the problem of finding a place to apply digital technologies, the authors use their developments in the field of digital transformation.Results. The DIGITAL analysis method developed by the authors contains a conceptual understanding of criteria for choosing where to apply a transformational solution during digital transformation within the specific transformed process, making it possible to digitally transform any process or organization as a whole until they reach the level of digital maturity corresponding to an autonomous technical system. The developed method of DIGITAL analysis increases the efficiency of digital transformation and does not require significant experience in its implementation. The novelty of DIGITAL analysis is that it makes it possible to turn digital transformation into a formalized process instead of the usual application of well-known digital transformation cases.Conclusions. The DIGITAL analysis method not only increases the efficiency of digital transformation, but also provides an opportunity to effectively choose where to apply a transformational solution. The developed method of DIGITAL analysis can be used independently or as a component of a comprehensive methodology for conducting digital transformation. The use of DIGITAL analysis is not tied to a particular industry or process under consideration.