bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pictograph system for diagnosis making and data management in endodontics
Authors: Abu Hasna Amjad , Pinto Alana Barbosa Alves , Minhoto Giovanna Bignoto , Corazza Bruna Jordão Motta , Carvalho Cláudio Antonio Talge , Ferrari Carlos Henrique 
Published: December 2021

ABSTRACTObjective: this questionnaire aimed to evaluate the approval of a new pictograph system for endodontic diagnosis by undergraduate and graduate students/endodontist instead of a conventional method. Methods: after a presentation to a total of 224 participants explaining the pictograph system, the participants (166 undergraduate students and 58 graduate students/endodontist) received a standardized questionnaire with three questions. The data were analyzed using the multprop macro basing on Tukey's test for multiple comparison with (P ? 0.05). The first question was to define the education level of the participants; the second question about which diagnosis method is preferred; and the third question about the intention of using one of the methods in the future. The questionnaire was realized in May 2019. The response rate was 97.7%. Results: the first question showed that 74.10% and 25.90% were undergraduate and graduate students/endodontist respectively. After statistical analysis there was no significant difference between the groups in the second and the third questions. In the second question (71.08% and 62.06%) of undergraduate and graduate student/endodontists respectively preferred the pictograph method over the conventional method. In the third question (60.24% and 51.72%) of undergraduate and graduate student/endodontists respectively showed interest in using the pictograph method in their professional career. Conclusion: the pictograph method in endodontic diagnosis is accepted by the majority of undergraduate and graduate students/endodontists. Training and experience affect the diagnosis making. KEYWORDSAdvanced dental education; Continuing dental education; Endodontics; Pictograph
Influence of CAD/CAM Material and Preparation Design on the Long-term Fracture Resistance of Endocrowns Restoring Maxillary Premolars
Authors: Foad Ahmed Mohsen , Hamdy Amina , Abd el Fatah Ghada , Aboelfadl Ahmad 
Published: December 2021

Objective: To evaluate the effect of different occlusal preparation designs and CAD/CAM materials on the fracture resistance of maxillary premolars endcrowns. Materials and Methods: sixty-four endodontically treated upper first premolars were randomly divided into four groups according to ceramic materials (Vita Enamic and IPS emax CAD) and occlusal preparation designs (Anatomical and horizontal butt joint). After teeth preparation, the restorations were all made by CAD/CAM system (Cerec MCXL). Half of each group had undergone cyclic fatigue testing of 105 cycles with 50N loading force at a frequency of 0.5Hz in a mechatronic chewing simulator machine, and then all samples were loaded to fracture using a universal testing machine with a cross head speed of 0.5mm/min recording the fracture resistance values in N . The specimens were measured and statistically analyzed using using three-way analyses of variance (ANOVA), followed by serial two-way and one-way ANOVAs at each level of the study. P-values were adjusted for multiple comparisons using BENFORRONI correction and the significance level was set at P ? 0.05 for all tests. Results: Vita Enamic endocrowns showed higher fracture resistance values than IPS e max specimens. Conclusions: Vita Enamic endocrowns with anatomical preparations were found to be more favourable restoring endodontically treated maxillary premolars. KEYWORDSEndocrowns; All-Ceramic; Fracture; Cyclic loading; CAD/CAM
A Living Heritage Approach Toward Sustainability of Islamic City in The Northern Coastal of Java, Indonesia
Authors: Suprapti Atik 
Published: December 2021

Cultural diversity is one of the global issue underlined by UN. Indonesia known as a very rich country has more than 300 ethnic cultures. One of them is Islamic architecture and cities that spread in the North Coast of Java. In the span of 6 centuries, we can still witness the existence of these works as living heritage that saves tangible and intangible culture. The role of the community is very significant which are take care, plan and develop for the next generation. However, the changes that have occurred are caused by urbanization, and the shift in the political and economic map poses a threat to the sustainability of this legacy. The purpose of writing this article is to provide views on the importance of an approach to the process of preserving living cultural heritage by involving community participation in order to maintain the sustainability of cultural heritage. The locus in the North Coast of Java is based on the consideration that the cities in this region inherit the distinctive Islamic culture of the Coastal Java and its dynamics. The digital-legacy approach combines the use of information technology in this case is Web GIS for archiving artifact data. Meanwhile, the living heritage approach encourages community participation to play an active role with stakeholders on an ongoing basis in the preservation of artifacts. Kudus Kulon is an interesting and unique case with the Gusjigang community who have cared for Omah Joglo Pencu for almost three centuries. Architectural sustainability – Muslim cities include historical and cultural sustainability, function, and maintenance
Factores que diferencian el consumo frecuente y esporádico de marihuana en estudiantes universitarios
Authors: Pilatti Angelina , Rivarola Montejano Gabriela , Nillus Macarena , Fernandez Macarena Soledad , Pautassi Ricardo Marcos 
Published: December 2021

Aunque el consumo de marihuana es altamente prevalente entre universitarios de Argentina, poco se sabe respecto a los factores que permiten distinguir a los consumidores frecuentes de marihuana de quienes consumen esporádicamente. Por esta razón, en el presente trabajo se indagó sobre las posibles variaciones en los contextos de consumo, motivos de consumo, normas percibidas y estrategias conductuales de protección entre universitarios con consumo frecuente o esporádico de marihuana, y se analizó la utilidad de este conjunto de variables para distinguir entre estos los tipos de consumidores mencionados. Para ello, se contó con una muestra de 1083 estudiantes universitarios argentinos que completó una encuesta en línea sobre el consumo de sustancias. En particular, este trabajo se realizó con la submuestra que reportó consumir marihuana en los últimos 30 días (n = 158; 51.3 % mujeres). Dicha encuesta interrogaba sobre el consumo de marihuana y las consecuencias negativas asociadas, así como por motivos de consumo, normas sociales percibidas y estrategias conductuales de protección. Como resultado, los consumidores frecuentes presentaron mayor cantidad de consecuencias negativas (M = 4.92) que los consumidores esporádicos (M = 1.82; p ≤ .05), y se halló un perfil distintivo en un conjunto de variables. A nivel multivariado, los motivos de animación (or = 1.230; p ≤ .05), las estrategias conductuales de protección (or = .941; p ≤ .05), el consumo en solitario (or = 2.024; p ≤ .05) y el consumo en fiestas universitarias (or = 2.669; p ≤ .05) discriminaron significativamente entre ambas clases de consumidores. En general, los hallazgos revelaron subpoblaciones heterogéneas de consumidores de marihuana que difieren no solo en el consumo y sus consecuencias, sino también en los contextos de consumo y en un conjunto de variables relevantes. Estas subpoblaciones distintivas requieren de intervenciones diferentes y específicas.
Lipid characterization of 14 macroalgal species from Madeira Archipelago: implications for animal and human nutrition
Authors: Galindo Ana , Reis Diana B. , Rodríguez Inés , Pérez José A. , Abdul-Jalbar Beatriz , Zárate Rafael , Nunes Nuno , Pinheiro de Carvalho Miguel A. A. , Acosta Nieves G. , Rodríguez Covadonga 
Published: December 2021

Abstract
The lipid and fatty acid profiles of 14 marine macroalgal species from the Madeira Archipelago, including two green (Ulvales and Dasycladales), three red (Corallinales, Bonnemaisoniales, and Ceramiales) and nine brown (Fucales, Dictyotales, and Sphacelariales) species were characterised in order to determine their potential use for animal and human nutrition. The total lipid content of species analysed was generally low, varying from 0.2 to 5.2% of dry weight. All species presented an omega 6/omega 3 (n-6/n-3) ratio lower than 10, as recommended by the World Health Organization for proper human health. Polyunsaturated fatty acids (PUFA), including linoleic acid and alpha-linolenic acid were exceptionally high in the green macroalga Ulva sp. Red macroalgae were rich in n-3 long-chain PUFA, particularly Asparagopsis taxiformis, which contained 6.6% of docosahexaenoic acid, and Halopithys incurva with 9.3% of eicosapentaenoic acid. Within Ochrophyta, Dictyota dichotoma is an interesting source of n-3 PUFA due to its high stearidonic acid proportion (8.0%). In addition, H. incurva contained a high proportion of both mono- and digalactosyldiacylglycerols. According to their lipid profiles, most macroalgae analysed might be considered of particular interest for their potential exploitation for human nutrition and livestock and aquaculture production.
Learning about reflective PPG for SpO2 determination using Machine Learning
Authors: Badiola Aguirregomezcorta Idoia , Blazek Vladimir , Leonhardt Steffen , Hoog Antink Christoph 
Published: December 2021

Abstract
Reflective Photoplethysmography (PPG) sensors are less obtrusive than transmissive sensors, but they present patient-dependent variations in the so-called “Ratio of Modulation” (R). Thus, the conventionally employed calibration curves for determining peripheral oxygen saturation ( SpO2) may report inaccurate values. In this paper, we study the possibility of overcoming these limitations through Machine Learning (ML). For that, we show the results of applying several algorithms and feature combinations to PPG data from a human hypoxia study. The study was performed on ten healthy subjects. Their target oxygen saturation was reduced in five steps from 98- 100% to 70-77% through an oral mask. Blood Gas Analysis (BGA) was performed five times for each saturation level to measure the arterial oxygen saturation. PPG data were acquired from a reflective pulse oximeter placed in the subjects’ ear canals. PPG signals were pre-processed, and several features in the frequency and temporal domain were calculated. For the ML algorithms’ input, we explored different combinations of the features. We trained and validated the algorithms with the data from seven patients, and we tested them on three. Finally, we performed leaveone- out cross-validation to ensure the universality of the methods. The results show a good agreement of the predictions with the BGA values for Linear Regression, k- Nearest Neighbors, Stochastic Gradient Descent, and Neural Network for all input feature combinations with an average RMSE in the range of 3%. However, the performance of the Linear Regression was not beaten by the Neural Network, even for overfitting with 2000 hidden layers. The combination of R calculated with a Fast-Fourier Transform and ACRMS.red/ACRMS.irsignificantly improved the results, reducing the RMSE by 25%. This work demonstrates that a straight-forward Linear Regression is capable of determining SpO2with reflective PPG independently of the subject if the ratio ACRMS.red/ACRMS.ir is considered simultaneously with the Ratio of Modulation.
Investigation of an embedded closed-loop stimulation current control principle based on the use of nonlinear ceramic capacitors
Authors: Olsommer Yves , Ihmig Frank R. 
Published: December 2021

Abstract
Over the years, a constant progress in the development of implantable medical devices (IMD’s) can be observed. On one hand, the advanced implantable electronics enable the implementation of numerous smart functionalities, on the other hand, the variety of electronic components including sensors and a bulky battery severely restrict their degree of miniaturization and reliability. To overcome this limitation, our approach is to realize smart functionalities in leadless and battery-free IMD’s emerging from frugal innovation by exploiting the intrinsic nonlinear properties of the components to be used anyway. The aim of this work is to deepen the understanding of the dynamic behavior of circuit topologies of nonlinear ferroelectric ceramic capacitors and to investigate their potential use for an embedded closed-loop control of the stimulation current. We characterized a selection of 40 commercial ceramic capacitors by measurement and simulation. The degree of nonlinearity resulting from a circuit topology consisting of one, two series and two parallel connected nonlinear capacitors was modeled and evaluated in Mathcad. We present a model with parameterized nonlinear capacitors to simulate the dynamic behavior of an inductively coupled implantable system. The stabilization and amplitude of the stimulation current is controlled by two features. These features are in turn controlled by the circuit topology and the degree of nonlinearity of the capacitors. We found that a high degree of nonlinearity allows the stimulation current to be stabilized within a reasonable range, but it makes the system more prone to instability. However, our model needs to include the dynamic behavior of ferroelectric materials used as dielectric in ceramic capacitors to extend the current investigations and to deepen the understanding of the physics behind the nonlinear properties of ferroelectric capacitors.
Virtual Therapeutics – Requirements to deliver value with virtual reality and biofeedback applications for alcohol addiction therapy
Authors: Hanshans Christian , Maisch Bettina , Zauner Johannes , Faust Moritz M. R. , Bröll Lukas M. , Karch Susanne 
Published: December 2021

Abstract
The application of virtual reality (VR) as a supportive tool in psychotherapy has gained great popularity in recent years. Especially for addiction therapy, a combination of virtual exposure and learning or training coping skills by using biofeedback has a high potential to improve conventional therapy. To add value, the new therapy system has to meet the needs of patients and practitioners likewise. Added values consistently named by experts included, but were not limited to, new possibilities of creating individual exposition or coping scenarios, enhanced psychoeducation, a shorter duration of treatment, telemedical aspects, the possibility of measuring and predicting craving and finally an improvement in abstinence. Besides literature research, we evaluated existing technical solutions in the field of virtual addiction treatment, surveyed experts and evolved a concept that led to a first prototype. The prototype consists of a wireless VR headset and a wireless multi-sensor system for measuring the physiological reaction to stimuli or the effectiveness of coping strategies by means of biofeedback. For further studies we developed both, a virtual exposure and a coping scenario and tested the hardware and software in a pilot study in order to elaborate factors that could negatively affect the therapy adherence, the effectiveness of exposition (immersion) and possible hurdles in practical use. Cybersickness and the lack of haptic feedback turned out to be the main limiting factors. Concepts for the next iteration of the therapy system will reflect these points for upcoming clinical studies. In our proof of concept, we demonstrated that virtual therapy can be implemented with a reasonable effort of time and costs. The combination of software and hardware, that supplements the traditional therapeutic approach, lays the foundation for upcoming clinical use and trials to prove the better outcome of VR enhanced addiction therapy.
A software for online monitoring of orientation-compensated forces during CI insertion
Authors: Schell Viktor , Böttcher Georg , Budde Leon , Zuniga M. Geraldine , Lenarz Thomas , Rau Thomas 
Published: December 2021

Abstract
The electrode array insertion is a critical point during CI surgery and should be performed as gently as possible to preserve residual hearing. In order to measure occurring forces, an insertion tool with an integrated force sensor and an inertial measurement unit (IM U) is being developed. The weight of the electrode holder and the sensor add an unknown offset to the measured forces, depending on the tool orientation. To address this problem, a software which calculates the orientation-induced error and computes a corrected force was developed. The software was written in C++ using the library Qt 5.12.9. For maximization of the computing frequency, the data acquisition of both sensors and the monitoring was parallelized. An algorithm was developed to calculate the error caused by the electrode holder and sensor. For this purpose both weights were determined in a calibration procedure and merged with the provided IM U data. The evaluation was done in two test series (each n=5) with different initial tool orientations. To this end a stepwise 360° rotation around the horizontal axis was performed, while recording the corrected forces. The developed software allows a computing frequency up to 100 Hz with a latency of 10 ms for the online monitoring of the processed data. The evaluation of the corrected force shows a residual error of 0.347 mN ± 0.325 mN for the first and 0.176 mN ± 1.971 mN for the second test series. With the created algorithm, the impact of the extra weight on the sensor can be almost fully equalized. The highly responsive software offers a new possibility to process insertion forces and provide feedback to surgeons. Determining the influence of the tool orientation on the corrected forces is the subject of future researches.
Illustrating orientation changes of the insertion trajectory during cochlear implant electrode array insertion
Authors: Zuniga M. Geraldine , Böttcher Georg , Schell Viktor , Lenarz Thomas , Rau Thomas S. 
Published: December 2021

Abstract
Introduction: Recent investigations focused on the optimization of atraumatic cochlear implant surgery have highlighted the relevance of the electrode array (EA) insertion trajectory. This is particularly studied in the context of minimally-invasive “keyhole” and robotic-assisted approaches, e.g. to avoid injuring structures inside and outside the cochlea. However, little is known about the natural, manual movements and trajectory followed during the insertion process. The present work illustrates the orientation changes within the trajectory a surgeon follows during insertions of EAs into a human cadaveric cochlea. Methods: An EA insertion tool equipped with a gyroscope was developed in our laboratory. During the insertion trials, the gyroscope captures the tool’s spatial orientation. A human head specimen and a single EA were used to perform insertions into a cochlea. A cochlear implant surgeon performed all insertion trials. The recorded orientations were compared to the initial orientation upon cochlea entry to assess the surgeon’s range of motion by calculating the angle between orientation vectors. Results: Fifteen EA insertions were performed with a median maximal deviation from the initial orientation of 7.2° (5.3 -11.1°) across trials. The largest orientation changes were seen towards the last half of each insertion trial. A negative relationship between degree of axis change and number of insertion trial was observed (r = -0.5). Conclusion: Manual EA insertions into a cadaveric cochlea revealed an insertion trajectory with maximum orientation changes of approximately < 10° degrees. The observed trend on decreasing range of motion with increasing number of insertion trials may be attributed to surgeon’s familiarization with the insertion trajectory for this specific specimen but other contributing factors (e.g. EA softening) need to be further elucidated with several EAs. Future evaluations can help determine if this orientation change is influenced by surgeon expertise.
On the development of a FHIR-compliant backend for processing HTTP requests and APIbased management of healthcare documents
Authors: Happel Rene , Larionov Pavel , Schanze Thomas 
Published: December 2021

Abstract
In palliative care, it is important to inform relatives or caring persons about the condition of the affected person, this could also include vital or biomedical data. Nonprofessional caregivers need information around the topic. However, the data should be stored in a backend system and be able to be viewed and edited by multiple caregivers on multiple platforms. Using the example of the backend solution described here, we will show how a FHIR-compliant server for health data, which could be provided from a digital health App (DiGA), can be established, as well as a second server for article database as a "CRUD"-API and user identification.
Separating atrial near fields and atrial far fields in simulated intra-atrial electrograms
Authors: Schicketanz Leonie , Unger Laura Anna , Sánchez Jorge , Dössel Olaf , Loewe Axel 
Published: December 2021

Abstract
The detailed characterization of complex forms of atrial flutter relies on the correct interpretation of intra-atrial electrograms. For this, the near field components, which represent the local electrical activity, are decisive. However, far field components arising from distant electrical sources in the atria can obscure the diagnosis. We developed a method to separate and characterize atrial near field and atrial far field components from bipolar intra-atrial electrograms. First, a set of bipolar electrograms was created by simulating different propagation scenarios representing common clinical depolarization patterns. Second, near and far fields were detected as active segments using a non-linear energy operator-based approach. Third, the maximum slope and the spectral power were extracted as features for all active segments. Active segments were grouped accounting for both the timing and the location of their occurrence. In a last step, the active segments were classified in near and far fields by comparing their feature values to a threshold. All active segments were detected correctly. On average, near fields showed 15.1x larger maximum slopes and 40.4x larger spectral powers above 100 Hz than far fields. For 135 active segments detected in 72 bipolar electrograms, 5.2% and 6.7% were misclassified using the maximum slope and the spectral power, respectively. All active segments were classified correctly if only one near field segment was assumed to occur per electrogram. The separation of atrial near and atrial far fields was successfully developed and applied to in silico electrograms. These investigations provide a promising basis for a future clinical study to ultimately facilitate the precise clinical diagnosis of atrial flutter.