Application Fields Research Articles

Effects of Different Organic Fertilizers on Yield and Yield-Related Characteristics in Black Cumin (Nigella sativa L.) Cultivation Under the Ecological Conditions of Tokat, Türkiye

This research was carried out during the 2022 and 2023 growing seasons on Agricultural Research and Application Fields of Tokat Gaziosmanpaşa University. The study aimed to investigate the effects of different organic fertilizers and application rates on the yield and yield-related characteristics of black cumin (Nigella sativa L.). The experiment was designed using a split plot arrangement in a randomized complete blocks design with three replications. The main plots were assigned to five organic fertilizer types: Leonardite, Vermicompost, Solid Humus, Chicken Manure and Sheep Manure, while the subplots included in the same way in all fertilizer forms four fertilizer doses (0, 150, 300 and 600 kg/da). The study utilized “Çameli” variety, the only registered Nigella sativa L. variety in Turkiye. Key parameters examined over both years included plant height (cm), number of branches per plant (number), number of capsules per plant (number), number of grains per capsule (number), thousand seed weight (g), seed yield (kg/da). The results; revealed that the average plant height ranged from 39.76 to 54.33 cm, the number of branchers per plant, ranged from 6.22 to 6.35, the number of capsules per plant ranged from 13.43 to 14.88, the number of seed per capsule ranged from 98.56 to 104.00, thousand seed weight varied between 2.50 and 3.11 g, seed yield ranged from 135.26 to 135.41 kg/da. Statistically significant differences (p<0.01) were observed for all examined characteristics. Based on the two-year results the application of chicken manure at 300 kg/da was identified as the most effective treatment, significantly enhancing plant height, capsule number and thousand seed weight. This finding reveals that the use of organic fertilizer in black cumin cultivation is an important alternative for farmers who want to both increase yield and prefer a natural production method.

Mechanism and Characterization of Bicomponent-Filler-Reinforced Natural Rubber Latex Composites: Experiment and Molecular Dynamics (MD)

The incorporation of reinforcing fillers into natural rubber latex (NR) to achieve superior elasticity and mechanical properties has been widely applied across various fields. However, the tendency of reinforcing fillers to agglomerate within NR limits their potential applications. In this study, multi-walled carbon nanotube (MWCNT)–silica (SiO2)/NR composites were prepared using a solution blending method, aiming to enhance the performance of NR composites through the synergistic effects of dual-component fillers. The mechanical properties, dispersion behavior, and Payne effect of three types of composites—SiO2/NR (SNR), MWCNT/NR (MNR), and MWCNT-SiO2/NR (MSNR)—were investigated. In addition, the mean square displacement (MSD), fractional free volume (FFV), and binding energy of the three composites were simulated using molecular dynamics (MD) models. The results showed that the addition of a two-component filler increased the tensile strength, elongation at break, and Young’s modulus of NR composites by 56.4%, 72.41%, and 34.44%, respectively. The Payne effect of MSNR was reduced by 4.5% compared to MNR and SNR. In addition, the MD simulation results showed that the MSD and FFV of MSNR were reduced by 21% and 17.44%, respectively, and the binding energy was increased by 69 times, which was in agreement with the experimental results. The underlying mechanisms between the dual-component fillers were elucidated through dynamic mechanical analysis (DMA), a rubber process analyzer (RPA), and field emission scanning electron microscopy (SEM). This study provides an effective reference for broadening the application fields of NR.

Fabrication of Fe3O4@Polypyrrole@Sulfamic Acid Composite for Efficient Adsorption of Four Cationic Dyes in Aqueous Solution

ABSTRACTWith the continuous development of industry, the issue of industrial wastewater emissions is increasing. Adsorption, as an effective means possessing the features of no pollution, high efficiency, and easy operation, has become one of the effective methods to treat industrial wastewater. Fe3O4@polypyrrole@sulfamic acid (Fe3O4@PPy@SA) composite is successfully prepare by hydrothermal method, in situ polymerization, and modification. Its adsorption behaviors of the composite on MG, MB, CV, and RhB are investigated by UV–Vis, and the impacts of temperature, dye concentration, and the contact time between the composite and the dyes on the adsorption efficiency are researched. The adsorption kinetics and adsorption isotherms exhibit that the adsorption of these four dyes is more in accordance with pseudo‐second‐order kinetic model and Langmuir adsorption isotherm model, the diffusion behaviors are affected through the combined effect of intraparticle diffusion and Boyd membrane diffusion, and the thermodynamic studies display that all these adsorption behaviors are spontaneous heat absorption behaviors. The prepared Fe3O4@PPy@SA is an efficient adsorbent in the field of applications.

Morphotropic Phase Boundary Region 0.7BiFeO3-0.3BaTiO3 Ceramics Exploration Under the Influence of the Incorporated Sn-Ions for Piezo/Ferro Applications

In the field of piezoelectric applications, perovskite-based multifunctional composite ceramics are widely explored. The morphotropic phase boundary (MPB) regions, where dual structural phases coexist, play a crucial role in boosting the ferroelectric and piezoelectric properties significantly. Herein, MPB-region-existent 0.7BiFeO3-0.3BaTiO3 (BFBT) composite ceramic is investigated under the influence of wt%Sn-ion incorporation at the lattice sites of the BFBT. Specifically, the ceramic composition BFBT:0.2Sn has demonstrated excellent remnant polarization (Pr ~ 22.68 µC/cm2), an impressive piezoelectric coefficient (d33 ~ 211 pC/N), stable impedance of 1.07 × 107 Ω, a Curie temperature of 435 °C and low dielectric loss (tanδ) of <0.5. Moreover, the BFBT:0.2Sn ceramic has also maintained a stable d33 of ~150 pC/N and resistivity of ~102 Ω even at a temperature of 400 °C. Such outcomes confirm the ability and potential of the BFBT:0.2Sn ceramic composition for high-temperature piezoelectric applications.

Enhancing chronic care pathways with Health Lean Management: a case study in a Spanish hospital

PurposeFacing the burden of chronic diseases has become a priority for health-care systems’ economic and social sustainability. To this end, this paper aims to focus on adopting Health Lean Management (HLM), a widely used managerial approach, to improve the performance and quality of care provided in chronic care pathways. HLM addresses not only efficiency and timeliness issues but also care effectiveness and integration. Indeed, the lack of continuity and co-ordination of care constitutes a major challenge for chronic pathways. This research provides an innovative contribution, by extending the implementation of HLM to chronic pathways developed across hospital and territorial care. Indeed, HLM scope typically regards hospital units and departments; hence, analysing the interaction between different levels of care represents a novelty from an academic and practical perspective.Design/methodology/approachWith the aim of understanding how to extend the adoption of HLM towards the territory, an action research project has been developed. In particular, an improvement project focused on breast cancer care pathways has been launched in a Spanish hospital. The research investigates which HLM activities, tools and practices need to be accomplished in this kind of project, grasping insights into emerging wastes. To this end, the HLM project followed the Define, Measure, Analyse, Improve and Control (DMAIC) cycle, supporting the project team in effectively conducting a preliminary context analysis, qualitative and quantitative data collection, the current state analysis and the countermeasure proposals.FindingsThe analysis conducted on the breast cancer care pathway highlighted major criticalities in managing the diagnosis of new patients. In particular, waiting times to obtain diagnostic imaging and breast specialist consultations highly impacted the care pathway effectiveness and efficiency. Specific wastes that caused these delays have been investigated, leading to the definition of specific countermeasures that could minimise the inefficiencies: an 85% reduction of the staging process lead time was estimated.Originality/valueThe achieved results contribute to enhancing the quality of care delivered to breast cancer patients. This paper enriches the theoretical knowledge about HLM, extending its typical field of application; provides practical support to health-care providers, managers and leaders with a case demonstrating how to develop HLM projects adopting the DMAIC cycle; and finally, it has valuable social implications, addressing the global threat of chronic disease.

Molecular spectroscopic and elemental analyses for the identification of multi-layered automotive coatings with Fourier Transform Infrared Spectroscopy (FTIR), Raman Microscopy and Scanning Electron Microscopy-Energy Dispersive Spectroscopy

Common automotive coatings include acrylic, amino, alkyd, polyester, nitro, and polyurethane coatings. In addition to these coatings, pigments, such as Prussian Blue, phthalocyanine blue, toluidine red, and scarlet powder are commonly added. Additives including sulphate, chrome yellow, CaCO3(calcium carbonate), TiO2(titanium dioxide), talc, dolomite and kaolin, are also commonly included in the coatings. The combination of these components makes it complex to identify them as a whole. However, the analysis of automotive coatings is not only important for coating producers in the industrial field, but also for forensic scientists investigating hit-and-run accidents. In this study, the authors aimed to establish a method that combines FTIR, Raman spectroscopy and SEM-EDS to investigate complex and multi-layered paint samples. As a result, comprehensive and detailed molecular spectroscopic and elemental information was successfully obtained for identification using this method. FTIR proved advantageous in analyzing resins, while Raman was more effective in characterizing additives and pigments. The selection criteria for infrared spectroscopy are based on the change in dipole moment in molecular vibration, while those for Raman spectroscopy are based on the change in molecular polarization. Raman spectroscopy and infrared spectroscopy have complementary application fields and can be used together to provide more comprehensive molecular vibration information. SEM-EDS can also accurately present elemental components. With this method, tiny differences in spectra can be clearly distinguished through mutual verification; corresponding components in paints can be confidently identified.

Microstructural Evolution and Oxidation Resistance of Fe-30Ni-15Cr Alloy for Internal Combustion Engine Valves Under Long-Term High-Temperature Exposure and Heat Treatment

Iron–nickel-based superalloy is an ideal substitute for the expensive Inconel 625 and Inconel 751 alloys. To elucidate the evolution of the microstructure and properties of Ni30 alloy under different thermal treatment conditions, a systematic study was conducted on the microstructural transformation of the alloy’s strengthening γ′ phase following solution treatment and aging, as well prolonged exposure at 750 °C, and the oxidation behavior of the Ni30 alloy was examined. During prolonged thermal exposure, grain growth occurs mainly in the initial stage, and after 200 h, the prolonged exposure time leads to a significant coarsening of γ′ precipitates, whose area fraction increases by more than 10 times compared to their unaged state. After 100 h of aging, the alloy reaches a peak tensile strength of 1270 MPa and a yield strength of 820 MPa; after 2000 h, the alloy maintains a relatively high strength with a slight decrease in ductility. The oxidation kinetic curve of Ni30 alloy follows the quasi-parabolic oxidation law at 750 °C, and its oxidation rate is consistently lower than 0.1 g·m−2·h−1 throughout the whole oxidation process, which indicates that it has excellent oxidation resistance. The external oxide layer of Ni30 alloy shows a bilayered structure, and no obvious surface porosity or flaking of oxidation products were observed throughout the high-temperature oxidation test. This study not only contributes to the improvement of material properties, but also promotes innovation and development in the field of high-temperature engineering applications that will help to meet the increasingly stringent requirements of high-temperature working environments.

MOF-derived Carbon-Based Materials for Energy-Related Applications.

New carbon-based materials (CMs) are recommended as attractively active materials due to their diverse nanostructures and unique electron transport pathways, demonstrating great potential for highly efficient energy storage applications, electrocatalysis, and beyond. Among these newly reported CMs, metal-organic framework (MOF)-derived CMs have achieved impressive development momentum based on their high specific surface areas, tunable porosity, and flexible structural-functional integration. However, obstacles regarding the integrity of porous structures, the complexity of preparation processes, and the precise control of active components hinder the regulation of precise interface engineering in CMs. In this context, this review systematically summarizes the latest advances in tailored types, processing strategies, and energy-related applications of MOF-derived CMs and focuses on the structure-activity relationship of metal-free carbon, metal-doped carbon, and metallide-doped carbon. Particularly, the intrinsic correlation and evolutionary behavior between the synergistic interaction of micro/nanostructures and active species with electrochemical performances are emphasized. Finally, unique insights and perspectives on the latest relevant research are presented, and the future development prospects and challenges of MOF-derived CMs are discussed, providing valuable guidance to boost high-performance electrochemical electrodes for a broader range of application fields.

Piecewise linear value function approximations in nonlinear dynamic scheduling problems with VTOLs

Modern vertical take-off and landing vehicles (VTOLs) could significantly affect the future of mobility. The broad range of their application fields encompasses urban air mobility, transportation and logistics as well as reconnaissance and observation missions in a military context. This article presents an efficient numerical framework for dynamic scheduling of multiple VTOLs. It combines a scheduling problem with optimal trajectory planning. The whole setting is formulated as a mixed-integer bilevel optimization problem. At the upper level, VTOLs are scheduled, and their starting times are computed. The solution of the lower level problem involves the computation of a value function and yields optimal trajectories for every aerial vehicle. In order to solve the bilevel problem, it is recast into a single-level one. The resulting mixed-integer nonlinear program is then piecewise linearized and solved numerically by a mixed-integer linear solver based on the Branch-and-Bound algorithm. Numerical results prove the feasibility of the approach proposed herein.

Selection of a Fluorinated Aptamer Targeting the Viral RNA Frameshift Element with Different Chiralities.

The development of RNA aptamers with high specificity and affinity for target molecules is a critical advancement in the field of therapeutic and diagnostic applications. This study presents the selection of a 2'-fluoro-modified mirror-image RNA aptamer through the in vitro SELEX process. Using a random RNA library, we performed iterative rounds of selection and amplification to enrich aptamers that bind specifically to the viral attenuator hairpin RNA containing the opposite chirality, which is an important part of the frameshift element. The unnatural chirality of the aptamer improved its enzymatic stability, and the incorporation of 2'-fluoro modifications was crucial in enhancing the binding affinity of the aptamers. After nine rounds of SELEX, the enriched RNA pool was sequenced and analyzed, revealing the dominant aptamer sequences. The selected 2'-fluoro-modified mirror-image RNA aptamer demonstrated a dissociation constant of approximately 1.6 μM, indicating moderate binding affinity with the target and exceptional stability against nuclease degradation. Our findings highlight the potential of 2'-fluoro-modified mirror-image RNA aptamers in enhancing the stability and utility of RNA-based therapeutics and diagnostics, paving the way for future applications in diverse biomedical fields.

Mesoscopic Modeling of Bio-Compatible PLGA Polymers with Coarse-Grained Molecular Dynamics Simulations.

A challenging topic in materials engineering is the development of numerical models that can accurately predict material properties with atomistic accuracy, matching the scale and level of detail achieved by experiments. In this regard, coarse-grained (CG) molecular dynamics (MD) simulations are a popular method for achieving this goal. Despite the efforts of the scientific community, a reliable CG model with quasi-atomistic accuracy has not yet been fully achieved for the design and prototyping of materials, especially polymers. In this paper, we describe a CG model for polymers, focusing on the biocompatible poly(lactic-co-glycolic acid) (PLGA), based on a general parametrization strategy with a potentially broader field of applications. In this model, polymers are represented with finite-size ellipsoids, short-range interactions are accounted for with the generalized Gay-Berne potential, while electrostatic and long-range interactions are accounted for with point charges within the ellipsoids. The model was validated against its atomistic counterpart, obtained through a back-mapping process, by comparing physical properties such as glass transition temperature, thermal conductivity, and elastic moduli. We observed quantitative agreement between the atomistic and CG representations, thus opening up the possibility of adopting the proposed model to expand the domain size of typical MD simulations to dimensions comparable to those of experimental setups.

High‐Density Polyethylene Janus Fibrous Membrane with Enhanced Breathability and Moisture Permeability via PDA Assisted Hydrophilic Modification

AbstractFunctional fibrous membranes with high mechanical properties are intensively developed for different application fields. In this study, to enhance moisture and air permeability without compromising mechanical strength, a facile float‐surface modification strategy is employed to fabricate Janus fibrous membranes with distinct hydrophobicity/hydrophilicity using the high‐density polyethylene (HDPE) fibrous membranes. By coating one side of the HDPE fibrous membranes with polydopamine (PDA) and a superhydrophilic polyelectrolyte, the obtained Janus HDPE fibrous membranes demonstrate an excellent water transmission rate (577.61 ± 72.66 g m−2 h−1), water vapor transmission rate (WVTR, 131.62 ± 24.34 g m−2 h−1) and gas permeability (17,496 ± 235 m3 m−2 h−1 bar−1), which are much better than those commercial membranes (Tyvek with water transmission rate 518.93 ± 23.20 g m−2 h−1, WVTR 53.09 ± 6.19 g m−2 h−1, and gas permeability 2,871 ± 145 m3 m−2 h−1 bar−1). Further, the Janus HDPE fibrous membranes keep outstanding mechanical strength (17.00 ± 4.26 MPa of tensile strength, 45.49 ± 8.75% of strain at break), and exhibit an asymmetric wettability on each side which is demonstrated by the separation experiments with various oil‐water mixtures. This simple modification approach not only improves the serviceability of HDPE fibrous membranes but also offers scalable potential for apparel applications and other industrial applications.

Mechanical performance and ANN-based prediction of Co-Cr dental alloys with gyroid cellular structures produced by LPBF technology

Gyroid structures exhibit significant potential in the fields of lightweight structural design, heat transfer, energy absorption, and biological applications. The use of gyroid for implants in dentistry is currently not sufficiently widespread. The research encompasses design, compression testing, cellular investigation using a digital microscope, and the application of artificial neural networks (ANNs) using data gained from the compression test. The ANN study and the test phase in which gyroid geometries are addressed by dental three-point bending tests are novel in this field. In the field of dentistry, this study compares the usability of five distinct gyroid design characteristics, including one model without a gyroid structure. During the testing, we found that the m1 model had an average maximum strength of 600 N, while the m3 model achieved 230 N. The remaining models achieved an approximate strength of 200 N. In the mechanical performance evaluation of the samples, a 40% weight reduction was achieved. An ANN model has been developed to predict the force experienced by gyroid structures under certain deformations depending on the infill ratio. This model was trained with data obtained from a three-point bending test. Using grid search and Monte Carlo cross-validation, the optimal multilayer perceptron structure was determined to have 12 neurons in the hidden layer, a mini-batch size of 8, and a learning rate of 0.0001. The Adam optimization algorithm was used to train the ANN model, which was constructed using the TensorFlow library. Evaluation metrics were used to test the model’s performance, and the results showed strong generalization capability and high accuracy with coefficient of determination ( R2) of 0.997, mean squared error (MSE) of 3.337E-05 kN2, root mean square error of (RMSE) 0.005777 kN, and mean absolute error (MAE) of 0.003633 kN on the test dataset.

High-energy-resolution passivated implanted planar silicon detectors

Abstract An alpha particle detector with high energy resolution is highly desired in the fundamental field of high-energy physics and various applications of environmental monitoring. In this paper, an excellent energy resolution of 0.35% for 5486 keV α-particles from 241Am with charge collection efficiency of 98.5% is achieved by a passivated implanted planar silicon detector with the window area of 530 mm². High energy resolution is attributed to high crystalline quality with long carrier lifetime, indicating less scattering of charges by defects and suppression of randomness of signal amplitude distribution. Enhanced energy resolution of radiation detectors will substantially reinforce the exploration within the realm of basic physics and augment the capabilities pertaining to biomedical drug development.

Programmable Electromagnetic Wave Absorption via Tailored Metal Single Atom-Support Interactions.

Metal single atoms (SA)-support interactions inherently exhibit significant electrochemical activity, demonstrating potential in energy catalysis. However, leveraging these interactions to modulate electronic properties and extend application fields is a formidable challenge, demanding in-depth understanding and quantitative control of atomic-scale interactions. Herein, in situ, off-axis electron holography technique is utilized to directly visualize the interactions between SAs and the graphene surface. These interactions facilitate the formation of dispersed nanoscale regions with high charge density and are highly sensitive to external electromagnetic (EM) fields, resulting in controllable dynamic relaxation processes for charge accumulation and restoration. This leads to customized dielectric relaxation, which is difficult to achieve with current band engineering methods. Moreover, these electronic behaviors are insensitive to elevated temperatures, having characteristics distinct from those of typical metallic or semiconducting materials. Based on these results, programmable EM wave absorption properties are achieved by developing a library of SA-graphene materials and precisely controlling SA-support interactions to tailor their responses to EM waves in terms of frequency and intensity. This advancement addresses the customized anti-EM interference requirements of electronic components, greatly enhancing the development of integrated circuits and micro-nano chips. Future efforts will concentrate on manipulating atomic interactions in SA-support, potentially revolutionizing nanoelectronics and optoelectronics.

Recent Advances of Electrode Materials Applied in an Electrochromic Supercapacitor Device.

An electrochromic supercapacitor device (ESD) is an advanced energy storage device that combines the energy storage capability of a supercapacitor with the optical modulation properties of electrochromic materials. The electrode materials used to construct an ESD need to have both rich color variations and energy storage properties. Recent advances in ESDs have focused on the preparation of novel electrochromic supercapacitor electrode materials and improving their energy storage capacity, cycling stability, and electrochromic performance. In this review, the research significance and application value of ESDs are discussed. The device structure and working principle of electrochromic devices and supercapacitors are analyzed in detail. The research progress of inorganic materials, organic materials, and inorganic/organic nanocomposite materials used for the construction of ESDs is discussed. The advantages and disadvantages of various types of materials in ESD applications are summarized. The preparation and application of ESD electrode materials in recent years are reviewed in detail. Importantly, the challenges existing in the current research and recommendations for future perspectives are suggested. This review will provide a useful reference for researchers in the field of ESD electrode material preparation and application.

Healthcare Application of Failure Mode and Effect Analysis (FMEA): Is There Room in the Infectious Disease Setting? A Scoping Review.

Background: Failure mode and effect analysis (FMEA) is a valuable risk analysis tool aimed at predicting the potential failures of a system and preventing them from occurring. Since its initial use, it has also recently been applied to the healthcare setting, which has been made progressively more complex by technological developments and new challenges. Infection prevention and control (IPC) is an area that requires effective strategies. The aim of this study is to review the literature on the employment of FMEA in the healthcare environment, with special consideration for its application in the infectious disease setting. Methods: An extensive search was carried out in two international and public databases, PUBMED and EMBASE; we included all studies regarding the use of FMEA in hospital settings and human patient care processes. Results: A total of 163 studies published over the period from 2003 to 2023 were included for data extraction. These studies were analyzed regarding bibliometric data (publication year and country of origin), the healthcare issues to be addressed, the application fields, and the utilized FMEA methods. Among these, 13 studies were found that took an interest in infectious diseases. Conclusions: FMEA can be effectively used for healthcare risk assessment. Its implementation as a standard tool in healthcare settings, though demanding, may serve as an important tool for preventing the risk of biohazard incidents, epidemics, and environmental contamination, thereby improving safety for both patients and healthcare workers.

Recent Advances of 3-Hetero-substituted 4H-pyrido[1,2-a]pyrimidin-4-one: A Review

Late-stage functionalization of pyrido[1,2-a]pyrimidin-4-one at pyrimidine ring structure is crucial to design pharmaceuticals, agrochemicals and materials for sustainable development. 4Hpyrido[ 1,2-a]pyrimidin-4-ones skeleton, a potent privileged scaffold, ubiquitously exists in numerous bioactive natural and pharmacologic products. Scope of different synthetic methods including their synthetic application to design new materials and biological activity of differently substituted 4Hpyrido[ 1,2-a]pyrimidin-4-ones are of main interest. Researchers are relentlessly working to develop more efficient and ecofriendly methods for their synthesis. This review provides, a comprehensive discussion of the recent advancements in the field of synthesis and application of 3-heterosubstituted 4H-pyrido[1,2-a]pyrimidin-4-one for sustainable development.

Exploring the Rise of Smart Wearables: A Bibliometric Analysis on the Growing Use of Fitness Applications Among Athletes

This study explored the rise of smart wearables as an emerging area of research in the field of fitness applications by athletes and aims to contribute to the growing body of knowledge on the intersection of sports, technology, and health. Vos-viewer and R-studio were used to conduct the bibliometric analysis of the data extracted from the Scopus database in the usage of fitness applications by the participants in sports and other physical activities. To gain a holistic view of the current research field, clustering by keywords coupling was used to identify the significant research themes and provide suggestions for future research. The cluster labeled “Smart wearables to access the fitness” is ranked 1 based on highest cluster frequency, centrality, and impact. The findings of thematic analysis of keywords suggest some motor themes, basic themes, niche themes, and emerging themes, as the usage of smart wearables is found to be an emerging theme regarding the increasing utilization of fitness applications by athletes, which suggests the need to integrate fitness applications in physical education to promote fitness in children. The findings also provide valuable insights into trends and advancements in the field of fitness applications, highlighting the potential benefits for athletes, trainers, and researchers alike. As smart wearables continue to evolve, they are expected to play an increasingly integral role in optimizing sport performance and fostering a new era of data-driven training methodologies.

Augmented and virtual reality in surgery: fields of application and exploratory studies exemplified by VIVATOP : Perioperative surgical planning and intraoperative support

Digital technologies, such as virtual and augmented reality (VR and AR) are mainly used in the preclinical and clinical phases in neurosurgery and orthopedics. In contrast, they are used less frequently in visceral surgery as the intraoperative deformation is challenging for the clinical use. The application of VR is used successfully particularly in education and training. In addition to current areas of application, this article highlights the results of the Federal Ministry of Education and Research (BMBF) project "Versatile Immersive Virtual and Augmented Tangible OP (= surgery)" (VIVATOP). In this project AR and VR technologies in combination with 3D printing as demonstrators were newly or further developed. AVR planning tool for partial liver resection, the development of 3D holograms for intraoperative AR support and an avatar telemedicine function as well as a3D printed model for training purposes were developed. The clinical results of the intraoperative AR support with the primary endpoint of operation duration and the secondary endpoints of the duration of hospitalization and intensive care unit stay as well as complication rates are compared with ahistorical cohort and the results are contextualized.