bluuebunny/crossref_metadata_2025_split huggingface dataset:
Penggunaan Serat Pandan Duri (Pandanus tectorius) Sebagai Pengganti Fiber Glass pada List Profil Gypsum
Authors: Rahmadanisa Assyifa , Lestari Puji Dewi , Fauziyah Shifa , Hartono H 
Published: September 2023

The gypsum profile list is a material made from gypsum flour which in its manufacture uses fiberglass as reinforcement to strengthen the gypsum profile list. Currently, natural fibers are being developed so that they can be alternative materials to replace fiberglass or synthetic fibers which are difficult to decompose. One of the natural fibers is pandan leaf fiber which is included in the Pandanaceae family such as pandanus thorns. Thorn pandanus are known to have long, strong, and flexible leaves. The purpose of this study was to determine whether thorn pandanus fiber with certain variations can be used as a substitute for fiberglass in the manufacture of gypsum profile lists. In addition to knowing the composition of the mixture between thorn pandanus fiber and gypsum flour in order to obtain the optimum composition. This research refers to SNI 01-4449-2006 regarding fiberboard for testing density, thickness expansions, and flexural strength while testing water absorption using FAO standards. Based on the test results, it was found that the most optimum composition of the gypsum profile list mixture was found in sample B with 99% gypsum flour: 1% thorn pandanus fiber which had a density value of 0.805 g/cm3, a water absorption value of 27.87%, a thickness expansion of 1.92 %, and flexural strength 10410.7 kgf/cm2 due to the results of density, thickness expansion, and flexural strength complies with SNI 01-4449-2006 standards regarding fiberboard while the water absorption test complies with FAO standards. Keywords: gypsum profile list, thorn pandanus fiber, gypsum flour
Inovasi Pemanfaatan Serat Polypropylene dan Limbah Abu Cangkang Sawit sebagai Bahan Subtitusi Beton
Authors: Saputra Rizal Andika , Pratama Luthfi Helmi , Widodo Puji , Susanti Riza 
Published: September 2023

The existence of infrastructure development has increased rapidly in encouraging global competitiveness, including infrastructure development in Indonesia. In infrastructure development, there are many aspects that must be considered. The planning stage is the most important stage in infrastructure development, because it will determine the quality of the building to be produced. Therefore, infrastructure development in Indonesia must use good construction material design to improve the quality of buildings and minimize the impact of damage to buildings. One of the alternative efforts made is to improve the quality of building quality by utilizing materials that can reduce expensive development costs and are more environmentally friendly. The use of palm kernel shell ash and polypropylene fiber waste can be an alternative solution to this problem. The research method carried out is quantitative experimental conducted in the laboratory with variations in test objects in the form of (0% ACS; 0% PP); (6 % ACS;0% PP); (0 % ACS;6% PP); (3% ACS;3% PP) tested for compressive strength and flexural strength at 28 days concrete life. Palm kernel shell ash waste was chosen as an added material for concrete mixture because it has the same properties as cement, namely silica (SiO4), while polypropylene fiber was chosen because it can function as a filler that binds hollow concrete. From the research that has been done, several variations of test objects that have been made have been made then have gone through a testing process and compared to normal concrete K-300, modified concrete (3% ACS; 3% PP) is concrete with optimum variations that are more efficient and have high quality in compressive and flexural strength test results, which are 31,174 MPa and 30 MPa from normal concrete quality results.
Theological and Biblical Foundations for Performance Ethics in Congregational Worship
Authors: Odiase Rev. Yeside 
Published: September 2023

Changes in global trends are throwing up discordant views in Christian worship which requires a biblical-theological approach to maintain a balance. This paper advocates for the necessity of standard ethics that is guided by theological and biblical principles for congregational worship. These guiding principles entrenched in the Old and New Testaments are fundamental to meaningful worship. The article examines the meaning of performance ethics, the concept of congregational worship, biblical and theological concepts of performance ethics in worship and the concept of congregational music in worship. The paper concludes with the recommendation that congregational worship which includes church music should be guided by biblical principles underpinning actions, liturgy and disposition with robust performance ethics to enrich worship and glorify God.
Identification of Surgical Instruments Using a Low Frequency Magnetic Field
Authors: Ibrahim Ibrahim , Draeger Tobias , Wittenberg Thomas 
Published: September 2023

Abstract
Background: As part of a open surgical intervention, it is desirable to identify, track and count the surgical instruments used, in order to document and potentially optimize the process. In the past, various technologies have been proposed to this end, as e.g. RFIDs attached to or included in the instruments, contact-less identification by image analysis or (bar-, QR-) codes, or counting by human resources, but all of them having their individual drawbacks. Objective: We present and evaluate a new method to identify metallic-conductive surgical instruments using Low Frequency (LF) magnetic fields. Method: The investigated LF magnetic field approach is based on the IndLoc system developed by the Fraunhofer IIS - originally for metallic asset identification within the field of supply chain management - and is applied on small collection of 13 typical surgical tools (four scissors, two needle holders, four tweezers, two retractors, a bone curette) for open surgery. Results: 9 out of the 13 instruments can be correctly identified, two pairs (2 short and 2 medium tweezers) are too self-similar and could not discriminated correctly from each other. Conclusion: These initial experiments show that an LF-based identification of metallic surgical tools is feasible, but the system needs to be modified (with more and smaller coils) to increase the geometrical resolution to better distinguish between self-similar and potentially more objects.
Therapy monitoring of psoriatic arthritis patients with and without skin involvement via objective evaluation of near infrared fluorescence optical imaging: A pilot study
Authors: Zerweck Lukas , Wesarg Stefan , Köhm Michaela , Kohlhammer Jörn 
Published: September 2023

Abstract
In this work, we investigate the possibility of automatically and objectively evaluate an initialized therapy for psoriatic arthritis patients (therapy monitoring). Near infrared fluorescence optical imaging (NIR-FOI) is used to visualise the microcirculation in the hands, giving insights into possible inflammations (e.g. synovitis). Due to the time consuming and expansive data acquisition, we firstly investigate the feasibility of NIR-FOI in this scope of application using retrospective data. To increase the data quality and harmonize the heterogeneous patient population, certain inclusion criteria must be met, leaving only a limited amount of data sets for data analysis. A neural network was trained to segment the hands into areas of interest (e.g. joints and fingers) and an image registration pipeline was developed to compare identified regions of interest among different patient visits. It is shown that data from different visits are not directly comparable and thus, needs to be normalised. Due to the limited amount of meta data, only a simple normalisation can be performed. Even though with this normalisation the therapy monitoring cannot be carried out, the normalised data shows an increased agreement to a medical label in comparison to unnormalised data. Therefore, we conclude that further research can lead to a robust therapy monitoring algorithm.
Actively shielded capacitive proximity sensor for endoscopy
Authors: Giacoppo Giuliano A. , Mayer Juliane , Hartmann Julien , Bachmann Ada L. , Pott Peter P. 
Published: September 2023

Abstract
Flexible endoscopes are widely used for diagnostic and therapeutic procedures on internal organs and tissue surfaces. Accurate positioning of the endoscope tip is critical for obtaining clear images and avoiding tissue damage. Proximity sensors can provide information about the distance to the surrounding tissue, which can help align the endoscope tip and navigate along curved paths. This paper presents a method of proximity measurement using capacitive sensors with active shielding to determine the radial distance between an endoscope and surrounding tissue. The capacitive sensor consists of four copper foil electrodes attached to a 9.5 mm diameter ring. Two different active shielding designs were investigated and compared to reduce the sensing angle and minimize lateral effects. Capacitance was measured as a function of distance using a linear stage. A MATLAB script controlled the linear stage and calculated the distance from the measured capacitance. The results showed that advanced active shielding could be useful to reduce the sensing angle (angular space where capacitance sensor detects capacitance changes.). This method provides a cost-effective solution for radial distance measurement in endoscopy, essential for improving diagnostic and therapeutic procedures.
A Statistical Shape Model Pipeline to Enable the Creation of Synthetic 3D Liver Data
Authors: Krnjaca Denis , Krames Lorena , Schaufelberger Matthias , Nahm Werner 
Published: September 2023

Abstract
The application of machine learning approaches in medical technology is gaining more and more attention. Due to the high restrictions for collecting intraoperative patient data, synthetic data is increasingly used to support the training of artificial neural networks. We present a pipeline to create a statistical shape model (SSM) using 28 segmented clinical liver CT scans. Our pipeline consists of four steps: data preprocessing, rigid alignment, template morphing, and statistical modeling. We compared two different template morphing approaches: Laplace-Beltrami-regularized projection (LBRP) and nonrigid iterative closest points translational (N-ICP-T) and evaluated both morphing approaches and their corresponding shape model performance using six metrics. LBRP achieved a smaller mean vertex-to-nearest-neighbor distances (2.486±0.897 mm) than N-ICP-T (5.559±2.413 mm). Generalization and specificity errors for LBRP were consistently lower than those of N-ICP-T. The first principal components of the SSM showed realistic anatomical variations. The performance of the SSM was comparable to a state-of-the-art model.
Reflection of the Medical Device Regulation
Authors: Sojka Karolina , Sohrabi Keywan , Gross Volker , Scholtes Michael 
Published: September 2023

Abstract
The MDR states the objectives of the law in the preface. There you will find, among other things, a consideration of small and medium-sized enterprises as well as high health protection and an innovative effect. Therefore, the question arises to what extent these goals have been achieved so far or can be achieved in the foreseeable future. To this end, a systematic literature review was conducted to present the perspectives of various stakeholders in the healthcare sector. Critical situations certainly arise for certain manufacturers, Notified Bodies and certain patient groups. The adopted extension of the transitional periods could be helpful but will not solve all problems.
A comparative evaluation of spatial pooling methods for surgical tool detection
Authors: Abdulbaki Alshirbaji Tamer , Aldeen Jalal Nour , Docherty Paul D. , Neumuth Thomas , Moeller Knut 
Published: September 2023

Abstract
Surgical tool detection is an important aspect for recognising surgical activities and understanding surgical workflow. Laparoscopic videos represent an information source that can be used for recognising surgical tools. However, manual labelling of tool incidence and location in such data is extremely time intensive. Therefore, weaklysupervised approaches have been developed to perform tool localisation. In this study, three types of spatial pooling methods were implemented to evaluate the influence of each method on the performance of weakly-supervised model. The best achieved performance was a mean average precision (mAP) of 94% for tool classification and a f1-score of 70% for tool localisation. Experimental results showed the importance of selecting an appropriate pooling function to enhance model performance.
Contactless camera-based AHI score estimation in SAS patients
Authors: Alic Belmin , Zauber Tim , Wiede Christian , Viga Reinhard , Seidl Karsten 
Published: September 2023

Abstract
Sleep apnea syndrome (SAS) is a common sleeprelated breathing disorder characterized by recurring cessations of airflow during sleep. The gold standard for diagnosing SAS is polysomnography (PSG) which requires the patient to spend one or several nights in a sleep clinic. A PSG involves a significant amount of contact-based sensors, which leads to discomfort and deviations in sleep behavior. In this work, a contactless, multispectral camera-based approach for the autonomous detection of events of nocturnal airflow reduction is presented. The detected events are further employed in estimators of sleep diagnostic metrics, such as the apnea-hypopnea index (AHI) and the SAS stage. The AHI estimation resulted in a Pearson correlation coefficient of r = 0.9993. The SAS stage estimator correctly predicted the SAS stage for all three recruited patients.
Conveyor-based robot allows fast and safe instrument handling in the operating room
Authors: Yamashita Keisuke , Wex Cora , Croner Roland , Boese Axel 
Published: September 2023

Abstract
According to [1]-[3], the healthcare systems are suffering from severe personnel shortages with a lack of medical care workers, operating room nurses, and surgical technicians. This deficiency will become worse in the upcoming decades. Automatization of highly standardized procedures could be a promising approach to address this issue. We designed a new concept for the automated handover and return of surgical instruments to the surgeon in an operating theater scenario to relieve operating room personnel from their workload. In this setup, the surgical instruments are delivered pre-sorted in an upright position by the sterilization unit in an instrument basket or drum. A single-use, doublelayered, brushy conveyor belt system mounted on a robot arm acts as the connector between pick-position (instrument basket) and individually pre-definable hand-over-position. The system is placed next to the table inside the operation room (OR). Based on voice commands, the conveyor intake moves over to the selected instrument and delivers it to the surgeon in a fast and short motion. After use, the surgeon can feed the instrument into the intake at the handover position and place it back in the instrument basket. The robot arm allows precise maneuvering of the intake and output position. The concept was realized as a minimal-viable product and will be evaluated for further improvement.
Development of a camera-marker system (CMS) for locking nails during intramedullary osteosynthesis in large animals – First results
Authors: Walther Sebastian , Reuter Thomas , Grundmann Andreas , Preuß Friederike , Barnewitz Dirk 
Published: September 2023

Abstract
In large animals, fractures of the upper long tubular bones such as forearm and humerus as well as lower and upper leg, continue to represent a major surgical challenge. An implant and a corresponding surgical procedure for intramedullary osteosynthesis in fractures of long bones were developed at fzmb GmbH. Fixation of the implanted nail to the distal drill holes has proven to be difficult and requires a high level of X-ray monitoring. Therefore, a camera-marker system (CMS) was developed without the need for X-ray monitoring during drilling. The test was performed on 10 equine femora. The results showed that 8 of 10 implants could be securely fixed and no complications occurred in the experimental procedure. For the first two implants, the distal drill holes could not be hit in the first attempt. This is due to the circumstance, that the handling of the CMS needs to be practiced to hit the distal drill holes accurately and appropriately, resulting in a hit rate of 80 %. However, the described method has great potential and does not require X-ray exposure.
Investigation of knee joint stability in surgically repaired canine cruciate ligament ruptures by cyclic passive joint motions
Authors: Reuter Thomas , Grundmann Andreas , Siebert Jens , Preuß Friederike , Barnewitz Dirk 
Published: September 2023

Abstract
The cranial cruciate ligament (CCL) rupture is a prevalent injury in dogs. A consequence of a cruciate ligament rupture is instability in the affected knee joint. A veterinary, mostly surgical treatment of the cruciate ligament rupture is usually unavoidable. The suitability of an arthroscopic surgical method with ligament replacement material was investigated. The stability of the knee joint was determined several times during 1,200 passive robotic motion cycles with movement radius between 90° flexion and 140° extension. The stability condition was measured by triggering the drawer test. After 300 motion cycles, the drawer test could be triggered (positive drawer test). In the following movement cycles up to 1,200 cycles, the drawer test could also be triggered. However, no significant differences occurred between these triggered drawer tests. The ligament replacement material showed no damage and no loosening after the tests. The first results showed that the developed arthroscopic surgical method could be a promising approach for the surgical treatment of cruciate ligament ruptures in canines.
Auditory Neurons on the Silk Road – spider silk for bridging the nerve-electrode-gap
Authors: Schwieger Jana , Scheper Verena , Lenarz Thomas , Vogt Peter M. , Strauß Sarah 
Published: September 2023

Abstract
The cochlear implant (CI) restores hearing to patients with severe to profound sensorineural hearing loss by stimulating the spiral ganglion neurons (SGN). Due to the inner ear anatomy, a fluid-filled gap remains between the SGN and the electrode array. This gap impedes focused stimulation and thus optimized performance with the CI. Regenerating neurites may bridge this fluid-filled gap for a direct nerveelectrode- link but require a supportive matrix. Spider silk might be a suitable candidate for this support. Therefore, silk fibers were tested for biocompatibility with inner ear neuronal tissue, suitability as neurite outgrowth matrix and applicability to the CI-electrode array. Dragline silk from female Trichonephila spiders was woven around a frame and autoclaved. Spiral ganglia of young rats were prepared, cut and placed in a drop of medium on the parallel silk fibers for pre-cultivation to support adherence before remaining medium was added. After 5d of cultivation, cells were fixed and immunocytologically stained. For CIapplication, silk was wrapped around a silicone dummy and a one-sided spacer. Opposite the spacer, alginate-hydrogel was applied for silk-fixation and -shielding. After gelation, silk loops were cut in the middle to form protruding threads. Cells showed a high degree of migration and neurite regeneration along the silk fibers and in some cases the outgrown neurites directly contacted the silk. It was possible to fix the silk to the dummy as protruding fibers. The tested spider silk is compatible with the inner ear tissue in culture, supports cell growth and seems to be an attractive material for neurite contacting. Application to the CI as protruding fibers is possible, making it a promising candidate for structural support to bridge the nerve-electrode-gap.
Speech Intelligibility: Lateral Lisp Detection for Real-Time Monitoring
Authors: Munnich Patrick , Dederichs Stefanie , Klein Paula , Bruno Figura Carl 
Published: September 2023

Abstract
Correcting lisps in speech can prove to be of great difficulty to many, as they may be unaware of whether they are lisping. To help those affected, we have developed a simple algorithm for the real-time identification of the sigmatismus lateralis in ”S” sounds within speech via analysis in the frequency domain. The algorithm identifies peaks within the lisp’s frequency band after calibration. A frequency band of 3000-4000 Hz has been identified to be generally accurate for lisp and 2500-3000 Hz for the correct pronunciation for a single male test subject. The algorithm splits given speech recordings into smaller segments and compares the number of lisps and non-lisps detected in these segments to categorize. From tests, it was concluded that a segment length of 0.5 s produces the best results. The algorithm does not detect every lisp section, however it does not raise false positives. Our implementation in Julia with multi-threaded per-file analysis is able to analyze 20 files of lengths between 5 s and 10 s within 0.21 s on a Qualcomm Snapdragon 860 smartphone chipset, meaning analysis is far faster than real-time. The proposed algorithm is a simple prototype algorithm capable of realtime analysis of audio in the frequency domain to identify whether lateral lisps are the dominant sibilant pronunciation in a given window. The method was only tested for a single test subject. However, a calibration algorithm capable of adjusting parameters to new individuals is proposed. The algorithm itself should be easily expandable to identify other speech impediments.
U-Net-based SUV calculation in FDG-PET imaging of mice brain for enhanced analysis
Authors: Pashazadeh Ali , Jafarian Forough , Tanha Kaveh , Hoeschen Christoph 
Published: September 2023

Abstract
Positron emission tomography (PET) is a widely used imaging modality in nuclear medicine for a variety of applications. Amongst the methods used for the quantifying and interpretation of PET images, the standardized uptake value (SUV) is a widely-adopted semi-quantitative tool that supplements visual understanding with quantitative information. SUV is used in both clinical and preclinical practices to report the status of various normal organs and tumors under investigation using PET imaging. While the determination of SUVs is typically done manually, which can be tedious, artificial intelligence (AI) can be utilized to enhance the efficiency of the process. In this study, a U-Net-based approach was employed for semi-automated determination of SUV in FDG-PET scans of mice brains. First, a U-Net model was trained using 50 FDG-PET images of six mice to perform the automatic segmentation task. The trained model then delineated the brain of a mouse which was then processed by a short in-house code to extract data and calculate the SUV. The process was also replicated in a manual way for comparison purposes. The comparison of the results from the U-Net-based segmentation method and the conventional manual method at nine different time points revealed that there were errors of less than 4.5% in eight out of the nine-time points. Although our U-Net model’s performance needs improvement, adapting a well-trained AIbased approach for SUV determination, particularly in preclinical studies, can help reduce the workload of organ delineation and minimize associated errors, facilitating SUV determination.