bluuebunny/crossref_metadata_2025_split huggingface dataset:
Manual support during robotic-assisted percutaneous coronary intervention
Authors: Bay Benjamin , Goßling Alina , Rilinger Jonathan , von zur Mühlen Constantin , Hofmann Felix , Nef Holger , Möllmann Helge , Kellner Caroline , Seiffert Moritz , Brunner Fabian J. 
Published: February 2025

Abstract

Background
Robotic-assisted percutaneous coronary intervention (R-PCI) is an efficacious and safe treatment option for coronary artery disease. However, predictors of manual support during R-PCI are unknown, which we aimed to investigate in a multi-center study.

Methods
We utilized patient-level data from R-PCIs carried out from 2020 to 2022 at four sites in Germany. Manual support was defined as the combination of partial manual assistance, where the procedure is ultimately completed using robotic techniques, and manual conversion. A two-step selection process based on akaike information criteria was used to identify the ideal multivariable model predicting manual support.

Results
In 210 patients (median age 69.0 years; 25.7% female), a total of 231 coronary lesions were treated by R-PCI. Manual support was needed in 46 lesions (19.9%). Procedures requiring manual support were associated with significantly longer procedural times, greater total contrast fluid volumes, longer fluoroscopy times, and higher dose-area products. Amongst the predictors of manual support were lesions in the left anterior descending artery [OR: 1.09 (95%-CI: 0.99–1.20)], aorto-ostial lesions [OR: 1.35 (95%-CI: 1.11–1.64)], chronic total occlusions [OR: 1.78 (95%-CI: 1.38–2.31)], true bifurcations [OR: 1.37 (95%-CI: 1.17–1.59)], and severe calcification [OR: 1.13 (95%-CI: 1.00–1.27)].

Conclusion
Our findings reveal that nearly one out five of patients undergoing R-PCI required manual support, which was linked to longer procedure durations. Predictors of manual support reflected characteristics of more complex coronary lesions. These results highlight the limitations of current R-PCI platforms and underscore the need for technical advancements to address different clinical scenarios.

Graphical abstract
Predictors for manual support during robotic-assisted percutaneous coronary intervention. 95%-CI: 95%-confidence interval, DES: Drug eluting stent, OR: Odds ratio, LAD: Left anterior descending coronary artery, R-PCI: robotic-assisted percutaneous coronary intervention.
Complications associated with subsequent tunneled central venous access device placement in children: a retrospective cohort study
Authors: Moraleda Guyol Ines , Selvamoorthy Thanusiah , Siaj Ramsi , Kolorz Julian , Sabo Jan , Berger Michael , Jeske Julia 
Published: February 2025

Abstract
Central venous access devices (CVADs) are vital instruments in pediatric healthcare, enabling the administration of critical treatments such as chemotherapy and parenteral nutrition. However, despite their advantages, CVADs carry a significant risk of complications, including infections, mechanical failures, and thrombotic events. From the current literature, it is unknown whether previous CVAD placements lead to an increased risk for complications in subsequent CVAD placements. We retrospectively analyzed data regarding tunneled, surgically implanted CVADs in children over a period of 2 years at a single tertiary pediatric center regarding their complications. Between 2021 and 2022, 328 CVAD implantations were performed in 313 children. The average age at implantation was 6.6 ± 5.5 years, while most of the patients were younger than 5 years old. During the study period, a total of 102 complications occurred in 96 patients. Most frequent complications were infections (18.29% of all implantations), followed by dislocation of the catheter tip (6.4 0%) and mechanical dysfunctions (4.27%). No patient died from a complication. The choice of catheter type (Port versus Broviac) showed a significant influence on the occurrence of complications (hazard ratio of 3.964 (95% CI 1.993–7.886; p < 0.001). The risk of infection and dislodgement was also higher when comparing Broviac with Ports implantations (infection: HR = 3.236; 95% CI 1.239–8.454; p = 0.017; dislodgement: HR = 5.781; 95% CI 1.229–27.193; p = 0.026). Cox regression showed a statistically significant higher risk of complications (especially infections) when the catheter was inserted via venous cutdown instead of percutaneous puncture technique (complications: HR = 6.709; 95% CI 1.776–25.337; p = 0.005; infections: HR = 7.28; 95% CI 1.096–48.379; p = 0.04). Cox regression did not show a statistically significant influence on complications for neither of the following factors: age, gender, weight, and oncological/non-oncological diagnosis. The complication rate for patients with previous CVAD was nearly the same as for patients who received a CVAD for the first time (previous CVAD: 29.17%; no previous CVAD: 30.74%).

Conclusion: Our study challenges conventional assumptions regarding the impact of previous CVAD placements on complication rates. Nevertheless, ongoing vigilance and adherence to standardized protocols remain crucial in mitigating risks and improving outcomes in pediatric CVAD management.

What is Known:
• Risk factors predisposing for CVAD-related complications remain insufficiently understood.
• It is unknown whether previous CVAD placements lead to an increased risk for complications in subsequent CVAD placements.
What is New:
• The complication rate for patients with previous CVAD appears to be the same as for patients who receive a CVAD for the first time.
Integrating Spectrahedra
Authors: Vill Julian 
Published: February 2025

Abstract
Given a linear map on the vector space of symmetric matrices, every fiber intersected with the set of positive semidefinite matrices is a spectrahedron. Using the notion of the fiber body we can build the average over all such fibers and thereby construct a compact, convex set, the fiber body. We show how to determine the dimensions of faces and normal cones to study the boundary structure of the fiber body. We use this to study the fiber body of Gram spectrahedra in the case of binary sextics and ternary quartics and find a large amount of structure on the fiber body. We prove that the fiber body in the case of binary sextics has exactly one face with a full-dimensional normal cone, whereas the Gram spectrahedron of a generic positive binary sextic has four such points. The fiber body in the case of ternary quartics has a drastically different boundary structure compared to Gram spectrahedra of ternary quartics.
Fuzzing frameworks for server-side web applications: a survey
Authors: Dharmaadi I Putu Arya , Athanasopoulos Elias , Turkmen Fatih 
Published: February 2025

Abstract
There are around 5.3 billion Internet users, amounting to 65.7% of the global population, and web technology is the backbone of the services delivered via the Internet. To ensure web applications are free from security-related bugs, web developers test the server-side web applications before deploying them to production. The tests are commonly conducted through the interfaces (i.e., Web API) that the applications expose since they are the entry points to the application. Fuzzing is one of the most promising automated software testing techniques suitable for this task; however, the research on (server-side) web application fuzzing has been rather limited compared to binary fuzzing which is researched extensively. This study reviews the state-of-the-art fuzzing frameworks for testing web applications through web API, identifies open challenges, and gives potential future research. We collect papers from seven online repositories of peer-reviewed articles over the last ten years. Compared to other similar studies, our review focuses more deeply on revealing prior work strategies in generating valid HTTP requests for attack surface exploration, utilising security feedback from the Web Under Tests (WUTs), and expanding input spaces to uncover more security-related bugs. The findings of this survey indicate that several crucial challenges need to be solved, such as less effective web instrumentation and the complexity of handling microservice applications. Furthermore, some potential research directions are also provided, such as fuzzing for web client programming. Ultimately, this paper aims to give a good starting point for further research in web API fuzzer.
Efficacy of Fine-Tuned Large Language Model in CT Protocol Assignment as Clinical Decision-Supporting System
Authors: Kanemaru Noriko , Yasaka Koichiro , Okimoto Naomasa , Sato Mai , Nomura Takuto , Morita Yuichi , Katayama Akira , Kiryu Shigeru , Abe Osamu 
Published: February 2025

Abstract
Accurate CT protocol assignment is crucial for optimizing medical imaging procedures. The integration of large language models (LLMs) may be helpful, but its efficacy as a clinical decision support system for protocoling tasks remains unknown. This study aimed to develop and evaluate fine-tuned LLM specifically designed for CT protocoling, as well as assess its performance, both standalone and in concurrent use, in terms of effectiveness and efficiency within radiological workflows. This retrospective study included radiology tests for contrast-enhanced chest and abdominal CT examinations (2829/498/941 for training/validation/testing). Inputs involve the clinical indication section, age, and anatomic coverage. The LLM was fine-tuned for 15 epochs, selecting the best model by macro sensitivity in validation. Performance was then evaluated on 800 randomly selected cases from the test dataset. Two radiology residents and two radiologists assigned CT protocols with and without referencing the output of LLM to evaluate its efficacy as a clinical decision support system. The LLM exhibited high accuracy metrics, with top-1 and top-2 accuracies of 0.923 and 0.963, respectively, and a macro sensitivity of 0.907. It processed each case in an average of 0.39 s. The LLM, as a clinical decision support tool, improved accuracy both for residents (0.913 vs. 0.936) and radiologists (0.920 vs. 0.926 without and with LLM, respectively), with the improvement for residents being statistically significant (p = 0.02). Additionally, it reduced reading times by 14% for residents and 12% for radiologists. These results indicate the potential of LLMs to improve CT protocoling efficiency and diagnostic accuracy in radiological practice.
Existence and Uniqueness Results for Generalized Non-local Hallaire-Luikov Moisture Transfer Equation
Authors: Ilyas Asim , Malik Salman A. , Suhaib Kamran 
Published: February 2025

Abstract
This article focuses on inverse problem for Hallaire-Luikov moisture transfer equation involving Hilfer fractional derivative in time. Hallaire-Luikov equation is used to study heat and mass transfer in capillary-porous bodies. Spectral expansion method is used to find the solution of the inverse problem. By imposing certain conditions on the functions involved and utilizing certain properties of multinomial Mittag-Leffler function, it is shown that the solution to the equation, known as the inverse problem, is regular and unique. Moreover, the inverse problem exhibits ill-posedness in the sense of Hadamard. The article ends with an example to demonstrate these theoretical findings.
Neuroinflammaging and the Immune Landscape: The Role of Autophagy and Senescence in Aging Brain
Authors: Tamatta Rajesh , Pai Varsha , Jaiswal Charu , Singh Ishika , Singh Abhishek Kumar 
Published: February 2025

Abstract
Neuroinflammation is closely linked to aging, which damages the structure and function of the brain. It is caused by the intricate interactions of immune cells in the aged brain, such as the dysregulated glial cells and the dysfunctional astrocytes. Aging-associated chronic low inflammation, referred to as neuroinflammaging, shows an upregulated proinflammatory response. Autophagy and senescence play crucial roles as moderators of aging and neuroinflammatory responses. The dysregulated neuroimmune system, dystrophic glial cells, and release of proinflammatory factors alter blood-brain barrier, causing a neuroinflammatory landscape. Chronic inflammation combined with deteriorating neurons exacerbate neurological disorders and decline in cognitive function. This review highlights the neuroinflammaging and mechanism associated with immune cells interplay with central nervous system and aging, cellular senescence, and autophagy regulation in the brain's immune system under neuroinflammatory conditions. Moreover, the roles of microglia and peripheral immune cells in the neuroinflammatory process in the aging brain have also been discussed. Determining treatment targets and comprehending mechanisms that influence immune cells in the aged brain is necessary to decrease neuroinflammation.
Investıgatıon of seam performance and bıodegradabılıty of organıc cotton clothes for theır sustaınabılıty
Authors: Özbey Hatice Kübra , Gürarda Ayça 
Published: February 2025

Abstract
In recent years, it has become important for a sustainable environment that clothes are biodegradable, and that unused clothing does not pollute the environment by decomposing in nature. Cotton, especially organic cotton, can decompose very quickly in nature. Since organic clothing production has become important in recent years, the seam performance and biodegradability of these products, unlike conventional products, are important in creating new data for the textile and clothing industry. This paper presents an experimental study of the seam performance and biodegradability properties of organic clothes for their sustainability. In this study, six groups of fabrics with a plain weave structure were produced to examine the seam performance and biodegradability of clothes made of organic cotton woven fabrics. Each group includes three different samples of the fabric: conventional cotton fabric dyed with reactive dyes, organic cotton fabric dyed with reactive dyes, and organic cotton fabric dyed with natural dye. Therefore 18 samples having different properties were obtained. Fabric breaking strength, seam strength, seam efficiency and biodegradability tests of these fabric samples were determined. Sample women's blouses were sewn from the fabric samples used in the experimental study, and the blouse appearances were visually presented on the mannequin.
Using an acellular dermal matrix as a neuroprotective wrap-around for treating recurrent nerve entrapment syndromes: a proof of concept
Authors: Wagner Till , Ulrich Dietmar J. O. 
Published: February 2025

Abstract
Recurrent nerve entrapment syndrome is a well-known complication in peripheral nerve surgery that often leads to multiple reoperations and increases the risk of unfavorable outcomes due to scarring. In our outpatient clinic, we found two patients with recurrent nerve entrapment syndrome with significant symptoms such as complete sensory loss and chronic pain who were willing to undergo re-exploration of their entrapped nerves and cover them with a human acellular dermal matrix (ADM) as a protective shield against recurrence. Both patients had complete recovery of the nerve entrapment syndrome with satisfactory clinical results. The use of a human ADM appears to be a promising tool for recurrent nerve entrapment surgery without adding morbidity to the procedure.
Dimethyl sulfoxide–induced DNA demethylation during vitrification of early cleavage-stage embryos and possible countermeasures
Authors: Shida M. , Ito J. , Inoue Y. , Hara S. , Shirasuna K. , Iwata H. 
Published: February 2025

Abstract

Purpose
Dimethyl sulfoxide (DMSO) alters DNA methylation in vitrified-warmed embryos and potentially affects subsequent development. This study aimed to examine possible countermeasures against DMSO-induced demethylation.

Methods
In vitro-produced bovine embryos (8-cell stage) were vitrified using a combination of DMSO and ethylene glycol (EG) or propylene glycol (PG) + EG. After warming, the lipid content and expression levels of 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC), DNMTs, and TETs were examined. In addition, RNA-sequencing was performed on blastocysts derived from the vitrified embryos. Furthermore, the effect of supplementation with a vitrification medium containing DMSO and N-acetyl-l-cysteine (NAC, 5 mM) on the levels of 5mC in embryos was examined.

Results
Vitrification decreased the levels of 5mC and increased the levels of 5hmC in 8-cell stage embryos. Low levels of 5mC persisted until the blastocyst stage in the DMSO group but increased in the PG group. The expression level of TET3A was higher in the DMSO group than in the fresh group, but not in the PG group. Both cryoprotectants reduced the lipid levels in post-warmed 8-cell stage embryos. The addition of NAC ameliorated DMSO-induced demethylation at both the 8-cell and blastocyst stages. RNA-seq analysis revealed that PG-specific pathways included ribosomes and mitochondria and that both DMSO and PG affected cGMP-PGK, MAPK, Wnt, and insulin secretion–related signaling. The K-medoids method predicted that DMSO affected cell adhesion molecules and that MAPK signaling was affected the most.

Conclusions
PG and NAC may antagonize DMSO-induced demethylation; however, PG exerts adverse effects on embryos.
Interpolation and SAT-Based Model Checking Revisited: Adoption to Software Verification
Authors: Beyer Dirk , Lee Nian-Ze , Wendler Philipp 
Published: February 2025

Abstract
The article Interpolation and SAT-Based Model Checking (McMillan in: Proc. CAV 2003, LNCS, Springer [56]) describes a formal-verification algorithm, which was originally devised to verify safety properties of finite-state transition systems. It derives interpolants from unsatisfiable BMC queries and collects them to construct an overapproximation of the set of reachable states. Although 20 years old, the algorithm is still state-of-the-art in hardware model checking. Unlike other formal-verification algorithms, such as "Image missing" or PDR, which have been extended to handle infinite-state systems and investigated for program analysis, McMillan’s interpolation-based model-checking algorithm from 2003 has not been used to verify programs so far. Our contribution is to close this significant, two decades old gap in knowledge by adopting the algorithm to software verification. We implemented it in the verification framework CPAchecker and evaluated the implementation against other state-of-the-art software-verification techniques on the largest publicly available benchmark suite of C safety-verification tasks. The evaluation demonstrates that McMillan’s interpolation-based model-checking algorithm from 2003 is competitive among other algorithms in terms of both the number of solved verification tasks and the run-time efficiency. Our results are important for the area of software verification, because researchers and developers now have one more approach to choose from.
Dynamic reference camera selection for free-viewpoint video multicast streaming
Authors: Huszák Árpád 
Published: February 2025

Abstract
Free-viewpoint video (FVV) is an advantageous technology that allows users to interactively change their viewpoint or perspective when viewing a video or a scene. It provides a three-dimensional, dynamic, and immersive viewing experience, allowing users to explore a video scene from different angles and viewpoints as if they were present within the scene. FVV requires transmitting multiple video streams with depth information for different perspectives simultaneously. This places a significant burden on network bandwidth and infrastructure, leading to congestion and potential service degradation. The paper investigates dynamic reference camera grouping approaches, which are based on the users’ specific viewpoint needs. The primary goal of these methods is to minimize the network bandwidth necessary for transmitting reference color and depth camera sequences, thus enabling the provision of interactive FVV services in networks with limited resources. To achieve a reduction in the number of essential camera streams, we introduce dynamic reference camera selection methods that effectively identify shared reference camera pairs capable of serving multiple users for their individual viewpoint synthesis requirements. We found that among the investigated methods, DBSAN performance was the most balanced among the investigated algorithms, achieving 10–20% network load decrease, depending on the network complexity.
A strategic approach to the development of sustainable rural tourism using the A’WOT–TOWS method: an example from the hydroelectric power plant (HPP) in Turkey
Authors: Kürüm Varolgüneş Fatma , Doğan Ebru , del Río-Rama María de la Cruz 
Published: February 2025

Abstract
This article critically examines the use of land in the development of hydroelectric power plants (HPPs) and provides actionable recommendations for establishing tourism destinations. The study assesses the impacts of these facilities on regional tourism and recreational areas, identifying key factors and motivations driving the region’s utilization for tourism activities. These insights were derived from comprehensive surveys and interviews with both visitors and local residents. The study employs hybrid methodologies, including A’WOT and TOWS analyses, to develop strategies that capitalize on regional strengths, address weaknesses, exploit opportunities, and mitigate potential threats. The outcomes of these methodologies provide a framework for sustainable development by integrating adaptation and conservation strategies to minimize damage in regions impacted by HPPs. The findings underscore the importance of balancing energy production with the promotion of sustainable tourism for local economic development. This research offers valuable recommendations for Turkey and other countries undergoing similar planning processes, emphasizing the role of HPPs in fostering eco-friendly tourism destinations.
Coverage matters: identifying and mitigating sampling frame issues in recreational fishing surveys
Authors: Taylor S. M. , de Groote A. , Hyder K. , Vølstad J. H. , Hartill B. W. , Foster J. , Andrews R. , Ryan K. L. 
Published: February 2025

Abstract
Surveys play an integral part in monitoring and maintaining sustainable recreational fisheries. For any probabilistic survey, the selection of a sampling frame (e.g., list of individuals or fishers) is an important decision because it influences the ability to provide unbiased estimates of recreational catch and effort. Undercoverage occurs when units of the target population (i.e., the population of interest) are missing from the frame population. This error can undermine the reliability of research advice generated from survey estimates. In this review, we: (i) define six sampling frame configurations that are commonly applied in probabilistic recreational fishing surveys; (ii) synthesise how coverage errors associated with each configuration have been addressed for marine recreational fisheries globally; (iii) outline approaches to identify and correct for coverage errors; and (iv) recommend how to future-proof coverage issues. In our six case studies, multiple types of undercoverage were identified and addressed to varying extents, depending on the characteristics of each fishery and type of sampling frame used. Generalised list frames (particularly phone lists) are arguably the most prone to undercoverage error. To assist in future-proofing surveys, we recommend: (1) considering coverage error during survey planning; (2) designing pilot surveys or scheduling concurrent surveys to evaluate and/or correct for potential bias; (3) recognising that coverage error often changes through time; (4) using technological or multi-frame approaches to mitigate coverage error; (5) considering model-based survey tools to correct for undercoverage; and (6) documenting the sampling frame and potential sources of coverage error in publications. These recommendations extend to inland recreational fisheries, commercial fishing surveys and fisheries-independent surveys.

Graphical abstract