bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring data flow design and vectorization with oneAPI for streaming applications on CPU+GPU
Authors: Campos Cristian , Asenjo Rafael , Navarro Angeles 
Published: January 2025

Abstract
In recent times, oneAPI has emerged as a competitive framework to optimize streaming applications on heterogeneous CPU+GPU architectures, since it provides portability and performance thanks to the SYCL programming language and efficient parallel libraries as oneTBB. However, this approach opens up a wealth of implementations alternatives in this type of applications: from how to design the data flow to how to exploit data parallelism. Choosing the best alternative is not trivial, so in this paper we analyze them and contribute with an analytical model based on queue theory that helps in the on-line selection of the alternative that maximizes the throughput and the occupancy of the CPU and GPU compute units. We explore the design space offered by: a) different APIs to define the data flow ( and Flow Graph from oneTBB, and SYCL from SYCL); b) alternative kernel implementations to express data parallelism (SYCL, AVX and ); and c) the mapping of the kernels into the available computing resources (CPU cores and GPU). The results show that the library can be 1.54x faster, 3% more energy efficient, and requires 7.36x less programming effort than AVX, and that implementations that enable asynchronous offloading of tasks to the devices as those based on SYCL and Flow Graph APIs outperform the other APIs, being up to 1.10x faster and up to 1.18x more energy efficient.
Intelligent energy pairing scheduler (InEPS) for heterogeneous HPC clusters
Authors: López Marta , Stafford Esteban , Bosque Jose Luis 
Published: January 2025

Abstract
In recent years, energy consumption has become a limiting factor in the evolution of high-performance computing (HPC) clusters in terms of environmental concern and maintenance cost. The computing power of these clusters is increasing, together with the demands of the workloads they execute. A key component in HPC systems is the workload manager, whose operation has a substantial impact on the performance and energy consumption of the clusters. Recent research has employed machine learning techniques to optimise the operation of this component. However, these attempts have focused on homogeneous clusters where all the cores are pooled together and considered equal, disregarding the fact that they are contained in nodes and that they can have different performances. This work presents an intelligent job scheduler based on deep reinforcement learning that focuses on reducing energy consumption of heterogeneous HPC clusters. To this aim it leverages information provided by the users as well as the power consumption specifications of the compute resources of the cluster. The scheduler is evaluated against a set of heuristic algorithms showing that it has potential to give similar results, even in the face of the extra complexity of the heterogeneous cluster.
Performance comparison in workflow efficiency between a remotely installed 3D workstation and an on-premises image processing workstation for dental cone-beam CT image reconstruction
Authors: Tanaka Ryoichi , Mouri Hiroki , Takahashi Noriaki , Izumisawa Mitsuru , Hoshino Masayuki , Sakamoto Riku , Kanamori Takaki , Shimamura Ami , Sakai Ryota , Kanno Emi , Sawano Motoi 
Published: January 2025

Abstract

Objectives
This study aims to compare the image processing times of dental cone beam CT (CBCT) images using a remote medical image processing workstation (RW) versus on-premises image processing (OP) and assess its impact on workflow efficiency.

Methods
Data from 100 CBCT cases were randomly selected and processed using the OP3D VISION 17-19DX (EH Japan Co., Ltd.). In the OP environment, OnDemand 3D Dental (Cybermed Inc.) was used on a local terminal, while the RW setup involved a remote workstation—ZIO STATION (Ziosoft Inc.) connected via a 2 Gbps network. Seven experienced dentists processed the same data in both environments, and various processing times, including data transfer, re-slicing, 3D reconstruction, and PACS transfer, were compared.

Results
The RW environment showed significantly shorter data transfer and re-slicing times than the OP environment. However, 3D image reconstruction times were similar between the two setups. Overall, processing time was significantly reduced in the RW environment. Variability in processing times among operators was observed, with most achieving reductions in the RW environment.

Conclusions
Remote processing of dental CBCT images using a dedicated image processing device offers equivalent or improved performance compared to on-premises processing. This approach can enhance workflow efficiency by reducing processing times and freeing up local resources, although further research is needed to optimize remote display protocols and multi-client access.
Usefulness of four-dimensional noise reduction filtering using a similarity algorithm in low-dose dynamic computed tomography for the evaluation of breast cancer: a preliminary study
Authors: Uraoka Daichi , Matsuda Megumi , Tanabe Yuki , Kawaguchi Naoto , Nishiyama Chihiro , Okada Ayaka , Uda Koichiro , Suekuni Hiroshi , Nishiyama Hikaru , Kamei Yoshiaki , Kurata Mie , Kitazawa Riko , Nakano Shota , Kido Teruhito 
Published: January 2025

Abstract

Purpose
To evaluate the effects of four-dimensional noise reduction filtering using a similarity algorithm (4D-SF) on the image quality and tumor visibility of low-dose dynamic computed tomography (CT) in evaluating breast cancer.

Materials and methods
Thirty-four patients with 38 lesions who underwent low-dose dynamic breast CT and were pathologically diagnosed with breast cancer were enrolled. Dynamic CT images were reconstructed using iterative reconstruction alone or in combination with 4D-SF. We selected the peak enhancement phase image of breast cancer for each patient for quantitative and qualitative evaluations of image quality and measurement of the maximum diameter of breast cancer. The signal-to-noise and contrast-to-noise ratios were calculated for quantitative evaluation. The maximum diameters of the breast cancer were measured from the images obtained with and without 4D-SF (4D-SF ±) (size-4D-SF + and size-4D-SF-) and for the pathological specimen (size-PS) and compared.

Results
The median and interquartile ranges of the signal-to-noise ratio [4D-SF-: 3.03 (2.54–4.17) vs 4D-SF + : 5.52 (4.75–6.66)] and contrast-to-noise ratio [4D-SF-: 2.88 (2.00–3.60) vs 4D-SF + : 7.84 (4.65–10.35)] were significantly higher for 4D-SF + than for 4D-SF- (p < 0.001). The overall image quality (Observer 1, p < 0.001; Observer 2, p < 0.001) and tumor margin sharpness scores (Observer 1, p = 0.003; Observer 2, p < 0.001) were significantly higher for 4D-SF + than for 4D-SF-. The tumor contrast scores for 4D-SF + and 4D-SF- were not significantly different (Observers 1, 2; p = 0.083). Size-4D-SF- was significantly smaller than size-PS (p < 0.001); size-4D-SF + was also smaller than size-PS, but the difference was not significant (p = 0.088). The Spearman’s rank correlation coefficient was 0.65 for size-PS and size-4D-SF- and 0.77 for size-PS and size-4D-SF + .

Conclusion
The 4D-SF can improve the image quality and tumor visibility of low-dose dynamic CT in evaluating breast cancer extent due to noise reduction.
First Detection and Molecular Characterization of Colpodella in Goats, Foxes, and Birds
Authors: Hasapis Kyriacos A. , Charalambidou Iris , Phanis Catherine O’Dowd , Kazamia Stefanie , Kassinis Nicolaos , Schou Chad , Karanis Panagiotis 
Published: January 2025

Abstract

Purpose
This study aimed to evaluate the prevalence of Colpodella sp. in domestic and wild animals in Cyprus. To the authors’ knowledge, this is the first study to report the detection of Colpodella sp. in foxes (Cyprus red fox Vulpes vulpes indutus), wild birds (Eurasian coot Fulica atra, duck Anas spp.) and goats (Capra hircus) worldwide.

Methods
A total of 180 faecal samples (29 foxes, 48 Eurasian coot, 20 Eurasian teal Anas crecca, 7 duck, 44 goats − 10 from a farm and 34 free-living individuals - and 32 sheep Ovis aries) were analyzed for the parasite by nested PCR and sequencing.

Results
Four samples were positive (4/180 = 2.2%), including one goat from a farm (1/10 = 10%), one fox (1/29 = 3.4%), one Eurasian coot (1/48 = 2.1%) and one duck (1/7 = 14.3%).

Conclusion
The results of this study support the evidence that Colpodella sp. can infect mammals and birds, as well as livestock and wildlife, which could act as zoonotic reservoirs of the parasite and potentially pose a risk to human and animal health.
Recreation impact on the early establishment of dune-building grasses Elytrigia juncea and Ammophila arenaria on the beach
Authors: van Rosmalen S.J. , Homberger J.-M. , Riksen M.J.P.M. , Limpens J. 
Published: January 2025

Abstract
Sandy shores serve multiple ecosystem services, including recreation. To what extent these services can coexist is unclear, especially given increasing stressors such as rising sea levels and urbanization. We investigated the effect of recreational pressure on the establishment of two dune building grass species representative for European beaches (Ammophila arenaria and Elytrigia juncea). We conducted a field introduction experiment with seeds and rhizomes (diaspores) of both species along an anthropogenic pressure gradient on the upper beach of the Dutch barrier Island of Terschelling. Across two beach sites 300 plots were set out following a randomised block design with 4 factorial treatments (species*diaspore). Local plant material was collected. Plots were left unmarked to enable undisturbed recreation. Establishment success was monitored by counting the number of emerged shoots per plot at regular intervals across the growing season of 2022. To control for environmental drivers, we included the environmental variables: soil moisture, bed level change, and distance to the sea. We found that establishment success increased significantly with longshore distance from the beach entrance, irrespective of species or diaspore type. This effect was especially strong within the first 100 m, where plants did emerge from seeds or rhizomes but progressively died over the summer. Establishment success was further constrained by changes to the beach bed level and distance to the sea. Our results indicate that recreational pressure can constrain dune development on the upper beach. This implies trade-offs between beach functions, that should be considered when designing sandy coastal areas.
Capecitabine and temozolomide or temozolomide alone in patients with atypical carcinoids
Authors: Galvani Linda , Zappi Arianna , Pusceddu Sara , Gelsomino Fabio , La Salvia Anna , Oldani Simone , Panzuto Francesco , Andrini Elisa , Lamberti Giuseppe , Campana Davide 
Published: January 2025

Abstract

Background
Lung neuroendocrine neoplasms (NENs) represent about 20% of all lung cancers. Few therapeutic options are available for atypical carcinoids (ACs). Single-agent temozolomide (TEM) is active in lung NENs, but whether the addition of capecitabine (CAPTEM) is associated with improved outcomes, is unknown. We sought to investigate the TEM-based therapies (TEM or CAPTEM) in patients with advanced AC.

Material and methods
This was a retrospective analysis of prospectively collected data from patients with AC of the lung referred to our institution from January 2003 to January 2023 who have received chemotherapy with either TEM or CAPTEM as any line treatment. Primary endpoint was progression free survival (PFS), secondary endpoints included overall response rate (ORR) and overall survival (OS).

Results
In this study we included 31 patients with advanced AC. Median Ki-67 was 14.4% (3–30). CAPTEM in 17 patients (54.8%), while TEM was administered in 14 patients (45.2%). Overall, ORR was 39% (N = 12/31, all partial responses), while median PFS and OS were 57.4 months (95%CI: 43.2–71.7) and 24.4 months (95% confidence interval [95%CI]: 14.7–34.1). Median PFS was 33.9 months (15.6–52.1) in the CAPTEM group, while it was 15.5 (7.3–23.8) in the TEM group (p = 0.047). When adjusting for potential confounding factors, treatment with TEM vs CAPTEM retained its independent association with an increased risk of progression (HR: 4.01 [95%CI: 1.18–13.68]; p = 0.027).

Conclusions
Treatment with CAPTEM is associated with longer PFS than TEM alone in patients with AC. Prospective studies with larger sample size are needed to validate this finding.
China’s Green Industrial Policy and World Trade Law
Authors: Li Xiaofeng , Du Ming 
Published: January 2025

Abstract
This article seeks to unpack China’s green industrial policy and explore its implications for world trade law. It argues that, first, central to China’s achievements in renewable energy is the role of state-level centralized green industrial policy. Second, China’s approach to renewable energy features a pragmatic attitude of subordinating climate commitment to economic development prerogatives. China’s pro-growth mentality has also shaped the international posture of China on climate change. Third, China’s domination in green technology has raised important policy questions for world trade law. In response to China’s green industrial policy, other countries are likely to enforce trade defense measures more aggressively against China and launch their own green industrial policy as a critical part of the re-balancing effort.
Biohydrogen production enhancement from organic solid waste using consecutive intermittent feeding strategies in a sequencing batch reactor
Authors: Gomez-Aquino Arely , Vargas Alejandro , Moreno-Andrade Iván 
Published: January 2025

Abstract
The organic fraction of municipal solid waste (OFMSW) can be valorized for bioenergy production by dark fermentation (DF) using sequencing batch reactors (SBR). Alternative feeding strategies such as fed-batch have shown increased biogas production. Since fed-batch operation with OFMSW is difficult because of the viscosity and density of its substrate, this work proposes the use of a feeding strategy that operates intermittently to improve the biohydrogen (H2) production from OFMSW in an SBR. The consecutive intermittent feeding strategy consisted in supplying the influent volume with a given number of equal feeding pulses in the first 16 h. Two, four, eight, and frequent pulses were tested in three consecutive cycles. Single pulse feeding (i.e., conventional batch) was performed before and after each feeding strategy for comparison. The four feeding strategies had a change in H2 and metabolite composition, cumulative volume, productivity, and yield. Intermittent feeding also diminished the lag phase for H2 production (λ ≤ 0.62 h). The frequent pulse strategy showed the best performance (365.5 ± 10.8 NmL, 340.3 ± 0.7 NmL L−1∙d−1, and 26.1 ± 0.7 NmL gVSadded for accumulated hydrogen production, hydrogen productivity, and yield, respectively), and it also increased caproate production (up to 1.12 gCOD L−1). Significant correlations between the production of organic acids and specific microbial genera were observed, highlighting the complex microbial community interactions present during biological hydrogen production.

Graphical Abstract
Primary adenocarcinoma of the lacrimal sac with 5-year recurrence-free survival after radiation therapy alone: a case report
Authors: Takizawa Daichi , Ohnishi Kayoko , Hiratsuka Kentaro , Matsuoka Ryota , Baba Keiichiro , Nakamura Masatoshi , Iizumi Takashi , Suzuki Kiyotaka , Mizumoto Masashi , Sakurai Hideyuki 
Published: January 2025

Abstract
Lacrimal sac tumors are rare, with approximately 800 cases reported worldwide; primary adenocarcinoma of the lacrimal sac is particularly rare. Although there is no established treatment strategy, surgical removal is generally performed. However, complete removal often requires extensive resection, including orbital exenteration and lateral rhinoplasty, which is highly invasive and creates significant cosmetic issues. Here, we report our experience with a 72-year-old woman with primary adenocarcinoma of the lacrimal sac with ethmoid bone invasion. She refused surgery and was treated with radiation therapy alone, totaling 70 Gy in 35 fractions. This is the first report of a patient with primary adenocarcinoma of the lacrimal sac who survived for 5 years without recurrence after radiation therapy alone. She experienced late radiation-related complications: the affected eye developed grade-3 retinopathy according to the common terminology criteria for adverse events, version 5.0, and secondary neovascular glaucoma. Cataract and vitreous surgery with retinal photocoagulation were performed. Her cosmetic appearance was maintained after all treatments were completed. Radiation therapy may be an effective treatment for primary adenocarcinoma of the lacrimal sac for patients who either refuse surgery or in whom surgery is not feasible.
ChatGPT in the Classroom: Evaluating its Role in Fostering Critical Evaluation Skills
Authors: Oates Angela , Johnson Donna 
Published: January 2025

Abstract
The increasing prevalence of artificial intelligence in educational domains raises both opportunities and challenges in the context of academic integrity and pedagogical efficacy. This study outlines an innovative project that investigates the use of ChatGPT as a tool for enhancing the critical evaluation skills of master’s students in biomedical science. Using a dual approach combining AI-generated essay writing with subsequent student-led critical evaluation, this project sought to foster deeper critical evaluation skills in learners. By having participants critically assess AI-generated essays, supported critical evaluation based on peer-reviewed literature, the project aimed to deepen their evaluative skills. Outputs from the tasks were compared against academic benchmarks considering factors such as marks, writing, and overall quality. Participant perceptions were collected through a combination of a focus group session and an evaluation questionnaire. The key finding of this project was that while ChatGPT demonstrated proficiency in structural coherence and grammatical accuracy, it did not augment academic performance– participant marks for the AI-generated essays aligned closely with their overall module marks, showing no overall improvement. However, this study did see an increase in marks for participants’ critical evaluations. This suggests that ChatGPT was more effective as an assessment tool when used for critical evaluation tasks, aligning with pedagogical emphasis on nurturing critical evaluation skills. User interaction with AI emerged as a significant variable that influenced the tool’s efficacy, highlighting the need for a nuanced approach to its integration into educational settings. The study concludes that while ChatGPT offers promising avenues for both drafting and assessment, and demonstrated a high level of factual accuracy, it is not a substitute for human-led academic enquiry, and students preferred writing their own essays.
Unlocking robotic perception: comparison of deep learning methods for simultaneous localization and mapping and visual simultaneous localization and mapping in robot
Authors: Hoang Minh Long 
Published: January 2025

Abstract
Simultaneous Localization and Mapping (SLAM) and Visual SLAM are crucial technologies in robotics, allowing autonomous systems to navigate and comprehend their environment. Deep learning (DL) has become a powerful tool in driving progress in these areas, providing solutions that improve accuracy, efficiency, and resilience. This article thoroughly analyzes different deep learning techniques designed explicitly for SLAM and Visual SLAM applications in robotic systems. This work provides a detailed overview of DL roles in SLAM and VSLAM and emphasizes the differences between these two fields. Five powerful DL methods are investigated: Convolutional Neural Networks in extracting features and understanding meaning, Recurrent Neural Network in modeling temporal relationships, Deep Reinforcement Learning in developing exploration strategies, Graph Neural Network in modeling spatial relationships, and Attention Mechanisms in selectively processing information. In this research, we will examine the advantages and disadvantages of each approach in relation to robotic applications, taking into account issues such as real-time performance, resource restrictions, and adaptability to various situations. This article seeks to guide researchers and practitioners in selecting suitable deep learning algorithms to improve the capabilities of SLAM and Visual SLAM in robotic systems by combining ideas from recent research and actual implementations. The popular types of each concerned DL will be synthesized with the discussion of pros and cons.
Monitoring of self-setting apatite cement using near-infrared spectroscopy: time-course evaluation using machine learning
Authors: Otsuka Yuta , Ito Sayaka , Noguchi Kazuyuki , Kono Hiroshi , Kikuchi Masafumi 
Published: January 2025

Abstract
In this study, near-infrared (NIR) spectroscopy, a measurement method not widely used in dentistry, was used to monitor the synthesis of calcium phosphate cement. Tetra calcium phosphate and di calcium phosphate dihydrate were mixed at a Ca/P ratio of 1.67, and water was added dropwise to induce the phase transition to HAp. The reaction conditions were evaluated by measuring NIR spectra every minute for 60 min and every 20 min for 24 h. The obtained NIR spectra were analyzed using singular value decomposition. The synthesized apatite was characterized by measuring XRD, FT-IR, and SEM. In the self-setting apatite cement system, 24-hour monitoring revealed that a phase transition was achieved. NIR monitoring was found to be effective and valuable for evaluating calcium phosphate cements.
Autonomous Docking Manoeuvre Testing in the Framework of the ERMES Experiment
Authors: Bortotto Alessandro , Degli Agli Giuliano , Pozzato Nicola , Dignani Mattia , Favotto Federico , Mattiazzi Fabio , Mihailovic Miroljub , Branz Francesco , Olivieri Lorenzo , Caon Alex , Lion Luca , Basana Federico , Francesconi Alessandro 
Published: January 2025

Abstract
The rise of the “New Space Economy” has expanded access to low-Earth orbits for commercial, non-profit, and educational entities. This has driven significant growth in the small satellite market, offering a low-cost solution for various missions. Autonomous proximity operation systems for small satellites are actively studied for their wide-ranging applications. Experimental Rendezvous in Microgravity Environment Study (ERMES) is a student project, which aimed at testing an autonomous docking manoeuvre between two free-flying CubeSats mock-ups in a reduced gravity environment. The manoeuvre is characterized by an active Chaser and cooperative Target approach. In particular, the Chaser is equipped with a cold gas propulsive system based on expendable

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cartridges for three-dimensional manoeuvering, whereas the Target has a set of reaction wheels for attitude control. The magnetic post-manoeuvre connection is achieved thanks to a dedicated miniaturized docking interface. Moreover, the reduced gravity conditions have been achieved by participating in the European Space Agency (ESA)

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Parabolic Flight Campaign thanks to the selection in the ESA Fly Your Thesis! Programme 2022 (FYT).
This article provides an overview of the ERMES experiment, discussing its main objectives and key design solutions. It first describes the design of the Guidance Navigation and Control subsystems of the two mock-ups, then discusses the results of the parabolic flight campaign, and finally focuses on the analysis of a specific parabolic test, where the Chaser was able to dock by recovering a high overall misalignment.