bluuebunny/crossref_metadata_2025_split huggingface dataset:
Routing in quantum networks with end‐to‐end knowledge
Authors: Kumar Vinay , Cicconetti Claudio , Conti Marco , Passarella Andrea 
Published: February 2025

AbstractGiven the diverse array of physical systems available for quantum computing and the absence of a well‐defined quantum Internet protocol stack, the design and optimisation of quantum networking protocols remain largely unexplored. To address this, the authors introduce an approach that facilitates the establishment of paths capable of delivering end‐to‐end fidelity above a specified threshold, without requiring detailed knowledge of the quantum network's properties. In this study, the authors define algorithms that are specific instances of this approach and evaluate them in comparison to Dijkstra's shortest path algorithm and a fully knowledge‐aware algorithm through simulations. The authors’ results demonstrate that one of the proposed algorithms consistently outperforms the other methods in delivering paths above the fidelity threshold, across various network topologies and the number of source‐destination pairs involved, while maintaining significant levels of fairness among the users and being robust to inaccurate estimations of the expected end‐to‐end fidelity.
Open‐DS: An Open‐Set Modulation Recognition Method for Low Probability of Interception Radar Emitters Based on Dictionary Similarity
Authors: Sun Gangyin , Chen Shiwen , Wu Chaopeng , Zhang Li , Fang Haikun 
Published: February 2025

ABSTRACTThe recognition of radar emitters modulation in an open‐set scenario presents a challenging task, particularly when identifying unknown modulation. This paper proposes a dictionary similarity based method for low intercept probability radar signal open‐set modulation recognition (OMR), designed to address the unknown modulation in open‐set scenarios. First, deep features of the input 1‐D signal are extracted, and a random Fourier transform is applied to map the signal into a high‐dimensional space, thereby converting the nonlinear feature optimisation problem into a linear optimisation problem. Next, an inter‐class discreteness (ICD) module and an intra‐class similarity (ICS) module are designed. Based on the Hilbert‐Smith independence criterion, the correlation between features is quantified, and the quantitative values of ICD and ICS are used as loss functions to constrain the network's learning process. This approach effectively enhanced the representational power of the class dictionaries and significantly improved the model’s overall performance. Experimental results demonstrate that the proposed strategy successfully extracts high‐dimensional feature prototypes, achieving high accuracy in closed‐set recognition while effectively performing open‐set recognition tasks.
Research on Multi-task Collaborative Enhancement Matrix Machine and Its Application in Fault Diagnosis
Authors: Chen Chunan , Pan Haiyang , Zheng Jinde , Tong Jinyu , Cheng Jian 
Published: February 2025

Abstract
Support matrix machine, as an effective classification method, is widely used in single task fault diagnosis. However, for the entire mechanical equipment system, the state information between different components is coupled with each other, and it is difficult to fully express the completion state information of a task by only constructing a diagnostic model for that task. In view of this, this paper proposes a Multi-task Collaborative Enhancement Matrix Machine (MTCEMM) method. First, a dimension enhancement term is defined, in which nonlinear offsets are used to help the model capture nonlinear relationships in the data, thus improving the information fusion power of the multiple models. Then, the classification hyperplane for different tasks is constructed simultaneously, which completes information sharing among multiple tasks during the construction process, thereby achieving collaborative enhancement of multi-task sample information. Finally, the MTCEMM method is applied to multi-task fault diagnosis of mechanical system, and five evaluation indicators are also selected to display the classification results.
3DΠ: three-dimensional positron imaging, a novel total-body PET scanner using xenon-doped liquid argon scintillator
Authors: Zabihi Azam , Li Xinran , Ramirez Alejandro , Ahmad Iftikhar , Da Rocha Rolo Manuel Dionisio , Franco Davide , Gabriele Federico , Galbiati Cristiano , Lai Michela , Marlow Daniel R , Renshaw Andrew , Westerdale Shawn , Wada Masayuki 
Published: February 2025

Abstract
Objective: This paper introduces a novel PET imaging methodology called 3-dimensional positron imaging (3DΠ), which integrates total-body (TB) coverage, time-of-flight (TOF) technology, ultra-low dose imaging capabilities, and ultra-fast readout electronics inspired by emerging technology from the DarkSide collaboration. Approach: The study evaluates the performance of 3DΠ using Monte Carlo simulations based on NEMA NU 2-2018 protocols. The methodology employs a homogenous, monolithic scintillator composed of liquid argon (LAr) doped with xenon (Xe) with silicon photomultipliers (SiPM) operating at cryogenic temperatures. Main results: Significant enhancements in system performance are observed, with the 3DΠ system achieving a noise equivalent count rate (NECR) of 3.2 Mcps which is approximately two times higher than uEXPLORER's peak NECR (1.5 Mcps) at 17.3 (kBq/mL). Spatial resolution measurements show an average FWHM of 2.7 mm across both axial positions. The system exhibits superior sensitivity, with values reaching 373 kcps/MBq with a line source at the center of the field of view. Additionally, 3DΠ achieves a TOF resolution of 151 ps at 5.3 kBq/mL, highlighting its potential to produce high-quality images with reduced noise levels. Significance: The study underscores the potential of 3DΠ in improving PET imaging performance, offering the potential for shorter scan times and reduced radiation exposure for patients. The Xe-doped LAr offers advantages such as fast scintillation, enhanced light yield, and cost-effectiveness. Future research will focus on optimizing system geometry and further refining reconstruction algorithms to exploit the strengths of 3DΠ for clinical applications.
Metal artifacts correction based on a physics-informed nonlinear sinogram completion model
Authors: Fan Shuqiong , Li Mengfei , Huang Chuwen , Deng Xiaojuan , Li Hongwei 
Published: February 2025

Abstract
Objective. Metal artifacts seriously deteriorate CT image quality. Current metal artifacts reduction methods suffer from insufficient correction or easily introduce secondary artifacts. To better suppress metal artifacts, we propose a sinogram completion approach extracting and utilizing useful information that contained in the corrupted metal trace projections. Approach. Our method mainly contains two stages: sinogram interpolation by an improved normalization technique for initial correction and physics-informed nonlinear sinogram decomposition for further improvement. In the first stage, different from the popular normalized metal artifact reduction method, we propose a more meaningful normalization scheme for the interpolation procedure. In the second stage, instead of performing a linear sinogram decomposition as done in the physics-informed sinogram completion method, we introduce a nonlinear decomposition model that can accurately separate the sinogram into metal and non-metal contributions by better modeling the physical scanning process. The interpolated sinogram and physics-informed correction compensate each other to reach the optimal correction results. Main results. Experimental results on simulated and real data indicate that, in terms of both structures preservation and detail recovery, the proposed PNSC method achieves very competitive performance for metal artifacts reduction compared to existing methods. Significance. According to our knowledge, it's for the first time that a nonlinear sinogram decomposition model is proposed in the literature for metal artifacts correction. It might motivate further research exploring this idea for various sinogram processing tasks.
Design and Analysis of a Miniaturized Rhombus-Rectangular Antenna for WMTS and ISM Bands
Authors: BalaMurali Selvamani , Elakkiya Kaliappan , Kumaravel Shanmugam , M Karthikeyan , Mishra Naveen , Natarajan Rajesh 
Published: February 2025

Abstract
This paper presents the design and performance evaluation of a novel implantable antenna for biomedical &#xD;applications. Implantable antennas are used in biomedical devices for wireless communication, enabling &#xD;applications like health monitoring, drug delivery, and bio-sensing within the human body. The proposed &#xD;antenna structure features a compact configuration consisting of three rhombus-shaped resonators of &#xD;varying sizes attached to a rectangular resonator. The antenna is ideal for implantation because of its &#xD;small size (5 x 5 x 1.27 mm³), which adds up to a total volume of 31.75 mm³. Compatibility with essential &#xD;wireless communication standards for medical applications is ensured by the antenna's dual-band &#xD;resonance at 2.42 GHz in the Industrial, Scientific, and Medical (ISM) band and 1.4 GHz in the Wireless &#xD;Medical Telemetry Service (WMTS) band. A notable feature of the design is its high fractional &#xD;bandwidth of 18.29%, which is superior compared to similar implantable antennas. Additionally, the &#xD;Specific Absorption Rate (SAR) is substantially within the IEEE safety standards' permissible bounds, &#xD;guaranteeing safe operation close to human flesh. A promising option for next-generation biomedical &#xD;devices, this small, dual-frequency, wideband antenna allows for dependable and effective wireless &#xD;communication for implanted applications.
Corrigendum: The Effect of Indonesian Coal Characteristics on The Pyrolysis Activation Energy (2024 IOP Conf. Ser.: Earth Environ. Sci. 1437 012008)
Authors: Putri Wijayanti Meilinda , Haris Widayat Agus , Anggayana Komang , Halim Nurulhuda , Al Hamda Aisyah 
Published: February 2025

Abstract
Please see Article PDF for corrigendum text.
Recent strides in artificial intelligence for predicting thermoelectric properties and materials discovery
Authors: Barua Nikhil K , Lee Sangjoon , Oliynyk Anton O , Kleinke Holger 
Published: February 2025

Abstract
Machine learning models as part of artificial intelligence have enjoyed a recent surge in answering a long-standing challenge in thermoelectric materials research. That challenge is to produce stable, and highly efficient, thermoelectric materials for their application in thermoelectric devices for commercial use. The enhancements in these models offer the potential to identify the best solutions for these challenges and accelerate thermoelectric research through the reduction in experimental and computational costs. This perspective underscores and examines recent advancements and approaches from the materials community in artificial intelligence to address the challenges in the thermoelectric area and to surpass existing limitations. Additionally, it presents insights into the material features influencing model decisions for thermoelectric property predictions and in some cases new thermoelectric material discovery. In the end, the perspective addresses current challenges and future potential studies beyond classical machine learning studies for thermoelectric research.
Pragmatic Conceptual Engineering
Authors: Thomasson Amie L 
Published: February 2025

Abstract
This chapter develops a pragmatic approach to conceptual engineering that uses functional assessments to do conceptual engineering in a way that is not arbitrary and that can give us grounds for critiquing conceptual choices, but without appealing to deep “metaphysical facts” to guide our decisions. For we can evaluate concepts with respect to how well they fulfill their functions, and whether those are functions we should pursue. Conceptual re-engineering may be needed because we reject the functions served (as with race terms), because of technological or social change (as with concepts of death or marriage), or because our concerns have evolved (as with the concept of fish). On this model, conceptual engineering is a difficult practical matter, but that does not mean that our choices are arbitrary or unconstrained. Taking a pragmatic approach to conceptual engineering enables us to make better-informed and more transparent conceptual decisions.
The Perennial Philosophical Project
Authors: Thomasson Amie L 
Published: February 2025

Abstract
This work in conceptual engineering still deserves to be called “metaphysics” to emphasize the continuities with much past work in historical metaphysics—some of which can be seen as engaged in reverse engineering, and other parts of which can be seen as engaged in metalinguistic negotiation over how our terms such as “person,” “freedom,” or “art” should be used. Moreover, this reconception of metaphysics ensures that its work is very much worth doing. For what language and concepts we use has enormous consequences for how we think and live, how we organize our institutions and scientific investigations. It is also work that is never finished, since our concepts and terms must be constantly rethought in new social, environmental, and technological contexts. Rethinking metaphysics as conceptual engineering demonstrates its role as an important and perennial human project.
IBC Oxford University Oral Abstract 12 - Video abstract: a visual concerto: exploring the wide array of bowel obstructions following Roux-en-Y gastric bypass
Authors: Sestito M , Ma P , Higa K , Abunnaja S 
Published: February 2025

Abstract

Introduction
Small bowel obstruction (SBO) is a significant source of morbidity in patients who have undergone Roux-en-Y gastric bypass (RYGB) surgery. In addition to variable anatomic locations, SBO have a wide range of clinical presentations. Delays or inexperience in managing such cases can lead to catastrophic outcomes.

Methods
Data from chart review and intraoperative recordings were compiled to create a video case series.

Results
Five representative cases were selected. One case involved the management of an acute SBO secondary to an internal hernia at the Jejunojejunal mesenteric defect. The second case addressed recurrent partial obstructive symptoms caused by internal hernia at the Peterson space. The third case involved a closed-loop SBO secondary to an adhesive band. The fourth case addressed acute small bowel obstruction secondary to intussusception at the Jejunojejunal anastomosis. Finally, the last case discussed the management of a rare case of small bowel obstruction from a food bezoar lodged at the ileocecal valve. Each case had a distinct location and level of complexity requiring different operative approaches. All cases were managed successfully with laparoscopic approach and discharged home safely.

Conclusions
SBO in RYGB patients has a wide range of complex clinical presentations. Managing such complex cases requires not only timely intervention and understanding of intricate anatomical variances but also the technical skill to achieve resolution.
IBC Oxford University Oral Abstract 15 - Video abstract: management of intra-thoracic band slippage and severe GERD following laparoscopic adjustable gastric banding: a video case study
Authors: Amar M Ben , Masmoudi A , Sallemi M , Trigui A 
Published: February 2025

Abstract

Introduction
As a bariatric procedure, laparoscopic adjustable gastric banding (LAGB) led to an increased prevalence of complications, including gastroesophageal reflux disease (GERD), band slippage and dysphagia. This explains the high reported failure rate. This video abstract presents the management of an intra-thoracic band slippage associated with severe GERD.

Methods
A 53-year-old man with a history of morbid obesity, underwent LAGB 19 years prior. Despite initial weight loss (BMI = 51 kg/m2 to 22 kg/m2), he presented with symptomatic GERD and vomiting. Investigations revealed intra-thoracic band slippage with a portion of the stomach herniated into the chest cavity. Laparoscopic removal of the gastric band was carried out after careful dissection of the hiatal region. Afterwards, the oesophagus was mobilised, and the hernia sac was dissected and excised down to the anterior wall of the oesophagus and around the gastroesophageal junction. Closure of the crura was performed using non-absorbable sutures and was followed by placement of a Toupet fundoplication.

Results
The operative time was 130 minutes. The patient was allowed oral liquids after one postoperative day and subsequently discharged on second postoperative day. There were no postoperative complications. The patient experienced resolution of GERD symptoms, and no weight regain at 9 months follow-up (BMI: 26 kg/m2). The surgical methods used in this instance are given in the accompanying video, which also offers insightful information about the steps of the procedure.

Conclusions
This case highlights the feasibility and efficacy of removal of the laparoscopic adjustable gastric band combined with Toupet fundoplication. Revisional bariatric surgeries should probably be reserved for cases when GERD is associated with weight regain.
IBC Oxford University Oral Abstract 24 - Comparison of the surgical experience between robotic OAGB/MGB/BAGUA as a primary surgery procedure versus sleeve gastrectomy conversion to robotic OAGB/MGB/BAGUA in a tertiary level hospital in Mexico City, Mexico
Authors: Gaytan Fuentes O F , Gaytan Fuentes I A , Barajas Galicia E , Barba Mendoza J A , Ceron Castillo R , Terriquez Rodríguez S , Ortíz Fernández M 
Published: February 2025

Abstract

Introduction
Bariatric surgery is the most effective treatment for obesity and its comorbidities. Nowadays, the robotic approach is the preferred method for superobesity and revisional surgery, mitigating the technical difﬁculty, improving the prognosis and diminishing the length of hospital stay. The objective of this study is to document our surgical experience with Robotic Bariatric Surgery and the One Anastomosis Gastric Bypass technique //MiniGastric Bypass // Bypass Gastrico de Una Sola Anastomosis (OAGB/MGB/BAGUA). The objectives of the statistical analysis were: 1.- To know the patient's demographic proﬁle in both groups. 2.- To know the prevalence of present comorbidities. 3.- To compare the operative times of both groups: primary surgery versus revisional surgery. 4.- Apply a Linear Regression Analysis in order to know the trend for operative times according to BMI as a predictor variable. Twenty-three patients were included.

Methods
Seventeen patients underwent Robotic OAGB/MGB/BAGUA as a primary surgery (Group 1) and six patients underwent revisional surgery or conversion from Sleeve Gastrectomy to Robotic OAGB/MGB/BAGUA (Group 2).

Results
Table 1. Demographic Profile. (Upload File) Table 2. Comorbidities Profile in Both Groups. (Upload File) Table 3. Operative Times. (Upload File) COMPLICATIONS No complication 22 patients (95.7%) Complications: 1 (4.3%) patient; c.i. (95%): 0.11% to 21.94% Comparative statistical analysis was carried out, based on non-parametric tests: *Mann-Whitney U Test—Kolmogorov-Smirnov Test for the three surgical times: Docking, Console and Total Time in Group 1 and Group 2. In the three comparisons made, the statistical tests applied showed the levels of statistical signiﬁcance: Docking and Console in Group 1 versus Docking Group 2, P = 0.420727 and P &gt; 0.10; Total Time in Group 1 versus Console in Group 2, P = 0.325552 and P &gt; 0.10 respectively.
According to the operative times, there was no statistically significant difference between groups. The correlation between operative times and the body mass index (BMI) was studied with Linear Regression Analysis, considering BMI as a predictor variable and operative times as predicted variable. Both all three times, and groups were studied. We found a trend to decrease in surgical times, meanwhile, an increase in BMI was observed in this analysis.

Conclusion
We highlight in this summary the Total Time with a decrease index of 1 min/BMI Unit (weight/m2). The analysis of variance showed that the presence of comorbidities had no inﬂuence on surgical times.
IBC Oxford University Oral Abstract 29 - Totally robotic approach to primary metabolic surgery ameliorates postoperative bleeding
Authors: Smith D , Buffington C , Lopez C , Krzyzanowski S , Santos C 
Published: February 2025

Abstract

Introduction
Postoperative bleeding is the most common major postoperative complication following metabolic bariatric surgery (MBS). The primary objective of the present study was to examine the incidence of postoperative bleeding among patients whose MBS procedure was performed totally robotic (ROB) and compare these rates to surgeries performed with conventional laparoscopy. Secondary endpoints of the study were peri-operative and early (30-d) postoperative surgical outcomes with the totally ROB versus laparoscopic (LAP) approach.

Methods
The study was a retrospective analysis of 809 (498 ROB, 311 LAP) primary surgeries performed by a single surgeon between 1/20–11/23, that is 351 Roux-en-Y gastric bypass (RYGB), 393 sleeve gastrectomy (SG), 65 duodenal switch (DS). All patients were under identical postoperative care and discharge protocols, and there were no significant differences in characteristics (age, BMI, total number of co-existing health issues) between patients who had a ROB or LAP approach. Outcome measures included: 1) incidence of major postoperative bleeding, 2) length of hospital stay (LOS), 3) operative (op) time, and 4) early (30-d) postoperative major complications, readmissions, and reoperations.

Results
Among surgeries performed laparoscopic, 71% of major complications were postoperative bleeds. Of these, 60% required reoperation and 30% endoscopic intervention. The incidence rate for major bleeding following surgeries performed laparoscopic averaged 2.3% for all primary procedures and 3.4%, 2.5%, and 5.6% for RYGB, SG, and DS, respectively. Conversely, with the ROB system, postoperative bleeding was rare. No postoperative bleeding occurred among patients having a ROB SG or DS and only 1 bleed occurred with the RYGB, a patient with multiple co-existing health issues and numerous adhesions prolonging surgery. Other surgical outcomes were also significantly improved with the ROB approach over conventional laparoscopy. For patients having a SG or RYGB, op times were significantly (P &lt; 0.0001) lower when surgeries were performed ROB versus LAP. Length of hospital stay was also significantly (P &lt; 0.0001) shorter following ROB procedures, i.e., all surgeries LOS = 1.18 d ROB versus 2.37 d LAP; RYGB = 1.19 d ROB versus 1.39 d LAP; SG = 1.14 d ROB versus 1.25 d LAP; DS = 1.25 ROB versus 1.58 d LAP. Readmission rates (30-d) were significantly less when surgeries were performed robotic (3.4% ROB versus 6.7% LAP), as were major complications (all surgeries = 1.2% ROB versus 4.0% LAP; RYGB = 1.7% ROB versus 5.1% LAP; SG = 0.85% ROB versus 3.2% LAP).

Conclusions
For primary MBS, the totally robotic approach results in highly significant reduction of postoperative bleeding, along with a decreased incidence of 30-d major complications, reops, readmissions and lower duration of surgery and length of hospital stay.