bluuebunny/crossref_metadata_2025_split huggingface dataset:
Verifiable blind quantum computation over collective-noise
Authors: Luo Yuan-Mao , Yang Zhen , Wu Guang-Yang , Yan Yu-Zhan , Bai Ming-Qiang 
Published: April 2024

Abstract
Blind quantum computation(BQC) is a new type of secure quantum computation. In the natural environment, the qubits used in BQC will inevitably be affected by the noise, and the client cannot guarantee the correctness of computational results when the server is dishonest. This paper proposes a verifiable BQC over collective-noise based on quantum error correction to solve these two problems. Furthermore, the proposed protocol needs to expand Alice’s quantum capabilities. The client makes single-qubit measurements on the qubits, encoded and transmitted by the server. As a result, they protect qubits used to compute and utilize single-qubits to verify.
First-principles study of structural and electronic properties of multiferroic oxide Mn3TeO6 under high pressure
Authors: Pan 潘 Xiao-Long 小龙 , Wang 王 Hao 豪 , Liu 柳 Lei 雷 , Chen 陈 Xiang-Rong 向荣 , Geng 耿 Hua-Yun 华运 
Published: April 2024

Abstract
Mn3TeO6 (MTO) has been experimentally found to adopt a P21/n structure under high pressure, which exhibits a significantly smaller band gap compared to the atmospheric

R

3
¯

phase. In this study, we systematically investigate the magnetism, structural phase transition, and electronic properties of MTO under high pressure through first-principles calculations. Both

R

3
¯

and P21/n phases of MTO are antiferromagnetic at zero temperature. The

R

3
¯

phase transforms to the P21/n phase at 7.58 GPa, accompanied by a considerable volume collapse of about 6.47%. Employing the accurate method that combines DFT+U and GW, the calculated band gap of

R

3
¯

phase at zero pressure is very close to the experimental values, while that of the P21/n phase is significantly overestimated. The main reason for this difference is that the experimental study incorrectly used the Kubelka–Munk plot for the indirect band gap to obtain the band gap of the P21/n phase instead of the Kubelka–Munk plot for the direct band gap. Furthermore, our study reveals that the transition from the

R

3
¯

phase to the P21/n phase is accompanied by a slight reduction in the band gap.
A color image encryption scheme based on a 2D coupled chaotic system and diagonal scrambling algorithm
Authors: Su 苏 Jingming 静明 , Fang 方 Shihui 士辉 , Hong 洪 Yan 炎 , Wen 温 Yan 言 
Published: April 2024

Abstract
A novel color image encryption scheme is developed to enhance the security of encryption without increasing the complexity. Firstly, the plain color image is decomposed into three grayscale plain images, which are converted into the frequency domain coefficient matrices (FDCM) with discrete cosine transform (DCT) operation. After that, a two-dimensional (2D) coupled chaotic system is developed and used to generate one group of embedded matrices and another group of encryption matrices, respectively. The embedded matrices are integrated with the FDCM to fulfill the frequency domain encryption, and then the inverse DCT processing is implemented to recover the spatial domain signal. Eventually, under the function of the encryption matrices and the proposed diagonal scrambling algorithm, the final color ciphertext is obtained. The experimental results show that the proposed method can not only ensure efficient encryption but also satisfy various sizes of image encryption. Besides, it has better performance than other similar techniques in statistical feature analysis, such as key space, key sensitivity, anti-differential attack, information entropy, noise attack, etc.
Universal test system for boards hosting bPOL12V DC-DC converters
Authors: Stachon K. , Dissertori G. , Gadek T. , Lustermann W. ,   the CMS collaboration
Published: April 2024

Abstract
The ECAL Barrel and MTD Barrel Timing Layer subdetectors of CMS are approaching series production of electronic boards, including voltage conditioning PCBs: LVRs and PCCs respectively. 2448 LVRs and 864 PCCs will be installed during LS3 of the LHC. These boards are hosting radiation-tolerant bPOL12V ASICs which convert a broad input voltage range into required voltage levels for microelectronics between 1.2–2.5 V. Each card must be tested multiple times at various production stages to ensure its conformity. This contribution describes a methodology of testing bPOL12V conversion quality including the detection of instability regions at certain load levels.
NAPA-p1: monolithic nanosecond timing pixel for large area sensors, designed for future e
+
e
- colliders
Authors: Habib A. , Bakalis C. , Brau J.E. , Breidenbach M. , Rota L. , Vernieri C. , Dragone A. 
Published: April 2024

Abstract
NAPA-p1 is a prototype Monolithic Active Pixel Sensor 'MAPS' developed as a first iteration towards meeting the detectors general requirements for future e
+
e
- colliders. Long-term objective is to develop a wafer-scale sensor in MAPS with an area ∼ 10 cm × 10 cm. This article presents the motivations for the design choices of NAPA-p1, translating the physics requirement into circuit specifications. Simulations show a pixel jitter of < 400 ps-rms and an equivalent noise charge of 13 e
-rms with an average power consumption of 1.15 mW/cm2 assuming a 1% duty cycle, meeting the target specifications. The prototype is designed in 65 nm CMOS imaging technology, with dimensions of 1.5 mm × 1.5 mm and a pixel pitch of 25 μm. The prototype chip has been fabricated and characterization results will be available soon.
Two HVCMOS active pixel ASIC designs for the Measurement of GCR and SEP with a combined dynamic range of >80 dB
Authors: Papadomanolaki E. , Papangelis A. , Torris M. , Theodoratos G. , Glikiotis I. , Lambropoulos C. 
Published: April 2024

Abstract
The design of HVCMOS detectors for measuring Galactic Cosmic Rays (GCR) and Solar Energetic Particles (SEP) is presented, with the goal of covering a very wide dynamic range (from ∼0.5 fC to pC). Two different pixel designs are shown, one with low gain tailored to high energy depositions and one with high gain for low energy depositions. Both designs utilize a sensing diode consisting of a fully-depleted, high resistivity substrate and a segmented deep n-well on top. LFoundry 0.15 μm technology is used. The design choices are backed by simulation results and preliminary measurements.
The effects of keratin-coated titanium on osteoblast function and bone regeneration
Authors: Ranjit Eliza , Hamlet Stephen , Shelper Todd , Sharma Ajay , Love Robert 
Published: April 2024

Abstract
Wool derived keratin, due to its demonstrated ability to promote bone formation, has been suggested as a potential bioactive material for implant surfaces. The aim of this study was to assess the effects of keratin-coated titanium on osteoblast function in vitro and bone healing in vivo. Keratin-coated titanium surfaces were fabricated via solvent casting and molecular grafting. The effect of these surfaces on the attachment, osteogenic gene, and osteogenic protein expression of MG-63 osteoblast-like cells were quantified in vitro. The effect of these keratin-modified surfaces on bone healing over three weeks using an intraosseous calvaria defect was assessed in rodents. Keratin coating did not affect MG-63 proliferation or viability, but enhanced osteopontin, osteocalcin and bone morphogenetic expression in vitro. Histological analysis of recovered calvaria specimens showed osseous defects covered with keratin-coated titanium had a higher percentage of new bone area two weeks after implantation compared to that in defects covered with titanium alone. The keratin-coated surfaces were biocompatible and stimulated osteogenic expression in adherent MG-63 osteoblasts. Furthermore, a pilot preclinical study in rodents suggested keratin may stimulate earlier intraosseous calvaria bone healing.
3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bath
Authors: Sokmen Serkan , Cakmak Soner , Oksuz Ilkay 
Published: April 2024

Abstract
Accurate segmentation of coronary artery tree and personalized 3D printing from medical images is essential for CAD diagnosis and treatment. The current literature on 3D printing relies solely on generic models created with different software or 3D coronary artery models manually segmented from medical images. Moreover, there are not many studies examining the bioprintability of a 3D model generated by artificial intelligence (AI) segmentation for complex and branched structures. In this study, deep learning algorithms with transfer learning have been employed for accurate segmentation of the coronary artery tree from medical images to generate printable segmentations. We propose a combination of deep learning and 3D printing, which accurately segments and prints complex vascular patterns in coronary arteries. Then, we performed the 3D printing of the AI-generated coronary artery segmentation for the fabrication of bifurcated hollow vascular structure. Our results indicate improved performance of segmentation with the aid of transfer learning with a Dice overlap score of 0.86 on a test set of 10 coronary tomography angiography images. Then, bifurcated regions from 3D models were printed into the Pluronic F-127 support bath using alginate + glucomannan hydrogel. We successfully fabricated the bifurcated coronary artery structures with high length and wall thickness accuracy, however, the outer diameters of the vessels and length of the bifurcation point differ from the 3D models. The extrusion of unnecessary material, primarily observed when the nozzle moves from left to the right vessel during 3D printing, can be mitigated by adjusting the nozzle speed. Moreover, the shape accuracy can also be improved by designing a multi-axis printhead that can change the printing angle in three dimensions. Thus, this study demonstrates the potential of the use of AI-segmented 3D models in the 3D printing of coronary artery structures and, when further improved, can be used for the fabrication of patient-specific vascular implants.
Integrating satellite-based forest disturbance alerts improves detection timeliness and confidence
Authors: Reiche Johannes , Balling Johannes , Pickens Amy Hudson , Masolele Robert N , Berger Anika , Weisse Mikaela J , Mannarino Daniel , Gou Yaqing , Slagter Bart , Donchyts Gennadii , Carter Sarah 
Published: April 2024

Abstract
Satellite-based near-real-time forest disturbance alerting systems have been widely used to support law enforcement actions against illegal and unsustainable human activities in tropical forests. The availability of multiple optical and radar-based forest disturbance alerts, each with varying detection capabilities depending mainly on the satellite sensor used, poses a challenge for users in selecting the most suitable system for their monitoring needs and workflow. Integrating multiple alerts holds the potential to address the limitations of individual systems. We integrated radar-based RAdar for Detecting Deforestation (RADD) (Sentinel-1), and optical-based Global Land Analysis and Discovery Sentinel-2 (GLAD-S2) and GLAD-Landsat alerts using two confidence rulesets at ten 1° sites across the Amazon Basin. Alert integration resulted in faster detection of new disturbances by days to months, and also shortened the delay to increased confidence. An increased detection rate to an average of 97% when combining alerts highlights the complementary capabilities of the optical and cloud-penetrating radar sensors in detecting largely varying drivers and environmental conditions, such as fires, selective logging, and cloudy circumstances. The most improvement was observed when integrating RADD and GLAD-S2, capitalizing on the high temporal observation density and spatially detailed 10 m Sentinel-1 and 2 data. We introduced the highest confidence class as an addition to the low and high confidence classes of the individual systems, and showed that this displayed no false detection. Considering spatial neighborhood during alert integration enhanced the overall labeled alert confidence level, as nearby alerts mutually reinforced their confidence, but it also led to an increased rate of false detections. We discuss implications of this study for the integration of multiple alert systems. We demonstrate that alert integration is an important data preparation step to make use of multiple alerts more user-friendly, providing stakeholders with reliable and consistent information on new forest disturbances in a timely manner. Google Earth Engine code to integrate various alert datesets is made openly available.
Bilayer ion trap design for 2D arrays
Authors: Nop Gavin N , Smith Jonathan D H , Stick Daniel , Paudyal Durga 
Published: April 2024

Abstract
Junctions are fundamental elements that support qubit locomotion in two-dimensional ion trap arrays and enhance connectivity in emerging trapped-ion quantum computers. In surface ion traps they have typically been implemented by shaping radio frequency (RF) electrodes in a single plane to minimize the disturbance to the pseudopotential. However, this method introduces issues related to RF lead routing that can increase power dissipation and the likelihood of voltage breakdown. Here, we propose and simulate a novel two-layer junction design incorporating two perpendicularly rotoreflected (rotated, then reflected) linear ion traps. The traps are vertically separated, and create a trapping potential between their respective planes. The orthogonal orientation of the RF electrodes of each trap relative to the other provides perpendicular axes of confinement that can be used to realize transport in two dimensions. While this design introduces manufacturing and operating challenges, as now two separate structures have to be precisely positioned relative to each other in the vertical direction and optical access from the top is obscured, it obviates the need to route RF leads below the top surface of the trap and eliminates the pseudopotential bumps that occur in typical junctions. In this paper the stability of idealized ion transfer in the new configuration is demonstrated, both by solving the Mathieu equation analytically to identify the stable regions and by numerically modeling ion dynamics. Our novel junction layout has the potential to enhance the flexibility of microfabricated ion trap control to enable large-scale trapped-ion quantum computing.
Evaluation of the standard test methods for optical coherence tomograph for the posterior segment of the human eye
Authors: Zhao Xiaowei , Liu Wenli , Hu Zhixiong , Duan Liangcheng , Wang Qingqing , Wei Xing , Li Fei , Hong Baoyu 
Published: April 2024

Abstract
Optical Coherence Tomography (OCT) has revolutionized retinal imaging by offering non-invasive high-resolution three-dimensional visualization capabilities. OCT has become the standard of care in routine ophthalmological practice, especially for the posterior segment. Given its widespread clinical applications, establishing standardized test devices and methods for key OCT parameters is imperative to ensure both optimal imaging performance and diagnostic accuracy and treatment effectiveness. As a widely applied standard, ISO 16971:2015 published by the International Organization for Standardization specifies the minimum requirements, test device, and methods for OCT for the posterior segment of the human eye. Notably, these standards lacked experimental validation. In the present study, we implement the test device according to ISO 16971:2015, and assess a commercially available ophthalmic OCT instrument with the suggested test device and methods. Results show that the test device and methods could facilitate a rudimentary evaluation of OCT key parameters. Nevertheless, refinements of the test device and methods are requisite to enhance measurement accuracy, reliability, traceability, and practicability, catering to the diverse needs of manufacturers, end-users, and regulatory entities.
Output feedback command filtered fuzzy controller design for uncertain strict-feedback nonlinear systems with unmodeled dynamics and event-triggered strategy
Authors: Sun Yue , Chen Ming , Gao Chuang , Wu Libing 
Published: April 2024

Abstract
An adaptive control problem is considered for a class of nth-order uncertain nonlinear systems with unmodeled dynamics. Compared with the traditional backstepping method, this article improves the systems performance by introducing command filtered and event-triggered. The former primarily enhances the flexibility of controller design, while the latter employs a variable threshold triggering mechanism to achieve savings in communication resources. Simultaneously, the estimation error is compensated by the introduced hyperbolic tangent function. In addition, fuzzy logic system (FLS) is primarily used for observer design and approximation of unknown functions. The conclusion that the closed-loop signals are bounded is obtained through stability analysis. Finally, the numerical simulation results provide a comparative validation of the effectiveness of the proposed control scheme.
Improved restricted Boltzmann machine-based optimization model for the network security system in cloud environment
Authors: R Manivannan , S Senthil kumar , T Senthil Kumar 
Published: April 2024

Abstract
This paper introduces a novel approach to enhancing computer network security through deep learning and cloud technologies, focusing on combating insider DDoS attacks in cloud computing. By employing the IRBM architecture and a trust-oriented secure cloud framework, the work utilizes parameter tuning in RBM through the Gradient-Based Optimization (GBO) algorithm resulting in the proposed IRBM-GBO model. This model significantly outperforms SVM, SC-CNSP-ML, and RBM in terms of latency and Packet Delivery Ratio (PDR), showing 21.67%, 14.55%, and 9.62% improvements in latency, and 10.23%, 5.43%, and 12.79% in PDR, respectively. The research highlights the potential of combining soft computing with deep learning and cloud technologies to identify cyberattacks by emphasising improvements in latency, Quality of Service (QoS), throughput, and PDR across various cybersecurity datasets.
Achieving Durable Forehead Line Outcomes With DaxibotulinumtoxinA: Early Experience in Real-World Clinical Practice
Authors: Lafkas Michael 
Published: April 2024

Abstract

Background
Irrespective of botulinum toxin type A (BoNT-A) product used, differences in duration between the frontalis and glabella can be a challenge. Since the approval of daxibotulinumtoxinA for injection (DAXI, DAXXIFY; Revance, Nashville, TN), injectors have been eager not only to reproduce the durable results observed in the glabella but also to achieve an extended duration in the frontalis.

Objectives
To describe how the author has successfully modified their injection technique to achieve extended DAXI duration in the frontalis.

Methods
In this study, the author presents an approach to obtaining longevity in the forehead with DAXI based on clinical experience performing more than 400 treatments on more than 250 patients with DAXI since product approval.

Results
DAXI has a limited diffusion profile. If patients are not injected in the mid-to-low frontalis directly, compensatory motion of the lower frontalis leads to premature return of movement, which can result in suboptimal DAXI injection and shortened patient-reported duration. With previous generations of BoNT-A products, some degree of migration from the upper frontalis injection sites and/or the glabella injection sites into the mid and low frontalis is sufficient to prevent this effect, but the precision of DAXI demands that these fibers be more deliberately addressed with a larger number of individual injections.

Conclusions
Through the use of more injection points, a wider area of treatment, and customization to fit patient needs, duration similar to that observed in clinical studies (20.9 weeks) can be achieved using between 20% and 33% fewer units of DAXI.

Level of Evidence: 4
Understanding YTHDF2-mediated mRNA degradation by m6A-BERT-Deg
Authors: Zhang Ting-He , Jo Sumin , Zhang Michelle , Wang Kai , Gao Shou-Jiang , Huang Yufei 
Published: April 2024

Abstract
N6-methyladenosine (m6A) is the most abundant mRNA modification within mammalian cells, holding pivotal significance in the regulation of mRNA stability, translation and splicing. Furthermore, it plays a critical role in the regulation of RNA degradation by primarily recruiting the YTHDF2 reader protein. However, the selective regulation of mRNA decay of the m6A-methylated mRNA through YTHDF2 binding is poorly understood. To improve our understanding, we developed m6A-BERT-Deg, a BERT model adapted for predicting YTHDF2-mediated degradation of m6A-methylated mRNAs. We meticulously assembled a high-quality training dataset by integrating multiple data sources for the HeLa cell line. To overcome the limitation of small training samples, we employed a pre-training-fine-tuning strategy by first performing a self-supervised pre-training of the model on 427 760 unlabeled m6A site sequences. The test results demonstrated the importance of this pre-training strategy in enabling m6A-BERT-Deg to outperform other benchmark models. We further conducted a comprehensive model interpretation and revealed a surprising finding that the presence of co-factors in proximity to m6A sites may disrupt YTHDF2-mediated mRNA degradation, subsequently enhancing mRNA stability. We also extended our analyses to the HEK293 cell line, shedding light on the context-dependent YTHDF2-mediated mRNA degradation.
Surgery for advanced neuroendocrine tumours of the small bowel: recommendations based on a consensus meeting of the European Society of Endocrine Surgeons (ESES)
Authors: Van Den Heede Klaas , van Beek Dirk-Jan , Van Slycke Sam , Borel Rinkes Inne , Norlén Olov , Stålberg Peter , Nordenström Erik 
Published: April 2024

Abstract

Background
Small bowel neuroendocrine tumours often present with locally advanced or metastatic disease. The aim of this paper is to provide evidence-based recommendations regarding (controversial) topics in the surgical management of advanced small bowel neuroendocrine tumours.

Methods
A working group of experts was formed by the European Society of Endocrine Surgeons. The group addressed 11 clinically relevant questions regarding surgery for advanced disease, including the benefit of primary tumour resection, the role of cytoreduction, the extent of lymph node clearance, and the management of an unknown primary tumour. A systematic literature search was performed in MEDLINE to identify papers addressing the research questions. Final recommendations were presented and voted upon by European Society of Endocrine Surgeons members at the European Society of Endocrine Surgeons Conference in Mainz in 2023.

Results
The literature review yielded 1223 papers, of which 84 were included. There were no randomized controlled trials to address any of the research questions and therefore conclusions were based on the available case series, cohort studies, and systematic reviews/meta-analyses of the available non-randomized studies. The proposed recommendations were scored by 38–51 members and rated ‘strongly agree’ or ‘agree’ by 64–96% of participants.

Conclusion
This paper provides recommendations based on the best available evidence and expert opinion on the surgical management of locally advanced and metastatic small bowel neuroendocrine tumours.