bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of PMMA sealing treatment on the corrosion behavior of plasma electrolytic oxidized titanium dental implants in fluoride-containing saliva solution
Authors: Mohammed Nawres Bahaa , Daily Zina Ali , Alsharbaty Mohammed Hussein , Abullais Shahabe Saquib , Arora Suraj , Lafta Holya A , Jalil Abduladheem Turki , Almulla Abbas F , Ramírez-Coronel Andrés Alexis , Aravindhan Surendar , Bathaei Masoud Soroush 
Published: November 2022

Abstract
Titanium (Ti) and its alloys are widely used as dental implant materials because of their high mechanical properties, biocompatibility, and corrosion resistance. This research was undertaken to study the effect of polymethyl-methacrylate (PMMA) sealing layer on the corrosion performance of plasma electrolytic oxidation (PEO)-coated titanium-based dental implants in pure saliva and fluoride-containing saliva solutions. The phase structure, chemical composition, and microstructure of coatings were investigated via x-ray diffraction, Fourier transform infrared spectroscopy, and scanning electron microscopy, respectively. The corrosion behavior of the samples was evaluated by open circuit potential, potentiodynamic polarization, and electrochemical impedance spectroscopy tests. The deposition of the PMMA layer on the PEO-coated Ti dental implants was found to effectively seal the micropores and microcracks of the TiO2 coatings and block corrosive ions’ penetration routes through the coating. Thereby, the results indicated that better corrosion performance was observed when the PMMA layer is applied on PEO-coated Ti dental implants than on the simple PEO coatings.
Developing clinical grade flexible implantable electronics
Authors: Liu Yu , Balsamo Domenico , Degenaar Patrick 
Published: November 2022

AbstractImplantable electronic sensors and systems are utilised in an increasingly broad array of clinical applications, such as pacemakers, neuro-modulators and bioelectronic vagal nerve controllers. Advances in microelectronics, materials, and bio-interfaces allow for new clinical applications and support fundamental research. However, a longstanding issue with such devices has been the mismatch between the relative stiffness of such structures compared to tissue softness. This disparity has led to tissue rejection in the form of scar tissue around implantable probes, leading to loss of function and/or capability. This review, therefore, explores the field of implantable electronics and neuroprosthetics with a particular focus on developments in soft, flexible devices. We include advancements in materials and device topologies as well as the current understanding of their long-term efficacy in biological tissue.
Multi-axis control of a qubit in the presence of unknown non-Markovian quantum noise
Authors: Youssry Akram , Nurdin Hendra I 
Published: November 2022

Abstract
In this paper, we consider the problem of open-loop control of a qubit that is coupled to an unknown fully quantum non-Markovian noise (either bosonic or fermionic). A graybox model that is empirically obtained from measurement data is employed to approximately represent the unknown quantum noise. The estimated model is then used to calculate the open-loop control pulses under constraints on the pulse amplitude and timing. For the control pulse optimization, we explore the use of gradient descent and genetic optimization methods. We consider the effect of finite sampling on estimating expectation values of observables and show results for single- and multi-axis control of a qubit.
Single-particle versus many-body phase coherence in an interacting Fermi gas
Authors: Pecci Giovanni , Naldesi Piero , Minguzzi Anna , Amico Luigi 
Published: November 2022

Abstract
In quantum mechanics, each particle is described by a complex valued wave-function characterized by amplitude and phase. When many particles interact each other, cooperative phenomena give rise to a quantum many-body state with a specific quantum coherence. What is the interplay between single-particle’s phase coherence and many-body quantum coherence? Over the years, such question has been object of profound analysis in quantum physics. Here, we demonstrate how the time-dependent interference formed by releasing an interacting degenerate Fermi gas from a specific matter-wave circuit in an effective magnetic field can tell apart the two notions. Single-particle phase coherence, indicated by the first-order correlator, and many-body quantum coherence, indicated by the density–density correlator, are displayed as distinct features of the interferogram. Single particle phase coherence produces spiral interference of the Fermi orbitals at intermediate times. Many-body quantum coherence emerges as long times interference. The interplay between single-particle coherence and many-body coherence is reflected in a stepwise dependence of the interference pattern on the effective magnetic field.
Magnetotransport as a probe for the interplay between Sm and Fe magnetism in SmFeAsO
Authors: Meinero M , Caglieris F , Leveratto A , Repetto L , Fujioka M , Takano Y , Zeitler U , Pallecchi I , Putti M 
Published: November 2022

Abstract
The complex magnetic ordering of parent compounds of most unconventional superconductors is crucial for the understanding of high-temperature superconductivity (SC). Within this framework, we have performed temperature-dependent magnetotransport experiments on a single crystal of SmFeAsO, a parent compound of iron pnictide superconductors. We observe multiple features in the measured transport properties at temperatures below the antiferromagnetic (AFM) ordering of Sm,

T
<

T

NSm

, which evolve with in-plane magnetic field, suggesting a rich variety of metamagnetic transitions never before observed in this compound. Considering that transport mainly involves Fe d orbitals at the Fermi level, these findings suggest that the features originate from magnetic transitions of the Fe moments sublattice, which in turn may be induced by magnetic transitions of the Sm moments sublattice via the interaction between Fe and Sm moments. We outline a possible scenario in which the Fe moments, strongly affected by the Sm ordering below T
NSm, reorder to an in-plane canted AFM structure, which is washed out by the application of an in-plane magnetic field up to 9 T. Our work shows that transport properties are a valuable tool for investigating magnetic ordering in iron pnictide parent compounds, where the interplay of magnetism and SC is believed to be the origin of high-temperature SC.
A deep neural network for oxidative coupling of methane trained on high-throughput experimental data
Authors: Ziu Klea , Solozabal Ruben , Rangarajan Srinivas , Takáč Martin 
Published: November 2022

Abstract
In this work, we develop a deep neural network model for the reaction rate of oxidative coupling of methane from published high-throughput experimental catalysis data. A neural network is formulated so that the rate model satisfies the plug flow reactor design equation. The model is then employed to understand the variation of reactant and product composition within the reactor for the reference catalyst Mn–Na2WO4/SiO2 at different temperatures and to identify new catalysts and combinations of known catalysts that would increase yield and selectivity relative to the reference catalyst. The model revealed that methane is converted in the first half of the catalyst bed, while the second part largely consolidates the products (i.e. increases ethylene to ethane ratio). A screening study of

⩾
3400

combinations of pairs of previously studied catalysts of the form M1(M2)

1
−
2

M3O
x
/support (where M1, M2 and M3 are metals) revealed that a reactor configuration comprising two sequential catalyst beds leads to synergistic effects resulting in increased yield of C2 compared to the reference catalyst at identical conditions and contact time. Finally, an expanded screening study of 7400 combinations (comprising previously studied metals but with several new permutations) revealed multiple catalyst choices with enhanced yields of C2 products. This study demonstrates the value of learning a deep neural network model for the instantaneous reaction rate directly from high-throughput data and represents a first step in constraining a data-driven reaction model to satisfy domain information.
Surface-modified carbon fiber for enhanced electromagnetic interference shielding performance in thermoplastic polyurethane composites
Authors: Yi Dongchan , Jeong Gwajeong , Park Seong-Dae , Yoo Myong Jae , Yang Hyunseung 
Published: November 2022

Abstract
There has been a growing interest in developing carbon-based polymer composites for electromagnetic interference (EMI) shielding materials. To achieve a high EMI shielding performance, the morphology of fillers in composites must be controlled. Although carbon fibers (CFs) have remarkable thermal and electrical properties and low density, their poor dispersion behavior within polymer matrix limits their practical applications as EMI shielding materials. In this study, we report an efficient method to disperse CFs within a thermoplastic polyurethane (TPU) matrix using pyranine-functionalized polyether (polyether–pyranine) as a dispersing agent. polyether–pyranine was grafted on the CF surfaces through π–π interactions between the CF and pyranine groups to produce surface-modified CFs (SCFs). Compared to CFs, the SCFs exhibited an improved dispersion stability within a TPU polymer matrix. Furthermore, a TPU composite with SCFs achieved an enhanced electrical conductivity and EMI shielding performance, which was primarily ascribed to the increased structural connectivity between the SCFs due to excellent dispersion.
Finite element-based homogenization model to determine effective properties of 0–3 and 1–3 electrostrictive composite
Authors: Singh Diwakar , Kumar Rajeev , Vaish Rahul 
Published: November 2022

Abstract
Representative volume element (RVE) based finite element method is employed to evaluate all the effective properties of electrostrictive composite. The attention is paid to designing the periodic boundary conditions to be applied to RVEs of electrostrictive study. The present study is conducted on particulate and fiber electrostrictive composites, in which electrostrictive ceramic (Pb(Mg1/3Nb2/3)O3-PbTO3- BaTiO3, PMN-PT-BT) is embedded into a non electrostrictive polymer (epoxy) matrix. In particulate composite, the spherical particles are randomly distributed and in fiber composites, cylindrical fibers are arranged in a square and hexagonal pattern. The study reveals that the electrostrictive composite does not only depends on the inclusion’s volume but also on their microstructure. The electrostrictive coefficient of the proposed composite is more than its constituent materials owing to the auxiliary flexibility of polymer matrix.
Study of ambipolar properties of organic-inorganic CH3NH3PbI3 perovskite for vertical field effect transistor
Authors: Agrawal Kalpana , Gupta Vinay , Srivastava Ritu , Rajput S S 
Published: November 2022

Abstract
A vertical field effect transistor (VFET) with short channel length of 120 nm, fabricated using organic-inorganic perovskite (CH3NH3PbI3) material shows the ambipolar properties and switches from P mode to N mode or vice versa, just by changing the polarity of applied bias. The operating voltage is as low as 0.5 V, which allows it to be integrated with solar cell devices and hence having the possibility of battery less mobile gadgets. To ensure the quality of VFET with CH3NH3PbI3 as a channel length, different parameters have been extracted. The transistor efficiency (TE), mobility (μ
p), and transconductance (gm) in P mode, have been estimated as 14 V−1, 1.5 cm2 V−1 s−1 and 500 ± 150 μS, respectively. For N mode, these parameters have been found to be as 4 V−1, 0.97 cm2V−1 s−1 and 60 ± 10 μS respectively. The hole and electron densities are found to be as ∼1016 cm−3 and ∼1014 cm−3 respectively which confirm the ambipolar nature of CH3NH3PbI3.
Pixel-wise classification in graphene-detection with tree-based machine learning algorithms
Authors: Cho Woon Hyung , Shin Jiseon , Kim Young Duck , Jung George J 
Published: November 2022

Abstract
Mechanical exfoliation of graphene and its identification by optical inspection is one of the milestones in condensed matter physics that sparked the field of two-dimensional materials. Finding regions of interest from the entire sample space and identification of layer number is a routine task potentially amenable to automatization. We propose supervised pixel-wise classification methods showing a high performance even with a small number of training image datasets that require short computational time without GPU. We introduce four different tree-based machine learning (ML) algorithms—decision tree, random forest, extreme gradient boost, and light gradient boosting machine. We train them with five optical microscopy images of graphene, and evaluate their performances with multiple metrics and indices. We also discuss combinatorial ML models between the three single classifiers and assess their performances in identification and reliability. The code developed in this paper is open to the public and will be released at github.com/gjung-group/Graphene_segmentation.
SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks
Authors: Moraitis Timoleon , Toichkin Dmitry , Journé Adrien , Chua Yansong , Guo Qinghai 
Published: November 2022

Abstract
Hebbian plasticity in winner-take-all (WTA) networks is highly attractive for neuromorphic on-chip learning, owing to its efficient, local, unsupervised, and on-line nature. Moreover, its biological plausibility may help overcome important limitations of artificial algorithms, such as their susceptibility to adversarial attacks, and their high demands for training-example quantity and repetition. However, Hebbian WTA learning has found little use in machine learning, likely because it has been missing an optimization theory compatible with deep learning (DL). Here we show rigorously that WTA networks constructed by standard DL elements, combined with a Hebbian-like plasticity that we derive, maintain a Bayesian generative model of the data. Importantly, without any supervision, our algorithm, SoftHebb, minimizes cross-entropy, i.e. a common loss function in supervised DL. We show this theoretically and in practice. The key is a ‘soft’ WTA where there is no absolute ‘hard’ winner neuron. Strikingly, in shallow-network comparisons with backpropagation, SoftHebb shows advantages beyond its Hebbian efficiency. Namely, it converges in fewer iterations, and is significantly more robust to noise and adversarial attacks. Notably, attacks that maximally confuse SoftHebb are also confusing to the human eye, potentially linking human perceptual robustness, with Hebbian WTA circuits of cortex. Finally, SoftHebb can generate synthetic objects as interpolations of real object classes. All in all, Hebbian efficiency, theoretical underpinning, cross-entropy-minimization, and surprising empirical advantages, suggest that SoftHebb may inspire highly neuromorphic and radically different, but practical and advantageous learning algorithms and hardware accelerators.
Tropical cyclone frequency: turning paleoclimate into projections
Authors: Wallace E J , Dee S G 
Published: November 2022

Abstract
Future changes to tropical cyclone (TC) climate have the potential to dramatically impact the social and economic landscape of coastal communities. Paleoclimate modeling and paleohurricane proxy development offer exciting opportunities to understand how TC properties (like frequency) change in response to climate variability on long time scales. However, sampling biases in proxies make it difficult to ascertain whether signals in paleohurricane records are related to climate variability or just stochasticity. Short observations and simulation biases prevent TC models from capturing the full range of climate variability and TC characteristics. Integration of these two data types can help address these uncertainties. Robust data model comparison in paleotempestology will require (a) simulating TCs using new paleoclimate data assimilation products and climate model ensembles, (b) building a central repository of open access paleohurricane proxies, (c) compiling paleohurricane records, and (d) filling key gaps in the existing paleohurricane networks. Incorporating the combined information from both paleohurricane proxies and paleo TC simulations into risk assessments for coastal communities could help improve adaptation strategies.
IBCOx-12 The Endoscopic Sleeve Gastroplasty Produces Durable Physiologic Changes: Results from a Randomized US Clinical Trial
Authors: Vargas E J , Kumbhari V , Chapman C , Teixeira A , Ujiki M , Thaemert B , Sharaiha R Z , Thompson C C , Abu Dayyeh B K 
Published: November 2022

Abstract

Background
Obesity is associated with faster gastric emptying and altered appetite. Endoscopic sleeve gastroplasty (ESG) has gained global adaptation, but our understanding of its physiologic mechanism of action and durability is limited. We sought to determine changes in gastric emptying, weight loss, and eating behaviors after ESG when compared to moderate-intensity lifestyle interventions (LS) in the short and long-term.

Methods
This is an a priori designed sub-study of a large ongoing multicenter US RCT (MERIT trial), where adults with BMI 30-40 kg/m2 were randomized to ESG versus moderate-intensity LS alone. We measured gastric emptying (T1/2) using a 4- hour gastric emptying breath test at baseline, 3 and 12 months into the study. We reported weight loss outcomes as percent total body weight lost (%TBWL). Changes in three eating behaviour domains (Cognitive Restraint [CR], Emotional Eating [EE], Uncontrolled Eating [UE]) were assessed using the Three-Factor Eating Questionnaire (TFEQ) at 6 months. The primary outcome was the change in T1/2 (minutes) at 3 months, and secondary outcomes were changes in T1/2 at 12 months, %TBWL, and eating behaviours. We used the t-test for the analyses. Linear regression was performed to determine the association between gastric emptying and weight loss.

Results
46 patients were randomized in the study (ESG n=26; LS n=20). Baseline characteristics were similar between the two groups. Out of n=46, n=43, and n=31 subjects have reached 3 and 12 months, respectively. Three patients dropped out of the study. At 3 months, T1/2 (minutes) was delayed in the ESG group (n=24) compared to the LS group (n=19) (170.8 vs. 87.5; p&lt;0.0001). At 12 months, T1/2 was still delayed in the ESG group (n=17) vs. control group (n=14) (133.4 vs. 87.6; p=0.0005), and delayed compared to baseline. %TBWL in the ESG group was 12.3%, 15.1% and 15.7% at 3, 6 and 12 months (p &lt;0.01 compared to baseline), while it was 2.3%, 2.2% and 0.3% (p&gt;0.05 compared to baseline) in the LS group. Greater delays in gastric emptying at 3 months correlated with weight loss at all time points. (Figure 1) At 6 months, significant improvements in the EE and UE domains were seen in both groups, but for CR, only significant improvements were seen in the ESG group. Percent total fasting ghrelin, GLP-1, and PYY increased at 12 months in the ESG group compared to LS control (51%, 51%, 6.3% vs. -9%, 4%, -10.5%). Only 1 SAE managed endoscopically with full recovery was reported in the ESG group.

Conclusions
ESG produces sustained physiologic alterations in appetite regulatory pathways and durable weight-loss. This provides further evidence supporting the clinical adoption of the technique as a durable and effective obesity therapy.
IBCOx-17 Safety of Single Stage Revision Laparoscopic Sleeve Gastrectomy Compared to Laparoscopic Roux-Y Gastric Bypass After Failed Gastric Banding
Authors: Janik M , Ibikunle C , Khan A , Aryaie A 
Published: November 2022

Abstract

Background
Reoperation, after failed gastric banding, is a controversial topic. A common approach is band removal with conversion to gastric bypass or sleeve gastrectomy in a single-step procedure. In 2017 the analysis of MBSQAIP Participant User File (PUF) from 2015 revealed that conversion to sleeve gastrectomy might be a safer approach when compared to gastric bypass surgery. We decided to utilize MBSAQIP data from 2015-2018 and replicate the study, addressing critical methodological flaws. This study aimed to assess the safety of revisional surgery to laparoscopic sleeve gastrectomy (LSG) compared to laparoscopic Roux-Y gastric bypass (LRYGB) after failed laparoscopic adjustable gastric banding (LAGB) based on MBSAQIP Participant User File from 2015 to 2018.

Methods
Patients who underwent a one-stage conversion of LAGB to LSG (Conv-LSG) or LRYGB (Conv-LRYGB) were identified in the MBSAQIP PUF from 2015 to 2017. Conv-LRYGB cases were matched (1:1) with Conv-LSG patients using propensity scoring to control for potential confounding. The primary outcome was all-cause mortality. Secondary outcomes were readmission, reoperation, intervention, leak and bleed rates, and morbidity.

Results
A total of 9 974 patients (4987 matched pairs) were included in the study. The groups were closely matched as intended. was associated with higher risk for readmission Conv-LRYGB, as compared with conv-SG, was associated with a similar risk of mortality (0.02% vs. 0.02%; relative risk [RR], 0.33; 95% confidence interval [CI], 0.03 to 3.20, p=0.32). Conversion to LRYGB increased the risk for readmission (6.16% vs. 3.77%; RR, 1.63; 95%CI, 1.37 to 1.94, p&lt;0.01); reoperation (2.15% vs. 1.36%; RR, 1.57; 95%CI, 1.17 to 2.12, p=&lt;0.01); intervention (3.19% vs. 1.32%; RR, 2.41; 95%CI, 1.82 to 3.19, p&lt;0.01); leak (1.76% vs. 1.02%; RR, 1.57; 95%CI, 1.72 to 2.42, p&lt;0.01); bleeding (1.66% vs. 1.00%; RR, 1.66; 95%CI, 1.7 to 2.34, p&lt;0.01); and morbidity (4.97% vs. 2.35%; RR, 2.12; 95%CI, 1.70 to 2.63, p&lt;0.01).

Conclusions
The study confirms that a single stage conversion of failed gastric banding is associated with greater morbidity and higher complication rates when converted to LRYGB versus LSG in the first 30 days postoperatively. These differences are significant with regards to readmission, reoperation, intervention, leak and bleed rates, and morbidity.
Textbook outcome in hepato-pancreato-biliary surgery: systematic review
Authors: Pretzsch Elise , Koliogiannis Dionysios , D’Haese Jan Gustav , Ilmer Matthias , Guba Markus Otto , Angele Martin Konrad , Werner Jens , Niess Hanno 
Published: November 2022

AbstractBackgroundTextbook outcome (TO) is a multidimensional measure reflecting the ideal outcome after surgery. As a benchmarking tool, it provides an objective overview of quality of care. Uniform definitions of TO in hepato-pancreato-biliary (HPB) surgery are missing. This study aimed to provide a definition of TO in HPB surgery and identify obstacles and predictors for achieving it.MethodsA systematic literature search was conducted using PubMed, Embase, and Cochrane Database according to PRISMA guidelines. Studies published between 1993 and 2021 were retrieved. After selection, two independent reviewers extracted descriptive statistics and derived summary estimates of the occurrence of TO criteria and obstacles for achieving TO using co-occurrence maps.ResultsOverall, 30 studies were included. TO rates ranged between 16–69 per cent. Commonly chosen co-occurring criteria to define TO included ‘no prolonged length of stay (LOS)’, ‘no complications’, ‘no readmission’, and ‘no deaths’. Major obstacles for achieving TO in HPB surgery were prolonged LOS, complications, and readmission. On multivariable analysis, TO predicted better overall and disease-free survival in patients with cancer. Achievement of TO was more likely in dedicated centres and associated with procedural and structural indicators, including high case-mix index and surgical volume.ConclusionTO is a useful quality measure to benchmark surgical outcome. Future definitions of TO in HPB surgery should include ‘no prolonged LOS’, ‘no complications’, ‘no readmission’, and ‘no deaths’.