bluuebunny/crossref_metadata_2025_split huggingface dataset:
The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma
Authors: Choi Nayeon , Kim Junghyun , Yi Heejun , Kim HeeJung , Kim Tae Hwan , Chung Myung Jin , Ji Migyeong , Kim Zero , Son Young-Ik 
Published: June 2023

AbstractMost recent survival prediction has been based on TNM staging, which does not provide individualized information. However, clinical factors including performance status, age, sex, and smoking might influence survival. Therefore, we used artificial intelligence (AI) to analyze various clinical factors to precisely predict the survival of patients with larynx squamous cell carcinoma (LSCC). We included patients with LSCC (N = 1026) who received definitive treatment from 2002 to 2020. Age, sex, smoking, alcohol consumption, Eastern Cooperative Oncology Group (ECOG) performance status, location of tumor, TNM stage, and treatment methods were analyzed using deep neural network (DNN) with multi-classification and regression, random survival forest (RSF), and Cox proportional hazards (COX-PH) model for prediction of overall survival. Each model was confirmed with five-fold cross validation, and performance was evaluated using linear slope, y-intercept, and C-index. The DNN with multi-classification model demonstrated the highest prediction power (1.000 ± 0.047, 0.126 ± 0.762, and 0.859 ± 0.018 for slope, y-intercept, and C-index, respectively), and the prediction survival curve showed the strongest agreement with the validation survival curve, followed by DNN with regression (0.731 ± 0.048, 9.659 ± 0.964, and 0.893 ± 0.017, respectively). The DNN model produced with only T/N staging showed the poorest survival prediction. When predicting the survival of LSCC patients, various clinical factors should be considered. In the present study, DNN with multi-class was shown to be an appropriate method for survival prediction. AI analysis may predict survival more accurately and improve oncologic outcomes.
Recent developments in the solvent-free synthesis of heterocycles
Authors: Dey Nilabrata , Mandal Arabinda , Jana Rathin , Bera Anirban , Azad Sk Abulkalam , Giri Soumen , Ikbal Mohammed , Samanta Shubhankar 
Published: June 2023

We have emphasized recent studies (2010 to 2022) on the solvent-free conditions of various heterocycles (N, O, S), which have been synthesized via oxidation, reduction, condensation, and conjugated reactions.
Reproducible Speech Research With the Artificial Intelligence–Ready PERCEPT Corpora
Authors: Benway Nina R. , Preston Jonathan L. , Hitchcock Elaine , Rose Yvan , Salekin Asif , Liang Wendy , McAllister Tara 
Published: June 2023

Background:
Publicly available speech corpora facilitate reproducible research by providing open-access data for participants who have consented/assented to data sharing among different research teams. Such corpora can also support clinical education, including perceptual training and training in the use of speech analysis tools.

Purpose:
In this research note, we introduce the PERCEPT (Perceptual Error Rating for the Clinical Evaluation of Phonetic Targets) corpora, PERCEPT-R (Rhotics) and PERCEPT-GFTA (Goldman-Fristoe Test of Articulation), which together contain over 36 hr of speech audio (> 125,000 syllable, word, and phrase utterances) from children, adolescents, and young adults aged 6–24 years with speech sound disorder (primarily residual speech sound disorders impacting /ɹ/) and age-matched peers. We highlight PhonBank as the repository for the corpora and demonstrate use of the associated speech analysis software, Phon, to query PERCEPT-R. A worked example of research with PERCEPT-R, suitable for clinical education and research training, is included as an appendix. Support for end users and information/descriptive statistics for future releases of the PERCEPT corpora can be found in a dedicated Slack channel. Finally, we discuss the potential for PERCEPT corpora to support the training of artificial intelligence clinical speech technology appropriate for use with children with speech sound disorders, the development of which has historically been constrained by the limited representation of either children or individuals with speech impairments in publicly available training corpora.

Conclusions:
We demonstrate the use of PERCEPT corpora, PhonBank, and Phon for clinical training and research questions appropriate to child citation speech. Increased use of these tools has the potential to enhance reproducibility in the study of speech development and disorders.
Near range breakdown of the phase centre approximation
Authors: Brown Daniel C. , Blanford Thomas E. 
Published: June 2023

AbstractSynthetic aperture sonar image reconstruction relies on the coherence of overlapping phase centres to provide accurate micronavigation for a sensed scene. It is shown that phase centres lose coherence for near‐range scattering from large synthetic aperture sonar arrays due to the fundamentally bistatic nature of these sensors. This effect is modelled using the van Cittert‐Zernike theorem and a point‐based sonar scattering model. Reduction of the window length used in the delay estimation process can partially mitigate the loss of coherence at the expense of increased variance in the resulting delay estimates.
Network adaptation for color image semantic segmentation
Authors: An Taeg‐Hyun , Kang Jungyu , Min Kyoung‐Wook 
Published: June 2023

AbstractImage analysis using deep learning has made significant progress in the last few decades, and the importance of pre‐processing input images has become evident. However, adapting a network structure suitable for input images has not been considered. In this study, a simple network adaptation method for color image analysis is described. The method is illustrated using semantic segmentation, which mainly takes a color image as input. The method is inspired by chrominance subsampling, which is a practical method for image and video analysis. The human visual system is less sensitive to color differences than it is to brightness, and based on this phenomenon, it is possible to improve existing networks by providing less resolution to chroma information than luminance information in the network encoder design by applying the group convolution concept. The proposed method helps to achieve improved results without changing the complexity of the baseline network model, and is especially helpful in applications with limited resources, such as autonomous driving, augmented reality. Experiments were performed on a combination of datasets (i.e. CamVid, Cityscapes and KITTI‐360) and networks (i.e. ENet, ERFNet, Deeplabv3plus with mobilenetv2). The results show that the method improves the performance of existing network structures without increasing the number of parameters.
Inhibitory effect of zinc oxide nanoparticles and fibrillar chitosan‐zinc oxide nanostructures against herpes simplex virus infection
Authors: Abbasi Mahya , Arab‐Bafrani Zahra , Zabihi Erfan , Babaei Amir , Jafari Seyyed Mahdi , Barani Mahmood , Mousavi Elham 
Published: June 2023

AbstractAlthough zinc ions have a strong antiviral impact against viral infections, they have a high level of toxicity in cell culture and in animal models. In the current work, ZnO nanoparticles (ZnO NPs) and fibrillar chitosan‐ZnO nanostructures (CS‐ZnO NSs) were synthesized in order to evaluate their cytotoxicity and inhibitory impact against HSV (herpes simplex virus) replication in vitro using the MTT, plaque, and Real‐time PCR methods. Also, different characterization approaches such as FE‐SEM, XRD, FTIR and fluorescence microscope were used to evaluate prepared NPs. The findings revealed that CS‐ZnO NSs exhibit negligible cytotoxicity in cells, whereas ZnO NPs were exceedingly harmful at high doses. Also, CS‐ZnO NSs could considerably internalize cells and reduce virus titration in HSV‐infected cells. Furthermore, their inhibitory effect against HSV replication was quite effective, which may be more related to the antiviral activity of chitosan and ZnO. In conclusion, the new fibrillar chitosan‐ZnO NS was prepared with the least toxicity for host cells.
Co(OAc)2/TBHP as a Highly Active Catalytic System for the Selective Oxidation of Aromatic Amines to Nitro Derivatives
Authors: Yin Weiyan , Yu Junxia , Wu Liqiong , Yao Lifeng 
Published: June 2023

AbstractAn efficient cobalt-catalyzed protocol for the selective oxidation of anilines using a combination of inexpensive tert-butyl hydroperoxide and Co(OAc)2·4H2O without any ligand has been developed, providing the nitroarene products in good to excellent yields (up to 96%).
Ca2+ enhanced far-red emission performance and efficiency of SrGd2Al2O7:Mn4+ phosphor for the potential application in plant growth lighting
Authors: Yu Yi , Shao Kai , Niu Chonghui , Dan Mingjie , Wang Zhibin , Wang Yingying , Chen Jie , Luo Jiani , Liu Shiying , Xie Zhi 
Published: June 2023

Mn-based phosphors with the wavelength of 700–750 nm are an important category of far-red phosphors that have promising potential in the application of plant lighting, and the higher ability of the far-red light emitting of the phosphors is beneficial to plant growth. Herein, a series of Mn4+- and Mn4+/Ca2+-doped double perovskite SrGd2Al2O7 red-emitting phosphors with wavelengths centered at about 709 nm were successfully synthesized by means of a traditional high-temperature solid-state method. First-principles calculations were conducted to explore the intrinsic electronic structure of SrGd2Al2O7 for a better understanding of the luminescence behavior in this material. Extensive analysis demonstrates that the introduction of Ca2+ ions into the SrGd2Al2O7:Mn4+ phosphor has significantly boosted the emission intensity, internal quantum efficiency, and thermal stability by 170%, 173.4%, and 113.7%, respectively, which are superior to those of most other Mn4+-based far-red phosphors. The mechanism of the concentration quench effect and the positive effect of co-doping Ca2+ ions in the phosphor were extensively explored. All studies suggest that the SrGd2Al2O7:0.1%Mn4+, 11%Ca2+ phosphor is a novel phosphor that can be used to effectively promote the growth of plants and regulate the flowering cycle. Therefore, promising applications can be anticipated from this new phosphor.
In-air experimental achievement of high-voltage DC power supply to be installed in a tandem electrostatic accelerator system for boron neutron capture therapy application
Authors: Min Sun-Hong , Park Chawon , Kim Minho , Jung Hyunwoo , Back JongHyun , Park Seungwoo , Hong Bong Hwan 
Published: June 2023

The boron neutron capture therapy (BNCT) system developed by the Korea Institute of Radiological and Medical Sciences is a compact neutron source that can be installed at medical institutes. The target energy was accelerated to a maximum of 2.4 MeV–20 mA by introducing a gas stripping device that converts negative hydrogen ions into positive ions. By using the tandem-type accelerator in this way, a high-voltage DC power supply was designed with 1.2 MV–45 mA as the maximum capability. The design was improved to reduce the number of stages of a Cockcroft–Walton voltage multiplier. Hence, the ripple risk of the DC flat top resulting from unwanted stray capacitance was lowered. The overall height and volume of the Cockcroft–Walton voltage multiplier were reduced to less than half those of the existing design method, making miniaturization possible. After such advanced design and manufacturing, performance tests were performed at 750 kV–45 mA under 23 stages of the Cockcroft–Walton voltage multiplier, which is the highest level that can perform at its maximum under in-air conditions. It demonstrated stable performance under in-air conditions without breakdown for 2 h, even at 620 kV–35 mA. To reach the final target of 1.2 MV–45 mA, the groundwork is laid for achieving experimental performance while satisfying the optimal requirements in SF6 gas.
Metaphorical polysemy of the Chinese color termhēi黑 “black”
Authors: Liu Meichun , Dou Jinmeng 
Published: June 2023

AbstractThis paper reports a corpus-based, cognitive semantic study on profiling the varied uses of the Chinese color termhēi黑“black” with regard to its metaphorical polysemy. We hypothesize that the semantic (dis)similarities among the eight metaphorical meanings ofhēi“black” can be captured by clustering their contextual features, including collocational patterns, morphosyntactic and semantic properties, and discourse information. The Behavioral Profiles approach is adopted for the analyses with the annotations of 800 instances for 46 contextual features and a hierarchical agglomerative cluster analysis conducted on the annotated data. The results show that the eight metaphorical senses ofhēi“black” fall into three clusters. This clustering can be explained by the conceptual bases pertaining to color perceptions and color changes, in line with Conceptual Metaphor Theory. This study demonstrates the effectiveness of the corpus-based Behavioral Profiles approach in exploring the underlying cognitive mechanisms of metaphorical extensions and meaning differentiations.
Investigation of Faraday cage materials with low eddy current and high RF shielding effectiveness for PET/MRI applications
Authors: Dong Qian , Adams Zander , Watkins Ronald D , Chang Chen-Ming , Lee Brian J , Levin Craig S 
Published: June 2023

Abstract

Objective. This study aims to evaluate radiofrequency (RF) shielding effectiveness (SE), gradient-induced eddy current, magnetic resonance (MR) susceptibility, and positron emission tomography (PET) photon attenuation of six shielding materials: copper plate, copper tape, carbon fiber fabric, stainless steel mesh, phosphor bronze mesh, and a spray-on conductive coating. Approach. We evaluated the six shielding materials by implementing them on identical clear plastic enclosures. We measured the RF SE and eddy current in benchtop experiments (outside of the MR environment) and in a 3T MR scanner. The magnetic susceptibility performance was evaluated in the same MR scanner. Additionally, we measured their effects on PET detectors, including global coincidence time resolution, global energy resolution, and coincidence count rate. Main results. The RF SEs for copper plate, copper tape, carbon fiber fabric, stainless steel mesh, phosphor bronze mesh, and conductive coating enclosures were 56.8 ± 5.8, 63.9 ± 4.3, 33.1 ± 11.7, 43.6 ± 4.5, 52.7 ± 4.6, and 47.8 ±7.1 dB, respectively, in the benchtop experiment. Copper plate and copper tape experienced the most eddy current at 10 kHz in the benchtop experiment and also generated the largest ghosting artifacts in the MR scanner. Stainless steel mesh had the highest mean absolute difference (7.6 ±0.2 Hz) compared to the reference in the MR susceptibility evaluation. The carbon fiber fabric and phosphor bronze mesh enclosures caused the largest photon attenuation, reducing the coincidence count rate by 3.3%, while the rest caused less than 2.6%. Significance. The conductive coating proposed in this study is shown to be a high-performance Faraday cage material for PET/MRI applications based on its overall performance in all the experiments conducted in this study, as well as its ease and flexibility of manufacturing. As a result, it will be selected as the Faraday cage material for our second-generation MR-compatible PET insert.
The Aharonov Casher phase of a bipartite entanglement pair traversing a quantum square ring
Authors: Huang Che-Chun , Tan Seng Ghee , Chang Ching-Ray 
Published: June 2023

Abstract
We propose in this article a quantum square ring that conveniently generates, annihilates and distills the Aharonov Casher phase with the aid of entanglement. The non-Abelian phase is carried by a pair of spin-entangled particles traversing the square ring. At maximal entanglement, dynamic phases are eliminated from the ring and geometric phases are generated in discrete values. By contrast, at partial to no entanglement, both geometric and dynamic phases take on discrete or locally continuous values depending only on the wavelength and the ring size. We have shown that entanglement in a non-Abelian system could greatly simplify future experimental efforts revolving around the studies of geometric phases.
An image encryption scheme based on elementary and life-liked cellular automatons
Authors: Lv Wenrui , Fu Chong , Chai Xiuli , Zhang Leo Yu , Chen Junxin 
Published: June 2023

Abstract
Among the encryption technologies with chaos theory, cellular automatons with feature of discrete dynamical system and easy implementation, have unique advantages. Based on the Elementary and Life-liked cellular automaton, a new image encryption scheme is proposed in this paper. In this scheme, encryption equations are space distributed according to a chaotic map, and pixels in different areas might be encrypted with distinct encryption kernels. This fashion can provide additional security for the whole system. The simulation results and security analysis demonstrate the effectiveness and advantages of the proposed cryptosystem.
Causal structure and the geodesics in the hairy extension of the Bertotti-Robinson spacetime
Authors: Memari Vahideh , Mazharimousavi S Habib 
Published: June 2023

Abstract
A hairy extension of the Bertotti-Robinson regular spacetime has been recently introduced in the context of the Einstein-Maxwell-Scaler theory that surprisingly is a singular black hole formed in the S
3 background spatial topology [CQG39(2022)167001]. In this research, we first clarify the topology of the spacetime based on the coordinate transformations as well as the energy-momentum configuration and the causal structure of the black hole. Furthermore, we investigate the geodesics of the null and timelike particles in this spacetime. It is shown that in the radial motion on the equatorial plane, while photons may collapse to the singularity or escape to the edge of the Universe, a massive particle always collapses to the singularity. The general geodesics of null and massive particles reveal that all particles except the outgoing light ray, eventually fall into the black hole.
The effect of the plasma response on peeling–ballooning modes during edge localized modes mitigated by resonant magnetic perturbations
Authors: Dong L.K. , Chen S.Y. , Mou M.L. , Luo Y. , Qin C.C. , Tang C.J. 
Published: June 2023

Abstract
The effects of resonant magnetic perturbation (RMP) fields on peeling–ballooning (P–B) modes are studied with the experimental equilibria of EAST based on the four-field model in BOUT++ code. As the two basic types of plasma responses, the magnetic and the transport response to RMP are considered in our simulation to reveal the roles of the plasma response during edge localized mode mitigation. On the one hand, the results show that RMP can reduce the linear growth rates of the P–B modes and the pedestal energy loss in the nonlinear process by directly coupling with the P–B modes. The magnetic response can weaken the impacts of RMPs on the P–B modes by partially screening the applied RMP fields more precisely the resonant components. On the other hand, RMP can further reduce the linear growth rates of the P–B modes and the pedestal energy loss by changing the equilibrium pressure profiles through the transport response. More detailed analysis suggests that, compared with other resonant components of RMPs, the components whose corresponding rational surfaces are located at the top of the pedestal can lead to stronger reductions in the linear growth rates of the P–B modes, and can reduce pedestal energy loss more significantly by enhancing multi-mode coupling in the nonlinear process. Finally, the multi-mode coupling increases with the strength of the resonant components, so one can change the RMP poloidal spectrum by adjusting the phase difference

Δ

ϕ

between the upper and low RMP coils from

0

to

360
∘

, and hence obtain the optimal coil phase difference that leads to the strongest reductions in the linear growth rates of the P–B modes and the pedestal energy loss through maximizing the strength of resonant components, especially the resonant components whose corresponding rational surfaces are located at the top of the pedestal.
Pellet-fueled I-mode plasmas in ASDEX Upgrade
Authors: Silvagni D. , Lang P.T. , Happel T. , Bock A. , Fischer R. , Gil L. , Kardaun O.J.W.F. , McDermott R.M. , Plank U. , Plöckl B. , Stieglitz D. , Tardini G. 
Published: June 2023

Abstract
This letter reports on the efforts carried out at the ASDEX Upgrade tokamak to integrate I-mode plasmas with pellet fueling and to increase the I-mode Greenwald fraction

f

G
W

, two important requirements for any DEMO operational scenario. For the first time, stationary I-mode plasmas have been achieved with pellet fueling and the core Greenwald fraction has been increased up to 0.8. Larger

f

G
W

were not achieved due to technical constraints rather than to a physics-based limit. Pellet-fueled I-mode plasmas exhibit enhanced core and edge density, while core and edge temperature are reduced. Nonetheless, edge normalized gradients remain I-mode-like, namely shallow for the density and steep for the temperature. The I-mode energy confinement time is found to obey two distinct density dependencies: for

f

G
W

<
0.4

it rises with increasing

f

G
W

, while for

f

G
W

>
0.4

the energy confinement time plateaus with increasing

f

G
W

, or even decreases with

f

G
W

for the pellet-fueled plasmas. Similarities with Ohmic and L-mode energy confinement time dependency on density are discussed.
Reoperative surgery after magnetic sphincter augmentation
Authors: Poola Ashwini S , Gatta Prakash 
Published: June 2023

Abstract
Reoperative surgery following magnetic sphincter augmentation (MSA) is rare. The clinical indications include the removal of MSA for dysphagia, the recurrence of reflux, or the issues of erosion. Diagnostic evaluation follows that of patients with recurrent reflux and dysphagia following surgical fundoplication. Procedures following the complications of MSA can be performed in a minimally invasive fashion, either endoscopically or robotic/laparoscopically, with good clinical outcomes.
Methyl salicylate improves the effectiveness of the odor-baited trap tree approach for adult plum curculio, Conotrachelus nenuphar (Coleoptera: Curculionidae), monitoring and attract-and-kill
Authors: Regmi Prabina , Leskey Tracy C , Piñero Jaime C 
Published: June 2023

Abstract
In commercial apple orchards, the odor-baited trap tree approach involving the synergistic lure composed of benzaldehyde (BEN) and the PC aggregation pheromone grandisoic acid (GA) serves as an effective monitoring tool as well as an attract-and-kill strategy for plum curculio (PC), Conotrachelus nenuphar Herbst. (Coleoptera: Curculionidae), management. However, the relatively high cost of the lure and the degradation of commercial BEN lures by UV light and heat discourage its adoption by growers. Over a 3-yr period, we compared the attractiveness of methyl salicylate (MeSA), either alone or in combination with GA, to plum curculio (PC) with that of the standard combination of BEN + GA. Our main goal was to identify a potential replacement for BEN. Treatment performance was quantified using 2 approaches: (i) unbaited black pyramid traps (2020, 2021) to capture PC adults and (ii) PC oviposition injury (2021, 2022) on apple fruitlets of trap trees and of neighboring trees to assess potential spillover effects. Traps baited with MeSA captured significantly more PCs than unbaited traps. Trap trees baited with a single MeSA lure and 1 GA dispenser attracted a similar number of PCs as trap trees baited with the standard lure composed of 4 BEN lures and 1 GA dispenser based on PC injury. Trap trees baited with MeSA + GA received significantly more PC fruit injury than neighboring trees suggesting no or limited spill-over effects. Our collective findings suggest that MeSA is a replacement for BEN thereby cutting costs of lures by ca. 50% while maintaining trap tree effectiveness.