bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Dual-branch Framework Based on Implicit Continuous Representation for Tumor Image Segmentation
Authors: Wang Jing , Zheng Yuanjie , Wang Junxia , Xiao Xiao , Sun Jing 
Published: November 2023

Abstract

Breast tumor segmentation has important significance for early detection and determination of treatment plans. However, segmenting early-stage small tumors in breast images is challenging due to small and low-resolution tumor regions, variation of tumor shapes, and blurred tumor boundaries. More importantly, breast scans are usually noisy and include metal artifacts. Most of the existing tumor segmentation methods have difficulty in extracting lesion discriminative information, leading to the problem that small tumors are ignored or predictions contain a lot of noise. In addition, common reconstruction and segmentation algorithms are based on discrete images and ignore the continuity of feature space. Therefore, in this paper, we investigate a novel and flexible dual-branch framework, named High-Resolution and Information Bottleneck-based Segmentation Network (HR-IBS), for breast tumor segmentation. For the first time, this method introduces the high-resolution tumor region reconstruction (HR-TR) branch via implicit neural representations to learning functions that map the discrete input signal to continuous density. The branch enables reconstruction from lesion regions for another segmentation branch. Furthermore, we design an Information bottleneck-based segmentation (IBS) branch, which adopts information bottleneck and U-Net to retain the features most relevant while removing noisy regions, and discovering more informative lesion regions. The reconstruction and segmentation branches interact with each other to facilitate performance. Comprehensive experiments are conducted on segmentation benchmarks of two modalities of breast images. The results show that the proposed method outperforms other segmentation models and contributes to optimizing hand-crafted ground-truths.
A study of event position dependence for the AMoRE-II R&amp;D detectors with Li2MoO4 crystal absorbers
Authors: Kim W.T. , Kim S.C. , Sharma B. , Kim Y.D. , Kim Y.H. , Lee M.H. 
Published: November 2023

Abstract

The AMoRE collaboration conducts experiments to search for the neutrinoless double beta decay of 100Mo using massive Li2MoO4 (LMO) crystals with cryogenic sensors. The forthcoming phase (AMoRE-II) of the experiment will include 6 cm (diameter) × 6 cm (height) LMO cylindrical crystals, and this has been chosen to reduce the number of crystals and sensors. Additionally, these crystals will have diffusive surfaces rather than polished ones, which helps to reduce the crystal preparation time significantly. The signal of crystals with diffusive surfaces is slower than that of polished crystals. However, due to the mitigated position dependence, diffusive crystals exhibit better discrimination between alpha and beta/gamma signals by pulse shape analysis. We also found that muon events show two bands in the rise time of the large LMO crystal with polished surface, indicating the muon passage at the edge of the crystal and the mitigation of the band structure in the crystals with the diffusive surface. To study the position dependence in the crystal absorber further, we irradiated some R&D detectors with localized alpha sources. In this paper, we discuss the particle identification and position dependence of gamma, alpha, and muon events for the large AMoRE-II type detectors based on the pulse shape analysis
Wideband Amplification for IBS-CAPP's Axion Search Experiments
Authors: Kim JinMyeong , Ko Minsu , Uchaikin Sergey , Ivanov Boris , Loo Arjan F. van , Nakamura Yasunobu , Oh Seonjeong , Gkika Violeta , Semertzidis Yannis , Ahn Saebyeok 
Published: November 2023

Abstract

We present a novel amplifier configuration that combines six relatively narrow-band flux-drive Josephson Parametric Amplifiers (JPAs) to extend the bandwidth for the axion search experiments. We have addressed challenges related to the tuning and cross-talk resulting from JPA band overlap while maintaining low noise levels. Our measurements demonstrate that the added noise by an RF chain, with the JPA acting as the primary stage amplifier, remains between 75 and 175 mK from 1.19 to 1.33 GHz and from 1.36 to 1.5 GHz.
Research on cuttings image segmentation method based on improved MultiRes-Unet++ with attention mechanism
Authors: Huo Fengcai , Liu Kaiming , Dong Hongli , Ren Weijian , Dong Shuai 
Published: November 2023

Abstract

Cuttings logging is an important technology in petroleum exploration and production. It can be used to identify rock types, oil and gas properties, and reservoir features. However, the cuttings collected during cuttings logging are often small and few. Meanwhile, the surface color of cuttings is dark and the boundary is fuzzy. Traditional image segmentation methods have low accuracy. So it is difficult to identify and classify cuttings. Therefore, it is important to improve the accuracy of cuttings image segmentation. A deep learning-based cuttings image segmentation method is proposed in this paper. Firstly, the MultiRes module concept based on the U-Net + + segmentation model is introduced in this paper, which proposes an improved end-to-end U-Net + + image semantic segmentation model (called MultiRes-UNet++). Secondly, batch normalization (BN) into the input part of each layer's feature convolution layer is introduced too. Finally, a convolutional attention mechanism in the improved MultiRes-UNet + + segmentation model is introduced. Experimental results show that the accuracy (ACC) between the segmentation results and the original image labels is 0.8791, the dice coefficient (DICE) value is 0.8785, and the intersection over union (IOU) is 0.7833. Compared with existing neural network segmentation algorithms, the performance is improved by about 5%. Compared with the algorithm before the fusion of the attention mechanism, the training speed is increased by about 75.2%. Our method can provide auxiliary information for cuttings logging. It is also of great significance for subsequent rock identification and classification.
Quasilinear elliptic system with sub-natural and natural growth terms in distinct equations
Authors: Silva João Pablo Da , Rodrigues Gabriela 
Published: November 2023

Abstract
In this paper, we study the following system: −∆pu = λ*a(x)uq−1 + c(x)uα−1vβ,in Ω −∆pv = µb(x)vp−1 + c(x)uαvβ−1,in Ω 0 ̸≡ u ≥ 0, 0 ̸≡ v ≥ 0 in Ω u = v = 0 on ∂Ω where Ω ⊂ RN is a smooth bounded domain, −∆pdenotes the p-Laplacian operator, 1 < q < p < N, α,β > 1, p<α+β
0, and λ,µ>0.
2020 Mathematics Subject Classification: 35J47, 35J50, 35J92.
The Aluminum Standard: Using Generative Artificial Intelligence Tools to Synthesize and Annotate Non-Structured Patient Data
Authors: Ochoa Juan G. Diaz , Mustafa Faizan E , Weil Felix , Wang Yi , Dima Corina , Kama Kudret , Knott Markus 
Published: November 2023

Abstract
Background
Medical narratives are fundamental to the correct identification of a patient's health condition. This is not only because it describes the patient’s situation. It also contains relevant information about the patient’s context and health state evolution. Narratives are usually vague and cannot be categorized easily. On the other hand, once the patient’s situation is correctly identified based on a narrative, it is then possible to map the patient’s situation into precise classification schemas and ontologies that are machine-readable. To this end, language models can be trained to read and extract elements from these narratives. However, the main problem is the lack of data for model identification and model training in languages other than English. Alternative available data, like MIMIC (Johnson et al. 2016) is written in English and for specific patient conditions like intensive care. Thus, when model training is required for other types of patients, like oncology (and not intensive care), this could lead to bias. To facilitate clinical narrative models training, a method for creating high-quality synthetic narratives is needed.
Method
We devised workflows based on generative AI methods to synthesize narratives in the German Language. Since we required highly realistic narratives, we generated prompts, written with high-quality medical terminology, asking for clinical narratives containing both a main and co-disease. The frequency of distribution of both the main and co-disease was extracted from the hospital’s structured data, such that the synthetic narratives reflect the disease distribution among the patient’s cohort. In order to validate the quality of the synthetic narratives, we annotated them to train a Named Entity Recognition (NER) algorithm. According to our assumptions, the validation of this system implies that the synthesized data used for its training are of acceptable quality.
Result
We report precision, recall and F1 score for the NER model while also considering metrics that take into account both exact and partial entity matches. We obtained a precision of 0.851 for Entity Type match metric, with a F1 score of 0.188.
Conclusion
Despite its inherent limitations, this technology can accelerate model identification and training. By using this approach, data can be interoperable across languages and regions without compromising data safety.
Synthesis and Characterization of an Ag:Er Alloy for Metallic MagneticCalorimeters
Authors: Song Jiwan , Cho Yongchan , Kim Hongjoo , Lee Minkyu 
Published: November 2023

Abstract

Ag:Er alloy having paramagnetic properties were synthesized for temperature sensors of metallicmagnetic calorimeters. The Ag:Er master alloy and the 2-inch target for film deposition were manufacturedusing vacuum arc melting and RF heating methods, respectively, under process conditions designed to min-imize impurity contamination. Calculations and measurements of magnetization versus magnetic field wereemployed to check magnetic impurities in host material, Ag, and to estimate the Er concentration in Ag:Eralloys at each steps of synthesis. The temperature-dependent magnetization of the thin films deposited fromsynthesized Ag:Er with 168Er isotope was measured in mK range, demonstrating their suitability as tempera-ture sensor for low-temperature detectors such as MMCs
Antenna Coupled Magnetic Microbolometers for CMB Polarization Surveys
Authors: Geria Juan , Almela Alejandro , Bonaparte Juan , Bonilla-Neira Jesús , Ferreyro Luciano , Fuster Alan , Redondo Manuel García , Hampel Matías , Müller Nahuel , Platino Manuel , Salum Juan , Kempf Sebastian , Weber Marc , Etchegoyen Alberto 
Published: November 2023

Abstract

In this work, we propose an alternative type of magnetic bolometer to be employed in the search of primordial B-modes in the CMB. These magnetic bolometers are an adaption of the well-known Metallic Magnetic Calorimeters used in particle physics. They rely on the magnetization dependence on temperature of alloys such as Au:Er and Ag:Er. In addition to the low intrinsic noise a magnetic bolometer of this nature offers, the broad and smooth magnetization dependence with temperature of metallic magnetic sensors ultimately translates to a high dynamic range and straightforward calibration.The results show how antenna-coupled Metallic Magnetic Bolometers are a promising detector architecture for polarization measurements of millimeter- and sub-millimeter-wave radiation. Their intrinsic noise equivalent power is estimated to be in the range of 10 to 100 aW / Hz1/2, which means background limited detection is possible.
Association of CEP72 rs924607 Genetic Variant with Vincristine-Induced Peripheral Neuropathy in Children with Acute Lymphoblastic Leukemia
Authors: LI Chuang , Jiao JIN , HUANG Jing , YANG Xiao-Yan , LI Yan , YAN Yong-Yan , Can YANG 
Published: November 2023

Abstract
Objective
To investigate the association between the CEP72 rs924607 genetic variant and vincristine-induced peripheral neuropathy (VIPN) in children with acute lymphoblastic leukemia (ALL).
Methods
Children between the ages of 1 and 18 with ALL were treated with Chinese Children's Cancer Group (CCCG)-ALL2015 or CCCG-ALL2020 from January 2018 to December 2022 at the Hospital of Guizhou Medical University, and VIPN was assessed and recorded using the criteria outlined in the US National Cancer Institute’s Common Terminology Criteria for Adverse Events (CTCAE), 5th edition. Chi-square or Fisher’s tests were used for comparison between groups, and P < 0.05 was considered statistically significant.
Results
1) A total of 74 children were included in this study, among whom the C allele frequency was 68.9% and the T allele frequency was 68.9%. 2) In total, 43 patients had at least one episode of grade 2–4 VIPN (58.1%). Among those with the high-risk CEP72 genotype (TT at rs924607), 10 of 11 patients (90.9%) developed VIPN, and 33 of 63 patients had the CEP72 CT + CC genotype (52.4%). The incidence of VIPN in the TT genotypes was higher than the CC + CT genotypes, and there were statistically significant differences in the incidence of VIPN between the TT groups and CT + CC (P < 0.05) groups. 3) Among 43 patients with VIPN, 17 (39.5%) were grade 3 and above, 26 (60.5%) were grade 2, 9 of 18 patients (50%) with the CC genotype had severe VIPN (grade 3 and above), 4 of 15 patients (26.7%) had the CT genotype, and 4 of 10 patients (40%) had the TT genotype. There were no significant differences in the severity of VIPN (P > 0.05). 4) Relationship between the polymorphism of the CEP72rs924607 gene and the type of VIPN: Among all 83 cases of VIPN, 35 cases of autonomic nervous symptoms (42.2%), 40 cases of peripheral nerve injury (48.2%), and 8 cases of cranial nerve injury (9.6%) were reported. There were no significant differences among the three genotypes in VIPN occurrence (P > 0.05). 5) The treatment methods for VIPN focused on observation, use of neurotrophic drugs, analgesics, enemas, and other treatments. Clinical symptoms disappeared 2.6 ± 1.9 days after these treatments, and no case of death or residual peripheral neuropathic injury was reported.
Conclusions
The CEP72 CC genotype accounted for the highest proportion of children with ALL, followed by CT and then TT. There was a high incidence of VIPN in the T allele. Furthermore, peripheral nerve injury had the highest incidence. The prognosis of VIPN was generally good.
Trees increase the frequency of cool-season grasses in silvopastoral systems on temperate native grasslands of Uruguay
Authors: Pizarro Dante M. , Zarza Rodrigo , Boggiano Pablo , Cadenazzi Monica , Picasso Valentin D 
Published: November 2023

Abstract

Silvopastoral systems may provide important production and environmental benefits. The loss of cool-season (C3) grasses from temperate grazed native grasslands is associated with selective grazing and excessive solar radiation that limits their survival. Silvopastoral systems integrate trees with grasslands that provide shade to both cattle and herbaceous plants, potentially favoring C3 species. There is limited information on the effect of trees on the species and functional composition of native grasslands in the Campos biome in South America. The objective of this study was to detect gradients in the botanical composition of grasslands associated with trees under three conditions: Prosopis on Solonetz, Acacia on Brunisols, and Eucalyptus on Brunisols. Frequency and soil cover of the herbaceous species under trees in each situation was systematically recorded in transects on the four cardinal directions. In all situations, there were differences in pasture composition in the different shade regions. Under the canopy, the herbaceous layer was enriched with cool-season grasses such as Bromus catharticus Vahl, Lolium multiflorum Lam., Stipa hyalina (Nees) Barkworth, and S. setigera J.Presl. At greater distances from trees, cover of warm-season (C4) grasses increased, such as Axonopus affinis Chase and Paspalum notatum Flüggé. The gradients detected allow us to conclude that trees in silvopastoral systems can increase the abundance of cool-season species and potentially improve the forage nutritive value of the native pasture.
How do you teach the Ukraine war in economics?
Authors: Niisato Yasutaka 
Published: November 2023

Abstract
The Ukraine war is currently the most important economic issue, which attracted students’ interest. How do you teach the Ukraine war in economics? This study is a teaching report of my economics lecture at the National Institute of Technology Toyama College in 2022. Some topics on the theme “the Ukraine war and the Japanese economy” were taken for exercise and assignment. In the spring term, for example, some topics include economic comparisons among Ukraine, Russia, and Japan (population, gross domestic product, industrial structure, growth rate, inflation rate, etc.), price decrease and increase, price ceiling for Russian oil, and “The Economic Consequences of the Peace” by J. M. Keynes. Moreover, in the autumn term, the topics are 12 economic shocks of the Ukraine war, the macroeconomic effect of export and import regulation on the Japanese economy, and the macroeconomic effects of an increase in oil price and yen depreciation. My students tried these exercises and were given homework about these topics.
Crosstalk effects in microwave SQUID multiplexed TES bolometer readout
Authors: Groh John C. , Ahmed Zeeshan , Henderson Shawn W. , Hubmayr Johannes , Mates John A. B. , Silva-Feaver Maximiliano , Ullom Joel , Yu Cyndia 
Published: November 2023

Abstract

Transition-edge sensor (TES) bolometers are broadly used for background-limited astrophysical measurements from the far-infrared to mm-waves. Many planned future instruments require increasingly large detector arrays, but their scalability is limited by their cryogenic readout electronics. Microwave SQUID multiplexing offers a highly capable scaling solution through the use of inherently broadband circuitry, enabling readout of hundreds to thousands of channels per microwave line. As with any multiplexing technique, the channelization mechanism gives rise to electrical crosstalk which must be understood and controlled so as to not degrade the instrument sensitivity. Here, we explore implications relevant for TES bolometer array applications, focusing in particular on upcoming mm-wave observatories such as the Simons Observatory and AliCPT. We model the relative contributions of the various underlying crosstalk mechanisms, evaluate the difference between fixed-tone and tone-tracking readout systems, and discuss ways in which crosstalk nonlinearity will complicate on-sky measurements.
On the Performance of T2-Based PCA Mix Control Chart with KDE Control Limit for Monitoring Variable and Attribute Characteristics
Authors: Ahsan Muhammad , Mashuri Muhammad , Prastyo Dedy Dwi , Lee Muhammad Hisyam 
Published: November 2023

Abstract
In this work, the mixed multivariate T2 control chart's detailed performance evaluation based on PCA Mix is presented. The control limit of the proposed control chart is calculated using the kernel density approach. Through simulation studies, the proposed chart's performance is assessed in terms of its capacity to identify outliers and process shifts. When 30% more outliers are included in the data, the proposed chart provides a consistent accuracy rate for identifying mixed outliers. For the balanced percentage of attribute qualities, misdetection happens because of the high false alarm rate. For unbalanced attribute qualities and excessive proportions, the masking effect is the key issue. The proposed chart shows the improved performance for the shift in identifying the shift in the process.
Manifold Area Prior for Blind Image Deblurring: A Continue Space Method
Authors: Peng Junge , Luo Bing , Cheng Zhongzhe , Zhang Chao , Li Bo 
Published: November 2023

Abstract
Ringing artifacts is a critical problem in image deblurring. Existing methods based on image sparsity cannot efficiently recognize the plausive edge and result in significant ringing artifacts. Those methods mostly consider the statistic prior for blur and clear images but ignore continuity of natural image in feature space. While, image intrinsic continuity could complement the sparsity information for image statistic prior. Intuitively, ringing effects should form the shake in feature space and break the piece-wise smoothness of natural image. To this end, we propose a minimizing manifold area prior (MAP) method to reduce the ringing artifacts. We first embed a two-dimension manifold into the image high-dimension feature space. Then the feature difference between blur and clear images could be described by manifold area, which could be represented via local Euclide-space. This is beneficial to proposing a fast and effective algorithm to calculate manifold area, which significantly improve the computational complexity. Experiments validate that our method is superior than state-of-the-arts in performance and time consuming, especially for ringing artifacts.
Anaplasma and Ehrlichia species prevalent in ticks and livestock in Hubei Province, China
Authors: Tang Ju , Xu Jiao , Liu Xiaohui , Lv Fangzhi , Yao Qiuju , Zhou Xiao-Fan , Lu Huiya , Yu Tianmei , Jiang Zezheng , Jin Xiaozhou , Guo Fang , Yu Xue-jie 
Published: November 2023

Abstract
Background: Anaplasmaand Ehrlichia are tick-borne bacterial pathogens that cause anaplasmoses and ehrlicoses in humans and animals.
Methods: In this study, we examined the prevalence of Anaplasmaand Ehrlichia species in ticks and livestock in Suizhou County, Hubei Province in the central China.
Results: We collected 1,900 ticks, including 1,981 Haemaphysalis longicornis and 9 Rhipicephalus microplus, 159 blood samples of goats, cattle (n=4), and dogs (n=3) from May to September of 2023. PCR amplification and DNA sequencing of the 16S rRNA, groEL, and gltA genes of the PCR products demonstrated that A. bovis, A. capra, and an uncultured Ehrlichia species were detected in the ticks with the minimum infection rates of 0.52%, 1.16%, and 0.05%, respectively; A. bovis, A. capra, and a novel Anaplasma species were detected in the goats with the minimum infection rate of 25.65%, 0.66% and 1.97%, respectively. Anaplasma and Ehrlichia species were not detected from cattle and dogs.
Conclusions: This study shows that ticks and goats in Hubei Province carry multiple Anaplasma species and an Ehrlichia species, with extremely high infection rate of A. bovis in goats. Our study indicates that multiple Anaplasma and Ehrlichia species exist in ticks and goats in the central China with potential to cause human infection.