bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiomics model based on multi-sequence MRI for preoperative prediction of ki-67 expression levels in early endometrial cancer
Authors: Ding Si-Xuan , Sun Yu-Feng , Meng Huan , Wang Jia-Ning , Xue Lin-Yan , Gao Bu-Lang , Yin Xiao-Ping 
Published: December 2023

AbstractTo validate a radiomics model based on multi-sequence magnetic resonance imaging (MRI) in predicting the ki-67 expression levels in early-stage endometrial cancer, 131 patients with early endometrial cancer who had undergone pathological examination and preoperative MRI scan were retrospectively enrolled and divided into two groups based on the ki-67 expression levels. The radiomics features were extracted from the T2 weighted imaging (T2WI), dynamic contrast enhanced T1 weighted imaging (DCE-T1WI), and apparent diffusion coefficient (ADC) map and screened using the Pearson correlation coefficients (PCC). A multi-layer perceptual machine and fivefold cross-validation were used to construct the radiomics model. The receiver operating characteristic (ROC) curves analysis, calibration curves, and decision curve analysis (DCA) were used to assess the models. The combined multi-sequence radiomics model of T2WI, DCE-T1WI, and ADC map showed better discriminatory powers than those using only one sequence. The combined radiomics models with multi-sequence fusions achieved the highest area under the ROC curve (AUC). The AUC value of the validation set was 0.852, with an accuracy of 0.827, sensitivity of 0.844, specificity of 0.773, and precision of 0.799. In conclusion, the combined multi-sequence MRI based radiomics model enables preoperative noninvasive prediction of the ki-67 expression levels in early endometrial cancer. This provides an objective imaging basis for clinical diagnosis and treatment.
Integration of mRNA and miRNA analysis reveals the molecular mechanisms of sugar beet (Beta vulgaris L.) response to salt stress
Authors: Zhang Ziqiang , Wang Liang , Chen Wenjin , Fu Zengjuan , Zhao Shangmin , E Yuanyuan , Zhang Hui , Zhang Bizhou , Sun Mengyuan , Han Pingan , Chang Yue , Tang Kuangang , Gao Yanyan , Zhang Huizhong , Li Xiaodong , Zheng Wenzhe 
Published: December 2023

AbstractThe continuous increase of saline-alkali areas worldwide has led to the emergence of saline-alkali conditions, which are the primary abiotic stress or hindering the growth of plants. Beet is among the main sources of sugar, and its yield and sugar content are notably affected by saline-alkali stress. Despite sugar beet being known as a salt-tolerant crop, there are few studies on the mechanisms underlying its salt tolerance, and previous studies have mainly delineated the crop’s response to stress induced by NaCl. Recently, advancements in miRNA-mRNA network analysis have led to an increased understanding of how plants, including sugar beet, respond to stress. In this study, seedlings of beet variety "N98122" were grown in the laboratory using hydroponics culture and were exposed to salt stress at 40 days of growth. According to the phenotypic adaptation of the seedlings' leaves from a state of turgidity to wilting and then back to turgidity before and after exposure, 18 different time points were selected to collect samples for analysis. Subsequently, based on the data of real-time quantitative PCR (qRT-PCR) of salt-responsive genes, the samples collected at the 0, 2.5, 7.5, and 16 h time points were subjected to further analysis with experimental materials. Next, mRNA-seq data led to the identification of 8455 differentially expressed mRNAs (DEMs) under exposure to salt stress. In addition, miRNA-seq based investigation retrieved 3558 miRNAs under exposure to salt stress, encompassing 887 known miRNAs belonging to 783 families and 2,671 novel miRNAs. With the integrated analysis of miRNA-mRNA network, 57 miRNA-target gene pairs were obtained, consisting of 55 DEMIs and 57 DEMs. Afterwards, we determined the pivotal involvement of aldh2b7, thic, and δ-oat genes in the response of sugar beet to the effect of salt stress. Subsequently, we identified the miRNAs novel-m035-5p and novel-m0365-5p regulating the aldh gene and miRNA novel-m0979-3p regulating the thic gene. The findings of miRNA and mRNA expression were validated by qRT-PCR.
Mikrobiom und ballaststoffreiche Kost
Authors: Voiß Petra , Rolker Susanne , Hugen Kristina 
Published: December 2023

SummaryDer Gastrointestinaltrakt wird von einer Vielzahl von Mikroorganismen, insbesondere Bakterien besiedelt. Sie erfüllen verschiedene Funktionen, die für die Verdauung, aber auch für die Gesundheit eine wichtige Rolle spielen. Eine hohe Diversität der Bakterien wird mit mehr Gesundheit in Zusammenhang gebracht. Durch eine ballaststoffreiche pflanzenbasierte Kost, wie sie das American Institute for Cancer Research empfiehlt, kann die Vielfalt der Bakterien erhöht werden und das Darmmilieu sowie die Barrierefunktion des Kolons günstig beeinflusst werden. Nicht nur während Therapie mit Checkpoint-Inhibitoren sondern auch nach einer Kolon- oder Mammakarzinom-Erkrankung scheint sich eine Ballaststoffzufuhr von mindestens 20 g pro Tag positiv auf das Überleben auszuwirken. Insbesondere in der Onkologie spielt die Verträglichkeit der Nahrung eine wichtige Rolle. Kontraindikationen bzgl. einer ballaststoffreichen Kost sind zu beachten und eine Erhöhung der Ballaststoffzufuhr sollte schrittweise erfolgen.
Schlafstörungen bei Krebs behandeln
Authors: Löffler Claudia 
Published: December 2023

SummaryBei vielen Krebspatient*innen kommen Schlafstörungen infolge der Erkrankung oder Therapie vor. Insbesondere Störungen der Einleitung und Aufrechterhaltung des Schlafes sowie Beeinträchtigungen des zirkadianen Schlafrhythmus treten bei ihnen häufig auf. Ausreichender Schlaf spielt eine wichtige Rolle für die Genesung und das Mortalitätsrisiko. Andererseits scheint Schlaf auch präventiv von Bedeutung zu sein. Hinweise deuten auf eine Störung des zirkadianen Rhythmus als eigenständigen Krebsrisikofaktor hin. Ärzt*innen sollten standardmäßig während der Krebstherapie herausfinden, ob die Patient*innen unter Schlafstörungen leiden. Eine Reihe an Maßnahmen, von Schlafhygiene bis hin zu verhaltenstherapeutischen Ansätzen sowie Medikamenten, kann Schlafstörungen lindern. Viele, auch komplemen­tärmedizinische Behandlungsmethoden werden explizit bei Schlafstörungen im Rahmen oder nach einer Krebserkrankung empfohlen.
Cannabinoide Arzneimittel bei Krebspatient*innen
Authors: Herdegen Thomas 
Published: December 2023

SummaryMedikamente, die die therapeutisch relevanten Inhaltsstoffe des Cannabis, Tetrahydrocannabinol (THC) und Canabidiol (CBD), enthalten, kommen bei Krebspatient*innen zum Einsatz, um zum Beispiel Krankheitssymptome wie Schmerzen oder Nebenwirkungen der Therapien zu lindern sowie die Lebensqualität zu verbessern. Die Studienlage rechtfertigt die Anwendung von cannabinoiden Arzneimitteln als Add-on-Therapie bei einem Total-Pain-Syndrom sowie Übelkeit, Appetitlosigkeit, Schlaflosigkeit, erhöhtem Muskeltonus, Stress, depressiven Verstimmungen, Ängstlichkeit und fehlender Distanzierung zum Krankheitsgeschehen. Erste Hinweise deuten zudem auf eine mögliche Anti-Tumor-Wirkung dieser Arzneimittel hin.
Artemisia annua und Artesunate in der Onkologie
Authors: Efferth Thomas 
Published: December 2023

SummaryArtesunate ist ein klinisch etabliertes Medikament zur Malariabehandlung. Präklinische Daten weisen darauf hin, dass Artesunate und Artemisinin, die Leitsubstanz aus der chinesischen Heilpflanze Artemisia annua L., auch gegen Krebs eingesetzt werden könnten.Im Allgemeinen wurden Artemisinin und Artesunate nach den bisher vorliegenden klinischen Befunden gut vertragen, wobei vereinzelt immer wieder auch signifikante Nebenwirkungen wie Hämatotoxizität, Hepatotoxizität oder Neurotoxizität auftraten. Auf das Vorkommen schwerer Nebenwirkungen muss auch weiterhin besonderes Augenmerk gelegt werden, insbesondere wenn Artesunate zusammen mit anderen Medikamenten verabreicht wird.Die veterinärmedizinischen Studien zeigen, dass spontane Tiertumoren nicht nur ein interessantes Modell für in der Translation präklinischer Daten in die Klinik sind, sondern dass Artesunate- und Artemisia-annua-Präparate eine neue Behandlungsoption für Haustiere mit Tumorerkrankungen darstellen könnten.Die Wirksamkeit von Artesunate gegen verschiedene solide humane Tumoren ist bisher als eher mäßig einzustufen, wobei das Zervixkarzinom möglicherweise besser anzusprechen scheint. Insgesamt liegen noch zu wenige Daten vor, um die klinischen Ansprechraten bei verschiedenen Tumortypen zuverlässig beantworten zu können. Weitere größere klinische Phase-II- und -III-Studien sind nötig.
Ergänzende Maßnahmen in der Strahlentherapie: Nebenwirkungen und Spätfolgen vorbeugen und behandeln
Authors: Steinmann Diana , Savaş Burcu Babadağ , Märtens Bettina , Meyer Heike 
Published: December 2023

SummaryDie Strahlentherapie ist eine wichtige Behandlungssäule in der Krebstherapie, jedoch auch mit Nebenwirkungen und Spätfolgen verbunden. Ergänzende Maßnahmen können diese effektiv vorbeugen und lindern. Dabei werden verschiedene pflanzliche Präparate, Vitamine, Spurenelemente oder weitere Nahrungsergänzungsmittel zur Behandlung der radiogenen Dermatitis (Aloe vera, Calendula), Mukositis (Honig, Sanddornfruchtfleischöl), Proktitis (Vitamin D, Probiotika, Selen) oder des Hirnödems (Boswelliaserrata) eingesetzt. Maßnahmen wie Sport und regelmäßige Entspannungsübungen können die allgemeine Leistungsfähigkeit und Befindlichkeit verbessern. Des Weiteren sind mögliche Wechselwirkungen zwischen komplementären Verfahren und der Strahlentherapie zu berücksichtigen.
Bewegungstherapeutische Prähabilitation in der Onkologie
Authors: Wiskemann Joachim , Köppel Maximilian 
Published: December 2023

SummaryZusammengesetzt aus dem Präfix „Prä“ und dem Wort „Rehabilitation“ beschreibt der Begriff Prähabilitation Maßnahmen, die vor einem chirurgischen Eingriff oder einer anderen intensiven Therapie stattfinden. Ziel dieser Maßnahmen ist es, die Patient*innen fit für die Operation zu machen, damit sie sich im Anschluss schneller, besser und komplikationsloser erholen. Durch Bewegungstherapie lassen sich die Herz-Kreislauf-Fitness und Kraft verbessern und die Muskelmasse vermehren. Eine im Rahmen von prähabilitorischer Bewegungstherapie verbesserte körperliche Fitness senkt die Wahrscheinlichkeit von Komplikationen und verkürzt möglicherweise auch die Dauer der Rehabilitation.
Financing preferences and practices for developing sustainable exhibitions in Chinese companies
Authors: Qian Fangbin , Pu Yuanjie , Shang Yunfeng 
Published: December 2023

AbstractThis study endeavors to investigate the influence of environmentally conscious financial inclinations on the sustainable investment practices of 137 Chinese companies operating within the exhibition industry from 2015 to 2021. Employing the CS-ARDL (cross-sectionally augmented autoregressive distributed lag) method, the findings indicate that a 1% upswing in the green financing preference index leads to short-term and long-term increases of 0.55% and 0.63%, respectively, in the green investments of Chinese exhibition industry companies. The workforce size has a positive impact on green investments, while a 1% increase in profitability correlates with enhanced green investments among Chinese companies. Furthermore, total income emerges as a factor that encourages green investments within China’s exhibition industry. Notably, the preference for financing through green bonds exerts a more substantial influence on green investments than other preferences of exhibition industry companies. The paper also proposes crucial practical policies, including the adoption of modern digital technologies like big data, the creation of green job opportunities, and the promotion of green initiatives among small and medium-sized enterprises in the exhibition industry through the implementation of environmentally efficient fiscal policies.
Soft radio frequency microstrip bandpass filter: Precise design and demonstration
Authors: He Wei , Zhao Jun , Chen Xiaochen , Yang Hong , Sang Lei , Li Zhuo , Wang Siqi , Huang Wen 
Published: December 2023

A soft and tunable microwave bandpass Chebyshev microstrip end-coupled filter is demonstrated on a polydimethylsiloxane substrate based on high electrically conductive composites made of silver nanoparticle-covered flakes, even with large strain. To achieve a precise design, key microwave parameters such as the impedance, S-parameters, and transmission matrix are defined as a function of strain. This strain vector polar coordinate is used to represent the relationship between the type and the performance of a filter. Then, the most important Chebyshev or quasi-Chebyshev type of filter can be accurately realized by looking up its polar coordinates to find the corresponding strain magnitude and direction of stretching. An end-coupled Chebyshev microstrip bandpass filter with a center frequency of 12.8 GHz and bandwidth of 22% was designed and fabricated for demonstration. Experimentally, at a lateral elongation of 8% and 10.7%, the center frequency decreases by 0.61 and 0.88 dB, respectively, matching the simulation results very well. One potential application for this tunable filter is a front-end module mounted on the biomimetic robot driven by its mechanic movements.
Translation as de- and reconstructing synsemiotic relationships
Authors: Agnetta Marco 
Published: December 2023

Abstract
In order to describe the nature of opera as a polysemiotic artifact and to address the challenges around its
transfer, reference is often made to the concept of “context,” which, however, is usually used rather casually and intuitively and
is rarely defined precisely. Building on the theory of synsemioticity, a somewhat tighter analytical grid will be presented that
allows the extension of context to become clearer. This is achieved in two ways: first, the status of nonverbal in the
polysemiotic artifact is addressed, which, referring to Catford, must be defined as co-text rather than as context. Second, it
will be shown on which semiotic levels contextuality can be described. The examples given here are taken from the opera
Orfeo ed Euridice (1762) by Christoph Willibald Gluck and from some of the translations in German and French
based on this work.
Influence of tachyonic instability on the Schwinger effect in Higgs inflation model
Authors: Kamarpour Mehran 
Published: December 2023

Abstract
We investigate the influence of the tachyonic instability on the Schwinger effect in Higgs inflation model. In this work we identify the standard horizon scale

k

H

=
a
H

and the tachyonic instability

k

H

=
a
H

|

ζ

|

,
ζ
=

I

′

ϕ

ϕ
˙

H

. This is the horizon scale in which the given Fourier begins to become tachyonically unstable. Influence of this scale appears by vanishing electromagnetic field energy density and energy density of created charged particles due to the Schwinger effect at the very beginning of inflation but does not alter conclusions of our previous work in Kamarpour (2022 Gen. Relativ. Gravit.
54 32; 2023 Int. J. Mod. Phys.D 32 2350025). We use two coupling functions to break conformal invariance of Maxwell action. The simplest coupling function

I

ϕ

=

χ

1

ϕ

M

p

and a curvature based coupling function

I

ϕ

=
12

χ

1

e

2
3

ϕ

M

p

1

3

M

p

2

4
V

ϕ

+

2

3

M

p

d

V

d

ϕ

where

V

ϕ

is the potential of Higgs inflation in Kamarpour (2022 Gen. Relativ. Gravit.
54 32; 2023 Int. J. Mod. Phys.D 32 2350025). In fact, we find that only at the very beginning of inflation both energy densities of electromagnetic field and created charged particles vanish due to effect of tachyoinc instability.
Stochastic linear regularization methods: random discrepancy principle and applications
Authors: Zhang Ye , Chen Chuchu 
Published: December 2023

Abstract
The a posteriori stopping rule plays a significant role in the design of efficient stochastic algorithms for various tasks in computational mathematics, such as inverse problems, optimization, and machine learning. Through the lens of classical regularization theory, this paper describes a novel analysis of Morozov’s discrepancy principle for the stochastic generalized Landweber iteration and its continuous analog of generalized stochastic asymptotical regularization. Unlike existing results relating to convergence in probability, we prove the strong convergence of the regularization error using tools from stochastic analysis, namely the theory of martingales. Numerical experiments are conducted to verify the convergence of the discrepancy principle and demonstrate two new capabilities of stochastic generalized Landweber iteration, which should also be valid for other stochastic/statistical approaches: improved accuracy by selecting the optimal path and the identification of multi-solutions by clustering samples of obtained approximate solutions.
Numerical recovery of a time-dependent potential in subdiffusion
*
Authors: Jin Bangti , Shin Kwancheol , Zhou Zhi 
Published: December 2023

Abstract
In this work we investigate an inverse problem of recovering a time-dependent potential in a semilinear subdiffusion model from an integral measurement of the solution over the domain. The model involves the Djrbashian–Caputo fractional derivative in time. Theoretically, we prove a novel conditional Lipschitz stability result, and numerically, we develop an easy-to-implement fixed point iteration for recovering the unknown coefficient. In addition, we establish rigorous error bounds on the discrete approximation. These results are obtained by crucially using smoothing properties of the solution operators and suitable choice of a weighted

L
p

(
0
,
T
)

norm. The efficiency and accuracy of the scheme are showcased on several numerical experiments in one- and two-dimensions.
Context-aware and local-aware fusion with transformer for medical image segmentation
Authors: Xiao Hanguang , Li Li , Liu Qiyuan , Zhang Qihang , Liu Junqi , Liu Zhi 
Published: December 2023

Abstract

Objective. Convolutional neural networks (CNNs) have made significant progress in medical image segmentation tasks. However, for complex segmentation tasks, CNNs lack the ability to establish long-distance relationships, resulting in poor segmentation performance. The characteristics of intra-class diversity and inter-class similarity in images increase the difficulty of segmentation. Additionally, some focus areas exhibit a scattered distribution, making segmentation even more challenging. Approach. Therefore, this work proposed a new Transformer model, FTransConv, to address the issues of inter-class similarity, intra-class diversity, and scattered distribution in medical image segmentation tasks. To achieve this, three Transformer-CNN modules were designed to extract global and local information, and a full-scale squeeze-excitation module was proposed in the decoder using the idea of full-scale connections. Main results. Without any pre-training, this work verified the effectiveness of FTransConv on three public COVID-19 CT datasets and MoNuSeg. Experiments have shown that FTransConv, which has only 26.98M parameters, outperformed other state-of-the-art models, such as Swin-Unet, TransAttUnet, UCTransNet, LeViT-UNet, TransUNet, UTNet, and SAUNet++. This model achieved the best segmentation performance with a DSC of 83.22% in COVID-19 datasets and 79.47% in MoNuSeg. Significance. This work demonstrated that our method provides a promising solution for regions with high inter-class similarity, intra-class diversity and scatter distribution in image segmentation.
An ultra-high-frequency memristor circuit model
Authors: Wang Yanji , Wang Yu , Liu Yi , Zhang Yanzhong , Yan Yu , Hu Youde , Wang Xinpeng , Zhang Hao , Xu Rongqing , Tong Yi 
Published: December 2023

Abstract
In the context of sixth-generation (6G) wireless communications technology, advanced radio-frequency switches are required to accommodate high-frequency terahertz range and complex modulation techniques. This paper proposes a flexible charge-controlled memristor model specifically designed for ultra-high-frequency applications. It describes in detail the derivation of the behavior model of the proposed memristor circuit. The memristor circuit model is built around four inverters, two multipliers, one integrator, one adder, and one differentiator. Through PSPICE simulation, the typical hysteresis loop of the memristor is thoroughly analyzed, demonstrating its suitability for use in wireless communication systems. The model exhibits a good typical hysteresis loop that operates over a wide frequency range from 100 kHz to 20 THz, meeting the specific requirements of terahertz applications. Compared to existing memristor designs, it operates at a much higher frequency. However, the zero crossing of the typical hysteresis loop deviates when the operating frequency exceeds 20 THz. Furthermore, the proposed memristor model can be customized in terms of set/reset voltage, operating frequency and

R

off

/

R

on

, and has been verified for use in high speed switches with switching speeds of 19.5 ps. Furthermore, this research fills the gap in ultra-high-frequency memristor modeling, offering valuable insights and guidance for the utilization of memristors in the 6G technology and ultra-high frequency fields.
Research on the monitoring friction hysteresis for the bolted interface by electromechanical impedance
Authors: Sun Kepeng , Sun Qingchao , Zhang Yingzhong , Wang Yingquan , Zhao Yingjie 
Published: December 2023

Abstract
Friction hysteresis manifests at the bolted interface when subjected to external excitation, leading to nonlinear structural responses. But the interface evolution is rarely considered in the health monitoring. In this paper, we introduce the pioneering concept of effective mechanical impedance of the contact interface (EMICI) and formulate a coupled structural impedance model that comprehensively incorporates both tangential loading and contact impedance considerations. EMICI was deemed to encapsulate intricate information pertaining to contact nonlinearity, and the theoretical equation was derived using principles of contact mechanics. Tangential loading experiments, time domain impedance analysis and impact hammer tests were conducted to confirm the close relationship between EMICI and the structural properties. The coupled structural impedance model is proved to be effective, in which EMICI can be identified by changing the tangential force and torque. Subsequent analysis revealed that the proposed model could additionally serve in the identification of system-related parameters. The loading coefficient in the model is linearly related to the tangential force, and the calculated EMICI corresponds to the slip characteristics of the bolted interface. The introduced concept of EMICI could be considered as a metric for assessing interface properties, offering dependable insights into contact evolution, and facilitating a deeper understanding of interface dynamics.