bluuebunny/crossref_metadata_2025_split huggingface dataset:
IT-Angriffe an Kliniken
Authors: Pfenninger Ernst , Königsdorfer Manuel 
Published: December 2024

ZusammenfassungKliniken gehören per definitionem zur kritischen Infrastruktur eines Landes. Vermehrt sind in den vergangenen Jahren Krankenhäuser Ziel von Hackerangriffen mit der Folge einer wochen- bis sogar monatelangen Beeinträchtigung ihrer Handlungsfähigkeit geworden. Gemäß der „Nationalen Strategie zum Schutz Kritischer Infrastrukturen (KRITIS-Strategie)“ sind Kliniken gesetzlich verpflichtet, dagegen Vorsorge zu treffen. Dazu sollten IT-abhängige Prozesse in einer Klinik evaluiert, definiert und Ausfallkonzepte erarbeitet werden, um auf einen Cyberangriff vorbereitet zu sein. Spezifisch auf einen EDV-Ausfall zugeschnittene Notfallpläne sollten in allen IT-abhängigen Bereichen einer Klinik erstellt und vorgehalten werden. Zudem sollten papierbasierte Ersatzlösungen, wie z. B. Anforderungsbelege für Diagnostik- oder Konsilleistungen, abteilungsspezifische Notfalldokumente und Patientendokumentationskurven an einem gut zugänglichen und den Mitarbeitenden des jeweiligen Bereichs
bekannten Ort vorgehalten werden. Die vollständige Wiederherstellung eines Kliniknetzwerks nach einem Cyberangriff erfordert häufig eine umfassende Wiederherstellung zahlreicher IT-Systeme. Dies kann u. U. Wochen bis Monate dauern. Wenn das Krankenhaus über solide Pläne zur Cyber-Notfallvorsorge verfügt, die regelmäßige Scans und Backups in Echtzeit umfassen, können eine Stabilisierung und ein schnelleres Wiederanlaufen des Betriebs möglich sein.
Digitale Achtsamkeit und Künstliche Intelligenz: Chancen und Herausforderungen in der modernen Mind-Body-Medizin
Authors: Esch Tobias , Michaelsen Maren M. 
Published: December 2024

SummaryDigitale Mind-Body-Interventionen wie Achtsamkeitsprogramme können Symptome psychischer Belastungen wie Stress, Angst und Depression reduzieren. Studien zeigen ihre Wirksamkeit in verschiedenen Zielgruppen: von Krebspatient*innen bis hin zu Beschäftigten im Gesundheitswesen. Da die Programme flexibel und alltagsnah eingesetzt werden können, um Stress zu reduzieren und die persönliche Achtsamkeit zu fördern, sind sie insbesondere für Menschen mit begrenzten Zeitressourcen oder körperlichen Einschränkungen wertvoll. Künstliche Intelligenz und maschinelles Lernen leisten dabei einen Beitrag, die Angebote noch besser auf die individuellen Bedürfnisse der Nutzenden zuzuschneiden.
Klangschalentherapie in der Schmerzmedizin
Authors: Michaelis Johannes , Preiß Stefanie 
Published: December 2024

SummaryDie Klangschalentherapie wird als Entspannungsverfahren sowohl präventiv als auch kurativ bei verschiedenen Erkrankungen eingesetzt. In der Behandlung von Schmerzpatientinnen und Schmerzpatienten kann sie insbesondere denjenigen helfen, bei denen andere Entspannungsverfahren bisher erfolglos geblieben sind. Studien geben erste Hinweise auf die positiven Effekte der Klangschalentherapie auf den Schmerzlevel, aber auch auf die Herzfrequenz sowie auf die psychische Verfassung.
Ein zweifellos unterschätztes Gemüse: die Gemeine Wegwarte
Authors: Gaunitz Franziska 
Published: December 2024

SummaryHeilpflanze, Wegwarte, Schmerzen, Rheuma, VerdauungDie Gemeine Wegwarte ist eine Pflanze, die eine Vielzahl an medizinisch wertvollen Inhaltsstoffen enthält. Als Anwendungsgebiete von Tee aus der Wurzel der Gemeinen Wegwarte werden in der Monografie des Herbal Medicinal Product Committee (HMPC) der European Medicines Agency (EMA) die Folgenden genannt: zur Linderung von Symptomen leichter Verdauungsstörungen wie Völlegefühl, Blähungen und langsame Verdauung sowie bei vorübergehender Appetitlosigkeit. Traditionell wird die Wegwarte auch bei Erkrankungen wie Rheuma und Hautkrankheiten sowie bei Schmerzen und Infekten wie Malaria eingesetzt.
Synthesis of 2-Aminobenzo[b]thiophenes via an Intramolecular Dehydrogenative C–S Bond Formation Effected by Iodine(III) Reagents
Authors: Bugaenko Dmitry I. , Karchava Alexander V. 
Published: December 2024

AbstractA direct synthesis of medicinal chemistry-relevant 2-aminobenzo[b]thiophenes has been achieved from substituted thioamides of 2-arylacetic acids through a fast intramolecular cross-dehydrogenative cyclization, mediated by hydroxy(tosyloxy)iodobenzene (HTIB, Koser’s reagent). This synthetic approach is operationally simple, uses easily accessible substrates, and tolerates a variety of substituents at different sites, providing an opportunity for diversification.
Imidazo[1,5-a]pyridin-3-ylidene-Catalyzed Oxidative Esterification of Aldehydes: Remarkable Electronic Effect Regarding π-Accepting Character of Ring-Fused N-Heterocyclic Carbene
Authors: Shibahara Fumitoshi , Endo Koki 
Published: December 2024

AbstractImidazo[1,5-a]pyrid-3-ylidene (IPC)-catalyzed oxidative esterification of aldehydes was investigated. A series of IPCs showed good catalytic activity, in particular, sterically hindered ones. Substituents on the 3-position of imidazo[1,5-a]pyridine ring significantly influenced its catalytic activity, and electron-withdrawing substituent accelerated the reaction.
Robotic Multivisceral Resection (RMVR) of the Pelvis for Locally Advanced Colorectal Carcinoma: Single Oncosurgical Center Experience
Authors: Lakmal M. A. Chamila , Selvasekar Chelliah R. , Aggarwal Shyam , Rawat Soumitra 
Published: December 2024

Introduction Locally advanced colorectal cancer management remains a challenge due to multiple reasons. Some of the major ones include the changes following the use of neoadjuvant radiotherapy and systemic anticancer treatment and previous abdominal surgery (including defunctioning stoma and related changes) and the proximity of structures close to the cancer. Robotic colorectal surgery for malignancy is rapidly evolving as a surgical technique in the management of colorectal cancers but its role in the management of locally advanced disease is not defined.
Methods This is a retrospective analysis of robotic colorectal surgery performed and captured in a prospective database. Patients who underwent multivisceral robotic colorectal surgery from 2012 to 2022 were included in this study. Robotic colorectal surgeries without multivisceral resections were excluded.
Results A total of 24 patients underwent robotic multivisceral resection (RMVR). This included 6 males and 17 females. The 17 females underwent posterior clearance, 5 males underwent abdominoperineal resection with seminal vesicle excision, and 1 male underwent total pelvic exenteration. Of the patients, 22 had neoadjuvant pelvic radiotherapy. Sixteen (66.7%) had past lower abdominal surgery (stoma). Preoperative tumor staging was T3 or T4 in 90%, and 80% had R0 resection. The median lymph node harvest was 15 (range 4–31). There was zero need for conversion to open surgery and zero 90-day mortality.
Conclusion RMVR is a safe approach for locally advanced colorectal cancer, with acceptable surgical clearance.
A Review of Autoimmune Thyroid Diseases and Their Complex Interplay with Female Fertility
Authors: Carafone Lindsay , Knutson Alex J. , Gigliotti Benjamin J. 
Published: December 2024

AbstractHashimoto thyroiditis and Graves' disease are autoimmune thyroid disorders that are common in women of reproductive age and have a complex relationship with female fertility and health of the maternal–fetal dyad. Both hyperthyroidism and hypothyroidism, whether subclinical or overt in severity, directly or indirectly affect nearly every level of the hypothalamic–pituitary–ovary axis, uterine and ovarian function, as well as fetal development from implantation through delivery. Autoimmunity itself also appears to negatively impact both spontaneous and assisted fertility, as well as miscarriage risk, although the mechanism remains unclear, and the presence and magnitude of risk is variable in published literature. While treatment of overt hyperthyroidism and hypothyroidism is unequivocally recommended by professional societies, the impact of treatment on fertility outcomes, and the role of treatment in subclinical thyroid disease is more controversial. Unfortunately, levothyroxine has not been shown to abrogate the risk of subfertility and miscarriage observed in euthyroid thyroid autoantibody positive women.
Temperature-dependent terahertz spectra and terahertz emission of GaTe
Authors: Li Hong , Wang Qiao , Li Qibing , Zhang Kai , Li Enen , Li Hongbo , Fang Guangyou , Wu Yirong , Hu Ping-An , Wang Tianwu 
Published: December 2024

Abstract
The terahertz spectra and terahertz emission characteristics of Gallium telluride (GaTe) as a function of temperature were studied by terahertz spectroscopy system, including terahertz time-domain spectroscopy, optical pump-terahertz probe spectroscopy and terahertz emission spectroscopy. The temperature range is 20 K–300 K. The temperature-dependence terahertz transmittance and dielectric properties, photocarrier recombination dynamics and terahertz radiation properties of GaTe are analyzed. As the temperature increases, thermal expansion and lattice vibration intensify, resulting in accelerated phonon scattering and reduced relaxation time. Meanwhile, due to the acceleration of the relaxation process, the carriers are rapidly recombined, which improves the terahertz transmittance of GaTe. Further, enhanced terahertz emission of GaTe was observed at low temperatures. This is because the excitation energy at low temperatures is more easily converted into transient photocurrents than energy dissipation. This work provides technical support for the fabrication of GaTe-based optoelectronic devices.
Inactivation and inhibition of Botrytis cinerea by plasma-activated water long-lived species
Authors: Guo Dingmeng , Liu Hongxia , Zhang Xiaoning , Ma Xiaoqin , Shi Yixin , Mao Junqi , Zhao Zhaoqi , Tu Zhentao 
Published: December 2024

Abstract
The Botrytis cinerea represents a significant threat to the quality of fruits and vegetables, reducing grape yields by up to 50%. The use of chemicals for undifferentiated control poses food safety and environmental pollution risks. This work investigated the effects of long-lived species in plasma-activated water (PAW) on the survival of spores and the development of mycelium throughout the whole process of Botrytis cinerea propagation and infestation. Additionally, the contribution of long-lived species to inactivating and inhibiting Botrytis cinerea, as well as their action mechanism were quantitatively analyzed. The results demonstrated that the content of long-lived species in PAW reached its highest level after 30 min of plasma activation. The inactivation rate of spores and inhibition rate of mycelial growth reached 100% and 83.54%, respectively. It was found that the primary long-lived species responsible for inactivating spores and inhibiting mycelium are different. H2O2 is more effective for spore inactivation (56.83%), while H2 is more efficient for mycelium inhibition (43.76%). Physiological analyses revealed that the two long-lived species, H2O2 and H2, exhibit distinct pathways for spores inactivation. H2O2 primarily disrupts spore membranes, enhances permeability, and induces exocytosis of intracellular proteins, ultimately leading to spore inactivation. H+ mainly acts on cell wall tension, elevates intracellular levels of reactive oxygen species, induces oxidative stress, and impedes physiological metabolism, resulting in spore cell inactivation.
Rapid prediction model of terahertz transmission in hypersonic plasma sheath under different flight speeds for different vehicle types
Authors: Guo Shiping , Cen Haicheng , Ouyang Wenchong , Liu Donglin , Wu Zhengwei 
Published: December 2024

Abstract
This work clarifies the systematic relationship and difference mechanism between flight speed, plasma sheath and terahertz transmission under different vehicle types by joint simulation model of hypersonic plasma flow and improved scattering matrix method. Significant differences in plasma sheath and terahertz transmission characteristics are observed in different vehicle types. Radio Attenuation Measurement C (RAM C) vehicle has a larger collision frequency and sheath thickness, resulting in higher terahertz attenuation than Hypersonic International Flight Research Experimentation (HIFiRE) vehicle. With the increase of flight speed, electron density, collision frequency and terahertz attenuation of the two different types of vehicles all show a significant increase, and the sheath thickness shows an opposite trend. However, the impact of flight speed on HIFiRE vehicle is much smaller than that on RAM C vehicle, which means that flight parameters have higher control accuracy for RAM C vehicle. On this basis, the systematic relationship between plasma sheath distribution and flight speed is further determined, and a rapid prediction model for terahertz transmission attenuation of different types of vehicle is developed based on a large amount of plasma sheath data. The rapid prediction model greatly reduces the calculation time and resources compared with traditional numerical methods, and its related prediction coefficients show significant differences on different vehicle types.
A new dual-channel transformer-based network for remaining useful life prediction
Authors: Yang Kai , Wei Yuxuan , Ma Yubao , Huang Lehong , Tang Qiang , Li Zhiguo 
Published: December 2024

Abstract
Remaining useful life (RUL) prediction is crucial for enhancing the reliability of complex systems, preventing unexpected failures, and reducing the maintenance costs of electromechanical systems. Data-driven methods, particularly deep learning, have been extensively applied in RUL prediction. However, recent methods have focused solely on long-term features, neglecting the significant role of short-term features in long sequence processes, which leads to an inability to achieve high-precision RUL prediction. In this article, a novel dual-channel network is proposed, which is based on the transformer encoder. Additionally, the approach proposes a robust dual-channel feature extraction layer that integrates a multi-scale convolution block and a gating convolution block. This integrated system is capable of capturing both long-term and short-term features from the raw data simultaneously. Compared to convolutional neural networks, recurrent neural networks and other transformer-based methods, the proposed method is more effective at extracting profound features and focusing on important information in the input. Utilizing the self-attention mechanism, the proposed model captures degradation features and achieves precise RUL prediction. Experiments conducted on the CMAPSS dataset demonstrate that the proposed method outperforms recent RUL prediction methods. The average root mean square error of the proposed method is reduced by 6.8%, and the average score is reduced by 8.5%, proving the effectiveness of the proposed approach.
Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar
Authors: Zhang Guixin , Cui Fan , Zhang Xiaoling , Cheng Qi , Wang Ran , Zhang Mengli 
Published: December 2024

Abstract
Accurate prediction of the spatial location of underground pipelines is crucial to ensure the safe operation of pipelines. However, the traditional ground penetrating radar (GPR) relies too much on the image data quality and the detection personnel’s experience. It can only estimate the approximate location of the underground pipeline. The acquisition of electromagnetic wave velocity is an essential part of accurately interpreting the spatial location of underground pipelines. Therefore, this paper’s research proposes a data processing flow that can be applied to multi-offset GPR, including multiple stacks of the same target and interactive velocity spectrum. The accuracy and practicability of the method are verified by numerical simulation and field tests. The research shows that multiple stacks can effectively suppress noise and enhance the signal characteristics of deep targets. In the simulated data, traditional GPR distance errors for layered structures and pipelines are 0.06 m and 0.13 m. In comparison, the distance error of the method proposed in this paper is 0.019 m in layered structures, which is a reduction of 5.86% in relative error. The pipeline distance error is 0.029 m, and the relative error is reduced by 10.1%. The distance errors of traditional GPR and multi-offset GPR for pipelines in field tests were 0.15 m and 0.093 m, respectively, with a reduction of 8.77% in the relative error.
Open-set fault diagnosis based on dynamic triple multivariate guided structural constraints
Authors: Wang Jiaqi , Liu Ping , Gao Jun , Liu Tong , Wang Xiaoli 
Published: December 2024

Abstract
Existing deep learning-based models for mechanical fault diagnosis perform well in identifying predefined faults, but these models substantially degrade in performance when they encounter unknown faults. Thus, it is crucial to investigate open-set fault diagnosis that can handle unknown faults more efficiently. Current methods for open-set fault diagnosis in machinery face challenges by the lack of hierarchical structure in feature representation and the overlapping regions of known and unknown sample distributions. To solve these problems, we propose a composite dual-branching dynamic triplet multivariate constrained (CDDTMC) model for mechanical open-set fault diagnosis. The CDDTMC framework consists of three main core modules: a feature extraction module, a structural constraint module and a fault diagnosis module. In the feature extraction module a composite two-branch network is designed to extract hierarchical feature representations from known samples. After extracting the sample features, it represents the samples with structural constraints using multivariate constraints based on bidirectional dynamic triplet loss to achieve discriminativeness and compactness. Determining the optimal decision boundary for each category based on the structural constraints and uses a distance-based diagnostic algorithm to identify fault diagnosis. We conducted experiments on two publicly available bearing datasets to validate the performance of the model. The results show that the model improves the average accuracy classification by 10.73% and 13.84%, respectively, compared to other comparative model.
Adsorption of molecular hydrogen on extended graphene prototypes decorated with sodium: a quantum-mechanical study
Authors: García-Arroyo Esther , Bartolomei Massimiliano , Hernández Marta I , González-Lezana Tomás , Mella Massimo , Campos-Martínez José 
Published: December 2024

Abstract
This paper presents a study of sodium-decorated circumcircumcoronene, a large polycyclic aromatic hydrocarbon (PAH) regarded as a graphene prototype, and the complexes formed upon aggregation of hydrogen molecules on this substrate. Accurate force fields based on high level electronic structure calculations have been built using a rigid rotor model for the hydrogen molecules as well as a corresponding pseudo-atom approximation, aimed to pursue larger compounds where a simpler treatment could be helpful. Structural and energy features of the hydrogen adsorption have been then analyzed by means of quantum Monte Carlo methods. A large stabilization of the adsorption energy is found for up to four H2 molecules attached to the alkali atom, in agreement with conclusions reached from previous studies on smaller Na-decorated PAHs. Adsorption patterns are examined in detail as the number of attached molecules is increased, comparing with results on smaller substrates and analyzing the effects of rotational orientation by contrasting the rigid rotor versus pseudo-atom approaches.
A novel analytical iterative approach to time-fractional Vibration equation using Aboodh transform
Authors: Akshey  , Singh Twinkle R 
Published: December 2024

Abstract
The main aim of the work is to achieve the approximate analytical solution of a time-fractional vibration problem for large membranes via Aboodh transform iterative method (ATIM). The ATIM method is the combination of Daftardar-Gejji's New iterative method and Aboodh transform. The fractional derivative operator is considered in the sense of Liouville-Caputo. The approximate-analytical solutions of the proposed equation for multiple situations have been determined by utilizing the initial values, which has accelerated the quick convergence of the series solution. The proposed method performs extremely well in terms of simplicity and effectiveness. Using the fixed point theorem the existence and uniqueness of the proposed problem have been stated. The validity and applicability of the technique are shown for obtaining approximate analytical solutions for different particular cases which are presented numerically and graphically. Many science and engineering problems can be solved analytically and numerically using the proposed approach.
Dynamical analysis and DSP implementation of 3D Hopfield neural network under dual memristive electromagnetic radiation
Authors: Cheng Minyuan , Cao Yinghong , Li Peng 
Published: December 2024

Abstract
Numerous important biological neural activities, such as changes in their own firing patterns and information transmission between neurons, are affected to some extent by electromagnetic radiation in the external environment. To explore the impacts of two different external electromagnetic radiation stimulation on neuronal activities in a neural network, a 3D Hopfield neural network under dual memristive electromagnetic radiation (DMEMRHNN) is proposed in this paper. Firstly, two memristor models for simulating different external electromagnetic radiation are proposed and introduced into the 3D Hopfield neural network (HNN), thus constructing the DMEMRHNN. Then, the rich dynamical behavior changes of the DMEMRHNN under the influence of parameters such as electromagnetic radiation intensity are analyzed. At the same time, the coexisting attractors, state transition, and rare and interesting 4-symmetric remerging Feigenbaum tree phenomena are discovered. Finally, the simulation results of the DMEMRHNN on MATLAB are verified through DSP experimental platform.
Galactic Compton wavelengths in f(R) screening theories
Authors: March Bradley , Burrage Clare , Naik Aneesh P. 
Published: December 2024

Abstract

f(R) theories of modified gravity may be compatible with current observations if the deviations from general relativity are sufficiently well screened in dense environments. In recent work [1] we have shown that approximations commonly used to assess whether galaxies are screened, or unscreened, fail to hold in observationally interesting parts of parameter space. One of the assumptions commonly made in these approximations, and more broadly in the study of f(R) models, is that the mass of the scalar mode can be neglected inside a galaxy. In this work we demonstrate that this approximation may fail spectacularly and discuss the implications of this for tests of the theory.