bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digitale Navigatoren zur Akzeptanz- und Kompetenzentwicklung mit Mental Health Apps
Authors: Schwarz Julian , Heinze Martin , Scheunemann Kim , Schönbeck Julia , Schubert Darja , Speck Justin , Torous John , Uchtmann Laura , Wolff Jan , Meier-Diedrich Eva 
Published: December 2024

ZUSAMMENFASSUNG
Hintergrund In Deutschland warten Patienten in der Regel mehrere Monate auf einen psychotherapeutischen Behandlungsplatz. Digitale Gesundheitsanwendungen (DiGAs) ermöglichen dagegen eine zeitnahe Unterstützung der psychischen Gesundheit, werden aber nur begrenzt genutzt. Digitale Navigatoren (DN) sind speziell geschulte Gesundheitsfachkräfte, die Behandler und Patienten bei der Auswahl und Nutzung von DiGAs unterstützen und dabei sprachliche, sozioökonomische und soziodemografische Besonderheiten berücksichtigen. Dadurch kann die digitale Gesundheitskompetenz gestärkt, das Engagement erhöht und die Behandler entlastet werden.
Ziel Die DigiNavi-Studie pilotiert erstmals DN exemplarisch in der hausärztlichen und ambulanten psychiatrischen Versorgung in Deutschland.
Methoden 1. Die Akzeptanz und die Erwartungen von Behandlern und Patienten gegenüber DN werden qualitativ exploriert. 2. Das Trainingsmanual für DN der Harvard Medical School wird adaptiert und an n = 6 Studienzentren werden Medizinische Fachangestellte (MFA) zu DN ausgebildet. 3. Die DN begleiten n = 48 Pt bei der Nutzung von jeweils einer DiGA. Die digitale Gesundheitskompetenz und die psychische Symptomschwere der Pt werden im Prä-Post-Vergleich quantitativ evaluiert. Zusätzlich werden die Nutzungserfahrungen und Implementierungshürden qualitativ exploriert.
Ergebnisse Die Studie liefert wichtige Erkenntnisse zur Akzeptanz und Machbarkeit von Human Guidance zur Kompetenzentwicklung mit Mental Health Apps in multiprofessionellen Gesundheitsteams.
Diskussion Die erfolgreiche Implementierung von DN kann die Nutzung von DiGAs in Deutschland fördern und damit die Versorgungssituation von Menschen mit psychischen Erkrankungen verbessern.
Digitale Remote Measurement Based Care Systeme in der Psychiatrischen Versorgung von Menschen mit schweren psychischen Erkrankungen
Authors: Wiegmann Caspar , Benedyk Anastasia , Machleid Felix , Kaminski Jakob 
Published: December 2024

ZUSAMMENFASSUNGRemote Measurement Based Care (RMBC) bezeichnet die Anwendung digitaler Technologien zur kontinuierlichen Erfassung und Analyse von Patientendaten in der psychiatrischen Versorgung. Diese Form der Versorgung nutzt digitale Tools, um die Behandlungsergebnisse zu verbessern, indem sie eine regelmäßige Messung der Symptome, Nebenwirkungen, Aktivitäten und den Austausch von Informationen zwischen Patienten und Behandler ermöglicht. RMBC ist ein vielversprechender Ansatz, um die Therapie von psychischen Erkrankungen zu optimieren und die Patientenbeteiligung zu fördern. In diesem Artikel werden ausgewählte Anwendungen von RMBC sowie Überlappungen und Unterschiede zu ähnlichen Konzepten wie Psychotherapie-Feedback und Ecological Momentary Assessment (EMA) beschrieben. Anwendungen von RMBC bei psychiatrischen Erkrankungen, insbesondere schweren psychischen Erkrankungen (severe mental illness, SMI) werden dargestellt, sowie Chancen und Implementierungsbarrieren diskutiert.
Comparison of Microwave and Radiofrequency Ablation for the Treatment of Small- and Medium-Sized Hepatocellular Carcinomas in a Prospective Randomized Trial
Authors: Vogl Thomas J. , Martin Simon S. , Gruber-Rouh Tatjana , Booz Christian , Koch Vitali , Nour-Eldin Nour-Eldin A. , Hussainy Said M.N. 
Published: December 2024

Purpose To compare the therapeutic response and clinical outcome of CT-guided percutaneous microwave (MWA) and radiofrequency ablation (RFA) for the treatment of small- and medium-sized HCC.
Materials and Methods In this prospective trial, 50 patients with HCC were randomly assigned to MWA or RFA treatment. MRI was performed 24 h before and after ablation and subsequently in 3-month intervals. Ablation volumes, ablation durations, adverse events (AE), technique efficacy, technical success, local tumor progression (LTP), disease-free survival (DFS), intrahepatic distant recurrence (IDR), and overall survival (OS) rates were evaluated.
Results The mean ablation volume was 66.5 cm³ for MWA and 29.2  cm³ for RFA (p < 0.01). The mean ablation durations for MWA and RFA were 11.2 ± 4.0 min and 16.3 ± 4.7 min, respectively (p < 0.01). Six mild AEs were documented (p > 0.05). All treatments had a technical success rate and a technique efficacy rate of 100 % (50/50, p = 1.00). LTP within 2 years occurred in 1/25 (4 %) in the MWA group and in 4/25 (16 %) in the RFA group (p = 0.06). IDR within 2 years was 8/25 (32 %) for MWA and 14/25 (56 %) for RFA (p < 0.05). The median DFS was 24.5 months and 13.4 months for MWA and RFA, respectively (p = 0.02). The 1-, 2-, 3-year OS rates were 100 %, 80 %, 72 % in the MWA group and 72 %, 64 %, 60 % in the RFA group, respectively (p ≥ 0.14).
Conclusion The clinical outcome after MWA or RFA for HCC treatment was very similar with no significant differences in LTP or OS. However, MWA shows a trend toward better DFS with fewer IDRs than RFA.
Key Points
Non-factor Therapies for Hemophilia: Achievements and Perspectives
Authors: Jiménez-Yuste Victor 
Published: November 2024

AbstractNon-factor replacement therapies (NFTs) have been developed to address the limitations of conventional replacement therapies, aiming to improve hemostasis and provide enhanced protection against bleeding episodes and long-term joint damage for patients both with and without inhibitors. Factor VIII (FVIII)-mimetic agents, such as emicizumab, have transformed the management of hemophilia A with inhibitors, offering a lower treatment burden and an effective alternative for those without inhibitors as well. Rebalancing agents, including anti-tissular factor pathway inhibitor agents (concizumab and marstacimab) and serpin inhibitors like fitusiran, have shown promising efficacy for patients with hemophilia B with inhibitors and other hemophilia subtypes. Administered subcutaneously, NFTs generate stable thrombin levels and feature a long half-life, which can shift severe hemophilia toward a milder phenotype. These therapies are effective regardless of inhibitor status and hold potential for application in other bleeding disorders. Evaluating the potential thrombotic risk after implementing mitigation measures, along with the development of anti-drug antibodies (ADAs), remain critical areas for further analysis. NFTs pose additional challenges due to their complex mechanism of action and the absence of a standardized laboratory assessment method. Unresolved issues include optimal management strategies for major surgeries and tailored approaches for safe use in older populations. This review highlights the progress and future potential of NFTs in treating persons with hemophilia.
Risk messaging style and its effect on public preparedness for earthquakes: longitudinal intervention-based study
Authors: Levy Liel , Bodas Moran 
Published: December 2024

AbstractThis study examines the effect of risk communication styles (fear-based versus empowerment-based) on households’ earthquake preparedness. An online longitudinal study with intervention and control groups was conducted using a representative sample of the adult population in Israel. The change in the reported level of preparedness was assessed through Repeated Measures ANOVA with interaction effects for both the risk communication style and gender. The Analysis revealed a significant difference in reported levels of earthquake preparedness over time (F(1.697,303.70) = 102.58, p < 0.001; partial η2 = 0.36). However, no statistically significant interaction was found with the risk communication style (p = 0.55). Borderline significance (p = 0.04) was observed in the three-way interaction (time-intervention-gender). Gender (β = 0.19), age (β = 0.21), perceived earthquake likelihood (β = 0.14), and sense of preparedness (β = 0.28) were significant predictors in multivariate regression analysis. While consistently showing that participants exposed to empowering information reported higher earthquake preparedness, the research hypothesis was not substantiated. Recommendations for public health policy are discussed.
Deriving nonlinear pricing schemes using modified least deviations spline regression
Authors: Radic Dubravko 
Published: November 2024

AbstractNonlinear pricing is a form of price differentiation in which the average price per unit is a nonlinear decreasing function of demand. It is widely used in many industries such as telecommunications or utilities. Rationales for using nonlinear pricing are manifold, ranging from taking account of decreasing marginal utilities of customers to building up switching costs. As with other forms of price differentiation, the potential for capturing consumer surplus and increasing profits is considerable. Nonlinear pricing schemes come in various forms, such as discounts, buy-one-get-one, power shopping, two-part tariffs, and block-tariffs. All these forms are well known. However, little is said about how exactly to systematically derive an optimal nonlinear pricing scheme. In this paper, I propose a new systematic empirical approach using a modified least deviations Spline regression-estimator.
Finite element analysis of coating thickness effect over metal nanostructures for hyperthermia
Authors: Asghar Tanzeela , Naz Muhammad Yasin , Afzal Saba , Abbas Ghulam , Ibrahim Ahmed Ahmed , Khan Yasin , Farooq Muhammad Umar 
Published: December 2024

As a therapeutic approach for cancer, hyperthermia involves selectively increasing the temperature of affected tissues while preserving adjacent healthy tissues. This study explores the efficacy of pristine and coated silver, copper, and gold nanostructures such as nanorods, nanospheres, and nanoellipsoids for hyperthermia. This study performed finite element analysis to assess the relative performance of pristine nanostructures and those covered with different coating thicknesses. The metallic nanostructures were enclosed within the spherical zone of malignant tissue of 500 nm size, and the ambient temperature of these nanostructures was increased to 42–46 °C. Thermal equilibrium was reached after 0.1 μs of heating in the treatment region. Compared to other geometries, the nanorods quickly attained the required temperature in the treatment region. The nanorods with 1 nm coating thickness showed a fast heating response compared to 2 and 3 nm coatings. Silver, gold, and copper nanorods reached a temperature of 44.2, 43.6, and 43.5 °C, respectively, after 0.1 μs of heating. Gold-coated silver nanorods were discovered to be most efficient at achieving the highest temperature of 44.2 °C.
High detectivity terahertz radiation sensing using frequency-noise-optimized nanomechanical resonators
Authors: Zhang Chang , Yalavarthi Eeswar K. , Giroux Mathieu , Cui Wei , Stephan Michel , Maleki Ali , Weck Arnaud , Ménard Jean-Michel , St-Gelais Raphael 
Published: December 2024

We achieve high detectivity terahertz radiation sensing using a silicon nitride nanomechanical resonator functionalized with a metasurface absorber. High performances are achieved by striking a balance between the frequency stability of the resonator and its responsivity to absorbed radiation. Using this approach, we demonstrate a detectivity D*≈3.4×109cm⋅Hz/W and a noise equivalent power NEP≈36pW/Hz that outperform the best room-temperature on-chip THz detectors, such as pyroelectric detectors, while maintaining a comparable thermal response time of ≈200 ms. Our optical absorber consists of a 1-mm diameter metasurface, which currently enables a 0.5–3 THz detection range but can easily be scaled to other frequencies in the THz and infrared ranges. In addition to demonstrating high-performance terahertz radiation sensing, our work unveils an important fundamental trade-off between frequency stability and responsivity in thermal-based nanomechanical radiation sensors.
Frequency-driven-multistable hazy states for smart windows with ultralow power consumption
Authors: Ryu J. W. , Choi G. J. , Jeon H. J. , Choi Y. , Gwag J. S. 
Published: December 2024

This study presents an ultralow-power smart window that uses frequency-driven electroconvection in a chiral liquid crystal (LC) to generate multiple stable haze states. Irradiating a chiral nematic LC mixture with ultraviolet light ionizes some LC molecules, activating electroconvection that causes dynamic light scattering. The haze state depends on frequency and voltage because of the mass and charge of the LC molecular ions. These parameters control the ratio of the focal-conic (haze) to the planar (transparent) states that arise when the voltage is removed. In particular, the applied frequency most strongly influences the distance through which the massive LC molecular ions can move during a one-half cycle. Notably, these states are considerably stable; thus, they exhibit a constant haze over a long period. Experimental results show that by varying the frequency at a constant voltage and, subsequently, removing the voltage, continuous and stable haze values can be obtained at each frequency and that each of these states maintains similar haze levels (within 2% variation) for &gt;1 day. These findings indicate the possibility of creating ultralow-power smart windows using these frequency-driven, multistable haze states.
RADD-CycleGAN: unsupervised reconstruction of high-quality ultrasound image based on CycleGAN with residual attention and dual-domain discrimination
Authors: Si Mateng , Wu Musheng , Wang Qing 
Published: December 2024

Abstract
Plane wave (PW) imaging is fast, but limited by poor imaging quality. Coherent PW compounding (CPWC) improves image quality but decrease frame rate. In this study, we propose a modified CycleGAN model that combines a residual attention module with a space-frequency dual-domain discriminator, termed RADD-CycleGAN, to rapidly reconstruct high-quality ultrasound images. To enhance the ability to reconstruct image details, we specially design a process of hybrid dynamic and static channel selection followed by the frequency domain discriminator. The low-quality images are generated by the 3-angle CPWC, while the high-quality images are generated as real images (ground truth) by the 75-angle CPWC. The training set includes unpaired images, whereas the images in the test set are paired to verify the validity and superiority of the proposed model. Finally, we respectively design ablation and comparison experiments to evaluate the model performance. Compared with the basic CycleGAN, our proposed method reaches a better performance, with a 7.8% increase in the peak signal-to-noise ratio and a 22.2% increase in the structural similarity index measure. The experimental results show that our method achieves the best unsupervised reconstruction from low quality images in comparison with several state-of-the-art methods.
Predicting of structural, elastic, vibration, and thermodynamic properties of XThSn (X = Pt and Ni) thermoelectric materials
Authors: Ciftci Y Oztekin , Bioud N , Kars Durukan İ 
Published: December 2024

Abstract
In this study, we performed a theoretical analysis of three different phases of the XThSn (X: Pt, Ni) Half-Heusler compounds using the DFT method implemented in the VASP program. We determined the structural properties of these cubic Half-Heusler compounds and identified that the second phase is the most energetically stable. Our analysis of the elastic properties revealed that these compounds are mechanically stable and ductile. We also evaluated their anisotropy properties in three dimensions and found that, apart from linear compressibility, the compounds exhibit anisotropic behavior. The vibrational properties confirmed the dynamic stability of the compounds. Furthermore, we assessed the thermodynamic properties within the 0–1000 K temperature range and the pressure range of 0–30 GPa. Our detailed investigation of the physical properties of the XThSn (X: Pt, Ni) Half-Heusler compounds provides valuable insights for future theoretical and practical research.
Transport and optical study of mechanically stable novel RNiSb (R= Tb, Dy, Tm) half-Heusler compounds for thermoelectric and optoelectronic applications
Authors: Mehta Shreya , Saini Sapan Mohan 
Published: December 2024

Abstract
Spin polarised calculations using the GGA+U method, has been performed for the study of structural stability, electronic, mechanical, thermodynamic, and thermoelectric behavior of half-Heusler compounds RNiSb (R = Tb, Dy, Tm). The calculated formation energy ensures the thermodynamic stability and fulfilment of Born–Huang criteria confirms the mechanical stability of the studied compounds. An indirect narrow energy gap of 0.11, 0.16 and 0.54 eV for RNiSb (R = Tb, Dy, Tm) half-Heusler, respectively, is found to open up using GGA+U calculations. The brittle nature of these compounds is also validated by the calculated values of Pugh’s ratio and Cauchy pressure. Our calculated optical spectra of these compounds suggest feasibility for application as optoelectronic devices operating in the visible and near ultraviolet spectrum. High value of the calculated melting temperature (around 1400 K) as well as experimental observations of thermoelectric properties up to 1000 K, confirms the mechanical stability of these RNiSb compounds at elevated temperatures. We obtained high values of Seebeck coefficient, which is consistent with the experimental data. Therefore, these compounds are suitable as potential candidates for high temperature thermoelectric applications.
Structural, electrical, and photothermal conversion studies of triglycine sulfate/graphene oxide composites for pyroelectric detector and energy harvesting applications
Authors: Mousa Emad , Taha Eman O , Tammam Ahmed K 
Published: December 2024

Abstract
The aim of this study is to investigate the figures of merit for pyroelectric detectors and energy harvesting of polycrystalline triglycine sulfate (TGS) loaded with different weight ratios of graphene oxide (GO). FTIR, XRD, and DSC techniques are used to characterize the synthesized composites. Structural changes in TGS upon GO loading correlate to the subsequent variations in composites’ dielectric, pyroelectric, optical, and photothermal properties. The results revealed that doping TGS by low content of GO (1%–5% by weight) could improve its photothermal effectiveness and figures of merit for pyroelectric detectors and energy harvesting applications.
Numerical simulation of linear time-fractional parabolic equations with generalized cardinal sine kernel derivatives
Authors: Odibat Zaid 
Published: December 2024

Abstract
Recently, a new concept of fractional differentiation with non-singular generalized cardinal sine kernel was proposed. In this paper, we considered a framework for linear time-fractional parabolic equations by incorporating a modified extension of the generalized cardinal sine kernel fractional derivative operator which is based on a singular kernel. This study is concerned with simulating linear time-fractional parabolic equations in the context of the studied framework. We essentially suggested a numerical scheme to present approximate solutions of linear time-fractional parabolic equations involving the extended version of the recently developed derivative. The extended version is able to overcome the limitations of the considered derivative in relation to the modeling issue. The proposed scheme depends on discretizing the studied time-fractional models according to spatial and temporal variables. Numerical simulations and 3D graphics of novel time-fractional parabolic models are presented. The solution space of the studied models is the space L
1.
The strapdown shipborne gravimetry for ocean based on SINS/GNSS: comparison and optimization
Authors: Qian Lei-Yuan , Qin Fang-Jun , Li Kai-Long , Chang Lu-Bin , Zhu Tian-Gao , Gao Peng-Hua 
Published: December 2024

Abstract
The strapdown inertial scalar gravimetry (SISG) has become one of the main methods for measuring marine gravity. SIGS requires specific force, attitude, velocity, and position information for gravimetry. The attitude can be obtained by the strapdown inertial navigation system/global navigation satellite system (SINS/GNSS) integration, and the displacement information comes from GNSS or SINS/GNSS. Therefore, based on the different sources of displacement information, shipborne SISG can be divided into two modes. Namely, the gravimetry method of different parameter sources (DPGM) based on displacement information of GNSS and the attitude of SINS/GNSS, as well as the full parameter gravimetry method (FPGM) based on the attitude and displacement information of SINS/GNSS. Since the accuracy of GNSS can meet the requirements for gravimetry, the theoretical studies and applications of DPGM are more common. For FPGM, this idea is more often used in underwater applications (SINS/ doppler velocity log (SINS/DVL), etc). However, it rarely appears in shipborne applications. Moreover, there is relatively little theoretical analysis on FPGM. In fact, FPGM also has certain application prospects due to the high accuracy. Based on this, this article first provides the measurement model and steps of FPGM, and conducts the theoretical analysis of FPGM. The comparison is made with DPGM from the perspective of error terms. And it is pointed out that FPGM has better potential for anti-interference improvement than DPGM. Then, from the perspective of application, we propose the investigated linear robust Kalman filter (LRKF) based on Huber-M estimation without traversing all dimensions and introduce the horizontal acceleration and bias corrections to improve FPGM. Finally, the optimized FPGM (OFPGM) is obtained. The results of lake and sea tests show that FPGM has certain research value. And OFPGM has higher performance in high dynamic condition and when GNSS occurs interference, which is more suitable for offshore measurement.
Roughness of fuzzy sets by binary relations induced from soft relations with application in decision making
Authors: Mehmood Saeed , Gul Rizwan , Shabir Muhammad , Alballa Tmader , Khalifa Hamiden Abd El-Wahed 
Published: December 2024

Abstract
Binary relations are significant in mathematics and information sciences. Meanwhile, fuzzy set (FS), rough set (RSs), and soft set (SS) are efficient mathematical schemes for dealing with uncertain and vague information in real-world circumstances. This article explores rough approximations of an FS based on induced binary relations from a soft relation that are given in terms of foresets and aftersets. We first analyze two pairs of rough approximations based on induced binary relations and review their distinctive features. Additionally, we construct two variants of fuzzy topologies through the use of induced reflexive relations. Meanwhile, several similarity relations associated with induced reflexive relations are also discussed. Moreover, we introduce a decision making (DM) method that aligns with the invented approach. The decision steps and the algorithm of the decision method are also specified. A practical illustration verifies the legitimacy of the decision method. A detailed comparative analysis further authenticates the viability and efficacy of the projected method over existing decision-making techniques. A detailed comparative analysis further authenticates the viability and efficacy of the projected method over existing decision-making techniques.