bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Systematic Literature Review on School-Based Speech-Language Pathology Collaboration Research
Authors: Evans Imani O. , Spence Christine M. , Rodgers Wendy J. , Scott LaRon A. 
Published: January 2025

Purpose:
School-based teams are called to be collaborative in order to appropriately and effectively serve students. Speech-language pathologists play crucial roles on school-based teams. This systematic review sought to synthesize existing empirical evidence on collaborative perceptions and experiences in research that included school-based speech-language pathologists (SLPs).

Method:
A systematic literature review was conducted, which included Boolean search methods of the Science Citation Index Expanded, Social Sciences Citation Index, Education Resources Information Center, Academic Search Complete, Education Research Complete, and PubMed databases. Through an abstract, text screening, and progeny search process, 26 articles met the study's inclusion criteria. Relevant data were extracted from each article, analyzed, synthesized, and organized into themes to answer the research questions.

Results:
The main findings from the systematic review were organized into (a) study design and participants; (b) purpose, definitions, and collaborative activities; (c) perceptions of collaboration; (d) engagement in collaboration; (e) facilitators and barriers; (f) collaboration and telepractice; and (g) differing findings based on demographic factors.

Conclusions:
Underscoring the complexity of school-based collaboration, researchers have utilized varied designs and frameworks to explore collaborative perceptions and experiences in research including school-based SLPs. While SLPs generally view school-based collaboration as valuable, engagement in collaboration is not as clear-cut. The number of facilitators and barriers described, variability in frameworks and definitions, and limited disaggregation across demographic factors underlie the need for continued research and have implications for policy and practice.
Added Sinonasal Morbidity of Transpterygoid Approach versus Transsphenoidal Approach: A Case-Controlled Analysis
Authors: Saroya Jasmeet , Huang Alice E. , Hooseinzadeh Farideh , Lee Christine K. , Fernandez-Miranda Juan , Hwang Peter H. , Patel Zara M. , Nayak Jayakar V. , Chang Michael T. 
Published: January 2025

Abstract
Background The transpterygoid approach is often used alongside the transsphenoidal approach in endoscopic endonasal skull base surgery to access lateral skull base regions. This study investigates the sinonasal morbidity associated with this combined approach.
Methods We conducted a retrospective analysis of 70 adult patients who underwent either transsphenoidal (TS) or transsphenoidal plus transpterygoid (TS + TP) approaches at a tertiary academic hospital from 2018 to 2023. Sinonasal quality of life was measured using the Sinonasal Outcome Test (SNOT-22) at preoperative, 2-week, 6-week, and 12-week postoperative evaluations.
Results Both cohorts exhibited a significant increase in SNOT-22 scores at 2 weeks postoperatively (TS: mean increase of 8.5, p = 0.020; TS + TP: mean increase of 12.3, p < 0.001), which normalized by 6 and 12 weeks (TS: p = 0.587 and p = 0.987, respectively; TS + TP: p = 0.378 and p = 0.220, respectively). There were no statistically significant differences in sinonasal morbidity between the TS and TS + TP cohorts at any time point. Middle turbinate (MT) sacrifice was associated with higher SNOT-22 scores (B = 12.559, p = 0.035), indicating worsened sinonasal outcomes.
Conclusion The transpterygoid approach, when added to the transsphenoidal approach, does not increase long-term sinonasal morbidity. This suggests that the combined approach is a viable option for achieving broader surgical exposure without compromising sinonasal quality of life in the long term. Further studies with extended follow-up are needed to confirm these findings and explore additional quality of life metrics.
Interface effects in the phase determination of Hf0.5Zr0.5O2 epitaxial thin films
Authors: Schimpf Jesse , Zhang Wang , Manna Mahir , Susarla Sandhya , Lu Xue-Zeng , Rondinelli James M. , Martin Lane W. 
Published: January 2025

HfO2-based ferroelectrics show tremendous potential for applications in computing technologies, but questions remain as to what dictates the stabilization of the desired phase. Here, it is demonstrated that the substrate the film is grown on is more influential than factors such as thickness, defect content, and strain. The presence of different possible polymorphs of Hf0.5Zr0.5O2 are observed to vary widely for different substrate materials—with La0.67Sr0.33MnO3, (LaAlO3)0.3(Sr2AlTaO6)0.7, and Al2O3 being (more) optimal for stabilizing the ferroelectric-orthorhombic phase. This substrate effect is found to be more influential than any changes observed from varying the film thickness (7.5–60 nm), deposition environment (oxygen vs argon), and annealing temperature (400–600 °C) in vacuum (10−5 Torr). X-ray diffraction and scanning transmission electron microscopy verify the phases present, and capacitor-based studies reveal ferroelectric behavior (or lack thereof) consistent with the phases observed. First-principles calculations suggest that forming oxygen vacancies in Hf0.5Zr0.5O2 lowers its work function, driving electrons away and helping to stabilize the ferroelectric phase. Substrates with a high work function (e.g., La0.67Sr0.33MnO3) facilitate this electron transfer but must also have sufficient ion conductivity to support oxygen-vacancy formation in Hf0.5Zr0.5O2. Together, these observations help clarify key factors essential to the stabilization of HfO2-based ferroelectrics.
Macro-model extraction and system-level simulation of a thermopile-based MEMS vacuum sensor
Authors: Lv Yutian , Zhou Zaifa , Fu Jianyu , Li Yixuan 
Published: January 2025

Abstract
Thermopile-based microelectromechanical system (MEMS) vacuum sensors are key component for vacuum monitoring, and they need be integrated with readout circuit to realize wide application. To decrease the time and cost of integrated system development cycle, system-level simulation during system design is required. A macro-model of thermopile-based MEMS vacuum sensor that involves couplings between pressure, thermal and electrical fields, is of great importance in system-level simulation. In this study, the state-space method is used to set up the macro-model of a thermopile-based MEMS vacuum sensor; the co-simulation with a readout circuit is carried out using Advanced Design System; vacuum measurement and room temperature measurement modes are analyzed. This macro-model is evaluated by a thermopile-based MEMS vacuum sensor, where the co-simulation results are in good agreement with the experiment results. The maximum error in response voltage for the vacuum pressure range of 100–103 Pa is about 5.9% and the temperature resolution for the room temperature range of 233.15–398.15 K is not more than 0.4 K.
Time-dependent gamma-ray emission from quasi-spherical explosions: the case of novae
Authors: Bednarek W , Witczak P 
Published: January 2025

Abstract
We consider a general model for a quasi-spherical explosion in which a part of the explosion energy is thermalized, forming an expanding photosphere around a compact object, and the second part of energy is taken by the expanding shell of material which forms a shock wave in the surrounding medium. Different types of particles (electrons, hadrons) can, in principle, be accelerated at the shock. They interact with the thermal radiation from the photosphere and also with the material at the shell. We determine the equilibrium spectra of particles in the shell as a function of time after explosion and calculate the time-dependent γ-ray spectra by taking into account the effects which are due to the anisotropy of the photo-spheric radiation field on the Inverse Compton (IC) process; we also include the absorption of IC γ-rays in the photosphere radiation. We conclude that, in principle, both leptonic and hadronic models can explain the GeV-TeV gamma-ray emission recently detected from the Nova RS Oph. However, the hadronic model, in comparison to the leptonic model, is more energetically demanding and requires much stronger magnetization of the nova shell.
Computational condensed matter science contributions to addressing water emerging contaminant pollution: a comprehensive review
Authors: Bordin José Rafael , Ferreira de Matos Jauris Carolina , Côrtes Patrick R B , Araújo Wanderson S , Moreira Luana S , Pereira dos Santos Alexsandra , Bitencourt Leão Mayara , Moraes Elizane E , Piotrowski Maurício J , Köhler Mateus H 
Published: January 2025

Abstract
The study of emerging contaminants (ECs) in water resources has garnered significant attention due to their potential risks to human health and the environment. This review examines the contribution from computational approaches, focusing on the application of machine learning (ML) and molecular dynamics (MD) simulations to understand and optimize experimental applications of ECs adsorption on carbon-based nanomaterials. Condensed matter physics plays a crucial role in this research by investigating the fundamental properties of materials at the atomic and molecular levels, enabling the design and engineering of materials optimized for contaminant removal. We provide a comprehensive discussion of various force fields (FFs) such as AMBER, CHARMM, OPLS, GROMOS, and COMPASS, highlighting their unique features, advantages, and specific applications in modeling molecular interactions. The review also delves into the development and application of reactive potentials like ReaxFF, which facilitate large-scale atomistic simulations of chemical reactions. Additionally, we explore how ML models, including sGDML and SchNet, significantly enhance the potential and refinement of classical models by providing high-level quantum descriptions at reduced computational costs. The integration of ML with MD simulations allows for the accurate parameterization of FFs, offering detailed insights into adsorption mechanisms. Through a qualitative analysis of various ML models applied to the study of ECs on carbon materials, we identify key physical and chemical descriptors influencing adsorption capacities. Despite these advancements, challenges such as the limited diversity of ECs studied and the need for extensive experimental validation persist. This review underscores the importance of interdisciplinary collaboration, particularly the contributions of condensed matter physics, in developing innovative materials and strategies to address the environmental challenges posed by ECs.
Physical origin and control of exciton spatial localization in high-κ MOene monolayers under external perturbations
Authors: Kishore Amal , Seksaria Harshita , De Sarkar Abir 
Published: January 2025

Abstract
Two-dimensional (2D) materials hold great promise for the next-generation optoelectronics applications, many of which, including solar cell, rely on the efficient dissociation of exciton into free charge carriers. However, photoexcitation in atomically thin 2D semiconductors typically produces exciton with a binding energy of ∼500 meV, an order of magnitude larger than thermal energy at room temperature. This inefficient exciton dissociation can limit the efficiency of photovoltaics. In this study, employing the first principles approach—DFT, GW + BSE, and analytical model, we demonstrate the role of asymmetric halogenation, dielectric environment, and magnetic field in 2D Ti2O MOene as an efficient strategy for regulating exciton binding energy (EBE) towards spontaneous exciton dissociation. Our study goes beyond the exciton ground state and quantifies the degree of spatial delocalization of exciton in excited states as well. We determine the quantitative impact of varying dielectric screening and magnetic field strength on EBE for different excited states (1 s, 2 s, 3 s, 4 s, and so on). Importantly, we reveal the significant role of orbital orientation (whether in-plane or out-of-plane) and symmetry (related to the angular momentum quantum number) in understanding the spatial localization of excitons and their binding energy. Additionally, a high dielectric constant in 2D MOene enables easier exciton dissociation, similar to that observed in 3D bulk semiconductors, while also harnessing the advantages of 2D materials. This makes it an effective material that combines the best of both 3D bulk and 2D structures. The study offers a promising strategy for designing next-generation optoelectronic devices.
Quantitative measurement of the Sauter mean diameter in dense fuel sprays using simultaneous planar-laser-induced-fluorescence/Mie scattering technique
Authors: Wu Guohua , Yu Xin , Peng Jiangbo , Yang Chaobo , Cao Zhen , Song Yingjie 
Published: January 2025

Abstract
The planar laser induced fluorescence (PLIF)/Mie scattering technique has been established as an effective method for measuring the Sauter mean diameter (SMD) distribution in dense fuel sprays. This technique typically utilized a 266 nm laser. However, the strong absorption of laser wavelengths ranging from 266 nm to 274 nm in dense fuel sprays affected the detection of Mie scattering signals. Therefore, it was proposed to use a 266 nm laser for fluorescence excitation and a 532 nm laser for Mie scattering radiation in dense fuel sprays. In this study, a look-up table was created by correlating the PLIF/Mie ratio with the SMD using the phase Doppler particle analyzer, reducing the SMDerror from 27% to 13%. Furthermore, the proposed method was successfully applied to investigate the atomization field of room temperature and atmospheric pressure in a dual-stage axial swirl combustion chamber. By comparing the time-averaged PLIF images and time-averaged Mie images, the vapor and liquid phases of the fuel in the spray were successfully imaged and identified. The results indicated that, under the same fuel flow, increasing the air mass flow led to a gradual increase in the spray cone angle inside the dual-stage axial swirl combustor. Additionally, at a constant fuel flow, increasing the air mass flow resulted in a more uniform droplet size distribution, thereby enhancing the atomization effect. The presented technique provides a reliable and accurate tool for studying fuel spray behavior under various operating conditions. This knowledge can contribute to the design of more efficient combustion systems and the optimization of fuel injection strategies.
Design and characterization of novel graphene-enhanced vapor chambers for lightweight and high-performance electronics cooling
Authors: Enmark Markus , Murugesan Murali , Zhang Hongfeng , Nilsson Torbjörn M J , Kallio Kai J , Kamal Arian , Liu Johan 
Published: January 2025

Abstract
The trend towards miniaturization of electronics and increasing transistor density in semiconductors requires more efficient cooling solutions. Vapor chambers are well established passive cooling devices that are used in a wide variety of electronics. Commercial vapor chambers are often made of high-density metals such as copper which can be a downside in lightweight applications such as laptops, smartphones, and tablets. In this study, different novel lightweight graphene-enhanced vapor chambers were built using graphene-assembled film with high thermal conductivity as envelope material. The thermal performance of the designed graphene-enhanced vapor chambers was characterized in a customized test rig and compared to a copper vapor chamber. One of the graphene-enhanced vapor chambers was shown to have 21.6% lower thermal resistance than that of a copper vapor chamber with the same design. A mass-based thermal resistance parameter was introduced as a figure of merit to account for the superior low density of the graphene-enhanced vapor chambers. The mass-based thermal resistance of the graphene-enhanced vapor chamber was seen to be 46.5% lower than that of the copper vapor chamber. The result of this study shows that replacing copper with graphene-assembled film as envelope in vapor chambers can both reduce thermal resistance and decrease the mass of the device. Hence, it is believed that graphene-enhanced vapor chambers have great potential for replacing conventional metal-based vapor chambers in lightweight and high-performance electronics and power module cooling applications in the future.
Exploration of an adaptive proton therapy strategy using CBCT with the concept of digital twins
Authors: Chang Chih-Wei , Tian Zhen , Qiu Richard L J , Scott Mcginnis H , Bohannon Duncan , Patel Pretesh , Wang Yinan , Yu David S , Patel Sagar A , Zhou Jun , Yang Xiaofeng 
Published: January 2025

Abstract

Objective. This study aims to develop a digital twin (DT) framework to achieve adaptive proton prostate stereotactic body radiation therapy (SBRT) with fast treatment plan selection and patient-specific clinical target volume (CTV) setup uncertainty. Prostate SBRT has emerged as a leading option for external beam radiotherapy due to its effectiveness and reduced treatment duration. However, interfractional anatomy variations can impact treatment outcomes. This study seeks to address these uncertainties using DT concept to improve treatment quality. Approach. A retrospective study on two-fraction prostate proton SBRT was conducted, involving a cohort of 10 randomly selected patient cases from an institutional database (n = 43). DT-based treatment plans were developed using patient-specific CTV setup uncertainty, determined through machine learning predictions. Plans were optimized using pre-treatment CT and corrected cone-beam CT (cCBCT). The cCBCT was corrected for CT numbers and artifacts, and plan evaluation was performed using cCBCT to account for actual patient anatomy. The ProKnow scoring system was adapted to determine the optimal treatment plans. Main Results. Average CTV D98 values for original clinical and DT-based plans across 10 patients were 99.0% and 98.8%, with hot spots measuring 106.0% and 105.1%. Regarding bladder, clinical plans yielded average bladder neck V100 values of 29.6% and bladder V20.8 Gy values of 12.0cc, whereas DT-based plans showed better sparing of bladder neck with values of 14.0% and 9.5cc. Clinical and DT-based plans resulted in comparable rectum dose statistics due to SpaceOAR. Compared to clinical plans, the proposed DT-based plans improved dosimetry quality, improving plan scores ranging from 2.0 to 15.5. Significance. Our study presented a pioneering approach that leverages DT technology to enhance adaptive proton SBRT, potentially revolutionizing prostate radiotherapy to offer personalized treatment solutions using fast adaptive treatment plan selections and patient-specific setup uncertainty. This research contributes to the ongoing efforts to achieve personalized prostate radiotherapy.
Dual-domain Wasserstein Generative Adversarial Network with Hybrid Loss for Low-dose CT Imaging
Authors: Zhou Haichuan , Liu Wei , Zhou Yu , Song Weidong , Zhang Fengshou , Zhu Yining 
Published: January 2025

Abstract

Objective. Low-dose computed tomography (LDCT) has gained significant attention in hospitals and clinics as a popular imaging modality for reducing the risk of x-ray radiation. However, reconstructed LDCT images often suffer from undesired noise and artifacts, which can negatively impact diagnostic accuracy. This study aims to develop a novel approach to improve LDCT imaging performance. Approach. A dual-domain Wasserstein generative adversarial network (DWGAN) with hybrid loss is proposed as an effective and integrated deep neural network (DNN) for LDCT imaging. The DWGAN comprises two key components: a generator (G) network and a discriminator (D) network. The G network is a dual-domain DNN designed to predict high-quality images by integrating three essential components: the projection-domain denoising module, filtered back-projection-based reconstruction layer, and image-domain enhancement module. The D network is a shallow convolutional neural network used to differentiate between real (label) and generated images. To prevent the reconstructed images from becoming excessively smooth and to preserve both structural and textural details, a hybrid loss function with weighting coefficients is incorporated into the DWGAN. Main results. Numerical experiments demonstrate that the proposed DWGAN can effectively suppress noise and better preserve image details compared with existing methods. Moreover, its application to head CT data confirms the superior performance of the DWGAN in restoring structural and textural details. Significance. The proposed DWGAN framework exhibits excellent performance in recovering structural and textural details in LDCT images. Furthermore, the framework can be applied to other tomographic imaging techniques that suffer from image distortion problems.
Commissioning and operation of 11.74T human MRI magnet for Gachon university gil medical center, South Korea
Authors: Pittaluga S , Dormicchi O , Mauro L , Pizzigoni G , Ventura D , Jo Young Seung , Chung Jun-Young , Kim Woo-Kyung 
Published: January 2025

Abstract
Magnetic resonance imaging (MRI) systems with magnetic field strengths higher than 7 Tesla (T), offer exceptional image resolution and signal-to-noise ratio, enabling more detailed visualization of fine anatomical structures, especially for brain, musculoskeletal, and cardiovascular studies. Only a few of them are operating in the whole world. An 11.74 T magnet for human MRI has been commissioned at Gachon University Gil Medical Center (GUGMC) in South Korea in 2022 and has now exceeded two-year operational life at full field. An overview of its features, the commissioning test campaign, and the experience gained after operations is presented.
Constraints on brane geometry from massive vector KK modes*
Authors: Fu 付 Chun-E 春娥 , Guo 郭 Heng 恒 , Yang 杨 Ye-Hao 烨豪 
Published: January 2025

Abstract
We examine the gauge invariance of massive vector Kaluza-Klein (KK) modes within various 6D brane models. Our analysis reveals that additional constraints on the brane geometry are essential to maintain the gauge invariance of the massive vector KK modes. However, these conditions are not universally satisfied by brane solutions, leading to loss of gauge invariance. In instances in which the brane solutions align with the conditions, we compute the mass spectra of both vector and scalar KK modes and determine some resonances for the KK modes in one of the brane models. Our findings indicate that the presence of a single type of massive scalar KK mode will break the gauge invariance.