bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying Functional Lymph Nodes in Lower Extremity Lymphedema Patients: The Role of High-frequency Ultrasound
Authors: Alshomer Feras , Jeong Hyung Hwa , Pak Changsik John , Suh Hyunsuk Peter , Hong Joon Pio 
Published: January 2024

Abstract
Background Lymph nodes may play a potential role in lymphedema surgery. Radiologic evaluation of nodes may reveal the status of pathologic conditions but with limited accuracy. This study is the first to evaluate the efficacy of ultrasound in detecting functioning nodes in lymphedema patients and presents a criterion for determining the functionality of the lymph nodes.
Methods This retrospective study reviews 30 lower extremity lymphedema cases which were candidates for lymph node to vein anastomosis. Lymphoscintigraphy and magnetic resonant lymphangiography (MRL) imaging were compared with ultrasound features which were correlated to intraoperative indocyanine green (ICG) nodal uptake as an indication of functionality.
Results Majority were International Society of Lymphology stage 2 late (50.0%) and stage 3 (26.7%). ICG positive uptake (functioning nodes) was noted in 22 (73.3%), while 8 patients (26.6%) had negative uptake (nonfunctioning). Ultrasound had significantly the highest specificity (100%) for identifying functional nodes followed by lymphoscintigraphy (55%) and MRL (36%; p = 0.002, p < 0.001, respectively). This was associated with 100% positive predictive value compared against lymphoscintigraphy (44%) and MRL (36%; p < 0.001 for both). The identified ultrasound imaging criteria for functioning lymph node were oval lymph node shape (Solbiati Index), morphology, vascularity pattern, and vascularity quantification.
Conclusion The use of ultrasound in nodal evaluation was proven effective in different pathologic conditions and demonstrated the best prediction for functionality of the lymph node based on the new evaluation criteria.
Palliative Care in Neuro-oncology
Authors: Besbris Jessica M. , Taylor Lynne P. 
Published: January 2024

AbstractHistorically, the practice of neurology as an independent subspecialty from internal medicine began in Europe and the United States in the 1930s. The American Academy of Neurology (AAN) was founded 75 years ago in 1948, solidifying its emergence as a stand-alone discipline of medicine. In 1967, St. Christopher's Hospice, the first free standing hospice home, was opened in London by Dame Cicely Saunders. Dame Saunders is considered a pioneer in the development of the hospice movement, and she embodies the importance of the multi-disciplinary team in the care of the patient, as she began her career as a nurse, then became a social worker and, finally, a physician. A decade later, in 1978, Dr. Balfour Mount, a Canadian urologic cancer surgeon, coined the term “palliative care” (“to improve the quality of life”) after having spent time with Dr. Saunders at St. Christopher's some years earlier. The field of palliative care continued to develop as a distinct subspecialty focused on improving quality of life for patients at any age and in any stage of serious illness. In a 1996 position statement, the AAN made clear that the practice of primary palliative care is the responsibility of all neurologists to their patients. Finally, coming full circle, the specialty of neuro-palliative care, a subspecialty not just of neurology but of palliative medicine, became established around 2018. Neuro-palliative care can be seen as a specialty focusing on the holistic approach to symptom management in patients suffering from neurologic disease with the aim of improved symptom control and attention to the psychologic and spiritual aspects of illness.
Trends in Gender-Affirming Surgeries in the United States from 2010 to 2021
Authors: Ha Ally , Garoosi Kassra , Hale Elijah , Higuchi Ty , Winocour Julian , Mathes David W. , Kaoutzanis Christodoulos 
Published: January 2024

Abstract
Introduction: In 2017, an estimated 1.6 million adults and 150,000 teenagers identified as transgender in the United States. With ever-changing legislative developments regarding health care benefits for this population and the increasing number of patients presenting for gender-affirming surgery (GAS), there is a scarcity of literature on the temporal trends within the past decade. The objective of this study was to examine the temporal trends of the utilization of GAS.
Methods: We conducted a cross-sectional study using TriNetX, a federated research network containing deidentified aggregate patient data. Using International Code of Disease (ICD) and Current Procedural Terminology (CPT) codes, we identified patients with a diagnosis of gender dysphoria who underwent GAS from 2010 to 2021. Basic demographic information and complications were analyzed. Complications of interest included site failure, infection, and systemic complications.
Results: We identified a total of 8,403 patients who underwent GAS between January 2010 and December 2021. The number of procedures per year increased nearly 500% between 2016 and 2021 from 421 procedures to 2,224 procedures. Our demographic results were consistent with previous survey-based studies. The average age of patients who underwent masculinizing surgeries was consistently younger than those who underwent feminizing surgeries. Most patients undergoing GAS were of white race. The overall complication rate was 4.7%.
Conclusion: In conclusion, our study reveals a significant and rapid rise in the utilization of GAS in the United States, with a fivefold increase in procedures between 2016 and 2021. The demographic characteristics and low complication rates observed highlight the evolving landscape of health care for transgender individuals and the need for ongoing assessment and support in this field.
Patterns before recognition: the historical ascendance of an extractive empiricism of forms
Authors: Üstün Berkay 
Published: January 2024

AbstractThis article explores the complex convergence between cybernetics and Gestalt theory and its influence on the concept of pattern recognition. It finds a departure in the analogous ways each discipline extends their core frameworks toward social and anthropological objects. However, this shared ground is not without tensions. In the post-war American context, what is formalizable and realizable in mechanical structures has a certain explanatory authority—even if often misplaced-- concerning perception and human intelligence. Cultural patterns feed into mechanical recognition of patterns, exemplifying “extractive empiricism” or the process of outsourcing experiential processes to mechanical systems. This mode of “proof” is also evident in cybernetic and cognitive psychological strategies toward Gestalt theory, leaving a significant legacy for contemporary machine learning approaches. By examining the early interactions between these rival paradigms, known for their quest for generalization, and disentangling their source status, this inquiry contributes to understanding the broad conceptual possibilities of pattern recognition beyond its narrow confines in engineering perspectives and machine learning discourse.
Access to general practice for preventive health care for people who experience severe mental illness in Sydney, Australia: a qualitative study
Authors: Spooner Catherine , O’Shea Peri , Fisher Karen R. , Harris-Roxas Ben , Taggart Jane , Bolton Patrick , Harris Mark F. 
Published: January 2024

Background People with lived experience of severe mental illness (PWLE) live around 20 years less than the general population. Most deaths are due to preventable health conditions. Improved access to high-quality preventive health care could help reduce this health inequity. This study aimed to answer the question: What helps PWLE access preventive care from their GP to prevent long-term physical conditions? Methods Qualitative interviews (n = 10) and a focus group (n = 10 participants) were conducted with PWLE who accessed a community mental health service and their carers (n = 5). An asset-based framework was used to explore what helps participants access and engage with a GP. A conceptual framework of access to care guided data collection and analysis. Member checking was conducted with PWLE, service providers and other stakeholders. A lived experience researcher was involved in all stages of the study. Results PWLE and their carers identified multiple challenges to accessing high-quality preventive care, including the impacts of their mental illness, cognitive capacity, experiences of discrimination and low income. Some GPs facilitated access and communication. Key facilitators to access were support people and affordable preventive care. Conclusion GPs can play an important role in facilitating access and communication with PWLE but need support to do so, particularly in the context of current demands in the Australian health system. Support workers, carers and mental health services are key assets in supporting PWLE and facilitating communication between PWLE and GPs. GP capacity building and system changes are needed to strengthen primary care’s responsiveness to PWLE and ability to engage in collaborative/shared care.
Plasma properties and discharging of dust particles in an Ar/C2H2 plasma afterglow
Authors: Denysenko I B , Mikikian M , Azarenkov N A 
Published: January 2024

Abstract
A global (volume averaged) model is developed for an argon-acetylene plasma afterglow. The model is used to study the electron and ion densities, electron temperature and densities of argon metastable atoms in the afterglow plasma. The calculated time dependence for the electron density is found to be in agreement with the existing experimental data. These calculated plasma characteristics are used to investigate the dust charge distribution function (DCDF) for particles with radii of 10–200 nm. The DCDF is found by solving numerically the master equation describing dust discharging as a one-step stochastic process and is also calculated as a Gaussian distribution with mean dust charge and variance, which are functions of time. The time dependences for mean dust charge, variance and dust charging time are obtained and analysed. If the electronegativity of the plasma in the steady-state is low, negative ions do not affect much discharging of dust particles in the afterglow, while at large electronegativity their role is essential. In the case of low electronegativity, discharging of dust particles is mainly due to deposition of positive ions with small and moderate masses (less than the mass of C10H6
+ ions). Increasing electronegativity, the effect of heavy positive ions on dust discharging in the late afterglow is important. Secondary electron emission from dust surface at collisions of metastable atoms appears to be negligible.
Elastocaloric effect with plateau-shape adiabatic temperature change in Ni–Co–Fe–Ga strain glass alloy
Authors: Cheng Fei , Dong Tianjiao , Wang Yu , Liang Chuanxin , Guo Yuanjun , Liu Chang , Zhai Qiang , Wang Dong , Yang Sen , Ren Xiaobing 
Published: January 2024

Abstract
Elastocaloric effect (eCE) is a very promising candidate for using in non-vapor compression refrigeration, which is highly efficient and eco-friendly. However, designing elastocaloric alloys with a wide reversible working temperature window at low stress is still challenging. In this work, the transition behaviors, microstructural evolutions and the eCE of a series of Ni55−x
Co
x
Fe19Ga27 alloys were systematically studied. The Ni44Co11Fe19Ga27 strain glass (STG) alloy exhibits a plateau-shape eCE, which show an average temperature change (ΔT
Adia) of ∼2.3 K covering a wide reversible working temperature range (ΔT
rev) from 135 K to 200 K. The unique eCE behavior of STG stems from that the random distribution of local free energy of the martensite coupled with the small transition energy barriers, which leads to a wide transition-temperature range and decreased hysteresis. The Ni44Co11Fe19Ga27 STG alloy achieves a balance between the considerable ΔT
Adia and wide ΔT
rev, resulting in an optimal comprehensive elastocaloric performance and contributing to improving the efficiency of elastocaloric refrigeration.
Experimental study on microwave ignition of ADN-based liquid propellant droplets doped with alumina nanoparticles
Authors: Hou Yangyang , Yu Yusong , Li Yong , Liu Xuhui , Yao Zhaopu , Zhang Shaoyun 
Published: January 2024

Abstract
The objective of this study was to investigate the effects of alumina (Al2O3) nanoparticles on the evaporation, ignition, and combustion of ammonium dinitramide (ADN)-based liquid propellants under microwave irradiation. The alumina nanoparticles were uniformly dispersed in the ADN-based propellant at mass ratios of 25, 50, and 100 ppm, resulting in the formation of nano-fuel. Experimental methods were employed to examine the influence of alumina nanoparticles on the micro-explosion intensity, ignition delay time, combustion duration, critical ignition power, and emission spectra of the nano-fuel droplets. The experimental findings revealed a significant increase in the intensity and frequency of micro-explosion events with the inclusion of alumina nanoparticles. Compared to pure propellant, the nano-fuel with a concentration of 25 ppm exhibited a reduction of 33.5% in ignition delay time and a decrease of 9% in critical ignition power. Furthermore, the emission spectra characteristics of the pure propellant and nano-fuel were analyzed, indicating that alumina nanoparticles notably enhanced the thermal decomposition of ADN and the exothermic reaction of methanol combustion. This study provides an effective approach to improve the evaporation and combustion performance of ADN-based liquid propellants, offering potential possibilities for future applications.
A discriminative multiscale feature extraction network for facial expression recognition in the wild
Authors: Wen Xiaoyu , Zhou Juxiang , Gan Jianhou , Luo Sen 
Published: January 2024

Abstract
Driven by advancements in deep learning technologies, substantial progress has been achieved in the field of facial expression recognition over the past decade, while challenges remain brought about by occlusions, pose variations and subtle expression differences in unconstrained (wild) scenarios. Therefore, a novel multiscale feature extraction method is proposed in this paper, that leverages convolutional neural networks to simultaneously extract deep semantic features and shallow geometric features. Through the mechanism of channel-wise self-attention, prominent features are further extracted and compressed, preserving advantageous features for distinction and thereby reducing the impact of occlusions and pose variations on expression recognition. Meanwhile, inspired by the large cosine margin concept used in face recognition, a center cosine loss function is proposed to avoid the misclassification caused by the underlying interclass similarity and substantial intra-class feature variations in the task of expression recognition. This function is designed to enhance the classification performance of the network through making the distribution of samples within the same class more compact and that between different classes sparser. The proposed method is benchmarked against several advanced baseline models on three mainstream wild datasets and two datasets that present realistic occlusion and pose variation challenges. Accuracies of 89.63%, 61.82%, and 91.15% are achieved on RAF-DB, AffectNet and FERPlus, respectively, demonstrating the greater robustness and reliability of this method compared to the state-of-the-art alternatives in the real world.
Dynamics of interfacial charge transfer between CsPbBr3 perovskite nanocrystals and molecular acceptors for photodetection application
Authors: Mamgain Swati , Yella Aswani 
Published: January 2024

Abstract
Perovskite nanocrystals (NCs) recently emerged as a suitable candidate for optoelectronic applications because of its simplistic synthesis approach and superior optical properties. For better device performance, the effective absorption of incident photons and the understanding of charge transfer (CT) process are the basic requirements. Herein, we investigate the interfacial charge transfer dynamics of CsPbBr3 NCs in the presence of different molecular acceptors; 7,7,8,8-Tetracyanoquinodimethane (TCNQ) and 11,11,12,12 tetracyanonaphtho-2,6-quinodimethane (TCNAQ). The vivid change in CT dynamics at the interfaces of NCs and two different molecular acceptors (TCNQ and TCNAQ) has been observed. The results demonstrate that the ground state complex formation in the presence of TCNQ acts as additional driving force to accelerate the charge transfer between the NCs and molecular acceptor. Moreover, this donor (NCs)-acceptor (TCNQ, TCNAQ) system results in the higher absorption of incident photons. Finally, the photo detector based on CsPbBr3-TCNQ system was fabricated for the first time. The device exhibited a high on–off ratio (104). Furthermore, the CsPbBr3-TCNQ photodetector shows a fast photoresponse times of 180 ms/110 ms (rise/decay time) with a specific detectivity (D*) of 5.2 × 1011 Jones. The simple synthesis and outstanding photodetection abilities of this perovskite NCs-molecular acceptor system make them potential candidates for optoelectronic applications.
Silicene growth mechanisms on Au(111) and Au(110) substrates
Authors: Barboza Alexandre M , da Silva-Santos José A , Aliaga Luis C R , Bastos Ivan N , Faria Daiara F 
Published: January 2024

Abstract
Despite the remarkable theoretical applications of silicene, its synthesis remains a complex task, with epitaxial growth being one of the main routes involving depositing evaporated Si atoms onto a suitable substrate. Additionally, the requirement for a substrate to maintain the silicene stability poses several difficulties in accurately determining the growth mechanisms and the resulting structures, leading to conflicting results in the literature. In this study, large-scale molecular dynamics simulations are performed to uncover the growth mechanisms and characteristics of epitaxially grown silicene sheets on Au(111) and Au(110) substrates, considering different temperatures and Si deposition rates. The growth process has been found to initiate with the nucleation of several independent islands homogeneously distributed on the substrate surface, which gradually merge to form a complete silicene sheet. The results consistently demonstrate the presence of a buckled silicene structure, although this characteristic is notably reduced when using an Au(111) substrate. Furthermore, the analysis also focuses on the quality and growth mode of the silicene sheets, considering the influence of temperature and deposition rate. The findings reveal a prevalence of the Frank–van der Merwe growth mode, along with diverse forms of defects throughout the sheets.
Microfabrication of piezoelectric MEMS based on thick LiNbO3 single-crystal films
Authors: Ouhabaz Merieme , Belharet Djaffar , Micard Quentin , Costanza Mario , Giuffrida Giada , Bartasyte Ausrine , Trigona Carlo , Margueron Samuel 
Published: January 2024

Abstract
Microfabrication procedure of piezoelectric micro electro-mechanical systems based on 5 μm thick LiNbO3 films on SiO2/Si substrate at wafer scale including deep dry etching of thick LiNbO3 films by implementing pulsed mode of Ar/SF6 gas was developed. In particular, two (YXlt)/128°/90°LiNbO3-Si cantilevers with tip mass were fabricated and characterized in terms of resonance frequency (511 and 817 Hz), actuation and acceleration sensing capabilities. The quality factor of 89.5 and the electromechanical coupling of 4.8% were estimated from measured frequency dependency of electrical impedance, fitted by using Butterworth–Van Dyke model. The fabricated piezoelectric micro-electro-mechanical systems have demonstrated highly linear displacement with good sensitivity (5.28 ± 0.02 μm V−1) as a function of applied voltage and high sensitivity to vibrations of 667 mV g−1 indicating a suitability of the structure for actuation purposes and for acceleration or frequency sensing with high precision, respectively.
Data-driven plasma science based plasma etching process design in OLED mass production referring to PI-VM
Authors: Park Seolhye , Seong Jaegu , Park Yoona , Noh Yeongil , Lee Haneul , Bae Namjae , Roh Ki-Baek , Seo Rabul , Song Bongsub , Kim Gon-Ho 
Published: January 2024

Abstract
The production efficiencies of organic light emitting diode (OLED) displays and semiconductor manufacturing have been dramatically improving with the help of plasma physics and engineering technology by utilizing a process monitoring methodology based on physical domain knowledge. This domain knowledge consists of plasma-heating and sheath physics, plasma chemistry, and plasma-material surface reaction kinetics. They were applied to the plasma information based virtual metrology (PI-VM) algorithm with the plasma diagnostics and noticeably enhanced process prediction performance by parameterizing plasma information (PI) in various processes of OLED display and semiconductor manufacturing fabs. PI-VM has shown superior process prediction accuracy, which can trace the states of processing plasmas as an application of data-driven plasma science compared to the classical statistics and machine learning-based virtual metrologies; thus, various plasma processes have been managed and controlled with the help of the PI-VM models. More than this, we have adopted the PI-VM model to optimize the patterning architecture and plasma processes simultaneously. The best combination of the etching pattern structure and plasma condition was adjustable based on the detailed understanding of the angular distribution of sputtered atoms from the etching target surface and their interaction with the plasma sheath based on the PI-VM modeling for etching profile failure prediction.
Improvement of core heat transport in NBI plasmas of heliotron J using high-intensity gas puffing
Authors: Wang C , Kobayashi S , Nagasaki K , Qiu D , Luo M , Zhang P , Watanabe K Y , Seki R , Miyashita A , Kondo Y , Inagaki S , Kin F , Minami T , Kado S , Ohshima S , Konoshima S , Mizuuchi T , Okada H 
Published: January 2024

Abstract
Controlling the heat transport profile is important for high performance in magnetically confined fusion plasmas. In this study, improved electron heat transport was achieved in neutral beam injection plasmas by applying high-intensity gas puffing (HIGP) on a stellarator/heliotron device called Heliotron J. Compared with conventional gas puffing (GP) fueling discharge, a higher and more peaked electron temperature profile was obtained, and the core ion temperature was slightly higher but similarly shaped. Using similar parameters, the electron density profile for HIGP remained similar and differed from the hollow density profile observed in electron cyclotron heating-eIBT plasma. Transport analysis using the FIT3D and TR-snap codes showed a clear reduction in the effective electron heat transport coefficient in the plasma core region. However, more detailed experiments are required to understand the mechanisms underlying this improvement fully.