bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developmental care pathway for hospitalised infants with CHD: on behalf of the Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac Neurodevelopmental Outcome Collaborative
Authors: Lisanti Amy J. , Vittner Dorothy J. , Peterson Jennifer , Van Bergen Andrew H. , Miller Thomas A. , Gordon Erin E. , Negrin Karli A. , Desai Hema , Willette Suzie , Jones Melissa B. , Caprarola Sherrill D. , Jones Anna J. , Helman Stephanie M. , Smith Jodi , Anton Corinne M. , Bear Laurel M. , Malik Lauren , Russell Sarah K. , Mieczkowski Dana J. , Hamilton Bridy O. , McCoy Meghan , Feldman Yvette , Steltzer Michelle , Savoca Melanie L. , Spatz Diane L. , Butler Samantha C. 
Published: March 2023

AbstractInfants and children born with CHD are at significant risk for neurodevelopmental delays and abnormalities. Individualised developmental care is widely recognised as best practice to support early neurodevelopment for medically fragile infants born premature or requiring surgical intervention after birth. However, wide variability in clinical practice is consistently demonstrated in units caring for infants with CHD. The Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac Neurodevelopmental Outcome Collaborative, formed a working group of experts to create an evidence-based developmental care pathway to guide clinical practice in hospital settings caring for infants with CHD. The clinical pathway, “Developmental Care Pathway for Hospitalized Infants with Congenital Heart Disease,” includes recommendations for standardised developmental assessment, parent mental health screening, and the implementation of a daily developmental care bundle, which incorporates individualised assessments and interventions tailored to meet the needs of this unique infant population and their families. Hospitals caring for infants with CHD are encouraged to adopt this developmental care pathway and track metrics and outcomes using a quality improvement framework.
What are the digitally enabled psychosocial interventions delivered by trained practitioners being offered to adults with life-shortening illnesses and palliative care needs and their informal and professional caregivers? A scoping review
Authors: Wood Michèle , Walshe Catherine , McCullagh Angela 
Published: March 2023

AbstractObjectivesComputer-mediated and telephone communication connecting professionals and patients (eHealth) is well established. Yet there is little information about psychosocial interventions delivered by trained practitioners for a palliative care population. The aim is to describe digitally enabled psychosocial interventions offered to adults with life-shortening or terminal illnesses and carers/families receiving palliative care, and how these are delivered and evaluated.MethodsUsing Joanna Briggs Institute scoping review methodology, 4 databases (MEDLINE, CINAHL, PsycINFO, and Academic Search Ultimate) were searched (January 2011–April 2021). Inclusion criteria: (a) any design reporting and (b) psychosocial interventions delivered digitally by palliative care health and social care practitioners to (c) adults with life-shortening illnesses.ResultsIncluded papers (n=16) were from Europe ((n=8), Asia (n=2), and the USA (n=6). Research designs encompassed pre- and post-studies, randomized control trials, feasibility, and pilot studies. Tools evaluated psychological, somatic, functional, and psychosocial outcomes. Underpinning approaches included cognitive behavioral therapy, Erikson’s life review, coping skills training, psychoeducation, problem-solving therapy, counseling, emotional support and advice, and art therapy. Delivery tools used were telephones, text messages and emails, websites, videos, workbooks, and compact discs. Practitioners included counselors, psychotherapists, psychologists, art therapists, social workers, registered nurses, and trainees. Patients had Alzheimer’s disease and related dementias, advanced cancers, chronic obstructive pulmonary disease, and heart failure.Significance of resultsCOVID-19 has accelerated the usages of digitally enabled psychosocial interventions. Evidence indicates a growing interest in hybrid, novel, synchronous, and asynchronous digital psychosocial interventions for adults with life-shortening illnesses and their caregivers receiving palliative care.
A cognitive behavioral therapy–based intervention to address body image in patients with facial cancers: Results from a randomized controlled trial
Authors: Chopra Deepti , Shinn Eileen , Teo Irene , Bordes Mary Catherine , Reece Gregory P. , Liu Jun , Markey Mia K. , Weber Randal , Fingeret Michelle C. 
Published: March 2023

AbstractObjectivesBody image adjustment is a crucial issue for patients with facial cancer, but body image–specific interventions are scarce. We report results of a novel psychotherapeutic intervention to address body image concerns during acute postoperative recovery following facial reconstructive surgery. Our primary aims were to evaluate the intervention’s feasibility, acceptability, and efficacy on body image concerns, psychological distress, and quality of life (QOL).MethodsAdults with facial cancers who endorsed body image concerns were recruited to participate in a randomized controlled trial. The intervention group participated in 4 in-person counseling sessions. The control group received an educational booklet and a brief phone call. Participants completed measures of body image, distress, and QOL at baseline and at the 4-week follow-up to assess the impact of the intervention. Intervention outcomes were assessed with 2 sample t-tests or Mann–Whitney U tests as appropriate.ResultsTwenty-nine participants completed both the baseline and follow-up assessments. The intervention demonstrated good feasibility with a high retention rate (79%), visit completion rate (81%), and high satisfaction scores (75% reported mean satisfaction score of >3). Intervention did not result in an observed statistically significant difference in reduction in body image dissatisfaction and disturbance, psychological distress, or improvement in QOL compared with the control group. However, intervention resulted in statistically significant difference in perceived social impact (−1 vs. −8.3, p = 0.033) compared to control group.Significance of resultsOur study highlights the potential clinical benefits of a novel psychotherapeutic intervention that targets body image concerns and suggests the need for further evaluation.
Soziale Kompetenzen im Selbstbericht bei Kindern der Primarstufe
Authors: Hank Corinna , Huber Christian 
Published: March 2023

Zusammenfassung: Die Relevanz sozialer Kompetenzen bei Kindern für schulischen Erfolg und psychische Gesundheit ist vielfach belegt worden. Trotz fehlender einheitlicher Definition des Begriffs herrscht Einigkeit über die mehrdimensionale Struktur sozialer Kompetenzen. Einige Teilkompetenzen wie z. B. Empathie lassen sich aufgrund fehlender sichtbarer Ausprägung unzureichend beobachten. Eine Erfassung sozialer Kompetenzen aus der Fremdperspektive sollte dementsprechend um eine differenzierte Selbstperspektive ergänzt werden. Insbesondere für den Primarbereich fehlen Inventare, die die Selbstperspektive des Individuums berücksichtigen. Die Social Skill Improvement System Rating Scales (SSIS-RS) bietet als englischsprachiges Inventar diese Möglichkeit. Mithilfe von n = 525 Schülerinnen und Schülern wird in einer ersten Studie die Konstruktvalidität einer deutschen Übersetzung der SSIS-RS untersucht. In einer zweiten Studie wird die Retestreliabilität nach vier Wochen und die Kriteriumsvalidität mithilfe von n = 289 Schülerinnen und Schülern überprüft. Für die deutsche Version zeigt sich eine mit dem Original vergleichbare siebenfaktorielle Struktur sozialer Kompetenzen sowie vergleichbare Skaleneigenschaften und Zusammenhänge zu Fremdurteilen. Dies legt nahe, dass die SSIS-RS sich auch im deutschen Sprachraum für den Selbstbericht im Primarbereich gewinnbringend einsetzen lässt.
Overview of the Demonstration and Science Experiments (DSX) Mission
Authors: Johnston W. R. , Ginet G. P. , Starks M. J. , McCollough J. P. , Sanchez J. C. , Song P. , Galkin I. A. , Inan U. S. , Lauben D. S. , Tu J. , Reinisch B. W. , Linscott I. R. , Roche K. , Stelmash S. , Allgeier S. , Lambour R. , Schoenberg J. , Gillespie W. , Farrell W. M. , Xapsos M. A. , Roddy P. A. , Lindstrom C. D. , Pedinotti G. F. , Huston S. L. , Albert J. M. , Sinclair A. J. , Davis L. D. , Carilli J. A. , Cooke D. L. , Parker C. W. 
Published: March 2023

AbstractThe Air Force Research Laboratory's Demonstration and Science Experiments (DSX) mission investigated wave‐particle interactions and the particle and space environment in Medium Earth Orbit (MEO) from June 2019 to May 2021. Its Wave‐Particle Interactions Experiment conducted over 1,300 active high power very low frequency transmissions in the radiation belts providing observations of antenna performance and signal propagation from a controlled source. This included hundreds of transmissions while in magnetic conjunction with other satellites. The Loss Cone Imager and Space Weather Experiment suite observed electron and proton populations over a wide energy range, with several of these instruments providing pitch‐angle resolution. The Space Environmental Effects Experiment investigated effects of the MEO environment on electronics and materials. The Adaptive Controls Experiment demonstrated technology for on‐board identification and control of large structure vibrational modes. We describe the DSX instrument capabilities and on orbit performance, science planning and operations for carrying out an array of active and passive experiments, and some initial results in brief. We also describe plans for further work and data release.
High resolution functional analysis and community structure of photogranules
Authors: Trebuch Lukas M , Bourceau Olivia M , Vaessen Stijn M F , Neu Thomas R , Janssen Marcel , de Beer Dirk , Vet Louise E M , Wijffels René H , Fernandes Tânia V 
Published: March 2023

Abstract
Photogranules are spherical aggregates formed of complex phototrophic ecosystems with potential for “aeration-free” wastewater treatment. Photogranules from a sequencing batch reactor were investigated by fluorescence microscopy, 16S/18S rRNA gene amplicon sequencing, microsensors, and stable- and radioisotope incubations to determine the granules’ composition, nutrient distribution, and light, carbon, and nitrogen budgets. The photogranules were biologically and chemically stratified, with filamentous cyanobacteria arranged in discrete layers and forming a scaffold to which other organisms were attached. Oxygen, nitrate, and light gradients were also detectable. Photosynthetic activity and nitrification were both predominantly restricted to the outer 500 µm, but while photosynthesis was relatively insensitive to the oxygen and nutrient (ammonium, phosphate, acetate) concentrations tested, nitrification was highly sensitive. Oxygen was cycled internally, with oxygen produced through photosynthesis rapidly consumed by aerobic respiration and nitrification. Oxygen production and consumption were well balanced. Similarly, nitrogen was cycled through paired nitrification and denitrification, and carbon was exchanged through photosynthesis and respiration. Our findings highlight that photogranules are complete, complex ecosystems with multiple linked nutrient cycles and will aid engineering decisions in photogranular wastewater treatment.
Psychological distress and its associated factors among patients with chronic obstructive pulmonary disease in Hunan, China: a cross-sectional study
Authors: Wang Chunyu , Yan Jin , Ma Chenjuan 
Published: March 2023

AbstractPatients with chronic obstructive pulmonary disease (COPD) experience a high risk for psychological distress. Understanding what factors contributing to this risk is vital for developing effective interventions to address COPD-related psychological distress. To examine psychological distress and its associated factors in COPD patients in China. This is a cross-sectional study. Using cluster random sampling, 351 COPD patients participated in and completed a questionnaire survey from June 2021 to January 2022. Instruments used in this research included a self-designed social-demographic questionnaire, the Kessler Psychological Distress Scale (K10), the COPD Knowledge Question, the Type D Personality Scale (DS-14), the COPD Assessment Test (CAT), and modified Medical Research Council Dyspnea Score (mMRC). Multivariate linear regressions were used in the final analysis. Among 351 COPD patients, 307 (or 87.5%) had psychological distress. Our univariate analysis indicated that psychological distress scores were significantly associated with monthly household income (F = 2.861, P < 0.05), exercise frequency (F = 4.039, P < 0.01), type D personality (t = 5.843, P < 0.01), years with COPD (rs = 0.156, P < 0.01), frequency of acute exacerbation (rs = 0.114, P < 0.05), mMRC score (rs = 0.301, P < 0.01), and CAT score (rs = 0.415, P < 0.01). Our final multivariate linear regression showed that exercise frequency (coefficient = −1.012, P < 0.01) was an independent protective factor of psychological distress in COPD patients, while type D personality (coefficient = 3.463, P < 0.001), mMRC score (coefficient = 1.034, P < 0.001) and CAT score were independent risk factors (coefficient = .288, P < 0.001). No relationship was observed between psychological distress and knowledge of COPD. Psychological distress is commonly presented among COPD patients in China. Findings from this study suggest promoting and increasing frequency of exercise will be beneficial in reducing psychological distress among COPD patients. This study also highlights the importance of assessing personality type, dyspnea, and impact of COPD on daily living for preventing and managing psychological distress due to COPD. In addition, Given the high rate of psychological distress among COPD patients, policymakers should consider making mental health resources easily available and accessible to this vulnerable population.
A retrospective study of differences in patients’ anxiety and satisfaction between paper-based and computer-based tools for “Shared Decision-Making”
Authors: Chen Jung-Chen , Tsai Shang-Feng , Liu Shih-An 
Published: March 2023

AbstractWe aimed to investigate differences in patients’ anxiety and satisfaction between patients undergoing paper-based patient decision aid (PDA) for shared decision-making (SDM) and those receiving computer-based PDA. We retrospectively collected questionnaires before and after SDM. Basic demographic data as well as anxiety, satisfaction, knowledge acquisition, and participation in SDM were recorded. We divided our population into subgroups according to use of paper-based or computer-based PDA. In addition, Pearson correlation analysis was applied to assess the relationships among variables. In total, 304 patients who visited our Division of Nephrology were included in the final analysis. Overall, over half of the patients felt anxiety (n = 217, 71.4%). Near half of the patients felt a reduction in anxiety after SDM (n = 143, 47.0%) and 281 patients (92.4%) were satisfied with the whole process of SDM. When we divided all the patients based on use of paper-based or computer-based PDA, the reduction of anxiety level was greater in the patients who underwent paper-based PDA when compared with that of those who underwent computer-based PDA. However, there was no significant difference in satisfaction between the two groups. Paper-based PDA was as effective as computer-based PDA. Further studies comparing different types of PDA are warranted to fill the knowledge gaps in the literature.
Three new MnII–[MoIII(CN)7]4− molecular magnets constructed from chiral bidentate chelating ligands
Authors: Xu Fang-Xue , Li Ying-Lian , Wei Xiao-Qin , Shao Dong , Shi Le , Wei Hai-Yan , Wang Xin-Yi 
Published: March 2023

Three new 2D MnII-[MoIII(CN)7]4− magnets constructed from chiral bidentate ligands have been synthesized and characterized. The relationship between the magnetic properties and the anisotropic magnetic interactions was analyzed and discussed.
Vector quantization using k‐means clustering neural network
Authors: Im Sio‐Kei , Chan Ka‐Hou 
Published: March 2023

AbstractVector Quantization (VQ) is a clustering problem in the fields of signal processing, source coding, information theory etc. Taking advantage of recent advances in the field of deep neural networks, this paper investigates the performance between VQ clustering problems and deep neural networks. A k‐means‐based deep network architecture for VQ is presented to solve clustering problems. By applying the deep learning implementation of convergence optimization, a clustering neural network (algorithm) for the purpose of VQ is proposed. In practice, the proposed network quantifies the vectors over a set of stacked neural layers, overcoming the exponential complexity problem of VQ methods by trainable parameters. Experiments show that the work can improve the results without human intervention, and outperforms traditional clustering methods modified for VQ.
Analysis and validation of multi‐device interleaved DC‐DC boost converter for electric vehicle applications
Authors: Alzahrani Ahmad , Devarajan Gunapriya , Subramani Sivaranjani , Vairavasundaram Indragandhi , Ogbuka Cosmas Uchenna 
Published: March 2023

AbstractIn Electric Vehicle (EV) application, voltage conversion is significant to obtain the desired operating voltage from the source voltage. A conventional boost converter can handle such applications, but it may add losses throughout the conversion process. This work focuses on the design and implementation of a multi device Interleaved DC‐DC converter with greater voltage gain, lower voltage stress across the switch, and improved efficiency when compared to the standard Boost converter and conventional Interleaved Converter. The suggested converter has three times the voltage gain of a standard Boost DC‐DC converter. These converters are used in applications that demand a constant DC voltage, such as electric vehicles. The proposed converter's mathematical modelling and modes of operation are discussed. The proposed DC‐DC converter's feasibility is validated using real‐time simulation (OPAL‐RT), and the results are presented in detail.
A CFAR‐like detector based on neural network for simulated high‐frequency surface wave radar data
Authors: da Costa Rômulo Fernandes , da Silva de Medeiros Diego , Saotome Osamu , Machado Renato 
Published: March 2023

AbstractThis article presents a deep neural network‐based constant false alarm rate (NNB‐CFAR) detector for simulated high‐frequency surface wave radar (HFSWR) data. A deep neural network is trained to identify fluctuation parameters of each cell of a range‐Doppler power spectrum based on the patterns present in the neighbouring cells. The estimated parameters are then used for calculating a detection threshold with a user‐specified probability of false alarm. To train the network, a realistic model of HFSWR echoes is used for generating a large labelled range‐Doppler image dataset, including many possible clutter scenarios and interfering target echoes. Several CFAR windows are extracted from the training range‐Doppler dataset and used as training data. The neural network is trained to replicate the output of a maximum likelihood estimator based on the reference cells of the CFAR window. The NNB‐CFAR algorithm was then compared to traditional CFAR algorithms by identifying targets in the second set of simulated range‐Doppler images. The probability of detection was also experimentally measured in the context of HFSWR for all algorithms. Results show that the technique can significantly improve detection rates amid strong clutter.
The Voice of the Patient and the Electronic Health Record
Authors: Payne Thomas H. , Lehmann Christoph U. , Zatzick Alina K. 
Published: March 2023

AbstractThe patient's voice, which we define as the words the patient uses found in notes and messages and other sources, and their preferences for care and its outcomes, is too small a part of the electronic health record (EHR). To address this shortcoming will require innovation, research, funding, perhaps architectural changes to commercial EHRs, and that we address barriers that have resulted in this state, including clinician burden and financial drivers for care. Advantages to greater patient voice may accrue to many groups of EHR users and to patients themselves. For clinicians, the patient's voice, including symptoms, is invaluable in identifying new serious illness that cannot be detected by screening tests, and as an aid to accurate diagnosis. Informaticians benefit from greater patient voice in the EHR because it provides clues not found elsewhere that aid diagnostic decision support, predictive analytics, and machine learning. Patients benefit when their treatment priorities and care outcomes considered in treatment decisions. What patient voice there is in the EHR today can be found in locations not usually used by researchers. Increasing the patient voice needs be accomplished in equitable ways available to people with less access to technology and whose primary language is not well supported by EHR tools and portals. Use of direct quotations, while carrying potential for harm, permits the voice to be recorded unfiltered. If you are a researcher or innovator, collaborate with patient groups and clinicians to create new ways to capture the patient voice, and to leverage it for good.
Amplification of near field radiation at surfaces of pure dielectric domain with anti-reflection films and photonic crystal structures
Authors: Wen Sy-Bor , Jakkinapalli Aravind 
Published: March 2023

Abstract
With chemical stability under high temperatures, dielectric materials can be idealized thermal emitters for different energy applications. However, dielectric materials do not support surface waves at near-infrared ranges for longer-distance thermal photon tunneling, which limits their applications in near-field thermal radiation. It is demonstrated in this study that thermal field amplification at near-infrared wavelengths at dielectric surfaces could be achieved through asymmetric Fabry–Perot resonance with anti-reflection coatings or 1D photonic crystal type structures. ⩾100 nm near-infrared thermal photon tunneling can be achieved when these thin film structures are added to the emitter and the collector surfaces. Among these two thin film structures, 1D photonic crystal type periodic structures constructed with the same high refractive index material as the emitter/collector material allow near-field thermal photon tunneling at large parallel wavenumbers. Moreover, the field amplification can be increased by adding more 1D photonic crystal layers to achieve even longer distances near field thermal photon tunneling.
Topological driven linear magnetoresistance in Sb-doped MnBi2Te4
Authors: Zhong Zhihao , Yi Enkui , Tang Nannan , Zhao Yue , Guo Donghui , Shen Bing , Zhong Dingyong , Wang Huichao 
Published: March 2023

Abstract
Linear magnetoresistance (LMR) is an attractive phenomenon that shows potential for uncovering novel physics and gauss sensor applications. Here we report a Fermi-level-sensitive LMR by doping Sb into antiferromagnetic topological insulator (TI) MnBi2Te4 crystals. The LMR is most remarkable when the Fermi level is close to the charge neutral point and the bulk carriers are largely suppressed. Our detailed analyses reveal that the slope of the LMR shows linear dependence on the inverse of carrier density. The results are quantitatively consistent with the quantum LMR model based on the surface state of a TI and thus reveal a transport signature of the topological surface state. Our work provides crucial insights into the understanding of the essential MR behavior and the surface state in MnBi2Te4.