bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative patient‐centered multimedia education in head and neck cancer patients: A pilot study
Authors: Amanian Ameen , Tran Khanh Linh , Wang Edward , Chotwani Himanshu , Prisman Eitan 
Published: November 2022

AbstractObjectiveIt is hypothesized that patients who are actively provided with more treatment‐related education may report increased satisfaction and have improved overall outcomes. The aim of this study was to demonstrate the feasibility of an audiovisual education platform in patients undergoing head and neck surgery and to investigate whether patients using this module reported increased satisfaction.MethodsThis was a prospective pilot study of patients undergoing major head and neck reconstructive surgery who were randomized to either (1) control group or (2) intervention (i.e., in‐patient audiovisual educational module). Both study groups then completed a discharge survey.ResultsTotal 35 patients were recruited into the study (N = 16 Intervention; N = 19 Control). Patients in the intervention group reported an increased satisfaction with their overall outcome. Exactly 87.5% (14 of 16) found the intervention to be “Extremely useful,” “Quite useful,” or “Sometimes useful.” Exactly 68.8% (11 of 16) would recommend similar patients to receive the same educational intervention. However, there was no significant difference in patients' perceived level of involvement amongst the two groups. For future improvements to the intervention, patients requested further information such as how to look after themselves, postoperative radiation, course in hospital, and nutrition.ConclusionThis pilot study demonstrated the feasibility of an audiovisual education platform in the postoperative setting for patients undergoing major head and neck reconstructive surgery. Although most patients found the module useful, future steps will incorporate patient feedback to further improve the educational platform and confirm the current preliminary impressions in prospective studies.Level of Evidence1b
Tribological performance study of oil‐soluble ILs as lubricant additives by the four‐ball method
Authors: Yang Zhaozhao , Liang Yijing , Huang Qing , Wang Xingwei , Zhou Chunyu , Wang Ruozheng , Yan Xiaoyan , Yu Bo , Yu Qiangliang , Cai Meirong , Zhou Feng 
Published: November 2022

AbstractFour oil‐soluble ionic liquids (ILs) with different structures were synthesised: N88816‐Doss (N/S), P88816‐Doss (P/S), N88816 phosphate (N/P) and P88816 phosphate (P/P). The effects of the four ILs synthesised with conventional lubricating additives isobutylene sulfide (T321), zinc dialkyl dithiophosphate (ZDDP) and tricresyl phosphate (T306) as PAO10 additives on the physicochemical properties of the prepared oil samples were systematically investigated at the same dosing rates. The antifriction and antiwear properties and extreme pressure performance of oil samples prepared by four ILs and three conventional additives were investigated by a four‐ball friction and a wear testing machine. The results showed that P/S improved the thermal stability of PAO10. The addition of N/S significantly improved the tribological performance of PAO10 at room temperature and under heavy loading. The coefficient of friction was reduced by 90%, the wear spot diameter is decreased by 28%, the last non‐seizure load PB is doubled, and the resistance to sintering did not improve.
Service for specialized and digitalized: Consumer switching perceptions of E‐commerce in specialty retail
Authors: Liu Anne Yenching , Lin Sungmin 
Published: November 2022

AbstractThis study explored factors influencing customers' perceptions and behaviors under the fact of low e‐commerce adoption rate in specialty retail. This research uses e‐commerce service and switching costs to determine customer behaviors in the e‐commerce of specialty retail. The results showed that e‐commerce client interface and technology have no effects on customers' acceptance of the new business relationship online, e‐commerce client interface increases customers' acceptance of setup costs, and also, e‐commerce technology increases customers' acceptance of setup costs and learning costs in specialty retail. This study found important factors affecting customers' perceptions and behaviors in the e‐commerce of specialty retail.
Designing and simulation of photonic crystal fiber sensor based on plasma resonance with high sensitivity and resolution
Authors: Fazeli Mahdi , Horri Ashkan , Tavakoli Mohammad B. 
Published: November 2022

AbstractThe present study proposes a photonic crystal fiber sensor based on a plasmon resonance. A thin gold metal layer was used as a plasmonic‐active material to produce the surface plasmons to detect changes in the refractive index (RI) around it. The performance of the proposed sensor is evaluated by the finite‐element method for various refractive indices. The sensitivity of this sensor ranges from 3740 to 51227 nm/RIU for the RI range of 1.36–1.42 in the wavelength range of 700–1900 nm. Within this range, we observed the highest resolution, the best FOM, and amplitude sensitivity with values of 1.95 × 10−6 RIU, 883.224 RIU−1, and 2328.59 RIU−1, respectively. This sensor has a simple structure and a better performance as compared with available sensors. The present study opens a new window to studies in the fields of biological materials, chemical materials, and the environment.
Ensemble learning and personalized training for the improvement of unsupervised deep learning‐based synthetic CT reconstruction
Authors: Olberg Sven , Choi Byong Su , Park Inkyung , Liang Xiao , Kim Jin Sung , Deng Jie , Yan Yulong , Jiang Steve , Park Justin C. 
Published: November 2022

AbstractBackgroundThe growing adoption of magnetic resonance imaging (MRI)‐guided radiation therapy (RT) platforms and a focus on MRI‐only RT workflows have brought the technical challenge of synthetic computed tomography (sCT) reconstruction to the forefront. Unpaired‐data deep learning‐based approaches to the problem offer the attractive characteristic of not requiring paired training data, but the gap between paired‐ and unpaired‐data results can be limiting.PurposeWe present two distinct approaches aimed at improving unpaired‐data sCT reconstruction results: a cascade ensemble that combines multiple models and a personalized training strategy originally designed for the paired‐data setting.MethodsComparisons are made between the following models: (1) the paired‐data fully convolutional DenseNet (FCDN), (2) the FCDN with the Intentional Deep Overfit Learning (IDOL) personalized training strategy, (3) the unpaired‐data CycleGAN, (4) the CycleGAN with the IDOL training strategy, and (5) the CycleGAN as an intermediate model in a cascade ensemble approach. Evaluation of the various models over 25 total patients is carried out using a five‐fold cross‐validation scheme, with the patient‐specific IDOL models being trained for the five patients of fold 3, chosen at random.ResultsIn both the paired‐ and unpaired‐data settings, adopting the IDOL training strategy led to improvements in the mean absolute error (MAE) between true CT images and sCT outputs within the body contour (mean improvement, paired‐ and unpaired‐data approaches, respectively: 38%, 9%) and in regions of bone (52%, 5%), the peak signal‐to‐noise ratio (PSNR; 15%, 7%), and the structural similarity index (SSIM; 6%, <1%). The ensemble approach offered additional benefits over the IDOL approach in all three metrics (mean improvement over unpaired‐data approach in fold 3; MAE: 20%; bone MAE: 16%; PSNR: 10%; SSIM: 2%), and differences in body MAE between the ensemble approach and the paired‐data approach are statistically insignificant.ConclusionsWe have demonstrated that both a cascade ensemble approach and a personalized training strategy designed initially for the paired‐data setting offer significant improvements in image quality metrics for the unpaired‐data sCT reconstruction task. Closing the gap between paired‐ and unpaired‐data approaches is a step toward fully enabling these powerful and attractive unpaired‐data frameworks.
Joint K‐space and Image‐space Parallel Imaging (KIPI) for accelerated chemical exchange saturation transfer acquisition
Authors: Zu Tao , Sun Yi , Wu Dan , Zhang Yi 
Published: November 2022

PurposeTo develop an auto‐calibrated technique by joint K‐space and Image‐space Parallel Imaging (KIPI) for accelerated CEST acquisition.Theory and MethodsThe KIPI method selects a calibration frame with a low acceleration factor (AF) and auto‐calibration signals (ACS) acquired, from which the coil sensitivity profiles and artifact correction maps are calculated after restoring the k‐space by GRAPPA. Then the other frames with high AF and without ACS can be reconstructed by SENSE and artifact suppression. The signal leakage due to the T2‐decay filtering in k‐space compromises the SENSE reconstruction, which can be corrected by the artifact suppression algorithm of KIPI. The 2D and 3D imaging experiments were done on the phantom, healthy volunteer, and brain tumor patient with a 3T scanner.ResultsThe proposed KIPI method was evaluated by retrospectively undersampled data with variable AFs and compared against existing parallel imaging methods (SENSE/auto, GRAPPA, and ESPIRiT). KIPI enabled CEST frames with random AFs to achieve similar image quality, eliminated the strong aliasing artifacts, and generated significantly smaller errors than the other methods (p < 0.01). The KIPI method permitted an AF up to 12‐fold in both phase‐encoding and slice‐encoding directions for 3D CEST source images, achieving an overall 8.2‐fold speedup in scan time.ConclusionKIPI is a novel auto‐calibrated parallel imaging method that enables variable AFs for different CEST frames, achieves a significant reduction in scan time, and does not compromise the accuracy of CEST maps.
Reliability of pictorial Longshi Scale for informal caregivers to evaluate the functional independence and disability
Authors: Liu Xiangxiang , Gao Yan , Zhao Jingpu , Zhou Mingchao , Wan Li , Nie Guohui , Wang Yulong 
Published: November 2022

AbstractAimThe pictorial Longshi Scale was designed to assess patients' functional ability in the Chinese context, which is gradually used by some informal caregivers. However, its reliability compared with healthcare professionals has not been examined.DesignA multi‐centre cross‐sectional study conducted in 24 Chinese hospitals.MethodsWe recruited patients undergoing rehabilitation treatment and informal caregiver dyads. Informal caregivers and healthcare professionals evaluated patients' functional ability using the Longshi Scale according to three levels (bedridden, domestic and community). The Kappa coefficient and McNemar‐Bowker test were used to examine the consistency and accuracy between the two parallel assessments.ResultsThis study involved 947 patients (mean age: 46.07 ± 11.72 years) and informal caregiver dyads (64.86 ± 12.94 years). Most patients were males (66.3%), while most caregivers were females (60.7%). Over 70% of patients and caregiver dyads had a secondary‐school education and lower. Around 90% of caregivers were relatives (spouse, 42.8%; offspring, 20.7%; siblings: 13.3%; parent, 12.0%) of patients. The agreement in sub‐levels of the Longshi Scale between caregivers and healthcare professionals ranges from 73%–89%, and the corresponding Kappa coefficients range from 0.504–0.786. Caregivers were more likely to assign fewer patients to the bedridden group and more to the domestic group than healthcare professionals. The subgroup analysis by education level indicated that the difference in assigning patients into three degrees of functional disability was only significant in those with primary‐school education, while non‐significant in those with secondary‐school education and higher.ConclusionThe evaluation outcomes of functional ability using the Longshi Scale are similar between informal caregivers and healthcare professionals. However, informal caregivers' education level is a dominant factor in affecting the assessment accuracy compared with healthcare professionals. Informal caregivers with a secondary‐school education and higher are supported to evaluate patients' functional ability independently.
A systematic review of preceptor's experience in supervising undergraduate nursing students: Lessons learned for mental health nursing
Authors: Benny Jessy , Porter Joanne E. , Joseph Bindu 
Published: November 2022

AbstractBackgroundPreceptorship in nursing has been a valued concept in nursing. Speciality area such as mental health nursing has a massive gap in research study. To develop sturdy mental health nursing workforce, it is necessary to conduct more studies.AimThis literature review aims to explore preceptor's experience in precepting undergraduate nursing students in mental health.DesignSystematic review of literature.MethodsThe systematic review was conducted from January 2021 to August 2021. Population of the studies included Registered Nurses supervising nursing students in the clinical area. Only studies conducted in English were included. A systematic search using EBSCO Host databases, CINAHL Complete, MEDLINE APA Psycinfo & APA PsycArticles, has been used in this review paper. Papers were also selected from the citation reference of included papers. The new version of the PRISMA 2020 guidelines used to represent the process of selection of papers has been incorporated as part of this review. The final set of data included 14 original papers meeting the eligibility criteria which involved quantitative (n = 5), qualitative (n = 4) and mixed‐method studies (n = 5).ResultResults were presented under three major themes: time‐consuming, lack of recognition and need extra support. Further research is required in the mental health clinical setting to effectively explore the impact of relationships between preceptors and the preceptees.ConclusionPreceptors reported supervising students in the clinical area has many benefits. However, some challenges they raised were increase in workload, requiring some guidance and acknowledgement from the organization.
Event‐related potential response to drivers' facial expressions in an online car‐hailing scene
Authors: Zhang Ran‐Ran , Hu Yu‐Wei , Zhang Jia‐Rui , Wu Yi‐Xun , Huang Lie‐Yu 
Published: November 2022

AbstractRecognizing facial expressions is crucial for adaptive social interaction. Prior empirical research on facial expression processing has primarily focused on isolated faces; however, facial expressions appear embedded in surrounding scenes in everyday life. In this study, we attempted to demonstrate how the online car‐hailing scene affects the processing of facial expression. This study examined the processing of drivers' facial expressions in scenes by recording event‐related potentials, in which neutral or happy faces embedded in online car‐hailing orders were constructed (with type of vehicle, driver rating, driver surname, and level of reputation controlled). A total of 35 female volunteers participated in this experiment and were asked to judge which facial expressions that emerged in scenes of online car‐hailing were more trustworthy. The results revealed an interaction between facial expression scenes, brain areas, and electrode sites in the late positive potential, which indicated that happy faces elicited larger amplitudes than did neutral ones in the parietal areas and that scenes with happy facial expressions had shorter latencies than did those with neutral ones. As expected, the late positive potential evoked by happy facial expressions in a scene was larger than that evoked by neutral ones, which reflected motivated attention and motivational response processes. This study highlights the importance of scenes as context in the study of facial expression processing.
Effects of 3D virtual reality motionless imagery training program with an avatar
Authors: Moon Kyung‐Ji , Lee Myung‐Chul , Han Kyung‐Hun 
Published: November 2022

AbstractThe present study aimed to explore the effects of motionless imagery training with an avatar in virtual reality (VR) on emotion, cognition, and physiological response changes in healthy adults. Participants were 30 healthy adults aged between 19 and 35 years. All participants were randomly divided into the experimental group (n = 18), which executed the imagery training with an avatar in VR, or the control group (n = 12), which merely experienced the VR without an avatar. Both groups underwent the intervention, a 20‐min session, 3 times a week for 6 weeks. VR experience questionnaires and physiological response changes were measured at pre‐ and post‐test and emotional states and cognition tests were measured at pre‐, post‐, and follow‐up test. The experimental group showed no significant changes in the Presence Questionnaire (PQ) and the Simulator Sickness Questionnaire (SSQ) after the intervention while the control group showed a significant decrease in the PQ after the intervention. In all emotional states, there were no significant differences in the interaction between times and groups. A significant main effect of time was revealed in all cognition tests except the delayed recall and the delayed recognition in K‐Auditory Verbal Learning Test (K‐AVLT). In physiological response changes, the experimental group showed significant improvements in the electromyogram (EMG) at rectus femoris on the left side after the intervention. Thus, imagery training with an avatar in VR can be considered to be effective for enhancements of cognitions and physiological response changes.
Positive predictive value of a single nucleotide polymorphism (SNP)‐based NIPT for aneuploidy in twins: Experience from clinical practice
Authors: Kantor Valerie , Mo Lihong , DiNonno Wendy , Howard Katherine , Palsuledesai Charuta C. , Parmar Sheetal , Chithiwala Zahabiya , Jelsema Russ , Xu Wenbo , Hedriana Herman L. 
Published: November 2022

AbstractObjectiveTwins account for approximately 1 in 30 live births in the United States. However, there are limited clinical experience studies published in noninvasive prenatal testing (NIPT) for detecting aneuploidies in twins. This study reports the performance of an SNP‐based NIPT in the largest cohort with known outcomes for high‐risk aneuploidy results.MethodThis is a retrospective analysis of 18,984 results from commercial single‐nucleotide polymorphism (SNP)‐based NIPT tests performed in twins between October 2, 2017 and December 31, 2019. Follow‐up for all 211 high‐risk cases was solicited.ResultsFollow‐up outcomes were obtained in 105 cases. Positive predictive values (PPVs) for high‐risk results were 88.7% (63/71, 95% Confidence Interval [CI]: 79.0%–95.0%) for trisomy 21% and 72.7% (8/11, 95% CI: 39.0%–94.0%) for trisomy 18. The results were stratified into monozygotic (MZ) and dizygotic (DZ). The PPVs in MZ were 100% for both trisomy 21 (4/4, 95% CI: 40%–100%) and trisomy 18 (1/1, 95% CI: 2.5%–100%). No trisomy 13 cases were detected in the MZ group. The PPVs in DZ were 88.1% (59/67, 95% CI: 77.8%–94.7%), 70.0% (7/10, 95% CI: 34.8%–93.3%), and 66.7% (2/3, 95% CI: 9.4%–99.2%) for trisomy 21, trisomy 18, and trisomy 13, respectively.ConclusionThe performance of SNP‐based NIPT in this large twin cohort was comparable to previously reported twin NIPT studies. SNP‐based NIPT allows for zygosity‐based PPV assessment.
Antiviral effects of phytochemicals against severe acute respiratory syndrome coronavirus 2 and their mechanisms of action: A review
Authors: Jantan Ibrahim , Arshad Laiba , Septama Abdi Wira , Haque Md. Areeful , Mohamed‐Hussein Zeti‐Azura , Govender Nisha T. 
Published: November 2022

AbstractThe worldwide spreading of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has posed a serious threat to health, economic, environmental, and social aspects of human lives. Currently, there are no approved treatments that can effectively block the virus although several existing antimalarial and antiviral agents have been repurposed and allowed use during the pandemic under the emergency use authorization (EUA) status. This review gives an updated overview of the antiviral effects of phytochemicals including alkaloids, flavonoids, and terpenoids against the COVID‐19 virus and their mechanisms of action. Search for natural lead molecules against SARS‐CoV‐2 has been focusing on virtual screening and in vitro studies on phytochemicals that have shown great promise against other coronaviruses such as SARS‐CoV. Until now, there is limited data on in vivo investigations to examine the antiviral activity of plants in SARS‐CoV‐2‐infected animal models and the studies were performed using crude extracts. Further experimental and preclinical investigations on the in vivo effects of phytochemicals have to be performed to provide sufficient efficacy and safety data before clinical studies can be performed to develop them into COVID‐19 drugs. Phytochemicals are potential sources of new chemical leads for the development of safe and potent anti‐SARS‐CoV‐2 agents.
Modulating Surface Electron Density of Heterointerface with Bio‐Inspired Light‐Trapping Nano‐Structure to Boost Kinetics of Overall Water Splitting
Authors: Zhang Ben , Luo Haoran , Ai Bin , Gou Qianzhi , Deng Jiangbin , Wang Jiacheng , Zheng Yujie , Xiao Juanxiu , Li Meng 
Published: November 2022

AbstractHerein, inspired by natural sunflower heads’ properties increasing the temperature of dish‐shaped flowers by tracking the sun, a novel hybrid heterostructure (MoS2/Ni3S2@CA, CA means carbon nanowire arrays) with the sunflower‐like structure to boost the kinetics of water splitting is proposed. Density functional theory (DFT) reveals that it can modulate the active electronic states of NiMo atoms around the Fermi‐level through the charge transfer between the metallic atoms of Ni3S2 and MoMo bonds of MoS2 to boost overall water splitting. Most importantly, the finite difference time domain (FDTD) could find that its unique bio‐inspired micro‐nano light‐trapping structure has high solar photothermal conversion efficiency. With the assistance of the photothermal field, the kinetics of water‐splitting is improved, affording low overpotentials of 96 and 229 mV at 10 mA cm−2 for HER and OER, respectively. Moreover, the Sun‐MoS2/Ni3S2@CA enables the overall alkaline water splitting at a low cell voltage of 1.48 and 1.64 V to achieve 10 and 100 mA cm−2 with outstanding catalytic durability. This study may open up a new route for rationally constructing bionic sunflower micro‐nano light‐trapping structure to maximize their photothermal conversion and electrochemical performances, and accelerate the development of nonprecious electrocatalysts for overall water splitting.
Serious Play for Serious Times
Authors: Wohlwend Karen 
Published: November 2022

AbstractA contributing factor to the loss of play in many early childhood classrooms is a sharp separation between literacy learning as serious, even urgent, academic work and play as optional, socially‐beneficial‐at‐best, fun. To recenter play in the academic curriculum, early childhood educators must not only demonstrate how play benefits the existing literacy curriculum (the first half of this article), but we must also recognize play as an important early literacy in its own right with particular relevance for digital literacies (the second half of this article). The following sections review recent literacy research that provides support for recentering play in the early childhood curriculum. This review updates an already well‐established foundation of play‐based literacy research, adding current research that can help teachers integrate literacy play in early childhood settings. The article concludes with a framework for implementing play‐based early literacy in preschool through second grade classrooms.