bluuebunny/crossref_metadata_2025_split huggingface dataset:
Skin-Integrated stretchable actuators toward skin-compatible haptic feedback and closed-loop human-machine interactions
Authors: Yao Shanshan , Chen Si , Chen Yanjun , Yang Ji , Han Teng 
Published: September 2022

Abstract
Skin-Integrated haptic interfaces that can relay a wealth of information from the machine side to the user side, leveraging the skin’s versatile haptic perception capabilities, are of great interest. Haptic feedback facilitates a deeper level of human-machine interactions, improves the efficiency, productivity, and safety of machine control, and enables a more immersive engagement in the virtual environment. However, existing haptic devices are not yet able to produce haptic cues that are compatible with the functionality and mechanical properties of the skin. In this work, we present the materials, structures, and applications of stretchable soft actuators for haptic feedback, which can match the perception range, spatial resolution, and stretchability of the skin. Pressure-amplification structures are fabricated using a scalable self-assembly process to ensure an output pressure beyond the skin perception threshold. Due to the minimized device size, the actuator array can be fabricated with a sufficiently high spatial resolution, which makes the haptic device applicable for all skin locations, including locations with the highest spatial acuity. The actuators can be stretched up to the elastic range of the skin without sacrificing the actuation performance. A haptic feedback system is demonstrated by employing the developed soft actuators and highly sensitive pressure sensors. Two proof-of-concept applications are developed to illustrate the capability of transferring information related to surface textures and object shapes acquired at the robot side (using sensing elements) to the user side (using haptic stimulation to the skin surface). The developed haptic feedback system lays the ground for bilateral human-machine interactions in industrial robotics, prosthetics, teleoperation, VR/AR, and other fields where haptic feedback can be beneficial.
Computational Analysis of Ventricular Mechanics in Hypertrophic Cardiomyopathy Patients
Authors: Mojumder Joy , Fan Lei , Nguyen Thuy , Campbell Kenneth S , Wenk Jonathan F , Guccione Julius M , Abraham Theodore , Lee Lik Chuan 
Published: September 2022

Abstract
Hypertrophic cardiomyopathy (HCM) is a genetic heart disease that is associated with many pathological features, such as a reduction in global longitudinal strain (GLS), myofiber disarray and hypertrophy. The effects of these features on left ventricle (LV) function are, however, not clear in two phenotypes of HCM, namely, obstructive and non-obstructive. To address this issue, we developed patient specific computational models of the LV using clinical measurements of 2 female HCM patients and a control subject. Left ventricular mechanics was described using an active stress formulation and myofiber disarray was described using a structural tensor in the constitutive models. Unloaded LV configuration for each subject was first determined from their respective end-diastole LV geometries segmented from the cardiac magnetic resonance images, and an empirical single-beat estimation of the end-diastolic pressure volume relationship. The LV was then connected to a closed-loop circulatory model and calibrated using the clinically measured LV pressure and volume waveforms, peak GLS and blood pressure. Without consideration of myofiber disarray, peak myofiber tension was found to be lowest in the obstructive HCM subject (60 kPa), followed by the non-obstructive subject (242 kPa) and the control subject (375 kPa). With increasing myofiber disarray, we found that peak tension has to increase in the HCM models to match the clinical measurements. In the obstructive HCM patient, however, peak tension is still depressed (cf. normal subject) at the largest degree of myofiber disarray found in the clinic. The computational modeling workflow proposed here can be used in future studies with more HCM patient data.
The profile and determinants of delayed care-seeking and diagnosis among patients with imported malaria: a retrospective study in China, 2014–2021
Authors: Zhang Tao , Wang Duoquan , Qian Yingjun , Ruan Wei , Liu Ying , Xia Jing , Yan Hui , Sui Yuan , Lu Shenning , Xu Xian , Jiang Jingjing , Lyu Xiaofeng , Wang Shuqi , Li Shizhu , Li Weidong 
Published: September 2022

Abstract
Background: In areas where malaria has been eliminated, delayed care-seeking and diagnosis of imported malaria are constant threats. Therefore, this study aimed to describe the profile and determinants of delayed care-seeking and diagnosis among patients with imported malaria in China. These new findings may provide a basis for developing novel approaches to prevent the re-establishment of malaria.
Methods: This retrospective study assessed surveillance data obtained from 2014 to 2021 in the Chinese provinces of Anhui, Henan, Hubei, and Zhejiang, and the Guangxi autonomous region. Epidemiological characteristics were analyzed using descriptive statistics. Furthermore, factors associated with delayed care-seeking and diagnosis among imported malaria cases were identified using multivariate logistic regression.
Results: Overall, 11.81% and 30.08% of imported malaria cases had delays in seeking care and diagnosis, respectively.
During the study period, there was a decreasing trend in the proportion of imported malaria cases with delayed care-seeking (χ2=36.099, P＜0.001) and diagnosis (χ2=11.395, P=0.001). In multivariate analysis, independent risk factors associated with delayed care-seeking include provinces (Guangxi as reference), consultations in high-level facilities for the first medical visit, infections with non-falciparum species, and older age. However, provinces (Guangxi as reference), the purpose of traveling (labour as reference), and infections with non-falciparum species increased the risk of delayed diagnosis. Delayed care-seeking (adjusted odds ratio: 1.79, p=0.001) and diagnosis (adjusted odds ratio: 1.62, p=0.004) were risk factors for severe disease development.
Conclusions: Based on this study’s findings, we strongly advocate for improved access to quality healthcare to reduce the rate of misdiagnosis at the first visit. Infections caused by non-falciparum species should be highlighted, and more sensitive and specific point-of-care detection methods for non-falciparum species should be developed and implemented. In addition, education programs should be enhanced to reach target populations at risk of malaria infection. All these factors may reduce delayed care-seeking and diagnosis of imported malaria.
Low spatial frequency laser-induced periodic surface structures in fused silica inscribed by widely tunable femtosecond laser pulses
Authors: Navickas Marius , Grigutis Robertas , Jukna Vytautas , Tamošauskas Gintaras , Dubietis Audrius 
Published: September 2022

Abstract
The formation and evolution of laser-induced periodic surface structures in fused silica under irradiation of widely tunable (in the1−3 μm range) linearly polarized femtosecond (200 fs) pulses was studied experimentally. The structures were inscribed inhigh fluence regime (exceeding the surface ablation threshold for a single pulse) and characterized by using scanning electronmicroscopy and two dimensional Fourier transform. The results revealed rapid (after irradiation with a few successive pulses)formation of periodic laser-induced periodic surface structures aligned parallel to laser polarization, whose period increases withincreasing the inscription wavelength, obeying the λ/n law. With further increase of number of pulses, the generated structuresgradually reorganize into laser polarization-independent low spatial frequency annular structures associated with formation ofthe damage crater, which fully established after irradiation with a few tens of successive laser pulses. This particular evolutionscenario was observed over the entire wavelength tuning range of incident pulses.
MicroRNA-125b as a valuable predictive marker for outcome after autologous hematopoietic stem cell transplantation
Authors: Rafiee Mohammad , Amiri Fatemeh , Mohamadi Mohammad Hossein , Hajifathali Abbas 
Published: September 2022

Abstract
Background: Relapse is a frequent occurrence in autologous hematopoietic stem cell transplantation (AHSCT), and early relapse after AHSCT results in poor survival and low quality of life. Predictive marker determination for AHSCT outcomes could be helpful in the prevention of relapse through personalized medicine. Here the predictive value of circulatory microRNAs (miRs) expression for AHSCT outcomes was studied.
Methods: 50 MM and lymphoma candidates for AHSCT were participated in this study. Two plasma samples were obtained before AHSCT from each candidate; one before mobilization and the other after conditioning. Extracellular vesicles (EVs) were isolated by ultracentrifugation. miR-125b, miR-126, miR-150, and miR-155 expression were analyzed in both plasma and EVs using real time polymerase chain reaction analysis. Other data related to AHSCT and its outcomes was also collected. The predictive value of miRs and other factors for outcomes was assessed by multi-variant analysis.
Results: By 90 weeks follow up after AHSCT, multi-variant and ROC analysis showed miR-125b as a predictive marker for relapse, high lactate dehydrogenase (LDH), and high erythrocyte sedimentation rate (ESR). The cumulative incidence of relapse, high LDH, and high ESR increased with an increase in circulatory miR-125b expression.
Conclusion: miR-125b could be applicable in prognosis evaluation and also create a possible new targeted therapy opportunity for enhanced outcomes and survival after AHSCT.
Characterization of Immune Exhaustion and Suppression in the Tumor Microenvironment of Splenic Marginal Zone Lymphoma
Authors: Anagnostou Theodora , Yang Zhi-Zhang , Jalali Shahrzad , Kim Hyo Jin , Tang Xinyi , Yu Yue , Pritchett Joshua , Villasboas Jose , Price-Troska Tammy , mondello patrizia , Novak Anne , Ansell Stephen 
Published: September 2022

Abstract
The role and immunological constitution of the tumor microenvironment (TME) in splenic marginal zone lymphoma (sMZL) is largely unknown and studies on the phenotype and subset composition of intratumoral T cells are lacking. In the present study, we evaluated 36 sMZL spleen specimens by single cell analysis to gain a better understanding of the TME in sMZL. Using mass cytometry (CyTOF), we observed that the TME in sMZL is distinct from that of control non-malignant reactive spleen (rSP). We found that the number of TFH cells varied greatly in sMZL, ICOS+ TFH cells were more abundant in sMZL than rSP, and TFH cells positively correlated with increased numbers of memory B cells. Treg cell analysis revealed that TIGIT+ Treg cells are enriched in sMZL and correlate with suppression of TH17 and TH22 cells. Intratumoral CD8+ T cells were comprised of subsets of short-lived, exhausted and late-stage differentiated cells, thereby functionally impaired. We observed that T-cell exhaustion was present in sMZL and TIM-3 expression on PD-1low cells identified cells with severe immune dysfunction. Gene expression profiling by CITE-seq analysis validated this finding. Taken together, our data sugget that the TME as a whole, and T-cell population specifically, are heterogenous in sMZL and immune exhaustion is one of the major factors impairing T-cell function.
Distribution and pollution characteristics of organophosphate esters: reflected by tree rings of arbor species
Authors: Song Jiaojiao , Xiong Xiaoyu , Yin Hongling , Xiong Yuanming , Fang Shuhong 
Published: September 2022

Abstract
Organophosphate esters (OPEs) are a kind of emerging pollutants. Tree rings are long-lasting reservoirs of OPEs in the environment and can be analyzed to indicate OPEs contamination in the sampling region. Currently, research on OPEs in tree rings is still limited. In this study, tree rings of 5 arbor species from Sichuan Province, China, were sampled to study the occurrence and distribution of 6 OPEs, which were quantitatively analyzed by gas chromatography- mass spectrometry (GC-MS). The total concentrations of OPEs in all samples ranged from 189.79 (Fir species) to 341.23 ng/g (Toona sinensis), with average concentration of 284.77 ± 46.66 ng/g. The concentrations of OPEs in the 5 arbor species showed no significant difference. Tree rings of arbor species could be used as good passive samplers to show the occurrence and distribution of OPEs in the regional environment. Tris(2-butoxyethyl) phosphate (TBEP) was the dominant OPEs followed by tri(2-chloroethyl) phosphate (TCEP). Tris (2-ethylhexyl) phosphate (TEHP) and tri-n-butyl phosphate (TnBP) showed relatively stable concentrations in each arbor species, while the other 4 OPEs including TBEP, triphenyl phosphate (TPhP), tri(chloropropyl) phosphate (TCPP) and TCEP had significantly different concentrations. Interestingly, the absorption and accumulation of OPEs by tree rings of arbor species was quite different from that of inorganic elements reported by other studies.
Tunable bidirectional perfect THz absorber realized by graphene-based one-dimensional photonic crystals
Authors: Zhang Pingsheng , Deng Xin-Hua , Liu Hongfei , Yuan Jiren 
Published: September 2022

Abstract
In this paper, a perfect absorption structure of graphene-based one-dimensional photonic crystals (1DPC) with tunable absorption channels and absorptivity is proposed. The proposed structure can achieve four perfect absorption peaks with the absorptivity of 99.31%, 99.88%, 99.74% and 99.32% at the same time, and the absorptivity of all absorption peaks is more than 95%. By tuning the period number of 1DPC, the number of absorption peaks and absorption efficiency can be changed. In addition, we use this structure to design two different bidirectional absorbers. The designed bidirectional absorber can tailor the perfect absorption frequency with the absorptivity of more than 99.51%, and can change the absorption channel from single channel to double channel and double channel to multi-channel under the forward and backward incidence. This work not only fills the gap in the design of bidirectional perfect absorbers for 1DPC, but also provides a scheme for the design of multifunctional devices.
Initial serum CA-125 and HE4 levels as predictors for optimal surgical cytoreduction in patients with stage III epithelial ovarian cancer
Authors: Li Jinjin , Chang Xiaoxia , Du Kaiwen , Li Qian , Tang Junying 
Published: September 2022

Abstract
Background: Ovarian cancer (OC) lacks specific symptoms and screening methods, and most patients are diagnosed at an advanced stage with worse prognosis. Currently, the major treatment approaches for advanced epithelial ovarian carcinoma (AEOC) have been primary debulking surgery (PDS) followed by platinum-based chemotherapy, and neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS). Serum CA125 has been widely used as an indicator for OC diagnosis and management. It is generally believed that preoperative serum CA125 level is associated with tumor burden, and some studies have attempted to evaluate its level to obtain optimal resection rate. HE4 is also a promising biomarker for OC. The aim of the study is to explore whether serum CA125 and HE4 levels in stage III epithelial ovarian cancer predict optimal surgical cytoreductive outcomes.
Methods: The clinical data of 201 stage III ovarian cancer patients, diagnosed at our institution from January 2013 to June 2019, were retrospectively collected. According to the initial treatment modality, patients were divided into groups: NACT followed by IDS (89 women) group and by PDS (112 women) group. Differences in patient characteristics were compared using the chi-square test and t-test, and disease-free survival (DFS) was calculated using the Kaplan-Meier method. ROC analysis was used to determine the cut-off values of serum CA-125 and HE4.
Results: The medium initial serum levels of CA125 (1359.6 IU/ml vs.759.5 IU/ml, p ˂ 0.001) and HE4 (661 pmol/L vs. 244 pmol/L, p ˂ 0.001) were significantly higher in the NACT group compared with those in the PDS group. Serum CA125 and HE4 levels after NACT decreased by 96.30% and 96.23%, respectively. If the preoperative serum CA-125 value was 500 IU/ml, the probability of achieving R0 was 63.9%. When the preoperative serum HE4 value was 250pmol/L, there was a 65.80% chance of obtaining complete gross cytoreduction. The median DFS was 20 months and 20.5 months in the NACT and PDS groups, respectively. No significant difference in DFS was observed between the two groups (p = 0.851).
Conclusion: The efficacy of NACT combined with IDS treatment and PDS for advanced ovarian cancer are comparable. Initial serum CA125 and HE4 levels of 500IU/ml and 250 pmol/L are appropriate cut-off values for predicting the absence of gross residual lesions. CA125 and HE4 values can serve as predictors of optimal surgical cytoreduction. Nevertheless, more clinical studies are needed for further validation.
Distance measures on intuitionistic fuzzy sets based oncross-information dissimilarity and their diverse applications
Authors: Gogoi Surabhi , Gohain Brindaban , Chutia Rituparna 
Published: September 2022

Abstract
In this paper, two new distance measures are introduced, which might be used in various application problems in decision-making, pattern recognition, and clustering. Intuitionistic fuzzy sets are sources of information that contain both the membership and non-membership degrees of the elements in the set. As such, distance measures based on geometric concepts are sometimes misleading. Hence, six parameters are identified to construct the distance measures. These parameters are membership information dissimilarity, non-membership information dissimilarity, hesitancy information dissimilarity, product cross-information dissimilarity, maximum cross-information dissimilarity, and minimum cross-information dissimilarity. Among all the parameters, the product cross-information dissimilarity is being newly introduced in this work. Compensations for the proposed distance measures are established by various counterintuitive problems in decision-making and pattern recognition. Finally, validation of the proposed distance measures is established by diverse problems of applications in decision-making, pattern recognition, and clustering problems.
The Effect of the Health Literacy Levels of Teachers on their Vaccine Hesitancy
Authors: Yeşiltepe Akgün , Çal Ayşe 
Published: September 2022

Abstract
Teachers assume important responsibilities in improving the health literacy levels of the society. Health literacy and vaccination are important prerequisites for health protection and promotion. This study aimed to investigate the effect of teachers' health literacy levels on their vaccine hesitancy. This descriptive cross-sectional study was conducted between March and June 2022. A total of 391 teachers working in schools affiliated to XXX Provincial Directorate of National Education participated in the study. The Personal Information Form, the Health Literacy Instrument-Short Form, and the Vaccine Hesitancy Scale were used to collect data. The Mann Whitney U test, Kruskal Wallis test, Bonferroni analysis and Spearman correlation test were performed. The health literacy and vaccine hesitancy levels of the teachers were found to be moderate. A negative and weak significant relationship was observed between health literacy and vaccine hesitancy, indicating that as health literacy increases, vaccine hesitancy may decrease. In addition, it was revealed that general health perception and over-the-counter drug use are associated with health literacy, and age, income status and place of residence are associated with vaccine hesitancy. The health literacy and vaccine hesitancy levels of teachers should be improved. As health literacy increases, vaccine hesitancy decreases, which is an important finding in terms of increasing the effectiveness of vaccination programs.
Allergic rhinitis children with obesity are more vulnerable to air pollution: a cross sectional study
Authors: Li Ruo-Ling , Wu Chia-Ta , Chen Shan-Ming , Lue Ko-Huang , Lee Shiuan-Shinn , Ku Min-Sho 
Published: September 2022

Abstract
The association between air pollution, allergic rhinitis (AR), and obesity has not been studied. From 2007 to 2011, 52 obese and 152 non-obese children (7–17 years old) with AR from Taichung, Taiwan, were recruited from a hospital in the same city. Pediatric Rhinoconjunctivitis Quality of Life Questionnaire (PRQLQ) and nasal peak expiratory flow (NPEF) were tested once and randomly on different days over the 5 years. Correlations between the scores and rates of the two tests and mean air pollutant concentrations within 7 days before were compared. Air pollutants included SO2, CO, PM10, PM2.5, NO, NO2, and non-methane hydrocarbon (NMHC). In obese AR children, correlation between higher CO, PM10,, PM2.5 concentrations and higher nasal discomfort and symptoms (higher quality of life scores) were noted. Correlation between higher CO, PM10, PM2.5, NMHC concentrations and higher nasal mucosa inflammation and obstruction (lower NPEF rates) was also noted. In non-obese AR children, no correlation was noted between air pollution and PRQLQ and NPEF. Obesity negatively affected AR severity when these AR children experienced higher concentrations of CO, PM10, and PM2.5. In these children, increased nasal obstruction and inflammation induced by air pollutants might be the mechanism explaining this association.
Stability and Hopf Bifurcation of an (n + 2)-Neuron BP-Like Delayed Neural Network with Multiple Layers
Authors: He jiajin , Xiao Min , Lu Yunxiang , Sun Yonghui , Cao Jinde 
Published: September 2022

Abstract
The issue of dynamic behaviours of neural network has received considerable attention. Substantial research has been undertaken on the bifurcation of low-dimensional simplifified neural networks. However, few fruits about the bifurcation behaviours of high-dimensional artifificial neural networks exist. BP(back propagation) neural networks as the basis of constructing many advanced artifificial neural networks possess superior research value. Theoretical research is more sophisticated due to BP neural networks’ high-dimensional properties and complex topology properties, and many blind spots need to be improved urgently. This paper set out to investigate the stability and Hopf bifurcation of an (n + 2)-neuron BP-like delayed neural network with multiple layers composed of the input, hidden, and output layers. Firstly, the formula of Coates flflow graph is innovatively applied to obtain characteristic equation. Then, some suffiffifficient conditions are deduced to ensure the network’s stability at the equilibrium point and the Hopf bifurcation’s occurrence. Finally, numerical simulations are established to demonstrate the theoretical results. It is effffectively indicated that delays’ increasing will lead to the Hopf bifurcation, ulteriorly bringing about oscillation and instability. Furthermore, the impact of self-feedback coeffiffifficient and neuron number on the Hopf bifurcation’s occurrence are also taken into account.