bluuebunny/crossref_metadata_2025 huggingface dataset:
Emergency medicine physician supervision and mortality among patients receiving care from non-physician clinicians in a task-sharing model of emergency care in rural Uganda: a retrospective analysis of a single-centre training programme
Authors: Rice Brian , Pickering Ashley , Laurence Colleen , Kizito Prisca Mary , Leff Rebecca , Kisingiri Steven Jonathan , Ndyamwijuka Charles , Nakato Serena , Adriko Lema Felix , Bisanzo Mark
Published: June 2022

Objectives

To assess the association between emergency medicine physician supervision and 3-day mortality for patients receiving care from non-physician clinicians in a task-sharing model of emergency care in rural Uganda.

Design

Retrospective cohort analysis with multivariable logistic regression.

Setting

Single rural Ugandan emergency unit.

Participants

All patients presenting for care from 2009 to 2019.

Interventions

Three cohorts of patients receiving care from non-physician clinicians had three different levels of physician supervision: ‘Direct Supervision’ (2009–2010) emergency medicine physicians directly supervised all care; ‘Indirect Supervision’ (2010–2015) emergency medicine physicians were consulted as needed; ‘Independent Care’ (2015–2019) no emergency medicine physician supervision.

Primary outcome measure

Three-day mortality.

Results

38 033 ED visits met inclusion criteria. Overall mortality decreased significantly across supervision cohorts (‘Direct’ 3.8%, ‘Indirect’ 3.3%, ‘Independent’ 2.6%, p<0.001), but so too did the rates of patients who presented with ≥3 abnormal vitals (‘Direct’ 32%, ‘Indirect’ 19%, ‘Independent’ 13%, p<0.001). After controlling for vital sign abnormalities, ‘Direct’ and ‘Indirect’ supervision were both significantly associated with reduced OR for mortality (‘Direct’: 0.57 (0.37 to 0.90), ‘Indirect’: 0.71 (0.55 to 0.92)) when compared with ‘Independent Care’. Sensitivity analysis showed that this mortality benefit was significant for the minority of patients (17.2%) with ≥3 abnormal vitals (‘Direct’: 0.44 (0.22 to 0.85), ‘Indirect’: 0.60 (0.41 to 0.88)), but not for the majority (82.8%) with two or fewer abnormal vitals (‘Direct’: 0.81 (0.44 to 1.49), ‘Indirect’: 0.82 (0.58 to 1.16)).

Conclusions

Emergency medicine physician supervision of emergency care non-physician clinicians is independently associated with reduced overall mortality. This benefit appears restricted to the highest risk patients based on abnormal vitals. With over 80% of patients having equivalent mortality outcomes with independent non-physician clinician emergency care, a synergistic model providing variable levels of emergency medicine physician supervision or care based on patient acuity could safely address staffing shortages.
Examining the impact of social stressor stimuli in eliciting physiological reactivity in children and adolescents with autism spectrum disorder: a systematic review and meta-analysis protocol
Authors: Wong Agnes S K , Burns Samantha , Woodruff Earl
Published: June 2022

Introduction

Stress is not experienced the same by everyone. Some individuals, such as individuals with autism spectrum disorder (ASD), are at risk of heightened sensitivity to stress responses. ASD is a neurodevelopmental disorder commonly characterised by deficits in social communication and social interaction. Among different stressor stimuli, social stressors are particularly worth our attention due to the social and communication challenges inherent in ASD. This study aims to systematically evaluate different social stressor stimuli in eliciting physiological reactivity in ASD, focusing on the children and adolescent population.

Methods and analysis

We designed a study protocol for this study and submitted it to PROSPERO for systematic review registration. Any studies with children and adolescents with ASD between the ages of 0 and 18 in clinical and community settings will be included. All types of social stressor interventions will be included. The outcome of interest will include studies with physiological activity of the participants being measured, for example, measures related to autonomic functioning, electrodermal functioning and cortisol level. The primary literature sources will be across four electronic databases: MEDLINE, Embase, PsycInfo and CINAHL in August 2021. The second source of literature will be across grey literature, including ProQuest Dissertations & Theses Global and across clinical trial registries in August 2021. Hand searching of references will be performed on the reference lists of all included studies. Two volunteers pursuing postgraduate-level studies will independently search and screen potential studies for eligibility. Finally, all references considered by hand searching will be reviewed by two researchers. The methodological quality of the research will be assessed by adopting the quality assessment used by a previous study. The assessment consists of four primary categories: descriptive validity, internal validity, external validity and statistical conclusion validity.

Ethics and dissemination

No ethical approval is required for this study. Results will be disseminated through conferences and publications in relevant peer-reviewed journals.

PROSPERO registration number

CRD42021244039.
Cohort profile: Anhui Maternal–Child Health Study in China
Authors: Yin Jiaqian , Cao Yunxia , Liang Chunmei , Peng Xiaoqing , Xu Xiaofeng , Zhou Weiju , Khutan Ranjit , Tao Fang-Biao , Chen Ruoling
Published: June 2022

Purpose

The Anhui Maternal–Child Health Study (AMCHS) aims to examine determinants of reproduction, pregnancy and postpartum maternal and child health outcomes in Chinese women who received assisted reproductive technology (ART).

Study design and participants

AMCHS is an ongoing cohort study starting from May 2017. AMCHS recruits participants from all couples who sought ART treatment in the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China. The participants are interviewed to document baseline sociodemography, lifestyles, dietary intake and environmental exposure. Their clinical characteristics are obtained from hospital records. Samples of blood, follicular fluid and semen are collected at the clinic. Participants receive a standard long pituitary downregulation or a short protocol with an antagonist for the treatment. They are followed up from preconception to delivery, or discontinuation of ART treatment. Details of their children’s health are documented through a questionnaire focusing on developmental status and anthropometry measurement.

Findings to date

Until April 2021, AMCHS had recruited 2042 couples in the study. 111 women withdrew from the study and 19 failed to retrieve oocytes. Among the 1475 confirmed pregnancies, 146 had miscarriages or terminated their pregnancies, 9 had stillbirths and 263 were ongoing pregnancies. The implantation failure increased with maternal age; adjusted OR was 1.43 (95% CI 1.16 to 1.77) in the age of 31–35 years, 1.97 (95% CI 1.46 to 2.66) in 35–39 years and 6.52 (95% CI 3.35 to 12.68) in ≥40 years compared with those aged 20–30 years. Among the 1057 couples with successful ART who were followed up for delivering babies, 576 had their children examined at age 30–42 days, 459 at 6 months and 375 at 12 months.

Future plans

The AMCHS will identify comprehensive risk factors for poor ART outcomes and explore potential interaction effects of multiple factors including sociopsychological aspects of environmental exposure, dietary intake and genetics on maternal and child health.
Effects of whole-body vibration training on lower limb motor function and neural plasticity in patients with stroke: protocol for a randomised controlled clinical trial
Authors: Zhang Mingkai , Wei Jianing , Wu Xueping
Published: June 2022

Introduction

Lower limb motor dysfunction is common in patients with stroke, and usually caused by brain neural connectivity disorder. Previous studies have shown that the whole-body vibration training (WBVT) significantly improves the lower limb motor function in patients with stroke and may promote nerve remodelling. The prior purpose of this study is to explore effects of WBVT on lower limb motor function and neuroplasticity in patients with stroke.

Methods

A single-blind randomised controlled trial will be conducted. Sixty patients with stroke will be recruited and allocated randomly to WBVT, routine rehabilitation training (RRT) and control group (CG). The WBVT and RRT interventions will be implemented as five 25 min sessions weekly for continuous 12 weeks; the CG will remain daily habitual living styles and routine treatments, in community or hospital, and will also receive telephone follow-up and health-related lectures. Transcranial magnetic stimulation will be used to assess neural plasticity while lower limb motor function is assessed using indicators of strength, walking ability and joint activity. The assessments will be conducted at the period of baseline, week 6, week 12 as well as on 4 and 8 weeks, respectively, after intervention completion.

Ethics and dissemination

This study has been approved by the Shanghai University of Sport Research Ethics Committee (102772021RT067) and will provide data on the effects of WBVT relative to RRT in terms of the improvement of stroke patients’ lower limb motor function and neural plasticity. The results of this study will be disseminated via publications in peer-reviewed journals and presentations at international conference.

Trial registration number

ChiCTR2200055143.
Factors associated with cancer treatment delay: a protocol for a systematic review and meta-analysis
Authors: Morrill Kristin E , Robles-Morales Rogelio , Lopez-Pentecost Melissa , Martínez Portilla Raigam J , Saleh Ahlam A , Skiba Meghan B , Riall Taylor S , Austin Jessica D , Hirschey Rachel , Jacobs Elizabeth T , Spotleson Lena , Hanna Timothy P
Published: June 2022

Introduction

Treatment delays are significantly associated with increased mortality risk among adult cancer patients; however, factors associated with these delays have not been robustly evaluated. This review and meta-analysis will evaluate factors associated with treatment delays among patients with five common cancers.

Methods and analysis

Scientific databases including Ovid MEDLINE, Elsevier Embase, EBSCOhost CINAHL Plus Full Text, Elsevier Scopus and ProQuest Dissertations and Theses Global will be searched to identify relevant articles published between January 2000 and October 2021. Research articles published in the USA evaluating factors associated with treatment delay among breast, lung, prostate, cervical or colorectal adult cancer patients will be included. The primary outcome of the meta-analysis will be the pooled adjusted and unadjusted odds of treatment delay for patient, disease, provider and system-level factors defined according to specified time intervals. The secondary outcomes will be mean or median treatment delay for each cancer site according to first treatment and the influence of factors on the pooled mean treatment delay for each cancer site (via meta-regression analyses). Results from qualitative and mixed-methods studies will be narratively synthesised. Three reviewers will independently screen records generated from the search and two reviewers will independently extract data following a consensus agreement. Statistical heterogeneity will be assessed with a standard I2 test and funnel plots will be conducted to evaluate publication bias. Risk of bias will be assessed independently by two authors using validated tools according to the article’s study design.

Ethics and dissemination

Formal ethical approval is not required because the work is being carried out on publicly accessible studies. The findings of this review will be disseminated through a peer-reviewed scientific journal, academic conferences, social media, and key stakeholders.

PROSPERO registration number

CRD42021293131.
Web-based interventions for pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis protocol
Authors: Guo Pingping , Jin Yin , Xiang Zhenzhen , Chen Dan Dan , Xu Ping , Wang Xiaojuan , Zhang Wei , Mao Minna , Zheng Qiong , Feng Suwen
Published: June 2022

Introduction

Gestational diabetes mellitus (GDM) is one of the most prevalent diseases during pregnancy, which is closely associated with many short-term and long-term maternal and neonatal complications and can incur heavy financial burden on both families and society. Web-based interventions have been used to manage GDM because of the advantages of high accessibility and flexibility, but their effectiveness has remained inconclusive. This systematic review and meta-analysis aims to comprehensively investigate the multidimensional effectiveness of web-based interventions for pregnant women with GDM, thereby aiding implementation decisions in clinical settings.

Methods and analysis

This systematic review protocol strictly adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. Six electronic databases (PubMed, Web of Science, Cochrane Central Register of Controlled Trials, Embase, CINAHL and PsycINFO) will be comprehensively searched from their inception to 26 January 2022 to identify randomised controlled trials and controlled clinical trials regarding the efficacy of web-based interventions for pregnant women with GDM on glycaemic control, behavioural outcomes, cognitive and attitudinal outcomes, mental health, maternal and neonatal clinical outcomes, and medical service utilisation and costs. Two reviewers will independently conduct the study selection, data extraction and quality assessment. The methodological quality of included studies will be assessed using the Effective Public Health Practice Project assessment tool. The overall meta-analyses for each of the interested outcomes will be performed if the outcome data are sufficient and provides similar effect measures, as well as subgroup analyses for glycaemic control indicators based on the different types of intervention format, interactivity and technology. We will conduct a qualitative synthesis for studies that cannot be quantitatively synthesised.

Ethics and dissemination

Ethics approval is not required for this review as no human participants will be involved. The results will be disseminated via a peer-reviewed journal or an academic conference.

PROSPERO registration number

CRD42022296625.
Estimating the global health impact of gender-based violence and violence against children: a systematic review and meta-analysis protocol
Authors: Spencer Cory N , Baeza María Jose , Chandan Jaidev Kaur , Debure Alexandra , Herbert Molly , Jewell Teresa , Khalil Mariam , Lim Rachel Qian Hui , Minhas Sonica , Chandan Joht Singh , Gakidou Emmanuela , Metheny Nicholas
Published: June 2022

Introduction

Exposure to gender-based violence (GBV) and violence against children (VAC) can result in substantial morbidity and mortality. Previous reviews of health outcomes associated with GBV and VAC have focused on limited definitions of exposure to violence (ie, intimate partner violence) and often investigate associations only with predefined health outcomes. In this protocol, we describe a systematic review and meta-analysis for a comprehensive assessment of the impact of violence exposure on health outcomes and health-related risk factors across the life-course.

Methods and analysis

Electronic databases (PubMed, Embase, CINAHL, PsycINFO, Global Index Medicus, Cochrane and Web of Science Core Collection) will be searched from 1 January 1970 to 30 September 2021 and searches updated to the current date prior to final preparation of results. Reviewers will first screen titles and abstracts, and eligible articles will then be full-text screened and accepted should they meet all inclusion criteria. Data will be extracted using a standardised form with fields to capture study characteristics and estimates of association between violence exposure and health outcomes. Individual study quality will be assessed via six risk of bias criteria. For exposure–outcome pairs with sufficient data, evidence will be synthesised via a meta-regression—Bayesian, regularised, trimmed model and confidence in the cumulative evidence assessed via the burden of proof risk function. Where possible, variations in associations by subgroup, that is, age, sex or gender, will be explored.

Ethics and dissemination

Formal ethical approval is not required. Findings from this review will be used to inform improved estimation of GBV and VAC within the Global Burden of Disease Study. The review has been undertaken in conjunction with the Lancet Commission on GBV and the Maltreatment of Young People with the aim of providing new data insights for a report on the global response to violence.

PROSPERO registration number

CRD42022299831.
Social Factors, Epigenomics and Lupus in African American Women (SELA) Study: protocol for an observational mechanistic study examining the interplay of multiple individual and social factors on lupus outcomes in a health disparity population
Authors: Vara Emily L , Langefeld Carl D , Wolf Bethany J , Howard Timothy D , Hawkins Gregory A , Quet Queen , Moultrie Lee H , Quinnette King L , Molano Ivan D , Bray Stephanie L , Ueberroth Lori Ann , Lim S Sam , Williams Edith M , Kamen Diane L , Ramos Paula S
Published: June 2022

Introduction

Despite the disproportional impact of SLE on historically marginalised communities, the individual and sociocultural factors underlying these health disparities remain elusive. We report the design and methods for a study aimed at identifying epigenetic biomarkers associated with racism and resiliency that affect gene function and thereby influence SLE in a health disparity population.

Methods and analysis

The Social Factors, Epigenomics and Lupus in African American Women (SELA) Study is a cross-sectional, case–control study. A total of 600 self-reported African American women will be invited to participate. All participants will respond to questionnaires that capture detailed sociodemographic and medical history, validated measures of racial discrimination, social support, as well as disease activity and damage for cases. Participants who wish will receive their genetic ancestry estimates and be involved in research. Blood samples are required to provide peripheral blood mononuclear cell counts, DNA and RNA. The primary goals of SELA are to identify variation in DNA methylation (DNAm) associated with self-reported exposure to racial discrimination and social support, to evaluate whether social DNAm sites affect gene expression, to identify the synergistic effects of social factors on DNAm changes on SLE and to develop a social factors-DNAm predictive model for disease outcomes. This study is conducted in cooperation with the Sea Island Families Project Citizen Advisory Committee.

Discussion and dissemination

SELA will respond to the pressing need to clarify the interplay and regulatory mechanism by which various positive and negative social exposures influence SLE. Results will be published and shared with patients and the community. Knowledge of the biological impact of social exposures on SLE, as informed by the results of this study, can be leveraged by advocacy efforts to develop psychosocial interventions that prevent or mitigate risk exposures, and services or interventions that promote positive exposures. Implementation of such interventions is paramount to the closure of the health disparities gap.
Cancer services patient experience in England: quantitative and qualitative analyses of the National Cancer Patient Experience Survey
Authors: Brookes Gavin , Baker Paul
Published: June 2022

Objectives

To examine patients’ responses to the English National Cancer Patient Experience Survey to understand what proportions of patients give positive and negative feedback, and to identify themes in responses which drive evaluations.

Methods

Data comprise 214 340 survey responses (quantitative ratings and free-text comments) dated 2015–2018. The proportions of patients giving each quantitative rating (0–10) are compared and free-text comments are analysed using computer-assisted linguistic methods in order to ascertain frequent thematic drivers of positive and negative feedback.

Results

Patients were most likely to give a most positive score of 10 (38.25%), while the overwhelming majority (87.12%) gave a score between 8 and 10. Analysis of 1000 positive comments found that most respondents (54%) praised staff’s interpersonal skills. Other frequent themes of positive feedback included treatment standards, staff’s communication skills, speed of diagnosis and treatment, and staff members’ technical competence. The most prominent themes in the negative comments were communication skills, treatment standards and waiting times for appointments and test/scan results, and delays and cancellations to appointments and operations.

Conclusion

Standards of treatment and staff’s communication skills are prominent themes of positive and negative feedback. Staff’s interpersonal skills are more likely to be praised than criticised, while negative feedback is more likely to focus on issues around time (ie, delays and long waits). Clarity and honesty in communication about the lengths and causes of waits and delays are likely to increase patient satisfaction.
Acute hospital specialist palliative care: multidisciplinary team models and workforce in South West England
Authors: Smith Roger William , Tween Suzanne , Chamberlain Charlotte , Gibbins Jane
Published: June 2022

Objectives

Acute hospital specialist palliative care teams (SPCTs) improve patient care and reduce length of stay. UK guidance recommends SPCTs provide face-to-face assessments 7 days a week and offer 24-hour telephone advice. Little published data exist on SPCT staffing models.

This paper aims to explore team structure, funding and impact of COVID-19 on SPCTs across the South West (SW) of England (population of nearly six million).

Methods

Electronic survey to SPCT clinical leads in 15 SW acute hospitals.

Results

All 15 acute hospitals have an SPCT. There was variability in SPC clinical nurse specialist and consultant availability, 0.27–2.7 whole-time equivalent (WTE) and 0.1–1.5 WTE, respectively, per 250 beds. 13/15 (87%) provide out-of-hours (OOH) palliative care advice with 60% reliant on charity services. Few SW teams meet national guidance for SPC staffing to bed ratios. 8/15 teams reported greater integration with other services during the COVID-19 pandemic.

Conclusion

There is significant variability in SPCT structure and staffing. The charity sector (independent hospices) often provides OOH acute hospital SPC advice. Further research is needed to consider the impact of different SPCT models on patient and family outcomes, and the sustainability and opportunities offered by integration of services and collaboration across care settings during COVID-19.
A global-scale analysis of the sharing economy model – an AirBnB case study
Authors: Quattrone Giovanni , Kusek Natalia , Capra Licia
Published: June 2022

The sharing economy model has changed the way in which people engage in a variety of activities, including travelling, trading, working, and lending/borrowing money. Several studies exist that aim to understand, quantify and model such phenomenon, but most such studies are geographically focused on countries in the Western World. Knowledge about the penetration and adoption of this novel market model in non-Western countries is much more limited, and almost completely lacking when it comes to emerging markets, where it was touted to bring the biggest benefits and be a game changer to uplift people economically. To close the gap, we chose Airbnb as an example of sharing economy model with worldwide market penetration, and performed a large-scale quantitative study of its penetration and adoption in seven cities in Asia, five cities in Latin America. We compared findings against seven cities in the Western World, and observed patterns to be similar across all locales, with two notable exceptions: the geographic penetration of such services, and the experience that guests travelling to such destinations shared in their reviews.
Binding of curvature-inducing proteins onto biomembranes
Authors: Noguchi Hiroshi
Published: June 2022

In this paper, we review the theoretical analyses and simulations of the interactions between curvature-inducing proteins and biomembranes. Laterally isotropic proteins induce spherical budding, whereas anisotropic proteins such as Bin/Amphiphysin/Rvs (BAR) superfamily proteins, induce tubulation. Both types of proteins can sense the membrane curvature. We describe the theoretical analyzes of various transitions of protein binding accompanied by a change in various properties, such as the number of buds, the radius of membrane tubes, and the nematic order of anisotropic proteins. Moreover, we explain the membrane-mediated interactions and protein assembly. Many types of membrane shape transformations (spontaneous tubulation, formation of polyhedral vesicles, polygonal tubes, periodic bumps, network structures, etc.) have been demonstrated by coarse-grained simulations. Furthermore, traveling waves and turing patterns under the coupling of reaction-diffusion dynamics and membrane deformation are described.
The low-frequency and broadband pendulum metamaterials based on inertial amplification mechanism
Authors: Zhang Lei , Wang Keyi , Shu Haisheng , Wang Xingguo
Published: June 2022

Pendulum has recently been introduced into the field of elastic metamaterials because of its low-frequency vibration characteristic, which further expands the application value of such structure. However, the low-frequency and broadband performance of traditional pendulum (TB) metamaterials still need to be further improved. In this paper, a new low-frequency pendulum metamaterial is proposed, and the low-frequency elastic wave propagation characteristics of the metamaterial are studied. The study shows that compared with the TB metamaterial, it can effectively lower the bandgap (BG) of metamaterial, but greatly narrow the BG. To solve this problem, the negative inertial amplification mechanism is further proposed, and the variation law of the metamaterial BG under this mechanism is investigated. It is found that the mechanism can effectively broaden the metamaterial BG and in specific cases make it have infinite width. Meanwhile, the constraint relationship between the frequency response function of unit-cell structure and the wave vector of metamaterial is established, which is used to reveal the broadening rationale of the BGunder the negative inertial amplification mechanism. Finally, depending on the negative inertial amplification mechanism, a novel broadband pendulum metamaterial is designed based on the low-frequency pendulum metamaterial. The relationship between the broadband attenuation behavior of the metamaterial and the frequency response function of unit-cell structure is analyzed, the working mechanism of negative inertial amplification to broadband pendulum metamaterial is also discussed, and the relevant optimization design method is given at the end.
Effects of time delays on dynamics of flux e-HR neuron model
Authors: Yang Lixin , He Peiyan , Ma Jie , Guo Gaihui
Published: June 2022

Since time delays are very vital and inevitable in the transmission of neurons, this paper is mainly concerned with the dynamic analysis of the magnetic flux e-HR neuron model with time delays. Specifically, the stability of the system at the equilibrium point and the conditions for bifurcations are analyzed to explore the impact of time delays on dynamics behavior. Results show that the system exhibits Hopf bifurcation within the specific range of time delay. Moreover, the increase of time delay can induce the tip discharge behavior. In addition, we investigate the stability and bifurcation behavior of the model with dual time delays. Our results indicate that the system displays rich dynamics performance under certain conditions. Furthermore, numerical simulations show time delays play a crucial role in the dynamics process for the magnetic flux e-HR neuron model.
RFCBF: Enhance the Performance and Stability of Fast Correlation-Based Filter
Authors: Deng Xiongshi , Li Min , Wang Lei , Wan Qikang
Published: June 2022

Feature selection is a preprocessing step that plays a crucial role in the domain of machine learning and data mining. Feature selection methods have been shown to be effective in removing redundant and irrelevant features, improving the learning algorithm’s prediction performance. Among the various methods of feature selection based on redundancy, the fast correlation-based filter (FCBF) is one of the most effective. In this paper, we developed a novel extension of FCBF, called resampling FCBF (RFCBF) that combines resampling technique to improve classification accuracy. We performed comprehensive experiments to compare the RFCBF with other state-of-the-art feature selection methods using three competitive classifiers (K-nearest neighbor, support vector machine, and logistic regression) on 12 publicly available datasets. The experimental results show that the RFCBF algorithm yields significantly better results than previous state-of-the-art methods in terms of classification accuracy and runtime.
Beyond platform cooperativism
Authors: Grohmann Rafael
Published: June 2022

This forum focuses on the conditions and futures of the labor underpinning technology production and maintenance. We welcome standalone articles as well as interviews and conversations about all tech labor within the global supply chain of digital technologies.
--- Seyram Avle and Sarah Fox, Editors
Detection of Alcohol Content in Food Products by Lossy Mode Resonance Technique
Authors: Kavita  , Jyoti  , Mishra S. K. , Mishra A. K. , Misra K. P. , Verma R. K.
Published: June 2022

The study deliberates the detection of ethanol/methanol concentration utilizing the phenomenon of lossy mode resonances on the multimode optical fiber by coating ZnO nanorods and bulk layers of TiO2 to serve as a lossy mode exciting layer. These layers have been characterized by FESEM, and their composition has been confirmed by EDS spectroscopy. Sensitivity of the ZnO nanorod coated optical fiber probe was found to be 28898.46 nm RIU−1, which is four times the sensitivity of the ZnO nanowire grown gas sensor for 1000 ppm of ethanol. Further, it is 4.5 times the sensitivity of TiO2 coated fiber probe. The sensitivity of TiO2 coated fiber optic probe comes about 7962.88 nm RIU−1, for methanol detection. The study reveals that the ZnO nanorod grown probe is highly recommended owning to the high figure of Merit i.e., 171.64 along with high sensitivity and detection accuracy values. The selectivity test also confirms the selectivity of this probe towards ethanol with ZnO NRs. Therefore, the development of an easy, durable, low-cost, and highly sensitive optical fiber sensing probe for the detection of ethanol and methanol has been achieved that may find ample considerations by the researchers in this field.
The 3D Hierarchical Structure of ZnO@CdS Core-Shell Nanorods on WO3 Nanoplates for High-Performance Hydrogen Production
Authors: Thi Hien Truong , Thi Bich Vu , Thi Binh Phan , Thi Thanh Thuy Mai , Nguyen Tien Dai , Tan Man Minh , Hung Nguyen Manh , Thi Trang Tran , Thi Thu Hien Chu , Van Tuan Chu , Thi Nguyet Nguyen
Published: June 2022

Hydrogen evolution by water splitting is one of the easy and clean methods for generating energy that can solve the energy crisis in the near future. In this report, WO3 nanoplates were treated with a chemical bath deposition (CBD) and hydrothermal (HM) sequentially to synthesize the ZnO@CdS core-shell nanorods (NRs) on the nanoplates. Prior to this, the sputtering process followed by HM has been involved to grow basic uniform WO3 NPts onto the FTO substrate. To ensure the enhancement in the performance of the photoanode under solar light, the sputtered-grown Pt nanoparticles were used as the catalyst. The method measurements FESEM, HR-TEM, XRD, LSV, and conversion efficiency were used for the examination of the morphology and performance of the photoanodes. In an aqueous solution of 0.3 M Na2S and 0.2 M Na2SO3 (pH ∼13.5), the linear sweep voltammetry (LSV) analysis shows a photocurrent density of 17.1 mA cm−2 at 0 V vs SCE and 6.1% of the efficiency of conversion energy at −0.5 V vs SCE of Pt/CdS@ZnO/WO3/FTO photoanode.
Innovative Application of Nano-Organic Photochromic New Materials in Hakka Traditional Decorative Pattern Design
Authors: Lai HuiJuan
Published: June 2022

Hakka traditional decorative patterns are the epitome of local life and production customs, politics and economy, culture and art and other history and culture. The themes of Hakka traditional decorative patterns come from the real world or the imaginary world, expressing the expectation and beautiful vision of life. At the same time, it is also the essence of artists accumulated through life in the past dynasties, which has a certain impact on the integration of modern art design and traditional culture. Photochromic materials have the characteristics of reversible color change under the action of light. They have relevant applications in many fields, such as architecture, currency anti-counterfeiting, clothing decoration and so on. Firstly, this paper briefly expounds the Hakka traditional culture. According to the introduction of Hakka traditional culture, this paper leads to the design of Hakka traditional decorative patterns based on Hakka traditional culture, and discusses the decorative technology, decorative parts, application scope and development history of Hakka traditional decorative patterns. Secondly, this paper briefly summarizes the photochromic materials, and leads to the category, principle and mechanism of organic photochromic materials. In this paper, electrospinning technology is introduced, and relevant experiments are designed. The results show that the composites with MAPE have better flexural, compressive and impact strength when the length of carbon nanofibers changes consistently. In the bending performance comparison experiment, the experimental data show that the lowest value of the group with MAPE is 15MPa higher than the highest value without MAPE. In the comparative test of compressive properties, the experimental data show that there is a difference of 30MPa between the composites with MAPE and those without MAPE. Moreover, when the length of carbon nanofibers is 40um, the overall performance of the composites is the best. This paper takes the design of Hakka traditional architectural decoration pattern with nano organic photochromic new materials as an experiment. Experiments show that nano organic photochromic new materials have better properties than traditional building materials in flexural modulus, compressive modulus and thermal stability.
[Retracted] Significance of the Expression of TC and TG Levels in the Initial Diagnosis and Treatment of SCLC Patients and Their Tie‐In with Prognosis
Authors: Chen Qiankun , Tang Feng , Zhang Haiping
Published: June 2022

The article examines the expression of TC and TG levels in the initial diagnosis and treatment of SCLC patients and their tie‐in with prognosis. Patients with SCLC are included in the case set, who are initially treated in the tumor center of our hospital from January 2020 to January 2021 and are confirmed by histopathology or cytology as the research subjects. 80 healthy volunteers are included in the control set, who received physical examination. All the enrolled patients received the first‐line standard treatment plan, and the clinical data of all SCLC patients are inquired through the medical record file system of the hospital. At the initial diagnosis and treatment, the TG and TC levels of all patients and healthy persons are measured and recorded by blood biochemistry. For SCLC patients, the risk factors affecting the prognosis of patients with progression‐free survival include newly diagnosed TC, TG levels, and tumor stage. Combined TC and TG detection can be used as indicators to predict the prognosis of the patients. TC and TG are significantly correlated with the prognosis of the patients with progression‐free survival time. It is worthy of clinical application.
EMEECP-IOT: Enhanced Multitier Energy-Efficient Clustering Protocol Integrated with Internet of Things-Based Secure Heterogeneous Wireless Sensor Network (HWSN)
Authors: Wang Yongcheng , Zhang Guohui
Published: June 2022

In recent years, Internet of Things (IoT)-based constrained wireless sensor networks (WSN) have been observed with radical developments. The aligned phenomenon such as maximizing resource utilization and the delivery of efficient services is the need of the hour to suffice for the purpose of seamless connectivity. Typically, IoT devices have limited battery life and are deployed in remote areas. As a result, limited battery life limits the use of networks in some situations. To develop energy-efficient techniques for the IoT requires innovative ideas where the current techniques of using WSNs cannot directly apply to the IoT due to protocol issues, SLAs (service level agreements), scalability issues, and complexity levels. To overcome these issues, this article proposes an Enhanced Multitier Energy-Efficient Clustering Protocol integrated with the Internet of Things (EMEECP-IOT) based on the heterogeneous wireless sensor networks (HWSN) technique. The proposed approach has been compared with the current and standard protocols with respect to the parameters such as network stability, packets received, average throughput, standard deviation (SD), and residual energy. The simulation results show significantly better performance of the proposed EMEECP-IoT-based HWSN technique than the existing technique. Extensive performance factors show that the proposed EMEECP-IOT extends the network lifetime by 35% and decreases the network’s energy consumption by 21%. This proposed approach can be applied to save energy and enhance network lifetime for WSN and IoT-oriented applications.
Interactive Music Teaching Method Based on Big Data and Cloud Computing
Authors: Hao Yinan
Published: June 2022

With the development of contemporary technology and education, there are more and more innovative teaching methods that are helpful to the education and teaching procedure. Interactive teaching method is one of them. Interactive teaching is a teaching modus based on developed on the scaffolding teaching theory that attaches importance to the communication between teachers and learners. Its biggest goal is to develop learner-specific and specific autonomous learning strategies through the communication and collaboration between the teacher and the learner. The advanced nature and effectiveness of interactive teaching methods make it more and more widely used in education, such as in the field of music teaching. Music teaching is a kind of teaching that pays more attention to the communication between teachers and Teachees. This paper aims to study the interactive music teaching method based on BD and CC, that is to design an interactive music teaching method based on big data and cloud computing technology, and conduct practical application experiments on it. The experiment concluded that the interactive music teaching method based on BD and CC has made the students’ participation rate in music teaching classrooms reach 88%, and the excellent rate of in-class test scores has reached 90%.
Certificateless Group to Many Broadcast Proxy Reencryptions for Data Sharing towards Multiple Parties in IoTs
Authors: Kim Won-Bin , Kim Su-Hyun , Seo Daehee , Lee Im-Yeong
Published: June 2022

Proxy reencryption delegates encrypted data stored in a proxy to a third party. This proxy reencryption takes the form of one sender providing data to one receiver. However, this method incurs a significant overhead for both the sender and proxy as the number of users receiving the same data increases. In addition, in a large-scale environment, such as an Internet of Things or big data environment, a scenario where several workers jointly create and own an output may exist. In such an environment, ownership disputes can arise when only one operator owns a piece data used by other operators. In this study, to solve this problem, we propose a technique in which multiple users can jointly own one piece of data, and multiple recipients can receive the same data through proxy reencryption.
Construction of Development Momentum Index of Financial Technology by Principal Component Analysis in the Era of Digital Economy
Authors: Li Boran , Gui Xiao , Zhou Qianyi
Published: June 2022

The purpose is to study applying mathematical analysis in financial technology (FinTech) development in the era of digital economy. An Evaluation Index System (EIS) for the current situation of Chinese FinTech enterprises is established by considering the impact of the era of the digital economy on the development of FinTech. Specifically, the Principal Component Analysis (PCA) is introduced to construct the principal component prediction model based on functional data. Then, six Chinese State-owned Enterprises (SOEs) are selected. Their stock prices are predicted using the proposed model through an empirical study. The results show that selecting three principal components to evaluate the financial situations of six SOEs is reasonable. The accumulated variance values of the first three principal components of the stock’s closing price and opening price are all greater than 85%. Thus, the selected three principal components can obtain the potential information of the original data. The gap between the actual value and the proposed model-predicted value of the stocks of the six SOEs is relatively small. The Root Mean Square Error (RMSE) of China National Petroleum Corporation (CNPC) is 0.105, more than 10%. The predicted values of Huadian Energy and China Shenhua are 9.4% and 8.5%, respectively, second only to CNPC. Therefore, the proposed principal component prediction model based on functional data can predict the closing price of stocks well. The accuracy is relatively high and matches well with financial data analysis. This research has important implications for the development of FinTech.
Dynamic Analysis of Sustainable Development of Agritourism Based on Cluster Analysis Algorithm
Authors: Xu Yufei
Published: June 2022

Agricultural cultural heritage is cultivated by nature and human farming civilization together, and the historical and cultural values it contains still affect the survival and development of human beings; so, it is important to protect agricultural cultural heritage and promote its sustainable development. This paper reviews, collates, and summarizes the research on agricultural cultural heritage and sustainable development of tourism by scholars and experts at home and abroad, and on the basis of relevant theories and with reference to previous research results, adopts hierarchical clustering algorithm to cluster and decompose the attractions preferred by tourists, and then uses the improved density method to search for nearby attractions that meet the requirements in different regions with different search radii, so as to provide tourists with optimal tourism planning and thus provide the optimal tourism planning for tourists. The evaluation index system of sustainable development potential of agricultural cultural heritage tourism is established from four aspects: sustainability of heritage resources, sustainability of tourism environment, sustainability of tourism economy, and sociocultural sustainability. The evaluation index system and evaluation criteria of sustainable development potential of agricultural cultural heritage tourism established in this paper have certain reference value and universality for most agricultural cultural heritage.
Clinical Observation of Computer Vision Technology Combined with Music Therapy in the Treatment of Alzheimer’s Disease
Authors: Zhang Anshuang , Yang Yunpeng , Xu Ming
Published: June 2022

With the world’s population aging, Alzheimer’s disease has attracted more and more attention as a common elderly disease. The clinical manifestations of cognitive function decline in Alzheimer’s disease are mainly memory decline, which will seriously damage the patient’s sense of self-worth. The purpose is to use the method of song recall to conduct individual music therapy intervention for Alzheimer’s disease patients, to help Alzheimer’s disease patients activate autobiographical memory, trigger positive emotions, improve behavioral symptoms, and delay the development of the disease. This paper proposes to combine computer vision technology with music therapy to obtain relevant data before and after intervention through the literature method, measurement method, case study method and experimental method. It helps AD patients to improve and slow down the forgetting and confusion of autobiographical memory, thereby enhancing the mood and cognition of AD patients. It observes the changes of AD patients before and after intervention by song recall and provides new ideas and practical basis for the application of music therapy in the field of Alzheimer’s disease research. The experimental results showed that the subjects’ autobiographical memory test (AMT) after 16 sessions of music therapy, from 12 points before the test to 14 points after the test. The scores were significantly positively correlated, and the improvement of autobiographical memory could improve the patient’s orientation and memory.
Analysis of Emotional Stress of Teachers in Japanese Teaching Process Based on EEG Signal Analysis
Authors: Dong Jie
Published: June 2022

The construction direction of Japanese teaching evaluation system based on hybrid teaching mode is to give full feedback to teaching process, diversify evaluation subjects and evaluation methods, and obtain comprehensive and objective evaluation results. Compared with most similar studies, more EEG data of teachers’ emotional stress relief and healthy people in Japanese teaching process were collected, and a large number of features were extracted. An experiment of teachers’ emotional stress relief recognition in Japanese teaching process based on EEG signal was designed. The feature selection algorithm was used to screen the EEG feature combinations of teachers’ emotional stress relief and healthy subjects, and the classification experiment was carried out to verify the difference. Finally, this paper uses the feature selection algorithm of tree model and the random forest model classifier to establish the recognition model of teachers’ emotional stress discharge in Japanese teaching process based on EEG signals and achieves the effect of more accurate recognition of teachers’ emotional stress discharge in Japanese teaching process. First, the connotation, value, and influencing factors of teachers’ emotion management ability are logically integrated and systematically expounded. Second, based on emotional psychology, emotional intelligence theory, psychotherapy theory, and management theory, teachers’ emotional management ability is constructed according to the three-dimensional structure theory of intelligence and information processing theory. It is constructed from three dimensions: object dimension (teachers themselves, students, and students), content dimension (positive and negative emotions), and operational dimension (emotional perception, emotional understanding, emotional expression, and emotional regulation).