bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feasibility and Enjoyment of Exercise Video Games in Older Adults
Authors: Freed Sara A. , Sprague Briana N. , Stephan Abigail T. , Doyle Cassidy E. , Tian Junyan , Phillips Christine B. , Ross Lesley A. 
Published: November 2021

Introduction: Several interventions have been developed to enhance social connectedness among older adults. However, little research has demonstrated their performance in a social distancing environment. Exergames are not only beneficial to older adults' physical and cognitive health, but they also allow players to interact with each other at a distance, which can reduce loneliness and increase social connection. The aim of this pilot study was to investigate older adults' perceptions of two commercially available exergames.Methods: Twenty healthy community-dwelling older adults (M age = 73.30, SD = 5.95, range = 65–84 years, 80% women) were recruited in this pilot study between July 2019 and February 2020. They were asked to play two exergames for 10 min each on the Xbox One with Kinect console: Just Dance and Kinect Sports Rivals. After gameplay, they provided both quantitative and qualitative feedback on these games.Results: Participants reported an average rating for exergame enjoyment. Greater enjoyment was significantly related with younger age and greater extraversion but not gender. Participants were highly motivated to do well on the games but reported lower scores for likelihood of playing these games in the future. Greater likelihood of future play was associated with younger age but not gender or extraversion. “Not aerobic or strengthen enough; not enough exertion,” and “slower movements, repetition, clear purpose of doing the exercise” were some factors that would influence their decision to buy and play these games.Discussion: The preliminary results of this pilot study suggest that exergames may help address social isolation and loneliness—particularly during times of social distancing. Before applying exergames as a social isolation or loneliness intervention for older adults, study replication in larger representative studies and future work that examines important design issues related to older adults' experiences with these games is needed.
A Cross-Sectional Survey on COVID-19 Vaccine Hesitancy Among Parents From Shandong vs. Zhejiang
Authors: Xu Yunyun , Xu Dongjuan , Luo Liyan , Ma Fengqiao , Wang Ping , Li Hongfei , Li Qing , Wei Lianyan , Diao Jiuzhou , Liu Yuanyuan , Zhang Weiqiang , Zheng Xiaolei 
Published: November 2021

Introduction:With the approval of COVID-19 vaccinations for children and adolescents in China, parental vaccine hesitancy will emerge as a new challenge with regard to the administration of these vaccines. However, little is known regarding this hesitancy as well as regional differences that may exist between parents from Shandong vs. Zhejiang.Methods:To assess these issues, an online survey was conducted via a Wenjuanxing platform over the period from July 22 to August 14, 2021. Parents from Shandong and Zhejiang were recruited from Wechat groups and results from a total of 917 subjects were analyzed. Factors evaluated in this survey included socio-demographic variables, parental vaccine hesitancy, Parental Attitudes toward Childhood Vaccines (PACV) domains (behavior, safety and efficacy, general attitudes) and social support.Results:Compared with those from Shandong (N= 443), parents from Zhejiang (N= 474) showed significantly higher prevalence rates of COVID-19 vaccine hesitancy (19.4 vs. 11.7%,p= 0.001). Multivariate logistic regression showed that yearly household incomes of ≥120,000 RMB (p= 0.041), medical workers (p= 0.022) and general attitudes of PACV (p= 0.004) were risk factors for vaccine hesitancy among parents from Shandong, while behavior (p= 0.004), safety and efficacy (p&lt; 0.001) and general attitudes of PACV (p= 0.002) were risk factors for parents from Zhejiang. Among parents with vaccine hesitancy (N= 144), concerns over side effects (91.0%) and unknown effects (84.0%) of the COVID-19 vaccine were the most prevalent reasons for hesitancy. Evidence providing proof of vaccine safety (67.4%) and assurance of a low risk of being infected by COVID-19 (60.4%) were the two most effective persuasive factors.Conclusion:Parents from Zhejiang showed a higher prevalence of COVID-19 vaccine hesitancy as compared with those from Shandong. Behavior, safety and efficacy, and general attitudes of PACV were the risk factors associated with this hesitancy in these parents from Zhejiang. Given the identification of the various reasons for parental vaccine hesitancy, different strategies as well as regional adjustments in these strategies will be required for an effective and convincing protocol for childhood vaccinations.
Linking Free Text Documentation of Functioning and Disability to the ICF With Natural Language Processing
Authors: Newman-Griffis Denis , Camacho Maldonado Jonathan , Ho Pei-Shu , Sacco Maryanne , Jimenez Silva Rafael , Porcino Julia , Chan Leighton 
Published: November 2021

Background: Invaluable information on patient functioning and the complex interactions that define it is recorded in free text portions of the Electronic Health Record (EHR). Leveraging this information to improve clinical decision-making and conduct research requires natural language processing (NLP) technologies to identify and organize the information recorded in clinical documentation.Methods: We used natural language processing methods to analyze information about patient functioning recorded in two collections of clinical documents pertaining to claims for federal disability benefits from the U.S. Social Security Administration (SSA). We grounded our analysis in the International Classification of Functioning, Disability, and Health (ICF), and used the Activities and Participation domain of the ICF to classify information about functioning in three key areas: mobility, self-care, and domestic life. After annotating functional status information in our datasets through expert clinical review, we trained machine learning-based NLP models to automatically assign ICF categories to mentions of functional activity.Results: We found that rich and diverse information on patient functioning was documented in the free text records. Annotation of 289 documents for Mobility information yielded 2,455 mentions of Mobility activities and 3,176 specific actions corresponding to 13 ICF-based categories. Annotation of 329 documents for Self-Care and Domestic Life information yielded 3,990 activity mentions and 4,665 specific actions corresponding to 16 ICF-based categories. NLP systems for automated ICF coding achieved over 80% macro-averaged F-measure on both datasets, indicating strong performance across all ICF categories used.Conclusions: Natural language processing can help to navigate the tradeoff between flexible and expressive clinical documentation of functioning and standardizable data for comparability and learning. The ICF has practical limitations for classifying functional status information in clinical documentation but presents a valuable framework for organizing the information recorded in health records about patient functioning. This study advances the development of robust, ICF-based NLP technologies to analyze information on patient functioning and has significant implications for NLP-powered analysis of functional status information in disability benefits management, clinical care, and research.
Perancangan E-Office Administrasi Pada Kantor Kelurahan Muara Bulian
Authors: Yulia  , Agus  , Ibnu Sani  , Irawan  , Agus Setiawan  
Published: November 2021

Management of administrative data at the Muara Bulian Village Office which is still conventional where data collection and reporting are still using bookkeeping, so that there is often difficulty in making letters, reports and searches, the absence of digital data back-up makes the administration process less efficient. So an efficient and effective information system is needed to support ticket sales bookkeeping. In addition, researchers also design computerized administrative applications. The benefit of this study is that it can improve the quality of service to the population. The results of this study are an administrative application as a tool for processing administrative data, letters and report generation. This application is expected to help employees of the Muara Bulian Village Office in providing the best service to the population.
Keywords: E-Office, administration, Village Office
Rancang Bangun Chatbot Reservasi Kelas Kursus Pada Stephen Komputer Jambi Dengan Metode Forward Chaining
Authors: FA Bambang  , Ronald  , Gunardi  
Published: November 2021

The Helpdesk or Customer Service division in providing information and assistance that related to course services at Stephen Komputer Jambi is currently still using a conventional system, such as services by phone or in person. Likewise, the reservation system or course class registration is still adopting the same system. This conventional service will certainly take a lot of time and money for both the customer and the company, where telephone service will certainly take up time and allow queues to occur. Customer service has limitations in serving customers because it can only serve during working hours and a limited number of personnel. Chatbot is an application that designed to communicate with machines. The Chatbot application is expected to be able to replace the role of customer service to be able to respond to customers more quickly, be able to serve several customers simultaneously and not be fixated on working hours. This application was built using an expert system with the forward chaining method. The final result of this research is a chatbot application that can serve customers in terms of information, assistance and course class reservations at Stephen Computer Jambi.
Keywords: Chatbot Helpdesk, Forward Chaining, botman, chatbot telegram.
Post-Pandemic Futures and the Affective Appeal of Immunity
Authors: Oikkonen Venla 
Published: November 2021

The COVID-19 pandemic has opened up futures for debate in an unprecedented manner and on an unforeseen scale. This article explores how ideas of immunity structured debates about pandemic management strategies as a means of securing a post-pandemic future during the first wave of the pandemic in 2020. Building on queer theorization of temporality, the article asks how ideas of COVID-19 immunity derive their affective appeal and cultural legitimacy, and what is at stake in the imagined futures that unfold from such visions of post-pandemic immunity. The analysis focuses on two affective figures that circulated widely
in public discourse in March–May 2020: the figure of the soon-immune nation and the figure of the immune individual. I unsettle these figures by contextual- izing them through the histories of immunity politics around race, gender and sexuality. The analysis shows that the two figures have long affective histories entangled with nationalism, racism and discrimination. The article argues that these histories shape and curtail the kinds of post-pandemic futures that may be enacted and imagined through popular ideas of immunity.
Beyond ISN/RPS Lupus Nephritis Classification: Adding Chronicity Index to Clinical Variables Predicts Kidney Survival
Authors: Moroni Gabriella , Porata Giulia , Raffiotta Francesca , Quaglini Silvana , Frontini Giulia , Sacchi Lucia , Binda Valentina , Calatroni Marta , Reggiani Francesco , Banfi Giovanni , Ponticelli Claudio 
Published: November 2021

Background
A renewed interest for activity and chronicity indices as predictors of lupus nephritis (LN) outcome has emerged. Revised National Institutes of Health activity and chronicity indices have been proposed to classify LN lesions, but they should be validated by future studies. The aims of this study were (1) to detect the histologic features associated with the development of kidney function impairment (KFI), and (2) to identify the best clinical-histologic model to predict KFI at time of kidney biopsy.

Methods
Patients with LN who had more than ten glomeruli per kidney biopsy specimen were admitted to the study. Univariate and multivariate logistic regression and Cox proportional hazards models were used to investigate whether activity and chronicity indices could predict KFI development.

Results
Among 203 participants with LN followed for 14 years, correlations were found between the activity index, and its components, and clinical-laboratory signs of active LN at baseline. The chronicity index was correlated with serum creatinine. Thus, serum creatinine was significantly and directly correlated with both activity and chronicity indices. In the multivariate analysis, glomerulosclerosis (OR, 3.05; 95% CI, 1.17 to 7.91; P=0.02) and fibrous crescents (OR, 6.84; 95% CI, 3.22 to 14.52; P<0.001) associated with either moderate/severe tubular atrophy (OR, 3.17; 95% CI, 1.04 to 9.64; P=0.04), or with interstitial fibrosis (OR, 2.36; 95% CI, 1.05 to 5.32; P=0.04), predicted KFI. Considering both clinical and histologic features, serum creatinine (OR, 1.68; 95% CI, 1.31 to 2.15; P<0.001), arterial hypertension (OR, 4.64; 95% CI, 1.90 to 11.32; P<0.001), glomerulosclerosis (OR, 2.12; 95% CI, 1.00 to 4.50; P=0.05), and fibrous crescents (OR, 5.18; 95% CI, 2.43 to 11.04; P<0.001) independently predicted KFI. Older age (P<0.001) and longer delay between clinical onset of LN and kidney biopsy (P<0.001) were significantly correlated with baseline chronicity index.

Conclusions
The chronicity index and its components, but not the activity index, were significantly associated with an impairment of kidney function. The Cox model showed that serum creatinine, arterial hypertension, chronic glomerular lesions, and delay in kidney biopsy predicted KFI. These data reinforce the importance of timely kidney biopsy in LN.
Peculiarities in Distance Learning of Foreign Language Using Moodle Platform
Authors: Hontarenko Iryna 
Published: November 2021

This article gives an overview of Moodle Learning Environment, what it involves, how it can benefit your teaching. The purpose is to clarify the appropriate way to reform education and to increase the learning effectiveness, create and introduce the advanced educational systems and technologies. Information and communication technologies have been adopted in education through online learning environments “platforms” and are used worldwide to offer complete courses, or even entire programmes in e-learning mode.
Theoretical and methodological base of the research in distance learning is raising the level and quality of methodological, didactic and information-related support of organizing the educational process for students and teachers. Technically, e-Learning system is constructed on the basis of a wide range of software products. As a methodological basis during this study, a descriptive method is employed that permits to look at the issues and advantages of distance learning from different sides. Besides general scientific methods of study, comparison and generalization are utilized in the article.
The results are the following. Nowadays, studying has essentially speeded the implementation of various forms and technologies of the e-learning, search for efficient methods of studying, has provoked the necessity for teachers to reinforce their level of mastering information and communication technologies, especially using the Moodle platform. Its main advantages are open, and free access, user-friendliness, tons of activity types aimed toward improving motivation and the interest of teachers, students. The article pays much attention to the peculiarities of using the platform also as offers several solutions for reported issues.
Thus, it is concluded that distance learning allows solving a variety of primary problems, which modern society poses to studying, and meets the requirements, and opportunities of recent students. But, like all tools, distance learning has its own strengths and weaknesses.
Ultrasonic nonlinear response of micro plastic damage on aluminum alloy plate with varying thickness
Authors: Zhao Guoliang , Liu Suzhen , Zhang Chuang , Jin Liang , Yang Qingxin 
Published: November 2021

Abstract
A plate with varying thickness (PWVT) is a common structure in engineering and the demand for its early damage detection is strong. In this paper, the distribution of plastic strain in PWVT subjected to uniaxial tension was studied and it proposed that the nonlinear parameter distributed linearly. Based on this assumption the wave equation in damaged PWVT was solved and the model of ultrasonic nonlinear response was established. The model showed that when the plastic deformation kept constant, A
2/A
1
2 increased quadratically with propagation and when the propagation distance kept constant, A
2/A
1
2 was proportional to the plastic deformation level. A
2/A
1
2 carried the damage information of PWVT. A detection platform was built in simulation and laboratory respectively to investigate the ultrasonic nonlinearity in damaged PWVT. The simulation and experimental results were in good agreement with the model, which indicated that the model could accurately describe the behavior of ultrasound propagating in PWVT.
13 kV SiC-DMOSFETs and body diodes for HVDC MMC converters
Authors: Nakayama Koji , Kuroiwa Takeharu , Yamaguchi Hiroshi 
Published: November 2021

Abstract
Power electronics utilizing SiC power devices will become key components in next-generation power systems based on renewable energy, which are becoming an urgent issue worldwide. In this study, the on-characteristics and switching characteristics of 13 kV SiC-double-implanted metal-oxide-semiconductor field-effect transistors (DMOSFETs) and their body diodes were measured. In particular, the carrier lifetime, which has a significant effect on electrical characteristics, was estimated from the dynamic characteristics of the body diodes. The short carrier lifetime resulted in a large on-state voltage and a small reverse recovery loss of the body diode. Moreover, a conceptual design of a modular multilevel converter-based high-voltage, large-capacity, and self-excited AC/DC converter with 13 kV SiC-DMOSFETs was conducted, and its characteristics were investigated. When the 13 kV SiC-DMOSFETs were applied, the ratio of the total device loss to the electricity power of the converter was 1.10%, which is a significant reduction of 50% compared with 2.17% when 6.5 kV Si-insulated gate bipolar transistors were used.
Analysis of process parameters of hypoeutectoid steel ultrasonic horns with different heat treatment processes
Authors: Nguyen Thanh-Hai , Nguyen Le Trung , Quynh Tran Thi Minh , Nguyen Ngoc Ha , Chung Vinh Tran-The 
Published: November 2021

Abstract
An ultrasonic horn operated at 28 kHz was simulated by finite element analysis. The horns and samples were formed from hypoeutectoid steel containing 0.178 wt% C and 1.3 wt% Cr. They were austenized at 875 °C with a soaking time of 33 min, then quickly water-quenched and oil-quenched. Tempering was performed at different temperatures (200 °C–500 °C) and soaking times (120–240 min). Over the cross-section, the hardness was consistently lower at the center position than at other positions. The maximum (minimum) hardness was achieved after water and oil quenching, tempering at low (high) temperature, and soaking for a short (long) time. Heat treatment decreased the anti-resonance frequency of the ultrasonic horns but increased the mechanical quality factor and the impedance at the anti-resonance frequency. The mechanical quality factor was proportional to both tempering temperature and soaking time. As shown in microstructural images, high mechanical quality was also related to small grain size.
Analysis of impurity doping in tunnel junction grown on core–shell structure composed of GaInN/GaN multiple-quantum-shells and GaN nanowire
Authors: Sone Naoki , Jinno Daiki , Miyamoto Yoshiya , Okuda Renji , Yamamura Shiori , Jinno Yukimi , Lu Weifang , Han Dong-Pyo , Okuno Koji , Mizutani Koichi , Nakajima Satoru , Koyama Jun , Ishimura Satoshi , Mayama Norihito , Iwaya Motoaki , Takeuchi Tetsuya , Kamiyama Satoshi , Akasaki Isamu 
Published: November 2021

Abstract
This study aimed to investigate and analyze the impurity doping characteristics in tunnel junctions (TJs) grown on core–shell structures, comprising GaInN/GaN multiple-quantum-shells (MQSs) and GaN nanowires. To this end, the impurity, structural, and electrical properties of the samples were characterized by scanning electron microscopy, scanning transmission electron microscopy, atom probe tomography (APT), nanoscale secondary ion mass spectrometry (NanoSIMS), and electroluminescence of the device which was fabricated for a prototype laser device to demonstrate an electrical operation of the MQSs layer. From the experimental results of NanoSIMS and APT, we demonstrated that the Mg-related problems in the TJ, such as the diffusion to the n++-GaN layer from the p+-GaN layer and formation of clusters in p+-GaN, are critical. Consequently, they cause a high operating voltage and dot-like spot emission of the light-emitting device. Based on the analysis, we suggested remedies and strategies to further improve the TJs that work well.
Digital Payment During Pandemic: An Extension of The Unified Model of QR Code
Authors: Musyaffi Ayatulloh Michael , Johari Razana Juhaida , Rosnidah Ida , Sari Dewi Agustin Pratama , Amal Muhammad Ihlashul , Tasyrifania Innaka , Ayu Pertiwia Sekar , Sutanti Febe Dwi 
Published: November 2021

QR Code Indonesian Standard (QRIS) is a digital payment system using a QR code that officially regulated in 2020. However, during the implementation of QRIS, there were still several problems, including security and data problems. The balance at the transaction time was not truncated, misuse of data, and application errors when scanning QR codes. This study aims to determine the factors that affect the acceptance of digital payments using QRIS. Especially those related to gaps in problems and research by combining the theory of acceptance and use of technology (UTAUT) and other variables that are also a problem in applying digital payments Security and Trust. The target population of this study is all digital payment users who use QRIS. Through the convenience sampling method, with a sample of 205 respondents. The questionnaire is distributed through an online questionnaire with Microsoft form. After that, the data will be evaluated using the Structural Equation Model (SEM) - Partial Least Square (PLS). The study results show that security as a reference is fundamental for users to increase their intention to use QR codes. Meanwhile, other components such as performance expectations and trust have proven to be essential components in initiating the intention to use digital payments using QR Code. However, not all variables from UTAUT have a significant impact, such as effory expectations. This is because an essential point in using digital payments using QR codes, especially during a pandemic, requires more security and productivity.

Received: 19 June 2021 / Accepted: 15 September 2021 / Published: 5 November 2021