bluuebunny/crossref_metadata_2025_split huggingface dataset:
What is the level of nutrition care provided to older adults attending emergency departments? A scoping review protocol.
Authors: Griffin Anne , Ryan Lorna , Conneely Mairéad , Bowers Sheila , Dore Liz , Galvin Rose 
Published: January 2022

Introduction: Nutrition status among older adults is an important factor in health and clinical outcomes but malnutrition goes unrecognised in routine health care. Older adults often present to emergency departments (ED) and are subsequently discharged without hospital admission. Discharge is a transitionary time of care when nutritional vulnerability could be mitigated with the instigation of targeted nutrition care pathways. This protocol outlines a scoping review to identify the level of nutrition care provided to older adults attending emergency departments. Methods: This scoping review will be conducted using the framework proposed by the Joanna Briggs Institute. The Preferred Reporting Items for Systematic Reviews and Meta-analysis extension for scoping reviews (PRISMA-ScR) will be used to guide the reporting. Two researchers will search electronic databases (Medline, CINAHL Complete, EMBASE, Cochrane Library and Scopus), grey literature sources (DART-Europe E-theses portal, Open Grey, and Trip Medical database) and website searches (Google, Google Scholar, Pubmed, NICE and LENUS) to identify appropriate data for inclusion within the last 10 years. Key information will be categorised and classified to generate a table charting the level of nutrition and dietetic care initiated for older adults in the ED according to the Nutrition Care Process Model. A narrative synthesis will be conducted. Conclusions: This scoping review will be used to inform a foundational concept of nutrition care in an ED setting and allow the future examination of nutrition care pathways, practice, policy, and research within models of integrated care for older persons.
A Dynamic Model of Player Level-Progression Decisions in Online Gaming
Authors: Zhao Yi , Yang Sha , Shum Matthew , Dutta Shantanu 
Published: January 2022

A key feature of online gaming, which serves as an important measure of consumer engagement with a game, is level progression, wherein players make play-or-quit decisions at each level of the game. Understanding users’ level-progression behavior is, therefore, fundamental to game designers. In this paper, we propose a dynamic model of consumer level-progression decisions to shed light on the underlying motivational drivers. We cast the individual play-or-quit decisions in a dynamic framework with forward-looking players and consumer learning about the evolution patterns of their operation efficiencies (defined as the average score earned per operation for passing a level). We develop a boundedly rational approach to model how individuals form predictions of their own operation efficiency and playing utility. This new approach allows researchers to flexibly capture players’ over/unbiased/underestimation tendencies and risk-averse/-neutral/-seeking preferences—two features that are particularly relevant when modeling game-playing behavior. We develop an algorithm for estimating such a dynamic model and apply our model to level-progression data from individual players with one online game. We find that players in the sample tend to overestimate their operation efficiency as their predicted values are significantly higher than the mean estimates inferred from their playing history with their completed levels. Furthermore, players are found to be risk-seeking with a moderate amount of uncertainty. We uncover two segments of players labeled as “experiencers” versus “achievers”—the former tend to derive a higher utility from the playing process, and the latter are more goal-oriented and derive a higher benefit from completing the entire game. Two counterfactual simulations demonstrate that the proposed model can help adjust the uncertainty level and configure a more effective level-progression point schedule to better engage players and improve the game developer’s revenue. This paper was accepted by David Simchi-Levi, marketing.
Exposure to Workplace Sexual Harassment among Women and Men Farmworkers in the U.S. and Mexico
Authors: Prado Kimberly Y. , Rivera-Heredia Maria Elena , McCurdy Stephen A. 
Published: January 2022

HighlightsWomen and men farmworkers reported workplace sexual harassment (WSH).WSH occurred as frequently as daily.Both coworkers and leadership were perpetrators of WSH.Abstract. This study explores experiences relevant to workplace sexual harassment (WSH) in agriculture among men and women farmworkers in California (U.S.) and Michoacán (Mexico). Anecdotal evidence documents women farmworkers having to endure behavioral, verbal, and physical WSH including sexual ogling, degrading language, groping, and requests for sex in exchange for work. We include survey comparisons between men and women in California and Michoacan on WSH among farmworkers. We conducted 197 farmworker surveys (38 men and 59 women in California; 40 men and 60 women in Michoacán). Community advisory boards contributed expertise and input for study strategies, materials, and dissemination. Survey participant ages ranged from 23 to 54 years old. Half worked in Mexico, 68% were married, 80% had children, and 47% had less than 7 years of education. Most farmworkers spoke Spanish and Purhépecha, an indigenous language spoken by the Purhépecha people in Michoacán. We used two strategies to measure WSH exposure in the previous year: (1) direct inquiry-based survey items (asking “Have you ever been the victim of or bystander to workplace sexual harassment?”) documenting WSH among women (49%) and men (21%) in California and among women (7%) and men (13%) in Michoacán, and (2) behavior-based WSH items (using explicit examples of WSH behaviors perpetrated against the participant or witnessed by the participant as a bystander) documenting WSH among women (as high as 53%) and men (as high as 45%) in California and among women (as high as 65%) and men (as high as 68%) in Michoacán. Women farmworkers in California reported WSH experiences exceeding those of men. Reported WSH experiences in Michoacán were similar for men and women. Farmworkers identified WSH perpetrators as coworkers more than leadership. The frequency of exposure ranged from daily, weekly, monthly, and up to multiple times a year. Of 46 direct inquiry-based WSH incidents, only one perpetrator was punished, and at least half of all victims said they were forced to change their jobs. The findings of this study inform the development of WSH prevention efforts, such as education tools, support for efforts to facilitate reporting, protections against retaliation for workers, and promoting accountability for perpetrators. This information supports the promotion of policy recommendations and preventive approaches for WSH. Keywords: Agricultural worker, Community-based participatory research, Indigenous, Latino, Sexual harassment, Workplace violence.
Ultralow-frequency ultranarrow-bandwidth coherent terahertz imaging for nondestructive testing of mortar material
Authors: Tokizane Yu , Yamaguchi Takayoshi , Minamikawa Takeo , Hase Eiji , Yamaguchi Kenzo , Suzuki Akihiro , Ueda Takao , Yasui Takeshi 
Published: January 2022

Nondestructive testing of concrete materials is essential in civil engineering to maintain social infrastructure such as buildings or bridges. In this study, we constructed an ultralow-frequency, ultranarrow-bandwidth, coherent terahertz (THz) imaging system based on THz time-domain spectroscopy (THz-TDS). Based on its ultralow-frequency-localized THz wave and coherent detection, the present system achieved a wide dynamic range of THz power over 100 dB at 0.046 THz, which is appropriate to measure the mortar material. The achieved dynamic range of the THz power was 59 dB larger than that of a commercialized THz-TDS system and 49 dB larger than that of an ultralow-frequency noncoherent THz imaging system equipped with a high-power electric THz source. Ultimately, the proposed system could visualize the inner structure of a mortar sample with a thickness of 10 mm, and the present system can investigate a mortar sample with a thickness of over 130 mm. The proposed method is an attractive tool for non-destructive testing of thick concrete structures characterized by non-invasiveness and non-contact remoteness.
Task of leadership for intercultural opening strategies in organizations in adult and continuing education
Authors: Muders Sonja , Martin Andreas 
Published: January 2022

AbstractIn view of the growing number of people with a migration background, continuing education organizations are faced with strategic tasks of intercultural opening. These tasks require leaders to initiate and expand integration-promoting teaching work, to promote the intercultural sensitization of the members of the organization, and to develop an intercultural culture. This is a wide issue and concerns leadership action regarding funding, regular and special course programs, training for staff and lecturers, intercultural training, etc. In this qualitative study, the types of intercultural openness adopted by the management of adult education centers were categorized into proactive, reflexive, ambivalent, and symbolic types of openness. Using the procedure of exploratory sequential design, hypotheses were tested with the aim of gaining information that would facilitate broader statements about the field of adult education providers. The quantitative distribution was analyzed using a data set called ‘wbmonitor’ and a regional data set.
Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam
Authors: Ming Damien K. , Hernandez Bernard , Sangkaew Sorawat , Vuong Nguyen Lam , Lam Phung Khanh , Nguyet Nguyen Minh , Tam Dong Thi Hoai , Trung Dinh The , Tien Nguyen Thi Hanh , Tuan Nguyen Minh , Chau Nguyen Van Vinh , Tam Cao Thi , Chanh Ho Quang , Trieu Huynh Trung , Simmons Cameron P. , Wills Bridget , Georgiou Pantelis , Holmes Alison H. , Yacoub Sophie ,   on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) investigators
Published: January 2022

Background
Identifying patients at risk of dengue shock syndrome (DSS) is vital for effective healthcare delivery. This can be challenging in endemic settings because of high caseloads and limited resources. Machine learning models trained using clinical data could support decision-making in this context.

Methods
We developed supervised machine learning prediction models using pooled data from adult and paediatric patients hospitalised with dengue. Individuals from 5 prospective clinical studies in Ho Chi Minh City, Vietnam conducted between 12th April 2001 and 30th January 2018 were included. The outcome was onset of dengue shock syndrome during hospitalisation. Data underwent random stratified splitting at 80:20 ratio with the former used only for model development. Ten-fold cross-validation was used for hyperparameter optimisation and confidence intervals derived from percentile bootstrapping. Optimised models were evaluated against the hold-out set.

Findings
The final dataset included 4,131 patients (477 adults and 3,654 children). DSS was experienced by 222 (5.4%) of individuals. Predictors were age, sex, weight, day of illness at hospitalisation, indices of haematocrit and platelets over first 48 hours of admission and before the onset of DSS. An artificial neural network model (ANN) model had best performance with an area under receiver operator curve (AUROC) of 0.83 (95% confidence interval [CI], 0.76–0.85) in predicting DSS. When evaluated against the independent hold-out set this calibrated model exhibited an AUROC of 0.82, specificity of 0.84, sensitivity of 0.66, positive predictive value of 0.18 and negative predictive value of 0.98.

Interpretation
The study demonstrates additional insights can be obtained from basic healthcare data, when applied through a machine learning framework. The high negative predictive value could support interventions such as early discharge or ambulatory patient management in this population. Work is underway to incorporate these findings into an electronic clinical decision support system to guide individual patient management.
A nationwide school fruit and vegetable policy and childhood and adolescent overweight: A quasi-natural experimental study
Authors: Øvrebø Bente , Stea Tonje H. , Bergh Ingunn H. , Bere Elling , Surén Pål , Magnus Per , Juliusson Petur B. , Wills Andrew K. 
Published: January 2022

Background
School free fruit and vegetable (FFV) policies are used to promote healthy dietary habits and tackle obesity; however, our understanding of their effects on weight outcomes is limited. We assess the effect of a nationwide FFV policy on childhood and adolescent weight status and explore heterogeneity by sex and socioeconomic position.

Methods and findings
This study used a quasi-natural experimental design. Between 2007 and 2014, Norwegian combined schools (grades 1–10, age 6 to 16 years) were obligated to provide FFVs while elementary schools (grades 1–7) were not. We used 4 nationwide studies (n = 11,215 children) from the Norwegian Growth Cohort with longitudinal or cross-sectional anthropometric data up to age 8.5 and 13 years to capture variation in FFV exposure. Outcomes were body mass index standard deviation score (BMISDS), overweight and obesity (OW/OB), waist circumference (WC), and weight to height ratio (WtHR) at age 8.5 years, and BMISDS and OW/OB at age 13 years. Analyses included longitudinal models of the pre- and post-exposure trajectories to estimate the policy effect. The participation rate in each cohort was >80%, and in most analyses <4% were excluded due to missing data. Estimates were adjusted for region, population density, and parental education. In pooled models additionally adjusted for pre-exposure BMISDS, there was little evidence of any benefit or unintended consequence from 1–2.5 years of exposure to the FFV policy on BMISDS, OW/OB, WC, or WtHR in either sex. For example, boys exposed to the FFV policy had a 0.05 higher BMISDS (95% CI: −0.04, 0.14), a 1.20-fold higher odds of OW/OB (95% CI: 0.86, 1.66) and a 0.3 cm bigger WC (95% CI: −0.3, 0.8); while exposed girls had a 0.04 higher BMISDS (95% CI: −0.04, 0.13), a 1.03 fold higher odds of OW/OB (95% CI: 0.75, 1.39), and a 0-cm difference in WC (95% CI: −0.6, 0.6). There was evidence of heterogeneity in the policy effect estimates at 8.5 years across cohorts and socioeconomic position; however, these results were inconsistent with other comparisons. Analysis at age 13 years, after 4 years of policy exposure, also showed little evidence of an effect on BMISDS or OW/OB. The main limitations of this study are the potential for residual confounding and exposure misclassification, despite efforts to minimize their impact on conclusions.

Conclusions
In this study we observed little evidence that the Norwegian nationwide FFV policy had any notable beneficial effect or unintended consequence on weight status among Norwegian children and adolescents.
An evidence-based, structured, expert approach to selecting essential indicators of primary care quality
Authors: Hysong Sylvia J. , Arredondo Kelley , Hughes Ashley M. , Lester Houston F. , Oswald Frederick L. , Petersen Laura A. , Woodard LeChauncy , Post Edward , DePeralta Shelly , Murphy Daniel R. , McKnight Jason , Nelson Karin , Haidet Paul 
Published: January 2022

Background
The purpose of this article is to illustrate the application of an evidence-based, structured performance measurement methodology to identify, prioritize, and (when appropriate) generate new measures of health care quality, using primary care as a case example. Primary health care is central to the health care system and health of the American public; thus, ensuring high quality is essential. Due to its complexity, ensuring high-quality primary care requires measurement frameworks that can assess the quality of the infrastructure, workforce configurations, and processes available. This paper describes the use of the Productivity Measurement and Enhancement System (ProMES) to compile a targeted set of such measures, prioritized according to their contribution and value to primary care.

Methods
We adapted ProMES to select and rank existing primary care measures according to value to the primary care clinic. Nine subject matter experts (SMEs) consisting of clinicians, hospital leaders and national policymakers participated in facilitated expert elicitation sessions to identify objectives of performance, corresponding measures, and priority rankings.

Results
The SMEs identified three fundamental objectives: access, patient-health care team partnerships, and technical quality. The SMEs also selected sixteen performance indicators from the 44 pre-vetted, currently existing measures from three different data sources for primary care. One indicator, Team 2-Day Post Discharge Contact Ratio, was selected as an indicator of both team partnerships and technical quality. Indicators were prioritized according to value using the contingency functions developed by the SMEs.

Conclusion
Our article provides an actionable guide to applying ProMES, which can be adapted to the needs of various industries, including measure selection and modification from existing data sources, and proposing new measures. Future work should address both logistical considerations (e.g., data capture, common data/programming language) and lingering measurement challenges, such as operationalizating measures to be meaningful and interpretable across health care settings.
Prediction model of acute kidney injury induced by cisplatin in older adults using a machine learning algorithm
Authors: Okawa Takaya , Mizuno Tomohiro , Hanabusa Shogo , Ikeda Takeshi , Mizokami Fumihiro , Koseki Takenao , Takahashi Kazuo , Yuzawa Yukio , Tsuboi Naotake , Yamada Shigeki , Kameya Yoshitaka 
Published: January 2022

Background
Early detection and prediction of cisplatin-induced acute kidney injury (Cis-AKI) are essential for the management of patients on chemotherapy with cisplatin. This study aimed to evaluate the performance of a prediction model for Cis-AKI.

Methods
Japanese patients, who received cisplatin as the first-line chemotherapy at Fujita Health University Hospital, were enrolled in the study. The main metrics for evaluating the machine learning model were the area under the curve (AUC), accuracy, precision, recall, and F-measure. In addition, the rank of contribution as a predictive factor of Cis-AKI was determined by machine learning.

Results
A total of 1,014 and 226 patients were assigned to the development and validation data groups, respectively. The current prediction model showed the highest performance in patients 65 years old and above (AUC: 0.78, accuracy: 0.77, precision: 0.38, recall: 0.70, F-measure: 0.49). The maximum daily cisplatin dose and serum albumin levels contributed the most to the prediction of Cis-AKI.

Conclusion
Our prediction model for Cis-AKI performed effectively in older patients.
The impact of Movement Control Order during the COVID-19 pandemic on lifestyle behaviours and body weight changes: Findings from the MyNutriLifeCOVID-19 online survey
Authors: Chin Yit Siew , Woon Fui Chee , Chan Yoke Mun 
Published: January 2022

Background
The COVID-19 pandemic lockdowns have affected daily lives of the communities worldwide. This study aims to determine the lifestyle behaviours and their associations with body weight changes among Malaysian adults during the Movement Control Order (MCO) due to COVID-19 pandemic.

Methods
A total of 1319 Malaysian adults participated in this cross-sectional online survey. Information on anthropometric data including body weight and height, and lifestyle behaviours including eating pattern, physical activity, and sleep pattern were self-reported by the respondents. A multivariable generalised linear mixed model was used to assess the associations between lifestyle behaviours and body weight changes with adjustment of confounding factors; namely, age, sex, ethnicity, and body weight status before MCO.

Results
During MCO, 41.2% of the respondents perceived that their eating patterns were healthier, but 36.3% reduced their physical activities, and 25.7% had a poorer sleep quality. Further, the proportion of adults who reported having lose weight (32.2%) was almost similar to those who reported having gained weight (30.7%). Lifestyle behaviours including less frequent practice of healthy cooking methods and lunch skipping were associated with weight gain, while less frequent consumption of high fat foods, more frequent physical activity, and good sleep latency were associated with lower risk of weight gain. In contrast, practicing healthy eating concept, skipped lunch, and more frequent physical activity were significantly associated with weight loss.

Conclusion
Lifestyle behaviours were associated with body weight changes during MCO. While the COVID-19 pandemic lockdown is necessary to prevent further spread of the disease, promoting healthy lifestyle practices during lockdown should be implemented for a healthy weight and better health.
The importance of body composition assessment for patients with advanced hepatocellular carcinoma by bioelectrical impedance analysis in lenvatinib treatment
Authors: Yamaoka Kenji , Kodama Kenichiro , Kawaoka Tomokazu , Kosaka Masanari , Johira Yusuke , Shirane Yuki , Miura Ryoichi , Yano Shigeki , Murakami Serami , Amioka Kei , Naruto Kensuke , Ando Yuwa , Kosaka Yumi , Uchikawa Shinsuke , Uchida Takuro , Fujino Hatsue , Nakahara Takashi , Murakami Eisuke , Okamoto Wataru , Yamauchi Masami , Miki Daiki , Imamura Michio , Takahashi Shoichi , Nagao Akiko , Chayama Kazuaki , Aikata Hiroshi 
Published: January 2022

Background and aims
The aim of this study was to investigate the relationship between body composition before lenvatinib treatment and prognosis in patients with hepatocellular carcinoma (HCC). We also assessed the relationship between the rate of change in body composition after lenvatinib treatment and prognosis.

Methods
Eighty-one patients with advanced HCC who were treated with lenvatinib were enrolled. We assessed prognosis, various clinical data, body composition parameters obtained by bioelectrical impedance analysis (BIA), and handgrip strength.

Results
Multivariate analysis showed that an extracellular water to total body water ratio (ECW/TBW) ≤ 0.400 at treatment initiation was associated with longer overall survival (OS), progression-free survival (PFS), and post-progression survival (PPS) (OS: hazard ratio [H0R], 4.72; 95% CI, 12.03–11.00; P < 0.001; PFS: HR, 2.66; 95% CI, 1.33–5.34; P = 0.0057; PPS: HR, 3.08; 95% CI, 1.32–7.18; P = 0.0093). Multivariate analysis also showed that the skeletal muscle mass index (SMI) of the arm at treatment initiation was associated with a longer PFS (HR, 2.12; 95% CI, 1.23–3.64; P = 0.0069). In the group with an ECW/TBW ≤ 0.400 before lenvatinib treatment, univariate analysis showed that the rate of change in only the arm SMI was associated with a longer OS and PFS.

Conclusion
Body composition assessment by BIA before and after lenvatinib treatment is useful in predicting prognosis in lenvatinib-treated patients with HCC.