bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating the prevalence of primary headache disorders in university students: Application of the Croatian version of the HARDSHIP questionnaire
Authors: Jakuš Lukrecija , Mahović Darija , Jokić Claire Alexandra Sangster , Bračić Matea , Jurak Ivan 
Published: February 2023

Background: Studies reporting the prevalence of headaches in Croatia have methodological differences that make it difficult to consolidate their results. This study aimed to assess the prevalence of the most common primary headaches in a student population using the standardized HARDSHIP questionnaire (in Croatian). Methods: This cross-sectional epidemiological study collected data regarding the 1-year prevalence of headaches in a student population using the diagnostic algorithm of the HARDSHIP questionnaire. The chi-squared test was used to analyze gender differences, and Cramer’s V was used for effect size interpretation. Results: The questionnaire was administered to 1350 university students enrolled in health profession programs (81.3% female; 18.7% male; average age: 23 years). The 1-year prevalence of migraine was 38.9% (male: female ratio, 1:1.5), and that of tension-type headache was 35.6% (male: female ratio, 1:0.9). Overall, 91.0% of participants responded positively to the question regarding the incidence of headache in the past 12 months. Conclusions: We report a high prevalence of primary headaches among students of health professions in Croatia. The differences in prevalence may be attributed to various sociocultural, geographical, genetic, and methodological differences. Population-specific studies may facilitate a more accurate assessment of headache prevalence and enable more effective targeting of public health activities.
A flexible ultra-highly sensitive capacitive pressure sensor for basketball motion monitoring
Authors: Gao Huijie , Chen Tiangeng 
Published: February 2023

AbstractRecently, flexible sensors with high sensitivity have been applied in wearable sports sensing field. Here, we reported a flexible and sensitive capacitive pressure sensor based on nylon textile and polyvinylidene fluoride (PVDF) dielectric film. From the experimental results, the sensor has an extremely high sensitivity of 33.5 kPa−1, a low detection limit of 0.84 Pa, a quick response time of 27 ms. Moreover, the pressure sensor shows excellent reliability under over 100,000 working cycles. With their superior overall performance, capacitive sensors have effectively proved their enormous potential for basketball motion monitoring. This research will promote the development of wearable sports sensors.
A review on microfluidic-assisted nanoparticle synthesis, and their applications using multiscale simulation methods
Authors: Agha Abdulrahman , Waheed Waqas , Stiharu Ion , Nerguizian Vahé , Destgeer Ghulam , Abu-Nada Eiyad , Alazzam Anas 
Published: February 2023

AbstractRecent years have witnessed an increased interest in the development of nanoparticles (NPs) owing to their potential use in a wide variety of biomedical applications, including drug delivery, imaging agents, gene therapy, and vaccines, where recently, lipid nanoparticle mRNA-based vaccines were developed to prevent SARS-CoV-2 causing COVID-19. NPs typically fall into two broad categories: organic and inorganic. Organic NPs mainly include lipid-based and polymer-based nanoparticles, such as liposomes, solid lipid nanoparticles, polymersomes, dendrimers, and polymer micelles. Gold and silver NPs, iron oxide NPs, quantum dots, and carbon and silica-based nanomaterials make up the bulk of the inorganic NPs. These NPs are prepared using a variety of top-down and bottom-up approaches. Microfluidics provide an attractive synthesis alternative and is advantageous compared to the conventional bulk methods. The microfluidic mixing-based production methods offer better control in achieving the desired size, morphology, shape, size distribution, and surface properties of the synthesized NPs. The technology also exhibits excellent process repeatability, fast handling, less sample usage, and yields greater encapsulation efficiencies. In this article, we provide a comprehensive review of the microfluidic-based passive and active mixing techniques for NP synthesis, and their latest developments. Additionally, a summary of microfluidic devices used for NP production is presented. Nonetheless, despite significant advancements in the experimental procedures, complete details of a nanoparticle-based system cannot be deduced from the experiments alone, and thus, multiscale computer simulations are utilized to perform systematic investigations. The work also details the most common multiscale simulation methods and their advancements in unveiling critical mechanisms involved in nanoparticle synthesis and the interaction of nanoparticles with other entities, especially in biomedical and therapeutic systems. Finally, an analysis is provided on the challenges in microfluidics related to nanoparticle synthesis and applications, and the future perspectives, such as large-scale NP synthesis, and hybrid formulations and devices.
Graphical abstract
Impact of bystander cardiopulmonary resuscitation on neurological outcomes in patients undergoing veno-arterial extracorporeal membrane oxygenation
Authors: Shimai Ryosuke , Ouchi Shohei , Miyazaki Tetsuro , Hirabayashi Koji , Abe Hiroshi , Yabe Kosuke , Kakihara Midori , Maki Masaaki , Isogai Hiroyuki , Wada Takeshi , Ozaki Dai , Yasuda Yuki , Odagiri Fuminori , Takamura Kazuhisa , Yaginuma Kenji , Yokoyama Ken , Tokano Takashi , Minamino Tohru 
Published: February 2023

Abstract
Background
Veno-arterial extracorporeal membrane oxygenation (V-A ECMO) requires a large amount of economic and human resources. The presence of bystander cardiopulmonary resuscitation (CPR) was focused on selecting appropriate V-A ECMO candidates.

Result
This study retrospectively enrolled 39 patients with V-A ECMO due to out-of-hospital cardiac arrest (CA) between January 2010 and March 2019. The introduction criteria of V-A ECMO included the following: (1) < 75 years old, (2) CA on arrival, (3) < 40 min from CA to hospital arrival, (4) shockable rhythm, and (5) good activity of daily living (ADL). The prescribed introduction criteria were not met by 14 patients, but they were introduced to V-A ECMO at the discretion of their attending physicians and were also included in the analysis. Neurological prognosis at discharge was defined using The Glasgow-Pittsburgh Cerebral Performance and Overall Performance Categories of Brain Function (CPC). Patients were divided into good or poor neurological prognosis (CPC ≤ 2 or ≥ 3) groups (8 vs. 31 patients). The good prognosis group had a significantly larger number of patients who received bystander CPR (p = 0.04). The mean CPC at discharge was compared based on the combination with the presence of bystander CPR and all five original criteria. Patients who received bystander CPR and met all original five criteria showed significantly better CPC than patients who did not receive bystander CPR and did not meet some of the original five criteria (p = 0.046).

Conclusion
Considering the presence of bystander CPR help in selecting the appropriate candidate of V-A ECMO among out-of-hospital CA cases.
Sustainable mobility strategies deconstructed: a taxonomy of urban vehicle access regulations
Authors: Fransen Koos , Versigghel Jente , Guzman Vargas Daniel , Semanjski Ivana , Gautama Sidharta 
Published: February 2023

Abstract
Background
In recent decades, cities worldwide are increasingly adopting vehicle access policies and technologies to alleviate the negative externalities related to high car use in the urban built environments. As such, car-oriented infrastructures and mobility policies implemented post-World War II are giving way to sustainable mobility strategies that aim to make cities healthier, more livable and more inclusive for all.

Purpose
Most of these strategies are considered as stand-alone cases related to a specific environmental, political and social urban context. However, similarities and patterns between different strategies can provide information on the replicability of mobility strategies in other urban contexts.

Methods
Through a literature review, this paper illustrates the wide range of urban vehicle access regulations (UVAR) applied within sustainable mobility strategies. In addition, we critically examine the process from ideation over design and implementation to operation phase for 12 West-European cities and define what measures are combined to end up with a sustainable mobility strategy.

Results
This results in a taxonomy of UVAR interventions, subdivided in three categories: spatial interventions, pricing aspects and regulatory measures. We also highlight a number of complementary supportive measures implemented to counter the often restrictive nature of UVAR.

Results
The paper shows that the strategies highlighted in the case studies are an amalgam of different UVAR and supportive measures. As such, deconstructing various sustainable mobility strategies enables us to shed light on the available UVAR options cities can combine to define consistent and robust sustainable mobility strategies.
LincRNA ZNF529-AS1 inhibits hepatocellular carcinoma via FBXO31 and predicts the prognosis of hepatocellular carcinoma patients
Authors: Ma Yang , Sun Wan-liang , Ma Shuo Shuo , Zhao Guanru , Liu Zhong , Lu Zheng , Zhang Dengyong 
Published: February 2023

Abstract
Background
Invasion and metastasis of hepatocellular carcinoma (HCC) is still an important reason for poor prognosis. LincRNA ZNF529-AS1 is a recently identified tumour-associated molecule that is differentially expressed in a variety of tumours, but its role in HCC is still unclear. This study investigated the expression and function of ZNF529-AS1 in HCC and explored the prognostic significance of ZNF529-AS1 in HCC.

Methods
Based on HCC information in TCGA and other databases, the relationship between the expression of ZNF529-AS1 and clinicopathological characteristics of HCC was analysed by the Wilcoxon signed-rank test and logistic regression. The relationship between ZNF529-AS1 and HCC prognosis was evaluated by Kaplan‒Meier and Cox regression analyses. The cellular function and signalling pathways involved in ZNF529-AS1 were analysed by GO and KEGG enrichment analysis. The relationship between ZNF529-AS1 and immunological signatures in the HCC tumour microenvironment was analysed by the ssGSEA algorithm and CIBERSORT algorithm. HCC cell invasion and migration were investigated by the Transwell assay. Gene and protein expression were detected by PCR and western blot analysis, respectively.

Results
ZNF529-AS1 was differentially expressed in various types of tumours and was highly expressed in HCC. The expression of ZNF529-AS1 was closely correlated with the age, sex, T stage, M stage and pathological grade of HCC patients. Univariate and multivariate analyses showed that ZNF529-AS1 was significantly associated with poor prognosis of HCC patients and could be an independent prognostic indicator of HCC. Immunological analysis showed that the expression of ZNF529-AS1 was correlated with the abundance and immune function of various immune cells. Knockdown of ZNF529-AS1 in HCC cells inhibited cell invasion and migration and inhibited the expression of FBXO31.

Conclusion
ZNF529-AS1 could be a new prognostic marker for HCC. FBXO31 may be the downstream target of ZNF529-AS1 in HCC.
CHARMS and PROBAST at your fingertips: a template for data extraction and risk of bias assessment in systematic reviews of predictive models
Authors: Fernandez-Felix Borja M. , López-Alcalde Jesus , Roqué Marta , Muriel Alfonso , Zamora Javier 
Published: February 2023

Abstract
Background
Systematic reviews of studies of clinical prediction models are becoming increasingly abundant in the literature. Data extraction and risk of bias assessment are critical steps in any systematic review. CHARMS and PROBAST are the standard tools used for these steps in these reviews of clinical prediction models.

Results
We developed an Excel template for data extraction and risk of bias assessment of clinical prediction models including both recommended tools. The template makes it easier for reviewers to extract data, to assess the risk of bias and applicability, and to produce results tables and figures ready for publication.

Conclusion
We hope this template will simplify and standardize the process of conducting a systematic review of prediction models, and promote a better and more comprehensive reporting of these systematic reviews.
Clinical expressions, characteristics and treatments of confirmed COVID-19 in nursing home residents: a systematic review
Authors: Nilsen Anita , Lichtwarck Bjørn , Eriksen Siren , Mork Rokstad Anne Marie 
Published: February 2023

Abstract
Background
The coronavirus 2019 (COVID-19) pandemic has led to a high rate of infections, frequent outbreaks, and high mortality rates in nursing homes (NH) worldwide. To protect and improve the treatment and care of the vulnerable NH population, it is pivotal to systematise and synthesise data from cases of COVID-19 among NH residents. In our systematic review, we therefore aimed to describe the clinical expressions, characteristics, and treatments of NH residents confirmed to have COVID-19.

Methods
We conducted two comprehensive literature searches in several electronic databases: (1) PubMed, (2) CINAHL, (3) AgeLine, (4) Embase, and (5) PsycINFO in April and July 2021. Of the 438 articles screened, 19 were included in our sample, and we used the Newcastle–Ottawa Assessment Scale to assess the quality of the reported studies. A weighted mean (Mweighted), was calculated to account for the large variation in sample sizes of the studies, and due to heterogeneity among the studies, we report our findings in a narrative synthesis.

Results
According to the mean weights (Mweighted), common symptoms and signs in NH residents confirmed to have COVID-19 were fever (53.7%), cough (56.5%), hypoxia (32.3%), and delirium or confusion (31.2%). Common comorbidities were hypertension (78.6%), dementia or cognitive impairment (55.3%), and cardiovascular diseases (52.0%). Six studies presented data concerning medical and pharmacological treatments, such as inhalers, oxygen supplementation, anticoagulation, and parenteral/enteral fluids or nutrition. The treatments were used to improve outcomes, as part of palliative care, or as end-of-life treatment. Transfers to hospital for NH residents with confirmed COVID-19 were reported in six of the included studies, and the rate of hospital transfers ranged from 6.9% to 50% in this population. In the 17 studies reporting mortality, 40.2% of the NH residents died during the studies’ observation periods.

Conclusions
Our systematic review allowed us to summarise important clinical findings about COVID-19 among NH residents and to identify the population’s risk factors for serious illness and death caused by the disease. However, the treatment and care of NH residents with severe COVID-19 warrant further investigation.
Injectable long acting antiretroviral for HIV treatment and prevention: perspectives of potential users
Authors: Slama Laurence , Porcher Raphael , Linard Françoise , Chakvetadze Catherine , Cros Agnès , Carillon Séverine , Gallardo Lucille , Viard Jean-Paul , Molina Jean-Michel 
Published: February 2023

Abstract
Background
The use of long acting injectable (LAA) antiretroviral drugs may be an alternative option for HIV treatment and prevention. Our study focused on patient perspectives to understand which individuals, among people with HIV (PWH) and pre-exposure prophylaxis (PrEP) users, would constitute the preferential target for such treatments in terms of expectations, tolerability, adherence and quality of life.

Methods
The study consisted in one self-administrated questionnaire. Data collected included lifestyle issues, medical history, perceived benefits and inconveniences of LAA. Groups were compared using Wilcoxon rank tests or Fisher’s exact test.

Results
In 2018, 100 PWH and 100 PrEP users were enrolled. Overall, 74% of PWH and 89% of PrEP users expressed interest for LAA with a significantly higher rate for PrEP users (p = 0.001). No characteristics were associated with acceptance of LAA in both groups in term of demographics, lifestyle or comorbidities.

Conclusion
PWH and PrEP users expressed a high level of interest in LAA, since a large majority seems to be in favor of this new approach. Further studies should be conducted to better characterize targeted individuals.
The effect of the 2009 revised U.S. guidelines for gestational weight gain on maternal and infant health: a quasi-experimental study
Authors: Collin Daniel F. , Pulvera Richard , Hamad Rita 
Published: February 2023

Abstract
Background
Excess gestational weight gain (GWG) has adverse short- and long-term effects on the health of mothers and infants. In 2009, the US Institute of Medicine revised its guidelines for GWG and reduced the recommended GWG for women who are obese. There is limited evidence on whether these revised guidelines affected GWG and downstream maternal and infant outcomes.

Methods
We used data from the 2004–2019 waves of the Pregnancy Risk Assessment Monitoring System, a serial cross-sectional national dataset including over 20 states. We conducted a quasi-experimental difference-in-differences analysis to assess pre/post changes in maternal and infant outcomes among women who were obese, while “differencing out” the pre/post changes among a control group of women who were overweight. Maternal outcomes included GWG and gestational diabetes; infant outcomes included preterm birth (PTB), low birthweight (LBW), and very low birthweight (VLBW). Analysis began in March 2021.

Results
There was no association between the revised guidelines and GWG or gestational diabetes. The revised guidelines were associated with reduced PTB (− 1.19% points, 95%CI: − 1.86, − 0.52), LBW (− 1.38% points 95%CI: − 2.07, − 0.70), and VLBW (− 1.30% points, 95%CI: − 1.68, − 0.92). Results were robust to several sensitivity analyses.

Conclusion
The revised 2009 GWG guidelines were not associated with changes in GWG or gestational diabetes but were associated with improvements in infant birth outcomes. These findings will help inform further programs and policies aimed at improving maternal and infant health by addressing weight gain in pregnancy.
A randomized controlled trial of surf and hike therapy for U.S. active duty service members with major depressive disorder
Authors: Walter Kristen H. , Otis Nicholas P. , Ray Travis N. , Glassman Lisa H. , Beltran Jessica L. , Kobayashi Elliott Kim T. , Michalewicz-Kragh Betty 
Published: February 2023

Abstract
Background
Major depressive disorder (MDD) is the most prevalent mental health disorder worldwide, including among U.S. service members. In addition to evidence-based treatments, activity-based approaches have been shown to effectively treat depressive symptoms, particularly when they occur in the natural environment.

Methods
This study compared two activity-based interventions, Surf Therapy and Hike Therapy, on depression outcomes among 96 active duty service members with MDD. Participants were randomized to 6 weeks of Surf or Hike Therapy. Clinician-administered and self-report measures were completed at preprogram, postprogram, and 3-month follow-up. A brief depression/anxiety measure was completed before and after each activity session.

Results
Multilevel modeling results showed that continuous depression outcomes changed significantly over time (ps < .001). Although service members in Hike Therapy reported higher average depression scores than those in Surf Therapy, the trajectory of symptom improvement did not significantly differ between groups. Regarding MDD diagnostic status, there were no significant differences between the groups at postprogram (p = .401), but Surf Therapy participants were more likely to remit from MDD than were those in Hike Therapy at the 3-month follow-up (p = .015).

Limitations
The sample consisted of service members, so results may not generalize to other populations. Most participants received concurrent psychotherapy or pharmacotherapy, and, although statistically accounted for, results should be interpreted in this context.

Conclusions
Both Surf and Hike Therapies appear to be effective adjunctive interventions for service members with MDD. Research is needed to examine the effectiveness of these therapies as standalone interventions.

Trial registration
Clinical trials registration number
NCT03302611; First registered on 05/10/2017.
Real-time estimation and forecasting of COVID-19 cases and hospitalizations in Wisconsin HERC regions for public health decision making processes
Authors: Aravamuthan Srikanth , Mandujano Reyes Juan Francisco , Yandell Brian S. , Döpfer Dörte 
Published: February 2023

AbstractBackgroundThe spread of the COVID-19 (SARS-CoV-2) and the surging number of cases across the United States have resulted in full hospitals and exhausted health care workers. Limited availability and questionable reliability of the data make outbreak prediction and resource planning difficult. Any estimates or forecasts are subject to high uncertainty and low accuracy to measure such components. The aim of this study is to apply, automate, and assess a Bayesian time series model for the real-time estimation and forecasting of COVID-19 cases and number of hospitalizations in Wisconsin healthcare emergency readiness coalition (HERC) regions.MethodsThis study makes use of the publicly available Wisconsin COVID-19 historical data by county. Cases and effective time-varying reproduction number$$R_t$$Rtby the HERC region over time are estimated using Bayesian latent variable models. Hospitalizations are estimated by the HERC region over time using a Bayesian regression model. Cases, effective Rt, and hospitalizations are forecasted over a 1-day, 3-day, and 7-day time horizon using the last 28 days of data, and the 20%, 50%, and 90% Bayesian credible intervals of the forecasts are calculated. The frequentist coverage probability is compared to the Bayesian credible level to evaluate performance.ResultsFor cases and effective$$R_t$$Rt, all three time horizons outperform the three credible levels of the forecast. For hospitalizations, all three time horizons outperform the 20% and 50% credible intervals of the forecast. On the contrary, the 1-day and 3-day periods underperform the 90% credible intervals. Questions about uncertainty quantification should be re-calculated using the frequentist coverage probability of the Bayesian credible interval based on observed data for all three metrics.ConclusionsWe present an approach to automate the real-time estimation and forecasting of cases and hospitalizations and corresponding uncertainty using publicly available data. The models were able to infer short-term trends consistent with reported values at the HERC region level. Additionally, the models were able to accurately forecast and estimate the uncertainty of the measurements. This study can help identify the most affected regions and major outbreaks in the near future. The workflow can be adapted to other geographic regions, states, and even countries where decision-making processes are supported in real-time by the proposed modeling system.