bluuebunny/crossref_metadata_2025_split huggingface dataset:
How effective are health messages/warnings in improving knowledge and awareness of alcohol-related harm? The Slovenian case on using a mobile app
Authors: Radoš Krnel Sandra , Pravst Igor , Hribar Maša , Blažica Bojan , Kušar Anita 
Published: December 2023

Abstract
Background
Consumers generally lack access to information on alcoholic beverages, in spite of it being readily available for food and non-alcoholic beverages. Given the rights of consumers, and as with other products harmful to the population, there have been increasing calls for health warnings to be placed on alcoholic beverages, similar to those implemented on tobacco products. The aim of our research was to assess whether knowledge and awareness of the risks and harms associated with alcohol can be improved with a mobile app.

Methods
Intervention was conducted using VKJ mobile app, which enables users to scan the barcode of an alcoholic beverage and receive feedback on its labelled alcohol content and estimated energy value. At each search, eleven different health messages/warnings about the risks and harms of alcohol are also displayed randomly, rotating on the screen. A survey was conducted before and after the intervention, to assess the knowledge and awareness of the risks and harms associated with drinking alcohol.

Results
Significant differences were found for eight of the twelve tested statements. The improvement was seen to a greater extent in the group of high-risk drinkers. The results also showed that the vast majority of participants (78%) who were exposed to the health messages supported mandatory labelling of alcoholic beverages with information on ingredient listing and energy value, and 72% would like to have health warnings on alcohol products.

Conclusions
The use of a mobile app can be an option to improve knowledge and raise awareness of the risks and harms related to alcohol.
Seasonal variation in air pollutant levels and its effects on the sex ratio at birth on Fukue island, Japan
Authors: Arima Hiroaki 
Published: December 2023

Abstract
Background
In general, a slightly higher number of boys are born than girls, and the sex ratio at birth (number of male births/number of female births) is reported to be 1.03–1.07 in many countries. However, pregnant women exposed to high levels of atmospheric particulate matter have a reduced sex ratio at birth. Exposure to air pollutants can also lead to premature birth, suggesting that inflammation within the body may affect pregnancy maintenance and fetal development. On the other hand, the effects of air pollutants carried from afar by monsoons on the sex ratio at birth in downstream areas have not been evaluated. We focused on the Goto Islands, where various air pollutants flow from the Eurasian continent. The objective of this study was to clarify the effects of the atmospheric level of each pollutant on the sex ratio at birth on the Goto Islands.

Methods
We extracted observation data of particulate matter 2.5, sulfur dioxide, oxidants, nonmethane hydrocarbons, and methane from the National Institute for Environmental Studies database. In addition, the monthly sex ratio at birth was calculated using birth data from the National Statistics Center. To evaluate the effect of substance exposure just before fertilization on the sex ratio at birth, we analyzed the relationship between the observed pollutant level and the sex ratio at birth 9 months later. A stepwise generalized linear model was used to analyze the effects of air pollutant levels on the sex ratio at birth.

Results
The observed values for all pollutants were significantly different between seasons, including the particulate matter 2.5 (p < 0.0001), sulfur dioxide (p = 0.0026), oxidant (p < 0.0001), nonmethane hydrocarbon (p < 0.0001), and methane (p < 0.0001) values. In the target population in the target period, the total number of births was 1835, and the sex ratio at birth was 0.967. Univariate analysis showed that the values of particulate matter 2.5 (p = 0.0157) and oxidants (p = 0.0047) correlated negatively with the sex ratio at birth. In addition, the results of multivariate analysis using the stepwise method in the model equation indicated that every 1 ppm increase in the observed OX value resulted in a 0.311 decrease in the sex ratio at birth (p = 0.0034).

Conclusions
We evaluated the relationship between seasonal variations in air pollutant levels and the sex ratio at birth 9 months later on the Goto Islands. We found that an increase in oxidant levels just before and after conception may be a risk factor for a lower sex ratio at birth. Due to the previously reported vulnerability of male fetuses, females who become pregnant when air pollutant concentrations are high may be more likely to have a female baby. It is necessary to evaluate the effects of oxidants on various aspects of pregnancy and childbirth.
Positive outcomes following Autologous Matrix-Induced Chondrogenesis (AMIC) in the treatment of retropatellar chondral lesions: a retrospective analysis of a patient registry
Authors: Gille J. , Reiss E. , Behrens P. , Jakob R. P. , Piontek T. 
Published: December 2023

Abstract
Background
The patellofemoral joint is a challenging environment for treating chondral defects. Among the surgical options for the treatment of chondral defects, the single-stage Autologous Matrix-Induced Chondrogenesis (AMIC) procedure uses a porcine collagen I/III membrane to enhance bone-marrow stimulation. However, longer term outcomes data are rare for this specific indication. In order to provide real-world information, an ongoing registry has been established to record patient data and outcomes when AMIC is used to treat chondral and osteochondral lesions.

Methods
Patient data were retrieved from an ongoing, prospective, multisite registry of patients who had undergone AMIC treatment of chondral defects. We identified 64 patients who had undergone AMIC for patellofemoral chondral defects and for whom pre-operative and at least 1 post-operative score were available were included in this retrospective data analysis. Outcomes were assessed via the KOOS, VAS pain, and the Lysholm scores. Outcomes at the post-operative time-points were analysed using a factorial ANOVA with post-hoc testing while linear regression was used to assess associations between the change in the Lysholm score and lesion size.

Results
There was a significant improvement in Lysholm, VAS pain, and KOOS scores from pre-operative to the 1st year post-operative (p < 0.001), and this was maintained during the follow-up.

Conclusions
The forces exerted on the patellofemoral joint make this a challenging scenario for chondral repair. Our data demonstrates that the AMIC procedure with a collagen I/III membrane is an effective treatment for retropatellar cartilage lesions, and provides reliable results, with decreased pain and improved function. Importantly, these improvements were maintained through the follow-up period.
Estimating individual health-related quality of life changes in low back pain patients
Authors: Hays Ron D. , Reise Steven P. , Herman Patricia M. 
Published: December 2023

Abstract
Background
There is a need to evaluate different options for estimating individual change in health-related quality of life for patients with low back pain.

Methods
Secondary analysis of data collected at baseline and 6 weeks later in a randomized trial of 749 adults with low back pain receiving usual medical care (UMC) or UMC plus chiropractic care at a small hospital at a military training site or two large military medical centers. The mean age was 31; 76% were male and 67% were White. The study participants completed the Patient-Reported Outcomes Measurement Information System (PROMIS®)-29 v 1.0 physical function, pain interference, pain intensity, fatigue, sleep disturbance, depression, anxiety, satisfaction with participation in social roles, physical summary, and mental health summary scores (T-scored with mean = 50 and standard deviation (SD) = 10 in the U.S. general population).

Results
Reliability estimates at the baseline ranged from 0.700 to 0.969. Six-week test–retest intraclass correlation estimates were substantially lower than these estimates: the median test–retest intraclass correlation for the two-way mixed-effects model was 0. 532. Restricting the test–retest reliability estimates to the subset who reported they were about the same as at baseline on a retrospective rating of change item increased the median test–retest reliability to 0.686. The amount of individual change that was statistically significant varied by how reliability was estimated, and which SD was used. The smallest change needed was found when internal consistency reliability and the SD at baseline were used. When these values were used, the amount of change needed to be statistically significant (p < .05) at the individual level ranged from 3.33 (mental health summary scale) to 12.30 (pain intensity item) T-score points.

Conclusions
We recommend that in research studies estimates of the magnitude of individual change needed for statistical significance be provided for multiple reliability and standard deviation estimates. Whenever possible, patients should be classified based on whether they 1) improved significantly and perceived they got better, 2) improved significantly but did not perceive they were better, 3) did not improve significantly but felt they got better, or 4) did not improve significantly or report getting better.
Construction and validation of a predictive model for the risk of bowel resection in adults with incarcerated groin hernia
Authors: Zhou Zheqi , Li Yujie , Li Bin , Yan Likun , Lei Yingying , Tong Cong 
Published: December 2023

Abstract
Background
It is difficult to definitively determine the degree of ischemia in the bowel in which an incarcerated groin hernia is embedded. Failure to diagnose and intervene promptly and accurately increases the rate of bowel resection and patient mortality. The aim of this study is to investigate the risk factors for incarcerated inguinal hernia complicating bowel necrosis with resection and to establish a predictive model as a reference for clinical work.

Methods
Patients with incarcerated groin hernia who were admitted to our hospital were retrospectively analyzed. They were divided into bowel resection and non-bowel resection groups based on whether bowel resection was performed in the surgical record and postoperative pathological results. Risk factors for the development of bowel resection in incarcerated groin hernia were analyzed by univariate analysis and multivariate logistic regression, respectively. The screened independent risk factors were used to establish a prediction model, and finally, the predictive ability and accuracy of the model were validated and the clinical benefit was analyzed.

Results
A total of 345 patients with incarcerated groin hernia were included, of whom 58 underwent bowel resection for bowel necrosis and 287 did not. Multifactorial logistic regression analysis identified bowel obstruction (OR, 7.285 [95% CI, 2.254–23.542], P = 0.001), peritonitis (OR, 16.786 [95% CI, 5.436–51.838], P = 0.000), duration of incarcerated groin hernia (OR, 1.009 [95% CI, 1. 001-1.018], P = 0.034), heart rate (OR, 1.109 [95% CI, 1.021–1.205], P = 0.014), and preoperative total protein (OR, 0.900 [95% CI, 0.836–0.969], P = 0.005) were independent risk factors for bowel resection in incarcerated groin hernia. The predictive value of the established prediction model was basically in agreement with the measured value with a consistency index of 0.938 (0.901–0.974) and had a good clinical benefit.

Conclusion
Clinical screening and management of independent risk factors for bowel resection in patients with incarcerated groin hernia should be strengthened. The predictive model developed in this study has high diagnostic efficacy for bowel resection associated with incarcerated inguinal hernia, with the aim of reducing the incidence of bowel resection and unplanned secondary surgery.
The mediating role of sleep quality in the relationship between dispositional mindfulness and fatigue in Chinese nurses during the COVID-19 pandemic
Authors: Dai Caijun , Hu Pinglang , Yan Feifan , He Xuejiao , Cheng Weizhen , Yu Lihua , Fang Achang , Meng Xiaoling , Lou Meiyang , Chen Youying , Chi Danli , Zhou Huasu , Chen Qiaoge , Fang Zhenhong , Ni Shuhong , Huang Qiqi 
Published: December 2023

Abstract
Background
During the COVID-19 epidemic in China, clinical nurses are at an elevated risk of suffering fatigue. This research sought to investigate the correlation between dispositional mindfulness and fatigue among nurses, as well as the potential mediation role of sleep quality in this relationship.

Methods
This online cross-sectional survey was performed from August to September 2022 to collect data from 2143 Chinese nurses after the re-emergence of COVID-19. The significance of the mediation effect was determined through a bootstrap approach with SPSS PROCESS macro.

Results
Higher levels of dispositional mindfulness were significantly negatively related to fatigue (r = -0.518, P < 0.001) and sleep disturbance (r = -0.344, P < 0.001). Besides, insufficient sleep was associated with fatigue (r = 0.547, P < 0.001). Analyses of mediation revealed that sleep quality mediated the correlation of dispositional mindfulness to fatigue (β = -0.137, 95% Confidence Interval = [-0.156, -0.120]).

Conclusions
In the post-COVID-19 pandemic era, Chinese nurses’ dispositional awareness was related to the reduction of fatigue, which was mediated by sleep quality. Intervention strategies and measures should be adapted to improve dispositional mindfulness and sleep quality to reduce fatigue in nurses during the pandemic.
Evaluating the ability of a predictive vision-based machine learning model to measure changes in gait in response to medication and DBS within individuals with Parkinson’s disease
Authors: Sabo Andrea , Iaboni Andrea , Taati Babak , Fasano Alfonso , Gorodetsky Carolina 
Published: December 2023

Abstract
Introduction
Gait impairments in Parkinson’s disease (PD) are treated with dopaminergic medication or deep-brain stimulation (DBS), although the magnitude of the response is variable between individuals. Computer vision-based approaches have previously been evaluated for measuring the severity of parkinsonian gait in videos, but have not been evaluated for their ability to identify changes within individuals in response to treatment. This pilot study examines whether a vision-based model, trained on videos of parkinsonism, is able to detect improvement in parkinsonian gait in people with PD in response to medication and DBS use.

Methods
A spatial–temporal graph convolutional model was trained to predict MDS-UPDRS-gait scores in 362 videos from 14 older adults with drug-induced parkinsonism. This model was then used to predict MDS-UPDRS-gait scores on a different dataset of 42 paired videos from 13 individuals with PD, recorded while ON and OFF medication and DBS treatment during the same clinical visit. Statistical methods were used to assess whether the model was responsive to changes in gait in the ON and OFF states.

Results
The MDS-UPDRS-gait scores predicted by the model were lower on average (representing improved gait; p = 0.017, Cohen’s d = 0.495) during the ON medication and DBS treatment conditions. The magnitude of the differences between ON and OFF state was significantly correlated between model predictions and clinician annotations (p = 0.004). The predicted scores were significantly correlated with the clinician scores (Kendall’s tau-b = 0.301, p = 0.010), but were distributed in a smaller range as compared to the clinician scores.

Conclusion
A vision-based model trained on parkinsonian gait did not accurately predict MDS-UPDRS-gait scores in a different PD cohort, but detected weak, but statistically significant proportional changes in response to medication and DBS use. Large, clinically validated datasets of videos captured in many different settings and treatment conditions are required to develop accurate vision-based models of parkinsonian gait.
Development and evaluation of serological screening based on one dried plasma spot for HIV, syphilis, and HCV
Authors: Ma Jie-qiong , Ren Ya-nan , Wen Shi-yuan , Dong Ao-bo , Xing Wen-ge , Jiang Yan 
Published: December 2023

Abstract
Background
In the effort to prevent and control HIV/AIDS, China has established a national sentinel surveillance system. However, some sentinel sites face limitations in environmental resources and accessibility, prompting the exploration of alternative sample strategies. Dried plasma spots (DPS) samples are viewed as promising alternatives to traditional plasma samples due to their advantages, including sample stability, easy storage, and convenient transport. This study aims to develop a method for screening HIV, Treponema pallidum (TP), and Hepatitis C Virus (HCV) using DPS samples and assess their performance.

Methods
Based on existing commercial assay kits, a detection method was established through the optimization of experimental parameters, including the amount of plasma on filter paper, the volume of elution solution applied to dried plasma spots, the size of dried plasma spots, elution solution volume, elution solution components, elution temperature, and elution time. A series of laboratory evaluation panels were constructed for laboratory assessments, including the laboratory basic panel, laboratory interference panel, and laboratory precision panel. Additionally, clinical samples were used for evaluation.

Results
Optimal conditions for DPS sample extraction were: plasma volume, 100 µL; DPS size, whole spot; eluent volume, 500 µL; eluent, PBS with 1‰ Tween20; elution time, 2 h; elution temperature, room temperature. A total of 619 paired plasma/DPS samples were tested by both methods. The DPS-based ELISA method exhibited 100% sensitivity/specificity for HIV, 98.6%/100% for TP, and 99.6%/100% for HCV. Kappa values between the plasma samples and DPS samples were 100% for HIV, 99% for TP, and 100% for HCV. The DPS-based ELISA method failed to detect 1 HCV mono-infected sample and TP in 1 HIV/HCV/TP co-infected sample. For the HIV/HCV/TP co-infected sample, the S/CO in the plasma sample was 2.143 and in the DPS sample was 0.5. For HCV, the S/CO (sample OD/cut-off) was 3.049 in the plasma sample and 0.878 in the DPS sample.

Conclusions
A single DPS, following one-time standardized processing, can be used to detect HIV, HCV, and TP. Researching and establishing laboratory testing methods better suited for China's sentinel surveillance have significant practical applications in improving HIV testing in resource-constrained environments.
Seed protein biotyping in Amaranthus species: a tool for rapid identification of weedy amaranths of concern
Authors: Murphy Maxime , Hubert Julia , Wang Ruojing , Galindo-González Leonardo 
Published: December 2023

Abstract
Background
The Amaranthus genus contains at least 20 weedy and invasive species, including Amaranthus palmeri (palmer’s amaranth) and Amaranthus tuberculatus (tall waterhemp), two species of regulatory concern in North America, impacting production and yield in crops like corn, soybean and cotton. Amaranthus tuberculatus is regulated in Canada with limited establishment, while current climate models predict a range expansion of A. palmeri impacting crop growing areas in Ontario, Quebec and Manitoba. Since many Amaranthus species are similar in their morphology, especially at the seed stage, this demands the development of additional methods that can efficiently aid in the detection and identification of these species. Protein biotyping using Matrix-Assisted Laser Desorption Ionization Time of Flight Mass Spectrometry (MALDI-TOF-MS) has been traditionally used to identify microorganism species, races and pathotypes. Major protein fractions extracted from an organism, ionized and run through a biotyper using mass spectrometry, result in protein spectra that represent a fingerprint at the species or lower taxonomic rank, providing an efficient molecular diagnostics method. Here we use a modified protein biotyping protocol to extract major protein fractions from seeds of the family Brassicaceae to test our protocol, and then implemented the standardized approach in seeds from Amaranthus species. We then created a database of Amaranthus protein spectra that can be used to test blind samples for a quick identification of species of concern.

Results
We generated a protein spectra database with 16 Amaranthus species and several accessions per species, spanning target species of regulatory concern and species which are phylogenetically related or easily confused at the seed stage due to phenotypic plasticity. Testing of two Amaranthus blind sample seed sets against this database showed accuracies of 100% and 87%, respectively.

Conclusions
Our method is highly efficient in identifying Amaranthus species of regulatory concern. The mismatches between our protein biotyping approach and phenotypic identification of seeds are due to absence of the species in the database or close phylogenetic relationship between the species. While A. palmeri cannot be distinguished from A. watsonii, there is evidence these two species have the same native range and are closely related.
Downregulation of GDF15 suppresses ferroptosis and predicts unfavorable prognosis in clear cell renal cell carcinoma
Authors: Yang Dongliang , He Zhongyin , Lu Jiawei , Yuan Xiaolin , Liu Haiyong , Xue Yagang , Chen Ting , Gu Hongxing 
Published: December 2023

Abstract
Background
Growth differentiation factor 15 (GDF15), a member of the transforming growth factor beta (TGF-β) superfamily, is involved in various pathophysiological processes such as anorexia, obesity, inflammation, and tumorigenesis. However, the role of GDF15 in clear cell renal cell carcinoma (ccRCC) remains poorly understood.

Methods
Clinical significance of GDF15 in ccRCC as well as other types of human cancers was analyzed using the TCGA PANCAN dataset. Gene Set Enrichment Analysis (GSEA) was used to study the significantly enriched pathways associated with GDF15 expression. qRT-PCR was used to quantitatively assess relative mRNA expression level. Flow cytometry was used to detect cell cycle. CCK-8 assay, colony formation assay, wound healing assay, Transwell migration/invasion assay, and EdU assay were used to comprehensively examine tumor viability and aggressiveness. MDA and iron assays were used to determine ferroptosis-related intracellular changes.

Results
We found that GDF15 expression is decreased in renal carcinoma tissue. In 769-p and Caki-1 cells, GDF15 knockdown significantly promoted tumor viability, proliferation, and migration. Conversely, overexpression of GDF15 suppressed cell proliferation and invasion. Results from GSEA suggested that GDF15 might play a crucial role in ferroptosis. We further demonstrated that GDF15 is correlated with intracellular iron and lipid peroxidation MDA in 769-p and Caki-1 cells. In summary, we conclude that GDF15 inhibits migration and invasion of ccRCC cells by regulating ferroptosis.

Conclusion
Our study demonstrates that GDF15 downexpression promotes viability and aggressiveness of ccRCC cells by abolishing ferroptosis, which confers unfavorable patient survival outcomes.