bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and validation of a diagnostic model for cerebral small vessel disease among rural older adults in China
Authors: Li Chunyan , Wang Jiafeng , Han Xiaodong , Li Yuanjing , Liu Keke , Zhao Mingqing , Gong Tao , Hou Tingting , Wang Yongxiang , Cong Lin , Song Lin , Du Yifeng
Published: July 2024

Objectives

Cerebral small vessel disease (CSVD) visible on MRI can be asymptomatic. We sought to develop and validate a model for detecting CSVD in rural older adults.

Methods

This study included 1,192 participants in the MRI sub-study within the Multidomain Interventions to Delay Dementia and Disability in Rural China. Total sample was randomly divided into training set and validation set. MRI markers of CSVD were assessed following the international criteria, and total CSVD burden was assessed on a scale from 0 to 4. Logistic regression analyses were used to screen risk factors and develop the diagnostic model. A nomogram was used to visualize the model. Model performance was assessed using the area under the receiver-operating characteristic curve (AUC), calibration plot, and decision curve analysis.

Results

The model included age, high blood pressure, white blood cell count, neutrophil-to-lymphocyte ratio (NLR), and history of cerebral infarction. The AUC was 0.71 (95% CI, 0.67–0.76) in the training set and 0.69 (95% CI, 0.63–0.76) in the validation set. The model showed high coherence between predicted and observed probabilities in both the training and validation sets. The model had higher net benefits than the strategy assuming all participants either at high risk or low risk of CSVD for probability thresholds ranging 50–90% in the training set, and 65–98% in the validation set.

Conclusion

A model that integrates routine clinical factors could detect CSVD in older adults, with good discrimination and calibration. The model has implication for clinical decision-making.
Cognitive impairment and the gut-brain axis during 2014–2023: a bibliometric analysis
Authors: He Jindi , Wu Jiaxun , Liu Juan , Wu Hangcai , Hua Heliu
Published: July 2024

Background

The burden on society grows as the number of individuals with cognitive impairment rises. Numerous research have discovered a connection between cognitive impairment and the gut-brain axis, which is useful in examining the pathophysiology of cognitive impairment and potential therapeutic approaches. As a result, this article explores developments and trends in the research concerning the gut-brain axis and cognitive impairment through a bibliometric analysis of the contributions made by various countries/regions, institutions, authors, and journals.

Methods

We looked for articles on gut-brain axis and cognitive impairment from 2014 to 2023 in the Web of Science Core Collection. For the descriptive analysis, figures and tables were taken using GraphPad Prism 6 and WPS Office 2024. For the visual analysis of the countries/regions, institutions, authors, and keywords, VOSviewer was utilized.

Results

We obtained 458 publications from 1 January 2014 to 9 September 2023. The country with the most publications (175, 38.21%) was China. The country with the greatest total number of citations (3,138, 17.22%) was the United States of America. The highest number of articles (15, 3.26%) was issued by Zhejiang University. The most published first author is Karsas M. In this field, Nutrients have published the most articles (24). The most often occurring keywords include “Alzheimer’s disease,” “cognitive impairment,” “gut microbiota,” “inflammation,” “diet,” etc. “Stroke,” “tau,” “probiotics,” “exercise,” “fecal microbiota transplantation,” etc. emerged later.

Conclusion

An increasing amount of research has focused on the connection between cognitive impairment and the gut-brain axis. In this area, the United States of America and China have both made significant contributions. The author team’s collaboration has to be improved. Our study contributes to understanding the field’s current state and predicting its future trend.
Difference between arterial and venous peak optical density after thrombectomy is associated with functional outcomes
Authors: Liu Guangzhi , Cao Jianghui , Zhou Peiyang , Sun Dong , Kang Zhiming , Fan Ruixue , Mei Bin , Zhang Junjian
Published: July 2024

Background

The density of contrast medium in digital subtraction angiography (DSA) have been used to evaluate the cerebral circulation function. Our aim was to study the effect of difference in arteriovenous peak optical density (POD) after thrombectomy on functional outcomes.

Methods

Consecutive patients with acute ischemic stroke due to large vessel occlusion who underwent thrombectomy were reviewed. We processed DSA images with ImageJ software to measure the POD of internal carotid artery (ICA) and cortical veins. The average POD of cortical veins (PODVA) and the POD difference between ICA and cortical veins (PODICA-CV) were calculated. Primary outcome was good functional outcome (modified Rankin scale score of 0–2 at 90 days).

Results

One hundred sixty-six patients were finally included in the study. Patients with good functional outcome had lower ipsilateral PODVA (median [interquartile range (IQR)], 257.198 [216.623–296.631] vs. 290.944 [248.647–338.819], p < 0.001) and lower ipsilateral PODICA-CV (median [IQR], 128.463 [110.233–153.624] vs. 182.01 [146.621–211.331], p < 0.001). Multivariable logistic regression analyses showed that ipsilateral PODVA (odds ratio [OR] 0.991, 95% confidence interval [CI] 0.984–0.999, p = 0.019) and ipsilateral PODICA-CV (OR 0.975, 95% CI 0.963–0.986, p < 0.001) were associated with good functional outcome. The predictive ability was significantly enhanced in the model including ipsilateral PODICA-CV (0.893 vs. 0.842, p = 0.027). No correlation was found between ipsilateral PODICA-CV and expanded Thrombolysis in Cerebral Infarction grades (r = −0.133, p = 0.099).

Conclusion

Ipsilateral PODICA-CV is an additional indicator of cerebral reperfusion status and predicts functional outcomes after thrombectomy.
Thiamine use is associated with better outcomes for traumatic brain injury patients
Authors: Wang Ruoran , Zeng Yunhui , Xu Jianguo , He Min
Published: July 2024

Background

Traumatic brain injury (TBI) is a global health concern that often leads to poor prognosis. We designed this study to explore whether thiamine use is associated with a better prognosis of TBI.

Methods

TBI patients selected from the Medical Information Mart for Intensive Care-III database were included in the study. Univariate and multivariate Cox regression analyses were performed to examine the relationship between thiamine use and mortality in TBI patients. Propensity score matching (PSM) was utilized to generate balanced cohorts of the non-thiamine use group and the thiamine use group. Subgroup analysis was performed in the cohort after PSM to verify the association between thiamine use and mortality in TBI patients across different stratifications.

Results

The incidence of thiamine use in TBI was 18.3%. The thiamine use group had a lower 30-day mortality rate (p < 0.001), a longer length of ICU stay (p < 0.001), and a longer length of hospital stay (p < 0.001) than the non-thiamine use group, both in the primary cohort before PSM and the cohort after PSM. A multivariate Cox regression analysis confirmed that thiamine use was independently associated with mortality (OR = 0.454, p < 0.001) after adjusting for confounding effects. In the cohort after PSM, the subgroup analysis showed that thiamine use is associated with lower mortality in TBI patients with a Glasgow Coma Scale (GCS) score of < 13, but it is not associated with mortality in TBI patients whose GCS score is ≥13.

Conclusion

Thiamine supplementation is effective in improving the outcome of TBI, except in cases of mild TBI. The optimal thiamine supplementation strategy for TBI is worthwhile to be explored in future studies.
Influence of adding edible termite flour to Ogi powder: its chemical and phytochemical composition
Authors: Awoyale Wasiu , Fadeni Funmilayo Racheal , Maziya-Dixon Busie
Published: July 2024

Ogi, a traditional staple food made from submerged fermented cereal grains, is high in carbohydrates and low in protein. It is essential to conduct this research because termite flour (TF) addition may affect other quality aspects in addition to increasing protein content. Using 100 g of Ogi powder as a control sample, the chemical and phytochemical content of Ogi developed from blends of Ogi powder (OP) (50–100 g) with termite flour (TF) (10–50 g) was assessed using standard methods. The average proximate composition of the supplemented Ogi powder was 9.89% moisture, 3.87% fat, 2.59% crude fiber, 2.42% ash, 15.82% protein, and 65.41% total carbohydrates. Zinc is 3.19 mg/100 g while iron is 2.03 mg/100 g on average. Phytate (0.12 mg/100 g), oxalate (0.06 mg/100 g), saponin (0.73 mg/100 g), and tannin (0.02 mg/100 g) are phytochemical constituents. Though, supplemented Ogi powder of higher protein, ash, and iron contents than those of the control sample could be achieved by blending 50.0 g of OP with 50.0 g TF, 75.0 g of OP with 58.3 g TF, and 39.6 g OP with 30 g TF. However, blending 52.31% Ogi powder and 43.58% termite flour could produce a supplemented Ogi powder with nutritional and phytochemical constituents than those of the control sample. While the product could help lower the rate of protein-energy malnutrition, the supplemented Ogi powder’s amino acid, and carotenoid profiles need to be assessed.
A novel nutritional inflammation index for predicting mortality in acute ischemic stroke patients: insights into advanced lung cancer inflammation index from the Medical Information Mart for Intensive Care-IV database
Authors: Huang Yongwei , Wang Xiaoyi , Li Zongping , Yin Xiaoshuang
Published: July 2024

Objective

This investigation aimed to delineate the association between the advanced lung cancer inflammation index (ALI) and all-cause mortality (ACM) in individuals experiencing acute ischemic stroke (AIS).

Methods

Drawing on information from the Medical Information Mart for Intensive Care (MIMIC)-IV database, release 2.2, covering the years 2012 to 2019, this research assessed the advanced lung cancer inflammation index (ALI) by factoring in body mass index (BMI), serum albumin levels (ALB), and the neutrophil-to-lymphocyte ratio (NLR). Patients with AIS were identified using codes from the International Classification of Diseases (ICD). To address potential confounding factors, a 1:1 propensity score matching (PSM) method was utilized. The investigation identified the pivotal ALI level impacting patient survival using maximally selected rank statistics. It then examined the effects on short- and long-term ACM through multivariate Cox proportional hazards regression models and Kaplan–Meier (K–M) survival analysis. Additionally, restricted cubic spline (RCS) methods were applied to delve into the linear or nonlinear nature of the relationship between ALI and ACM, with further insights gained from interaction and subgroup analyses.

Results

The cohort comprised 838 AIS patients. Post-PSM, analysis involved 199 matched patient pairs. Adjusted Cox proportional hazard models indicated a significant association of low ALI (<10.38) with increased in-hospital ACM, both before (HR: 1.98; 95% CI: 1.36–2.88; p < 0.001) and after PSM (HR: 2.16; 95% CI: 1.32–3.52; p = 0.002). Associations of low ALI with elevated risk were consistent across ICU, 30 days, 90 days, and 1 year ACM pre- and post-PSM. Subsequent RCS analysis post-PSM underscored a negative nonlinear relationship between ALI and ACM over both short and long terms, without significant interaction effects across different subgroups for ACM.

Conclusion

In this retrospective cohort study, by utilizing a nationally representative sample of United States patients with AIS, our analysis elucidates a negative correlation between the ALI and ACM in individuals with AIS, underscoring the utility of ALI as a novel, efficacious, and accessible inflammatory biomarker for prognosticating ACM. These results carry profound implications for public health policy and practice. A deeper comprehension of these associations can empower public health practitioners and researchers to devise more targeted interventions and policies, aimed specifically at catering to the distinct needs of the AIS patient population, thereby enhancing their health outcomes. The further research in other races/ethnicity is urgent, particularly before applying these findings in clinical practice.
Virtual clinical trial-based study for clinical evaluation of projection-reduced low-dose cone-beam CT for image guided radiotherapy
Authors: Wang Meijiao , Yao Kaining , Zhao Yixin , Geng Jianhao , Zhu Xianggao , Liu Zhiyan , Li Yongheng , Wu Hao , Du Yi
Published: July 2024

Purpose

Repeated cone-beam CT (CBCT) scans for image-guided radiotherapy (IGRT) increase the health risk of radiation-induced malignancies. Patient-enrolled studies to optimize scan protocols are inadequate. We proposed a virtual clinical trial-based approach to evaluate projection-reduced low-dose CBCT for IGRT.

Materials and methods

A total of 71 patients were virtually enrolled with 26 head, 23 thorax and 22 pelvis scans. Projection numbers of full-dose CBCT scans were reduced to 1/2, 1/4, and 1/8 of the original to simulate low-dose scans. Contrast-to-noise ratio (CNR) values in fat and muscle were measured in the full-dose and low-dose images. CBCT images were registered to planning CT to derive 6-degree-of-freedom couch shifts. Registration errors were statistically analyzed with the Wilcoxon paired signed-rank test.

Results

As projection numbers were reduced, CNR values descended and the magnitude of registration errors increased. The mean CNR values of full-dose and half-dose CBCT were >3.0. For full-dose and low-dose CBCT (i.e. 1/2, 1/4 and 1/8 full-dose), the mean registration errors were< ± 0.4 mm in translational directions (LAT, LNG, VRT) and ±0.2 degree in rotational directions (Pitch, Roll, Yaw); the mean magnitude of registration errors were< 1 mm in translation and< 0.5 degree in rotation. The couch shift differences between full-dose and low-dose CBCT were not statistically significant (p>0.05) in all the directions.

Conclusion

The results indicate that while the impact of dose-reduction on CBCT couch shifts is not significant, the impact on CNR values is significant. Further validation on optimizing CBCT imaging dose is required.
Preventing new substance use behaviors in youth: evaluation of a two-year comprehensive program
Authors: Zerhouni Oulmann , Loisy Sandra , Bouthier Renaud , Flaudias Valentin
Published: July 2024

Introduction

The Avenir Santé Association implemented a comprehensive prevention program targeting the consumption of the emerging psychoactive substances ecstasy (MDMA), cannabidiol (CBD), and nitrous oxide (N2O).

Methods

The program was evaluated through four actions: (i) training for association workers (n = 84) (ii) on-site student party interventions (n = 248), (iii) social network-based prevention (n = 186), and (iv) provision of prevention tools for party organizers (n = 148).

Results

Results showed a significant increase in understanding of emerging substances among association workers, with a pre-training score of M = 15.76 (SD = 3.65) and a post-training score of M = 18.29 (SD = 2.50). Increased awareness and reflective attitudes toward substance use were observed among young people participating in field actions, with pre- and post-intervention scores for MDMA use intentions being M = 15.89 (SD = 4.60) and M = 19.17 (SD = 3.33), respectively. Similarly, awareness of CBD effects increased from M = 14.18 (SD = 4.14) to M = 17.60 (SD = 3.31). Exposure to Instagram posts on N2O led to more negative attitudes toward N2O among young people, with a significant change in scores from M = 8.16 (SD = 1.57) to M = 8.42 (SD = 1.26). However, exposure to a website providing information about emerging substances did not produce any significant effect.

Discussion

In conclusion, this initiative underscores the usefulness of facilitator training, field interventions, and certain online information strategies for substance judgment and usage intentions. Future prevention programs can advantageously incorporate these actions.
Impact of digital and conventional rehabilitation aftercare on physical and mental health in orthopedic patients in Germany
Authors: Schmidt Detlef , Fritsch Julian , Feil Katharina , Weyland Susanne , Rittmann Lena-Marie , Jekauc Darko
Published: July 2024

The integration of digital interventions in health rehabilitation offers promising opportunities to improve patient outcomes. However, empirical studies comparing the effectiveness of digital and traditional rehabilitation interventions remain scarce. This study was designed to evaluate the impact of a digital aftercare program, compared to traditional aftercare and a control group, on both psychological and physical health outcomes in individuals undergoing orthopedic rehabilitation. Additionally, the study also aimed to examine the moderating effects of age and gender. The study employed a partially controlled trial design, engaging a cohort of 805 orthopedic patients, divided into: digIRENA (n = 323, digital aftercare), IRENA (n = 252, traditional aftercare), and a control group (n = 230, without organized aftercare). Measurements took place at four different time points: baseline (start of the rehabilitation program), T1 (13 weeks after the start of rehabilitation, marking the midpoint of aftercare), T2 (26 weeks, marking the end of aftercare), and T3 (43 weeks, to assess the sustainability of aftercare effects). The SF-12 Health Survey was the primary data collection instrument for measuring trends in physical and mental health outcomes over these intervals using repeated measures ANOVA. The results show that rehabilitants in the digIRENA group participated for a longer period of time than rehabilitants in the IRENA group, while the two groups did not differ in terms of motivation at T0 and organized physical activity outside of aftercare at T3. A significant improvement in physical health outcomes was observed in all groups across time, with digIRENA participants showing the greatest improvement. For mental health, all groups showed initial improvements, with the digIRENA group showing the most pronounced increase at T2. Overall, there was a decline in the effects achieved 4 months after the end of aftercare. When age and gender were included as covariates, the time effect for mental health disappeared, showing a significant time * gender interaction due to significantly lower baseline scores of women compared to men. The results of the study show that digital interventions, in particular the digIRENA program, contribute to improving health rehabilitation outcomes. The digIRENA program and similar digital health interventions may offer potential for improving health rehabilitation aftercare.
From classical approaches to new developments in genetic engineering of live attenuated vaccine against cutaneous leishmaniasis: potential and immunization
Authors: Rooholamini Zahra , Dianat-Moghadam Hassan , Esmaeilifallah Mahsa , Khanahmad Hossein
Published: July 2024

Despite the development of a vaccine against cutaneous leishmaniasis in preclinical and clinical studies, we still do not have a safe and effective vaccine for human use. Given this situation, the search for a new prophylactic alternative to control leishmaniasis should be a global priority. A first-generation vaccine strategy—leishmanization, in which live Leishmania major parasites are inoculated into the skin to protect against reinfection, is taking advantage of this situation. Live attenuated Leishmania vaccine candidates are promising alternatives due to their robust protective immune responses. Importantly, they do not cause disease and could provide long-term protection following challenges with a virulent strain. In addition to physical and chemical methods, genetic tools, including the Cre-loxP system, have enabled the selection of safer null mutant live attenuated Leishmania parasites obtained by gene disruption. This was followed by the discovery and introduction of CRISPR/Cas-based gene editing tools, which can be easily and precisely used to modify genes. Here, we briefly review the immunopathology of L. major parasites and then present the classical methods and their limitations for the production of live attenuated vaccines. We then discuss the potential of current genetic engineering tools to generate live attenuated vaccine strains by targeting key genes involved in L. major pathogenesis and then discuss their discovery and implications for immune responses to control leishmaniasis.
Research on the effect of charitable donations on regional medical level
Authors: Sun Wei , Zhang Qilin
Published: July 2024

As the main vehicle for the tertiary distribution, charity has a certain regulating effect on regional medical level. However, the improvement of regional medical effect of charity has yet to be tested. Based on provincial panel data from 1997 to 2019, this study analyzes the impact of charitable donations on regional medical level. The empirical results show that charitable donations widen the gap of overall regional medical level in China, which not only results from the current period but also from charity accumulation in the past. The regional heterogeneity analysis show that charitable donations have expanded the regional medical level of the eastern and western regions, while have no significant effect on the regional medical level gap in the central region. The widening effect in the eastern region of charitable donations is the largest. In addition, charitable donations expand the regional medical level gap between urban and rural areas in China. Charity, as the regional medical development mechanism, has not yet played its due role and advantages in regulating regional medical level gap. Formulating and adjusting the corresponding charity promotion policies is necessary.
Uptake of COVID-19 vaccination among community-dwelling individuals receiving healthcare for substance use disorder and major mental illness: a matched retrospective cohort study
Authors: Richard Lucie , Holland Anna , Aghanya Vivian , Campitelli Michael A. , Hwang Stephen W.
Published: July 2024

Introduction

Patients with major mental illness (MMI) and substance use disorders (SUD) face barriers in accessing healthcare. In this population-based retrospective cohort study, we investigated the uptake of COVID-19 vaccination in Ontario, Canada among community-dwelling individuals receiving healthcare for major mental illness (MMI) and/or substance use disorders (SUD), comparing them to matched general population controls.

Methods

Using linked health administrative data, we identified 337,290 individuals receiving healthcare for MMI and/or SUD as of 14 December 2020, matched by age, sex, and residential geography to controls without such healthcare. Follow-up extended until 31 December 2022 to document vaccination events.

Results

Overall, individuals receiving healthcare for MMI and/or SUD (N = 337,290) had a slightly lower uptake of first (cumulative incidence 82.45% vs. 86.44%; hazard ratio [HR] 0.83 [95% CI 0.82–0.83]) and second dose (78.82% vs. 84.93%; HR 0.77 [95% CI 0.77–0.78]) compared to matched controls. Individuals receiving healthcare for MMI only (n = 146,399) had a similar uptake of first (87.96% vs. 87.59%; HR 0.97 [95% CI 0.96–0.98]) and second dose (86.09% vs. 86.05%, HR 0.94 [95% CI 0.93–0.95]). By contrast, individuals receiving healthcare for SUD only (n = 156,785) or MMI and SUD (n = 34,106) had significantly lower uptake of the first (SUD 78.14% vs. 85.74%; HR 0.73 [95% CI 0.72–0.73]; MMI & SUD 78.43% vs. 84.74%; HR 0.76 [95% CI 0.75–0.77]) and second doses (SUD 73.12% vs. 84.17%; HR 0.66 [95% CI 0.65–0.66]; MMI & SUD 73.48% vs. 82.93%; HR 0.68 [95% CI 0.67–0.69]).

Discussion

These findings suggest that effective strategies to increase vaccination uptake for future COVID-19 and other emerging infectious diseases among community-dwelling people with SUD are needed.
Generating rhythm game music with jukebox
Authors: Yan Nicholas
Published: July 2024

Music has always been thought of as a “human” endeavor- when praising a piece of music, we emphasize the composer’s creativity and the emotions the music invokes. Because music also heavily relies on patterns and repetition in the form of recurring melodic themes and chord progressions, artificial intelligence has increasingly been able to replicate music in a human-like fashion. This research investigated the capabilities of Jukebox, an open-source commercially available neural network, to accurately replicate two genres of music often found in rhythm games, artcore and orchestral. A Google Colab notebook provided the computational resources necessary to sample and extend a total of 16 piano arrangements of both genres. A survey containing selected samples was distributed to a local youth orchestra to gauge people’s perceptions of the musicality of AI and human-generated music. Even though humans preferred human-generated music, Jukebox’s slightly high rating showed that it was somewhat capable at mimicking the styles of both genres. Despite limitations of Jukebox only using raw audio and a relatively small sample size, it shows promise for the future of AI as a collaborative tool in music production.
Implementing evidence-based practices in rural settings: a scoping review of theories, models, and frameworks
Authors: Brady Robert E. , Lyons Kathleen D. , Stevens Courtney J. , Godzik Cassandra M. , Smith Andrew J. , Bagley Pamela J. , Vitale Elaina J. , Bernstein Steven L.
Published: July 2024

Background

Rural healthcare has unique characteristics that affect the dissemination and implementation of evidence-based interventions. Numerous theories, models, and frameworks have been developed to guide implementation of healthcare interventions, though not specific to rural healthcare. The present scoping review sought to identify the theories, models, and frameworks most frequently applied to rural health and propose an approach to rural health research that harnesses selected constructs from these theories, models, and frameworks. This resulting synthesis can serve as a guide to researchers, policy makers, and clinicians seeking to employ commonly used theories, models, and frameworks to rural health.

Methods

We used the Scopus abstract indexing service to identify peer-reviewed literature citing one or more of theories, models, or frameworks used in dissemination and implementation research and including the word “rural” in the Title, Abstract, or Keywords. We screened the remaining titles and abstracts to ensure articles met additional inclusion criteria. We conducted a full review of the resulting 172 articles to ensure they identified one or more discrete theory, model, or framework applied to research or quality improvement projects. We extracted the theories, models, and frameworks and categorized these as process models, determinant frameworks, classic theories, or evaluation frameworks.

Results

We retained 61 articles of which 28 used RE-AIM, 11 used Community-Based Participatory Research (CBPR) framework, eight used the Consolidated Framework for Implementation Research (CFIR), and six used the integrated-Promoting Action on Research Implementation in Health Services (iPARIHS). Additional theories, models, and frameworks were cited in three or fewer reports in the literature. The 14 theories, models, and frameworks cited in the literature were categorized as seven process models, four determinant frameworks, one evaluation framework, and one classic theory.

Conclusions

The RE-AIM framework was the most frequently cited framework in the rural health literature, followed by CBPR, CFIR, and iPARIHS. A notable advantage of RE-AIM in rural healthcare settings is the focus on reach as a specified outcome, given the challenges of engaging a geographically diffuse and often isolated population. We present a rationale for combining the strengths of these theories, models, and frameworks to guide a research agenda specific to rural healthcare research.

Systematic Review Registration

https://osf.io/fn2cd/.
Revitalizing CPAP adherence: lessons from THN study in patients with hypoglossal nerve stimulators
Authors: Mwenge Gimbada Benny , Bousata Jamila , Rodenstein Daniel
Published: July 2024

Objective

This retrospective study aimed to address acceptance and long-term adherence to Continuous Positive Airway Pressure (CPAP) treatment among non-responder patients to ImThera THN system who initially declined this therapy.

Material and methods

We employed a structured outpatient approach to communicate THN study results, categorize initial CPAP nonadherence reasons, and encourage CPAP trials through tailored appointments. Recorded follow-ups addressed individual concerns, providing medical guidance and acknowledging person-specific challenges. Adherence data were collected using CPAP hour meters at predetermined intervals, following Belgium's social security stipulations.

Results

Between July 2014 and October 2016, eleven participants, including one woman, with prior CPAP experience (average 2 months) were enrolled. Initial non-adherence was linked to ENT or psychological factors. Ten patients agreed to CPAP trials, where interventions included changing CPAP brand, pressure adjustments, mask changes, and additional measures like cognitive-behavioral therapy and nasal spray. After 1 year, mean adherence was 6.3 ± 2 h/day, and average CPAP usage duration was 8.67 ± 2.13 years. As of November 2023, eight out of eleven patients were still actively using CPAP

Conclusion

In this investigation, we challenged the concept of CPAP non-adherence, highlighting evolving adherence and the significance of continuous monitoring and personalized interventions. Our findings underscore ongoing patient education, multidisciplinary support, and dynamic intervention adaptation for enhanced adherence in challenging patient populations. The results provide insights applicable to non-adherent patients with obstructive sleep apnea, emphasizing the importance of individualized care and sustained engagement for improved CPAP acceptance.
What can flies teach us about brain diseases?
Authors: Wilson Abigail D. , Lowe Simon A. , Jepson James E. C. , Aughey Gabriel N.
Published: July 2024

Diseases that affect the brain are one of the leading causes of disability worldwide. Many doctors and scientists are trying to work out how these diseases arise and how they can be treated. Unfortunately, the brain is an extremely complicated organ, so this goal is very challenging. One way of simplifying this challenge is to look at simpler brains. For example, a human brain has about 100,000 times more brain cells than a fruit fly brain, but it works in a similar way. Although a fruit fly may seem very different from a human, we still have a lot in common. For example, we both have brains that control how we move our bodies. Scientists are using fruit fly brains to study a wide range of brain diseases that affect human patients. Fly brains can be used to understand how a disease happens, and they can even be used to test drugs to discover new medicines. This article gives an overview of how scientists are using flies to help understand and treat brain disorders.
A methodological approach to upscale organic and agroecological – local agrifood systems: the case of the Pampa Organica Norte group in Argentina
Authors: Sciurano Juan Pablo , Arfini Filippo , Maccari Michele
Published: July 2024

Organic Agriculture and Agroecology are production systems considered relevant for building up sustainable food systems at an environmental, social and economic level. In recent years there has been a growing interest in considering which processes can contribute to upscaling these systems. At a global level Agroecological Local Agri-food Systems and Bio-districts are becoming beacons for that purpose. This paper presents a case study of an organic and agroecological group of producers in the Argentinian Pampa Region where we used the Participatory Action Research (PAR) approach in implementing three interconnected methodologies: (i) Sustainability assessment using the FAO Tool for Agroecology Performance Evaluation (TAPE), (ii) Participatory Value chain Development and (iii) Stakeholder Analysis. This was done to verify if the combination of methodologies can be useful to (i) evaluate the current situation of the group in terms of LAFS development and (ii) identify which possible activities would be required for upscaling organic and agroecological practices at a regional level with a neo-endogenous approach. We conclude that the participative assessment implemented was useful to identify the group stage in terms of LAFS development and also to identify the activation requirements for upscaling the system at the same time that the participatory process addressed and organized a set of procedures in the hands of the group for implementing that process.
Identification and functional prediction of lncRNAs associated with intramuscular lipid deposition in Guangling donkeys
Authors: Peng Yongdong , Zhu Mingzhu , Gong Yunyi , Wang Changfa
Published: July 2024

Many studies have shown that long non-coding RNAs (lncRNAs) play key regulatory roles in various biological processes. However, the importance and molecular regulatory mechanisms of lncRNAs in donkey intramuscular fat deposition remain to be further investigated. In this study, we used published transcriptomic data from the longissimus dorsi muscle of Guangling donkeys to identify lncRNAs and obtained 196 novel lncRNAs. Compared with the coding genes, the novel lncRNAs and the known lncRNAs exhibited some typical features, such as shorter transcript length and smaller exons. A total of 272 coding genes and 52 lncRNAs were differentially expressed between the longissimus dorsi muscles of the low-fat and high-fat groups. The differentially expressed genes were found to be involved in various biological processes related to lipid metabolism. The potential target genes of differentially expressed lncRNAs were predicted by cis and trans. Functional analysis of lncRNA targets showed that some lncRNAs may act on potential target genes involved in lipid metabolism processes and regulate lipid deposition in the longissimus dorsi muscle. This study provides valuable information for further investigation of the molecular mechanisms of lipid deposition traits in donkeys, which may improve meat traits and facilitate the selection process of donkeys in future breeding.
VMP-ER: An Efficient Virtual Machine Placement Algorithm for Energy and Resources Optimization in Cloud Data Center
Authors: Rjeib Hasanein D. , Kecskemeti Gabor
Published: July 2024

Cloud service providers deliver computing services on demand using the Infrastructure as a Service (IaaS) model. In a cloud data center, several virtual machines (VMs) can be hosted on a single physical machine (PM) with the help of virtualization. The virtual machine placement (VMP) involves assigning VMs across various physical machines, which is a crucial process impacting energy draw and resource usage in the cloud data center. Nonetheless, finding an effective settlement is challenging owing to factors like hardware heterogeneity and the scalability of cloud data centers. This paper proposes an efficient algorithm named VMP-ER aimed at optimizing power consumption and reducing resource wastage. Our algorithm achieves this by decreasing the number of running physical machines, and it gives priority to energy-efficient servers. Additionally, it improves resource utilization across physical machines, thus minimizing wastage and ensuring balanced resource allocation.
Synergies between Sustainable Farming, Green Technology, and Energy Policy for Carbon-Free Development
Authors: Daraz Umar , Bojnec Štefan , Khan Younas
Published: July 2024

This study addresses the integration of agricultural practices, technological innovations, and energy policies to achieve carbon neutrality in Mardan, Pakistan. A cross-sectional design was employed, collecting data from 400 stakeholders using stratified random sampling. The analysis involved descriptive statistics, correlation analysis, structural equation modeling (SEM), Chi-square tests, and multiple regression analysis to explore the relationships between agricultural sustainability practices (ASPs), green technology implementation (GTI), energy policy measures (EPMs), and carbon-free development (CFD). The findings indicate strong positive correlations between ASPs, GTI, EPMs, and CFD, with a relatively high positive correlation coefficients. SEM path coefficients further confirmed the significant positive effects of ASPs on CFD. It is concluded that integrating sustainable farming practices, green technologies, and effective energy policies significantly advances carbon-free development in Mardan. Policymakers should prioritize promoting sustainable farming, investing in green technologies, and implementing robust energy policies with subsidies for renewable energy and carbon pricing mechanisms to foster carbon-neutral development.
Cost–Benefit Analysis of Mulch Film Management and Its Policy Implications in Northern China
Authors: Hao Aibo , Yin Changbin , Léonard Angélique , Dogot Thomas
Published: July 2024

Agricultural white pollution is a pressing concern in China. However, the efficiency and rationality of the government’s subsidies for mulch film management remain ambiguous. To formulate reasonable policies for mulch film management and optimize fiscal resource allocation, the study employs cost–benefit analysis to evaluate the economic performance of mulch film management. Two environmentally friendly measures being primarily proposed in China, namely the application of thicker mulch film (hereinafter referred to as thicker film) and the substitution of biodegradable mulch film (hereinafter referred to as biodegradable film), are selected for analysis, with conventional mulch film (hereinafter referred to as conventional film) serving as the benchmark for comparison. Primary data obtained through field surveys, supplemented by secondary data from national statistics, industry reports, and literature reviews, are used for the study. Results show that thicker film application is cost-effective, with a net benefit of CNY 3208.8/ha (USD 449.2/ha; 1 CNY = 0.14 USD), which is CNY 253.8/ha (USD 35.5/ha) higher than that of conventional film. The net benefit for biodegradable film application is lower than that for conventional film, at CNY 2244.6/ha (USD 314.2/ha). The results reveal the significant potential of promoting the use of thicker film due to its recycling and economic advantages. Findings imply that the further promotion of its use lies in improving farmers’ cognition and optimizing subsidy dimensions to allocate government financial resources more effectively. On the contrary, biodegradable film utilization is unprofitable and relies on continuous external subsidies. The government can optimize the subsidy standard based on the cost–benefit performance of different mulch films applied and provide incentives to promote cost reductions and efficiency increases. Further analysis indicates that sustainable mulch film management entails developing mechanisms to internalize the external benefits of management and innovating a new governance landscape.
A Reasonable Rotation Fallow Mode Enhances the Complexity of the Soil Bacterial Network and Enriches Nitrogen-Cycling-Related Taxa
Authors: Shi Gongfu , Fang Jing , Wei Shuli , Cheng Yuchen , Su Shaofeng , Zhang Xiangqian , Wang Jianguo , Zhang Fan , Wu Jianhui , Zhao Lili , Zhao Xiaoqing , Lu Zhanyuan
Published: July 2024

Rotation fallow is an effective way to overcome the obstacles associated with continuous cropping, being beneficial for the growth and development of crops. Soil micro-organisms are closely related to soil fertility, plant productivity, soil pathogenic bacteria, and crop health in agricultural ecosystems. To explore the effects of different rotation fallow modes on the diversity and functions of the soil bacterial community, a study was conducted in an arid area in the western foothills of the Greater Khingan Mountains. Using spring wheat variety Longmai 36 as the research material, this study systematically analyzed the changes and functional differences in soil physicochemical and biological characteristics, as well as microbial communities (endosphere, rhizosphere, and bulk soil) in spring wheat fields under five rotation fallow modes: Wheat2016–Wheat2017–Wheat2018(WWW), Wheat2016–Rape2017–Fallow2018(WRF), Wheat2016–Potato2017–Fallow2018(WPF), Wheat2016–Fallow2017–Rape2018(WFR), and Wheat2016–Fallow2017–Potato2018 (WFP). The results indicate that, compared to WWW, the soil urease activity, microbial biomass nitrogen content, and microbial biomass phosphorus content were significantly increased in the WFP mode (p < 0.05). In particular, the soil moisture content, organic matter, and total potassium content were increased by 6.88%, 3.34%, and 25.57%, respectively. The Shannon index and chao1 index of bulk soil (BS) and rhizosphere (RS) bacteria were significantly higher than those of endosphere (ER) bacteria (p < 0.05). Both ecological niche and rotation fallow modes affected the relative abundance of dominant bacteria, and the relative abundance of beneficial bacteria, such as Bacteroidetes, Firmicutes, and Verrucomimicrobia, significantly increased in the rotation fallow modes. The complexity and stability of bacterial networks, and abundance of nitrogen-cycling-related functional taxa were significantly improved, while the abundance of pathogen-related functional taxa was significantly decreased. The differences in soil bacterial community structure were closely related to soil physicochemical properties. Compared to ER, BS and RS bacterial communities, which are more susceptible to soil physicochemical properties, and soil pH are key driving forces for bacterial community distribution. In summary, compared with continuous cropping, the rotation fallow mode is beneficial for conserving soil moisture and nutrients, stabilizing soil pH, (i.e., making the soil tend to be neutral), increasing the abundance of beneficial bacteria in the soil, enhancing the complexity and stability of microbial ecological networks, and increasing the abundance of nitrogen-cycling-related functional taxa, thus improving crop growth and development.
LLM-Powered Natural Language Text Processing for Ontology Enrichment
Authors: Mukanova Assel , Milosz Marek , Dauletkaliyeva Assem , Nazyrova Aizhan , Yelibayeva Gaziza , Kuzin Dmitrii , Kussepova Lazzat
Published: July 2024

This paper describes a method and technology for processing natural language texts and extracting data from the text that correspond to the semantics of an ontological model. The proposed method is distinguished by the use of a Large Language Model algorithm for text analysis. The extracted data are stored in an intermediate format, after which individuals and properties that reflect the specified semantics are programmatically created in the ontology. The proposed technology is implemented using the example of an ontological model that describes the geographical configuration and administrative–territorial division of Kazakhstan. The proposed method and technology can be applied in any subject areas for which ontological models have been developed. The results of the study can significantly improve the efficiency of using knowledge bases based on semantic networks by converting texts in natural languages into semantically linked data.
Influence of Apparatus Scale on Geogrid Monotonic and Cyclic/Post-Cyclic Pullout Behavior in Cohesive Soils
Authors: Barajas Sergio Rincón , Pedroso Gabriel Orquizas Mattielo , Ferreira Fernanda Bessa , Lins da Silva Jefferson
Published: July 2024

Geosynthetics have increasingly been applied to geotechnical engineering works due to their numerous advantages, including cost-effectiveness and their significant role in sustainable development. When geosynthetics are used as reinforcement in earth structures, such as embankments, retaining walls and bridge abutments, soil–geosynthetic interface shear behavior is a critical parameter involved in the design. This paper presents a series of monotonic and cyclic/post-cyclic pullout tests carried out to examine the apparatus scale effect on the pullout response of a geogrid embedded in two different soils. To assess the small-scale equipment feasibility, comparisons were made between pullout test parameters derived from small- and large-scale equipment. The test results indicate that, under a low confining stress of 25 kPa, using a smaller-sized apparatus results in lower values of geogrid pullout resistance and maximum mobilized shear stress, but higher values of confined tensile stiffness at low strains. On the other hand, as the confining stress increases (i.e., 50 kPa and 100 kPa), the difference between the results becomes less significant and similar trends are observed regardless of the equipment type. Adopting small-scale equipment enables obtaining soil–reinforcement interaction parameters using test procedures that are less time-consuming than those associated with large-scale pullout tests. However, proper scale effect correction factors may be considered for more consistent estimates of the interface strength parameters under low normal stress values.
New Bio-Based Binding Systems for Plywood Panels
Authors: Papadopoulou Electra , Moutousidis Dimitrios , Kountouras Sotirios , Argyropoulou Aikaterini , Stathopoulos Panagiotis , Skaltsounis Alexios Leandros , Ioannidis Rafail O. , Xanthopoulou Eleftheria , Malletzidou Lamprini , Chrissafis Konstantinos
Published: July 2024

This study investigated the use of non-formaldehyde binders in the production of plywood panels, focusing on mixtures containing 70% poly 4,4’-methylene diphenyl isocyanate (pMDI) and 30% soy flour (SF), along with blends of soy flour and agricultural residues (olive by-products—with and without extraction of their bioactive ingredients—and defatted hemp seeds). The basic properties of these biomaterials, such as moisture content, pH, and buffering capacity, were determined with laboratory analysis. Adhesive mixtures were characterized using attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) and thermogravimetric analysis (TGA). The adhesive’s bonding ability was evaluated by manufacturing plywood panels on a laboratory scale, simulating industrial practices. The glue lines were visually inspected with a stereomicroscope. Micro-ATR-FTIR study of the cross-sections of plywood panels showed the full consumption of isocyanate groups indicating effective curing of the adhesive. Mixtures containing olive residues, particularly olive skin and stones, showed improved thermal stability in the TGA study. The mechanical properties of the plywood panels were assessed with three-point bending tests, while their shear strength and wood failure performance were tested according to the European standards used in the relevant industry (EN 314.1:2004 and EN 314.2:1993). In terms of flexural properties, the adhesive with non-extracted (NE) residual olive skin (ROS) showed the highest flexural strength of around 17 MPa and a flexural modulus of 650 MPa. The formulations containing extracted materials from hemp seeds (HSs) and residual olive skin (ROS) showed the best overall performance with wood failure values of 85% and 75% after the most severe cyclic test (EN314.1:2004-Pretreatment 5.1.3). Overall, the results showed that binders prepared with residual olive skin and defatted hemp seeds have promising performance and can be used in the manufacture of plywood panels.