bluuebunny/crossref_metadata_2025_split huggingface dataset:
RELATIONSHIP OF COMORBID DISEASE WITH THE INCIDENCE OF STROKE IN THE ELDERLY GROUP
Authors: Susanti Nofi , Maulana Putri Athika 
Published: January 2024

Stroke has become a degenerative disease that accounts for 74% of deaths worldwide. According to Riskesdas data for 2018, the prevalence of stroke in Indonesia increases significantly as patients age. Comorbid diseases such as hypertension, diabetes mellitus, heart disease, and other diseases increase the risk of stroke. The location of this research is in the North Sulawesi Province, conducted from April to July 2023. The research uses national-scale surveys with a quantitative approach and cross-sectional studies. The population in this study is 7.850 respondents, and after cleaning the data, we used samples of 5.540 respondents. This research aims to analyze the relationship between comorbid conditions and the occurrence of stroke in the elderly population at North Sulawesi Province. The results show that hypertension, diabetes, and heart disease have a meaningful relationship with stroke incidence,however there is no significant correlation between the incidence of stroke and obesity in the elderly group in the Northern Sulawesi Province. Therefore, it is recommend the elderly to adopt a healthy lifestyle and undergo routine medical examinations to avoid the risk of stroke.
Detectability analysis of very low frequency earthquakes: Methods and application in Nankai using F-net and DONET broadband seismometers
Authors: Takemura Shunsuke , Baba Satoru , Yabe Suguru , Yamashita Yusuke , Shiomi Katsuhiko , Matsuzawa Takanori 
Published: January 2024

Abstract
For a more quantitative discussion of slow earthquake activity, we evaluated the detectable limits of very low frequency earthquakes (VLFEs), which are seismic slow earthquakes observed in very low frequency (< 0.05 Hz) bands in the Nankai subduction zone. We performed numerical simulations using a local three-dimensional model and used the observed noise level of permanent broadband seismometers. First, we investigated the effects of the source-time functions on the maximum amplitudes of the VLFE signals at a certain station. The maximum amplitudes of the VLFE signals were controlled by the VLFE moment rate. The detectable limit of VLFEs at each source location can be defined as the lowest moment rate of detectable VLFEs, which radiate signals larger than the noise levels of any component at ≥ 3 stations. For inland seismometers only, the detectable limits of VLFEs at deep (30–40 km) and shallow (≤ 10 km) depths were 1012–1012.3 and 1012.7 Nm/s, respectively. Due to the geometrical spreading of VLFE signals and large noise levels in horizontal components, offshore seismometers improved the detectability of shallow VLFEs in regions where seismometers were densely deployed. Based on our detectability and published catalogs, shallow slow earthquakes are less active south-southwest off the Kii Peninsula, where geodetic studies expect mechanical coupling.
A qualitative feasibility study of a prototype patient centered-video intervention to increase uptake of cancer genetic testing among Black Americans
Authors: Smith Katherine Clegg , Grob Rachel , McCullough Michelle , May Betty , Warne Emily , Matchette Amanda , Connor Avonne E. , Visvanathan Kala 
Published: January 2024

Abstract
Background
Health advances due to developments in genomic medicine are unequally experienced in the US; racial differences in uptake of genetic testing are one factor in this disparity. In collaboration with Black patients and diverse health care providers, we are developing a patient-centered video intervention to increase cancer genetic testing among eligible Black Americans. The objective is to explore acceptability of and support for the intervention and key content components.
Methods
To create a patient-centered video intervention prototype, we conducted a targeted, secondary analysis of 47 coded transcripts from video-taped qualitative interviews with people with a known genetic or inherited cancer risk. Review focused on decision making, testing experiences and perceived value of genetic testing. We subsequently generated a 15-minute video montage of content from 9 diverse (age, gender, race) participants. We then used the prototype video as prompt material for semi-structured interviews with 10 Black patients who had undergone genetic testing in the last 2 years and 10 racially diverse providers (genetic counselors, a nurse, and medical oncologists) who provide management recommendations for high-risk patients. Interviews sought to understand the acceptability of a video intervention to enhance informed decision making by Black patients, and key elements for intervention efficacy.
Results
Study participants were generally positive about the prototype video, and provided guidance for intervention development. Interviewed patients prioritized perceived authenticity and relatability of video participants. The presentation of patients’ perspectives on testing, their experience of testing and the benefits of having test results were seen as useful. Benefits of testing for self and family were identified as important considerations. Privacy concerns and science skepticism were identified as germane issues, with guidance to present barriers to testing alongside possible solutions. Inclusion of clinicians was seen as potentially useful, but with caution that clinicians are not universally trusted.
Conclusions
Study findings provided critical input for creation of a professionally produced, tailored intervention video for a randomized clinical trial with Black Americans to evaluate uptake of genetic testing. The interviews suggest acceptability and potential utility of an authentic, realistic and tailored, patient-centered video intervention to increase consideration and uptake of genetic testing.
Astragalus Polysaccharides Augment BMSCs Homing via SDF-1/CXCR4 Modulation: A Novel Approach to Counteract Peritoneal Mesenchymal Transformation and Fibrosis
Authors: Wang Funing , Dai Huibo , Zhou Ziren , Shan Yun , Yu Manshu , Sun Jinyi , Sheng Li , Huang Liyan , Meng Xiaohui , You Yongqing , Sheng Meixiao 
Published: January 2024

Abstract
Purpose
This study aims to investigate whether pretreatment with bone marrow mesenchymal stromal cells (BMSCs) and Astragalus polysaccharide (APS) can enhance their capacity to engraft in the peritoneum after in vitro transplantation, thereby strengthening the anti-fibrotic effect of BMSCs and elucidating the possible mechanisms involved.
Methods
Forty male SD rats were randomly divided into the control, PDF, PDF + BMSCs and PDF + APSBMSCs group, to establish rat peritoneal fibrosis models. The homing and anti-fibrotic effects of fluorescently labeled BMSCs and APS-BMSCs were studied. Stromal cell-derived factor-1 (SDF-1) levels were evaluated using ELISA, and the expression of CXCR4 (chemokine receptor type 4) in BMSCs following APS intervention was assessed using PCR and immunofluorescence staining. The effects of APS on BMSC migration and its role in the SDF-1/CXCR4 axis were investigated through Transwell migration assays and the CXCR4 antagonist AMD3100.
Results
In vivo and in vitro experiments confirmed that APS can promote the targeted homing of BMSCs to the peritoneum of PDF-induced rats, enhance the therapeutic effect, and increase the expression of CXCR4 in BMSCs. PDF-induced peritoneal and serum SDF-1 levels were significantly increased, promoting the homing of CXCR4-expressing BMSCs. Blocking the SDF-1/CXCR4 axis with AMD3100 reduced the migration of BMSCs, further weakening the therapeutic effect on peritoneal mesenchyme-to-mesothelial transition (MMT). APS upregulated the expression of CXCR4 in BMSCs, enhanced the activation of downstream pathways in the SDF-1/CXCR4 axis, and partially reversed the effects of AMD3100.
Conclusion
APS enhances the activation of downstream pathways in the SDF-1/CXCR4 axis by upregulating the expression of CXCR4 in BMSCs, promoting the targeted homing of BMSCs in peritoneal tissue, and enhancing its inhibitory effect on MMT and improvement of peritoneal fibrosis.
Turf algae drives coral bioerosion under high CO2
Authors: Heitzman Joshua , Iijima Layla , Mitushasi Guinther , Spatafora Davide , Wada Shigeki , Harvey Ben P. , Kurihara Haruko , Agostini Sylvain 
Published: January 2024

Abstract
Turf algal prevalence will increase in coral ecosystems under ocean acidification yet their contribution towards the ongoing and projected degradation of reefs is often overlooked. Turf algal settlement was induced on exposed coral skeleton adjacent to live coral tissue to investigate coral-turf algal interactions through a combination of laboratory and field transplantation (shallow volcanic CO2 seep) experiments across two temperature regimes. Here, we show that turf algae are competitively favored over corals under high pCO2 conditions. Turf algae-associated biological activity locally acidified the microenvironment overlying the exposed coral skeleton, leading to its bioerosion. Increases in coral-turf algal interactions could shift coral ecosystems towards net dissolution and should be integrated into global accretion models when considering future carbonate budgets under climate change.
A modified action framework to develop and evaluate academic-policy engagement interventions
Authors: Mäkelä Petra , Boaz Annette , Oliver Kathryn 
Published: January 2024

Abstract
Background
There has been a proliferation of frameworks with the common goal of bridging the gap between evidence, policy and practice, but few to specifically guide evaluations of academic-policy engagement. We present the modification of an action framework for the purpose of selecting, developing and evaluating interventions for academic-policy engagement.
Methods
We build on the conceptual work of an existing framework known as SPIRIT (Supporting Policy In health with Research: an Intervention Trial), developed for the evaluation of strategies intended to increase the use of research in health policy. Our aim was to modify SPIRIT to be applicable beyond health policy contexts, and to address broader dynamics of academic-policy engagement. We used an iterative approach through literature reviews and consultation with multiple stakeholders, alongside our evaluation activities in the Capabilities in Academic Policy Engagement (CAPE) programme in England.
Results
Our modifications expand upon Redman et al.’s original framework, for example adding a domain of ‘Impacts and Sustainability’ to capture continued activities required in achievement of desirable outcomes. It fulfils criteria for a useful action framework, having a clear purpose, being informed by existing understandings, being capable of guiding targeted interventions, and providing a structure to build further knowledge.
Conclusion
The modified SPIRIT framework is designed to be meaningful and accessible for people working across varied contexts in the evidence-policy ecosystem. It has potential applications in how academic-policy engagement interventions might be developed, evaluated, facilitated and improved, to ultimately support the use of evidence in decision-making.
Performance evaluation of interim analysis in bioequivalence studies.
Authors: Isogawa Naoki , Grieve Andy , Ishii Ryota , Maruo Kazushi 
Published: January 2024

Abstract

Under current bioequivalence guidelines in Japan, it is mandatory to establish bioequivalence using a single pivotal study. Clinical trials with limited resources usually have a pre-defined maximum permissible number of participants. In this manuscript, we considered a trial design that would allow for bioequivalence evaluation at an interim analysis in which the total number of participants takes into account the resource constraints. Then, available options at the interim analysis are group sequential designs and adaptive designs, A comparison of the performance of the two methods under a fixed maximum participant number has not been conducted thus far. So we examined which method should be used by conducting a simulation study. Since bioequivalence is expected to be achieved at the interim analysis, a study design using a Pocock-type alpha spending function is preferrable. Simulation results using a Pocock-type alpha spending function showed similar performance between group sequential and adaptive designs. Consequently, due to statistical and operational complexity, it is preferable to choose group sequential designs for bioequivalence study in Japan.
Casual Effects of Telomere Length on Sarcoidosis: A Bidirectional Mendelian Randomisation Analysis
Authors: Zhu Shiben , Hao Ziyu , Chen Qihang , Liu Xiaoliu , Wu Wenyan , Luo Yanping , Zhang Fang 
Published: January 2024

Abstract
Background
Telomere length (TL), crucial for genomic stability, have been implicated in various inflamm-aging diseases, but their role in sarcoidosis remains unexplored.
Objective
This study aims to explore the casual effects between TL and sarcoidosis via a bidirectional Mendelian Randomization (MR) study.
Methods
We examined single nucleotide polymorphisms (SNPs) associated with TL and sarcoidosis, utilizing available open-access genome-wide association study (GWAS) databases from the UK Biobank and FinnGen. We employed five MR techniques, including Inverse Variance Weighted (IVW), MR Egger, weighted median (WM), Robust adjusted profile score (RAPS), and Maximum likelihood, to assess causal relationships and explore pleiotropy.
Results
Summary data extracted from GWAS datasets of TL (n = 472,174) and (n = 217,758) of European ancestry. Employing 130 SNPs with genome-wide significance as instrumental factors for TL, we detect a significant negative correlation between TL and sarcoidosis (OR: 0.682, 95% confidence interval: 0.524–0.888,p:0.0045). Similarly, utilizing 6 SNPs with genome-wide significance as instrumental factors for sarcoidosis, we fail to identify a noteworthy association between sarcoidosis and TL (OR:0.992, 95% confidence interval: 0.979–1.005, p: 0.2424).
Conclusion
Our results suggest that longer telomeres may reduce the risk of sarcoidosis, highlighting TL as a potential biomarker for diagnosis and long-term monitor. This study contributes to understanding the genetic interplay between TL and sarcoidosis and opens new avenues for prevention and therapeutic interventions.
The impact of aromatherapy with Citrus bergamia- Lavandula angustifolia essential oil and/or mindfulness-behavioral therapy on menopausal health: A factorial randomized controlled trial
Authors: Salehi-Pourmehr Hanieh , Mojtahedi Mandana , Asnaashari Solmaz , Farshbaf-Khalili Azizeh , Ostadrahimi Alireza 
Published: January 2024

Abstract

Psychological support is essential for women after menopause as a period with a high prevalence of mental health problems. It was observed a gap in the literature on the impact of bergamot and lavender aromatherapy and/or consultation with the mindfulness-behavioral therapy (MBT) approach on postmenopausal health. This study aimed to determine the effect of combined aromatherapy with lavender (Lavandula angustifolia Mill.) essential oil (LEO) and Bergamot (Citrus×bergamia (Risso) Risso & Poit) essential oil (BEO) and/or MBT on menopausal symptoms, sleep quality, and serum cortisol. This factorial randomized controlled trial was done on 132 postmenopausal women aged 50–60 years who had mild to moderate anxiety. The recruited women were divided into four groups receiving: 1) Usual care-placebo (Placebo), 2) MBT-placebo (Therapy), 3) LEO-BEO Aromatherapy-usual care (Aromatherapy), and 4) MBT- LEO-BEO aromatherapy (Therapy & Aromatherapy). They received daily aroma for eight weeks. The weekly MBT sessions were held for two months. The study outcomes were evaluated at baseline, after the intervention, and after an eight-week follow-up. The study groups were similar regarding baseline characteristics. After a two-month intervention, the total score of menopausal symptoms [aMD (95% CI): -5.7 (-9.5 to -1.8)] and anxiety [aMD (95% CI): -1.9 (-3.4 to -0.4] significantly decreased in the Aromatherapy compared to Placebo. The total score of sleep quality (PSQI) in each of the Therapy [aMD (95% CI): -2.6 (-4.2 to -1.0] and Aromatherapy [aMD (95% CI): -1.7 (-3.3 to -0.1)] groups significantly decreased compared to Placebo. The combination of Aromatherapy - Therapy had no significant effect compared to Placebo (p > 0.05). The serum cortisol level decreased in all four groups; however, the reductions were not statistically significant in the Aromatherapy and/or Therapy groups compared to the Placebo group (p > 0.05). Each method of intervention separately was accompanied by a favorable response in the management of menopausal symptoms. Furthermore, this study had a new approach toward combination therapy with aroma (LEO-BEO) and MBT.
Research on the influence of concrete damage in wharf structures under fatigue loads on chloride ion diffusion
Authors: xu xubing , Zheng Yonglai , Hou Chenyu , Pan Tanbo 
Published: January 2024

Abstract

In the marine environment, harbor structures are prone to fatigue damage due to long-term berthing load, accelerating chloride erosion and leading to steel corrosion, thus significantly reducing the durability and service performance of reinforced concrete structures. To investigate the influence of fatigue damage on chloride ion diffusion, this paper simulated the damage degradation process of structures under fatigue load and chloride ion erosion through experiments. The damage caused by fatigue load was defined by ultrasonic method, and the study investigated the effects of different stress levels and loading cycles on chloride ion transport. The chloride ion diffusion concentration under different damage conditions was predicted by numerical simulation. The results indicate that the fatigue load leads to the increase of load level and the increase of chloride ion content at the same depth. The increase of loading times accelerates the penetration rate, which is positively correlated with the chloride ion diffusivity. The chloride ion diffusion coefficient of concrete exhibits an exponential relationship with fatigue damage levels. The numerical simulation results are consistent with the experimental results, validating the feasibility of establishing a correspondence between thermodynamic diffusion and chloride ion diffusion parameters using the analogy method. This paper provides reliable support for the performance assessment and maintenance of reinforced concrete structures in marine environments.
Improvement of Forecasting Drought by Means of Various Machine Learning Algorithms and Wavelet Transformation
Authors: Tuğrul Türker , HINIS Mehmet Ali 
Published: January 2024

Abstract

Defined as a decrease in average rainfall amounts, drought is one of the most insidious natural disasters. When it starts, people may not be aware of it, that's why droughts are difficult to monitor. Scientists have long been working to predict and monitor droughts. For this purpose, they have developed many methods such as drought indices one of which Standardized Precipitation Index (SPI) is. In this study, SPI to detect droughts and machine learning algorithms, support vector machines (SVM), artificial neural networks (ANN), random forest (RF), decision tree (DT), frequently used in the literature to predict droughts and 3 different statistical methods: correlation coefficient (r), Root Mean-square Error (RMSE), Nash-Sutcliffe Efficiency (NSE) Coefficient to investigate model performance values were used. Wavelet analysis was also applied to improve model performances. Konya closed basin located in the middle of Türkiye in terms of location and is among the leading regions of Turkey in terms of grain is one of the regions most affected by droughts in Türkiye. One of the most important water resources of the region is the Apa dam. It provides water to many fields which fertile land in its vicinity and is affected by droughts. Therefore, this region was determined as the study area. Meteorological data, total monthly precipitation, that could represent the region were obtained between 1955 and 2020 from general directorate of state water works and general directorate of meteorology. The results show that among the models analyzed with machine learning algorithms, the best results were obtained from M04 model whose input structure was created from SPI, different times steps, data delayed up to 5 months and total monthly precipitation data for time t-1. Among machine learning algorithms, SVM has achieved the most successful results in not only without wavelet transform (WT) but also with WT. Effective results were obtained from M04 in which SVM with WT was used (NSE = 0.9942, RMSE = 0.0764, R = 0.9971).
PTP1B inhibitor alleviates deleterious septic lung injury through Src signaling
Authors: qiu chong-rong , sun zhi-jian , liu fen , deng wei , ouyang xiu-fang , zhang qing-qing , Tao Wen-Qiang 
Published: January 2024

Abstract

Background
Septic lung injury is an unmet clinical challenge due to its high mortality, and there is a lack of effective treatment. Accumulating evidence suggests that an uncontrolled pulmonary inflammatory response is important in the pathogenesis of lung injury in sepsis. Therefore, limiting excessive early inflammatory responses may be an effective strategy.
Methods
We established a septic lung injury model using cecal ligation and puncture. Western blotting and immunofluorescence analyses were performed to assess the expression of PTP1B and endoplasmic reticulum (ER) stress and pyroptosis. Co-immunoprecipitation was used to analyze the binding of PTP1B and Src molecules.
Results
PTP1B is upregulated in both in vivo and in vitro models of septic lung injury. PTP1B directly binds to Src and aggravates inflammation by regulating the ER stress-pyroptosis axis. The inhibition of PTP1B alleviates inflammation and improves the prognosis of septic mice.
Conclusions
Our study suggesting that PT1B inhibitors have clinical application value in the treatment of septic lung injury. This may provide a new strategy for the treatment of septic lung injury.