Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Pulse Pressure and Handgrip Strength in the Korean Population: A Nationwide Cross-Sectional Study

Background: Sarcopenia is defined as the loss of muscle mass and strength and low physical performance, and it is closely related to the risk of cardiovascular disease and mortality. Pulse pressure (PP) is a biomarker of arterial stiffness and compliance. Elevated PP levels increase the risk of cardiovascular diseases and all-cause mortality. Nevertheless, the association between PP and sarcopenia has not yet been clearly established. Methods: Participant data were extracted from the Korea National Health and Nutrition Examination Survey conducted from 2014 to 2020. The study population was classified into three groups (PP < 40 mmHg, 40 mmHg ≤ PP < 60 mmHg, and PP ≥ 60 mmHg). PP was calculated by deducting the diastolic blood pressure from the systolic blood pressure. For handgrip strength, the maximum value measured with a grip dynamometer was adopted (weak handgrip strength: <28 kg for men, <18 kg for woman; normal handgrip strength: ≥28 kg for men, ≥18 kg for women). To determine the relationship between PP and the prevalence of weak handgrip strength, multiple logistic regression analysis was performed after adjusting for possible confounding factors. Results: The higher PP group had a higher age, body mass index; systolic blood pressure, prevalence of hypertension, diabetes, hyperlipidemia, and metabolic syndrome, and maximum handgrip strength. In all models, the prevalence of weak handgrip strength was significantly higher in the group with PP ≥ 60 mmHg compared to the control group (PP < 40 mmHg). Conclusions: Elevated PP was significantly associated with a higher prevalence of weak muscle strength. Thus, PP monitoring may be used to identify individuals at risk of sarcopenia and is helpful in improving health outcomes.
Seagrasses produce most of the soil blue carbon in three Maldivian islands

Blue carbon is fast garnering international interest for its disproportionate contribution to global carbon stocks. However, our understanding of the size of these blue carbon stocks, as well as the provenance of carbon that is stored within them, is still poor. This is especially pertinent for many small-island nations that may have substantial blue carbon ecosystems that are poorly studied. Here, we present a preliminary assessment of blue carbon from three islands in the Maldives. The higher purpose of this research was to assess the feasibility of using blue carbon to help offset carbon emissions associated with Maldivian tourism, the largest Maldivian industry with one of the highest destination-based carbon footprints, globally. We used stable isotope mixing models to identify how habitats contributed to carbon found in sediments, and Loss on Ignition (LoI) to determine carbon content. We found that for the three surveyed islands, seagrasses (Thalassia hemprichii, Thalassodendron ciliatum, Halodule pinofilia, Syringodium isoetifolium, and Cymodocea rotundata) were the main contributors to sediment blue carbon (55 – 72%) while mangroves had the lowest contribution (9 – 44%). Surprisingly, screw pine (Pandanus spp.), a relative of palm trees found across many of these islands, contributed over a quarter of the carbon found in sediments. Organic carbon content (‘blue carbon’) was 6.8 ± 0.3 SE % and 393 ± 29 tonnes ha-1 for mangrove soils, and 2.5 ± 0.2% and 167 ± 20 tonnes ha-1 for seagrasses, which is slightly higher than global averages. While preliminary, our results highlight the importance of seagrasses as carbon sources in Maldivian blue carbon ecosystems, and the possible role that palms such as screw pines may have in supplementing this. Further research on Maldivian blue carbon ecosystems is needed to: 1) map current ecosystem extent and opportunities for additionality through conservation and restoration; 2) determine carbon sequestration rates; and 3) investigate options and feasibility for tourism-related blue carbon crediting. Overall, the opportunity for blue carbon in the Maldives is promising, but the state of knowledge is very limited.
A Comparison of the Chronologies of Introduced versus Native Coniferous Tree Species Growing in Northwestern Poland during the Period of Global Warming

The ongoing climatic changes are causing the extinction of numerous species or their withdrawal from previously occupied areas. The environmental and economic significance of introduced species may increase. The aim of the present study was to examine the rate of growth of coniferous species growing in northwestern Poland and to analyze the tree ring width–climate relationships. Six tree species were selected for this study. Two of these species have natural occurrences in Poland: Pinus sylvestris and Larix decidua. The remaining four species were introduced from North America: Chamaecyparis lawsoniana, Thuja plicata, Pseudotsuga menziesii, and Pinus strobus. Samples were collected from 131 trees using a Pressler borer at 1.3 m above ground. Tree ring widths were measured down to 0.01 mm. Climatic data were retrieved from a weather station located 23 km from the study plot. The average tree ring width reaches the lowest value for the P. sylvestris chronology (1.62 mm/year) and for P. strobus (1.69 mm/year), and the highest value is reached for T. plicata (2.80 mm/year) and P. menziesii (2.56 mm/year). The analysis of weather conditions in the designated pointer years and the response function analysis indicate that winter and early spring air temperature is the factor responsible for the formation of wide tree rings in the following species studied: P. sylvestris, C. lawsoniana, P. menziesii, and T. plicata. For L. decidua and P. strobus, the climate–growth relationships are different: weather conditions in the previous growth year are important, and it is the weather in the late spring and summer months. Two of the investigated introduced species (T. plicata and P. menziesii) are characterized by very good acclimatization and are best adapted to the new habitat during the current climate changes. These tree species can constitute a basis for replacing native species, which, due to increasingly severe droughts and higher temperatures, are doing less and less well in their current habitats. Foresters wanting to conduct sustainable forest management will look for replacement species that are well adapted to new habitat conditions in order to maintain the continuity of forest cover.
No long‐term trends in pCO2 despite increasing organic carbon concentrations in boreal lakes, streams, and rivers

Concentrations of dissolved organic carbon (DOC) from terrestrial sources have been increasing in freshwaters across large parts of the boreal region. According to results from large‐scale field and detailed laboratory studies, such a DOC increase could potentially stimulate carbon dioxide (CO2) production, subsequently increasing the partial pressure of CO2 (pCO2) in freshwaters. However, the response of pCO2 to the presently observed long‐term increase in DOC in freshwaters is still unknown. Here we tested whether the commonly found spatial DOC‐pCO2 relationship is also valid on a temporal scale. Analyzing time series of water chemical data from 71 lakes, 30 streams, and 4 river mouths distributed across all of Sweden over a 17 year period, we observed significant DOC concentration increases in 39 lakes, 15 streams, and 4 river mouths. Significant pCO2 increases were, however, only observed in six of these 58 waters, indicating that long‐term DOC increases in Swedish waters are disconnected from temporal pCO2 trends. We suggest that the uncoupling of trends in DOC concentration and pCO2 are a result of increased surface water runoff. When surface water runoff increases, there is likely less CO2 relative to DOC imported from soils into waters due to a changed balance between surface and groundwater flow. Additionally, increased surface water runoff causes faster water flushing through the landscape giving less time for in situ CO2 production in freshwaters. We conclude that pCO2 is presently not following DOC concentration trends, which has important implications for modeling future CO2 emissions from boreal waters.
Compressive Behaviour of Long Steel Tube Columns Filled with Recycled Large Aggregate Self-Compacting Concrete

One of the important directions for green development in the world today is to expand the application methods of recycled concrete, improve the utilization rate of waste aggregates, and slow down the consumption of natural resources. The column structure with a large length and slenderness ratio is the most widely used compression unit in practical engineering, which conforms to the principle of sustainable development. In this paper, we study the mechanical properties and failure modes of long columns fabricated from steel tubes filled with recycled large aggregate self-compacting concrete (RLASCC-ST-LC) under compression load. Moreover, we examine the influence of steel tube thickness, recycled large-aggregate particle size, the strength of self-compacting concrete, and the length-to-diameter ratio on the performance of the members through finite element modelling. The results indicated that RLASCC-ST-LCs exhibited different degrees of buckling damage, and the damage processes were basically the same as that of steel tube concrete. When the thickness of steel pipe increased from 4 mm to 5 mm, the ultimate bearing capacity of the component increased by 12.1%; when the strength of self-compacting concrete increased from 30 MPa to 40 MPa and 50 MPa, the ultimate loads of the component increased by 6.96% and 12.4%, respectively. However, the increase in the aspect ratio weakened the bearing capacity of the component, and the ultimate bearing capacities reduced by 4.78% and 10.51% when the aspect ratios were 8, 10, and 12. Finally, based on the existing design codes, the theoretical calculation formulas are proposed for the ultimate bearing capacities of RLASCC-ST-LCs. These findings have significant implications for the widespread application of RLASCC-ST-LCs.
Exploration of the Content of Public Facebook Groups of Autism Spectrum Disorder (ASD) in Bangladesh

Introduction: Autism Spectrum Disorder (ASD) is a neurological condition characterized by challenges in social interaction and development. Social media platforms have emerged as powerful communication tools for individuals with ASD, enabling information sharing, support, advocacy, and awareness. Methodology: This study explores Bangladeshi Public Facebook Groups (PFGs) dedicated to ASD, focusing on group content and audience engagement. Employing a mixed-methods approach, qualitative and quantitative data were gathered to achieve the research objectives. The data collection process involved analyzing 300 posts from the top 3 PFGs related to ASD in Bangladesh, along with conducting questionnaire interviews among 60 group members. Result: Results revealed that 33.7% of group posts serve informational and promotional purposes, with occupational therapy (26.7%) and autism centers (25%) being the most prevalent topics of discussion. The comments within these groups encompassed various types, with 33.94% being reciprocal and 27.18% affirmative in nature. Among the surveyed members, 26.7% found personal stories and support to be the most valuable form of information, followed by access to resources (16.6%). Group members also provided suggestions for enhancing PFGs, with an emphasis on improving engagement and support networks (33.33%) and increasing access to local services and professionals (26.7%). The study disclosed that 67
A Semilinearized Approach for Dynamic Identification of Manipulator Based on Nonlinear Friction Model

Accurate identification of manipulator dynamics parameters is crucial for achieving precise control and optimal performance in various robotic applications. Existing methods primarily utilize least squares or weighted least squares for dynamic parameter identification, which cannot effectively integrate the nonlinear friction model and satisfy physical feasibility constraints (PFCs). Consequently, this study proposed an iteratively semilinearized approach for identifying dynamic parameters of manipulators based on nonlinear friction models. First, the nonlinear friction model parameters of the joint are preidentified to prepare for feasibility base parameter estimation. Second, to establish a semilinearized dynamic model, the robot and friction torque are separated, allowing for the linearization of the robot dynamic model while preserving the nonlinearity of the friction model. Utilizing this semilinearized model, an iterative identification network is established to accurately identify dynamic parameters. This method effectively satisfies PFCs and integrates various nonlinear friction models, resulting in improved identification accuracy. Furthermore, it seamlessly incorporates geometric metrics to better align the identified dynamic parameters with the actual physical system. Finally, the utilization of neural network-based nonlinear compensation technology further reduces identification errors. A series of experiments were conducted using a self-developed 9-degree-of-freedom redundant manipulator. The experimental results demonstrated the efficiency and superiority of the proposed algorithm through performance comparison with various methods and friction models. A comprehensive analysis and discussion have revealed the underlying principles of this approach.
Directions for the improvement of dendritic vaccines for HER2-positive breast cancer

Breast cancer is the disease with the largest number of diagnoses at present, which seriously threatens the health of women all over the world. HER2 positive breast cancer is one of the subtypes, accounting for 25% -30% of breast cancer cases. Despite good progress in chemotherapy, radiation therapy, endocrine therapy and other areas, cancer recovery remains a huge challenge. The development of tumor therapeutic vaccines is a promising strategy. In recent years, more and more vaccines based on different carrier platforms have gradually been discovered. These vaccines stimulate the immune system of patients to produce specific immune responses, thereby reducing the recurrence and metastasis rate of cancer. However, in current clinical research evaluations, no type of vaccine has demonstrated significant therapeutic effects. This paper summarizes the mechanism and types of DC vaccine for HER2 positive breast cancer, analyzes its shortcomings according to relevant clinical trials, and proposes solutions in some aspects such as action target, delivery vector, combined immunity, etc, provides a reference for the development and improvement of therapeutic vaccine for breast cancer in the future. At present, many studies are addressing the problems with some vaccines, and there will be better therapeutic vaccines for breast tumors applied in clinical practice in the future, benefiting all humanity.
The impact and relevance of techniques and fluids on lung injury in machine perfusion of lungs

Primary graft dysfunction (PGD) is a common complication after lung transplantation. A plethora of contributing factors are known and assessment of donor lung function prior to organ retrieval is mandatory for determination of lung quality. Specialized centers increasingly perform ex vivo lung perfusion (EVLP) to further assess lung functionality and improve and extend lung preservation with the aim to increase lung utilization. EVLP can be performed following different protocols. The impact of the individual EVLP parameters on PGD development, organ function and postoperative outcome remains to be fully investigated. The variables relate to the engineering and function of the respective perfusion devices, such as the type of pump used, functional, like ventilation modes or physiological (e.g. perfusion solutions). This review reflects on the individual technical and fluid components relevant to EVLP and their respective impact on inflammatory response and outcome. We discuss key components of EVLP protocols and options for further improvement of EVLP in regard to PGD. This review offers an overview of available options for centers establishing an EVLP program and for researchers looking for ways to adapt existing protocols.
Linguistic markers for major depressive disorder: a cross-sectional study using an automated procedure

Introduction The identification of language markers, referring to both form and content, for common mental health disorders such as major depressive disorder (MDD), can facilitate the development of innovative tools for early recognition and prevention. However, studies in this direction are only at the beginning and are difficult to implement due to linguistic variability and the influence of cultural contexts. Aim This study aims to identify language markers specific to MDD through an automated analysis process based on RO-2015 LIWC (Linguistic Inquiry and Word Count). Materials and methods A sample of 62 medicated patients with MDD and a sample of 43 controls were assessed. Each participant provided language samples that described something that was pleasant for them. Assessment tools (1) Screening tests for MDD (MADRS and DASS-21); (2) Ro-LIWC2015 – Linguistic Inquiry and Word Count – a computerized text analysis software, validated for Romanian Language, that analyzes morphology, syntax and semantics of word use. Results Depressive patients use different approaches in sentence structure, and communicate in short sentences. This requires multiple use of the punctuation mark period, which implicitly requires directive communication, limited in exchange of ideas. Also, participants from the sample with depression mostly use impersonal pronouns, first person pronoun in plural form – not singular, a limited number of prepositions and an increased number of conjunctions, auxiliary verbs, negations, verbs in the past tense, and much less in the present tense, increased use of words expressing negative affects, anxiety, with limited use of words indicating positive affects. The favorite topics of interest of patients with depression are leisure, time and money. Conclusion Depressive patients use a significantly different language pattern than people without mood or behavioral disorders, both in form and content. These differences are sometimes associated with years of education and sex, and might also be explained by cultural differences.
Effectiveness of Modeling in Improving the Phonemic Awareness Skill among the First Grade Students

This study aimed to show effectiveness of Modeling in improving the phonemic awareness skill among the first grade students in Irbid Qasabah Directorate of Education. The study sample consisted of (72) male and female students divided into two groups; the experimental group taught by using the social learning (modeling) and its number was (36) male and female students
SOME MEASUREMENTS OF AMBIENT AIR POLLUTION

Ambient air pollution arising from different sources in Karachi and its surroundings has been studied. The urban centres like Karachi are mostly confronted with eye-irritation, reduce visbility, heart-diseases, nervous disorder, smogs and other unpleasant experiences. In this paper quantitative estimations of some air-pollutants such as sulphur dioxide, carbon monoxide, oxides of nitrogen, chlorine and particulate matters are presented with their hazardous effects. The remedial measures for the control of major air emissions are also discussed.
Effect of Chitosan/jojoba oil/ZnO nanocomposite Capsules Applications on Some Chemical Properties of Polluted Soils

SING chitosan/jojoba oil and chitosan/jojoba oil/ZnO nanocomposite capsules, this study looked at how to get rid of Fe 2+ and Ni 2+ ions from soil in study areas with high levels of heavy metals like Fe 2+ and Ni 2+ ions, which pose environmental risks to the ecosystem. The created adsorbents were characterized using scanning electron microscopy (SEM), Fourier transform infrared (FTIR), particle size measurements and transmission electron microscopy (TEM). A batch experiment was performed to determine the effects of contact time, adsorbate concentration, temperature
Effects of Goal Management Training on self-efficacy, self-esteem, and quality of life for persons with schizophrenia spectrum disorders

Persons with schizophrenia often show executive dysfunction assessed with both subjective (self-report) and objective (neuropsychological tests) measures. In a recent randomized controlled trial (RCT), subjective executive functioning in everyday life was improved following Goal Management Training (GMT). The aim of the current study is to investigate the potential of GMT to improve secondary well-being outcomes from that RCT, including self-esteem, self-efficacy, and quality of life in persons with schizophrenia spectrum disorders. Since well-being is frequently lower in persons with schizophrenia compared to healthy individuals, further knowledge about well-being as an outcome after cognitive remediation may have implications for clinical treatment. Sixty-five participants were randomly assigned to GMT (n = 31) or a waiting list control condition (n = 34). Assessments were conducted at baseline (T1), immediately after the intervention (T2–5 weeks), and at six-month follow-up (T3). Measures included the Rosenberg Self-Esteem Scale, the Perceived Quality of Life Scale, and the General Self-Efficacy Scale. Results were analyzed using a linear mixed model analysis for repeated measures. There were no significant effects of GMT on self-esteem or quality of life. Only the GMT group showed a significant increase in self-efficacy that was most evident at six months follow-up, F(1, 34) = 10.71, p = 0.002, d = 0.71. Improved self-efficacy was found to correlate significantly with a reduction in perceived executive dysfunction in an exploratory post hoc analysis. Our findings demonstrate the potential of GMT in improving self-efficacy in schizophrenia Clinical trial registration:https://clinicaltrials.gov, NCT03048695.
The effects of theory of planned behavior-based intervention on quality of life in women living with HIV in Iran: a randomized controlled trial

Introduction: Despite growing research, only few studies have investigated effective models for improving quality of life (QoL) of people living with human immunodeficiency virus (HIV). This study aimed to determine the impact of theory of planned behavior-based (TPB) intervention on the quality of life in women living with HIV. Material and methods: This randomized controlled trial was conducted among 80 women living with HIV in Tehran, Iran, between January and October 2018. 80 women were selected randomly, and 40 women were assigned to each intervention and control group. Intervention program included four weekly sessions, each lasting 90-120 minutes. A demographic characteristics questionnaire and World Health Organization quality of life questionnaire for HIV brief version (WHOQOL-HIV-BREF) instrument were used at baseline, 8, and 12 weeks after intervention in both groups. Higher score indicated better QoL. Results: The score of overall QoL in the intervention group, 8, and 12 weeks after education were 102.38 ± 16.10 and 107.97 ± 15.40, compared with 78.92 ± 13.60 and 75.10 ± 12.90 in the control group. Analyzing between-group differences revealed that the score of QoL in the intervention group at 8 and 12 weeks after education were significantly higher than baseline (102.38 ± 16.10 and 107.97 ± 15.40 vs. 93.2 ± 19.40, respectively). Whereas in the control group, this score decreased significantly, indicating a decline in the quality of life in HIV-positive women (78.92 ± 13.60 and 75.10 ± 12.90 vs. 94.50 ± 16.50, respectively) ( p < 0.001). Conclusions: Theory-based training of planned behavior improves attitudes towards HIV, abstract norms, control and behavioral intention, behavior, and overall quality of life in women living with HIV. Registration number