bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mil días de Musicoterapia en la Sala de rehabilitación intensiva del Hospital Pirovano (SaRIP)
Authors: Grinberg Jonathan 
Published: September 2024

Este trabajo se basa en la experiencia profesional de un musicoterapeuta en una sala de rehabilitación intensiva de un hospital público en la Ciudad Autónoma de Buenos Aires (CABA), Argentina. El servicio se llama “SaRIP” y, si bien fue creado durante la pandemia de Sars-Covid 19 en septiembre del 2020, actualmente continúa realizando su labor con diversas patologías que requieren de rehabilitación interdisciplinaria. Tiene como objetivo jerarquizar la salud pública y las políticas sanitarias de la población y, sobre todo, el acceso al derecho a la salud integral de todas las personas. Se plantea desarrollar la importancia del trabajo interdisciplinario, institucional y comunitario para abordar las recuperaciones desde una perspectiva compleja bio-psico-social. A su vez, se propone emprender una recorrida que parte del posicionamiento ético y teórico de la musicoterapia hasta articularlo posteriormente con la práctica clínica propiamente dicha. Finalmente se describen dos dispositivos representativos de la Sala SaRIP creados en el espacio musicoterapéutico, tales como el Podcast SaRIP Pirovano y la Celebración del alta hospitalaria, donde se busca especificar los emergentes significativos que son dispositivos que se reconfiguran en distintos escenarios, a partir del trabajo colectivo en la búsqueda por garantizar el acceso a derechos.
Detection of Natural Enemies of the Whitefly (Hemiptera: Aleyrodidae) in Southeastern Anatolia Region, Turkey1
Authors: Demírcíoğlu Mustafa Cihan , Bayhan Erol 
Published: September 2024

Abstract
A survey was conducted between 2019 and 2022 to identify natural enemies of the whitefly, Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae), in the provinces of Şırnak, Siirt, Batman, Diyarbakır, Mardin, Şanlıurfa, Adıyaman, Gaziantep, and Kilis in the Southeastern Anatolia Region of Turkey. Sampling using several different techniques was conducted in agricultural, nonagricultural, and forested areas throughout the duration of the study. We identified natural enemies of B. tabaci, which causes significant crop losses in Turkey and worldwide, with the objective of reducing chemical control in favor of promoting biological control of the pest in the coming years. In our survey, we collected and identified 37 species of predators and 2 species of parasitoids as natural enemies. Of those, the greatest number of species were from the family Coccinellidae (Coleoptera). Coccinella septempunctata (L.), Hippodamia variegata (Goeze), and Orius laevigatus (Fieber) were found in all provinces surveyed.
Comparison of Obstetric Outcomes Among Various Weight Strata in a Teaching Hospital in Southwest, Nigeria
Authors: Okunola Temitope Omoladun , Olofinbiyi Babatunde Ajayi , Awoleke Jacob Olumuyiwa , Aduloju Olusola Peter , Olagbuji Nelson Biodun , Olaogun Oluwole Dominic , Olofinbiyi Olufunke Rebecca 
Published: September 2024

AIM:The aim of the study is to evaluate the trend in adverse obstetric outcomes of parturients across the spectrum of body mass index.METHODS:This is a cohort study of pregnant women who received obstetric care at the Obstetrics and Gynecology Department of the Ekiti State University Teaching Hospital, Ado-Ekiti, between January 2015 and December 2015. The data were prospectively collected into the Obstetric Data Registry of the department. Composite adverse maternal outcomes and composite adverse fetal outcomes were obtained for each group. Data were analyzed with SPSS version 24, and ap-value of less than .05 was considered statistically significant.RESULTS:Out of the 1,006 parturients, 334 (33.2%) were obese. Composite adverse maternal outcome increased from 35.1% for women with normal weight to 62.3% for obese women (p< .001). Composite adverse fetal outcome also increased from 25.9% for women with normal weight to 30% for obese women (p< .001). The odds of composite adverse maternal outcome were increased in overweight women (adjusted odds ratio [aOR] 1.52, 95% confidence interval [CI] [1.12, 3.49]) and obese women (aOR 1.65, 95% CI [1.21, 2.24]) compared with women with normal weight. Also, the odds of composite adverse fetal outcome were reduced in overweight (aOR 0.64, 95% CI [0.44, 0.93]) but increased in underweight (aOR 4.78, 95% CI [2.00, 11.44]) and obese (aOR 1.16, 95% CI [1.03, 12.39]) women.CONCLUSION:Composite adverse obstetric outcomes were increased in underweight, overweight, and obese women when compared with women with normal weight.
Oncologists' communication about tobacco and alcohol use during treatment for esophagogastric cancer: a qualitative observational study of simulated consultations
Authors: Hoek Danique W. Bos-van den , de Water Lois F. van , Hoedjes Meeke , Roodbeen Ruud , Klarenbeek Bastiaan , Geijsen Debby , Smets Ellen M.A. , Laarhoven Hanneke W.M. van , Henselmans Inge 
Published: September 2024

Abstract

Purpose
Tobacco and alcohol use influence cancer risk as well as treatment outcomes, specifically for esophageal and gastric cancer patients. Therefore, it is an important topic to discuss during consultations. This study aims to uncover medical, radiation and surgical oncologists’ communication about substance use, i.e., tobacco and alcohol use, in simulated consultations about curative and palliative esophagogastric cancer treatment.
Methods
Secondary analyses were performed on n = 40 standardized patient assessments (SPAs) collected in three Dutch clinical studies. Simulated patients with esophagogastric cancer were instructed to ask about smoking or alcohol use during treatment. The responses of the 40 medical, radiation and surgical oncologists were transcribed verbatim and thematic analysis was performed in MaxQDA.
Results
Oncologists consistently advocated smoking cessation during curative treatment. There was more variation in their recommendations and arguments in the palliative compared to the curative setting and when addressing alcohol use instead of smoking. Overall, oncologists were less stringent regarding a behavior change in the palliative than in the curative setting. Few oncologists actively inquired about the patient’s perspective on the substance use behavior, the recommended substance use change or the support offered.
Conclusion
Clear guidelines for oncologists on when and how to provide unequivocal recommendations about substance use behavior change and support to patients are needed. Oncologists might benefit from education on how to engage in a conversation about smoking or alcohol.
Aftershock analysis and forecasting for the crustal seismicity in Romania
Authors: Ghita Cristian , Enescu Bogdan , Marinus Alexandru , Moldovan Iren-Adelina , Ionescu Constantin , Constantinescu Eduard Gabriel 
Published: September 2024

Abstract

Romania is known for its persistent seismicity at intermediate-depths in the Vrancea region, however crustal areas are also a significant source of seismic hazard, although large shallow events are less common. This study is a first attempt to characterize statistically and propose a forecasting model for two recent aftershock sequences occurred at crustal depths in 2014 and 2023, following mainshocks of moderate magnitudes (Mw5.4 for both mainshocks). We apply a robust approach based on a state-of-the-art procedure developed and tested previously for Japan, which is able to determine in quasi real-time the parameters of the Gutemberg-Richter law and Omori-Utsu law for aftershocks and provide probability estimates of larger events, which can be updated in real time. For both the 2014 Vrancea-Marasesti and 2023 Gorj sequences we test several relatively short (hours to day) learning periods and subsequent forecasting periods. Both sequences are characterized by relatively high b-values (~ 1.2), obtained for all tested learning periods, which may point out to the release of stress following the mainshocks or the presence of crustal fluids in the studied regions. The aftershock decay is characterized by a parameter p of around 1.0, commonly observed for crustal aftershock sequences. The c-value, which indicates the onset time of the power-law decay of aftershocks, is on the order of minutes to hours. Although the two studied sequences follow mainshocks having the same magnitude, the probability of larger aftershocks for the 2023 Gorj sequence are larger. The results obtained in this study are encouraging for the development of a real-time monitoring and forecasting system for the Romanian crustal seismicity.
Harnessing Biogas from STPs for Sustainable Energy: A Techno-Economic Study
Authors: Perez Nestor Proenza , Cabral Edilson Adriao , Bimestre Thiago Abelardo , Loures Carla Almeida , Maya Diego Yepes , Ribeiro Luis Frölen 
Published: September 2024

Abstract

The pursuit of affordable renewable energy sources has increased interest in biogas. One of the sources used to produce this fuel type is organic waste, which turns what would have been discarded into a valuable product. This study evaluated the potential and economic feasibility of generating electricity using biogas produced in a sewage treatment plant. The plant currently operates with an average inflow of 25 litres per second, producing an estimated 9.69 cubic meters of biogas per hour. The electricity generated has a potential of 125.22 megawatt-hours per year, meeting 47.4% of the plant's electricity needs. The average cost of the electricity produced ranges from 0.09 to 0.12 R$/kWh, depending on the interest rate used. The economic analysis suggests a maximum payback period of two years for the initial investment, with a net present value (NPV) of R$ 47,687.49 over the project's 20-year lifespan. Additionally, extrapolating the results to account for future expansion of the sewage treatment plant based on the total population in the region served by the sewage system reveals even more promising results.
Surface rejuvenation of near-Earth asteroids triggered by planetary shadows
Authors: Kitazato Kohei , Sakurai Sho , Hyodo Ryuki , Hirata Naru 
Published: September 2024

Abstract

Near-Earth asteroids (NEAs) are small, airless bodies that orbit in near-Earth space. Recent studies suggest that surface rocks on NEAs can undergo crack growth and fragmentation due to mechanical stresses induced by diurnal temperature cycling. This thermal fatigue process has the potential to rejuvenate asteroid surfaces that have aged due to solar wind irradiation and micrometeorite impacts. However, the mechanism by which initial cracks are generated as a trigger for thermal fatigue fragmentation is not well understood. Here we show that NEAs can experience rapid temperature changes sufficient to generate microcracks in surface rocks as they pass through the shadow of a terrestrial planet. Our statistical analysis of backward orbital integrations demonstrates that NEAs pass through planetary shadows more often than they encounter planets at distances where planetary tides become effective. We also found that the duration of shadow passages is shorter than the average spin period of asteroids, indicating that expansion stress from rapid heating occurs immediately after contraction stress from rapid cooling. These results suggest that thermal shock caused by planetary shadows may play a key role in triggering surface rejuvenation of NEAs.
Observationally Constrained Emissions Variability Contributes Significantly to Global NOx, CO, and CO2 Emissions
Authors: Wang Shuo , Cohen Jason , Guan Luoyao , Lu Lingxiao , Tiwari Pravash , Qin Kai 
Published: September 2024

Abstract

Due to relatively short lifetime and wide variability, global-scale high-resolution emission inventories of trace gasses need further improvement to match ground-based observations, especially with respect to extreme events and changing sources. This work uses two satellites in tandem to globally constrain daily to weekly emissions of NOx and CO grid-by-grid over the most changing regions. The emissions of NOx and CO are respectively computed as 5.76×105-6.25×106 MT/yr and 1.06×107-2.78×107 MT/yr, representing a mean 200% and 130% increase over existing inventories. A considerable amount of emissions comes from: regions not previously identified, short-to-medium term temporal variation, and three source types (biomass burning, long-range transport, and mixed). The extra CO2 emissions due to chemical decay of extra CO leads to an annual average increase of 3.5% from Central Africa and 6.1% from the Amazon, reflecting the importance of addressing CO from biomass burning.
Satisfaction of virtual Education based on the Importance-Performance Analysis during the COVID-19 pandemic in Nursing Students: An analytical study
Authors: Sigaroudi AbdolHossein Emami , Saripour Elnaz , Poursheikhian Majid , Maroofizade Saman 
Published: September 2024

Abstract

Background
Understanding students' satisfaction and academic performance towards virtual education helps educational planners achieve more effective virtual education to attain educational goals. This study determined the satisfaction with virtual education based on the importance-performance analysis model during the COVID-19 pandemic.
Methods
In this analytical-cross-sectional study, 200 nursing students participated using a random sampling method. The instruments used were a demographic questionnaire and a Questionnaire on students' satisfaction with virtual education based on the importance-performance analysis model. Data were analyzed using descriptive statistics and Multiple linear regression analysis in SPSS software version 16.
Results
Students' satisfaction with virtual education was higher than the average regarding importance (3.54 ± 0.60) and performance (2.80 ± 0.72). In the IPA model, 6 items with the topics of "interaction between students," "active participation," "suitability of the home environment for learning," "access to the Internet at a suitable speed," "interaction between professor and student," "access to equipment" Suitable for connecting to the Internet," were located in the first quarter of the importance-performance matrix, which, despite its high importance in determining the satisfaction of learners, did not have optimal performance.
Conclusion
In general, the facilities and conditions of virtual education need to be reformed. Students' interaction with each other and the professor, participation during training, Internet speed, conditions, and equipment needed to connect to the Internet should be considered and prioritized for improvement.
Combining real-time and historic marine mammal information for sonar risk assessment forecasting and backtesting
Authors: Day Andrew 
Published: September 2024

Abstract

Incorporating (near) real-time detection data into active sonar risk assessments has been difficult due to challenges in collecting the data and fusing multiple sensing modalities. A mixture model is developed in this work which splits marine mammals in the area into known and unknown mammals according to the detections made by sensors. The spatial-temporal coverage of the same sensors is also incorporated since they provide additional information on where the mammals are not located when no detections have been made. The detection data is used to conditionally update the probability of harm to the known and unknown marine mammals due to active sonar and the probability of where to find these mammals. The total number of harmed mammals are aggregated, and worst-case scenarios are quantified using risk measures from mathematical finance. These risk measures also provide a way to backtest the underlying models the risk framework depends on. An example backtest against the underlying mammal density model is shown using the Value-at-risk measure with simulated detection data. This work is a promising further step towards leveraging real-time monitoring data for minimizing the risk of harm to marine mammals.
Identification of sepsis-related genes by integrating eQTL data with Mendelian randomization analysis
Authors: Wen Chao , Yang Dongliang , Guo Hongyan , Dong Chuankun , Peng Qingyun , Zhao Jiangwei , Wang Runan , Li Yingqi , Li Yuanhao , Yang Suosuo , Ren Yanbo , Kang Jian , Li Yuling 
Published: September 2024

Abstract

Background
Sepsis is defined as a life-threatening organ dysfunction caused by a dysfunctional host response to infection and is associated with a high mortality. However, there is currently no effective treatment strategy for sepsis.
Methods
We obtained GSE263789, GSE54514 and GSE66099 from the Gene Expression Omnibus (GEO) database and selected differentially expressed genes (DEGs). We extracted expression quantitative trait loci (eQTL) as exposure and sepsis GWAS as outcome from the IEU Open GWAS database. MR analysis was used to assess causality between eQTL and sepsis. The overlapping genes of DEGs with significant eQTL were identified as key genes. Enrichment analysis and immune cell infiltration analysis were performed and the expression of key genes was verified in a validation cohort.
Results
The 18 genes were identified as sepsis-related key genes, including 11 up-regulated genes (SEMA4A, LRPAP1, FAM89B, TOMM40L, SLC22A15, MACF1, MCTP2, NTSR1, PNKD, ACTR10, CPNE3) and 7 down-regulated genes (IKZF3, TNFRSF25, HDC, HCP5, LYRM4, TFAM, RPS15A). Enrichment analyses showed that these key genes are mainly involved in biological processes related to immune and inflammatory response. Compared with healthy controls, the abundance of neutrophils and activated mast cells increased in the sepsis group. Most of the key genes are correlated with immune cells, including neutrophils, CD8 T cells, resting NK cells, plasma cells, memory B cells, and macrophage subtypes.
Conclusion
By combining bioinformatics and MR analysis, we identified key genes associated with sepsis, enhancing our understanding of the genetic pathogenesis of sepsis and providing new insights into therapeutic targets for sepsis.
New evidence for content validity of the German version of the Acute Cystitis Symptom Score: cognitive interview study among patients and experts
Authors: Nestler Sophie , Apfelbacher Christian , Özkan Ebru , Naber Kurt , Piontek Katharina 
Published: September 2024

Abstract

Purpose: The Acute Cystitis Symptom Score (ACSS) is a well-established and clinically validated instrument to assess symptoms and quality of life in women with uncomplicated urinary tract infections (uUTIs). A previous study examining the content validity of the German version of the ACSS has shown some methodological limitations when rated against the criteria for content validity of the COnsensus-based Standards for the Selection of Health Measurement INstruments (COSMIN) initiative. Extending the existing evidence, the present study aimed to assess the content validity of the German version of the ACSS according to the criteria of the COSMIN methodology.
Methods: In individual cognitive interviews following a structured, standardized interview guide, women with a history of uUTI and experts from different medical fields rated the instructions, items, response options and recall period of the ACSS in terms of relevance, comprehensiveness and comprehensibility.
Results: A total of 14 patients and 14 experts participated in two rounds of interviews. Both patients and experts rated the overall relevance and comprehensiveness of the instrument as appropriate. Modifications were primarily made to improve comprehensibility. Ten items underwent minor modifications or were given examples to enhance comprehensibility, and the scales of five items were linguistically revised.
Conclusions Based on comprehensive qualitative assessments, the findings of the present study show that the ACSS is valid for the assessment of symptoms and quality of life in women with uUTIs. Modifications of the instrument concerned comprehensibility issues. Psychometric validation of the modified version of the ACSS is indicated.
Nonlinear vibration analyses of a sandwich beam made of a magnetorheological fluid core and functionally graded material face layers, based on differential quadratic method
Authors: Yari Omid Mirali , Mehrabadi Saeed Jafari , Najafizadeh Mohammad Mahdi 
Published: September 2024

Abstract

Background
Magneto-rheological fluids (MRF) are considered smart materials with the principal characteristic being enhanced viscosity in the presence of magnetic fields. Sandwich MRF beams are able to minimize the effect of external vibrations by changing the structural hardness and damping properties in the presence of magnetic fields. Despite its importance in mechanical engineering, the behavior of such sandwich beams has not been investigated in response to free nonlinear vibration.
Methods
We investigated the behavior of a sandwich beam made of an MRF core and two functionally graded face layers exposed to free nonlinear vibration. Specifically, we examined the magnetic field intensity, power law components, the thickness of the fluid core and boundary layers, and the beam’s length versus the natural frequency and damping coefficient. Our analysis of the natural frequency and loss factor considered the Hamilton's principle, and Euler-Bernoulli (E-B) and Timoshenko (TS) beam theories, based on a generalized differential quadratic method. Finally, the findings were validated by comparison to reputable research publications.
Results
The structure’s natural frequency rose with increases in the beam’s maximal deflection, power law components, and the thickness of MRF core. Conversely, increases in the magnetic field intensity and the beam length reduced the beam behavior, while the effect of magnetic field intensity on the natural frequency and Loss factor was insignificant.
Conclusions
Increases in the maximal rise of the beam and natural frequency were greater based on the TS beam theory than on the E-B theory. Also, the maximal and minimal beam’s natural frequencies were observed based on simple and clamped support models of TS and E-B beam theories, respectively. The opposite was true with respect to the beam’s loss factor.
EEG-Based Emotion Recognition Model Using Fuzzy Adjacency Matrix Combined with Convolutional Multi-Head Graph Attention Mechanism
Authors: Cao Mingwei , Dong Yindong , Chen Deli , Wu Guodong , Xu Gaojian , Zhang Jun 
Published: September 2024

Abstract

Electroencephalogram (EEG) signals have been widely studied and applied in the field of human-computer interaction interfaces based on affective computing. However, the remarkable non-Euclidean structure of EEG signals poses a challenge for conventional neural network algorithms to effectively capture their complex dynamic properties. A Fuzzy adjacency matrix combined with convolutional multi-head graph attention mechanism (FCMGAT) is proposed to enhance the ability of graph neural networks to handle complex nonlinear relationships between channels during the adjacency matrix. Firstly, this method optimizes the adjacency matrix through fuzzy logic and achieves adaptive adjustment of the weight relationship between nodes through parameterized learning, thereby preventing model learning instability caused by weight oscillation; secondly, the global dependencies between channels are captured using the multi-head graph attention mechanism, which enhances the potential capturing ability of EEG emotion information. Finally, the obtained multidimensionalized emotional feature expression is input into the full connectivity layer for emotion recognition. Visual analysis of fuzzy adjacency matrices provides effective connectivity insights into affective correlations between channels. We conducted experiments on the SEED and SEED-IV datasets, and the results showed that the FCMGAT model showed significant superiority in the emotion classification of EEG signals. Its average emotion recognition accuracy reached 97.412% and 92.086%, respectively, with standard deviations of 2.385% and 3.69%. This study provides a new approach for EEG emotion recognition.