bluuebunny/crossref_metadata_2025 huggingface dataset:
Constraining Thermal Emission of Pluto’s Haze from Infrared Rotational Lightcurves
Authors: Wan 万 Linfeng 霖丰 , Zhang Xi , Hofgartner Jason D.
Published: September 2023

The rotational lightcurves of the Pluto-Charon system were previously believed to be solely attributed to their surfaces. However, a proposed scenario of haze cooling suggests that the atmospheric haze of Pluto could significantly contribute to mid-infrared emission, which calls for a revisit of previous analyses. In this study, we employ a Bayesian retrieval approach to constrain the haze emission from the rotational lightcurves of the Pluto-Charon system. The lightcurves were observed by the Spitzer and Herschel telescopes at 24 and 70 μm, and were combined with the latest surface albedo maps of Pluto and Charon from the New Horizons spacecraft. Our results show that including the haze emission is consistent with all current observations, with the best-fit haze flux around 1.63 mJy. This is in agreement with the composition of Titan-like tholins. However, the “surface only” scenario, which excludes the haze contribution, can still explain the observations. We conclude that the current data at 24 μm cannot constrain Pluto’s haze emission due to the degeneracy with Charon’s surface emission. Regardless, some surface properties of Pluto are well constrained by the shape of the lightcurves, with a thermal inertia of approximately 8–10 MKS and a relatively low CH4 emissivity of 0.3–0.5. We suggest that observations by the JWST telescope at 18 μm, which can resolve Pluto from Charon, could directly probe the haze emission of Pluto due to the low surface emission at that wavelength.
Probabilistic Solar Flare Forecasting Using Historical Magnetogram Data
Authors: van der Sande Kiera , Muñoz-Jaramillo Andrés , Chatterjee Subhamoy
Published: September 2023

Solar flare forecasting research using machine learning (ML) has focused on high-resolution magnetogram data from the SDO/HMI era covering solar cycle 24 and the start of solar cycle 25, with some efforts looking back to SOHO/MDI for data from solar cycle 23. In this paper, we consider over four solar cycles of daily historical magnetogram data from multiple instruments. This is the first attempt to take advantage of this historical data for ML-based flare forecasting. We apply a convolutional neural network (CNN) to extract features from full-disk magnetograms together with a logistic regression model to incorporate scalar features based on magnetograms and flaring history. We use an ensemble approach to generate calibrated probabilistic forecasts of M-class or larger flares in the next 24 hr. Overall, we find that including historical data improves forecasting skill and reliability. We show that single-frame magnetograms do not contain significantly more relevant information than can be summarized in a small number of scalar features, and that flaring history has greater predictive power than our CNN-extracted features. This indicates the importance of including temporal information in flare forecasting models.
CHIANTI—An Atomic Database for Emission Lines. XVII. Version 10.1: Revised Ionization and Recombination Rates and Other Updates*
Authors: Dere Kenneth P. , Del Zanna G. , Young P. R. , Landi E.
Published: September 2023

The CHIANTI atomic database provides sets of assessed data that are used for simulating spectral observations of astrophysical plasmas. This article describes updates that will be released as version 10.1 of the database. A key component of CHIANTI is the provision of ionization and recombination rates that are used to compute the ionization balance of a plasma over a range of temperatures. Parameters for calculating the ionization rates of all stages of ions from H through Zn were compiled and inserted into the CHIANTI database in 2009. These were based on all measurements that were available at the time and supplemented with distorted wave calculations. Since then, there have been a number of new laboratory measurements for ions that produce spectral lines that are commonly observed. Parameters have been fit to these new measurements to provide improved ability to reproduce the ionization cross sections and rate coefficients, and these are added to the database. CHIANTI 10.1 also includes new recombination rates for the phosphorus isoelectronic sequence, and the updated ionization and recombination rates have been used to calculate a new ionization equilibrium file. In addition, CHIANTI 10.1 has new electron collision and radiative data sets for eight ions in the nitrogen and oxygen isoelectronic sequences and updated energy level and wavelength data for six other ions.
Evolution of Galaxy Size in the FOGGIE Simulations
Authors: Lee Hyeonmin , Acharyya Ayan , Wright Anna C. , Augustin Ramona , Lochhaas Cassandra , Peeples Molly S. , Tumlinson Jason
Published: September 2023

Cosmological simulations are a powerful tool to study galaxy evolution as they can span a substantial fraction of the cosmic time. In this research note, we use the Figuring Out Gas and Galaxies In Enzo simulations—cosmological hydrodynamic simulation of Milky Way-like galaxies—to measure the evolution of the radius of the galaxy disk. Additionally, we analyze the simulations along three different lines of sight. Lastly, we show that the disk size increases over time regardless of angle of projection.
Ejected Particles after Impact Splash on Mars: Aggregates and Aerodynamics
Authors: Becker T. , Teiser J. , Jardiel T. , Peiteado M. , Muñoz O. , Martikainen J. , Martin J. C. Gomez , Merrison J. , Wurm G.
Published: September 2023

Our earlier laboratory measurements showed that low-velocity sand impacts release fine <5 μm dust from a Martian simulant soil. This dust will become airborne in the Martian atmosphere. Here, we extend this study by measuring aerodynamic properties of ejecta and characterizing deviations from the behavior of spherical, monolithic grains. We observe the settling of particles emitted as part of an impact splash. The sizes (20 to 280 μm) and sedimentation velocities (0.1 to 0.8 m s−1) of the particles are deduced from high-speed videos while the particles sediment under low ambient pressure of about 1 mbar. The particles regularly settle slower than expected, down to a factor of about 0.3. Using optical microscopy, the shape of the captured particles is characterized by simple axis ratios (longest/smallest), which show that the vast majority of particles are irregular but typically not too elongated, with axis ratios below 2 on average. Electron microscopy further reveals that the particles are typically porous aggregates, which is the most likely reason for the reduction of the sedimentation velocity. Due to the reduced bulk density, aggregates up to 10 μm in diameter should regularly be a part of the dust in the Martian atmosphere.
The efficacy of hyaluronic acid in treating premature ejaculation: A systematic review and single-armed meta-analysis
Authors: Warli Syah Mirsya , Yusuf Krisna Adhitya Wilantara , Kadar Dhirajaya Dharma , Siregar Ginanda Putra , Prapiska Fauriski Febrian
Published: September 2023

Aim: To evaluate the efficacy of hyaluronic acid (HA) injection in treating patients with premature ejaculation (PE).

Methods: Matching interventional studies from MEDLINE, CENTRAL, and CINAHL. Outcomes were intravaginal estimated latency time (IELT), glandular circumference, satisfaction score, and adverse event rate. Data were assessed with Open Meta Analyst, DerSimonian and Laird random-effects model.

Results: Ten interventional studies, three double-armed, with low to moderate bias risk, revealed significant differences in baseline IELT and 1, 3, and 6-month post-hyaluronic acid injection, with mean differences of 217.035 (95% CI, 89.330–344.739), 161.513 (95% CI, 37.262–285.764), and 196.350 (95% CI, 142.314–250.386) seconds. Glandular circumference increased by 10.956 mm (95% CI, 3.314–18.598) after six months.

Conclusion: Hyaluronic acid successfully extended IELT in premature ejaculation patients at one, three, and six months post-treatment with no severe side effects. It also enhanced glandular size and sexual satisfaction for patients and their partners.
A new species of the genus Conosiphon Becker, 1923 and the first records of this genus for Europe (Diptera, Asilidae)
Authors: van den Broek Reinoud , Álvarez Fidalgo Piluca , Smit John
Published: October 2023

A new species of Conosiphon Becker, 1923, Conosiphon ianus Álvarez Fidalgo & van den Broek, sp. nov., is described from Spain, representing the first record of this genus for Europe. It is illustrated in high-resolution photographs and the first ecological information is provided, as well as a key to all species tentatively placed in this genus.
Staff Perceptions of the Impact of the COVID-19 Pandemic on Older Adults Living in a Residential Long-Term Care Facility
Authors: Doyle Mary , Louw Julia S. , Corry Margarita
Published: September 2023

Older adults residing in long-term care facilities (LTCFs) were an at-risk group during the coronavirus disease 2019 (COVID-19) pandemic. Actions to prevent transmission in LTCFs included visitation restrictions, suspension of group activities, and isolating residents in their rooms. Despite these measures, this vulnerable cohort experienced high levels of infection and mortality. The current article reports RNs' and health care assistants' perceptions of the impact of COVID-19 on residents in a LTCF. Using a descriptive qualitative design, semi-structured interviews, which were conducted with seven RNs and four health care assistants, were thematically analyzed. Three themes emerged:
Impact on Daily Routine
,
Disruption to Relationships With Staff
, and
Vulnerability
. Staff perceived residents were negatively impacted physically, emotionally, and socially as a direct consequence of COVID-19 and by strategies introduced to protect them contracting the virus. It is recommended that the long-term impact of the COVID-19 pandemic on this cohort be evaluated from the perspective of all stakeholders (i.e., residents, staff, and families) using a longitudinal research design. [
Journal of Gerontological Nursing, 49
(10), 44–50.]
Pathomechanisms of Proteins in Polycystic Ovary Syndrome (PCOS)
Authors: Jain Apoorva , Oli Ajay Kumar
Published: October 2023

Polycystic ovary syndrome (PCOS) is the most common endocrine disorder in females of reproductive age. It is one of the main causes of infertility in females with a prevalence of 5-10%. PCOS is characterized by Oligo or anovulation, hyperandrogenism, and polycystic ovaries. PCOS is also associated with obesity, type 2 diabetes, hyperinsulinemia, insulin resistance, lipid abnormalities, and cardiovascular diseases. The early diagnosis of PCOS is complicated and complex due to the overlapping symptoms of PCOS. Genetic variance, epigenetic changes, and disturbed lifestyles lead to the development of pathophysiological disturbances and disturbed lifestyles in women. At the molecular level, different proteins and molecular and signaling pathways are involved in disease progression. Proteomics is advantageous in linking both genotype and phenotype and contributing to biomarker discovery. Investigating the molecular mechanism and proteins underlying PCOS is imperative to gain insight into pathophysiology of PCOS and formulate novel diagnostic and treatment strategies.
Molecular Level Analogy and Approaches of Gibson Assembly in Genome-Wide Analysis
Authors: Chembuli Venkata Satya Sai Nagasri Abhishek , Chittipolu Ajaykumar , Katasani Haritha
Published: October 2023

DNA assembly has always been a vital foundational technology for synthetic biology and other bioengineering processes. The development of restriction digestion and ligation methods has played a significant role in developing better DNA assembly methods with higher fidelity, efficiency, and modularity. Daniel Gibson discovered an exonuclease-based robust cloning method to assemble the DNA in the correct sequence known as the Gibson assembly. This method has been widely adopted as a major workhouse for synthetic biology experiments that have provided a new platform for the rapid cloning of multiple DNA fragments into the vector with a minimal time frame under isothermal conditions utilizing an overhang generated by 5' exonuclease, polymerase, and a DNA ligase. The Gibson assembly technique is widely applied in assembling single fragments, multiple fragments, site-directed mutagenesis, shotgun cloning, and creating library construct. Several advancements were observed in terms of developing minimal cells and synthesizing the cells and combining them with CRISPR technology.
Integrated Machine Learning Approach for Healthcare Disabilities Tracing and Detection
Authors: Bhukya Raghuram , Sangeetha M. , Hasan Dler Salih , Raja L. , Hannan Abdul
Published: October 2023

The convergence of internet of things (IoT) technology and machine learning has paved the way for innovative solutions in the healthcare domain. This chapter presents an integrated approach that leverages IoT devices and advanced machine learning techniques to trace and detect healthcare-related disabilities. By continuously monitoring physiological signals and activity patterns, the proposed system enables early intervention and personalized care. The authors outline the key components of this approach, including data collection from IoT devices, data preprocessing, feature extraction, and the application of machine learning algorithms. Furthermore, ethical and privacy considerations are discussed, along with the potential benefits and challenges of deploying such a system. This chapter sheds light on the potential of IoT and machine learning to revolutionize healthcare by providing proactive and data-driven solutions for disabilities tracing and detection.
Role of NLP and Deep Learning for Multimedia Data Processing and Security
Authors: Wani Mudasir Ahmad , Kaleem Sarah , Abd El-Latif Ahmed A.
Published: September 2023

This book chapter is a vital guide for understanding today's complex landscape of booming multimedia data and growing cybersecurity risks. It focuses on the transformative roles of natural language processing (NLP) and deep learning in both areas. The chapter starts by discussing deep learning's capabilities in multimedia data analysis before moving to its applications in cybersecurity. It then shifts to examine how NLP is revolutionizing multimedia data management through semantic understanding and context awareness. The chapter also explores the emerging area of social cybersecurity, spotlighting NLP's role in identifying and mitigating social engineering attacks and disinformation. It wraps up with key insights into future trends. Overall, this chapter serves as a comprehensive resource for applying NLP and Deep Learning techniques to multimedia data and cybersecurity challenges.
Beyond the “Real Americans”
Authors: Moore Jarrett D.
Published: September 2023

This chapter explores several specific areas of rural schooling and education that are ripe for new research. Positing a regionally defined rurality within a larger rural identity, the chapter focuses on language and discourse in analyzing national narratives regarding rural communities. Agency in research for Native communities and delving deeper into masculinity and sexuality in rural communities are also considered as ways to integrate more diverse communities into the rural research lens. Qualitative, descriptive research is posited as a well-suited research method to address the new directions in research.
Providing High-Quality Inclusive Out-of-School Time Programs in Rural Areas
Authors: Zanton Jessica Joy
Published: September 2023

This chapter presents information about out of school time (OST) programs that offer a supervised place for children to go after school and when school is not in session. These programs are vitally important in rural areas where after-school activities are limited, but there are many considerations that impact access to these programs for families. This is particularly true for families of children with disabilities. While disability laws provide some rules for OST program access for children with disabilities, inclusion is not always an easy road for programs in rural areas. Neither is recruiting and providing services to students and families from other marginalized groups. In this chapter, OST programs are addressed in relation to these topics, with a discussion of the challenges and recommendations for addressing these difficulties so that all students might benefit.
A Study on Evaluation and Analysis of Edge Detection Operators
Authors: Acharjya Pinaki Pratim , Joardar Subhankar , Koley Santanu , Barman Subhabrata
Published: September 2023

One of the key stages in both image processing and computer vision is edge detection. For analysis and measurement of several fundamental attributes of an object or set of objects in an image, such as area, perimeter, and form, correct identification of the edges of the objects in the image is crucial. The edge detection operators employed in image processing must therefore be thoroughly understood. In this chapter, fundamental theories and comparative assessments of several edge detection operators are discussed along with a proposed improved contour detection scheme for better performance measurement. The technique has been used to process a number of digital photos, and improved performance in terms of contour detection has been attained.
Understanding Corporate Scandals
Authors: Lopes Carlos F. , Ferreira Augusta , Ferreira Carlos
Published: September 2023

This chapter presents a conceptual model for identifying and understanding corporate scandals from a governance perspective. A mixed-method literature review was conducted to gather necessary constructs and concepts. More than 1,141 relevant documents were researched in Scopus. The conceptual model distinguishes between transgressions and scandals, emphasizing the importance of intentionality, attributes, aftermaths, and the media framing process. Three essential elements for a corporate scandal were proposed: transgression, significant aftermath, and publicity. The chapter's limitations include using a single database and focusing on the corporate field, leaving out government scandals. This chapter provides valuable originality by distinguishing corporate transgressions from scandals, identifying corporate scandals, and defining many terminologies, concepts, and theorizations that had to be developed to have a universal language that could support the construction of all this reasoning.
What to Do When the Bully Turns Out to Be a Parent?
Authors: DeSimone Janet R.
Published: September 2023

Emily Poe, an experienced special education teacher with a longstanding history of amiable and collaborative relationships with parents, is encountering difficulty with a parent of one of her students with multiple disabilities. The parent is calling and emailing the teacher relentlessly, often using inappropriate tone and language in her communications. The parent is also threatening legal action against the district if her son is not given the schedule and teacher she requested. The situation is becoming stressful and challenging for Emily. She is unsure of the best way to address the parent's behavior and is highly uneasy dealing with the parent. Emily requests help from her principal, the director of special education, and the assistant superintendent of instruction, but they do not want to get involved and believe the teacher should manage the situation. This case study highlights themes of adult bullying, teacher-parent conflicts, and inadequate administrative support.
Challenges in Paraeducator Supervision
Authors: Gentile Michael G. , Zagata Elizabeth , Sinclair Tracy E.
Published: September 2023

Ms. Moreno, a fifth-grade special education teacher, needs to shift service delivery schedules because a new student has been added to her caseload midyear. The new student has extensive behavioral support needs. Ms. Moreno supports his behavior intervention plan to get to know the student and ease the significant transition. She has a paraeducator, Mrs. Salamanca, providing writing support for another student whom Ms. Moreno has been directly servicing. Ms. Moreno provides relevant instructional materials to the paraeducator so she can support the student academically to make progress toward meeting his goals. Unfortunately, Mrs. Salamanca's support has not been as effective as hoped, and the student is now beginning to struggle with his writing.
Impact of AI-Based Special Education on Educators and Students
Authors: Sharma Swati , Tomar Vivek , Yadav Neha , Aggarwal Mukul
Published: October 2023

Artificial intelligence has the ability to radically change how teachers interact with pupils who have special needs. Although the effects of AI and other technologies have been far-reaching in the private and public sectors, they have also had a major impact on the academic world, making learning easier for students with sensory, motor, cognitive, and other forms of impairments. The application of AI in the classroom has encouraged the development of more accessible and inclusive teaching practices for all pupils. This chapter analyzed how AI has influenced special education in the classroom. The study analyzed (a) AI's impact on SEN education and (b) AI's impact on SEN education through its positive effects on SEN educators. This chapter explores how AI has the potential to enhance the lives, careers, and working environments of educators. It also explores how special education supported by AI could personalize lessons for each student and encourage greater involvement on their behalf.
Diagnosing Autism Spectrum Disorder in Children
Authors: Efeoğlu Ebru , Tuna Ayşe
Published: October 2023

In recent years, classifiers have been shown to provide highly accurate results in predicting problems; however, the success relies on the classifier as well as the employed dataset. In this study, the success of various classifiers for predicting autism spectrum disorder cases is analysed in terms of different metrics obtained both after testing on the same set and after applying 10-fold cross validation. When the same dataset has been used for the training and testing steps, all the algorithms have shown excellent results. Nevertheless, when 10-fold cross-validation has been applied, sequential minimal optimization has become the most successful classifier in terms of all the performance metrics. Although the results have proven the success of classifiers in predicting problems such as the one addressed in this study, autism spectrum disorder is a complex disorder, and the tools employing classifiers should be used under the supervision of certified professionals or clinicians.
HearUs
Authors: Taneja Shweta , Suri Bhawna , Thakur Narina , Vaish Mohini , Jain Rahul , Bisht Akshat
Published: October 2023

People with visual impairment (PVI) live a dependent life for doing their daily tasks. The most advanced assistive devices for PVIs currently available are either expensive or have poor performance or need extra hardware support. An integrated cognitive assistive tool for PVIs, HearUs, is implemented to handle path obstacle detection, product recognition, weather updates, reading documents or newspapers, automated dialing, and SOS service. It helps and directs the PVIs by giving them pertinent information about their surroundings. Different technologies have been used, like transfer learning, VGGNet 16 model for hurdle detection, barcode scanning for product identification, as well as text recognition and voice assistant capabilities. The Flickr8k dataset and a custom build dataset have been used for training the baseline model on around 8000 images. Furthermore, an experimental result shows that HearUs achieves 82% accuracy as compared to other existing applications.
Investigating Appearance Ideal Alignment of Popular Fitness Apparel Brands on Instagram
Authors: Monk Samantha , Fetter Sheldon , Coyne Paige , Woodruff Sarah J.
Published: October 2023

Social media that caters to societal appearance ideals can be harmful to psychological well-being, particularly within the health/fitness industry. The purpose of this study was to determine whether racial/ethnic diversity, appearance ideal depiction, fitness competency, objectification, and sexualization differed between men and women in fitness apparel brand Instagram content. A content analysis of 400 images from ten popular fitness apparel accounts was performed. A binomial logistic regression, χ2(17) = 222.744, p & lt; .001, suggested that images with white, lower body weight, lower musculature, and sexualized posed models tended to feature women, while non-white, higher body weight, higher musculature, and neutrally posed models tended to feature men. The results may help guide interventions to prevent negative body dissatisfaction from viewing such content and encourage fitness apparel brands to reflect on the content of their promotional images on Instagram.
Design and Application of a Multi-Semantic Art Education Communication Platform
Authors: Guo Changliang
Published: September 2023

The lack of corresponding learning service platform will lead to the decline of the teaching quality of art education. Therefore, based on the principle of multi semantic fusion, this paper establishes a multi semantic art education exchange platform and discusses in detail the function mechanism in the process of establishing the platform. Then, the platform is applied to the art education and learning of students of different grades in colleges and universities. By comparing the art education and learning of students of different grades, the platform is designed and improved, which greatly improves the teaching quality of art education. At the same time, in view of the problems existing in the process of art education, the art education exchange platform based on multi semantic fusion can still put forward corresponding rectification measures. The experimental results show that the multi-semantic art education exchange platform is conducive to students of different grades learning art education courses and improving the quality of art education teaching.
Application of Convolution Neural Network Algorithm in Online Education Emotion Recognition
Authors: Xu Zhaoxing
Published: September 2023

The setting of teaching environment is the key factor of teaching emotion recognition, and its superiority directly determines the teaching and learning effect between teachers and students. During online education, the changes of students' emotions are not paid attention to and addressed by teachers. Especially for young students, their self-study ability and self-discipline are poor, which further affects the learning. This paper proposes an improved convolutional neural network algorithm to create a decision tree model for managing students' scores. The experimental results show that the improved convolutional neural network algorithm improves the construction speed of the decision tree and reduces the calculation and execution time of the algorithm. The improved algorithm proposed in this paper has a good classification effect. The model provides a reference for the expansion and application of emotion recognition big data in education and teaching, and a feasible practical model for personalized teaching in online schools.
Impact of Mild Water Stress During the Flowering Stage on Leaf Functional Traits and Yield of Selected Cowpea Varieties Grown in The Low Country Dry Zone of Sri Lanka
Authors: Wijayaraja I. , Piyarathne M. , Weerasinghe L. K. , Malaviarachchi M. A. P. W. K. , Kumarathunge D. P. , Devasinghe U. , Rathnayake S. , Geekiyanage N.
Published: October 2023

Cowpea [Vigna unguiculata (L.) Walp.] is an important legume growing in tropical regions. Cowpea is grown in the Dry Zone of Sri Lanka as an inter-season crop. Rising temperatures and unpredictable precipitation patterns are major factors contributing to soil moisture stress in tropical agriculture. Despite the short life cycle, it is highly likely that cowpea experiences mild soil moisture stress (around 70% of field capacity) conditions at flowering stage due to enhanced evapotranspiration in response to increasing air temperature. In this study, five cowpea varieties were subjected to two soil moisture conditions; field capacity and mild water stress, at the onset of flowering under a split-plot design for two consecutive inter-seasons with the objectives to determine the leaf gas exchange and hydraulic traits of cowpea exposed to soil moisture stress and the underlying relationships between yield reduction and leaf gas exchange, hydraulic, and agronomic traits. The yield reduction (p<0.05) in the five varieties tested was associated with a reduction in leaf net assimilation rate, number of pods/plant, and number of seeds/pod. Variety-dependent reductions in leaf functional traits in many varieties leading to a reduction in yield parameters (p<0.05) were obvious under mild water stress conditions. Despite the water stress variety, Waruni performed well in both moisture conditions. As conclusion, cowpea varieties for inter-season cultivation should be selected based on ability to maintain yield under mild water stress conditions. A special emphasis should be placed on commencing cultivation as soon as the main crop is harvested to better utilize the residual moisture.
Vaginal treatment with solid state non ablative laser 1470 nm for vaginal atrophy in post menopausal women
Authors: Mallozzi Maddalena
Published: September 2023

One of the most common menopausal symptoms is vaginal dryness. Menopausal sex hormone deficiency causes changes in the urogenital tract, where estrogens are the primary regulators of vaginal physiological functions. Many treatments have been developed over the years, but the majority of them are ineffective or have potential side effects. Actually, laser therapy has the highest efficacy with the fewest (or none) side effects. Thermal energy acting on the vaginal wall has been shown in studies to stimulate collagen synthesis, induce neovascularization, enrich the glycogen epithelium, improve vaginal lubrication, and treat urinary incontinence. However, not all lasers are created equal. The majority of published studies describe the data from CO2 laser therapy, Erbium laser therapy, and radiofrequency. Less is known about the new 1470 nm solid state laser. This is a retrospective study in which 16 women with vaginal dryness were treated with a 1470 nm solid state vaginal laser. All of the patients were cured of vaginal dryness with no pain, bleeding, scarring, or other side effects.
La imagen de las personas deportistas con discapacidad física en Instagram a través de la Neurocomunicación
Authors: Mañas-Viniegra Luis , Llorente-Barroso Carmen , Ferreira Ivone , Kolotouchkina Olga
Published: September 2023

Introducción: Las personas con discapacidad han sufrido históricamente el estereotipo de no cumplir con la estética dominante en términos de belleza física. El auge del movimiento de positividad corporal en redes sociales ha permitido que los deportistas con discapacidad promuevan una auto-representación basada en la discapacidad visible. Metodología: El objetivo de esta investigación es determinar la percepción cognitiva de 120 jóvenes universitarios españoles y portugueses sobre la imagen que muestran los deportistas con discapacidad física en Instagram. Se emplean dos técnicas de Neurocomunicación: el eye tracking y la respuesta galvánica de la piel (GSR). Resultados: Los deportistas captaron globalmente una mayor atención sobre los rasgos que muestran explícitamente su discapacidad con respecto a las personas con discapacidad no deportistas, quienes se auto-representaron en Instagram desde el enfoque de la belleza y la moda. Los datos de intensidad emocional corroboraron los de la atención. Discusión: Parece que los elementos explícitos de la discapacidad del deportista continúan captando la atención desde la perspectiva estereotipada de los cuerpos de los atletas. Los resultados en cuanto al enfoque de la belleza y la moda pueden contribuir a reducir el estigma de la identidad social percibido por los públicos sin discapacidad. Conclusiones: Estos resultados podrían implicar que la auto-representación basada en la belleza y moda en redes sociales capte más la atención de la audiencia al presentarse como personas con atractivo antes que como personas con discapacidad, aun cuando se muestren explícitamente esos rasgos de la discapacidad en todos los casos.
Symmetries and conservation laws of the Liouville equation
Authors: Zharinov Viktor Viktorovich
Published: September 2023

Symmetries and conservation laws of the Liouville equation are studied in the frames of the algebra-geometrical approach to partial differential equations.
Bibliography: 9 titles.
Analysing the role of a bio-surfactant extracted from Colocasia esculenta (L.) Schott on the stabilization of high concentrated iron ore slurry for transportation
Authors: Das Subrata Narayan , Biswal Susanta K. , Mohapatra Ranjan K.
Published: September 2023

ABSTRACT. The transportation of minerals/ores in form of slurry through pipelines is an alternative, effective and also eco-friendly mode of transportation. Surfactants extracted from the plant sources are gaining high interest for the formulation and stabilization of high concentrated solid-water slurries. In this work, the role of a novel bio-surfactant extracted from Colocasia esculenta (L.) Schott on the stabilisation of iron ore slurry (IOS) was studied and reported first time. The collected iron ore powder (IOP) and dried IOS samples were analysed with the help of XRF, XRD, SEM and EDS analysis. The results confirmed that the surfactant molecules (present in aqueous Colocasia esculenta (L.) Schott) coated well on iron surface and forms an effective barrier between the iron ore (IO) particles. The studied rheological parameters for the slurry indicated non-Newtonian flow behaviour.

KEY WORDS: Iron ore slurry, Colocasia esculenta (L.) Schott, XRD, SEM, rheological measurements

Bull. Chem. Soc. Ethiop. 2023, 37(6), 1459-1470. DOI: https://dx.doi.org/10.4314/bcse.v37i6.13
Non-Mycobacteria Tuberculosis in Africa: A Literature Review
Authors: Ojo O.T. , Odeyemi A.O.
Published: September 2023

Background: Non-tuberculous mycobacteria (NTM) have been reported to cause pulmonary and extrapulmonary infections. These NTMs  are often misdiagnosed as MTB due to their similar clinical presentations to tuberculosis, leading to inappropriate treatment and  increased morbidity and mortality rates. This literature review aims to provide an overview of the prevalence, clinical manifestations,  diagnosis, and management of NTM infections in Africa.

Methods: A systematic search was performed using various electronic databases including PubMed, Scopus, and Web of Science. The  search was limited to studies published in the English language from 2000 to 2021. The following keywords were used: "non-tuberculous  mycobacteria", "NTM", "Africa", and "prevalence". Studies that focused solely on the Mycobacterium tuberculosis complex or those that  did not report prevalence rates were excluded. Data extraction was performed on eligible studies. Overall, a total of 32 studies met the  inclusion criteria and were included in this review.

Results: In our literature review, we identified a total of 32 studies that reported non- tuberculosis mycobacteria (NTM) in Africa. The majority of these studies were conducted in South Africa, followed by Ethiopia and  Nigeria. The most commonly isolated NTM species were Mycobacterium avium complex (MAC), Mycobacterium fortuitum, and  Mycobacterium abscessus. Many of the studies reported a high prevalence of NTM infections among HIV-positive individuals. Other risk  factors for NTM infection included advanced age, chronic lung disease, and previous tuberculosis infection.

Conclusion: In conclusion,  this literature review highlights the significant burden of non-tuberculosis mycobacteria infections in Africa. The prevalence of these  infections is high, and they are often misdiagnosed due to their similarity to tuberculosis. The lack of awareness and diagnostic tools for  non-tuberculosis mycobacteria infections in Africa is a major concern that needs to be addressed urgently. It is crucial to improve  laboratory capacity and develop appropriate diagnostic algorithms for these infections.
Effect of ISBAR Clinical Handover Application on Nurses’ Perception of Communication and Attitudes toward Patient Safety at Emirates Maternity Hospital in Gaza Strip, Palestine
Authors: Fahajan Yousef , Albelbeisi Ali , Shnena Yasmin Abu , Emad Osama J. , Kweik Deiaa Abu , Kakemam Edris , Albelbeisi Ahmed Hassan
Published: September 2023

Background: Good communication is necessary for safety and quality of health. This study aims to determine the effect of ISBAR communication on nurses’ perception of communication and attitudes toward patient safety in the Emirates Maternity Hospital in the Gaza Strip, PalestineMethod: A single-group hospital-based intervention study (pre and posttest) was conducted. A census sample was used. Participants  opinions about the effect of ISBAR were gathered using two tools established by Shortell, Rousseau, Sexton, and Helmreich to assess the  communication awareness and nurses’ attitudes towards safety, respectively, before and after the use of the ISBAR program.Results: After the ISBAR application, nurses’ perception of communication demonstrated a positive and significant increase in the three  sub-items (openness, accuracy and understanding, and shift communication) in the nurse–nurse communication. Moreover, in four sub- items (openness, accuracy, and understanding, timeliness, and satisfaction) in nurse–doctor communication, (p ˂ 0.05). Further, the  nurses’ attitudes toward patient safety showed a significant and positive increase in teamwork climate (p˂0.001), safety climate (p =  0.007), job satisfaction and working condition (p˂0.001), stress recognition (p = 0.008), and perception of management (p = 0.001).  Conclusion: The results provide significant evidence of the positive effects of the ISBAR program in improving nurses’ perceptions of  communication and attitudes toward patient safety. It is recommended that healthcare providers use ISBAR communication in their  practice. Moreover, periodic training programs are required for effective ISBAR communication among the healthcare team.
Knowledge, Attitude and Practices of Frontline Health Care Workers to Disaster Risk Management in Private General Hospitals in Addis Ababa, Ethiopia: Multicenter Cross-Sectional Study
Authors: Getenet Bekele , Waganew Woldesenbet , Keney Desalegn , Yesuf Aman
Published: September 2023

Background: Disaster is an acute dysfunction of the existing environment that requires external assistance. Although disaster has had a  significant impact in Ethiopia, little is known about KAP of frontline HCW on disaster management in private hospitals. Therefore, this  study will be a background for future researches and disaster management plan in private health sectors. The study was conducted to  assess the knowledge, attitudes, practices and their influencing factors among frontline healthcare workers on disaster risk management  in private general hospitals in Addis Ababa.

Methods: The study design was multicenter cross-sectional survey that used  structured closed- and open-ended questions. Multi-stage sampling technique was used. The sample size was 270 with a response rate of  98.9%. The study was conducted in frontline HCW of six private general hospitals from July 20-September 30, 2022. Epi-info version 7.0  and SPSS-25 were used for data clearing and statistical analysis. Level of KAP was calculated from the participants’ scores of the  questions. Associations were done by using bivariate and multivariate logistic regression.

Results: Of the participants, 64% had poor level  of knowledge, and 89.10% had poor level of practice while 93.6% had positive attitude. Lack of previous training, inadequate level of  practice, and health experience below one year were negatively associated with good level of knowledge. Poor level of knowledge was negatively associated with good practice.

Conclusion: Although the majority of the participants had positive attitude, the mean level of  knowledge and practice were poor to properly handle disastrous events.
Management of acute Aspergillosis in newly hatched chicks: A case report.
Authors: Oladele O. O. , Ameji N. O. , Odey M. , Gurumyen G. Y. , Adanu A. W. , Bitrus A. A. , Durkwa H. U. , Anifowose O. R. , Unanam E. S.
Published: September 2023

High and early mortalities of chicks often result in colossal economic losses. Aspergillosis, a fungal infection in chicks often occurs in the first 2 weeks of life and may be misdiagnosed as a common respiratory problem like Mycoplasmosis. Some Veterinarians are of the opinion that there is no effective way of treating Aspergillosis. This clinical case report describes the management of acute aspergillosis in chicks. Necropsies were done thrice. Grossly, congested livers, hemorrhagic nephritis, and congested lungs with whitish nodules were observed. Histologically, there were numerous multinuclear giant cells, macrophages and heterophils in the liver. The lung showed fungal hyphae and inflammatory cells. In the kidney, there was severe tubular epithelial necrosis indicated by the pyknotic nuclei, mononuclear infiltrates and haemorrhages. Considering the mortality rate, necropsy findings, microbial isolation and histopathologic observations, systemic Aspergillosis was diagnosed. The secondary bacterial infection was caused by Escherichia coli which was resistant to 8 antibiotics and susceptible only to Penstrep® (Penicillin +streptomycin). Initial resistance to copper sulphate necessitated a change to Nystatin which was used for 12 days via drinking water. Cumulative mortality was 757 (34.37%) in a flock of 2,202 chicks. Better control of systemic fungal infections may be enhanced by early application of anti-fungal susceptibility test.
INTEGRASI EDUPRENEUR DALAM PELAJARAN PRAKARYA SEBAGAI MUATAN LOKAL DI SDN 1 INDRAPURI
Authors: Rahmattullah Rahmattullah , Sariakin Sariakin
Published: October 2023

Edupreneurship must be part of student education. With edupreneurship, students are expected to learn independently, provide opportunities for others to work, behave according to their abilities, and think strategically when facing problems. This study aims to look at the integration of edupreneurs in craft lessons as local content. This research method is descriptive qualitative. The principal of SDN 1 Indrapuri is the subject of the study. Observations, documentation, and interviews were used to collect data. Data analysis involves reducing, presenting, and verifying or inferring data. The results show that edupreneurship can build student character in elementary school SDN 1 Indrapuri. In edupreneurs, educational planning is carried out through subject meetings where the teacher explains learning activities.AbstractPendidikan peserta didik harus mencakup edupreneurship. Melalui edupreneurship, peserta didik dimaksudkan untuk belajar mandiri, memberikan kesempatan kepada orang lain untuk bekerja, berperilaku sesuai kompetensi, dan berpikir strategis saat menghadapi masalah. Tujuan dari penelitian ini adalah untuk memberikan gambaran tentang desain, penyampaian, dan evaluasi edupreneurship. Penelitian ini bersifat deskriptif kualitatif. Subjek partisipan penelitian  adalah Kepala Sekolah SDN 1 di Indrapuri. Pengambilan data dilakukan menggunakan wawancara, observasi, dan dokumentasi. Analisis data menggunakan reduksi data, penyajian data, dan verifikasi data atau inferensi. Temuan menunjukkan bahwa integrasi edupreneur dalam pembelajaran di sekolah dasar SDN 1 Indrapuri dapat membangun karakter peserta didik. Perencanaan pendidikan dalam edupreneur  dilakukan melalui pertemuan mata pelajaran  disaat guru menjelaskan  kegiatan pembelajaran.
The number of distinct adjacent pairs in geometrically distributed words: a probabilistic and combinatorial analysis
Authors: Louchard Guy , Schachinger Werner , Ward Mark Daniel
Published: October 2023

The analysis of strings of $n$ random variables with geometric distribution
has recently attracted renewed interest: Archibald et al. consider the number
of distinct adjacent pairs in geometrically distributed words. They obtain the
asymptotic ($n\rightarrow\infty$) mean of this number in the cases of different
and identical pairs. In this paper we are interested in all asymptotic moments
in the identical case, in the asymptotic variance in the different case and in
the asymptotic distribution in both cases. We use two approaches: the first
one, the probabilistic approach, leads to variances in both cases and to some
conjectures on all moments in the identical case and on the distribution in
both cases. The second approach, the combinatorial one, relies on multivariate
pattern matching techniques, yielding exact formulas for first and second
moments. We use such tools as Mellin transforms, Analytic Combinatorics, Markov
Chains.
Urban Imaginary: City Image and Media Space
Authors: Speshilova Elizaveta I.
Published: October 2023

The article examines the role of imagination in creating an individual and collective city image. Noting the essential value of information and digital technologies in the modern world, the author draws attention on how the city image can be represented in the media space, and reveals possible effects of the media image on the real city and urban practices. The study focuses on solving the problem of the fragmented nature of the direct city perception, aimed at certain elements of the urban environment. The author shows that the imagination allows forming an image of the city as a whole, to defragment the complex of individual perceptions and supplement them with mental, symbolic and emotional aspects. The aim of the research is to argue that by means of the Urban Imaginary we can comprehend the city as an existentially important and culturally heterogeneous space of the human lifeworld. One of the key tools for generating the Urban Imaginary and creating the city image is the media space. As a result of the study, the author substantiates the constitutive role of imagination in the process of forming the city image, as well as identifies the types of city representation in the media based on the frequency of mentions of the city and the nature of these mentions. The article demonstrates that the image of the city has a significant impact on city residents and visitors, determining the tourist, migration and economic flows.
Development of the Abnormal Tension Pattern Recognition Module for Twisted Yarn Based on Deep Learning Edge Computing
Authors: Chuan-Pin Lu  , Yan-Long Huang  , Po-Jen Lai
Published: September 2023

This study aims to develop an artificial intelligence module for recognizing abnormal tension in textile weaving, The module can be used to address the time-consuming and inaccurate issues associated with traditional manual methods. Long short-term memory (LSTM) recurrent neural networks as the algorithm for identifying different types of abnormal tension are employed in this module. This study focuses on training and validating the model using five common patterns. Additionally, an approach involving the integration of plug-in modules and edge computing in deep learning is employed to achieve the research objectives without altering the original system architecture. Multiple experiments were conducted to search for the optimal model parameters. According to the experimental results, the average recognition rate for abnormal tension is 97.12%, with an average computation time of 46.2 milliseconds per sample. The results indicate that the recognition accuracy and computation time meet the practical performance requirements of the system.