bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Factors Associated with Self-Efficacy in Helping Victims of Drowning in the Kalimas River – Indonesia
Authors: Dewi, S.Kep.Ns., M.Ng. Dr. Yulis Setiya , Wahyuni Sylvia Dwi , Prasetiyo Singgih , Alfaruq Muhammad Fikri 
Published: October 2023

Introduction: On the banks of the Kalimas River, Indonesia, drowning cases often occur because many people fish and swim in the river, especially when the munggut phenomenon occurs (fish die due to toxic factory waste being thrown into the river), but when drowning cases occur there are actually many people. feel afraid and confused about providing assistance to drowning victims. Objective of this research is to analyze what factors are related to self-efficacy in helping drowning victims based on Albert Bandura’s Theory of Self-Efficacy.

Methods: This study was a correlational descriptive research with a cross-sectional design. The population in this study were all residents of the Kalimas Riverbanks, Gresik Regency. This research involved 146 respondents who live on the river banks in Gading Village, Wates Village, and Cangki Village using a cluster sampling technique. This research variable refers to Theory of Self-Efficacy including enactive mastery, vicariously experience, verbal persuasion, physiological and emotional state and self-efficacy. Data was collected using a structured questionnaire and analyzed using a logistic regression test with a significance level of ≤ 0.05.

Results: The results of statistical tests show a significant correlation between enactive mastery (p=0.001), vicarious experience (p=0.004), and verbal persuasion (p=0.000) with self-efficacy. In contrast, physiological and emotional state did not show a significant correlation with self-efficacy.

Conclusion: The higher the level of enactive mastery, vicarious experience, and verbal persuasion, the better the self-efficacy in helping drowning victims. This provides input for health workers and local government, as well as for further research, in increasing self-efficacy and the ability of residents to help drowning victims.
O Fundeb permanente e as condicionalidades do VAAR em municípios tocantinenses
Authors: Bruno Paiva Gonçalves Ítalo , Maria Pereira de Souza Celestina , Santos Sulli Luduvice Paulo Vinícius , Santana dos Santos Jocyleia 
Published: October 2023

Este artigo tem como objetivo discutir os critérios para a escolha dos diretores escolares em onze municípios tocantinenses, a partir da Lei nº 14.113, de 25 de dezembro de 2020, que regulamenta o Fundo de Manutenção e Desenvolvimento da Educação Básica e de Valorização dos Profissionais da Educação (Fundeb) que estabelece a distribuição da complementação do Valor Aluno-Ano Resultado (VAAR) e suas condicionalidades às redes públicas de ensino. A investigação se assentou na perspectiva materialista histórico-dialética, com pesquisa documental e bibliográfica e revelou que os critérios de mérito e desempenho adotados pelos sistemas de ensino fragilizam a efetividade dos princípios da gestão democrática.
Palavras-chave: novo fundeb, valor aluno-ano resultado (VAAR), educação municipal, tocantins.

Permanent Fundeb and VAAR conditionalities in municipalities in Tocantins
ABSTRACT. This article aims to discuss the criteria for choosing school principals in eleven municipalities in Tocantins, based on Law nº 14,113, of December 25, 2020, which regulates the Fund for the Maintenance and Development of Basic Education and the Valuation of Education Professionals (Fundeb) which establishes the distribution of the Complementary Value Student Year Result (VAAR) and its conditionalities to public education networks. The investigation was based on the historical-dialectical materialist perspective, with documentary and bibliographical research and revealed that the criteria of merit and performance adopted by the education systems weaken the effectiveness of the principles of democratic management.
Keywords: new fundeb, value student year result (VAAR), municipal education, tocantins.

Condicionalidades permanentes Fundeb y VAAR en municipios de Tocantins
RESUMEN. Este artículo tiene como objetivo discutir los criterios para la elección de directores de escuela en once municipios de Tocantins, con base en la Ley nº 14.113, de 25 de diciembre de 2020, que regula el Fondo de Mantenimiento y Desarrollo de la Educación Básica y de Valoración de los Profesionales de la Educación (Fundeb) que establece la distribución del Valor Complementario del Resultado del Año Estudiantil (VAAR) y sus condicionalidades a las redes de educación pública. La investigación se basó en la perspectiva materialista histórico-dialéctica, con investigación documental y bibliográfica y reveló que los criterios de mérito y desempeño adoptados por los sistemas educativos debilitan la eficacia de los principios de la gestión democrática.
Palabras-clave: nuevo fundeb, valor del resultado del año del estudiante (VAAR), educación municipal, tocantins.
Development and optimization of PCR assay to identify fish fraud
Authors: Silva J.J. , Iamanaka B.T. 
Published: October 2023

Abstract
Fish fraud, characterized by intentional mislabeling or substitution of fish species for economic gain, poses significant risks to public health, food safety, and the integrity of the seafood industry. Effective detection methods are crucial to combat this fraudulent activity. This protocol outlines the development of a novel PCR assay, utilizing a new set of primers optimized for the precise identification of species frequently involved in frauds within the Brazilian fisheries sector, namely salmon, tilapia, and cod. The primer sets were designed based on a comprehensive dataset of mitochondrial DNA sequences, specifically the locus COX1 (cytochrome c oxidase subunit I). By implementing this robust PCR-based approach, the Brazilian fisheries sector can significantly enhance traceability and authenticity verification in their supply chain. Consumers' confidence will be safeguarded, and fair business practices can be promoted, ultimately fostering sustainability in the industry. This assay offers a practical and effective tool to tackle fish fraud and support efforts to maintain the integrity of the fisheries sector in Brazil.
Impact of Artificial Intelligence assisted Drug Therapy Optimization on Drug related problems Amongst Elderly Patients: A Systematic Review
Authors: Syed Jehath , Thomas Christy , Kaur Bavneet , Undela Krishna , Chalasani Sri Harsha , Madhan Ramesh , M Pramod Kumar T , Patil Vikram , Pereira Prathibha , J Tejeswini C , Avarebeel Shilpa , Ramesh Kshama 
Published: October 2023

Abstract
DRPs are associated with higher healthcare costs and hospital admissions, longer hospital stays, lower quality of life and higher mortality. Therefore, special considerations must be made when prescribing and using medicines in older patients, such as avoiding inappropriate medicines, monitoring side effects, avoiding drug-drug interactions, and assessing adherence and patient participation.
In recent years, there has been increasing interest in the use of clinical decision support systems to support prescribing. Computerised interventions have been reported to be more effective than traditional educational interventions delivered by prescribers or those where a pharmacist reviewed the medication. This review critically appraises studies looking at artificial intelligence-assisted optimisation of drug therapy in hospitalized elderly patients.
Following the PRISMA guidelines, we will conduct a systematic review that includes three databases: PubMed, Google Scholar and Scopus. The proposed review will include randomized, non-randomized, and cohort studies. Study types such as literature reviews, letters to the editor, pilot studies and short communications will be excluded from the review. We will summarise the available evidence on the effectiveness of computer-assisted interventions in identifying DRPs in hospitalised older patients, and the frequency, nature, and acceptance rate of computer-assisted recommendations.
Experiences of rural clinicians accessing specialist support via telehealth for trauma and emergency care in Queensland, Australia
Authors: Santomauro Chiara , McLanders Mia , Rae Andrew 
Published: October 2023

Abstract

Objective: Trauma and emergency patients presenting to rural facilities require time-critical treatment and management that is sometimes beyond the scope of clinicians in the facility. In Queensland, Australia’s second largest state, telehealth infrastructure facilitates 24/7 communication between rural clinicians and tertiary-based critical care specialists. We sought to understand the current state of Queensland’s emergency telehealth system from the perspective of direct end-users to inform future improvement efforts and resource allocation.
Methods: Semi-structured interviews were conducted with 11 rural Queensland clinicians who use telehealth to access specialist support during critical presentations. Qualitative data were analysed in three inductive phases: immersion; a combination of process coding and in vivo coding; and focused coding.
Results: The findings highlight that emergency telehealth support provides benefits beyond better patient care, as it fosters collegiality and alleviates professional isolation. Four key themes were identified: (1) Challenges of trauma and emergency care in rural Queensland; (2) Strategies for trauma and emergency care in rural Queensland; (3) Factors that affect perceptions of telehealth effectiveness; and (4) How support for rural trauma and emergency care can be improved.
Conclusions: There are both benefits and frustrations for rural clinicians accessing telehealth specialist support for critical care. Although telehealth is seen as a vital service that supports rural clinicians and benefits patient care, the findings suggest that tools, systems, and processes surrounding rural trauma and emergency care could benefit from streamlining, integration, and the introduction of fit-for-purpose technologies. Addressing limitations of efficiencies would improve support for rural clinicians and likely improve patient outcomes for rural communities.
Prevalence and factors associated with Enuresis among children with Sickle Cell Anaemia attending Sickle Cell Clinic at Mulago National Referral Hospital; A Cross sectional study.
Authors: Kuteesa Mary Goretty , Abbo Catherine , Kasirye Philip , Kaudha Gloria , Wachepa Stella , Owomugisha Gloria , Nabitaka Irene , Rujumba Joseph 
Published: October 2023

Abstract
Background:Sickle cell anaemia (SCA) can lead to complications in almost all body organs and the kidneys are frequently affected due to medullary infarction that occurs as a result of sickling events thus leading to hyposthenuria as well as renal tubular acidosis that in turn lead to enuresis. Globally the prevalence of enuresis in SCA ranges from 25% to 50.9% but the burden is not known in Uganda. We set out to determine the prevalence and factors associated with enuresis in SCA.
Methods: A cross-sectional study was conducted at the Mulago sickle cell clinic between December 2020 and January 2021. Consecutive enrolment of children aged 5-17 years confirmed to have SCA by hemoglobin electrophoresis was done. Information on prevalence and factors associated with enuresis was collected using structured questionnaires. Urinalysis and RFTs were done in those found with enuresis. Qualitative data regarding responses to enuresis was collected using in depth interviews with caregivers and children. Bivariate and Multivariate analysis using logistic regression models were utilized to determine the factors associated with enuresis. Qualitative data was analysed using content thematic approach.
Results: We enrolled 404 children aged 5- 17, half of whom (52.5%) were male. Median age (IQR) was 8(7-11). One in four children had enuresis (26.2%) (95%CI: 22.2-30.8). All had primary enuresis and 90% had monosymptomatic enuresis.
Age 5-7years aOR:2.03(95%CI:1.11-3.72) P value=0.022 and sibling history of bedwetting aOR:1.87(95%CI:1.08-3.24) P value=0.026 were significantly associated with enuresis while female gender aOR:0.58(95%CI:0.36-0.98) p value = 0.025 and fourth or higher birth order aOR:0.41(95%CI:0.22-0.78) P value= 0.007 were protective factors. Most caretakers had done nothing regarding bedwetting while others had used cultural practices and behavioral interventions but none had talked to a health worker about bedwetting and none had used enuresis alarms or medications.
Conclusion: The prevalence of enuresis in children with SCA was 26.2% which is high.
Enuresis was associated with family history of bedwetting and younger age of 5-7 years while female gender and fourth or higher birth order were protective factors. Few caregivers employed strategies that included cultural and behavioral interventions.
Geometric nonlinear effect on isolation performance for a scissor-like magnetorheological seat suspension
Authors: Li Xuan , Dong Xiaomin 
Published: October 2023

Abstract
Scissor-like seat suspensions (SL-SSs) with magnetorheological damper (MRD) has been commonly studied and applied successfully in vehicle vibration isolation. However, in most cases, modeling for scissor-like isolation structure is still inaccurate because of overlook on MRD’s layout. In this paper, effect of geometric nonlinearity by MRD’s installation position on the vibration isolation performance of a SL-SS is investigated. A dynamic parametric model of the SL-SS with six assembly types is derived considering geometric nonlinearity based on Lagrange equation. Then, the parameter analysis is performed to estimate magnetorheological damping function in SL-SS. The displacement transmissibility is solved via harmonic balance method, and its effectiveness is validated with numerical results. Finally, comparative study on displacement transmissibility for six assemble types is carried out, and metrics are introduced to access the isolation capabilities of the SL-SS. The results show that the system in type 3 has wider isolation band than other types. And the results also reveal that for type 1, 3 and 6, a minimum isolation frequency may realize, meanwhile, the maximum peak transmissibility also inevitably occurs; for type 5, increasing horizontal distance between installation points of MRD broadens isolation band, but leads to increment of peak transmissibility.
A novel method for random sequential high-capacity data hiding based on PVD and LSB
Authors: Wu Wanqing , Li Huili 
Published: October 2023

Abstract
In image information hiding, steganography capacity and image quality are the key indicators. Keeping the image intact with high embedding capacity is a major challenge in information hiding technology. This paper presents an adaptive block image steganography scheme based on pixel value difference (PVD) and least significant bit (LSB). The scheme achieves high capacity embedding while maintaining visually acceptable image quality, and the scheme is also resistant to regular and singular (RS) analysis and pixel difference histogram (PDH) analysis. The details are as follows: Firstly, the image is divided into 2$\times$2 non-overlapping blocks, and a random sequence of integers 1-4 is generated by chaotic mapping as the embedding order. The first pixel in the embedding order is selected as the reference pixel for LSB embedding. Secondly, the difference between the remaining pixels in the block and the reference pixel is calculated, and the embedded bit is determined according to the range where the difference is located. The mixed method of PVD and LSB is utilized to embed the remaining pixels. Finally, the embedded pixels are adjusted to ensure that the differences before and after embedding are in the same range. Experimental results show that the scheme can achieve an average embedding capacity of 930,312 bits, with an average embedding bits per pixel of 3.55 and a peak signal to noise ratio (PSNR) of 35.51 dB. The comparison with other hiding schemes shows that it has a larger hiding capacity than other schemes while maintaining good visual quality.
Certified coordinate selection for high-dimensional Bayesian inversion with Laplace prior
Authors: Flock Rafael , Dong Yiqiu , Uribe Felipe , Zahm Olivier 
Published: October 2023

Abstract

We consider high-dimensional Bayesian inverse problems with arbitrary likelihood and product-form Laplace prior for which we provide a certified approximation of the posterior density in the Hellinger distance. The approximate posterior density differs from the prior density only in a small number of relevant coordinates that contribute the most to the update from the prior to the posterior. We propose and analyze a gradient-based diagnostic to identify these relevant coordinates.

Although this diagnostic requires computing an expectation with respect to the posterior, we propose tractable methods for the classical case of a linear forward model with Gaussian likelihood. Our methods can be employed to estimate the diagnostic before solving the Bayesian inverse problem via, e.g., Markov chain Monte Carlo (MCMC) methods. After selecting the coordinates, the approximate posterior density can be efficiently inferred since most of its coordinates are only informed by the prior. Moreover, specialized MCMC methods, such as the pseudo-marginal MCMC algorithm, can be used to obtain less correlated samples when sampling the exact posterior density.

We show the applicability of our method using a 1D signal deblurring problem and a high-dimensional 2D super-resolution problem.
Hybrid polypropylene biocomposites reinforced with short man-made cellulose fibres and softwood flour - optimisation of properties using Response Surface Methodology
Authors: Franciszczak Piotr , Kovalovs Andrejs 
Published: October 2023

Abstract

Wood-plastic composites and composites reinforced with natural and man-made cellulose fibres are being extensively used in automotive and building industries. The main shortcoming of the former is their low impact resistance and brittleness. The relatively high cost of natural and cellulose fibres is the limitation of the latter. This research uses a hybrid combination of wood flour and short man-made cellulose fibres to develop PP composites for injection moulding that excel in mechanical characteristics and have low material cost. Both reinforcements are of wood origin. The synergistic hybrid effect of this combination of reinforcements helps to achieve their mechanical performance superior to that of WPCs at preserved low cost. The proposed Response Surface Methodology enables to calculate necessary weight fractions of two reinforcements to achieve desired mechanical properties like strength, Young’s modulus and impact resistance at adopted material cost.
Permutation invariant matrix statistics and computational language tasks
Authors: Accettulli Manuel Huber , Correia Adriana , Ramgoolam Sanjaye , Sadrzadeh Mehrnoosh 
Published: October 2023

Abstract

The Linguistic Matrix Theory (LMT) programme introduced by Kartsaklis, Ramgoolam and Sadrzadeh is an approach to the statistics of matrices generated and used in the fields of Computational Linguistics and Natural Language Processing. These matrices provide semantic representations for words and phrases of natural language. LMT is based on permutation invariant polynomial functions of matrices, which are regarded as the key observables encoding the significant statistics. In this paper, we generalize the previous results on the approximate Gaussianity of matrix distributions arising from a compositional distributional approach to natural language semantics. We also introduce two geometries of observable vectors for words, defined by exploiting the graph-theoretic basis for the permutation invariants and the statistical characteristics of the ensemble of matrices associated with the words. We describe successful applications of this unified framework to four tasks in semantic relation identification: synonym versus antonym distinction, a three-way classification of synonym pairs, antonym pairs and no-relation pairs, distinction between hypernym/hyponym pairs and co-hyponym pairs, and the distinction between a hypernym and co-hyponym within a pair.
Early Sertoli cell gene expression regulates pathogenesis in response to Ebola virus
Authors: Webb Andrew L. , Schindell Brayden G. , Soule Geoff , Siddik Abu B. , Abrenica Bernard , Memon Harram , Su Ruey-Chyi , Safronetz David , Kindrachuk Jason 
Published: October 2023

Abstract

Ebola virus (EBOV) persists and actively replicates in the reproductive tract of up to 50% of male disease survivors six month after infection1. Persistent EBOV infections are usually asymptomatic and can be transmitted sexually, but the host and viral factors that mediate these infections have not been characterized2,3. We assessed viral replication kinetics and host responses of mouse testicular Leydig and Sertoli cells infected with wild-type EBOV Makona (wtEBOV) and collected samples up to 28 days post-infection. While maximum EBOV viral load was similar in both cell types, viral transcription and replication was delayed in Sertoli cells compared to Leydig cells. Using RNAseq analysis, we found that Sertoli cells responded to wtEBOV infection more rapidly and robustly than did Leydig cells, and that early differential gene expression was primarily associated with membrane function and cell cycle activity. Experiments conducted with an EBOV virus-like particle model (vlpEBOV) indicated that differences in Leydig and Sertoli cell response occurred less than one-hour post-treatment, and evidence indicated that Sertoli cells limit early EBOV entry and/or transcription. Based on our analysis, we discuss how the roles played by Sertoli cells in immune privilege and spermatogenesis may affect their initial and continued response to EBOV infection and facilitate asymptomatic persistence.
Evaluating the Effectiveness of Machine Learning in Identifying the Optimal Facial Electromyography Location for Emotion Detection
Authors: Kumar Barigala Vinay , PJ Swarubini , P Sriram Kumar , Ganapathy Nagarajan , PA Karthik , Ronickom Jac Fredo Agastinose 
Published: October 2023

Abstract
Introduction: Emotional state recognition is crucial for identifying emotions and providing valuable insights into detecting prolonged stress or negative emotions in individuals. In this study, we explore the feasibility of utilizing facial electromyography (fEMG) signals to accurately recognize the emotions and determine the optimal recording location.
Materials and methods: To investigate various emotions, we used the continuously annotated signals of emotion dataset, consisting of fEMG signals captured from three distinct muscle locations: zygomaticus major (zEMG), corrugator supercilii (cEMG), and trapezius (tEMG). These fEMG signals underwent analysis through feature extraction in the time, frequency, and time-frequency domains. We identified the optimal muscle location for recognizing emotions using different machine learning models, such as logistic regression (LR), support vector machine, and random forest (RF), and validated the results using a 10-fold cross-validation approach. Additionally, we identified the most influential features for distinguishing between the emotions using the RF feature ranking method.
Results: Our findings showed that we attained the highest average accuracy of 74.79% for emotion classification by utilizing 31 top-ranked features from the time, frequency, and time-frequency domains of three fEMG signals (zEMG, cEMG, and tEMG) with the RF classifier. Moreover, we achieved an average accuracy of 74.17% by utilizing the top 10 time-domain features extracted from the zEMG signals with the LR classifier. In summary, this study demonstrates promising outcomes in utilizing fEMG signals for efficient emotion recognition and presents an innovative approach to the field of affective computing.