bluuebunny/crossref_metadata_2025 huggingface dataset:
EXPLORANDO NOVAS PERSPECTIVAS DA EDUCAÇÃO EM SEXUALIDADE: UMA EXPERIÊNCIA DE FORMAÇÃO
Authors: LIMA Uanderson da Silva , HATTGE Morgana Domênica
Published: May 2024

A sexualidade é uma característica única de cada indivíduo, abrangendo aspectos relacionados ao pensar, sentir, comportar-se e viver, sendo expressa de maneiras diversas por cada pessoa. Nesse contexto, o presente ensaio tem como objetivo refletir sobre os significados atribuídos pelas educadoras das escolas do Campo do polo do CEFAPRO de Alta Floresta à sexualidade e à Educação em Sexualidade. Este trabalho fundamenta-se em autores como Nunes e Silva (2006), Maia e Ribeiro (2011), Cardoso e Brito (2012), Louro (2012), Ribeiro (2013) e Unesco (2014). Para essa análise, foram consideradas as informações obtidas por meio de um questionário aplicado a cinco educadoras que participaram da oficina "Educação em Sexualidade: tópicos e objetivos de aprendizagem". As perguntas do questionário eram abertas, permitindo uma visão ampla das percepções e experiências das profissionais. A partir das respostas e das discussões ocorridas durante a oficina, percebeu-se que ainda existem lacunas na formação desses profissionais em relação ao tema, o que muitas vezes resulta em abordagens limitadas e excessivamente biologizantes. Para promover uma formação mais abrangente e integral das crianças e adolescentes, é essencial que toda a comunidade escolar participe da elaboração e execução de projetos interdisciplinares voltados para o estudo da sexualidade. Além disso, é fundamental buscar parcerias com profissionais da saúde física e mental, visando desenvolver o senso crítico dos participantes e promover uma abordagem mais inclusiva e informada sobre o tema.
EDUCAÇÃO DE JOVENS E ADULTOS: UMA EXPERIÊNCIA DE FORMAÇÃO
Authors: Santos Cleide Pereira dos , Lima Jaqueline Dias , Santos Mateus Pereira dos , Ruas Aline Maria Gonzaga , Lopes Gabrielle Ferreira Silva , Finelli Leonardo Augusto Couto
Published: May 2024

Este trabalho consiste na experiência vivenciada durante a disciplina de Estágio Curricular Supervisionado, desenvolvido no curso de Licenciatura em Pedagogia de uma universidade pública do norte de Minas Gerais. Tal foi realizado com turmas noturna da Educação de Jovens e Adultos – EJA, em uma escola municipal da cidade de Almenara-MG. Diante das observações nas salas de aulas, levantou-se o seguinte questionamento: O que fazer para contribuir no processo de aprendizagem dos alunos? Assim avançamos com o objetivo de identificar e compreender as habilidades, talentos e interesses individuais dos participantes, de modo a promover atividades práticas e reflexivas que favoreçam o autoconhecimento e a descoberta de potenciais profissionais. Metodologicamente tratou-se de pesquisa etnográfica que se valeu de aplicação dos princípios da andragogia para a execução da prática de ensino. Este estudo evidenciou que pensar educação para adolescentes, jovens, adultos e idosos, requer romper com muitos estigmas, paradigmas e estereótipos cristalizados ao longo do tempo. Reconhecemos que as tentativas de educar ao grupo por meio do ensino tradicional com a utilização de material didático do ensino fundamental comprometeram, sobremaneira, o avanço no aprendizado. É importante compreender que o ambiente de ensino da EJA é marcado pela diversidade e interação entre diferentes grupos etários, o que permite diálogo entre os diversos saberes construídos por meio das vivências e experiências. Tais são reconhecidos, e, tomados como base da andragogia, para o desenvolvimento da didática de ensino dessas pessoas que buscam o aprendizado do básico (ensino fundamental) mas já dispõem de uma série de experiências prévias. Por conclusão, destacamos que as formas de ensinar da andragogia se valem da ludicidade, e não da infantilização (como os materiais prévios usados em tal ensino) que se revelou como uma ferramenta valiosa para superar a falta de motivação para o estudo desses alunos.
IMPLEMENTATION OF A BASE OF RULES FOR DIFFERENTIAL DIAGNOSIS OF CLINICAL AND HEMATOLOGICAL SYNDROMES BASED ON MORPHOLOGICAL CLASSIFICATION ALGORITHM
Authors: Uvaliуeva Indira , Ismukhamedova Aigerim , Belginova Saule , Shaikhanova Aigul
Published: May 2024

The evolving landscape of modern medicine underscores the growing importance of automating diagnostic processes. This advancement is not merely a convenience but a necessity to harness the full potential of technological progress, aiming to elevate research and clinical outcomes to new heights. Among the innovative strides in this field, the development of diagnostic systems based on morphological classification algorithms stands out. Such systems, rooted in comprehensive rule bases for differential diagnosis, promise to revolutionize the way we approach complex medical conditions. This paper introduces a cutting-edge system that epitomizes this evolution. Designed to harness the power of data analysis, it paves the way for groundbreaking research opportunities. At the heart of this system is a sophisticated set of rules derived from a morphological classification algorithm. This foundation enables the system to perform automated diagnoses of a wide array of clinical and hematological syndromes with unprecedented accuracy. A notable application of this technology is its ability to diagnose anemia by analyzing six distinct blood parameters and further categorize the anemia type based on biochemical criteria. The implications of such diagnostic capabilities are profound. By enabling the systematic collection and analysis of statistical data, the system facilitates in-depth research into the prevalence of diseases across different demographic groups. It aids in identifying disease patterns and supports preventive medicine efforts, potentially shifting the paradigm from treatment to prevention. This study not only highlights the system's capacity for enhancing diagnostic precision but also emphasizes its role as a catalyst for medical research and the improvement of healthcare delivery. The integration of such technologies into the medical field promises to enhance the quality of care, streamline diagnostic processes, and open new avenues for medical research, ultimately contributing to the advancement of global health standards.
A szervezett bűnözés hatása a rendvédelmi szervek fejlődésére
Authors: Csizner Zoltán
Published: May 2024

Many studies and dissertations have been written on the questions where organized crime was started, what it means, and how and into what it has evolved. Just as much has been already dealt with the question how the law enforcement agencies have evolved, what typical stages have appeared during their operation. However, it is less clear how these two things interact or were interrelated, and more specifically, how organized crime and its development on has impacted law enforcement agencies, what organizational changes have been generated by a particular crime or a new offense method. In this dissertation, after defining the concept and characteristics of the organized crime, this time I would like to present the events and circumstances that determined its development and changes in Hungary, as well as what temporary or permanent organizations were fighting against these phenomena. Finally, besides the organizational effects, I present the training opportunities that contributed to the effectiveness of law enforcement.
Innovatív sportrendészeti eszközök
Authors: Tóth Nikolett Ágnes
Published: May 2024

The aim of the study is to present legal innovation, the police forces and the innovative technical and technological solutions, resp. the relationship between them, which are of utmost importance in sports policing work.
The Darwinian Theory of Evolution and Creation Account of Genesis: Contradiction or Complementary?
Authors: Boaheng Isaac
Published: May 2024

The question of the origin of humans has been fiercely contested for a long period. One perspective is the creation model, which asserts that the Universe and all its components emerged through the deliberate actions of God, driven by design and purpose. Conversely, the evolution model posits that the Universe’s formation occurred solely through mechanistic processes, devoid of any supernatural intervention. Narrowing the scope to humanity, the evolution model contends for the gradual evolution of the human species through a process of descent with modification from an ancestor shared with apes, while the creation model proposes the direct creation of humankind by God in his image. Certainly, the implications either model has on human dignity are very important for human existence. Whether God created humankind directly or through evolution from an ape-like ancestor has a bearing on human dignity. It raises, for example, the question as to whose image humanity bears: God’s or apes’? The way one answers this question will definitely affect his or her human-divine and human-human relationships. A literary research approach was used to gather data from books, articles, and dissertations. The data were critically examined to consider the arguments for either side of the debate. It was found out that both biblical and scientific data may allow for variations within a particular species (microevolution) but not the production of one species from another (macroevolution). The findings suggest that the creation model must be accepted with its attendant implications for human dignity.

Keywords: Evolution, Creation, Human Dignity, Origin
Assessing the Role of Parents in Ensuring Child Welfare: Integration of Basic Needs, Education, and Christian Family Values in Indonesia
Authors: Boiliu Noh Ibrahim , Triposa Reni
Published: May 2024

The perception that having children is an honor and aspiration illustrates the importance of genealogical elements within the family. This concept is linked to the belief that children, especially sons, are a gift and blessing from God. The child’s name is considered significant, often theophoric, reflecting the parents’ hopes, beliefs, and faith in God. In daily life, children play a crucial role in continuing the lineage, engaging in family work, and assisting in strengthening family authority and local governance. Education is imparted within the family, with the mother taking on the role of providing moral instruction, and the father providing religious and practical life teachings. Young girls are taught about their roles as wives and household managers. This research, therefore, aimed to explore the role of parents in ensuring the well-being of children. Based on the research findings, respondents acknowledged the crucial role of parents in ensuring the basic needs of children, shaping family culture, managing roles and responsibilities, preventing conflicts, and educating children about important social and cultural values. Open communication and a holistic approach, including religious values, were recognized as essential elements in the development of a healthy family. Based on this research, the researcher recommends developing and implementing educational programs for parents focusing on their crucial role in meeting the basic needs of children, shaping family culture, addressing roles and responsibilities, preventing conflicts, and imparting important social and cultural values to their children, encourage collaboration between churches, educational institutions, and government agencies to provide educational support and resources to Christian families.

Keywords: Role of Parents, Child Welfare, Basic Needs, Education, Christian Family Values
Notes on morphological characteristics and life history strategy of the genus Acanthopsis Harv. (Acanthaceae)
Authors: Steyn Hester , Van Wyk A.E.
Published: May 2024

Background: Morphological characteristics and life history strategies are vital in the success of plants to inhabit specific areas. Until recently the genus Acanthopsis was taxonomically poorly understood, and a recent revision rectified this aspect. The group comprises 20 species, all confined to arid parts of South Africa and Namibia. Much regarding the life history and ecology of the genus was still unknown.
Objectives: Members of the genus Acanthopsis adapted to harsh environmental conditions have evolved an array of functional traits to enhance their chances of survival. The present contribution focuses on a select few of these traits, with discussion centred around them.
Methods: This paper gives an overview of some casual and anecdotal observations made on the morphological characteristics and life history strategy during the taxonomic study.
Results: Significant adaptations include a perennial subshrub habit, spinous inflorescences/infructescences, and flowers exhibiting the classical syndrome for insect pollination, likely by insects possessing elongated proboscises. Additionally, the seeds are myxospermous and undergo dispersal solely when there is an ample supply of water for germination. Noteworthy is the prompt germination of seeds, occurring within 24 h.
Conclusion: Certain observations may potentially serve as catalysts for further, more in-depth investigations into the ecological significance of specific morphological traits and how the species might respond to anticipated future changes in temperature and precipitation.
COMPREHENSIVE REVIEW OF INNOVATION IN PISTON ENGINE AND LOW TEMPERATURE COMBUSTION TECHNOLOGIES
Authors: Allmägi Roland , Ilves Risto , Olt Jüri
Published: May 2024

Global transport today is mainly powered by the Internal Combustion Engine (ICE) and throughout its century and a half of development it has become considerably more efficient and cleaner. Future prospects of the ICE rely on the scientific work conducted today to keep this trend of higher efficiency and cleaner emissions in new engines going. The aim of this article is to give a comprehensive review of development directions in novel piston engine designs, which seek to overcome the drawbacks of the ubiquitous 4-stroke piston engine. One of the directions of development is devoted to improving the mechanisms and the general layout of the piston engine to reduce losses within the engine. Research teams working with alternative engine work cycles like the 5- and 6-stroke engine and technologies for extracting waste heat seek to reduce thermal losses while novel layouts of valve trains and crank assemblies claim to significantly improve the mechanical and Volumetric Efficiency (VE) of piston engines. These novel ideas include camless or Variable Valve Action (VVA) and engines with Variable Compression Ratio (VCR) or opposed pistons. One alternative approach could also be to totally redesign the reciprocating mechanism by replacing the piston with some other device or mechanism. Additional scientific work is investigating Low Temperature Combustion (LTC) technologies such as Turbulent Jet Ignition (TJI) and Homogeneous Charge Compression Ignition (HCCI) and its derivatives like Premixed Charge Compression Ignition (PCCI) and Reactivity Controlled Compression Ignition (RCCI) that have shown improvements in thermal and fuel conversion efficiency while also significantly reducing harmful emissions. These combustion strategies also open the path to alternative fuels. The contemporary work in the combustion engine fields of research entail technical solutions from the past that have received a modern approach or are a completely novel idea. Nonetheless, all research teams work with the common goal to make the piston engine a highly efficient and environmentally friendly device that will continue to power our transport and industry for years to come. For this, solutions must be found to overcome the mechanical limitations of the traditional layout of the piston engine. Similarly various improvements in combustion technology are needed that implement state of the art technology to improve combustion characteristics and reduce harmful emissions.
A MeerKAT Polarization Survey of Southern Calibration Sources
Authors: Taylor A. R. , Legodi L. S.
Published: May 2024

We report on full-Stokes L-band observations of 98 MeerKAT calibration sources. Linear polarization is detected in 71 objects above a fractional level of 0.2%. We identify ten sources with strong fractional linear polarization and low Faraday rotation measure that could be suitable for wide-band absolute polarization calibration. We detect significant circular polarization from 24% of the sample down to a detection level of 0.07%. Circularly polarized emission is seen only for flat spectrum sources α > −0.5. We compare our polarized intensities and Faraday synthesis results to data from the NVSS at 1400 MHz and the ATCA SPASS survey at 2300 MHz. NVSS data exist for 54 of our sources and SPASS data for 20 sources. The percent polarization and rotation measures from both surveys agree well with our results. The residual instrumental linear polarization for these observations is measured at 0.16%, and the residual instrumental circular polarization is measured at 0.05%. These levels may reflect either instabilities in the relative bandpass between the two polarization channels with either time or antenna orientation, or atmospheric/ionospheric variations with pointing direction. Tracking of the hourly gain solutions on J0408-6545 after transfer of the primary gain solutions suggests a deterioration of the gain stability by a factor of several starting about 2 hr after sunrise. This suggests that observing during the nighttime could dramatically improve the precision of polarization calibration.
The Lorentz Force at Work: Multiphase Magnetohydrodynamics throughout a Flare Lifespan
Authors: Ruan Wenzhi , Keppens Rony , Yan Limei , Antolin Patrick
Published: May 2024

The hour-long, gradual phase of solar flares is well observed across the electromagnetic spectrum, demonstrating many multiphase aspects, where cold condensations form within the heated post-flare system, but a complete 3D model is lacking. Using a state-of-the-art 3D magnetohydrodynamic simulation, we identify the key role played by the Lorentz force through the entire flare lifespan, and show that slow variations in the post-flare magnetic field achieve the bulk of the energy release. Synthetic images in multiple passbands closely match flare observations, and we quantify the role of conductive, radiative, and Lorentz force work contributions from flare onset to decay. This highlights how the non-force-free nature of the magnetic topology is crucial to trigger Rayleigh–Taylor dynamics, observed as waving coronal rays in extreme ultraviolet observations. Our C-class solar flare reproduces multiphase aspects such as post-flare coronal rain. In agreement with observations, we find strands of cooler plasma forming spontaneously by catastrophic cooling, leading to cool plasma draining down the post-flare loops. As there is force balance between magnetic pressure and tension and the plasma pressure in gradual-phase flare loops, this has potential for coronal seismology to decipher the magnetic field strength variation from observations.
An Eccentric Planet Orbiting the Polar V808 Aurigae
Authors: Leichty McKenna , Garnavich Peter , Littlefield Colin , Schwope Axel , Kurpas Jan , Mason Paul A. , Beuermann Klaus
Published: May 2024

We analyze 15 yr of eclipse timings of the polar V808 Aur. The rapid ingress/egress of the white dwarf and bright accretion region provide timings as precise as a few tenths of a second for rapid cadence photometric data. We find that between 2015 and 2018, the eclipse timings deviated from a linear ephemeris by more than 30 s. The rapid timing change is consistent with the periastron passage of a planet in an eccentric orbit about the polar. The best-fit orbital period is 11 ± 1 yr and we estimate a projected mass of

M
sin
(
i
)
=
6.8
±
0.7

Jupiter masses. We also show that the eclipse timings are correlated with the brightness of the polar with a slope of 1.1 s mag−1. This is likely due to the change in the geometry of the accretion curtains as a function of the mass transfer rate in the polar. While an eccentric planet offers an excellent explanation to the available eclipse data for V808 Aur, proposed planetary systems in other eclipsing polars have often struggled to accurately predict future eclipse timings.
Laser Irradiation of Carbonaceous Chondrite Simulants: Space-weathering Implications for C-complex Asteroids
Authors: López-Oquendo Andy J. , Loeffler Mark J. , Trilling David E.
Published: May 2024

Surfaces of carbonaceous asteroids (C-complex) have shown diverse, contrasting spectral variations, which may be related to space weathering. We performed laser irradiation experiments on CI and CM simulant material under vacuum to mimic the spectral alteration induced by micrometeorite impacts. We used in situ ultraviolet-visible and near-infrared reflectance spectroscopy to analyze spectral alterations in response to pulsed laser irradiation, as well as scanning electron microscopy and X-ray photoelectron spectroscopy to search for microstructural and compositional changes. Laser irradiation causes an increase in spectral slope (reddening) and a decrease in the albedo (darkening), and these changes are stronger in the ultraviolet-visible region. These spectral changes are likely driven by the excess iron found in the altered surface region although other factors, such as the observed structural changes, may also contribute. Additionally, while the 0.27 μm band appears relatively stable under laser irradiation, a broad feature at 0.6 μm rapidly disappears with laser irradiation, suggesting that space weathering may inhibit the detection of any feature in this spectral region, including the 0.7 μm band, which has typically been used an indicator of hydration. Comparing our laboratory results with optical spectrophotometry observations of C-complex asteroids, we find that the majority of objects are spectrally red and possess colors that are similar to our irradiated material rather than our fresh samples. Furthermore, we also find that “younger” and “older” C-complex families have similar colors, suggesting that the space-weathering process is near equal or faster than the time it takes to refresh the surfaces of these airless bodies.
The hidden side of the intrapopulation level in biological invasions
Authors: Sousa Ronaldo , Alves Henrique , Gonçalves Diana , Padilha Janeide , Teixeira Amílcar
Published: May 2024

Individual variation assessments are essential to better understand population and community dynamics, and ecosystem functioning. Although researchers have long recognized this aspect only recently has evidence accumulated about the ecological importance of variation within species. The incorporation of individual variation provides a more complete description of the effects a species may have on ecosystems and this detailed ecological knowledge can be especially important in the context of biological invasions. In this study, we used an invasion gradient of the signal crayfish Pacifastacus leniusculus to assess possible intrapopulation differences in key biological traits and evaluate possible changes in ecological impacts. For this, we collect individuals from the core and front of an invasion gradient to characterize several biological traits such as abundance, size, sex-ratio, physiological condition, personality, and trophic niche. In addition, we perform two laboratory experiments to assess possible differences regarding the consumption of prey, leaf mass loss, and nutrient cycling. Crayfish from the invasion front are predominantly male and display lower abundance. However, they are larger, exhibit superior physiological condition, demonstrate increased boldness and aggression, and have elevated nitrogen values. In addition, crayfish from the front consume more prey and more leafs and increase the concentration of nitrates and phosphates. Overall, the signal crayfish has different biological traits and has distinct ecological impacts along the invasion gradient. This study demonstrates the importance of assessing biological traits and impacts of invasive species at the intrapopulation level. Such an approach could improve and refine impact assessments with potential pay-offs in the development of more effective conservation and management strategies.
Comparative geometric morphometrics of male genitalia in Xiphocentron subgenera (Trichoptera: Xiphocentronidae): new species, revision and phylogenetic systematics of the subgenus Sphagocentron
Authors: Vilarino Albane , Calor Adolfo R.
Published: May 2024

Geometric morphometric statistics have been employed to reduce the subjectivity of visual evaluations in taxonomy. Taxonomy in most insect groups relies strongly on male genitalia morphology which is often the structure with most data available, which is also true to caddisfly taxonomy. Here we revise the caddisfly subgenus Xiphocentron (Sphagocentron) adding five new species after 40 years: X. dactylumsp. nov., X. eurybrachiumsp. nov., X. tapantisp. nov., and X. tuxtlasp. nov.Additionally, we describe a new X. (Antillotrichia): X. drepanumsp. nov. from French Guiana and provide new species records of Xiphocentronidae from Bolivia, Costa Rica and Ecuador. We performed exploratory geometric morphometric analysis on the male genitalia’s preanal appendage to characterize the shape differences among the species, and to investigate its utility to classify species to subgenera. In order to infer species relationship and assess if shape congruences are due to phylogenetic signal or convergence data from 100 landmarks and semilandmarks, and 30 discrete characters were used to generate a phylogenetic hypothesis. The morphometry partially supports the subgenera delimitations, but the Antillotrichia subgenus greatly overlapped with other subgenera. The discriminant analysis overall classification correctness was 64%. Some suggested phenotypic groups were due to convergence. According to the preanal appendage morphometry, X. (Antillotrichia) fuscum is a Sphagocentron species. The phylogenetic analysis recovered Sphagocentron as monophyletic, but not Antillotrichia. Sphagocentron subgenus was placed within a clade of several Antillotrichia species, with X. (A.) fuscum as the sister of the other Sphagocentron species, although support values were low.
Two new species of Striglina Guenée, 1877 (Lepidoptera, Thyrididae) from China
Authors: Chen Feiran , Zhang Yulong , Wang Min
Published: May 2024

The genus Striglina is the most species-rich genus in the subfamily Striglininae, which includes about 80 species and subspecies and it has always been a popular research taxon within Thyrididae.

Two new species of the genus Striglina Guenée, 1877, S. whalleyi sp. nov. and S. pararubricans sp. nov. from China are described and illustrated. Striglina whalleyi sp. nov. is similar to S. irresecta obscura Whalley, 1976, but its wing ground colour is lighter and the sacculus process is shorter. Striglina pararubricans sp. nov. is similar to S. rubricans, but the fore-wing is narrower, the uncus processes and sacculus process are longer. Holotypes are deposited in the Department of Entomology, College of Plant Protection, South China Agricultural University, Guangzhou.
Assessment of salt tolerance in Algerian oasis wheat landraces: An examination of biochemical, physiological, and agronomical traits
Authors: Toka Hadji , Mouad Boulacel , Kebaili Fethi Farouk , Maroua Hadji , Awatef Ghennai , Hamdi Bendif
Published: May 2024

Wheat landraces cultivated in the oases of Algeria are are know for their resistance to abiotic stresses as a result of the extreme environmental constraints of the Sahara. As such, these landraces represent valuable breeding material for improving abiotic stress tolerance in wheat. This study was conducted to evaluate salt tolerance of bread and durum wheat from the Algerian oases. Ten wheat landraces from the Algerian oases were grown under prolonged salinity stress (150 mM NaCl) in greenhouse conditions. Data were assessed for 19 physiological, biochemical, and agronomical traits. The wheat landraces exhibited considerable variation in their salinity stress tolerance. The membership function value of salt tolerance identified Oum RokbaElhamra, Khellouf and Zeghlou as the most tolerant landraces while Bourione was identified as sensitive. The salt-tolerant and moderately tolerant wheat landraces maintained stable yields under conditions of salinity stress. Regression models constructed from MFVS and salt tolerance coefficients showed that for bread wheat, amino acid content and grain yield accounted for most of the variation in MFVS, while for durum wheat, the number of grains per plant and Na+ content explained the majority of observed differences in MFVS. Correlation analysis showed that the MFVS was significantly associated with grain yield, selectivity between K+ and Na+, and plant height. The results confirm that Algerian oasis wheat landraces are a valuable source given their salt tolerance and could be utilized in breeding programs seeking to improve salinity stress resilience in wheat.
Geomatics, soft computing, and innovative simulator: prediction of susceptibility to landslide risk
Authors: Barrile Vincenzo , Genovese Emanuela , Cotroneo Francesco
Published: May 2024

Landslides represent a growing threat among the various morphological processes that cause damage to territories. To address this problem and prevent the associated risks, it is essential to quickly find adequate methodologies capable of predicting these phenomena in advance. The following study focuses on the implementation of an experimental WebGIS infrastructure designed and built to predict the susceptibility index of a specific presumably at-risk area in real time (using specific input data) and in response to extreme weather events (such as heavy rain). The climate data values are calculated through an innovative and experimental atmospheric simulator developed by the authors, which is capable of providing data on meteorological variables with high spatial precision. To this end, the terrain is represented through cellular automata, implementing a suitable neural network useful for producing the desired output. The effectiveness of this methodology was tested on two debris flow events that occurred in the Calabria region, specifically in the province of Reggio Calabria, in 2001 and 2005, which caused extensive damage. The (forecast) results obtained with the proposed methodology were compared with the (known) historical data, confirming the effectiveness of the method in predicting (and therefore signaling the possibility of an imminent landslide event) a higher susceptibility index than the known one and one provided (to date) by the Higher Institute for Environmental Protection and Research (ISPRA), validating the result obtained through the actual subsequent occurrence of a landslide event in the area under investigation. Therefore, the method proposed today is not aimed at predicting the local movement of a small landslide area, but is primarily aimed at predicting the change or improving the variation of the landslide susceptibility index to compare the predicted value with the current one provided by the relevant bodies (ISPRA), thus signaling an alert for the entire area under investigation.
Recent advances in peridynamic theory: A review
Authors: Oterkus Erkan , Oterkus Selda
Published: May 2024

Peridynamics is a new approach to continuum mechanics. There has been rapid progress in peridynamics research, especially in recent years. In this review study, recent advances in peridynamics research were summarised. A large number of studies were considered and classified into different categories ranging from additive manufacturing, artificial intelligence and machine learning, composite materials, fatigue, functionally graded materials, impact, reduced order modelling, structural health monitoring, topology optimisation, and many more. Finally, some future directions were highlighted.
The analysis of fractional neutral stochastic differential equations in  space
Authors: Albalawi Wedad , Liaqat Muhammad Imran , Din Fahim Ud , Nisar Kottakkaran Sooppy , Abdel-Aty Abdel-Haleem
Published: May 2024

After extensive examination, scholars have determined that many dynamic systems exhibit intricate connections not only with their current and past states but also with the delay function itself. As a result, their focus shifts towards fractional neutral stochastic differential equations, which find applications in diverse fields such as biology, physics, signal processing, economics, and others. The fundamental principles of existence and uniqueness of solutions to differential equations, which guarantee the presence of a solution and its uniqueness for a specified equation, are pivotal in both the mathematical and physical realms. A crucial approach for analyzing complex systems of differential equations is the utilization of the averaging principle, which simplifies problems by approximating existing ones. Applying contraction mapping principles, we present results concerning the concepts of existence and uniqueness for the solutions of fractional neutral stochastic differential equations. Additionally, we present Ulam-type stability and the averaging principle results within the framework of  space. This exploration involved the utilization of Jensen's, Gröenwall-Bellman's, Hölder's, Burkholder-Davis-Gundy's inequalities, and the interval translation technique. Our findings are established within the context of the conformable fractional derivative, and we provide several examples to aid in comprehending the theoretical outcomes.
A Lyapunov-Sylvester numerical method for solving a reverse osmosis model
Authors: Helali Saloua , Ben Mabrouk Anouar , Rashad Mohamed , Ali Nizar Bel Hadj , Ȧlanazi Munirah A. , Alsharif Marwah A. , Al-Ali Elham M. , Alharbi Lubna A. , Mustafa Manahil S.
Published: May 2024

Clean water is a necessity for many organisms, especially human life. Due to many factors, there is a significant shortage of potable water. This has led to efforts involving recovering water from wastewater or the sea through different technologies. Recently, the desalination of seawater via the reverse osmosis system has shown to be a promising method for drinking water treatment and recovery. Such a technique relies on mathematical models based on many parameters, resulting in special PDEs to model the reverse osmosis system. This paper develops a numerical method to solve a reverse osmosis model. The governing PDE is converted into a Sylvester equation that is proved to be uniquely solvable, stable, consistent, and convergent. The numerical scheme developed is validated with experimental data from the literature, and some numerical simulations.
Modeling of extended osprey optimization algorithm with Bayesian neural network: An application on Fintech to predict financial crisis
Authors: Abdullayev Ilyos , Akhmetshin Elvir , Kosorukova Irina , Klochko Elena , Cho Woong , Joshi Gyanendra Prasad
Published: May 2024

Accurately predicting and anticipating financial crises becomes of paramount importance in the rapidly evolving landscape of financial technology (Fintech). There is an increasing reliance on predictive modeling and advanced analytics techniques to predict possible crises and alleviate the effects of Fintech innovations reshaping traditional financial paradigms. Financial experts and academics are focusing more on financial risk prevention and control tools based on state-of-the-art technology such as machine learning (ML), big data, and neural networks (NN). Researchers aim to prioritize and identify the most informative variables for accurate prediction models by leveraging the abilities of deep learning and feature selection (FS) techniques. This combination of techniques allows the extraction of relationships and nuanced patterns from complex financial datasets, empowering predictive models to discern subtle signals indicative of potential crises. This study developed an extended osprey optimization algorithm with a Bayesian NN to predict financial crisis (EOOABNN-PFC) technique. The EOOABNN-PFC technique uses metaheuristics and the Bayesian model to predict the presence of a financial crisis. In preprocessing, the EOOABNN-PFC technique uses a min-max scalar to scale the input data into a valid format. Besides, the EOOABNN-PFC technique applies the EOOA-based feature subset selection approach to elect the optimal feature subset, and the prediction of the financial crisis is performed using the BNN classifier. Lastly, the optimal parameter selection of the BNN model is carried out using a multi-verse optimizer (MVO). The simulation process identified that the EOOABNN-PFC technique reaches superior accuracy outcomes of 95.00% and 95.87% compared with other existing approaches under the German Credit and Australian Credit datasets.
High Performance for Predicting Diabetic Nephropathy Using Stacking Regression of Ensemble Learning Method
Authors: Muflikhah Lailil , G. Nurfansepta Amira , A. Bachtiar Fitra , E. Ratnawati Dian
Published: May 2024

Diabetes may lead to several problems, one of the most prevalent and deadly of which is diabetic nephropathy. Therefore, the condition represents a significant threat to one’s health since it has the potential to cause irreversible harm to the kidneys’ ability to operate. A significant portion of the research that is being conducted now is focused on determining how accurately diabetic people may be predicted to develop kidney illness. Considering this, the research suggests a regression stacking approach for predicting albumin levels. These albumin values will serve as a reference for the incidence of diabetic nephropathy disease. They will be derived from the medical records of patients. The utilization of stacking regression from three different ensemble approaches, using Random Forest and CatBoost regressors, while the Huber algorithm is used as a meta-learner. The accuracy with which the combination of parameters that are employed is determined is a significant factor. It contributes to the high degree of performance that the ensemble approach achieves. Therefore, in this investigation, a grid search was carried out to tune the hyperparameters of both regressor models. We evaluated the performance of the proposed model using accuracy, MAPE, RMSE, and MSE values. The experimental findings demonstrate great performance. Three selected variables including quantitative UACR, semi-quantitative UACR, and urinary creatinine, achieved high performance. Overall, the performance obtained an accuracy rate of more than 98% with an error rate (MAPE, RMSE, and MSE values) of less than 1%. In conclusion, the stack regressor model can be implemented to predict diabetic nephropathy using clinical datasets.
Development of a Prototype Global Positioning System Based Stick for Blind Patients
Authors: Kumar Ramesh , Aljaidi Mohammad , Singla Manish Kumar , Gupta Anupma , Alhomoud Ahmed Mershed , Alsuwaylimi Amjad A. , Alenezi Sami M.
Published: May 2024

This paper presents a novel vision impairment assistive device to improve mobility and independence. This device consists of Arduino Nano microcontroller technology that powers the Satellite/GPS-based stick, which tracks and navigates in real-time. Arduino Nano’s adaptability and compactness enable our portable, affordable white cane replacement. Satellite signals let the stick locate the user, compute the best routes, and provide aural navigation cues through speakers or headphones. The obstacle detection sensors notify users of adjacent risks, improving safety. The proposed device is a stable and user-friendly technology that delivers a potential answer to visually impaired navigation issues after rigorous development and testing.
Encouraging Sustainable Practices and Behaviors in Tourism Consumers and Hotel Management
Authors: Fortes Aquiles , Sousa Bruno Miguel Barbosa , Carvalho Aida
Published: May 2024

Ecotourism in Portugal is taking hold especially inland, because of an exceptional set of landscapes, protected natural areas, many leisure ac-tivities, and an overwhelming cultural heritage, making this the ideal destination for the responsible traveller. In this sense, the present study, of an exploratory nature, aims to understand the determinants of tourists decision-making process in contexts of ecotourism in the Côa region. A conceptual model was proposed to study the relationship be-tween seven variables, whose results were discussed considering the existing literature. Based on the administration of 136 questionnaires, the data obtained allowed us to conclude that the image of tourist-hotel enterprises has a fundamental role in the experience and satisfac-tion of the tourist, with the need to improve the degree of affectivity in relation to the hotel units. The natural heritage is vital for tourism, for ecotourism, and it is necessary to protect it. The need for greater regu-lation of ecotourism and the promotion of support for the creation of these projects is highlighted.
Green Innovation in Wine Tourism
Authors: Falcó Javier Martínez , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Millán-Tudela Luis A. , Popescu Cristina Raluca Gh.
Published: May 2024

The purpose of this study is to investigate how wine tourism influences the adoption of environmentally friendly product and process innovations by Spanish wineries. The research includes control variables like the winery's age, its size, and its association with a Protected Designation of Origin (PDO) to accurately delineate cause-effect relationships. A conceptual model, grounded in existing literature, forms the basis of this study and is empirically examined through Partial Least Squares Structural Equation Modeling (PLS-SEM), drawing on data from 202 Spanish wineries. The results demonstrate that wine tourism substantially and positively impacts the development of green products and process innovations. This research contributes to academic discourse in several ways. It enhances the understanding of the beneficial outcomes linked with wine tourism and adds to the existing knowledge on the nexus between wine tourism and sustainability. This includes the insight that wine tourism can bolster a winery's capacity for green innovation. Additionally, this study is seemingly the first to explore wine tourism as a catalyst for green innovation. The theoretical model introduced in this research is novel, representing a notable advancement in the academic comprehension of the relationship between wine tourism and green innovation in the context of the wine industry.
Halal Food Industry and Sustainability
Authors: Kismawadi Early Ridho
Published: May 2024

This research investigates the complex and ever-changing relationship between sustainable practices and the halal food industry. Global economic growth has been driven by the expansion of culinary tourism, but concerns have been raised regarding its long-term effects on ecosystems, cultural heritage, and society. Given the substantial expansion of the halal industry, this study seeks to examine the long-term consequences of sustainability on the community, ecosystem, cultural heritage, and food industry. It is anticipated that the results of this study will make a significant contribution to the travel and hospitality sector by promoting the sustainable viability of ethical and sustainable practices in the halal food industry amid its accelerated growth.
How Does Environmental Proactivity Affect Green Innovation?
Authors: Alcaraz Marcos Carchano , Carrasco Inmaculada , González Ángela
Published: May 2024

This chapter aims to examine how the patterns of environmental proactivity, fueled by internal, external, or reactive motivations, influence the eco-innovative behaviour and the economic and financial performance of family companies in the wine sector. An empirical study was carried out based on a structural equations model, using a partial least squares technique, for a sample of 79 Spanish family wine companies taken between 2017 and 2018. The study allowed us to highlight the eco-innovative nature of family businesses in the wine sector in Spain. The search for greater effectiveness and efficiency, cost savings, improved profitability, and greater competitiveness, together with regulatory factors (regulatory framework and public incentives) were among the main drivers of environmental proactivity and eco-innovation in the companies analysed. Additionally, the development of environmental innovations results in greater economic and financial performance.
Integrating Knowledge Management for Sustainable Growth
Authors: Falcó Javier Martínez , Sánchez-García Eduardo , Marco-Lajara Bartolomé , Millán-Tudela Luis A. , Popescu Cristina Raluca Gh.
Published: May 2024

This study focuses on examining the influence of knowledge management (KM) on sustainable performance (SP) within the wine industry. Specifically, it explores how KM affects SP, considering the mediating effect of green innovation (GI) and the moderating effect of collaborative culture (CC). A theoretical model, grounded in prior research, is employed and empirically tested using structural equation modeling (PLS-SEM) with data from 202 Spanish wineries. The findings demonstrate a positive correlation between KM and SP, where GI acts as a mediator and CC serves as a moderator in this relationship. This research is distinctive in its approach: it is among the first to investigate the KM-SP relationship in the context of the wine industry and the first to incorporate the CC variable as a moderator in examining this relationship.
Optimizing Micro Friction Stir Spot Welding (mFSSW) of Aluminum Alloy AA1100 Using Neural Network Model
Authors: Atmaja Tri Haryanto Soleh , Safitri Laksita Aji , Rupajati Pathya , Baskoro Ario Sunar
Published: May 2024

This study explores the optimization of Micro Friction Stir Spot Welding (mFSSW) by investigating the influence of tool profiles on welding outcomes, using aluminum alloy AA1100 with a 0.42 mm thickness as the specimen material. Monitoring temperature and RPM during welding with thermocouples and tachometers, mechanical properties are assessed through tensile shear tests, microhardness measurements, and macrostructural observations. The findings serve as the basis for developing Neural Network models using Rapidminer software, marking a transformative development that positions Neural Networks as potent tools for optimizing welding processes, potentially leading to achieving optimal weld quality. The investigation also delves into three welding tool configurations – the two-stage pin, one-stage pin, and pinless mFSSW probes – highlighting their distinct impacts on tensile shear test values and overall welding quality. Notably, the two-stage pin configuration emphasizes the significance of larger pin diameters and controlled heat generation for enhanced weld strength, while the one-stage pin configuration underscores the pivotal role of pin diameter and elevated temperatures in improving weld quality. The pinless mFSSW probe configuration, on the other hand, emphasizes the importance of shoulder diameter and temperature control for superior tensile shear test results. Leveraging Neural Network modeling for optimization, this study advances our understanding of parameter interactions and underscores the efficacy of Neural Networks in achieving superior tensile shear test values and welding quality in mFSSW, offering valuable insights for future endeavors in the field..