bluuebunny/crossref_metadata_2025 huggingface dataset:
FT-IR and GC-MS characterization of bioactive compounds from the root extract of Anacyclus pyrethrum Linn
Authors: Anand Dr. S. P. , Nagalakshmi R. , Karthick S. , Vanathi S.
Published: October 2024

Medicinal plants have long been considered for their ability to treat various human diseases owing to their potent phytochemical properties. However, isolating lead compounds from complex mixtures requires extensive knowledge, specialized equipment, and expertise. The emergence of novel diseases underscores the importance of accurately documenting the research on medicinal plants. This study focused on Anacyclus pyrethrum (L.) Lag, an ingredient in Kabasurakudineer. Although traditional and experimental evidence supports various claims regarding these plants, thorough evaluation and utilization of their potential are still necessary. Further research is required to elucidate the mode of action of these isolates. The primary objective of this study was to identify the bioactive compounds in the ethanolic root extract of Anacyclus pyrethrum using Fourier Transform-Infrared (FTIR) and Gas Chromatography-Mass Spectroscopy (GC-MS). FTIR analysis revealed the presence of hydroxyl groups, alcohols, carboxylic acids, aromatic compounds, nitro compounds, alkyl halides, and aryl halides with major peaks at 3740.03, 3281.04, 2903.30, 1612.69, 1402.96, 1242.33, 1023.12, 658.19, and 582.88, respectively, indicating phenols, flavonoids, tannins, and saponins. GC-MS analysis identified 60 compounds, with the major constituents being 4-Decadienamide, N-Isobutyl-, (E, E)-, and (2e,4e)-N-Isobutyldodeca-2,4-Dienamide, constituting 23.03% and 17.33% of the extract, respectively. This study confirmed that the roots of Anacyclus pyrethrum (L.) contain significant natural chemical compounds, validating its traditional use in various pharmacological activities.
Legal Considerations in the Development and Commercialization of Corporate Intellectual Property
Authors: Mary Twesigomwe
Published: October 2024

With the exploitation of the internet and societal innovations and legislative shifts, it is repeatedly being raised as to whether and to what degree businesses and individuals can protect their intellectual property and in economic terms the worth of doing so. To date, how to capture value from IP and what can be considered an effective IP strategy are subjects for which there is no definitive answer as the solution is very much industry and firm-specific. Therefore, the primary goal of this paper is to provide a strategic perspective on intellectual property exploitation and management in a manner that is relevant to the business objectives of today's corporations. In doing this, this paper will argue that the effective management of IP is a complex process requiring a synthesis of insight from several disciplines ranging from strategy to finance and law. The argument underlying this is that in the same way that today's corporation has changed the way to strategy and management of other business assets, there too is a need to change how IP is both managed and exploited. This theme is prevalent throughout the following analysis, however, these two opening sections aim to provide a comprehensive framework that links and articulates the various aspects of corporate IP. This framework will be of most use to managers and decision-makers with responsibility for IP who are seeking to maximize the value of their property to use it as leverage to gain sustainable competitive advantage. A second audience for this paper is the academically minded. A sign of changes to come is that IP is now a topic of academic research in various fields that encompass PhD and other advanced studies. In addressing the wide disciplinary audience, the following analysis draws evidence from a mix of academic and business sources.
Development of Character Education Curriculum Management Based on the Integration of Pancasila Values in PAUD Tampahan District Toba Regency
Authors: Sitompul Rosalinda Septiani , Panjaitan Binur , Sitompul Arip Surpi
Published: October 2024

Education management according to Law No. 20/2003 Article 1 Paragraph 1 includes planning, organizing, directing and controlling educational resources to develop human potential holistically, including mental, moral and physical. Character education management emphasizes developing learners' characters with moral values such as honesty, responsibility and tolerance. The integration of character values in the curriculum aims to create academically intelligent and highly moral individuals. In PAUD Tampahan sub- district, the current Curriculum 2013 (K13) focuses more on academic and cognitive aspects, while character development and Pancasila values receive less attention. K13, which refers to Minister of Education and Culture Regulation No. 146 of 2014, has not been optimal in emphasizing Pancasila-based character education. Based on observation, 70% of PAUD teachers felt the need for a more structured curriculum to teach Pancasila values. This research aims to: (a) to produce a character education curriculum management design based on the integration of Pancasila values in PAUD Tampahan District, Toba Regency, and (b) to find Pancasila values that are integrated and their implementation in daily learning. This research is a Research and Development (R&D) that aims to develop and validate a character education curriculum based on Pancasila values for PAUD. The curriculum design was developed through four stages: (1) Planning: Identifying the need for character education based on Pancasila values, with 70% of PAUD teachers stating the need for a structured curriculum. (2) Organizing: Establishing the structure and components of the curriculum, including learning objectives, core competencies, and basic competencies. (3) Implementation: Pilot testing of the curriculum at Jagung PAUD showed 88% of learners in the "Developing as expected" category and 12% in the "Developing Very Well" category, with no learners in the "Not Developing" or "Beginning to Develop" categories. (4) Monitoring: Pre-test and post-test evaluations showed an increase in learner development, indicating the success of the curriculum.This curriculum integrates 10 of the 18 values of national character building according to Syarbaini (2011), namely: Sincerity, Unity, Mutual cooperation, Deliberation, Cooperation, Harmony, Patriotism, Simplicity, Dignity and self-respect, and Hard work.
Desafíos de una Etnohistoria presente
Authors: Estruch Dolores
Published: October 2024

In light of the urgent matters, expectations, and demands emerging from the present and calling contemporary ethnohistory into question, this article reflects on the challenges posed by an "ethnohistory of the present." The research approach has a twofold objective: assessing how ethnohistory can contribute to addressing the problem of territorial belonging, and proposing a series of guidelines for a case study on the history of the Salinas Grandes-Laguna de Guayatayoc Basin (the Puna in Jujuy and Salta, Argentina). The article proposes a history of the salt flat and its inhabitants based on the reconstruction and analysis of rituals, in and from different traditions, that manifested or manifest the sacred dimension of the salt flat in three different historical periods: the prehispanic and Inca period, the colonial period, and the Nation-states period.
La institucionalización del turismo en Michoacán entre 1930 y 1950
Authors: García Sánchez Eder
Published: October 2024

Los medios de difusión cultural, entre finales del siglo XIX y principios del XX, fueron reiterativos en la representación de las ciudades más importantes de Michoacán. Para la década de los treinta, el desarrollo turístico priorizó estos destinos, aunque se vislumbró un paulatino interés, tanto en los difusores como en las políticas públicas, por ampliar la oferta con otros destinos del estado entre 1930 y 1950. Sin restar valor a dichos lugares, y a diferencia de lo mostrado en los medios en las décadas anteriores, tal pareciera que el balance entre la valoración cultural y la promoción turística se inclinó cada vez más hacia esta última. El presente estudio se basa en un debate entre el aprovechamiento de imágenes “pintorescas” a partir de construcciones sociales imaginarias y la creación intencional de éstas con fines específicos de lucro turístico. Para ello se toman como referencia los productos de difusión tanto de ejemplos nacionales como extranjeros, cotejándolos con los utilizados algunos años atrás. El análisis se fundamenta en la interpretación de intenciones, entre la captura de momentos de la cotidianidad tradicional de los sitios, contra la “escenificación de realidades” que se podían mostrar al visitante que buscaba ese tipo de experiencias culturales. El resultado es una reflexión sobre los procesos de desarrollo turístico basados, entre otras cosas, en rasgos de los contextos socio culturales seleccionados como parte de las prácticas de fomento, utilizadas aún en la actualidad.
El zacahuil y el carnaval de Yahualica, en la Huasteca hidalguense
Authors: Pérez Castro Ana Bella
Published: October 2024

En este texto presentaré la importancia que cobra el gran tamal, conocido como zacahuil, bolim, tapataxtleo o patlache en la Huasteca, en particular en la celebración del carnaval en Yahualica, Hidalgo y como propósito principal cómo es que mediante el gran tamal se resignifican tradiciones culturales de cosmovisiones tan opuestas como la indígena y la española sin que se presenten contradicciones. Para dar cuenta de la manera en que cobra relevancia el gran tamal explico la importancia del contexto geográfico en todo el complejo ritual de la Huasteca; presento asimismo el contexto histórico-mítico en que surge el zacahuil y su valor en la cosmovisión huasteca. El carnaval de Yahualica, en el estado de Hidalgo, me permite dar cuenta de su relevancia y elaborar mis comentarios finales basados en interpretaciones propias respecto a su importancia en la vida social de esta población.
Milton Gabriel Hernández García (2021). Los pescadores ribereños de la bahía del Tóbari, Sonora, frente al riesgo y la crisis socioambiental. Problemáticas y construcción de alternativas desde la perspectiva de los actores sociales. México: Centro de Estudios para el Desarrollo Rural Sustentable y la Soberanía Alimentaria, LXIV Legislatura de la Cámara de Diputados
Authors: Morales Flores Haydée , Valdivia Dounce Teresa
Published: October 2024

Es una lectura obligada para especialistas o interesados en temas de pesca ribereña, así como para antropólogos sociales, etnólogos y público en general, ya que aborda de manera amplia y gratamente escrita un asunto de importancia nacional, y mundial: las formas en que la gran crisis medioambiental originada por el capitalismo afecta a las poblaciones pesqueras, mostrando el caso de los pescadores ribereños yoremes (mayos) asentados en la bahía del Tóbari, en Sonora, México.
Eulalia Guzmán (2022). Una visión crítica de la historia de la conquista de México-Tenochtitlán. México: Universidad Nacional Autónoma de México, Instituto de Investigaciones Antropológicas, Editorial Itaca
Authors: Battcock Clementina
Published: October 2024

Este libro es, sin lugar a duda, un texto maravilloso, no sólo por su famosa autora, la doctora Eulalia Guzmán, sino porque consiste en una serie de transcripciones de charlas que, entre 1960 y 1961, impartió la erudita, polémica e inigualable investigadora y que plasman numerosos argumentos y cuestionamientos sobre la denominada “Historia” de la conquista de México. Debo advertir que sobre esta temática mucha agua ha corrido debajo del puente y no es mi idea, porque no sólo sería anacrónica sino injusta, formular una crítica de las propuestas que fueron requisadas por su autora y que responden a sus inquietudes personales y a las de su tiempo.
La paradoja de la productividad y el uso de internet en países de América Latina
Authors: Rabanal Cristian
Published: October 2024

El objetivo del presente artículo es el de aportar evidencia sobre el impacto del uso de internet –como proxy de las Tecnologías de la Información y Comunicación (TIC)– sobre la Productividad Total de los Factores (PTF) para un grupo de 12 países de Latinoamérica. A diferencia de otros estudios para la región, este trabajo considera un periodo más actual y extenso donde internet ya no es una tecnología de introducción reciente. A partir de la estimación de un modelo de datos de panel two-way, se analiza dicha relación. Los resultados obtenidos aportan evidencia de una respuesta positiva, aunque inelástica. Una mejora de 1% en el porcentaje de hogares con banda ancha (PHBA) repercute en una mejora del 0.064 % de la productividad.
Sustainability reporting and market performance of listed Insurance Firms in Nigeria
Authors: Dagunduro Muyiwa Emmanuel , Falana Gbenga Ayodele , Ajayi Joseph Omotoso , Adewara Yinka Motunrayo , Bello Seyialade Muyiwa
Published: October 2024

Purpose: This study examines the effect of sustainability reporting on the market performance of listed insurance firms in Nigeria.
Methodology/approach: The study employed an ex-post facto research methodology, using pre-existing, unaltered data from 22 listed Nigerian insurance companies, selected through census sampling. Conducted from 2013 to 2023, the study period covers the transition from the Nigerian Stock Exchange (NSE) to the Nigerian Exchange Group (NGX). Panel regression analysis and the FGLS regression model were used to investigate the relationship between the variables.
Findings: This study found that sustainability reporting which includes social, environmental, and governance disclosures positively affects market performance. This shows that the market views a company's comprehensive commitment to sustainability favorably, likely interpreting it as a sign of long-term viability, ethical conduct, and effective risk management.
Practical implications: Insurance companies in Nigeria should focus on enhancing and clearly communicating their sustainability reporting initiatives, as these positively impact market performance. Firms should strategically manage and communicate these aspects to better align with investor expectations and highlight their long-term benefits. A balanced and integrated approach to sustainability reporting is essential, as it positively influences market perception and supports long-term growth and stability.
Originality/value: This study contributes to the understanding of sustainability reporting within the Nigerian insurance sector. It provides empirical evidence on how different aspects of sustainability reporting: social, environmental, and governance affect market performance. The research fills a critical gap in the literature regarding African insurance markets, offering insights that can inform both academic discourse and practical applications and financial performance.
Inteligência artificial em debate: perspectivas no cenário do conhecimento
Authors: Hessel Ana Maria Di Grado , Arruda Heloisa Paes de Barros
Published: October 2024

A temática desta coletânea compreende as questões emergentes sobre a Inteligência Artificial tanto generativa como preditiva, pertinentes a área das humanidades. A motivação para a escrita dos textos, aqui reunidos, surgiu por conta dos pontos controversos que têm pautado os debates a respeito, abarcando as expectativas favoráveis e os temores sobre o uso da IA. Na academia estamos tentando ultrapassar o patamar das considerações especulativas, pois há um grande interesse em entender de que modo os produtos da IA podem influenciar nosso modo atual e futuro de vida. A educação de qualidade, quarto objetivo da ODS, justifica as considerações expressas nos textos desta obra, os quais têm como escopo trazer contribuições para subsidiar e fomentar reflexões a respeito do atual cenário da IA. Em síntese, os temas discutem: o impacto da IA generativa no campo educativo e os seus usos como ferramenta pedagógica; a práxis docente frente ao uso da IA generativa e a IA preditiva, com foco na EaD; o uso da IA generativa na elaboração de textos acadêmicos e as decorrentes questões éticas; os limites do uso da IA preditiva no reconhecimento de emoções e avaliação de desempenho; o papel dos tutores inteligentes e afetividade em ambientes virtuais de aprendizagem; a pesquisa com o auxílio de buscadores baseados na IA generativa; o desenvolvimento de jogos para a educação com o auxílio da IA; o emergente uso da IA generativa no design educacional. O público-alvo desta coletânea é diverso e amplo, visto que o interesse pela temática abarca muitos domínios e podem se estender a educadores, pesquisadores, docentes e estudantes do mundo acadêmico, profissionais interessados nas mudanças e dinâmica da economia global, bem como os estudiosos das ciências cognitivas, entre outros.
On the signs of official forgery
Authors:   Саратовская государственная юридическая академия, Саратов, Россия, Оксана Юрьевна Красовская , Елена Николаевна Конина ,   Саратовская государственная юридическая академия, Саратов, Россия
Published: October 2024

The article reveals the problems of legislative regulation of provisions on official forgery as a crime; these include understanding of the official document, use of official positions with special crimes, forms of acts in official forgery. Blanket disposition part 1 art. 292 of the Criminal Code of the Russian Federation makes it difficult for law enforcement officers to have a uniform understanding of the subject of official forgery, and therefore there is a need to study the concept of an official document as the subject of a crime. An analysis of the legislative definitions of “document”, “official document”, as well as an explanation of the subject of official forgery presented in the resolution of the Plenum of the Supreme Court of the Russian Federation, made it possible, in order to bring judicial practice to uniformity, to conclude that it is advisable to supplement Art. 292 of the Criminal Code of the Russian Federation with a note on the concept of an official document as the subject of official forgery.
Judicial practice as a legal institution
Authors:   Ростовский филиал Российского государственного университета правосудия, Ростов-на-Дону, Россия, Зинаида Сергеевна Лусегенова
Published: October 2024

Based on the analysis of the works of legal theorists and scholars devoted to judgments about the legal nature of judicial practice as a source of law, its role and place in the Russian legal system, the authors stated that the independence of judicial practice was recognized only at the doctrinal level, but the value of judicial practice for the activities of courts, the improvement of legislation and the fruit-fulness of science was not disputed. The study of the normative consolidation of the category of judicial practice in legislation made it possible to show the procedural nature of judicial practice as a procedural institution, and the definition of its subject classification will improve the procedure for systematizing judicial practice.
On obligations under the national regulating the activities of private miltary and security companies: the experience of the Russian Federation
Authors:   Кабардино-Балкарский государственный университет им. Х. М. Бербекова, Нальчик, Россия, Муаед Лялюевич Хабачиров
Published: October 2024

This article is the next stage of the author's research in the field of international security problems, the emerging international emergency law (PIL) and is a continuation of the existing scientific and practical discourse on the problems of understanding legal problems related to the search for effective regulators in the field of PMSC activities. Considerable attention is paid to the analysis, search and formation of a modern concept of regulatory regulators of PMSC activities. Based on the study of international legal "soft" regulation, as well as the available examples of national regulation of a number of states, the article analyzes the existing draft legislative acts on the regulation of PMSCs in the Russian Federation. The methodology of the research includes the methods of general scientific, comparative political and legal analysis.
Western Adults’ Neural Responses to an Ambiguous Rhythm: Effects of Priming With and Without Active Attention
Authors: Flaten Erica , Carrillo Chantal , Trainor Laurel
Published: October 2024

Auditory rhythm perception involves bottom-up encoding of timing
information and top-down maintenance of a particular interpretation.
Beats in musical rhythms can be grouped to form metres, such as duple
(two-beat groupings) or triple (three-beat groupings). Subjective
(top-down) metre perception can be measured using
electroencephalographic responses like mismatch negativity (MMN), P3a,
and Steady-State Evoked Potentials (SSEPs). Previously we showed infants
could be primed to perceive an ambiguous 6-beat rhythm as either duple
or triple by adding loudness accents to every second, or third beat,
respectively. For the subsequently presented unaccented rhythm, infants
exhibited larger mismatch responses for pitch deviants on primed strong
beats, particularly after duple priming (Flaten et al., 2022). Here we
applied the same protocol to adults in two experiments. In Experiment 1,
adults were passively primed to perceive the rhythm as duple or triple
identically as the infants in the previous study. In Experiment 2,
participants actively imagined the accents. Results showed that MMN and
P3a were not enhanced for strong beats; however, P3a showed significant
enhancement for duple beats regardless of priming or attention, driven
mainly by musically experienced participants. SSEPs were enhanced at the
primed frequency but only when participants actively imagined the metre.
As with infants, effects were stronger in the duple group. These results
suggest a strong bias toward duple metre in adults that requires
attention to overcome, and which likely relates to enculturation to
Western music as it was enhanced by music and dance experience.
Stochastic Approximation in Unbalanced Time-Varying Networks for Robust Distributed Coordinated Control
Authors: Wang Bo , Han Zhimin , Zhai Chunjie , Lv Xinxin
Published: October 2024

The stochastic approximation based control law has been proved to be a
powerful tool to achieve the robust distributed coordinated control for
multi-agent systems (MASs) with uncertain disturbances in fixed or
balanced time-varying network. However, its effectiveness proof in
unbalanced time-varying networks is not well solved. The main
contribution of this paper is solving this problem in two typical
coordinated control problems based on a time-varying quadratic Lyapunov
function. Firstly, the stochastic approximation for consensus problem of
discrete-time single-integrator MASs with additive noises is studied. We
build the weak consensus, mean square and almost sure consensus
conclusion under the assumption that the time-varying network is
uniformly strongly connected (USC) by adopting the stochastic
approximation based consensus protocol. The convergence rate of the weak
consensus is also quantified. Secondly, the stochastic approximation for
formation control problem of MASs with relative-position information in
the plane as an application of the built consensus conclusion is
studied. We show that the stochastic approximation based formation
control law can be used to achieve the desired formation for MASs if the
network is USC. We finally give numerical simulations to verify the
correctness of the conclusion.
Grounding Large Language Models in Real-World Environments Using Imperfect World Models
Authors: Zhang Lin , Liu Zihan , Zhou Yuchen , Wu Tong , Sun Jintao
Published: October 2024

In many real-world environments, data is often incomplete, noisy, or contradictory, posing challenges for models that rely on structured and perfect information. Addressing this issue, a novel approach to grounding has been developed, focusing on aligning internal model representations with external imperfect world data through adaptive mechanisms. The technique explored here integrates a probabilistic world model with LLaMA, enabling the model to infer missing data and resolve inconsistencies while maintaining a high degree of accuracy in decision-making tasks. Experimental results demonstrate the model’s capacity to remain robust under conditions of fluctuating data quality, highlighting its potential for deployment in environments that demand contextual awareness and adaptability. This research shows that LLMs can maintain effective performance even in the presence of substantial uncertainty, offering promising insights into the practical application of models that must operate in real-time with incomplete or conflicting information.
Catalytic reduction behaviors of NOx and its use in biomass combustion
Authors: Yuan Haoyan , Qiu Qiqi , Sun Huiping , Luo Siyi
Published: October 2024

How to effectively apply NOx control technology to the biomass combustion process has become a current research hotspot. Aiming at the characteristics that the NOx produced in biomass combustion process are mainly from the nitrogen element of biomass fuel, this paper adopts the fuel classification ? zone reduction method to control NOx. Firstly, the reaction behavior, kinetic characteristics and optimal reduction parameters of NO reduction by coke were explored in a fixed-bed reactor. Following, the elemental analysis, pore analysis, scanning electron microscopy and other characterization methods combined with reduction experiments were used to study the changes of physical property parameters, reduction capacity and denitrification efficiency of coke after loading Fe based catalyst. By understanding the NO-C heterogeneous reduction process, the optimal conditions for enhancing reduction efficiency will be revealed, such as temperature, O2 content in flue gas, and catalyst loading. The findings will provide a theoretical basis and technical support for implementing carbon reduction in low-N biomass combustion.
Thermal management of methanol steam reforming reactor by back propagation neural network and particle swarm optimization algorithm
Authors: He Zhenzong , Sun Shijie , Jiang Xinyu , Mao Junkui , Liang Fengli , Fu Yao
Published: October 2024

Methanol steam reforming (MSR) reactor is a device that converts the methanol
into hydrogen. Since the MSR is an endothermic reaction, the methanol
conversion is usually affected by the heating conditions. So, to improve the
methanol conversion, the heating condition should be managed. This study
aims to present a framework and methodology for studying the thermal
management of a determined MSR reactor by controlling the heating
conditions. Firstly, the characteristics of a three-dimensional MSR reactor
are carried out, and the effects of the inlet condition parameters e.g.
heating parameters and fuel supply parameters, on the methanol conversion
are investigated. Then, the performance prediction of the MSR reactor is
studied using several common intelligence algorithms and the corresponding
surrogate models are obtained. The back propagation neural network (BPNN)
surrogate model shows the best prediction accuracy than stepwise linear
(SL), radial basis function neural network (RBFNN), linear support vector
machines (L-SVM), and random forest algorithms (RFA). Finally, the thermal
management of the MSR reactor is carried out by combining the surrogate
model and particle swarm optimization (PSO) algorithm to obtain better
performance. The results show that hydrogen production of the MSR reactor
can be generally guaranteed by the characteristic curves of the heating
parameters and fuel supply parameters, and the methanol conversion can be
maintained steadily above 93% within the whole period of the hydrogen
production requirements.
Multi-objective optimization of liquid cold plate with v-shaped ribs for lithium-ion batterys
Authors: Wang Yan , Liang Shaozhong , Fu Jian , Zheng Jian , Wang Ya
Published: October 2024

The performance of lithium-ion batteries is affected by the operational
temperature significantly for the NEVs, and should be below 338 K and 5 K,
respectively in the actual project. An efficient thermal management system
is essential for the battery, as it would ensure the safe operation and
increase the battery life. In this study, the LCP with V-shaped ribs is
applied to improve the heat transfer characteristics for guaranteeing the
safe operational temperature of the battery. Based on the battery thermal
models, the accuracy of numerical simulation through classical experimental
correlation is verified, and is adopted to investigate the effects of
different design factors on the heat dissipation of the battery, including
the ribbed shaped, the distance between adjacent ribs and the inlet velocity
of the coolant. The maximum temperature and the temperature difference of
the battery and the pressure drop of the channel are taken as the design
objectives. An orthogonal test and an entropy weighted-TOPSIS method are
used to optimize the results with multi-objective analysis, then the optimal
case of design parameters is obtained. The optimal case for the LCP is the
ribbed shape of Model 2, the distance between the adjacent ribs of 30 mm and
the inlet velocity of 0.3 m/s. A good balance is achieved between the heat
dissipation of the battery pack and the pressure drop of the channel. The
optimal case can reduce the maximum temperature and the temperature
difference of the battery by 7.41K and 4.94K compared with the unoptimized
cases, meanwhile the pressure drop is also effectively controlled.
Mathematical modeling of impurity diffusion process under given statistics of a point mass sources system. II
Authors:   Lviv Polytechnic National University, Pukach P. Y. , Chernukha Y. A. ,   Lviv Polytechnic National University
Published: October 2024

Modeling of the impurity diffusion process in a layer under the action of a system of random point sources is carried out. Mass sources of different power are uniformly distributed in a certain internal interval, that may also coincide with the entire region of the layer. The statistics of random sources is given. The solution of the initial-boundary value problem is found as the sum of the homogeneous problem solution and the convolution of the Green's function with the system of the random point sources. Averaging of the solution is performed on the internal subinterval and in the entire body region. The formulas for the variance, correlation function of the concentration field and coefficient of correlation are expressed in terms of the second moment of random mass sources. Software modules are developed for simulating the behavior of the averaged concentration, variance and correlation function. Their numerical analysis also is performed. General properties of the considered function are determined depending on the problem parameters.
Statistical method using Principal Component Analysis to determine high variability parameters affecting the balancing of an assembly line
Authors:   Laboratory of Complex Cyber Physical Systems (LCCPS), ENSAM Casablanca, University Hassan 2, Hillali Y. ,   Pluridisciplinary Laboratory of Research and Innovation (LPRI), EMSI Casablanca, Zegrari M. ,   Laboratory of Complex Cyber Physical Systems (LCCPS), ENSAM Casablanca, University Hassan 2, Alfathi N. ,   Laboratory Intelligent Systems and Applications (LSIA), EMSI Tanger, Chafik S. ,   Pluridisciplinary Laboratory of Research and Innovation (LPRI), EMSI Casablanca, Tabaa M. ,   Pluridisciplinary Laboratory of Research and Innovation (LPRI), EMSI Casablanca
Published: October 2024

Modern assembly lines face numerous challenges when it comes to satisfying client expectations. The challenges discussed include increasing customization demands, maintaining quality standards, managing lead times, addressing sustainability concerns, and effectively utilizing advanced technologies. This challenges impact assembly lines efficiency and effectiveness in other word balancing of the line. This research aims to identify the essential components that significantly influence the balance of assembly lines. To achieve this objective, a novel approach is proposed using a 3D matrix interpretation and statistical method, Principal Component Analysis (PCA). The research leverages the MATLAB tool to analyze the interactions between various parameters and identify highly changeable factors that impact assembly line balance. By employing this methodology, the study aims to provide valuable insights into identifying the parameters of an assembly line balancing and enhancing overall operational efficiency. The finding of this approach, reveal a significant influence of altering the piloting parameters on assembly line balancing. This result underscores the importance of dynamically balancing the assembly line to achieve optimal performance.
Conception of a new quality control method based on neural networks
Authors:   Industrial technique laboratory, FST, Sidi Mohamed Ben Abdellah University, Zoubaidi Z. , Herrou B. ,   Industrial technique laboratory, FST, Sidi Mohamed Ben Abdellah University, Sekkat S. ,   IASI-ENSAM, Moulay Ismail University, Khadiri H. ,   IASI-ENSAM, Moulay Ismail University
Published: October 2024

The prediction of failures in a factory is now an important area of industry that helps to reduce time and cost of non-quality from the data generated from the sensors installed on production lines, this data is used to detect anomalies and predict defects before they occur. The purpose of this article is to model an intelligent production line capable of predicting various types of non-conforming products. For that, we will utilize the neural network methodology within the specific context of a production line specialized in juice manufacturing. Firstly, we introduce the production line under study, along with its distinct manufacturing phases. Secondly, we evaluate the performance indicators of this line, enabling us to gain an overview of its efficiency and overall performance. Subsequently, we present common industrial solutions that are frequently implemented to address the issues identified during our analysis. At this stage, we propose a predictive model based on neural network methodology. This model will possess the capability to detect and identify defective products and potential hazards within a production line before they occur. Throughout this study, we compare between three models of neural networks: LSTM model using Stochastic gradient descend (SGD), Feed forward model using ADAM Optimization and Feed forward model using Levenberg–Marquardt back propagation (LMBP), in order to determine the most optimal method in terms of achieved results. Finally, we demonstrate the effectiveness, performance, and accuracy of the results through the testing phase of the neural networks.
Color image encryption using chaotic-based cryptosystem
Authors:   Universiti Sultan Zainal Abidin Gong Badak, Mamat A. R. , Mohamed M. A. ,   Universiti Sultan Zainal Abidin Gong Badak, Abidin A. F. A. ,   Universiti Sultan Zainal Abidin Gong Badak, Mohamed R. R. ,   Universiti Tenaga Nasional, Sambas A. ,   Universiti Sultan Zainal Abidin Gong Badak; Universitas Muhammadiyah Tasikmalaya, Rusyn V. ,   Yuriy Fedkovych Chernivtsi National University, Lisnichuk A. Ye. ,   Lviv Polytechnic National University, Markovych B. M. ,   Lviv Polytechnic National University
Published: October 2024

This paper presents research on a proposed project involving image encryption using a chaotic-based cryptosystem. The purpose is to create an image encryption environment with additional features derived from chaos theory. This cryptosystem applies the element of uncertainty and sensitivity to initial conditions. The encryption uses a symmetric key; generating a key is based on a chaotic map — a nonlinear mathematical function that exhibits uncertainty and randomness based on initial values. Any change in the initial conditions affects the function's outcome. Furthermore, this encryption aims to create a secure image-sharing environment over a public network, as image or text data can be intercepted or eavesdropped on by unauthorized users. A comparison based on image histogram analysis, pixel changes between the original and encrypted images, and encryption and decryption calculations were performed, demonstrating that the plain image differs from the encrypted image.
Application of machine learning algorithms to enhance blockchain network security
Authors:   Lviv Polytechnic National University, Solomka I. R. , Liubinskyi B. B. ,   Lviv Polytechnic National University, Torshyn V. V. ,   Lviv Polytechnic National University
Published: October 2024

This paper embarks on a detailed examination of the inherent security challenges faced by blockchain networks, including fraudulent transactions, double-spending, and 51% attacks, among others. Using recent advancements in ML, it presents a novel methodology for real-time anomaly detection, predictive threat modeling, and adaptive security protocols that leverage data-driven insights to fortify the blockchain against both known and emerging threats. By analyzing case studies and empirical data, this study illustrates the effectiveness of ML techniques in enhancing the resilience and integrity of blockchain systems. Furthermore, it explores the implications of these innovations for future blockchain applications, proposing a framework for the integration of ML into blockchain security strategies. This article aims to serve as a cornerstone for researchers, technologists, and cybersecurity professionals, offering insights into the future of secure blockchain ecosystems powered by the intelligent capabilities of machine learning.
Analysis of Changes in the Durability of Concrete Structures in the Industry under Chemical Exposure, Considering Potential Risks for Workers and the Environment
Authors:   Institute of Disaster Management of National University of Public Service, Kátai-Urbán L. , Horváth G. ,   Institute of Disaster Management of National University of Public Service, Berger A. ,   National University of Public Service, Cimer Z. ,   National University of Public Service
Published: October 2024

The requirements for industrial facilities’ resistance to external impacts and reliability are higher when compared with other facilities. The most common construction material, inter alia, in various industrial sectors is concrete due to its easy production and use, relatively low cost, and wide application. The environmental cleanliness is traditionally considered one of the advantages of concrete. All lifecycle stages of concrete, however, from the production process until the end of the service life of ready-to-use objects, imply serious environmental risks. Therefore, already at the design stage of (ferro)concrete structures, it is necessary to consider, in addition to the functions of the future object, the external impacts it will be exposed to. Concrete properties are not constant and change from the moment of mixing, during the transportation, and until its complete hardening. Apart from the composition and compliance with standards, many factors affect the properties. One of the main factors is an aggressive environment, whose impact can not only damage but completely disable building structures. The design service life of structures must exceed the operation lifecycle or comply with it. Concrete is considered durable if, during the design service life, it withstands loads and negative impacts of external factors and remains undamaged, taking into account industrial operation and timely maintenance. Already at the beginning of design jobs, the duration of the design service life must be estimated correctly. Both under- and overestimation of the design service life of ferroconcrete structures reduce safety and reliability and cause an unjustified rise in production and operating costs. The authors of the study analyze problems that may arise at the plants of the chemical industry in case of destruction of concrete under the impact of the aggressive liquid medium by conducting a practical study in conditions as realistic as possible. Within the framework of accelerated study, the authors examined the changes in concrete strength by control samples under pressure impacted by hydrochloric acid and sodium hydroxide. Test trials have clearly demonstrated the importance of the correct definition of concrete class in accordance with the medium of application. This must be considered during the practical work of employees of disaster protection agencies at industrial facilities with tanks to collect and store aggressive liquids, including firewater.
Évaluation de l’effet de la pandémie de COVID-19 sur le taux d’hospitalisation pour des raisons de santé mentale chez les jeunes au Canada : analyse de séries chronologiques interrompues
Authors: Dharma Christoffer , Al-Jaishi Ahmed A. , Collins Erin , Orchard Christa , Amankwah Nana , Lang Justin J. , Colman Ian , Weeks Murray , Edjoc Rojiemiahd
Published: October 2024

Introduction

Cette étude a évalué l’effet de la pandémie de COVID-19 sur l’évolution des taux d’hospitalisation pour des raisons de santé mentale ou de dépendance chez les jeunes (de 10 à 17 ans) dans les provinces et territoires du Canada (à l’exception du Québec) entre le 1er avril 2018 et le 5 mars 2022.

Méthodologie

Nous avons effectué une analyse de séries chronologiques interrompues sur trois périodes : T0 (avant la pandémie : du 1er avril 2018 au 15 mars 2020), T1 (début de la pandémie : du 15 mars 2020 au 5 juillet 2020) et T2 (fin de la pandémie : du 6 juillet 2020 au 5 mars 2022).

Résultats

Avant la pandémie, les taux d’hospitalisation pour des raisons de santé mentale ou de dépendance étaient très variables d’une région à l’autre, avec des taux hebdomadaires allant de 6,27 événements pour 100 000 personnes (Manitoba) à 85,59 événements pour 100 000 personnes (trois territoires). Au cours de la période T1, le taux d’hospitalisation hebdomadaire à l’échelle nationale (à l’exception du Québec) est passé de 12,82 événements pour 100 000 personnes avant la pandémie (IC à 95 % : 12,14 à 13,50) à 5,11 événements pour 100 000 personnes (IC à 95 % : 3,80 à 6,41). Il n’y a pas eu de changement statistiquement significatif du taux d’hospitalisation pour des raisons de santé mentale ou de dépendance dans les provinces et les territoires pour la période T2 par rapport à la période T0. Cependant, le taux d’hospitalisation pour automutilation a augmenté de façon considérable chez les filles dans l’ensemble du Canada et dans la plupart des provinces au cours de cette période.

Conclusion

Bien que plusieurs études canadiennes aient fait état d’une augmentation du nombre de consultations externes et de consultations aux urgences pour des raisons de santé mentale ou de dépendance chez les jeunes pendant la pandémie de COVID-19, cette hausse ne s’est pas traduite par une augmentation du nombre de patients hospitalisés, à l’exception notable des cas d’automutilation chez les filles.
Le bien-être psychologique et ses associations avec les caractéristiques sociodémographiques, la santé physique, la consommation de substances et d’autres composantes de la santé mentale chez les adultes au Canada
Authors: Varin Melanie , Clayborne Zahra M. , Baker Melissa M. , Palladino Elia , Orpana Heather , Capaldi Colin A.
Published: October 2024

Introduction

Le bien-être psychologique est une composante importante de la santé mentale positive et un atout qui favorise la santé de la population. Notre étude a permis d’analyser les corrélats du bien-être psychologique chez les adultes (18 ans et plus) vivant dans la collectivité dans les 10 provinces canadiennes.

Méthodologie

À l’aide des données de l’Enquête sur la santé dans les collectivités canadiennes – Composante de réponse rapide sur la santé mentale positive de 2019, nous avons effectué des analyses de régression linéaire dans lesquelles diverses variables relatives aux caractéristiques sociodémographiques, à la santé mentale, à la santé physique et à la consommation de substances ont été étudiées en tant que prédicteurs du bien-être psychologique. Le bien-être psychologique a été mesuré en fonction de six questions du Continuum de santé mentale – Questionnaire abrégé. Celles-ci évaluaient les perceptions des répondants, pour le mois précédant l’enquête, en lien avec l’acceptation de soi, l’épanouissement personnel, la maîtrise de l’environnement, l’autonomie, les rapports positifs avec les autres et le but dans la vie.

Résultats

Dans les analyses de régression linéaire simple et de régression linéaire multiple, un âge plus avancé, le fait d’être marié ou de vivre en union libre et le fait d’avoir un IMC correspondant à un excès de poids (25,00 à 29,99) ont été associés à un bienêtre psychologique supérieur, tandis que les facteurs associés à un bien-être psychologique inférieur ont été la présence signalée d’un trouble de l’humeur ou d’un trouble d’anxiété, un haut degré de stress perçu dans la vie, une forte consommation épisodique d’alcool et une consommation fréquente de cannabis. Il n’y a eu aucune association significative entre le bien-être psychologique et le sexe, le fait d’avoir des enfants à la maison, le statut vis-à-vis de l’immigration, l’appartenance à un groupe racisé, le niveau de scolarité, le tertile de revenu du ménage, le fait d’avoir un IMC dans la catégorie de l’obésité (≥ 30,00), les maladies chroniques majeures et le tabagisme.

Conclusion

Cette recherche révèle les caractéristiques sociodémographiques et les facteurs relatifs à la santé mentale, à la santé physique et à la consommation de substances qui sont associés au bien-être psychologique chez les adultes au Canada. Les constats qu’elle a permis de dégager mettent en évidence les groupes et les caractéristiques qui pourraient faire l’objet de recherches futures dans l’objectif de promouvoir le bien-être psychologique.
Methods for evaluating intersectoral action partnerships to address the social determinants of health: a scoping review
Authors: Asirvatham Roshaany , Nelson Allison , Northam Jonathan , Lucyk Kelsey
Published: October 2024

Introduction

Many of the social and economic factors that shape conditions for population health and health equity (e.g. income, education and employment) lie outside of the health sector. Intersectoral action (ISA) is pivotal to building diverse partnerships that address these social determinants of health. Despite the significant role of ISA, there are few comprehensive reports from the health sector on how such partnerships are evaluated. The purpose of this scoping review is to provide an overview of examples of ISA partnership evaluations, including the identification of evaluation methods, tools and indicators.

Methods

A literature search of two academic databases, Embase and MEDLINE, identified seven relevant studies published between 2012 and 2022.

Results

Common evaluation approaches were network analysis, community- or system- level analysis, partnership evaluation and longitudinal process evaluation. Five of the studies assessed the strength and functionality of partnerships, with reach (e.g. distance between partners) used most frequently as an indicator.

Conclusion

Despite the complexity of evaluating ISA partnerships, such evaluations are crucial for assessing impacts on health outcomes and social determinants of health, goal achievement, accountability and sustainability. Different evaluation models are available to program planners and evaluators involved in ISA initiatives.