bluuebunny/crossref_metadata_2025 huggingface dataset:
AI Chatbots in LMS: A Pedagogical Review of Cognitive, Constructivist, and Adaptive Principles
Authors:   Department of Information Technology and Informatics (ITI), School of Computing and Information Technology (SCIT) Kaimosi Friends University, Kaimosi, Kenya., Mungai Brian Kamau , Kabeti Omieno Professor Kelvin ,   Department of Computer Science, School of Computing and Information Technology (SCIT), Egessa, PhD Dr. Mathew ,   School of Business, Technical University of Mombasa, Kenya, Manyara Peninah Njeri ,   Independent Researcher, Eldoret, Kenya
Published: August 2024

The sudden growth of technology has profoundly shifted various sectors, notably education, where Artificial Intelligence (AI) chatbots are revolutionizing Learning Management Systems (LMS). LMSs are pivotal in the management of educational materials and engagements between educators and students. Traditional LMSs often encounter obstacles like limited interactivity and static content, which impact student engagement and overall effectiveness. AI chatbots can tackle these challenges by providing real-time, adaptable support, thereby enriching the educational process. This study explores the integration of these chatbots in LMS through the lens of three pedagogical principles: Cognitive Load Theory (CLT), Constructivist Learning Theory, and Adaptive Learning Theory. CLT strives to regulate cognitive load to enhance learning efficiency, with chatbots simplifying content and offering instant feedback. Constructivist Learning Theory advocates for active, contextual learning through interaction, a principle supported by AI chatbots engaging learners in conversations and problem-solving activities. Adaptive Learning Theory emphasizes the personalization of educational experiences, a goal achieved by AI chatbots tailoring content and adjusting to student performance in real time. This study presents AI chatbots' alignment with pedagogical principles, revealing their potential to enhance LMS environments and improve student engagement, comprehension, and achievements.
Applications of Fuzzy Decision Support Systems in Human Resource Management by using TOPSIS approach
Authors:   Assistant Professor, School of Management Studies-M.R.P.G. College, Fort Campus, Vizianagaram, Kodukulla S. N. Murty , Prasad K. Harikrishna ,   Assistant Professor, School of Management Studies-M.R.P.G. College, Fort Campus, Vizianagaram, Raju Dr. B. S. N. ,   Professor, School of Management Studies-M.R.P.G. College, Fort Campus, Vizianagaram
Published: August 2024

Objectives: To address the relevance of human resource management as well as the impact that the administration of this component of a company on the operation of that firm. In addition, to describe how to facilitate this process by making use of decision support systems, which are tools that can be applied to improve the results section. Method: The theory that underpins the decision support systems is referred to as the TOPSIS (Technique for order of preference by similarity to ideal solution) approach, and it is a well-known method. In his paper, we discussed how the fuzzy and TOPSIS techniques will be used to provide interesting results. Findings: Applicability of fuzzy TOPSIS approach in effective HR Decision making process in the areas of planning and administrative management. Novelty: The numerous beneficial properties of the fuzzy technique can be utilized in the field of human resource management. The use of the fuzzy- TOPSIS approach increases the selection performance of employers and makes managerial decision-making easier.
Student Responses Based on Emotional Intelligence in Mathematics Learning with A STEM Approach in Class X of Al-Islam High School of Krian-Sidoarjo
Authors:   Department of Mathematics Education,UniversitasPGRIAdiBuanaSurabaya,Indonesia, Prayitno Sunyoto Hadi , Fiantika Feny Rita ,   Faculty ofEducational Sciences, UniversitasPGRIAdiBuanaSurabaya,Indonesia, Ni’mah Zulfiatin ,   Department of Mathematics Education,UniversitasPGRIAdiBuanaSurabaya,Indonesia
Published: August 2024

Quality learning can affect the effectiveness of learning. One measure of learning effectiveness is students’ responses in learning. If students have the ability to manage, control, monitor, and regulate their emotions appropriately, they can be said to have good emotional intelligence. Therefore, emotional intelligence can be considered a component that can be taken into account and used as a basis for effective learning. The subjects used in this study were students of class X-04 Al-Islam High School of Krian-Sidoarjo. The method used in this study was descriptive quantitative with a one-shot case study research design. The results showed that students’ responses during the learning process identified using the STEM approach with the STAD (Student Team Achievement Division) learning model during two meetings were as follows: Students with high emotional intelligence obtained a positive response percentage of 95.71%. Students with moderate emotional intelligence obtained a positive response percentage of 91.67%. Meanwhile, students with low emotional intelligence obtained a positive response percentage of 58.64%.
Balancing acts: a case study of postural stability comparison between active and retired aerobic gymnastics athletes with inclinometer sensors
Authors: Yudho Firdaus Hendry Prabowo , Hasanuddin Muhammad Iqbal , Dermawan Dikdik Fauzi , Mahardhika Dhika Bayu , Risnawati Risnawati
Published: August 2024

Objective: This research introduces an innovative method for accurately measuring body stability in real-time using a wearable inclinometer sensor and measuring differences in the stability abilities of active and ex-aerobic gymnastics athletes in performing three stability movement tasks based on three types of balance. Methods: A total of 8 people consisting of 4 athletes (2 Males, 2 Females) age M 21 ± SD 4.4 and 4 former athletes (2 Males, 2 Females) age M 39 ± 3.3, were instructed to carry out bipedal, unipedal and tiptoe stability tests. Results: The results of the correlation test between stability components show that this wireless inclinometer instrument has high validity results. In the bipedal stability test, ex-athletes showed better abilities than active athletes, but on the other hand, for more difficult stability tasks, active athletes showed better performance. The results of the difference test in the sagittal plane show significant results in all stability schemes, and in the frontal plane, only one stability scheme shows a significant difference. Conclusion: The instrument utilized in this study demonstrates a good validity for assessing body postural stability across three balance categories. Significantly, it reveals pronounced differences between active and retired aerobic gymnastics athletes, particularly in maintaining stability, notably in the sagittal plane compared to the frontal plane.
Keywords: Angle Measurement, Postural Stability, Sports Measurements, Wearable Sensor, Wireless Inclinometer
Brincando de morrer, morrendo de brincar: estratégias discursivas e representações da morte em memes na pandemia
Authors:   , Souza Bruna Kelly de Oliveira
Published: August 2024

Durante a pandemia de COVID-19 em 2020, o Brasil experimentou um aumento significativo no uso das redes sociais. Um estudo da Fundação Getúlio Vargas revelou que 34% das menções no Twitter sobre a doença eram memes, superando as notícias compartilhadas (17%). A produção de memes refletiu não apenas o desafio do momento, mas também a capacidade da cultura digital brasileira de usar o humor como ferramenta de enfrentamento e expressão coletiva. Os memes tornaram-se uma forma de conexão e expressão diante das experiências compartilhadas durante esse período histórico desafiador, marcado por um alto número de óbitos. Diante desse contexto, este trabalho visa analisar discursivamente as estratégias de representação da morte durante a pandemia no Brasil, utilizando memes coletados no Facebook. A coleta de dados abrange 30 memes publicados entre 17 de março de 2020, data da primeira morte por COVID-19, e 22 de maio de 2020, momento em que ocorreu o pico de óbitos diários no ano mencionado. Nossa abordagem analítica baseia-se, predominantemente, nos pressupostos teóricos e metodológicos da Teoria Semiolinguística. O percurso de análise está organizado da seguinte forma: (a) análise da comunicação real entre memes e leitores; (b) análise da comunicação ficcional entre personagens; (c) análise da mise en scène humorística, explorando jogo semântico, jogo enunciativo e jogo imagético. Nesta pesquisa, observamos que trabalhar com memes é uma tarefa desafiadora, pois esse gênero possui muitas especificidades, como a ampla circulação no ambiente digital, a presença fundamental de elementos imagéticos, a utilização central do humor por meio de recursos variados e uma quantidade limitada de material verbal. Com relação aos resultados, verificamos que a temática da morte é abordada de maneira eufêmica, sendo recorrente a preferência por criar humor por meio de referências e associações indiretas. Palavras-chave: Análise do Discurso. Semiolinguística. Pandemia. Memes. Morte.
Fatores intervenientes no teletrabalho no contexto das IFES: um estudo de caso na Fundação Universidade Federal da Grande Dourados
Authors:   , Guilhermino Claudeir de Almeida
Published: August 2024

O desenvolvimento e inovação de tecnologias de informação e comunicação (TICs), tem propiciado uma nova forma de relação de trabalho entre empregado e empregador, o chamado teletrabalho. Com o advento da pandemia essa nova tendência se intensificou e está sendo objeto de estudos por parte de pesquisadores. Estes estudos servem para trazer à luz aspectos encontrados nessa nova relação. Sendo assim, este estudo teve como objetivo: caracterizar os fatores intervenientes no teletrabalho nos setores administrativos (Chefias de Divisão das Pró- Reitorias de Ensino, Pesquisa e Extensão) e acadêmicos (Coordenadores de Cursos) da Universidade Federal da Grande Dourados – UFGD – Dourados-MS; identificar os principais fatores restritivos e promotores quanto à possibilidade de teletrabalho na UFGD e propor recomendações gerenciais aplicáveis ao eventual processo de implementação do teletrabalho na UFGD. Para tanto, a pesquisa desenvolvida neste trabalho foi do tipo qualitativa, por meio de um estudo de caso e utilizando-se de entrevista semiestruturada, seguindo um roteiro de entrevista. Para a análise dos dados qualitativos foi utilizada a Análise de Conteúdo Categorial. Os resultados da pesquisa mostram que 85% dos entrevistados consideram a possibilidade de teletrabalho de forma parcial. Os resultados encontrados, sejam promotores e restritivos, corroboram estudos encontrados em outras literaturas. Dois pontos de destaque se referem à importância da estruturação tecnológica apontada pelos pesquisados como insuficiência e defasagem de equipamentos juntamente com investimento nas tecnologias de redes de informação e a necessidade de ferramentas de avaliação e controle de metas e desempenho. Os pesquisados se mostram preocupados em como seria a forma de avaliação, cumprimento de metas e entrega de resultados. Palavras-chave: Teletrabalho; Fatores Promotores; Fatores Restritivos.
Review of Switching Mechanism and Routing Algorithms for The Design of 1*3 Router Using Verilog
Authors: Banti Kumari  , Kanika Jindal  , Amit Kumar
Published: August 2024

A key idea in networking is routing, which is figuring out the best way for data to move between two or more computer network devices. The devices responsible for making these decisions are called routers. İt is a network device that connects different networks. İt works at 3rd layer Routers examine the destination address of incoming data packets and decide where to forward them based on routing tables. This paper offers a thorough review of various routing algorithm techniques and switching mechanism employed in computer networks and compare the results and find the best way to implement the 1*3 router Three output ports and one input port make up the router 1x3. Top-level architecture created in Verilog employing sub-modules such as FIFO, FSM, Synchronizer, and Register. Xilinx 14.5 is used to examine and verify the RTL design of routers. This research provides an extensive review of the latest technology in routing by combining traditional methods, modern approaches, and conventional algorithms.
Risk Management in Residential Projects
Authors: Keyur Patel  , Jayraj V Solanki  , Ankit Kumar S. Patel  , Hiral Kumar V Patel
Published: August 2024

The construction industry faces numerous risks, particularly in residential projects with significant complexity and scale of operations. Effective risk management in these projects is critical to ensuring successful outcomes. This study focuses on identifying, assessing, and mitigating risks associated with residential construction. The industry faces various technical, socio-political, commercial, organizational, resource, financial, and safety risks. The research aims to highlight the importance of systematic risk management practices, which include identifying potential risks, evaluating their impact, and implementing strategies to manage them. The study employs a comprehensive methodology, involving literature reviews, surveys, and data analysis, to understand the prevailing risk management practices and propose improvements. The findings emphasize the need for a proactive approach to risk management, integrating it into the early stages of project planning and execution. The study concludes that adopting robust risk management frameworks can significantly enhance project performance, reduce uncertainties, and ensure timely and within-budget project delivery.
Impact of Transition from Super Built-Up Area to Carpet Area Calculation on Real Estate Price in Gujarat
Authors: Meet P. Santoki  , Ankitkumar S. Patel  , Jayraj V. Solanki  , Ronakkumar N. Modi
Published: August 2024

This study explores the impact of transitioning from the super built-up area to carpet area calculation on real estate price in Gujarat, focusing on the cities of Ahmedabad and Rajkot. The shift aims to provide more transparent and precise property measurements, enhancing buyer confidence and market transparency. Using a mixed-methods approach, the research includes a comprehensive literature review and an extensive survey of stakeholders to assess the perceived effects on market dynamics, consumer preferences, and pricing trends. Findings indicate a significant consumer preference for carpet area calculations, with 72.5% of respondents favoring it over the super built-up method, and 58.8% acknowledging its influence on their investment decisions. The transition is expected to increase property prices, potentially stabilizing at ₹18000 to ₹19000 per sq. ft., and improve sector credibility. However, challenges related to market acceptance and practical implementation are noted. The study underscores the importance of regulatory frameworks and consumer education in facilitating this transition and optimizing its benefits for the real estate market in Gujarat​.
Assessing The Toxicity Of Heavy Metals And Potential Tolerance Of Common Bean (Phaseolus vulgaris) While Monitoring The Population Dynamics Of The Associated Rhizobia
Authors: Nasir Yasir , Umar Zubairu Darma
Published: August 2024

Microbially-assisted phytoremediation (MAP) is increasingly recognized as the feasible alternative for removing hazardous heavy metals (HMs) from contaminated environments.  However, the dynamics of rhizobial-plant interactions during phytoremediation remain unclear.  This study investigated the toxicity of some selected heavy metals (Cobalt, Nickel, and Manganese), the potential tolerance of Phaseolus vulgaris grown in the HMs-rich effluents, and the population dynamics of the associated Rhizobia within the Katsina metropolis.  After 80 samples of P. vulgaris collected from Lambun Sarki garden were exposed to 10 mL of 0.5-2g/L of Ni and Co and 5-20 g/L Mn, respectively, in mesocosms, and the plants treated with 10 mL HMs solutions daily, for three weeks.  Indices of HMs toxicity on seeds and plants (4 and 3, respectively) were monitored in all treatments.  Weekly rhizobial counts on Congo Red Yeast Extract Mannitol Agar (CRYEMA) were taken to monitor rhizobial population dynamics.  Pure isolates obtained after three iterations were identified biochemically.  One-way ANOVA was employed for statistical analyses using AnalyStat (version 1.6.50).  Generally, Ni exerts the highest toxicity, with Mn having less toxicity.  Average rhizobial counts increased weekly, with high counts obtained in Ni and Mn treatments. However, they did not differ significantly between weeks (p = 0.061). Thus, longer time intervals (>2 weeks) are required to observe significant shifts in population dynamics.  Moreover, HMs concentration did not affect the colony counts (p = 1.00).  Metabolism profile of the preliminarily identified Rhizobium sp. and Sinorrhizobium melliloti evidenced HMs removal and plant growth promotion ability.  The research demonstrated the phytoremediation ability of P. vulgaris and how rhizospheric population dynamics change during phytoremediation and contributed towards understanding HMs impact as environmental stressors on rhizospheric plant-microbe interactions.  Future research targeting the hyperaccumulation capacity of the plants and heavy metals tolerance of the identified rhizobia are recommended, as this may help in knowing the BCF, TF, and BAC of the plants as well as the tolerable amount of the heavy metals to the bacteria
Assessing the Antibacterial Properties of Aloe vera (Linn) and Aloe schweinfurthii (Baker) against some Plant Pathogenic Bacteria
Authors: Alejo Ayokunle Oluwaseun , Ajayi Ayodele Martins , Akinyele Benjamin Oluwole
Published: August 2024

Study’s Novelty/Excerpt

This study assesses antibacterial efficacy of Aloe vera and Aloe schweinfurthii leaf extracts against plant pathogenic bacteria, highlighting significant differences in effectiveness between aqueous and ethanolic extracts.
The findings reveal that A. schweinfurthii extracts, particularly the ethanolic form, demonstrate superior antibacterial activity compared to A. vera, with inhibition zones up to 14.06mm.
Additionally, the identification of diverse phytochemicals such as alkaloids, tannins, and flavonoids in the extracts underscores their potential as novel antibacterial agents for managing plant pathogenic bacteria.

Full Abstract
The study aimed to assess the effectiveness of Aloe vera and Aloe schweinfurthii leaf extracts against plant pathogenic bacteria.  Aqueous (cold and hot) and ethanolic extracts from both plants were tested on Xanthomonas axonopodis, Pseudomonas syringae, and Pseudomonas aeruginosa.  Results showed antibacterial properties in both extracts, with varying inhibition zones ranging from 0.01 to 14.06mm.  The most effective was the ethanolic extract from powdered A. schweinfurthii at 0.05g/ml, while hot water extracts from both species were the least effective.  Phytochemical screening revealed alkaloids, tannins, saponins, flavonoids, cardiac glycosides, phytates, and oxalates in both extracts.  The study concluded that A. schweinfurthii outperformed A. vera in managing the plant pathogenic bacteria, suggesting potential new antibacterial agents.
Characterization of Fungi Inducing Post-Harvest Deterioration and the Factors Predisposing Tomato Fruits to Fungal Induced Spoilage in Zaria, Nigeria
Authors: Dayok OLUKEMI , Whong C M Z , Abdullahi I O , Kashina B D
Published: August 2024

This study was carried out to characterize fungi-inducing post-harvest deterioration of tomato fruits and the factors predisposing the tomato fruits to fungal-induced spoilage in Zaria, Nigeria. A total of two hundred and twenty-five spoilt tomatoes of three different cultivars were collected using guided random selection (45 each) from five markets (Dakachi, Danmangaji, Sabon-gari, Samaru, and Basawa) in Zaria, Nigeria. The fungal isolates were isolated using the standard mycological method. The cultural and microscopic characterization of fungi isolated revealed eleven genera belonging to Fusarium, Phomopsis, Phoma, Cladosporium, Alternaria, Helminthosporium, Colletotrichum, Monilia, Curvularia, Rhizotonia, and Aspergillus. The total frequency and percentage occurrence ranged from 16(10.3%) to 42(26.%). The fungal isolate with the highest % frequency of occurrence was F. oxysporum with 23(14.7%), while the fungal isolate with the lowest frequency of occurrence was Curvularia eragrostidis with 3(1.9%). There were statistically significant differences in the mean number of occurrences among the fungal isolates (P = 0.003 < 0.05) and the markets (P = 0.0335 < 0.05). The total frequency and % occurrence of fungal isolates in tomato cultivars U T C, Ronita, and Roma VF ranged from 42(26.9) to 63(40.4%). There were statistically significant differences in the mean number of occurrences among the fungal isolates (p = 0.0000 < 0.05) and the tomato varieties (p = 0.0260 < 0.05). Tomato varieties, sorting, storage condition, packaging material, means of transportation, and nature of damage significantly affected tomato fungal-induced spoilage. Maintaining good sanitation practices in the field and during post-harvest handling of tomato fruits is crucial in minimizing the introduction and spread of fungi
Az Európai Unió megújuló energiaforrásainak szerepe a szén-dioxid-kibocsátás és az energiafüggőség csökkentésében
Authors: Bozsik Nándor , Tánczos Tamás , Bozsik Norbert
Published: August 2024

A megújuló energia egyre fontosabb szerepet játszik az Európai Unió klíma- és energiapolitikájában, illetve a fosszilis energiaforrások részleges pótlásában is meghatározóvá vált. Az orosz–ukrán háború fejleményei pedig még inkább szükségessé teszik a fokozott felhasználását, ha az EU csökkenteni akarja az orosz energiától való függőségét. A legtöbb uniós tagállam az elmúlt időszakban a megújuló energiaforrások alkalmazása felé mozdult el. Ezt jól tükrözi azok növekvő aránya az energiafelhasználásukban. A cikkben az EU-tagországok primerenergia-fogyasztását, valamint a megújuló és a nem megújuló energiaforrások kapcsolatát elemezzük. A Pearson-korrelációs számítás alapján az eredmények azt mutatják, hogy az Európai Unióban egyre inkább a megújulók váltják fel a fosszilis – elsősorban szén – tüzelőanyagokat. Ez egy fontos és pozitív folyamat, mivel a szén a legtöbb szén-dioxid kibocsátásáért felelős fosszilis energiahordozó. A kibocsátás csökkentését az Európai Unió a jövőben leginkább a gáz és a megújuló energiaforrások együttes és növekvő felhasználásával tudja elérni.
The Risk of Waterborne Enteric Viral Infection in Africa as Revealed Through Quantitative Microbial Exposure Analysis
Authors: Owoidihe M. Etukudo Nko S. Bassey , Enitan-Folami Abimbola
Published: August 2024

This study investigates the prevalence and sources of waterborne enteric viral infections in Africa, where poor access to safe water and sanitation facilities poses significant public health risks. The waterborne enteric virus has proven to be a biological hazard and contaminant in potable water, natural water, and wastewater systems. Thus, this research employs quantitative microbial exposure analysis (QMEA) to determine the likelihood of infection and identify the sources of viral contamination in water sources. This study found 105 articles, 12 reported 292 positive cases, and 1187 comprehensively reviewed and analyzed datasets. The analyzed articles were from six African countries: Morocco, Egypt, Uganda, Nigeria, Ghana, and South Africa. In all articles considered, the probability of infection and risk of illness of those who were subjected to the river and dam water via drinking, recreational, domestic, or irrigation activities were too high and exceeded the acceptable risk of 0.01% (10-4 infection/individual/year) proposed by WHO. Hepatitis A virus (HAV) with 13-30% mortality rates and Human adenovirus (HAdV) dominates the surface water in African countries. This study underscores the need for better water and sanitation facilities to mitigate the risk of waterborne viral infections and promote public health in Africa. Therefore, by highlighting the risks of waterborne enteric viral infections, the study calls for more targeted interventions to prevent the spread of these infections and improve health outcomes in African communities.
Spatiotemporal Variations of Rainfall Over Nigeria from 1971 to 2020
Authors: Daniel Nnodu Ifeanyi , Joshua Ibrahim Magaji
Published: August 2024

The impact of climate change on annual rainfall has received significant attention from scholars worldwide. Many studies have been conducted to demonstrate that changes in annual rainfall are becoming evident globally. This study focused on detecting trends in annual rainfall in six stations in Nigeria: Calabar, Lagos, Enugu, Abuja, Kano, and Maiduguri. Three different widely used nonparametric methods of Mann-Kendall, Innovative Trend Analysis, Sen’s Slope Estimation, and a Linear Trend Analysis method were used on time series data for each of the stations for 50 years (1971 to 2020) to detect trends and estimate the magnitudes in annual rainfall at a 5% significance level. Water availability is essential for agriculture, industry, irrigation, power generation, and other human activities. Therefore, the amount of rainfall received in an area is crucial in assessing water availability. This study analysed trend values of annual rainfall and found that the Innovative Trend Analysis (ITA) is more effective in detecting trends than the Mann-Kendall (MK) method. The results obtained from ITA, Sen’s Slope Estimation (SSE), and Linear Trend Analysis (LTA) showed good agreement. The Sen’s slope estimator determined the magnitudes of the trends. All stations except Abuja showed statistically significant increasing trends. The linear trend plot also indicated a decreasing trend for Abuja, while the other five stations had an increasing trend that ranged from 0.44 to 1.02 mm/year. This agrees well with global climate model estimates which predict that increasing trends will continue throughout the 21st century in most West African countries.
ESG Impact on Green Purchases: Côte d’Ivoire’s Retail Sector in the Digital Age
Authors: Massaran Coulibalyaicha , Liu Jingli
Published: August 2024

This study investigates the factors influencing green purchase behavior (GPB) among consumers in the retail sector of Cote d’Ivoire. Drawing on a sample of retailers, the study examines the impact of environmental, social, governance, and technological factors on consumers’ propensity to engage in environmentally sustainable purchasing practices. Data were collected through structured surveys from 520 respondents and analyzed using regression analysis to identify significant predictors of GPB. The findings reveal that environmental knowledge, concern, perceived risk, perceived usefulness, trust in retail brands, transparency in pricing, social media influencers, brand image, awareness of corporate social responsibility (CSR) initiatives, and digital technology significantly influence consumers’ green purchase behavior. The study contributes to the literature by providing empirical evidence specific to the retail sector of Cote d’Ivoire, highlighting the multifaceted nature of factors shaping GPB in the region. The implications of the findings for retailers and policymakers are discussed, along with recommendations for fostering sustainable consumption practices and addressing the limitations of the study. Future research directions are suggested to further advance our understanding of green purchase behavior in emerging markets like Cote d’Ivoire
Analysing Halal Integrity and Sustainability Nexus in an Emerging Halal Supply Chain Ecosystem (HSCE)
Authors: Shariff D. N. , Abdullah Dahlan , Bakar Azita Aboo , Shaharudin Mohd Rizaimy , Ngelambong Anderson
Published: August 2024

Global demand for halal food has grown substantially. In 2020, about a quarter of the world’s food trade comes from halal food sector, amounting to approximately USD 2 trillion. Over the past few decades, research on halal food has primarily focused on the demand side of the market economy, especially customer needs and satisfaction. Recently, researchers have begun to shift their attention to the supply side of the halal food industry, particularly exploring issues on halal integrity. Studies have revealed that the transportation and transiting sector poses a higher risk compared to manufacturing in establishing halal integrity assurance on halal products. This article analyses the factors that lead to halal integrity issues in the halal supply chain ecosystem based on the latest statistics, press releases, industrial reports, and recent research articles. The discussion concludes with some recommendations for improvement from the perspective of freight forwarders are provided. Along with other stakeholders, freight forwarding services play a crucial role in the supply chain ecosystem, acting as customers’ brokers, assisting in forwarding and clearing cargo. In the post-COVID-19 context, the need to re-evaluate and enhance the efficiency, competitiveness, and sustainability of the ecosystem is crucial due to the current global GDP shrinkage and trade wars across countries. Halal supply chain services are eco-friendly, preferred by customers, and producing higher gross social welfare, but these benefits come along with higher production costs compared to conventional supply chain services. Hence, policy incentives, along with other sustainability strategies, are fundamental for the development and advancement of the halal supply chain ecosystem.
16° Congreso Mundial de la Sociedad Internacional de Neuromodulación (INS 2024)
Authors: Cremaschi Fabián
Published: August 2024

Si bien en el congreso anterior de la INS en Barcelona se puso la vara muy alta, Vancouver consiguió superarla. Esto demuestra el crecimiento de esta sociedad científica y el entusiasmo y visión de sus dirigentes en un proceso de mejora continua en la promoción de esta moderna y pujante rama de la ciencia. Como resumen general de ese Congreso, podemos ratificar que Vancouver marcó un nuevo hito en la historia de los congresos mundiales de la INS por su calidad científica y especialmente por el ambiente de camaradería que no suele verse en otros ámbitos científicos, con la unión ideal de lo académico y lo social. Es por todo esto que invito a agendar el próximo congreso mundial del 9 al 14 de mayo en Lisboa, Portugal, que ya tiene su página web (https://2026.ins-congress.com/) para suscribirse al newsletter y recibir las últimas novedades del evento. Nos veremos pronto.
Testing lifetime of the product using new distribution in group acceptance sampling plan
Authors: Mahdy Mervat , Ahmed Basma , Aslam Muhammad
Published: August 2024

In this article, we investigate three modern probability models for lifetime random variables: elicitation inverse Rayleigh (EIR), generalized inverse weibull (GIW) and Weighted generalized inverse Weibull (WGIW). A group of acceptance sampling plans for EIR, GIW and WGIW distributions are developed. This is when the life test is truncated at a predetermined time. When the acceptance limit and group size are specified, as well as the consumer’s risk and test termination time, the minimal number of groups required to claim that the median life exceeds a particular value a0 with the consumer’s confidence level is obtained. In addition, the probabilities of acceptance values of the provided plan for the specified three modern distributions are presented. Also obtain the minimal ratios of the veritable median life a to the required median life a0 for the lot acceptance with producer’s risk of 0.05. Some comparisons are made between the results for the ordinary sampling and group sampling plans.
Bernoulli selection processes and power contractions in strategic operations
Authors: Artikis Constantinos T. , Artikis Panagiotis T.
Published: August 2024

Bernoulli selection processes and power contractions constitute two classes of probabilistic concepts of theoretical and practical importance. The paper’s theoretical contribution consists of the development of a characterization of power contractions through the use of Bernoulli selection processes. Moreover, the interpretations in risk management, stochastic discounting modelling, and investment evaluation of Bernoulli selection processes for power contractions constitute the practical contribution. In consequence, the presence of proactivity in these disciplines makes quite clear that the results of the paper facilitate the implementations of strategic thinking, decision making, and management operations.
Using Bayesian and classical methods to estimation parameter for inverse Pareto distribution under randomly censored data
Authors: Al-Bojmal Mohammed Abdul Ridha , Imany-Nabiyyi Ramin
Published: August 2024

In this article, we will use randomly censored data and to discuss both Bayesian and classical methods to the estimating parameters the inverse Pareto distribution (IPD). We derive the Bayes and maximum likelihood methods to obtain the parameters estimators. Asymptotic confidence intervals for the parameters are computed by using the observed Fisher information matrix. Using gamma informative priors, Bayes estimators for the parameters are derived under the (LINEX) loss function. For Bayesian estimates, the method of Markov Chain Monte Carlo (MCMC) is employed. In addition, using (MCMC) techniques, credible intervals with the largest posterior density for the parameters are generated. A simulation study compares how well each estimators performs. Lastly, two real datasets are taken into consideration for demonstration.
Exploring the efficiency : A comprehensive analysis of machine learning algorithms in WEKA software
Authors: Kamble Nikhil , Phatak Atharva , Joshi Aaryan , Adhao Rahul , Pachghare Vinod
Published: August 2024

In data science, choosing the right machine learning algorithms is essential for getting the best possible predicted performance. To investigate the effectiveness of different machine learning algorithms, a thorough analysis is conducted within the WEKA software framework. A suitable venue for this investigation is WEKA, a popular platform for machine learning and data mining activities that offers a wide range of algorithms. Our study compares and assesses the effectiveness of several machine learning algorithms on various datasets, taking into account variables like scalability, accuracy, and computing economy. Using a strict approach, analyses for patterns and trends provide insight into the advantages and disadvantages of particular algorithms in different contexts. The research attempted to utilize many machine learning algorithms to determine the accuracy of the dataset after deleting particular fields.
Implementing LSTM models for forecasting gold prices and analyzing volatility
Authors: Bhatnagar Vaibhav , Saudagar Abdul Khader Jilani , Poonia Ramesh Chandra
Published: August 2024

Stochastic volatility analysis is a sophisticated method for forecasting gold prices, accounting for the fact that volatility which is the degree of variation in gold prices is not constant over time but rather fluctuates unpredictably. This approach can be particularly effective because gold prices are often subject to sudden and unpredictable changes due to various economic, political, and market factors. Different statistical and machine learning models are available to predict the Gold price such as ARIMA, GARCH, SVM, Random Forest, GRU and CNN. In this paper LSTM model is implemented to forecast the Gold Price on the basis of 10 years of data from January 2013 to July 2023. Ater the implementation the value of Mean Absolute Error obtained is 1775.6294. In the future, this model can be extended to different versions of LSTM.
Chemical Composition and Antifungal Properties of Guava Leaf Extract (Psidium guajava L.) Against Pythium aphanidermatum, Chinese Kale Damping-Off Disease Pathogen
Authors: Maneechai Suthira , Siphim Thawanrat , Srisawad Nattaya , Sutthisa Waraporn
Published: August 2024

Damping-off disease represents a considerable hazard to the cultivation of Chinese kale (Brassica oleracea var. alboglabra), leading to seedling death and notable economic repercussions. This study explores the efficacy of guava leaf extracts, obtained through different extraction solvents, against Pythium aphanidermatum, a significant pathogen causing damping-off disease in Chinese kale (Pak Kha-naa) cultivation in Thailand. Guava leaf extract was obtained using different solvents: hexane, ethyl acetate and ethanol. Subsequently, the extract was diluted to concentrations of 1,000, 1,500 and 3,000 ppm to assessment the inhibitory effects on P. aphanidermatum utilizing the poisoned plate technique. Results revealed that only ethanol-extracted guava leaf extract at 3,000 ppm exhibited significant inhibition of P. aphanidermatum, achieving complete inhibition. At 1,500 ppm, ethanol-extracted guava leaf extract demonstrated inhibition comparable to carbendazim. Greenhouse trials further confirmed the efficacy of pre-planting seeds coating with ethanolic guava leaf extract at concentrations of 1,500 and 3,000 ppm in reducing damping-off disease incidence in Chinese kale.  Chemical analysis of guava extract with GC-MS revealed the presence of 58 compounds in the hexane extract, with copaene, β-caryophyllene, calamenene and caryophyllene oxide being major constituents. The ethyl acetate extract contained 53 compounds, including β-caryophyllene and squalene, while caryophyllene was a predominant component among the 40 chemicals identified in the ethanol extract. Methylparaben was exclusively present in the ethanol extract, showcasing inhibitory effects on the fungus. This research sheds light on the potential of guava leaf extracts as a sustainable solution for disease management in Chinese kale cultivation.
HIGHLIGHTSEthanolic extract of guava leaf at 3,000 ppm completely inhibits the pathogen Pythium aphanidermatum. Seed coated with ethanol-extracted guava leaf extract at concentrations of 1,500 and 3,000 ppm reduced damping-off disease incidence in Chinese kale in greenhouse trials. Chemical analysis via GC-MS revealed diverse compounds in guava leaf extracts, with notable constituents such as copaene, β-caryophyllene, calamenene and caryophyllene oxide in the hexane extract, β-caryophyllene and squalene in the ethyl acetate extract and caryophyllene predominance in the ethanol extract. Identification of methylparaben exclusively in the ethanol extract suggests its potential inhibitory effects on the fungus. This study underscores the promising potential of guava leaf extracts as a sustainable solution for disease management in Chinese kale cultivation, offering insights into alternative methods for controlling damping-off disease.
GRAPHICAL ABSTRACT
ACESSO À ÁGUA: EFICIÊNCIA DE UM PROGRAMA DE SANEAMENTO RURAL NA ALOCAÇÃO DE RECURSOS FINANCEIROS NUMA COMUNIDADE DE PICOS-PI/Access to Water: efficiency of a rural sanitation program in allocation of financial resources in a Community of Picos-PI
Authors: Araújo Wesley Fernandes , Gomes Jaíra Maria Alcobaça , Carvalho José Natanael Fontenele de
Published: August 2024

Objetivou-se verificar a eficiência na alocação de recursos financeiros para investimentos na realização de obras de acesso à água em Mirolândia, Picos-PI, pelo Programa de Saúde e Saneamento Básico na Área Rural do Piauí (PROSAR-PI/PIAUÍ-II). Tal programa almejava a instalação e/ou melhorias de redes de água e de esgoto em áreas rurais, além de implementar a gestão compartilhada do saneamento entre comunidades beneficiadas por intermédio do Sistema Integrado de Saneamento Rural do Piauí, visando a garantir a continuidade dos serviços. As informações são oriundas de pesquisa documental e entrevista com o Diretor de Planejamentos do PROSAR-PI. Os resultados indicaram a cobertura total de acesso à água dos domicílios, alcançada após atrasos na elaboração do projeto e na execução das obras. Houve uma elevação no tempo e os valores pagos em relação ao que havia sido contratado e as razões para isso foram: a realização de novo levantamento que constatou o aumento de residências, igualmente beneficiadas; readequações nas obras quando da identificação de irregularidades; e em virtude de uma comunidade vizinha que dependia do sistema de abastecimento de água existente anteriormente e com o novo projeto, ficaria desabastecida. Todavia, constatou-se que programa foi eficiente, tendo em vista que atendeu a toda a demanda, buscando sempre solucionar as falhas detectadas para garantir a cobertura e o funcionamento dos serviços prestados a longo prazo.
GOVERNANÇA COMUNITÁRIA E BENS NATURAIS: O CASO DA RESERVA EXTRATIVISTA DO CIRIACO – MA/Community governance and natural assets: the case of the Ciriaco Extractive Reserve – MA
Authors: Neves dos Santos Lucélia , Pizzio Alex , Rodrigues Waldecy
Published: August 2024

Este artigo tem por objetivo verificar quais são as estratégias de governança comunitária estabelecidas para a conservação dos bens naturais de uso comum pelos comunitários da Reserva Extrativista (Resex) do Ciriaco, a partir dos oito princípios básicos de Ostrom para se alcançar instituições sólidas. Foi realizada uma pesquisa documental, que analisou os projetos de desenvolvimento da Resex. Ademais, foram aplicados questionários aos Comunitários e aos membros do Conselho Deliberativo da Resex do Ciriaco. Os resultados mostraram que um único modelo de governança comunitária para os bens naturais não é suficiente para promover o equilíbrio e a durabilidade das instituições e a sustentabilidade socioambiental e cultural, essenciais em uma Reserva Extrativista. A construção de uma agenda de pesquisa contribuiria para ampliar e aprofundar pontos da governança comunitária que requerem maior clareza, como: ampliar os princípios que indicam a prosperidade e a sustentabilidade de Reservas Extrativistas ao longo do tempo, buscando atender às demandas regionais (sociais, ambientais e culturais) e às especificidades de cada bioma.
Abstract: This paper aims to verify the community governance strategies established for the conservation of common-use natural resources by the community members of the Ciriaco Extractive Reserve (Resex), based on Ostrom's eight basic principles for achieving robust institutions. Documentary research was conducted, analyzing the development projects of the Resex. Additionally, questionnaires were administered to community members and members of the Deliberative Council of the Ciriaco Resex. The results showed that a single model of community governance for natural resources is not sufficient to promote the balance and durability of institutions and socio-environmental and cultural sustainability, which are essential in an Extractive Reserve. Building a research agenda would contribute to expanding and deepening aspects of community governance that require greater clarity, such as expanding the principles that indicate the prosperity and sustainability of Extractive Reserves over time, seeking to meet regional (social, environmental, and cultural) demands and the specificities of each biome.
PESQUISA DE MERCADO DE CARRAPATICIDAS COMERCIAIS PARA TRATAMENTO DE BOVINOS NOS MUNICÍPIOS DE PEROBAL, UMUARAMA E XAMBRÊ - PARANÁ, BRASIL/Market research of commercial ticks for treatment of cattle in the municipalities of Perobal, Umuarama and Xambrê – Paraná, Brazil
Authors: Miloca Leo Mathias , De Almeida Machado Mariane , Miguel Teixeira Tarcísio , Cristriani Gazim Zilda
Published: August 2024

Este artigo apresenta os resultados da pesquisa de mercado de produtos carrapaticidas para controle do Rhipicephalus (Boophilus) microplus em bovinos, ofertados em estabelecimentos agropecuários varejistas nos municípios de Perobal, Umuarama e Xambrê-Paraná, Brasil. A pesquisa objetivou levantar os preços e informações técnicas dos carrapaticidas disponíveis nos estabelecimentos agropecuários, bem como os produtos mais vendidos e indicados pelas agropecuárias. Refere-se a uma pesquisa exploratória, por meio de levantamento de dados. Foram pesquisadas 28 agropecuárias varejistas dos municípios. Encontrados 85 tipos de produtos em 136 apresentações, 5 formas de aplicação e identificados 21 princípios ativos. Há grande variação de preços, chegando a 144.400% o hiato entre os produtos de menor e maior preço. O custo de aplicação a cada 100 kg de peso animal tem variação de 24.313% entre os produtos de menor e maior custo. O custo médio anual de aplicação de produto por tratamento é US$7,398, impondo estimativa de custo anual em US$1,54 milhão nos municípios pesquisados, US$ US$62,305 milhões no Paraná e US$1,733 bilhão no Brasil para o controle de carrapatos em bovinos, impactando na economia rural.
БЛОКТЫ ТАСТЫ КЕСУГЕ ЖӘНЕ ӨҢДЕУГЕ АРНАЛҒАН ТЕРМИЯЛЫҚ ҚҰРАЛДАРДЫ ТАЛДАУ
Authors: А. З. Букаева  , В. В. Поветкин  , А. У. Табылов  , Г. С. Мамбеталиева  , К. С. Рзаева
Published: August 2024

Мақала берік тау жыныстарынан, әсіресе граниттерден қапталған тасты өндіру процесін терең талдау болып табылады. Ол тек тау-кен технологиясын ғана емес, сонымен қатар блокты тасты өңдеу, тегістеу және алу процесінде тау жыныстарын тиімді жою үшін қолданылатын жаңа термиялық құралдардың дизайнын да қарастырады. Блокты тасты өңдеудің және өндірудің ұтымды әдістері және блокты тасты өңдеу және өндіру кезінде қатты тау жыныстарын бұзуға арналған жылу құралдарының дизайны сипатталған. Мұндай құрылымдарды жасау үшін қолданылатын әдістер мен құралдар, сондай-ақ оларды өндірісте тиімді құралға айналдыратын жақсартылған энергия сипаттамалары егжей-тегжейлі қарастырылады. Бұл әдіс тау жыныстарындағы саңылаулардың дәлірек және тиімді қалыптасуын арттыру арқылы, тау-кен процесінің жалпы өнімділігін жақсартуға көмектеседі, сондықтан блокты тасты өндіру процесін көтеру мүмкіндіктерді береді. Бұл аспект, әсіресе, материалды өңдеудің жоғары өнімділігі мен дәлдігін қажет ететін беткі тасты өндіру саласында өте маңызды. Сонымен қатар, мақалада ұсынылған талдау мен әзірлемелер тау жыныстарын өндіру және өңдеу процесінің тиімділігін едәуір арттыра алады, бұл саланың дамуына және өндірілетін өнімнің сапасын арттыруға ықпал етеді. Жұмыс органы, тас кесетін машинаның механикаландырылған агрегаты ретінде жоғары энергетикалық сипаттамалары бар жылу құралдарының жаңа конструкциялары дайындалып жасалды. Кілтті сөздер: тау жынысы, бензин-ауа термоқұралы, тас кескіш машина, отын компоненттері, өнімділік.
Percepção de gestores estratégicos sobre elementos da transformação digital para a criação de valor em serviços de call center: estudo de caso múltiplo [Dissertaçao Mestrado]
Authors:   Instituto de Educação Superior de Brasília, Rosemeire P. Bonfim
Published: August 2024

Esta pesquisa analisou a influência de elementos da transformação digital na criação de valor em serviços de call center, na percepção de seus gestores estratégicos. Identificou as razões que levaram as empresas a implantarem elementos da transformação digital; identificou o processo de implantação da digitalização do atendimento ao cliente, tendo como base as mídias sociais, mobile, big data, inteligência artificial e computação em nuvem; identificou os elementos da transformação digital no âmbito dos call centers; verificou os resultados alcançados a partir da adoção de elementos da transformação digital no call center; identificou os principais desafios concernentes à operação dos call centers e como a transformação digital ajuda a mitigar ou resolver esses desafios. Além disso, abordou aspectos ligados ao home office para atender a necessidade de distanciamento social provocado pela pandemia de COVID-19. Foi realizada uma pesquisa qualitativa descritiva, um estudo de caso múltiplo com entrevista aos gestores estratégicos de empresas que possuem call center para levantar percepções sobre o tema. O instrumento de coleta foi um roteiro de entrevista. Como limitação, por se tratar de um estudo de caso múltiplo, os dados não foram generalizados. Este trabalho espera contribuir especialmente com as empresas que possuem serviços de call center, mostrando como a aplicação de elementos da transformação digital cria valor aos serviços. Além disso, este trabalho espera contribuir com a academia, visto que foram identificadas lacunas de produção científica sobre o tema.