bluuebunny/crossref_metadata_2025 huggingface dataset:
Contribuições de uma proposta didática baseada na Resolução de Problemas para mobilização de conceitos científicos na formação de licenciandos em Química
Authors: Barbosa de Oliveira Regina Célia , Nascimento de Souza Agilson , Barbosa de Oliveira Aurelice
Published: September 2024

É aparentemente comum observar-se práticas de ensino predominantemente conteudistas, que dificultam a aproximação dos conteúdos científicos ao contexto dos(as) estudantes que, possivelmente, são reflexos de modelos de formação docente permeados por influências acadêmicas recebidas acriticamente, deixando claro a necessidade de mudanças no processo de formação docente. Em face dessa situação, nos propomos a analisar as contribuições da resolução de problemas na formação de licenciandos em Química. Para direcionarmos nossas ações, utilizamos a Resolução de Problemas em situações didático-pedagógicas e realizamos análise documental de materiais produzidos pelos participantes enquanto trilhavam caminhos para resolução de um problema, utilizando análise de conteúdo. O estudo evidenciou à significação de conceitos científicos pela articulação entre o conhecimento científico e implicações sociais fomentada por uma situação-problema, mobilização de atitudes com respeito às implicações sociais da ciência durante o processo de resolução do problema e criticidade dos(as) licenciandos(as) quanto ao uso inapropriado de conhecimento científico.
SOCIALIZATION OF PRODUCT BRANDING AS AN EFFORT TO INCREASE ENTREPRENEURIAL INTEREST AMONG HOUSEWIVES OF NGINDEN JANGKUNGAN VILLAGE
Authors: Harya Gyska Indah , Rusyda Ahmad Naufal , Pramesti Anselma Abistha , Puspitasari Dian , Puspitasari Dian , Gifani Jenny Amelia
Published: September 2024

Product branding provides various potentials in increasing sales value so that it can attract consumers, product branding can be developed in MSMEs which play an important role in national economic growth. MSMEs are also considered as one of the solutions for people who do not have jobs or do not want to work in a company. One of them is in the Nginden Jangkungan sub-district which still does not have an adequate understanding of product branding, so efforts are needed to increase awareness and understanding, one of which is through socialization. With the socialization related to product branding, it is expected to increase product competitiveness, attract consumer attention and increase income.
Optimizing Agricultural Mechanization to Enhance The Efficiency and Productivity of Farming In Indonesia: A Review
Authors: Wijayanto Budi , Puspitojati Endah
Published: September 2024

Agricultural mechanization has emerged as a cornerstone of modernizing the agricultural sector in Indonesia, playing a pivotal role in enhancing productivity and efficiency. The growing population and the necessity for increased agricultural output have driven the adoption of mechanization to overcome challenges such as labor shortages and the adverse effects of climate anomalies. The introduction of agricultural equipment follows a selective principle by considering the local area's socioeconomic conditions. Future agricultural mechanization utilizes technologies based on weather analysis, soil sensor information, and satellite and drone imaging that can increase agricultural productivity. Precision agriculture innovation to improve the accuracy of farm business management is carried out by utilizing sensor systems, drones, remote sensing, digital technology, and the Internet of Things (IoT) to collect, process, and present data that smart farming systems will use. Integrated information system innovations for the supply chain are designed to bridge farmers, distributors, markets, and end buyers by utilizing mobile applications. The traditional to modern transition process and the implementation of smart digital farming require mentoring and field learning in the agricultural process from upstream to downstream. This review provides a comprehensive overview of the development, challenges, opportunities, and prospects of agricultural mechanization in Indonesia, offering insights into how these efforts can support the country's economic growth and food security. Materials were prepared from various sources, including development planning documentation program reports, evaluation, and critical analysis of different research results.
Differentiation of resultants and common multiple roots of polynomials
Authors: Lebedev A. V. , Trubnikov Yu. V. , Chernyavsky M. M.
Published: September 2024

In the article it is proven that once polynomials f and g possess a common root w of multiplicity s for f and multiplicity p for g, the Taylor series expansion for their resultant R = R (f , g)(g , b) in variables b (coefficients g) starts with the summand of order s, and the Taylor series expansion for R = R (f , g)(g , b) in variables a (coefficients f) starts with the summand of order p; and the explicit formulas for the corresponding summands of the Taylor series are obtained. Based on this, a number of results linking higher derivatives of resultants and multiple common roots of polynomials, which differ in ideas from the well-known ones, are obtained.
Viscometric studies of heavy oil in the presence of compositions consisting of amphiphilic compounds and organic solvents
Authors: Yakavets N. V. , Krut’ko N. P. , Luksha O. V. , Shkadretsova V. G.
Published: September 2024

The chemical composition of high-viscosity heavy oil has been studied by IR spectroscopy and X-ray fluorescence spectrometry. It is found that characteristic absorption bands are available and characterize aliphatic structures and aromatic cycles, sulfur- and organophosphorus compounds, and the presence of compounds containing heteroatoms P, V, Ca, Pd, Ni, Ru, Mo, Fe, Cu and Zn in its composition is found. The method of rotational viscometry has established the Newtonian nature of the oil flow in the studied range of the velocity up to 300 s–1. At the same time, according to the densitometry results (ρ = 0.954 g/cm3 ), studied heavy oil belongs to the bituminous type characterized by a complex rheological behavior under long- and high-term deformation conditions. In order to regulate the studied oil viscosity properties, composite additives based on amphiphilic reagents of cationic and amphoteric type and organic solvents have been developed, their influence on dynamic and kinematic viscosity has been examined. It has been established that compositions with surfactants simultaneously containing a large amount of amino and phosphate groups dissolved in a non-polar aromatic solvent (toluene) or an organic mixture (catalytic reforming gasoline) have a maximum modifying effect of the colloidal structure of bituminous oil. The interaction of functional groups of amphiphilic reagents with oil heteroatoms leads to the dispersion of resinous-asphaltene substances, a decrease in the structural and mechanical strength of the system, an increase in the molecular mobility of aggregates, which results in improving the investigated oil quality and viscosity characteristics by 7.0 and 12.6 % according to the composition efficiency index.
Preparing kaolinite nanotubes and their catalytic activation by acid treatment
Authors: Sidorenko A. Yu. , Yakubov Y. Yu. , Agabekov V. E. , Mamatkodirov B. D. , Sviridova T. V. , Ibragimov A. B.
Published: September 2024

Aluminosilicate nanotubes (ANT) with a length of 600–1000 nm and a diameter of 15–25 nm were obtained by successive intercalation of kaolin with dimethyl sulfoxide and methanol followed by treatment with a cetyltrimethylammonium chloride solution. It is shown for the first time that the treatment of ANT with a mixture of H2SO4 –H2O2 leads to removing organic impurities from them and appearing catalytic activity in the α-pinene epoxide isomerization, the products of whicn are campholenic (41.4 %) and iso-campholenic (22.7 %) aldehydes in cyclohexane and trans-carveol (up to 56.0 %) in dimethyl sulfoxide.
Energy characteristics of the vapor-gas shell formation stage during electrolyte-plasma treatment
Authors: Korolyov A. Yu. , Tomilo V. A. , Niss V. S.
Published: September 2024

The article presents the results on energy characteristics and the thermophysical state in the vapor-gas shell formation stage during electrolyte-plasma treatment. The vapor-gas shell formation stage is characterized by intense heating of the anode layer, a transition to undeveloped bubble boiling with high heat release capacity, boiling crisis emergence, and by a transition to the film mode with low heat release capacity. At the same time, a traditional electrochemical process occurs on the anode, which is accompanied by dissolving the surface layer. Dependences characterizing the influence of electrolyte-plasma treatment parameters on the specific power and specific energy of the vapor-gas shell formation stage are established. The obtained results allow optimizing the parameters of new effective processes of electrolyte-plasma treatment in controlled pulse modes, at which both electrochemical (vapor-gas shell formation) and electrolyte-plasma stages are realized within one pulse of millisecond duration.
Fibrous anion exchanger with ternary amino groups as a component of the substrate for plants growing
Authors: Nesteronok P. V. , Shachenkova L. N. , Vansovich N. V. , Soldatov V. S. , Kоsandrovich E. G. , Yezubets H. P.
Published: September 2024

A set of studies necessary to determine the suitability of a fibrous anion exchanger with ternary amino groups based on industrial polyacrylonitrile fiber Nitron C as a component of ion substrates was carried out. A laboratory-prepared ion exchanger sample had a working exchange capacity equal to 0.9 meq/g for the nitrate anion, which limits the biological productivity of the substrate for growing plants, in the physiological pH range = 5.5–7.5 and the concentration of the equilibrium nutrient solution is 0.02 eq/l. This capacity is at the level of the best granular ion exchangers and significantly exceeds the capacity of the previously used fibrous ion exchangers for growing plants in zero gravity conditions on space stations in 1970–1994 (Mir, Soyuz TM-10 – TM-17). The synthesized ion exchanger is a polyampholyte and contains three types of ion exchange groups, has high hydrophilicity and mechanical properties that allow it to be processed into textiles and used for any purpose, in which fibrous ion exchangers can be used (air and water purification, human protection means, etc.).
Influence of variable valence metal oxides on physico-chemical and antibacterial properties of semi-coated glazes
Authors: Levitskii I. A. , Dyadenko M. V. , Kucherova D. V.
Published: September 2024

The paper presents the results of studies on the production of semi-coated glazes with antibacterial activity by introducing variable valence oxides CeO2, WO3, Bi2O3, Fe2O3, MnO2 and MoO3 into their composition. The raw polycomponent compositions were comprised of aluminosilicate multi-calcium glass frit, dolomite powder, feldspar, alumina, quartz sand, wet-enriched kaolin and refractory clay. The coatings were obtained by single firing on a ceramic-based porcelain stoneware at a temperature of 1 200 ± 5 °C in a high-speed mode for 60 ± 2 minutes. The study focused on the processes of glaze formation of coatings and the influence of the components of glaze charges on decorative and aesthetic characteristics of coatings (color, texture, gloss and whiteness). Parameters of physical and chemical properties were determined in accordance with the existing specification for the products, i. e. temperature coefficient of linear expansion, heat resistance, chemical resistance, microhardness, frost resistance, wear resistance, etc. Antibacterial activity of the coatings towards Escherichia coli ATCC 8739 and Staphylococcus aureus ATCC 6538 test strains was studied.
Effect of diet-induced obesity and non-drug options of its correction on the functional and morphological liver characteristics in female Wistar rats
Authors: Basalai A. A. , Mityukova T. A. , Kuznetsova T. E. , Chudilovskaya K. N. , Poluliakh O. Y. , Kastsiuchenka M. S. , Shcherbakov Y. V. , Hubkin S. V.
Published: September 2024

A nonalcoholic fatty liver disease is one of the unfavorable consequences of obesity. However, experimental studies on the mechanisms of this pathology development are being carried out mainly on male rodents, and the data on the development of fatty hepatosis in females are insufficient.

The aim of the study was to investigate the effect of diet-induced obesity and non-drug options for its correction on the morphological liver characteristics and liver metabolic parameters in female Wistar rats. Experiments were conducted on sexually mature female Wistar rats and included the study of morphological and biochemical parameters of the liver functional state in animals kept on standard diet (StD, 16 weeks), on a high-calorie diet (HCD, 16 weeks) when switching to a standard diet (HCD/StD, 8/8 weeks), when the physical activity in the form of treadmill running was included (StD + running, HCD + running and HCD/StD + running, 8/8 weeks).

Long-term use of HCD in female rats caused visceral obesity, liver fatty dystrophy with disruption of organ histoarchitectonics, shifts in hepatic metabolism and increased lipid peroxidation. Correction of diet-induced obesity by switching to StD led to a complete or partial normalization of the studied indices. In the “HCD + running” group, metabolic disorders are often more pronounced than in the “HCD” group. The transition to HCD/StD +  running promoted the most complete restoration of metabolism and histostructure of the liver with regeneration signs of the organ.

Thus, an optimal correction of visceral obesity, fatty liver dystrophy and its metabolism is impossible without diet normalization in female Wistar rats. An additional regenerating effect with respect to the liver histostructure is achieved with a combined variant of correction ‒ transition to a balanced diet and moderate physical activity.
Non-invasive assessment of the dynamics of change in the vascular bed in the buccal autograph during treatment of extended urethral strictures
Authors: Strotsky A. V. , Obrazkov K. O. , Yasiukaits D. R.
Published: September 2024

The male urethral stricture disease treatment despite all successful achievements and treatment options still remains one of the most actual and complex problems of modern urology. The presence of prolonged urethral strictures complicated with such factors as expressed scared deformation, infection, fistulae, previous unsuccessful urethral interventions, total urethral obliteration require the use of two- or multistage operations. In the light of recent times, the improvement methods dedicated to buccal mucosa graft adaptation assessment and autotransplant microvascularity evaluation are very relevant nowadays. In this study we made an attempt to estimate the dermatoscopy role in objective assessment of buccal mucosa graft microvascular network after two staged substitutive urethroplasty.

The analysis of graft microphotos made in different time periods after urethroplasty allows us to define the main thing. In our point of view, the absence of evaluation changes after 90–120 postoperative days allows us to estimate a correct time for the second stage of urethroplasty-tubularization. stages of microvasculature evolution.

Considering the statement that microvasculature evolution is the evolution of its graft, we think that the correct research direction is to study microangiogenesis stimulation methods.
Comparative analysis of the state of peri-implantation tissues after immediate and delayed implantation
Authors: Rubnikovich S. P. , Denisova Yu. L. , Bogdan G. V.
Published: September 2024

The state of peri-implantation tissues was analyzed according to cone-beam computed tomography. A modified version of the alveolar index (AIm) is proposed to assess changes in the height of the alveolar ridge in the absence of a tooth and the presence of an implant. It was found that delayed implantation is characterized by more favorable long-term results in comparison with direct implantation.
Liposome-encapsulated dextrazide modifies spleen extracellular matrix composition in mice with chronic BCG-induced inflammation
Authors: Kim L. B. , Putyatina A. N. , Russkikh G. S. , Troitskij A. V.
Published: September 2024

Fibrosis of parenchymal organs is a common complication of tuberculosis. In a model of BCG-induced inflammation in mice, changes in the metabolism of the extracellular matrix (ECM) of the spleen were demonstrated with the introduction of a liposome-encapsulated dextrazide (LEDZ) containing isoniazid and oxidized dextran.

The mice were divided into 4 groups: 1 – intact animals; 2 – infected mice after a single intravenous injection of BCG vaccine. 6 mo after infection, a solution of LEDZ was administered intraperitoneally to mice of group 3 for 3 mo, and inhaled to mice of group 4. Group 2 mice showed the signs of pronounced spleen fibrosis (increased content of hyaluronan, hydroxyproline fractions) with activation of hyaluronidases, matrix metalloproteinases (MMP), α2-macroglobulin and an increased content of tissue inhibitors of MMP (TIMP-1 and TIMP-2) with respect to group 1 data. In group 3, changesin the structure of proteoglycans were noted (an increase in the content of uronic acids and galactose), a decrease in the content of hyaluronan and free hydroxyproline, an increase in the activity of hyaluronidases. The MMP activity and the TIMP content corresponded to the data of group 2. In group 4, the content of uronic acids and galactose in proteoglycans also increased, but peptide-bound hydroxyproline decreased and the hyaluronan content more noticeably decreased. The activity of all enzymes regulating the ECM metabolism reduced with respect to the data of group 2.

Thus, intraperitoneal administration of LEDZ to infected mice led to activating hyaluronidases, changing the structure of proteoglycans, and decreasing the free hydroxyproline content. Inhalation administration of LEDZ, along with changes in the structure of proteoglycans, reduced the activity of MMP, hyaluronidases, α2-macroglobulin, the content of TIMP-1 and TIMP-2, peptide-bound hydroxyproline. The antifibrotic effect of LEDZ with inhalation administration was manifested in a decrease in peptide-bound hydroxyproline and in a more significant decrease in hyaluronan compared with intraperitoneal administration.

Thus, intraperitoneal administration of LEDZ to infected mice led to activating hyaluronidases, changing the structure of proteoglycans, and decreasing the free hydroxyproline content. Inhalation administration of LEDZ, along with changes in the structure of proteoglycans, reduced the activity of MMP, hyaluronidases, α2-macroglobulin, the content of TIMP-1 and TIMP-2, peptide-bound hydroxyproline. The antifibrotic effect of LEDZ with inhalation administration was manifested in a decrease in peptide-bound hydroxyproline and in a more significant decrease in hyaluronan compared with intraperitoneal administration.
Changes in biochemical blood indicators in primary liver cancer associated with viruses
Authors: Kuzniatsou A. E. , Tsyrkunov V. M. , Ershova M. V. , Parai I. L.
Published: September 2024

Currently, about million new cases of liver cancer (LC) are being registered annually in the world, causing death in 85 % of patients.

The purpose of the study is to establish the features of changes in biochemical blood parameters in RP against the background of persistence of DNA/RNA viruses.

Patients (n  =  247) with morphologically established liver cancer, hepatitis and healthy individuals were examined. The subject of research was the biochemical and molecular biological parameters of DNA/RNA viruses. It was established that the nature of biochemical changes and disorders in patients with liver cancer indicates a simultaneous violation of most physiological functions of parenchymal organs, in which syndromes of cytolysis, cholestasis, immune and autoimmune disorders are simultaneously formed, the main role in which belongs to infectious (DNA/RNA viruses) and oncological processes. The most important biochemical markers in liver cancer are enzymes (AST, ALT, ALP, LDH, alpha-amylase), bilirubin, creatinine, albumin, triglycerides, GGTP, microelements (biogenic – magnesium, phosphorus, calcium). Among the viruses detected during liver cancer, the leading role belongs to viruses verified in tumor tissue, the presence of which causes persistent biochemical changes: VEB and HHV6.
Morphological variability of Cyprinus Carpio Linnaeus, 1758 in water bodies of the Balkash-Alakol basin
Authors:   Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Kazakhstan, Barakov R. ,   Scientific and Production Center of Fishery, 89a Suyunbay Ave., Almaty, 050016, Kazakhstan, Sharakhmatov S. ,   Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Kazakhstan, Isbekov К. ,   Scientific and Production Center of Fishery, 89a Suyunbay Ave., Almaty, 050016, Kazakhstan, Nurtazin S. ,   Al-Farabi Kazakh National University, 71 Al-Farabi Ave., Almaty, 050040, Kazakhstan
Published: September 2024

The article presents the results of investigating the morphological variability of carp (Cyprinus carpio Linnaeus, 1758) in three large reservoirs of the Balkash-Alakol Basin – Lake Balkash, Lake Alakol, and Kapshagay Reservoir. Morphological differences in several features (counting and plasticity) were found in three carp samples. The study included the examination of 24 plastic and 14 counting features. The method of digital image processing (Morpho J) was applied to analyze the differences of the target fish species specimens by body shape. The application of the principal component analysis (PCA) method allowed determining the main loadings on the studied morphological traits of carp. The statistically reliable differences revealed allow to confirm the formation of morphological changes in carp caused by the duration of adaptive radiation, environmental factors of water bodies and annual artificial stocking of young fish.
O Impacto das Tecnologias de Inteligência Artificial na Educação: Um Estudo de Caso em Escolas Brasileiras
Authors: Nunes Dulcelene Oliveira , Rocha Ângela Maria de Oliveira Silva , Santana Deusilete Peres , Weiler Marianny Ferreira Simon Barbosa Lopes , Matos Lucenir Francisca de Sousa , Tedesco Gracieli Alves de Souza
Published: September 2024

Este estudo investiga o impacto das tecnologias de inteligência artificial (IA) na educação, com foco em escolas brasileiras. Utilizando um estudo de caso em várias instituições de ensino, o artigo explora como ferramentas de IA, como sistemas de tutoria inteligente, análise de dados educacionais e plataformas adaptativas de aprendizagem, estão sendo implementadas e quais são seus efeitos no processo de ensino-aprendizagem.

Os resultados indicam que a integração de tecnologias de IA nas escolas brasileiras tem potencial para personalizar a aprendizagem, permitindo que os alunos aprendam em seu próprio ritmo e estilo. Ferramentas de IA foram eficazes em identificar lacunas de conhecimento e fornecer feedback imediato, o que contribuiu para melhorias no desempenho acadêmico.

Além disso, o estudo destaca que professores que utilizaram tecnologias de IA relataram um aumento na eficiência do ensino, pois puderam dedicar mais tempo à interação direta com os alunos e menos à correção de tarefas e avaliações. No entanto, o artigo também aponta desafios significativos, como a necessidade de formação adequada para os educadores, questões de privacidade e segurança de dados, e desigualdades no acesso às tecnologias.

Conclusivamente, o estudo sugere que, apesar dos desafios, a implementação cuidadosa e bem planejada das tecnologias de IA pode transformar positivamente a educação no Brasil, promovendo uma aprendizagem mais inclusiva e eficaz.
Conscientização e Sustentabilidade: Implementação de Coleta Seletiva e Educação Ambiental no Município de Senador José Porfírio-PA
Authors: Anjos Lara Rebeca Santana dos
Published: September 2024

O gerenciamento de resíduos sólidos urbanos é uma questão crucial para a melhoria da saúde ambiental e social. O presente artigo tem como objetivo propor a criação de um sistema de coleta seletiva e reciclagem no município de Senador José Porfírio, no estado do Pará, aliado a um programa de educação ambiental. A conscientização da população sobre os impactos do descarte inadequado e os benefícios da reciclagem é fundamental para a sustentabilidade e melhoria da qualidade de vida. Através de uma abordagem teórica e um estudo de caso, este trabalho visa identificar os principais desafios na implementação de um sistema de coleta seletiva, além de propor soluções que incentivem o reaproveitamento dos resíduos e a inclusão social de catadores. Conclui-se que a implantação desse sistema trará melhorias ambientais, sociais e econômicas, promovendo um futuro mais sustentável.
Aplicação da Análise Preliminar de Riscos (APR) em uma Oficina Mecânica em Altamira/PA: Um Estudo de Caso
Authors: Anjos Lara Rebeca Santana dos
Published: September 2024

A Análise Preliminar de Riscos (APR) é uma técnica essencial para a identificação e prevenção de possíveis riscos em processos industriais. Este estudo teve como objetivo aplicar a APR em uma oficina mecânica localizada em Altamira/PA, com o intuito de identificar os riscos ambientais e operacionais associados às suas atividades. Foram analisadas as etapas do processo de manutenção de veículos, armazenamento de óleo e tratamento de efluentes. Os resultados indicaram que, apesar dos riscos presentes, a adoção de medidas preventivas, como manutenção adequada e uso de equipamentos de proteção, pode minimizar significativamente o impacto ambiental e prevenir acidentes. Este estudo fornece recomendações práticas para a gestão de riscos em oficinas mecânicas e sugere a implementação de planos de ação contínuos.
Synthesis and characterization of zinc oxide nanoparticles from aqueous extract of elephant grass (Pennisetum purpureum)
Authors: Rachel Itongnte Enemugwem  , Chinwe Sylvanus Alisi  , Cosmas Onyekachi Ujowundu  , Callistus Izunna Iheme  , Catherine Sordum Baridakara  , Beauty Chika Wosu
Published: September 2024

Objective: To synthesise and characterise Pennisetum purpureum zinc oxide nanoparticles from aqueous extracts of elephant grass (Pennisetum purpureum). Methodology: Zinc oxide nanoparticles were synthesised with aqueous extract of elephant grass (Pennisetum purpureum) and zinc acetate dihydrate. It was characterized by using various dispersion methods such as UV-visible spectrophotometry, Transmission Electron Microscopy (TEM), Fourier Transform Infrared (FTIR) Spectroscopy and X-ray diffraction (XRD) to determine the morphology, crystallographic structure, chemical composition, physical properties and crystalline size of the nanoparticles. Results: The results showed that Zinc oxide nanoparticles were synthesized and characterized using various dispersion methods. UV–Vis spectra showed typical absorption peaks around 370nm (Pennisetum purpureum). FTIR revealed the presence of biomolecules and functional groups (C-O, O-H, CH, C≡C, C=C, N-O) that performs various functions like stabilizers, capping and coating agents in nanoparticle synthesis. XRD revealed the crystallographic structure, chemical composition, physical properties and crystalline size of the nanoparticles. The average crystalline size of zinc oxide nanoparticles was calculated using Debye–Scherer equation and the average size was 23.37nm. Conclusion: In this study, simple and green method for the synthesis of zinc oxide nanoparticles using aqueous extract of elephant grass (Pennisetum purpureum) and characterization using various dispersion methods was described. The formation of zinc oxide nanoparticle was confirmed by UV-Visible spectroscopy. The FTIR spectrum showed that the phytochemicals found in the plant extract was incorporated into the zinc oxide nanoparticle as capping and stabilizing agents. XRD results revealed the average size of 23.37nm (Pennisetum purpureum ZnO) and Transmission Electron microscopy (TEM) confirmed the morphology to be spherical.
Synthesis of 3-(substitutedthiocarbamide)-aniline derivatives from di-tert-butyl dicarbonate (BoC) protected 3-chloroaniline
Authors: P. L. Harale  , M. E. Shelke  , D.T. Tayade  , A. R. Kurhe
Published: September 2024

Synthesis of substituted thiocarbamide derivatives is important in the fields of medicinal, agricultural, chemical, and pharmaceutical. Thiocarbamides are commonly utilized as starting materials for several organic synthetic processes and have been studied in search for easy and effective methods of chemical synthesis. In the existing research work, 3-chloroaniline was protected by a di-tert-butyl dicarbonate (BoC) protecting agent. Substituted thiocarbamide derivatives were synthesized using condensation of various substituted thioureas with amino group-protected 3-chloroaniline. The structures of all compounds of 3(substitutedthiocarbamido)-aniline were characterized by 1H-NMR, 13C-NMR, FT-IR, LCMS and CHNS elemental analysis.
DevOps workflow optimization: Enhancing deployment and efficiency for cloud application
Authors: Devik Pareek  , Prashanth K
Published: September 2024

DevOps has quickly become an essential process for cloud software in the contemporary world of utilizing software. However, questions regarding the efficiency of the work flow and speed of application deployment still prevails especially when implemented under cloud environment. This paper focuses on the workflow optimization techniques of DevOps including automation of work, integration and deployment processes CI/CD, Infrastructure to code IaC, and monitoring. The aim is to give guidance on how to increase the velocity of deployment and operation when it comes to applications hosted in the cloud. The information presented from the evaluation of the main optimization strategies can help organizations to enhance the overall cycle time and improve the quality of the products at the same time.
Automated reporting and statistical analysis of test case results in continuous integration: A custom dashboard approach
Authors: Rahul M Salagundi  , Savitha R
Published: September 2024

CI has been one of the cornerstones of modern software development, where teams integrate code changes frequently and have automated testing to receive fast feedback. Running a large amount of test data, however, is overwhelming and can be fatiguing in extracting meaningful insights from traditional reporting methods like email notifications. The paper presents a bespoke dashboard, designed to support the extension of automation in test case result reporting and analysis within a CI environment by real-time data visualization, interactivity in filtering and sorting, and statistical insights that would make trends and anomalies easier for teams to detect. Implemented in a large software project, this solution brought immense improvement in decision-making, team collaboration, and efficiency, since the dashboard reduced time spent on manual report analyses and generations. The flexibility and ability to integrate with a number of CI tools make it a powerful solution for addressing traditional reporting shortcomings and let development teams focus on areas needing improvement, ultimately enhancing software quality.
Evaluation of the health services provided by the primary schools in southwest Districts of Mogadishu, Somalia
Authors: Ali Abdullahi Abdi  , Bashir Abubakar Mohamud
Published: September 2024

Purpose: This study set out to evaluate the state of the School Health Services SHS in primary schools across the Southwest Districts of Mogadishu, Somalia. Methods: The Southwest Districts of Mogadishu City, which are made up of the four districts "Wadajir, Dharkenley, Kahda, and Deyniile," served as the study site. In Mogadishu, these four districts rank among the biggest. The population was estimated around a million. A cross sectional descriptive study conducted from January to July 2024. A School Health Evaluation Scale Questionnaire was completed for each school by direct interview, there were about 100 elementary schools in the Area that were officially registered, comprising 60 private and 40 public schools. Results: Of the Teachers in the schools surveyed, 8 (30.8%) were trained to assess the physical status of children. Only 6 (23%) schools observe and assess health status of school children regularly. Overall, twenty-one schools (80.7%) has no sick bay/health center. 80.8% has no a policy on first aid and emergency treatment. First Aid boxes were present only 2 schools (7.7%). Only 6 schools (23%) used their dispositions to exclude and re-admit students suffering from communicable diseases from school. 7 Schools 26.9% require students to be immunized against communicable diseases. Conclusion: both public and private elementary schools in Mogadishu southwest districts, the quality of the school health services was generally poor. Thus, we would like to encourage that the management of the elementary schools be given immediate attention. First aid should be taught to at least one member of staff in every elementary school. The Ministry of Education ought to make this a requirement for registration and a policy.
Machine learning models for personalised healthcare on marketable generative-AI with ethical implications
Authors: Kiran Gulia  , Izhar Ahmad Hamdan  , Nilay Datta  , Yuvraj Gupta  , Phool Kumar  , Amita Yadav  , Sandeep Mitten  , Rajiv Kumar
Published: September 2024

Personalised healthcare, underpinned by a deep understanding of individual patient variability, demands innovative solutions. Machine Learning (ML) models offer a promising avenue to achieve this by facilitating the development of enhanced Digital Twins (DTs). This research proposes a novel framework for creating DTs tailored to individual patients, considering not only physical attributes but also the intricate interplay of social, and biological factors. By capturing this comprehensive patient profile, ML-powered DTs have the potential to revolutionise healthcare by enabling predictive, preventive, and personalised care strategies, ultimately leading to improved patient outcomes and the development of a marketable, trust-worthy product. Current healthcare solutions lack personalisation, often failing to consider individual differences in disease presentation and response to treatment. Traditional DTs in healthcare often adopt a disease-centric or organ-specific approach, thereby restricting their capacity to deliver comprehensive, personalised care. To address this limitation, we propose a holistic Artificial Intelligence (AI) framework centered on ML models. Initially focusing on diabetes, our research aims to enhance diagnosis, treatment, and predictive capabilities through personalised insights, thereby optimising patient outcomes and care management. The benefits identified with our ML model are early disease prevention and risk stratification, optimised treatment planning and therapy selection, enhanced patient-physician communication and shared decision-making, reduced healthcare costs and improved resource allocation. Our models are designed to optimise patient care while prioritising safety and societal benefit. To ensure this, we have conducted a thorough assessment of potential ethical implications. Key challenges identified include data privacy and security, algorithmic bias, diagnostic accuracy, data interoperability and standardisation, integration with existing healthcare systems, ethical management of sensitive patient data, refinement of ML methodologies, addressing legal and ethical AI challenges, and suggesting robust ethical guidelines. A comprehensive evaluation of accuracy, reliability, and associated risks will be conducted prior to full-scale integration into the healthcare ecosystem to establish a robust ethical framework for our research models.
Mantle cell lymphoma with skin involvement: Case report of a rare manifestation in a patient with initial diagnosis of chronic lymphocytic leukemia
Authors: Juan Sebastián Lopera Valencia  , Luisa Fernanda Giraldo Mejía  , Diana Margarita Otero de la Hoz
Published: September 2024

Mantle cell lymphoma is a rare subtype of B-cell non-Hodgkin's lymphoma, which mainly affects males. It has a variable clinical presentation, with a course ranging from indolent cases that do not require treatment for years to very aggressive cases. Skin involvement is a rare event. Although most patients have disease in stage III or IV at diagnosis, they generally present with good functional status. In immunohistochemistry, CD5 is commonly expressed, a feature it shares with chronic lymphocytic leukemia. Cyclin D1 and SOX11 expression are present in almost all cases. Treatment depends on multiple factors such as age, frailty, comorbidities, disease stage, symptoms and morphological characteristics. We present the case of a male patient initially diagnosed with chronic lymphocytic leukemia who was started on treatment with ibrutinib. A biopsy of the right earlobe was subsequently performed, which documented secondary skin involvement due to a classic histological variant of mantle cell lymphoma. The patient was treated with chemotherapy between March and July 2022, with positron emission tomography at the end of the proposed cycles with complete metabolic response, so maintenance treatment with rituximab was performed and subsequently consolidated with an autologous bone marrow transplant. To date, the patient is in remission of the disease.
Exploring key determinants of COVID-19 vaccine hesitancy among individuals: An exploratory study globally.
Authors: Saidu Malgwi HASSAN  , Ernest Chinedu OKOLI  , Chidimma A. AZIKE
Published: September 2024

SARS-CoV-2 virus gave rise to COVID-19 in late 2019 in Wuhan, China, and it quickly spread over the world to become a pandemic. The virus, which is mostly carried by respiratory droplets, spread at an unprecedented rate, causing a large number of deaths and extensive illness, necessitating lockdowns, travel bans, and social distancing policies by governments across the globe in an attempt to stop the spread, which severely disrupted daily life, the healthcare system, and economies.COVID-19 vaccines are biological materials designed to offer protection against the organism that causes the COVID-19 pandemic, SARS-CoV-2 virus, played a crucial role in stopping the virus's spread and lowering the burden on healthcare systems around the globe. Although Covid-19 vaccines offers benefits which includes the prevention of severe illness and death through the reduction of the chance of COVID-19-related serious illness, hospital stays, and death, it was met with hesitancy by some population on the basis of a complex web of interrelated causes, such as political division, misinformation, socioeconomic inequities, and past mistrust of healthcare systems.Vaccine hesitancy contributed to lower-than-expected vaccination coverage in many regions, preventing the achievement of herd immunity and allowing the virus to continue spreading. Exploring this key determinants of Covid-19 vaccine hesitancy among individuals all over the world and possible solutions, is the focus of this research.
Adapting law enforcement agencies to new security challenges in Nepal
Authors: Govinda Prasad Guragain  , Saroj Pokharel
Published: September 2024

In today's complex security landscape, the focus on maintaining a robust military-like discipline among paramilitary and the security forces have overshadowed the traditional roles of having enforced the law through authority institutions. These agencies have been tasked with mitigating various dynamic security threats. Contemporary security perspectives are increasingly shaped by challenges such as terrorism, migration, armed conflicts, and the activities of non-state entities, which are prevalent across nations. The rise in extremism, armed conflicts, insurgencies, civil wars, cyber threats, and actions by non-state actors pose significant challenges, impacting the efficiency and effectiveness of law enforcement bodies. This study employs a descriptive research approach and secondary sources to analyze modern security dynamics and the roles of law enforcement agencies in addressing these challenges. It aims to offer future-oriented strategies for both domestic and international security agencies amidst evolving global security concerns.
Enhancing concrete structures: Integrating machine learning and deep learning for optimizing material strength, fire resistance, and impact protection
Authors: Oluwatobi A Ogunsaya  , Rotimi Taiwo
Published: September 2024

This paper presents an innovative approach to enhancing the performance of concrete structures by integrating advanced machine learning (ML) and deep learning (DL) techniques. Concrete, a ubiquitous material in construction, is known for its strength and durability, but its performance can be significantly improved through the optimization of material properties such as strength, fire resistance, and impact protection. Traditional methods of optimizing these properties rely heavily on empirical testing and expert intuition, which can be time-consuming and may not fully capture the complex interactions between different material components. In this study, we propose a framework that leverages ML and DL algorithms to analyse vast datasets of concrete compositions and their corresponding performance metrics [1]. By employing these computational techniques, we aim to identify patterns and relationships that can guide the design of more resilient concrete mixes. The integration of DL models, particularly neural networks, allows for the prediction of material behaviour under various conditions, leading to more accurate and reliable optimization of concrete properties. The proposed framework has the potential to revolutionize the construction industry by enabling the development of concrete with enhanced properties, reducing the need for extensive physical testing, and accelerating the innovation process. This paper discusses the methodology, implementation, and potential impact of using ML and DL in concrete optimization, providing a roadmap for future research and practical applications in improving the performance of concrete structures [2].
Strategic methods for emerging scholars: Identifying research gaps to enhance scholarly work
Authors: Riyad Bin Islam
Published: September 2024

This paper explores various research gaps, and the processes used to identify them, discussing their implications for advancing scientific inquires. By offering a structured approach to recognize gaps. The paper aims to empower emerging scholars to articulate more decisive research questions while contributing meaningfully to the fields. Methods such as citation analysis, meta-analysis, and systematic reviews are utilized to pinpoint under-explored or unexplored areas for further investigation. This study sets a foundational stage for a clear discussion on how effectively identifying and addressing these gaps can significantly contribute to the advancement of various academic disciplines.
Utilizing the '5 in 1 Magic Touch' CCRTV method for early detection of severe dengue warning signs in pediatric patients: A case study from a Type C Hospital in Indonesia
Authors: Charolina Margaretha Simatupang  , Ratna Napitupulu  , Ratna Napitupulu
Published: September 2024

Background: Dengue fever, prevalent in tropical and subtropical regions, is recognized by WHO as a significant global health threat. Early detection of severe dengue symptoms, especially in resource-limited settings, is critical for patient outcomes. The "5 in 1 Magic Touch - CCRTV" method, which evaluates Color, Capillary Refill Time, Temperature, Pulse Rate, and Pulse Volume, provides a simple yet effective approach to monitor hemodynamics and identify early warning signs of severe dengue. Case Description: In a case study, a 3-year-old boy was admitted with fever, shortness of breath, weakness, nausea, vomiting, and epigastric pain. On the third day, he entered a critical phase with symptoms of pale extremities, delayed capillary refill time, high fever, and a weak, rapid pulse. Thorax examination revealed severe plasma leakage, pulmonary edema, and right pleural effusion, indicating a pre-shock state. The patient required close clinical monitoring, regular fluid balance management, and frequent blood tests to guide treatment. Conclusion:The CCRTV assessment method allowed for the early identification of the pre-shock condition, facilitating timely and appropriate intervention. This case highlights the potential of the CCRTV method for improving prognosis in severe dengue cases. The effectiveness of this method warrants further research, particularly in its ability to predict outcomes and improve recovery rates in children with severe dengue.
Autonomous Systems: challenges and opportunities
Authors: David Shamoo Excel
Published: September 2024

The dawn of Autonomous Systems has marked a pivotal transformation in the realm of technology, establishing new paradigms in various industries, from healthcare to transportation. These systems, characterized by their ability to operate without human intervention, promise enhanced efficiency, precision, and adaptability in tasks otherwise prone to human error or constraints. However, as with all revolutionary innovations, they bring forth a plethora of challenges. This paper aims to provide a comprehensive exploration of Autonomous Systems, discussing their architectures, applications, and the intricacies of their operation. We delve into the pressing challenges, both ethical and technical, and speculate on the potential future trajectories of this transformative technology. By amalgamating insights from diverse disciplines, this paper offers a holistic perspective on Autonomous Systems, setting the stage for informed discourse and future research endeavors.
Hybrid predictive maintenance model – study and implementation example
Authors: Wiercioch Jakub
Published: September 2024

In this paper, the concept of hybrid predictive maintenance for a single industrial machine is presented. A review of the solutions in the area of machine maintenance (especially predictive maintenance) which have been described in the literature is provided. The assumptions of the hybrid predictive maintenance model for modules, machines, or systems are presented. The methods used within the developed methodology are described. This includes the use of diagnostic data, experience, and a mathematical model. A case study of an industrial machine on which a system for collecting diag-nostic data has been pilot-implemented, using, among others, vibration sensors and drive system pa-rameters for damage detection is presented. The registered data can be used to precisely determine the time of upcoming failure after detection of the characteristic symptoms resulting from component wear In addition, an analysis of the durations of correct operation and failure events was performed and indicators describing these values were determined. The values of the aforementioned indicators were determined based on empirical data and described using a gamma distribution. The objective of the research was to prepare, implement and draw conclusions on a hybrid predictive maintenance model. A real industrial machine was used in the research study. The hybrid predictive maintenance model presented in this paper enables the use of data of different types (diagnostic, historical and mathemat-ical model-based) in scheduling machine downtime for maintenance actions. On the basis of the re-search conducted, it was determined which machine operating parameters are characterised by varia-bility that enables the detection of upcoming failure. This allows for precise planning of maintenance activities and minimization of unplanned downtime.