bluuebunny/crossref_metadata_2025 huggingface dataset:
Dislipidemias e hipertensión en pacientes con Diabetes Mellitus II
Authors: Quilligana-Caisaguano Stalin Alexander , Cevallos-Teneda Andrea Carolina
Published: January 2024

Introducción: La coexistencia de dislipidemias e hipertensión en individuos con Diabetes Mellitus Tipo 2 (DM2) representa un desafío significativo en la medicina moderna. Estas condiciones coexistentes aumentan considerablemente el riesgo de patologías cardiovasculares, lo que subraya la necesidad de un enfoque integrado para su manejo.

Esta investigación tiene como finalidad revisar la literatura existente para comprender mejor las interacciones entre dislipidemias, hipertensión y DM 2, y evaluar las estrategias actuales de tratamiento para estos pacientes.

Materiales y Métodos: Se realizó un artículo de revisión bibliográfica, examinando estudios recientes y literatura relevante en repositorios como PubMed, Scopus y Google Scholar. Se enfocó en estudios publicados entre 2010 y 2023, priorizando aquellos que abordaban el manejo clínico y las implicaciones terapéuticas de la dislipidemia y la hipertensión en pacientes con DM 2.

Resultados: La dislipidemia e hipertensión son factores de riesgo comunes en individuos con DM2, exacerbando el riesgo de patologías cardiovasculares. La resistencia a la insulina y la inflamación crónica se identificaron como factores clave que contribuyen a estas complicaciones. Se destacó la importancia de un tratamiento integrado que incluya modificaciones en los hábitos de vida, control glucémico y terapias farmacológicas específicas para cada condición.

Conclusiones: La gestión eficaz de dislipidemias e hipertensión en pacientes con DM2 requiere un enfoque holístico. Las modificaciones en el estilo de vida, junto con la terapia farmacológica, son fundamentales para controlar estos factores de riesgo. Es esencial personalizar el tratamiento para cada paciente, considerando su perfil clínico y riesgo cardiovascular
Comparison of different washing solutions and contact times on the quality maintenance and microbial reduction of fresh-cut iceberg lettuce
Authors: DAS BASANTA KUMAR , DAS JAYASHREE MADHUSMITA , KESAWAT MAHIPAL SINGH
Published: January 2024

A study was conducted to evaluate the effect of different washing solutions and contact times on the cut-edge browning and microbial quality of fresh-cut iceberg lettuce. Samples were cut into small pieces, washed for 90 sec. and 180 sec. in normal tap water, chlorinated water (100 ml/l,pH 6.5), electrolyzed water (with free chlorine of 100 m1/l, pH 7.2) or ozonated water (3 ml/l). Samples were then, dewatered, packaged in 30 µm polypropylene bags, and stored at 5°C for nine days. Various quality and safety parameters such as gas composition, off-odour, electrical conductivity, cut-edge browning and microbial numbers were evaluated during storage. Results revealed no detectable off odour in all samples during the storage period. However, significant differences in gas composition and electrolyte leakage were marked in samples washed for 180 sec. Samples washed in chlorine for longer contact time showed least cut-edge browning index and lower microbial numbers than other washings initially as well as finally. Hence, concluded that 180 sec. contact time of chlorine washing was better solution to maintain the microbial quality and cut edge browning of fresh-cut iceberg lettuce.
Biparental mating in early segregating generation of aromatic rice (Oryza sativa)
Authors: KOLI N R , PRAKASH CHANDRA , PUNIA S S
Published: January 2024

A field experiment was carried out during kharif 2009 to study the genetic variability created through biparental mating in the F2 of Improved Pusa Basmati 1( P 1460)×Pusa Sugandha 4 (P 1121) cross of basmati rice (Oriza sativa L.). The biparental population (BIP) had higher mean performance than the F3 self’s for all the characters under study. The lower limit of range was, in general smaller for all the characters in the biparental population. The upper limit had also increased in the desired direction for all the characters. A sufficient high genetic variation was maintained in the BIP population for most of the characters. Highest value of genetic and phenotypic coefficient of variation were recorded for grain yield/plant (34.00 and 35.21), followed by no. of spikelets/ panicle (22.05 and 23.26). Whereas, high heritability (%) and genetic advance (% as mean) were found for 1 000-grain weight (g) and panicles/m2 respectively. The utility of biparental mating in early segregating generation in aromatic rice is emphasized.
Team NoDig - Decision Support for Sustainable Worksites
Authors: Hodne Lars Martin , Høiback Ole-Magnus , Stensrud Skui Mats , Stavnes Sletta Øystein , Thyholt Henriksen Andreas
Published: January 2024

RoadAI: Reducing emissions in road construction is a competition hosted by the Norwegian Artificial Intelligence Research Consortium (NORA) in collaboration with Skanska, Sintef, and other partners. Data from a Skanska construction site has been given to all participants. This article describes an accurate automatic load and dump cycle detector and a daily report generator that can provide real-time insight into mass movement, idle machines, and machine-specific statistics. The transparency, deployment, and further development of the presented solutions are discussed.
Public Expenditure and Economic Growth in Nigeria (2001 - 2021)
Authors: Iorwuese Kachina Eugene , Hassan Danjuma Naisla , Adofu Ilemona , Obadiah Gimba
Published: January 2024

The study attempts to establish the relationship between government spending and GDP in Nigeria from 2001 to 2021. The multiple regression analysis's ordinary least squares (OLS) method was employed. The econometric research shows that the independent variables (recurrent spending, capital expenditure, domestic debt, foreign debt, and exchange rate) have a positive connection with the dependent variable GDP. The OLS findings also show that the overall model accounts for over 94.98% of the changes in the dependent variable (R2 = 0.9498). This means that the variable will have a considerable impact on the GPD. The study suggests that there is an urgent need to instill fiscal discipline in government expenditure by initiating effective internal control measures and more proactive economic management coordination and implementation, as well as discouraging all known productive activities and expenditures at all levels of government. There is also a need for the government to ensure that its expenditures are channeled appropriately to sectors such as infrastructure development in order to boost investment and output, with the expected outcome of price stabilization.
Effects of Business Intelligence, Organisation Learning and Innovation on the Performance of Small and Medium Scale Enterprises (SMEs) in South-West Nigeria
Authors: Oluwasegun Ajibike John , Ologunde O.A, , Fagbemi Fisayo
Published: January 2024

Business Intelligence (BI), both in process and product, is one of the methods used by organizations to develop and access useful information or intelligence that can help enhance their performance. This paper therefore evaluates the effect of business intelligence (BI), organizational learning (OL) and innovation (IN) on the performance of SMEs in the South West Nigeria. Ex-post facto design of descriptive survey was adopted for the study. Primary data were collected on SMEs from Southwest Nigeria. A structured questionnaire (r=0.77) was used to elicit information from selected respondents. The sample size of 400 was adopted as derived from Cochran sample size formula out of the population size of 299,401. The data obtained were analyzed using statistical and econometric techniques. The findings from the analysis through logistic regression showed that only Business Intelligent (organization learning and innovation) has a significant influence on firm performance. The study therefore concluded that firm performance could be boosted by the integration of business intelligence, organizational learning and innovation. Hence, it is suggested that Nigerian small and medium scale businesses that are yet to incorporate business intelligence-driven innovation into any part of their production and delivery processes should make a quick effort to do so.
The Economic Impact of Insecurity and Terrorism on the Nigerian Economy
Authors: Oshiokpekhai Omolua, Roy , Aniemeke Tobechukwu Ozioma
Published: January 2024

This study examines the economic impact of insecurity and terrorism on the Nigerian economy from the period 1990-2022. One of the major challenges that has confronted Nigeria as a nation in recent times is that of insecurity and terrorism. The villainous activities of Bandits, unknown gunmen, Niger Delta militant, Boko Haram, and Fulani herdsmen, had been responsible largely for the loss of lives and properties in Nigeria. Some of their dastard and iniquitous activities include kidnapping especially school children, raping, armed robbery, ritual killings, suicide bomb attacks, sporadic and indiscriminate shooting of unarmed and innocent citizens, burning of police stations, churches, mosques, murder and destruction of oil properties. Annual time series data on our targeted variables were obtained from secondary sources including the Central Bank of Nigeria annual statistical bulletin and World Bank development indicators for various years. The Eview9 Statistical Software was employed to analyze the data empirically. The Unit root test was also used to test the stationarity of data. The data were analyzed using the Autoregressive distributed lag (ARDL). The results of the ARDL estimates reveal that in the long run, terrorism coefficient has negative economic impact on gross domestic product (economic growth) in Nigeria and it was also found to be statistically significant. Unemployment rate was also statistically significant at five percent and also has negative economic influence on GDP in the short run. The study recommends amongst others that the Nigerian government should apply any reasonable strategy possible to return peace to the country, in other to accelerate the pace of economic growth and development. Without doubt, a peaceful Nigeria, where there is the absence of terrorism and insecurity will surely pave way for a meaningful and systematic economic growth and development.
Corporate Resilience and Dynamic Capabilities of Small and Medium-scale Enterprises in Yenagoa, Bayelsa State, Nigeria
Authors: Isaiah Oyeinkorikiye Stephan , Dickson Rachel Konyefa
Published: January 2024

This study ascertained the relationship between corporate resilience and dynamic capabilities of small and medium-Scale enterprises in Yenagoa, Bayelsa State. The researcher adopted a cross-sectional survey design. The study population consisted all registered small and medium- scale enterprises with the Ministry of Commerce, Trade and Investment in Bayelsa State and the Corporate Affairs Commission (CAC). Four hundred and sixteen (416) SMEs were selected. The sample size was determined using the Taro Yamane formula and a total of 204 participants made up the sample size. A structured questionnaire was designed to elicit data. The Spearman Rank Correlation coefficient was adopted to test the hypotheses with the aid of the SPSS version 24. The result revealed that corporate resilience had a positive and significant relationship with SMEs dynamic capabilities. The researcher concludes that corporate resilience is an important psychological quality needed by managers of SMEs to push through with emerging business challenges. Dynamic capabilities is a strategic management approach that sustains competitive advantage. Corporate resilience and firm dynamic capabilities can lead to SMEs sustained growth and effective performance. Thus, it was recommended that the management of SME’s should enhance its dynamic capabilities to sense market changes and encourage a persevering work behaviour to achieve business objectives despite overwhelming challenges in the market.
Role of Forensic Accounting in Uncovering Accounting Fraud
Authors: Cyril Ubesie Madubuko , Okechukwu Nnaji Moses , Chidimma Okafor Perpetua
Published: January 2024

This study concentrated on the Role of Forensic Accounting in Uncovering Accounting Fraud with reference to Guaranty Trust Bank Enugu Metropolis. The study amongst others examines the role, scope and tools of forensic accounting in detecting accounting fraud. For the objective to be achieved, questionnaire was used as a major source of data. 81 respondents were used as total population while 67 was used as the sample size of the study. Taro-Yamane statistical tool was applied as a method for sample size determination. Table and five point likert style was used for presentation and analysis of data. chi-square was used for test of hypothesis. The findings indicates that the roles of Forensic accounting in detecting accounting fraud is identification of fraud such as fake teller valuations, suspicious bankruptcy valuations, and analysis of financial documents in fraud schemes, the scope of forensic accounting in detecting accounting fraud are litigation support and investigative accounting services and the forensic accounting tools in detecting accounting fraud are training, mindset, risk assessment, systems analysis, mathematical modeling and exception reporting. The study therefore recommended that different organizations should always advocate forensic accounting as a means of uncovering accounting fraud because it will always help for quick identification of fake teller/receipt, suspicious bankruptcy and analysis of financial documents through valuation method, management of business entities both private and public should try all possible means in focusing on the main scope of forensic accounting such as litigation and investigation services for it help for proper detection of accounting fraud at the right time in a way it will not affect the profitability of business and training, mindset mathematical modeling and others as tools of forensic accounting should be employ by organizations an
Experimental Assessment of The Effect of Sugar as an Admixture on the Setting Time of Cement and Compressive Strength of Concrete
Authors: Olawale Mokanmiyo Adedeji
Published: January 2024

This study was carried out with the fundamental aim of conducting experimental investigations into the influence of sugar as an admixture on both the setting time of cement and the compressive strength of concrete. The research involved the variation of the proportion of cement replaced by sugar at specific weight percentages, including 0.0%, 0.06%, 0.08%, 1%, 2%, and 3%. The aim of this experiment was to determine the effect of sugar as an admixture on the setting time of cement paste and the determination of the compressive strength of the obtained concrete. On a global scale, this research addresses the pressing issue of the substantial demand for cement and its profound environmental implications. The study explores innovative approaches to partially substitute cement in concrete mix, thereby fostering sustainability within the construction sector. The experiment of this study have yielded noteworthy outcomes. Particularly, at the admixture levels of 0.06% and 0.08% sugar by weight of cement, the compressive strength results not only met but exceeded the expectations, surpassing even the performance of the control concrete M15 sample, while retarding the setting time of cement paste. These findings present a compelling argument for the potential utilization of sugar as an admixture in cementitious materials, offering promising prospects for sustainable and environmentally responsible construction practices. This research adds to the broader discourse on sustainable construction and emphasizes the potential benefits of sugar admixture in enhancing concrete properties while cushioning the environmental effect attached with conventional cement usage.
Effectiveness of Financial Cooperatives as Cost-Effective Models for Financing Rural Economies in Nigeria
Authors: Otaokpukpu Justina Njideka , Nwankwo Leopold Arinze , Uneze Chijioke Uchechukwu
Published: January 2024

Financial cooperatives, commonly known as credit unions or savings and credit cooperative societies (SACCOs), have emerged as integral components of Nigeria's financial landscape, especially in rural areas. This paper explores the effectiveness of financial cooperatives as cost- effective models for financing rural economies. The study delves into their structure, benefits, challenges, and impact on rural communities, with a focus on Nigeria's unique context. Financial cooperatives, characterized by member ownership and control, aim to provide affordable financial services to low-income populations. In Nigeria, where rural areas face challenges in accessing traditional banking services, financial cooperatives have been promoted as a sustainable approach to extend financial inclusivity. SACCOs leverage member savings to offer loans at reasonable interest rates, fostering cost-effectiveness compared to other microfinance models. The paper also discusses the structure of the rural economy in Nigeria, its challenges, and potential policy pathways for fostering rural economic growth. The components of financial cooperatives, such as membership, governance, savings mobilization, lending methodology, and regulation, are examined. The study emphasizes the significance of good governance in ensuring cooperatives act in the best interests of their members. It also discusses the positive impact of financial cooperatives on rural communities, offering accessibility, affordability, and contributing to community development. In conclusion, financial cooperatives present a promising model for rural economic development in Nigeria. The paper provides recommendations for enhancing their effectiveness, emphasizing collaboration with regulatory bodies, targeted initiatives for financial inclusion, capacity building, technological adoption, diversification of financial products, community
Ética da alteridade em Lévinas: um antídoto à indiferença na sociedade contemporânea?
Authors: Sganzerla Anor , José Maria Ester Lucas , Melo Edvaldo Antonio de
Published: January 2024

Uma das marcas das sociedades modernas é a indiferença em relação ao outro. O problema do não reconhecimento do outro representa parte do pensamento de Emmanuel Lévinas. Essa reflexão quer saber se a ética da alteridade proposta por Lévinas contribui para orientar a civilização moderna a superar a indiferença nas relações sociais de modo a reconhecer as exigências éticas a partir do rosto do outro. Trata-se de uma pesquisa bibliográfica de caráter analítico. A ética da alteridade advoga que somos seres de relação, de integração, de interdependência, de acolhimento e de hospitalidade, o que nos capacita a reconhecer o outro em suas diferenças, desde que sejamos capazes de vencer a cegueira do fechamento em nós mesmos.
Achieving Organizational Effectiveness through Machine Learning Based Approaches for Malware Analysis and Detection
Authors: Alimul Haque Md , Ahmad Sultan , Sonal Deepa , Abdeljaber Hikmat A. M. , Mishra B.K. , Eljialy A.E.M. , Alanazi Sultan , Nazeer Jabeen
Published: January 2024

Introduction: as technology usage grows at an exponential rate, cybersecurity has become a primary concern. Cyber threats have become increasingly advanced and specific, posing a severe risk to individuals, businesses, and even governments. The growing complexity and sophistication of cyber-attacks are posing serious challenges to traditional cybersecurity methods. As a result, machine learning (ML) techniques have emerged as a promising solution for detecting and preventing these attacks. Aim: this research paper offers an extensive examination of diverse machine learning algorithms that have the potential to enhance the intelligence and overall functionality of applications. Methods: the main focus of this study is to present the core principles of distinct machine learning methods and demonstrate their versatile applications in various practical fields such as cybersecurity systems, smart cities, healthcare, e-commerce, and agriculture. By exploring these applications, this paper contributes to the understanding of how machine learning techniques can be effectively employed across different domains. The article then explores the current and future prospects of ML in cybersecurity. Results: this paper highlights the growing importance of ML in cybersecurity and the increasing demand for skilled professionals who can develop and implement ML-based solutions. Conclusion: overall, the present article presents a thorough examination of the role of machine learning (ML) in cybersecurity, as well as its current and future prospects. It can be a valuable source of information for researchers, who seek to grasp the potential of ML in enhancing cybersecurity
Dynamic Threshold Fine-Tuning in Anomaly Severity Classification for Enhanced Solar Power Optimization
Authors: Boutahir Mohamed Khalifa , Hessane Abdelaaziz , Lasri Imane , Benchikh Salma , Farhaoui Yousef , Azrour Mourade
Published: January 2024

This study explores an innovative approach to anomaly severity classification within the realm of solar power optimization. Leveraging established machine learning algorithms—including Isolation Forest (IF), Local Outlier Factor (LOF), and Principal Component Analysis (PCA)—we introduce a novel framework marked by dynamic threshold fine-tuning. This adaptive paradigm aims to refine the accuracy of anomaly classification under varying environmental conditions, addressing factors such as dust storms and equipment irregularities. The research builds upon datasets derived from Errachidia, Morocco. Results underscore the effectiveness of dynamically adjusting severity thresholds in optimizing anomaly classification and subsequently improving the overall efficiency of solar power generation. The study not only reaffirms the robustness of the initial framework but also emphasizes the practical significance of fine-tuning anomaly severity classification for real-world applications in solar energy management. By providing a more nuanced perspective on anomaly detection, this research advances our understanding of the intricate precision required for optimal solar power generation efficiency. The findings contribute valuable insights into the broader field of machine learning applications in renewable energy, offering a pathway for the refinement of existing frameworks for enhanced sustainability and operational effectiveness
Aortic peak flow variation as a predictor of fluid responsiveness in pediatric septic shock patients under mechanical ventilation
Authors: Rodríguez-Portelles Alfredo Carlos , Céspedes Rómulo Arianna Maité , Carvajal Choque Reynaldo , Trujillo Pérez María Paula , Montenegro Salas Daniela Stephanie , Jaimes Isaura , Altamirano Jara Fátima Paola , Flores Santander Verónica Alexandra , Góngora Gómez Onelis
Published: January 2024

Introduction: effective fluid management is crucial in pediatric critical care, particularly for patients with septic shock. Aortic Peak Flow Variation (APFV) has emerged as a potential predictor of fluid responsiveness, yet its utility in pediatric septic shock patients under mechanical ventilation remains underexplored.Objective: to evaluate the predictive accuracy of APFV for fluid responsiveness in pediatric septic shock patients undergoing mechanical ventilation and to establish optimal APFV cutoff values for clinical application.Methods: in this prospective observational study conducted from January to September 2023 at the PICU of Hospital Padre Carollo "Un Canto a la Vida," 26 pediatric septic shock patients were enrolled. Hemodynamic variables were measured before and after a standard fluid bolus of 10 ml/kg. APFV was calculated using transthoracic echocardiography, with fluid responsiveness defined as a ≥10 % increase in stroke volume index post-fluid administration. Sensitivity, specificity, and ROC curve analyses were employed to evaluate APFV's predictive capability.Results: out of 26 patients, 17 (65,4 %) responded to fluid administration. The mean APFV across all patients was 12,5 %. ROC curve analysis determined an APFV cutoff of 13,4 % for predicting fluid responsiveness, yielding a sensitivity of 82 % and specificity of 83 %, with an AUROC of 0,83.Conclusions: APFV demonstrated a moderate to high level of accuracy in predicting fluid responsiveness in pediatric septic shock patients under mechanical ventilation. The identified APFV cutoff provides a practical reference for clinicians in fluid management decisions within this patient population
Lifestyle during the COVID-19 pandemic in older adults’ regular basic education teachers in a district of North Lima
Authors: Piñas-Rivera Livia , Asencios-Trujillo Lucia , Asencios-Trujillo Lida , Perez-Siguas Rosa , La Rosa-Longobardi Carlos , Gallegos-Espinoza Djamila
Published: January 2024

Introduction: in older adults, lifestyle plays a key role in adaptation to cope with the coronavirus pandemic during isolation and quarantine at home, so its research objective is to determine the lifestyle during the pandemic of COVID - 19 in older adults’ regular basic education teachers in a district of North Lima.Methods: it is a quantitative, descriptive, non-experimental cross-sectional study, with a total population of 176 adults over 60 years of age, who answered a questionnaire of sociodemographic data and the lifestyle instrument.Results: the results show the lifestyle of older adults, where 38 (21,6 %) have a lifestyle in a danger zone, 21 (11,9 %) have a low lifestyle, 89 (50,6 %) have an adequate lifestyle and 28 (15,9 %) have a fantastic lifestyle.Conclusions: in conclusion, strategies should be sought or developed to improve both physical and eating activities in older adults regular basic education teachers at home
Quality of Life in Hypertensive University professors and Nursing Intervention during the COVID-19 Pandemic in A Health Facility in North Lima
Authors: Gallegos-Espinoza Djamila , La Rosa-Longobardi Carlos , Matta-Solis Hernan , Asencios-Trujillo Lucia , Piñas-Rivera Livia , Asencios-Trujillo Lida
Published: January 2024

Introduction: Hypertension is one of the diseases that puts at risk the quality of life of the person making him vulnerable to presenting another disease, therefore, the objective of research is to determine the quality of life in hypertensive university professors and the intervention of nursing during pandemic of COVID-19 in a health facility in North Lima.Methods: it is a quantitative, descriptive-cross-sectional study, with a total population of 265 hypertensive university professors, who responded to a questionnaire of sociodemographic data and the SF-36 questionnaire.Results: in their results, it was observed that 16(6 %) of hypertensive university professors have a low quality of life 93 (35,1 %) average quality of life, 76 (28,7 % high quality of life and 80 (30,2 %) a very high quality of life.Conclusions: in conclusion, strategies should be sought that allow the guidance of the person with hypertension on the possible risks of their disease and how to prevent it
Effect of Participation in Female Students Music Jumping Program on Physical Self-Concepts
Authors:   Korea Integrated Resort Forum, Kim Min-Sung , Kim Soo-Yeon
Published: January 2024

Purpose: The purpose of this study was to find out how Music jumping rope affects physical self-concepts of female elementary school students, among the programs being conducted at the gymnasium where martial arts is practiced and the special gym for jumping rope.
Method: For the study, a total of 545 female students in the third and sixth grades of elementary school who are exercising at the Jumping Specialized Gymnasium and the Amphibious Training Center, which are applying the jump rope program, were surveyed in Gyeonggi Province. The survey analysis in this study used SPSS/Window 20 and calculated exploratory factor analysis and Cronbach-α to find out the validity and reliability of the inspection tools to examine the participation of the Music jump rope program, physical self-concept.
Results: They showed significant differences in sports ability, appearance, muscle strength, physical activity, and self-esteem, which are sub-concepts of physical self-concepts (p<.05, p<.000), and psychological well-being did not indicate any significant differences.
Conclusion: Musical jumping rope exercise provides the maximum exercise effect and strengthens physical strength, influences physical growth and development, improves physical activity, and self-esteem. As effective exercise methods are combined with music, the positive side of the rope jumping exercise program is that you can exercise continuously without getting bored. This can be seen as an effect.
Interdisciplinary Research Implications: In the future, it is believed that follow-up research will be needed on the construction of a convergent program and practical operation guidelines for rope jumping exercise.
Optimalisasi Pengelolaan Gudang Indomarco Melalui Sistem Informasi Berbasis Web untuk Meningkatkan Produktivitas dan Manajemen Stok
Authors: Reza Kurnia Lesmana
Published: January 2024

Pengelolaan yang efektif dan efisien dari gudang merupakan aspek penting dalam menjaga kinerja dan keberlanjutan operasional perusahaan. Dalam konteks ini, penggunaan sistem informasi berbasis web telah menjadi solusi yang diadopsi oleh banyak perusahaan, termasuk Indomarco, untuk meningkatkan pengelolaan gudang mereka. Metode penelitian menggunakan studi kasus pada gudang Indomarco dan melibatkan implementasi sistem informasi berbasis web yang terintegrasi dengan aspek operasional gudang. Hasil penelitian menunjukkan bahwa penggunaan sistem informasi berbasis web berhasil meningkatkan produktivitas gudang dengan pemantauan stok secara real-time, proses otomatisasi pesanan, dan pelaporan terpusat. Penelitian ini memberikan pemahaman tentang manfaat penggunaan sistem informasi berbasis web dalam pengelolaan gudang serta panduan implementasi yang sukses.
Pengaruh Teknologi dalam Perubahan Pembelajaran di Era Digital
Authors: Riska Aini Putri
Published: January 2024

Perkembangan teknologi digital telah memberikan banyak perubahan aspek kehidupan manusia, termasuk dunia pendidikan. Di era digital saat ini, teknologi memberikan dampak yang sangat besar terhadap pendidikan. Perkembangan teknologi dalam dunia pendidikan juga banyak melahirkan inovasi-inovasi baru untuk menunjang proses pembelajaran. Salah satunya adalah pesatnya perkembangan teknologi yang menyebabkan bertambahnya variasi media pembelajaran. Proses interaksi antara guru dan siswa di era digital saat ini berbeda dengan sebelumnya. Dimana proses pembelajaran (interaksi) yang berlangsung mulai bergeser menjadi interaksi pembelajaran digital. Agar proses pembelajaran berubah dari generasi ke generasi, diperlukan strategi pembelajaran yang sesuai dengan perkembangan teknologi. Kebutuhan global menuntut dunia pendidikan untuk senantiasa menyesuaikan perkembangan teknologi dengan upaya peningkatan mutu pendidikan, khususnya pemanfaatan teknologi dalam proses pembelajaran.
Bulgarian economic policy in a managerial context 1920-2020
Authors:   Higher School of Security and Economics, Dechev Teodor ,   University of National and World Economy, Sofia, Bulgaria
Published: January 2024

The monographic work "Bulgarian Economic Policy in a Managerial Context 1920-2020" by Prof. Dr. Ivan Tsanov claims to be the first of its kind in Bulgaria. And in my opinion, his claim is completely justified - the way in which economic policy is treated, refracted exclusively through the prism of governance, really becomes a fact as a real approach to the topic exactly with this book. The author is very prolific - this is his thirteenth monograph out of a total of 83 scholarly publications in four languages, and his consistency both in the choice of topics and in the constant practical connection with his long and useful teaching career should be emphasised. Among other things, Prof. Tsanov is also the author of nine textbooks, but despite his impressive teaching "portfolio" he is very much a researcher and this is his element.
Application of modern strategies in specific agricultural sectors
Authors:   Economic Research Institute at the Bulgarian Academy of Sciences, Panusheff Emil
Published: January 2024

Bulgaria's commitments to the Common Agricultural Policy of the European Union are a serious challenge for the functioning of a number of agricultural sectors and for supporting their positions on international markets. The scientific interest in the use of specific forms of marketing strategies in beekeeping and grain production is the basis for the monographic study of Associate Professor Lyubomir Lyubenov "Marketing strategies of agro-sectors and regions: a factor for supra-regional competitiveness". It proposes scientifically based concepts for the application of marketing inst-umentarium by creating sustainable functional structures for successful market segmentation of bee products and utilization of regional economic potential.
The Psychometric Properties of the Environmental Worry Index
Authors: OGUNTAYO ROTIMI , Gutiérrez-Vega Marisela , Esparza-Del Villar Oscar
Published: January 2024

Introduction: Environmental-related hazards are a global problem; consequently, an Environmental Worry Index (EWI) was developed; however, the psychometric properties of this scale in the Spanish population are unavailable. Purpose: The objective of this study was to adapt and examine the psychometric properties of an Environmental Worry Inventory (EWI) in a Spanish-speaking student population.Methodology: This study adopted a cross-sectional design. It used a snowball sampling technique to collect data using the compact questionnaire comprise of EWI, Climate Anxiety Scale (CAS), and Big Five Inventory (BFI-15) from 251 participants in 2023 among students of Autonomous University of Ciudad Juárez (UACJ), Juárez, Mexico.Results: Results of exploratory factor analysis (EFA), the Kaiser-Meyer-Olkin (KMO=0.891) and Bartlett's Test of Sphericity (p < 0.001) showed adequate data. Confirmatory factor analysis (CFA; ?2 (5) = 78,595, CFI = 0.94, and RMSEA=0.078) demonstrated adequate goodness of fit. EWI was associated with CAS, and neuroticism dimension of BFI-15. It has an acceptable overall Cronbach Alpha coefficient (? = 0.890); the two subscale factors’ reliability coefficients ranged from .80 to .89. Conclusion: The study concluded that EWI is reliable, valid and recommended for use among Mexicans especially the Spanish speaking students.
Wildlife Conservation and Management: Challenges and Strategies
Authors: Gupta Swapnil , Kumaresan P. R. , Saxena Ankur , Mishra Manish Raj , Upadhyay Lalit , Arul Sabareeswaran T. A.  , Alimudeen S.  , Magrey Ashiq Hussain
Published: January 2024

This article delves into the critical issues and strategies related to wildlife conservation and management in the context of the contemporary environmental crisis. It highlights the major challenges that wildlife faces, including habitat destruction and fragmentation, climate change impacts, the threat of illegal wildlife trade and poaching, the introduction and spread of invasive species, and the detrimental effects of pollution. The article emphasizes the importance of effective strategies to counter these challenges, such as habitat conservation and restoration, climate change mitigation, combating illegal wildlife trade, managing invasive species, and pollution control. It argues for a multifaceted and collaborative approach, involving governments, NGOs, local communities, and individuals, to ensure the preservation of wildlife and natural ecosystems. The overarching goal is to strike a balance between human development and wildlife conservation, thereby securing a sustainable future for our planet's biodiversity.
PERAN STAKEHOLDER DALAM PEMBERDAYAAN MASYARAKAT MENUJU ERA SOCIETY 5.0
Authors: Dewi Ni Luh Yulyana , Prayana I Kadek Rian , Grace B. F. Olivia
Published: January 2024

Era Society 5.0 merupakan konsep atau gagasan bahwa masyarakat kita harus memanusiakan menusia melalui teknologi. Tujuan penulisan ini adalah untuk menyoroti berbagai perubahan yang berperan dalam pemberdayaan masyarakat untuk meningkatkan keterampilan, kritik, ide-ide konstruktif dan inovatif di era society 5.0. Cara yang digunakan adalah dengan melakukan analisis masalah dan melakukan pengabdian langsung dengan datang ke lokasi untuk mengambil data serta melakukan sosialisasi. Fungsi pemangku kepentingan di sini tidak hanya terbatas pada lingkup mikro, melainkan juga melibatkan dimensi makro, di mana masyarakat seharusnya merupakan hasil dari proses pembelajaran lembaga pendidikan. Oleh sebab itu, kiprah para aktivis dapat menyikapi berbagai permasalahan yang berkaitan dengan masyarakat dalam arti yang lebih luas. Dengan mendukung masyarakat di era society 5.0, kami berharap semua yang ada di masyarakat bisa terhubung dengan teknologi. Melalui peran stakeholder, masyarakat dapat memperoleh manfaat dari karya terbaiknya untuk menumbuhkan kemampuan berpikir kritis, konstruktif, inovatif dan mandiri serta kemampuan dasar yang harus dimiliki setiap individu yaitu kreativitas, berpikir kritis, komunikasi dan kolaborasi.
Pelatihan Pembuatan Video Pembelajaran dan Pemanfaatan AI untuk Pembelajaran di SMK Maarif Sukawening Garut
Authors: Rahayu Desy Puspa , Pratondo Agus , Korio Utoro Rio , Ismail  , Siradj Yahdi
Published: January 2024

SMK Maarif Sukawening adalah sekolah menengah kejuruan yang terletak di Kabupaten Garut. Berdiri sejak 2009 dan saat ini memiliki 5 program kejuruan, yaitu Teknik Kendaraan Ringan (TKR),Teknik Sepeda Motor (TSM), Multmedia, Tata Busana, dan Studi Keahlian Pertanian. Tahun 2021, SMK Maarif Sukawening menjadi sekolah yang melakukan transisi menuju SMK Pusat Keunggulan(SMK PK). Saat ini, SMK Maarif Sukawening masih berusaha untuk melakukan transisi tersebut. Sarana dan prasarana telah diperbaiki dan fasilitas ditambah. Akan tetapi, salah satu sumber dayayang masih perlu ditngkatkan adalah sumber daya manusia, terutama guru. Untuk itulah pengabdian masyarakat ini mencoba untuk memberikan Pelatihan kepada guru-guru di SMK Maarif untuk dapat mengadopsi teknologi terbaru yang dapat membantu kegiatan belajar mengajar. Materi Pelatihan dalam abdimas ini adalah pembuatan video pembelajaran dan juga pemanfaatan AI dalam kegiatan belajar mengajar. Pelaksanaan abdimas berlangsung lancar di tanggal 21 November 2023. Materi disajikan dalam dua sesi. Hasil kuesioner untuk menangkap feedback dari peserta menunjukkan bahwa 99% peserta setuju bahwa kegiatan ini bermanfaat dan berharap kegiatan serupa di masa yang akan datang.
La gamificación en el aprendizaje significativo en niños con discalculia
Authors: Vanessa Pozo Alejandra , Marcano Molano Pedro Gabriel
Published: January 2024

La gamificación es una estrategia de innovación en el contexto matemático, ya que utiliza la mecánica del juego para cambiar el entorno de aprendizaje, llamar la atención de los alumnos, adquirir conocimientos, desarrollar habilidades y actitudes positivas de aprendizaje que ayuden a mejorar la discalculia. El objetivo de la investigación es determinar la influencia que ejerce la gamificación en el aprendizaje significativo en niños de educación básica con discalculia, la metodología de investigación se centra en el paradigma interpretativo, este paradigma es muy usado en las investigaciones sociales. Se aplicó el método inductivo, que se basa en la observación y la experimentación para llegar a una conclusión general de los casos específicos. La investigación tiene un enfoque cualitativo que brinda una metodología para comprender el complejo mundo de la experiencia vivida. Se aplicó el Test de análisis de conocimientos y habilidades matemáticas a los niños de la muestra para evaluar sus conocimientos y habilidades matemáticas iniciales. La muestra estuvo conformada por 10 estudiantes con deficiencia en el proceso de conteo numérico y reconocimiento de números de la escuela de educación básica Santa María de la Esperanza ubicada en Santa Elena, Ecuador. Se procedió a aplicar estrategias de gamificacion como rompecabezas de números y juegos de memoria de secuencias numéricas, en clases lo que generó un ambiente dinámico y divertido para los niños El post- Test aplicado evidenció como las estrategias y actividades de gamificación mejoraron el nivel de aprendizaje en matemáticas en los niños que fueron incluidos en este estudio.
Los animales
Authors: Aguilar Martínez Noemí , Mendoza Aguilar María Vianey
Published: January 2024

El libro anterior habla de la conciencia de que existe “el otro” igual a mí y con las mismas necesidades básicas e igual de complejo que yo, con emociones y sentimientos. Ahora, hablemos de los animales que también son “otros”. Ellos se hacen muy visibles a los ojos de las niñas y los niños. A su corta edad, de 3, 4 y 5 años, observar el desplazamiento de una hormiga, una rana inflarse al croar, escuchar el ladrido de un perro, el salto de un gato, embelesarse con una jirafa que jala de su mano una zanahoria en el zoológico, el tamaño de un oso, el color de los peces, el volar de un ave, todo lo relacionado con estos seres vivos es tan significativo para sus aprendizajes y experiencias. Las y los preescolares desarrollan independencia y autonomía si las madres y padres alientan su exploración y libertad dentro de límites seguros. Además, uno de los actos más nobles es el de preocuparse por el otro, cuidarle y ver por él. Los animales permiten ambas cosas, que nuestros infantes amplíen su sensibilidad, su libertad, su capacidad de explorar y que se inicien en el proyecto de cuidar de otro ser vivo. El libro cuarto, inicia hablando de los animales del mundo. Propone una historieta y rimas para sensibilizarse y entretenerse leyendo. Los niños continuarán escribiendo a partir de un relato y jugarán con canciones y trabalenguas. Para juego de mesa se divertirán creando sus propias aliteraciones. A seguir formando la sensibilidad de nuestra niñez con los animales.
Crop Yield Prediction in Nigeria Using Machine Learning Techniques: A Case Study of Southern Part Nigeria
Authors: Ahmed Abdulbasit , Adewumi Sunday Eric , Yemi-peters Victoria
Published: January 2024

A key tool for digitalizing the agriculture sector and other industries is using big data and machine learning to predict farm produce.  The inability of farmers to accurately predict yield is a great problem using previous farming experience.  This study adopted three (3) machine learning approaches, including a decision tree classifier, random forest, and support vector machine, to model data from different zones and make predictions.  The techniques adopted were tested using root mean square error to ensure the right prediction algorithm is adopted and the right values are obtained.  Results show prediction from the South East is the best in terms of yields and accuracy when tested and evaluated, with 138.9 %.
Optimization of Methylene Blue Adsorption onto Activated Carbon derived from Pineapple Peel Waste using Response Surface Methodology
Authors: Habibu Shehu , Ladan Magaji , Safana Aminu Aliyu , Dandalma Zainab Ali , Saleh Isyaku , Abdullahi Sabiu Rabilu
Published: January 2024

This study focuses on the optimization of methylene blue (MB) adsorption onto activated carbon derived from pineapple peel waste (ACPPW) using response surface methodology (RSM). The activated carbon was synthesized via a chemical activation method and characterized using FTIR spectroscopy. The adsorption process was optimized by investigating the effects of three key parameters: adsorbent dosage, initial dye concentration, and contact time. A Central Composite Design (CCD) with 20 runs was employed, and ANOVA was performed to determine the significance of each parameter. The central composite design (CCD) was employed to determine the effect of three independent variables, namely adsorbent dosage (X1), initial MB concentration (X2), and contact time (X3), on the response variable, MB removal efficiency (Y). The optimal conditions for achieving a high adsorption capacity of 98.19 % for methylene blue dye were determined to be an adsorbent dosage of 400 mg/L, an initial dye concentration of 15 mg/L, and a contact time of 12 minutes. The regression equation achieved a high R2 value of 0.9883, indicating a good fit for the experimental data and the model's reliability. These findings provide valuable insights into efficiently utilizing pineapple peel waste as a sustainable source for producing activated carbon with excellent adsorption capabilities for dye removal, thus contributing to environmental sustainability and waste management efforts.
Variational Quantum-Classical Algorithms: A Review of Theory, Applications, and Opportunities
Authors: Adebayo Philip , Basaky Frederick , Osaghae Edgar
Published: January 2024

Variational Quantum-Classical Algorithm (VQCA) is a potential tool for machine learning (ML) prediction tasks, but its efficacy, adaptability to big datasets, and optimization for noise reduction on quantum hardware are not clear. We aim to accomplish three study goals in this literature review. We begin by reviewing the justifications for ML practitioners' use of VQCA. Second, we compare the accuracy and effectiveness of VQCA in diverse domains to see whether it has a performance advantage over other ML methods. Finally, we evaluate VQCA's immediate and long-term effects on quantum ML and how well it performs compared to ML techniques for prediction tasks across various applications or domains. Our findings show that VQCA can be significantly more accurate and efficient than conventional algorithms. We also compare traditional ML algorithms with VQCA on various datasets and examine their theoretical guarantees. We equally look into how VQCA might be used practically to address problems in a variety of industries, including banking, healthcare, and energy. In various datasets, we assess the performance and efficacy of VQCA for unsupervised learning tasks. Finally, we go through ways to improve VQCA, particularly for big and complicated problems, to lessen the effect of noise and other sources of error in quantum hardware. Overall, we looked at VQCA’s advantages and disadvantages for ML prediction tasks, including possible directions for future study. Our findings show that VQCA has the potential to completely transform the ML industry, particularly in this emerging era of quantum computing.
Chemical composition and Larvicidal efficacy of Ficus sycomorus leaf extract against major malaria vector Anopheles coluzzii
Authors: Babandi Abba , Anosike Chioma , Ezeanyika Lawrence , Elijah Peter , Yakasai Hafeez , Muhammad Abdurrazak , Muhammad Abdullahi , Ibrahim Sulaiman
Published: January 2024

Resistance to synthetic insecticides used in control of malaria vectors is a major threat to malaria control globally. Natural insecticides of plant origin provide environmentally safe alternativess. This study characterized the phytochemical contents of the Ficus sycomorus leaves and insecticidal activities of its methanolic extract on Anopheles colluzzii larvae. The active secondary metabolites from methanol extract of F. sycomorus leaves were characterized using gas chromatography - mass spectrometry (GC-MS). A modified WHO standard protocol for larvicidal bioassay was used to determine the activity of methanol extract of the F. sycomorus. Molecular species identification showed that 75 % of the larvae were Anopheles coluzzii (Coetzee & Wilkerson); 6.25 % Anopheles arabiensis and 12.5 % Anopheles gambiae s.s. The extract reduced the survival of An. coluzzii larvae by approximately 52 % at LC50 of 0.225 mg/ml (95% CI: 0.197-0.234; R2 = 0.9445) after 24 h, and the mortality was dose dependent (with highest mortality of 51.67 % at 1 mg/ml). Phytochemical screening revealed the presence of alkaloids, flavonoids, tannins, saponins, terpenoids, phytosterols and phenols, with alkaloid and flavonoids having the highest concentration in the extract. The GC-MS revealed that the extract contained: tetrapentacontane, 66.6 %; stigmasterol, 2.81 %; squalene, 1.01 %; bis(2-ethylhexyl) phthalate, 4.04 %; and 4,8,12,16-tetramethylheptadecan-4-olide, 0.51 %. The toxicity of the extract may be due to different insecticidal phytochemicals, probably working independently, synergistically, or additively. Overall, the F. sycomorus leaf extract is a promising larvicide against malarial vector An. coluzzii and should be exploited as an alternative, environmentally safe larvicide.