bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Some of the Feeding Practices and Local Infant Flours' Consumption by 6 to 23 Months Children in the City of Ouagadougou, Burkina Faso
Authors: Sanogo Bougma , Wend-bénédo Fidèle Tapsoba , Souleymane Zio , Oumarou Zongo , Bakary Tarnagada , MahamadéMahamadé Goubgou , Toulsoumdé Songré-Ouattara Laurencia , Aly Savadogo
Published: May 2024

Background: From birth to 6 months, children must be exclusively breastfed, and from 6 months, food diversification starts to supplement breast milk. This cross-sectional study aims to evaluate some of the feeding practices regarding children aged 6 to 23 months in the city of Ouagadougou. Methods: First, data were food consumption data as well as recalling meals over the past 24 hours were collected. Then, technological and labeling data regarding infant flours produced locally and sold in Ouagadougou were obtained. For analysis, data were entered into Sphinx V5 and IBM SPSS Statistics 20 software, and means were compared using XLSTAT 2016 software. Results: In total, 33 local infant flours were evaluated, and all the formulations contained cereals. Fruits and legumes (30.30%), milk (30.30%), and eggs (0,00%) were the least used materials. Instant type flours were rarely encountered (9.09%), and packaging in plastic bags was consumed the most (57.57%). Regarding labeling information, batch number (28%) and the method of preservation (32%) were the least identified. With respect to food consumption, 94.84% of the children were breastfed and 98.33% aged 6 to 8 months consumed solid foods. At least 85.28% of women considered the age of 6 months for introduction of solid foods. Concerning consumption of infant porridges, imported infant porridges were preferred the most (37.44%). Conclusion: Concerning local infant flour, some of them did not meet WHO guidelines. With regard to food practice indicators in Ouagadougou, some of them are relatively satisfactory; however, there is still a need to raise awareness regarding feeding practices.
Cognitive Determinants of Functional Fiber Food Consumption among the Students in Birjand University of Medical Sciences in 2018
Authors: Norozi Ensiyeh , Moodi Mitra , Salmani Fatemeh , Zeinali Tayebeh
Published: May 2024

Background: This study aims to investigate cognitive determinants of functional foods (FF) consumption which contain fiber among Iranian students based on the theory of planned behavior (TPB). Methods: A cross-sectional study was carried out between March and May 2018 on the students of Birjand University of Medical Sciences (BUMS). A structured questionnaire was used which was validated with Cronbach’s alpha of 0.78. Results: 515 questionnaires were completed, and the majority of the respondents were females. 20% of the participants were the primary household food purchasers, and familiarity with functional foods was the only effective factor regarding consumption. Subjective norms could predict the students’ consumption of the macaroni which contained fiber. In addition, monthly income of the family had a major effect on having the macaroni containing fiber. The parents’ education also impacted the consumption of these foods. Conclusion: Attitudes and perceived control had a poorer effect on choosing the food containing fiber rather than subjective norms.
The Effectiveness of Garlic Consumption on Improving Anosmia and Dysgeusia in Patients with COVID-19
Authors: Mohammed Abu Salma Baha’a , Ibrahim Mohammed Omar , Al-Tarawneh Haneen Nayef , Rabadi Nizar Al- , Elmoumani Ali Ibrahim
Published: May 2024

Background: Anosmia and dysgeusia are symptoms associated with COVID-19 infection following the announcement of the disease as a pandemic. Moreover, there is no effective treatment for the disease. Garlic is a well-known herb with antimicrobial and antiviral properties. This study evaluates the potential therapeutic effect of garlic consumption on reducing the recovery time from anosmia and dysgeusia symptoms among participants with COVID-19. Methods: 388 Jordanian participants with COVID-19 infection were enrolled in an online computer-assisted web survey during the period from 20th September 2021 to 20th January 2022. The survey consisted of three constructs; socio-demographic profile, symptoms associated with COVID-19, and frequency of garlic and onion consumption used during the infection. Results: The results of this study showed that almost half of the participants were between 20-40 (193, 49.7%); most of them complained about fever, fatigue, anosmia, and dysgeusia and used onion (20, 93%) and garlic (29, 23%) to alleviate symptoms of the disease. In total, 40.7% of garlic-using participants recovered from anosmia within the first 11-15 days, whereas 35.3% recovered between 6-10 days. Results also revealed that there was no correlation between garlic consumption and recovery from dysgeusia. Hence, there was a weak inverse association between garlic consumption and recovery time from anosmia. Conclusion: The authors concluded that consumption of garlic will enhance immune system during the fight against COVID-19. There is need for further study to identify the proper amount of garlic consumption to relieve anosmia symptoms during COVID-19.
The Prevalence of Food Insecurity among Postgraduate Students and Its Impact on Their Academic Performance: Evidence from Jordan
Authors: Alsharafat Ali , Aldeseit Bassam , Al-Tarawneh Haneen , Salma Baha’a Abu
Published: May 2024

Background: Food insecurity (FI) is a public health issue which is receiving increasing attention in many countries. In responding to sustainable development goals, achieving food security is of essential importance. This study aims to demonstrate the level of food insecurity among postgraduate students at Jerash University/Jordan, discuss the most important factors associated with it, and show its relation to the student's academic performance. Methods: A random sample of 126 postgraduate students has been interviewed in this cross-sectional study. The level of FI for the study sample was determined using the 10-item US Adult Household Food Security Scale Module (HFSSM). The association between students’ characteristics and their food security (FS) level was analyzed through chi-square test and a multivariate regression method. Results: The results of the study revealed that 67% had marginal or fragile food security level, 25% were highly food secure, and 8% of the sample suffered from food insecurity. The results showed that the association between food security and students' gender and age was insignificant (P > 0.05). As for the rest of the associated characteristics, there was a significant relationship between the students' food security and their marital status, family size, stable-income work, and their monthly income. Conclusion: A percentage of postgraduate students suffer from food insecurity, which is an important obstacle to their academic progress. Moreover, the level of food security is related to the student's marital status, family size, job with stable income, and the amount of monthly income.
Educação Geográfica e Saberes Docentes
Authors: Chaves Ana Paula Nunes , De Toledo Desiderio Raphaela
Published: May 2024

Texto de apresentação do Dossiê
The Economic Impact of Climbing in the Lander Area of Wyoming
Authors: Bradley Michael J. , Maples James N.
Published: May 2024

The popular climbing destination of Lander, Wyoming receives nearly 37,000 climbing visits every year, with 78% of those visits coming from persons living outside of this area. Climbing tourism expenditures result in an estimated $4.5 million in visitor spending each year. Climber demographics indicate these visitors are well-educated with 98% choosing to stay overnight on their visits. The average visit also lasts nearly a week. Climbing tourism expenditures support $1.7 million in wages for local workers, highlighting an opportunity to increase regional tourism and its economic impact amid a rural, transitional economy.
Development and Approval of a Multidimensional Model of the Clinical Effectiveness of Treatment Technologies for Patients With a Mild COVID-19 Associated With Comorbidities
Authors: Yakovenko Oleh , Soloviov Serhii , Smetiukh Mykhailo , Khanin Oleksandr , Khodosh Eduard , Dziublyk Yaroslav , Surtaieva Nataliia
Published: May 2024

Background. Today's latest infection, COVID-19, remains an urgent problem of the Ukrainian healthcare system, which requires further efforts to develop effective treatment strategies, especially considering the potential exacerbation of comorbidities.
Objective. Develop and approve a multivariate model of the effectiveness of the treating mild COVID-19 in patients with comorbidities, using Aminocaproic acid in comparison to nirmatrelvir/ritonavir and symptomatic therapy as examples.
Methods. The modeling was based on the results of a clinical study involving three groups of patients with mild COVID-19. Clinical symptoms and quality of life were dynamically evaluated through standardized questionnaires. Regression analysis was used to analyze the dynamics of clinical symptoms and identify general patterns and their correlation with quality of life.
Results. Modeling the dynamics of individual clinical symptoms allowed for the examination of recovery trends in mild COVID-19 patients under different drug treatments. Aminocaproic acid demonstrated a faster alleviation of primary respiratory symptoms compared to alternative treatments. Regression analysis highlighted that cough, sore throat, and general fatigue exert the most significant negative impact on the quality of life. These symptoms contribute to the decline in both physical and psychological health and limit activity during the disease course.
Conclusions. This study presents a novel, multidimensional model considering both the dynamics of individual clinical symptoms and patients' quality of life. The developed model was validated with retrospective data from mild COVID-19 patients with comorbidities. A multidimensional simulation of the clinical effectiveness of the use of aminocaproic acid, nirmatrelvir/ritonavir, or symptomatic treatment supports the preferential use of aminocaproic acid over other treatment methods. The quality-of-life modeling has enhanced our systematic understanding of the interplay between a set of clinical symptoms and overall patient condition, providing a rational foundation for treatment and care decisions.
JOÃO BATISTA LIBANIO: UM DISCÍPULO AMADO
Authors: Oliveira Claudia Maria Rocha de
Published: May 2024

Neste artigo pretendemos investigar a influência de Henrique Cláudio de Lima Vaz no percurso intelectual de João Batista Libanio. Para isso assumiremos como ponto de partida o texto “Lições do Mestre”, escrito por Libanio. Também examinaremos o artigo “Cristianismo e pensamento Utópico” e a resenha sobre a obra “Teologia da Libertação: roteiros didáticos para um estudo”, ambos escritos por Lima Vaz. Trata-se de investigar de que modo a influência de Lima Vaz marcou o modo de fazer teologia próprio de Libanio.
PALAVRAS-CHAVE: Lições. Influência. Mestre. Discípulo.
DOS “ATLETAS DA TEMPERANÇA” AO “HERÓI VIRTUOSO”, DO REI AO PASTOR: FOUCAULT E O QUE HÁ DE SINGULAR NO CRISTIANISMO
Authors: Chaves Ernani
Published: May 2024

O objetivo deste artigo é apresentar nas suas linhas mais gerais alguns aspectos da análise que Foucault fez do cristianismo, com a finalidade de apontar o que há neste de singular. Para isso, vamos centrar nossa atenção nos quatro livros publicados no interior do projeto de uma História da sexualidade, cujos três primeiros volumes foram publicados em 1976 e 1984, enquanto o último volume apenas em 2018. Esta análise, por sua vez, pressupõe a genealogia do sujeito de desejo, que podemos considerar como o último programa de pesquisa de Foucault. Para tal, se faz necessário retomar a comparação feita reiteradamente por Foucault entre a experiência grega dos aphrodisia, a experiência cristã da carne e a experiência moderna da sexualidade. Esse desvio nos facilitará compreender a singularidade do cristianismo ligada não à repressão da sexualidade, mas a uma nova forma de governamentalidade, a do poder pastoral, baseada no “governo das condutas”, no interior das quais o corpo e seus prazeres assume um lugar central.
Palavras-chave: Aphrodisia. Carne. sexualidade. Governamentalidade. Poder Pastoral.
FOUCAULT E A PARRESIA. O PROBLEMA DA DEMOCRACIA E DA FILOSOFIA POLÍTICA
Authors: Adverse Helton
Published: May 2024

Em seus últimos anos de vida, Foucault empreendeu uma genealogia da parresia (do dizer-verdadeiro) no campo da política e na história da filosofia. Alicerçando suas análises nas fontes clássicas, gregas e romanas, Foucault descortinou um cenário no qual a coragem da verdade tem um lugar maior na experiência política desde sempre. O que pretendemos nesse trabalho é discutir alguns pontos que nos parecem problemáticos nessa genealogia foucaultiana, em especial, a referência à verdade na parresia democrática e a relação entre filosofia e política.
Palavras-Chave: Foucault. Parresia. Democracia. Filosofia.
Supporting pregnant women experiencing homelessness: an information tool for midwives
Authors:   University of Dundee, Cumming Sara
Published: May 2024

This infographic was produced based on research by Sara Cumming and supervised by Dr. Andrew Symon both from the Mother, Infant and Child Research Group, School of Health Sciences, University of Dundee. The research was supported by Wellbeing of Women's Entry Level Scholarship for Midwives research fund. The infographic was developed in collaboration with several key Third Sector Organisations involved in the research: 'Exploring homeless women's experiences of pregnancy whilst in temporary accommodation'.
Discourse on the Death Penalty: A Study of Public Perceptions in Indonesia
Authors: Djatmika Prija , Istiqomah Milda , Kurniawan Heru
Published: May 2024

The current debate over the death penalty between the retentionist and abolitionist groups is addressed in Decision Number 2-3/PUU-V/2007 of Indonesia, establishing a middle ground. Originally, the death penalty was a primary punishment in the Old Criminal Code but is now reserved as a last resort in the New Criminal Code. Therefore, this research aimed to analyze public perspectives on the death penalty in Indonesia using mixed methods with data collection through questionnaires. The research showed continued contention over the regulation of the death penalty. A large percentage of participants expressed support for maintaining the death punishment, indicating a retentionist viewpoint. Nevertheless, quite a few of the participants supported the abolition. Indonesia should reconsider the regulation of the death penalty for certain offences as Malaysia, even though the punishment in the New Criminal Code was classified as an alternative sanction because the death penalty was an irreversible punishment.
Provare per credere: Lo sguardo di Agostino sul rapporto tra esegesi e ‘scienza’
Authors: Moro Enrico
Published: May 2024

In dialogo con la recente monografia di Marcello Pera, intitolata Lo sguardo della caduta. Agostino e la superbia del secolarismo (2022), questa nota intende analizzare la concezione agostiniana del rapporto tra esegesi biblica e scienza della natura sviluppata, in particolare, nelle pagine del De Genesi ad litteram. Ciò che emerge dall'analisi dei testi è che la riflessione agostiniana differisce significativamente da quella che, nella modernità, sarà la posizione di Galileo. Allo stesso tempo, tuttavia, essa consente di mostrare che e perché non è corretto attribuire ad Agostino la teorizzazione di una priorità o superiorità della rivelazione biblica sulla ricerca scientifica in relazione al grado di verità delle conoscenze raggiunte intorno al mondo naturale.
Foamed Cement Mitigates Gas Migration in Shallow Thermal Wells in Alberta
Authors: Carpenter Chris
Published: May 2024

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 214768, “Mitigating Gas Migration Using Foamed Cement on Shallow Thermal Wells in Northeast Alberta,” by Charles Sylvestre, SPE, Sanjel Energy Services; Julio Oliveira, Suncor Energy; and Heyong Jiao, Sanjel Energy Services. The paper has not been peer reviewed.

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A foamed cement solution was designed and implemented to cement shallow intermediate casing strings in a heavy oil play in northeast Alberta after conventional area-specific cementing solutions could not prevent surface casing vent flows. Foamed cement was pursued as a better alternative technical solution and ultimately led to its successful placement in the field. Significant technical and operational hurdles were overcome to confirm proper well control and ensure that the energized cement could be pumped safely and effectively.

Introduction

MacKay River is Alberta’s shallowest steam-assisted gravity drainage (SAGD) project, with wells typically ranging between 100 m and 150 m true vertical depth (TVD). Wells have been drilled recently at MacKay River with a horizontal length approaching 1000 m and total length exceeding 1500 m measured depth (MD). Wells at MacKay River are drilled using a slant rig because of the extremely shallow depth of the reservoir. The wells feature a three-string casing design with a shallow surface casing, an intermediate casing that runs from surface to the target formation and is landed at 90° inclination, and a horizontal production (or injection) liner hung off the intermediate casing. The intermediate casing is cemented in place and uses premium connections incorporating a metal-to-metal seal to provide a barrier between wellbore fluids and the formations overlying the reservoir.

The complete paper discusses a new pad at the MacKay River SAGD operating site. The specific operations discussed are those involving intermediate cementing.

Case-Well Challenges

One of the most unusual features of the case wells was the discovery of gas trapped under a shallow formation at approximately 80–100 m vertical depth. The pad adjacent to this new pad has been in operation for 17 years.

The second obstacle was the hole and casing size, which creates a large annulus. The open hole size was designed at 374.7 mm with the intermediate casing sized at 298.5 mm. This creates an annular gap of 38.1 mm in a gauge hole, but typically these wells require 150% cement excess to achieve cement returns to surface, meaning that, in certain areas of the well, the annulus is much larger. The next challenge presented by the case wells is that they are slanted wells, spudded at an angle of approximately 45° from the surface.

The low temperature of these wells also adds to the complexity of preventing gas flow. At such low temperatures, cement sets much slower than in other well types.

Finally, the shallow nature of the well, landing at only 113 m vertical depth, does not allow effective hydrostatic pressure control while the cement sets.
Structuring and organizing database security domain from big data perspective using meta-modeling approach
Authors:   Department of Computer Sciences, Faculty of Computing and Information Technology, Northern Border University, Rafha, Saudi Arabia, Alshammari Ahmad
Published: May 2024

Database security is an area focused on safeguarding databases against harmful access. It involves ensuring data accuracy, blocking unauthorized entry, and preventing harmful code within the database. Although various security models and methods exist, they often don't comprehensively cover all aspects of database security. This leads to a diverse and unclear understanding of database security among experts. This study proposes a unified framework, the Database Security Meta-model (DBSM), which acts as a standard language in this field. The DBSM, comprising twelve main elements, is thoroughly vetted to align with security needs and offers guidelines for practitioners to create specific security solutions.
Establishment of a clinical thinking ability training database based on artificial intelligence technology (Preprint)
Authors: Wang Heng , Zheng Danni , Wang Mengying , Ji Hong , Han Jiangli , Wang Yan , Shen Ning , Qiao Jie
Published: May 2024

BACKGROUND

With the development of artificial intelligence (AI), medicine has entered the era of intelligent medicine, and various aspects, such as medical education and talent cultivation, are also being redefined.

OBJECTIVE

This study aimed to introduce an application named “XueYiKu”, which incorporates AI and real medical records to provide a new model of clinical thinking training. In addition, application usage classified by 4 levels of difficulties, learning and teaching effect were evaluated by 6 dimensions.

METHODS

The“XueYiKu” app was designed as a contactless, self-service, trial-and-error system application based on actual complete hospital medical records and natural language processing technology to comprehensively assess the "clinical competence" of residents at different stages. More than 400 teaching cases from 65 kinds of diseases were released for students to learn, and the subjects covered internal medicine, surgery, gynecology and obstetrics, and pediatrics.

RESULTS

From the app’s first launch on the Android platform on May 2019 to the last version of the “XueYiKu” app updated in May 2023, the total number of users of teachers and students was 6,209 and 1,180, respectively. The top 3 subjects most frequently learned were respirology, general surgery, and urinary surgery. For diseases, pneumonia was the most frequently learned, followed by cholecystolithiasis, benign prostate hyperplasia, and bladder tumor. The app enabled medical students' learning to become more active and self-motivated, with a variety of formats, and realized real-time feedback through assessments on the platform. The learning effect was satisfactory overall and provided important precedence for establishing scientific models and methods for assessing clinical thinking skills in the future.

CONCLUSIONS

The integration of AI and medical education will undoubtedly assist in the restructuring of education processes, promote the evolution of the education ecosystem, and provide new convenient ways for independent learning, interactive communication, and educational resource sharing.
K-Form Organizations
Authors: Johnson J. David
Published: May 2024

Contemporary organizations are confronted with increasing challenges in matching their structuraldesigns to the ever increasing flood of information and to the necessity to translate this informationinto actionable knowledge represented in innovations. The progression of organizations from U-forms,or simple unitary functions represented in classic bureaucracies, to M-forms, or multidivisionalstructures with many products often manufactured in many places were both embedded in aone-to-many framework, a top-down approach. However, modern organizations need to develop deeperand deeper tacit understandings that can lead to actionable knowledge that results in innovations andunique strategic advantages. This suggests a need to describe a newly emerging organizational from â€“the K-form. After detailing its fundamental unit, knowledge spheres, representing the increasingunderstanding from recognition of patterns in matter and energy to information to explicit and tacitknowledge to wisdom, how these spheres interact within a knowledge cube, formed by three dimensionsof domain, access, and function is discussed. Finally, the implications for practice of this approach, theintegration problem, and the importance of visualization are examined. Â
MEASURING ACADEMIC ACHIEVEMENT IN A GRAMMAR-LED GENERAL ENGLISH COURSE AT A TERTIARY EDUCATION INSTITUTION
Authors: Zevallos Valdivia Maria Eugenia
Published: May 2024

With the need for instant communication and the boom of the digital era, quality content concerning grammatical output by language learners has become a hot issue among teachers, particularly university professors who aim at accuracy when dealing with their students’ production. The purpose of this study was to measure the effectiveness of a remedial grammar course created “ad hoc” for university leavers (n = 987) in Lima, Peru between March 2018 and September 2019. The dataset deployed in the study came from two instruments: Pre-Test and Post-Test, applied to participants at the start and end of every term. When processing the data, the difference of the paired samples did not follow a normal distribution, therefore, the t-student test could not be applied. Alternatively, the non-parametric Wilcoxon signed-rank test had to be used, but only after verifying the assumption that the differences between post and pre-test samples followed a symmetric distribution. The test result yielded a very significant p-value, thus rejecting the null hypothesis that there were no differences regarding median grades between the pre- and post-tests. Furthermore, the effect size of nearly 70% confirmed the effectiveness of the grammar course and the appropriacy of the application of teaching and assessment methods.
USING BLENDI APPROACH TO IMPROVE THE EFL STUDENTS’ LANGUAGE SKILLS
Authors: Kazumyan Irina , Eragamreddy Nagamurali
Published: May 2024

Modern education system in most countries is built on providing equal education opportunities to all people, regardless of their capabilities and limitations. Hence, most higher education institutions have realized that preserving past learning and teaching practices does not meet the needs of a 21st century student. Many universities and colleges today use online and/or blended learning for most courses they offer. The aim of this article is to discuss the implementation of blended learning for inclusion in teaching English as a foreign language in one of the universities in Oman. This study also looks at how the BLENDI method affects various language components and whether it can help EFL students improve their language skills.
López Olvera, Miguel Alejandro (coord.), Compliance, México, Tirant lo Blanch, 2023
Authors: Delgadillo López Alfredo
Published: May 2024

Obra publicada por Tirant Lo Blanch y el Tribunal de Justicia Administrativa de Guanajuato, la cual se enfoca en el Compliance en el Derecho Administrativo, con el objetivo de ser una herramienta más tanto para prevenir la corrupción como combatirla.
¿Es una garantía suficiente y eficaz la constitucionalización de los derechos y libertades fundamentales en África Subsahariana?
Authors: Abdillahi Bahdon
Published: May 2024

La importancia y el papel de la justicia constitucional en los sistemas políticos africanos del siglo XXI son fundamentales y ya no necesitan ser demostrados. Se destaca el progreso del nuevo constitucionalismo en muchos países del Tercer Mundo, como la República de Yibuti, en comparación con regímenes de partido único del pasado. El Consejo Constitucional de Yibuti tiene atribuciones significativas, incluido el control de constitucionalidad de leyes y tratados internacionales ratificados por el Gobierno, así como funciones consultivas y un control de constitucionalidad de leyes a través de excepciones. Sin embargo, su papel se ve limitado, principalmente debido a la falta de conocimiento sobre los derechos y los procedimientos legales en Yibuti.
Integrated Fault Detection System for Underground Lines Using ESP32 and LORA Communication Using IOT
Authors: Kumar C. E. Mohan
Published: May 2024

Abstract: This paper introduces an advanced fault detection system tailored for underground line infrastructure, featuring the integration of ESP32 microcontroller technology and LORA communication protocols. The primary objective of this system is to enhance the reliability and efficiency of fault detection processes, crucial for maintaining the integrity of underground lines. At the core of this system lies the ESP32 microcontroller, serving as the central processing unit responsible for coordinating various functionalities. The detection mechanism incorporates six toggle switches strategically positioned along the underground lines, each assigned to monitor a specific location segment. In the event of a fault occurrence, the corresponding toggle switch is triggered, promptly initiating the fault detection process. Upon fault detection, the system seamlessly orchestrates the transmission of GPS location data to a LORA communication device. This data transmission mechanism ensures rapid dissemination of critical information regarding the fault's precise location. Additionally, an LED indicator is employed to provide immediate visual feedback, enabling quick identification of fault occurrences. Moreover, a LCD display unit offers realtime updates on the system's operational status, facilitating efficient monitoring and management. On the receiving end, the LORA communication device securely receives the transmitted data and forwards it to the cloud infrastructure using IOT technology. This cloud integration enables seamless data aggregation, storage, and analysis, empowering stakeholders with valuable insights into underground line health and performance.
Lane Line Detection
Authors: Jain Mukul
Published: May 2024

Abstract: Lane line detection is a crucial component in the development of advanced driver assistance systems (ADAS) and autonomous vehicles. This research proposes a comprehensive approach to enhance the accuracy and robustness of lane line detection algorithms, addressing challenges such as varying road conditions, lighting conditions, and diverse road markings.The proposed methodology leverages computer vision techniques, including edge detection, color space transformations, and image filtering, to preprocess input images from onboard cameras. A novel algorithm for lane line extraction is introduced, combining feature extraction and geometric analysis to accurately identify lane markings. The algorithm adapts to different road scenarios by dynamically adjusting parameters based on environmental conditions. The proposed lane line detection system demonstrates promising results in terms of accuracy, adaptability, and real-time performance, showcasing its potential for practical implementation in autonomous vehicles and ADAS. The research contributes to the ongoing efforts in creating robust and reliable perception systems for safe and efficient autonomous navigation on roads.
Securing Forensic Data Using Block Chain
Authors: Chandrakala Dr. M.
Published: May 2024

Abstract: The incorporation of blockchain technology into forensic investigations represents a significant advancement, tackling critical challenges within the legal and criminal justice systems. Central to this integration are smart contracts, which automate and secure essential aspects of investigations. These self-executing agreements operate based on predefined rules, ensuring integrity and transparency in tasks such as evidence tracking, chain of custody management, and access control. A key advantage lies in the substantial enhancement of data security. Blockchain's cryptographic principles and decentralized structure make it highly resistant to unauthorized access and tampering, crucial in maintaining evidence integrity. Additionally, blockchain's immutability ensures the reliability of information; once recorded, data becomes virtually unalterable, providing an indisputable ledger of events. In summary, this innovative integration streamlines operations, reduces errors and disputes, and strengthens the trustworthiness of forensic investigations by offering an unforgeable and transparent chain of custody and evidence history within the legal and criminal justice framework.
Machine Learning-based Anomaly Detection for Fraudulent Banking Activities
Authors: Bhavani Mrs. T. Ganga , Sai Marisetti Yamini , Poornima B Geethika , Sadiqe Mohammed Jafar , Sai Ramanapudi Kishan
Published: May 2024

Abstract: In this research, we look at how class weight-tuning hyperparameters can be used to balance the relative weights of fraudulent and authentic transactions. We utilize Bayesian optimization to optimize hyperparameters while taking into account real-world issues like imbalanced data. We suggest weight-tuning as a pre-process for unbalanced data, as well as CatBoost and XGBoost, to improve the performance of the LightGBM method by addressing these real-world difficulties. Finally, we employ deep learning to adjust the hyperparameters (particularly our suggested weight-tuning technique) in order to increase overall performance. We do experiments on real-world data to validate the recommended approaches. In addition to the usual ROCAUC, we employ recall-precision measures to better address unbalanced datasets. CatBoost, LightGBM, and XGBoost are assessed independently using a 5-fold cross-validation methodology. Furthermore, the integrated algorithms' performance is evaluated using a majority voting ensemble learning approach. The findings indicate that LightGBM and XGBoost meet the optimum level condition of ROC-AUC = 0.95, precision 0.79, recall 0.80, F1 score 0.79, and MCC 0.79. Deep learning and Bayesian optimization are used to modify the hyperparameters, yielding ROC-AUC = 0.94, precision = 0.80, recall = 0.82, F1 score = 0.81, and MCC = 0.81. This represents a huge improvement over the cutting-edge techniques that we utilized for comparison.
Identifying Risky Apps on the Google Play Store: A Decision Tree Approach
Authors: Devi Mrs. A. Manga , Chaitanya Beeraka , Kishor Gunuru Kiran , Jahnavi Talupuri , Bhavani D Durga , Basheeranjali P S S
Published: May 2024

Abstract: With the rapid advancement of technology, fraudulent phone calls, such as spam and hazardous calls, have become a major issue for the telecom industry, resulting in annual financial losses of millions of dollars worldwide. Phishing and spamming via phone or mobile devices, as well as fraudulent phone calls, have become common dangers to individuals and organizations. Machine learning (ML) and artificial intelligence (AI) have evolved into excellent approaches for detecting and understanding fraudulent or damaging calls. This paper presents an overview of AI-based methods for detecting and evaluating spam or fraud, as well as an evaluation of their shortcomings and potential solutions. A new method for detecting fraudulent calls is proposed, which has shown extraordinary precision and accuracy. A dataset of actual fraudulent calls was used to evaluate the suggested approach. The results also showed that the technique was extremely accurate in detecting possibly fraudulent or spammy calls, as well as malicious calls. Countermeasures can be developed using the knowledge gathered from the research of fraud calls, which showed scammers' methods and approaches
Improving Cardiovascular Stroke Risk Prediction with Machine Learning
Authors: Bhavani Mrs. T. Ganga , Bhaskar S. Chaitanya Sai , Prabhash N N Venkat , Simhadri A Ajaykumar , Vamsidhar Beera , Nithin Bula
Published: May 2024

Abstract: Cardiovascular diseases have overtaken all other causes of death in industrialized, developing, and underdeveloped countries over the previous several decades. Receiving clinical care and detecting heart abnormalities early can help to reduce death rates. We created a model for forecasting heart illness and detecting imminent heart disease using machine learning techniques such as logistic regression, SVM, Multinomial Nave Bayes, Random Forest, and Decision Tree based on the patient's various cardiac data. The most common type of input is numerical data representing a variety of parameters. Real-time output results are then generated to determine whether or not the patient has a disease. Before deciding on the best supervised machine learning technique for the model, we will try a variety of approaches. Current systems use imprecise and inefficient traditional deep learning models. They take slightly longer to process and are less precise than the suggested model.
Optimization of spray drying for lulo (Solanum quitoense Lam.) pulp using response surface methodology
Authors: Arango-Bedoya Oscar , Rojas-Inagan Roberth , Martínez-Suarez Hernan , Hurtado-Benavides Andrés
Published: May 2024

Lulo (Solanum quitoense Lam.) is an exotic fruit with high potential in international markets due to its intense aromatic characteristics and its content of nutritional and bioactive compounds. However, it is highly perishable, which backslashes its potential for international exportation. Despite the drying processes affect the nutritional and sensory characteristics, fruit powders obtained by spray drying are promising products for the food, cosmetic, and pharmaceutical industries. This work was conducted aiming to optimize the spray-drying process of lulo pulp. A Box-Behnken design with response surface methodology was used, in which the factors evaluated were inlet air temperature (160 - 220 °C), maltodextrin concentration (15-35%), and whey protein concentration (WPC) (1-5% w/w). The feed rate and air velocity were kept constant at 4 mL/min and 9 m/s, respectively. The optimization resulted in an inlet air temperature of 205.6 °C, 35% maltodextrin, and 1.96% WPC. Under these conditions, the mathematical model estimated a powder yield of 62.8%, a moisture content of 2.3 %, a bulk density of 0.49 g/mL, a solubility of 91.9 %, and an ascorbic acid content of 120.8 mg/100 g powder. The optimal process conditions and the mixture of encapsulants (MD and WPC) allow for obtaining lulo powder with adequate yield and quality characteristics.
Pengembangan e-LKPD Berbasis Project Based Learning untuk Meningkatkan Hasil Belajar Siswa pada Pembelajaran Fiqih
Authors: Agam Alfarizi Aburizal , M.Nur Azhar , Ninoersy Tarmizi
Published: May 2024

The Purpose of this research is to enhance student learning outcomes on fiqh lesson by creating an electronic learning product namely a Developing electronic Students' Worksheet Based on Project Based Learning ( e-LKPD). Research and Development (R&D) utilizing the ADDIE Learning Statistics data analysis methodologies implemented in this research are the result of a product developed by reserchers and validated by material specialistis and media professionals. The sample that used by researeher was the class of VIII-3 which a mounted to 26 students. Validation result from media experts with an average score of 0,95 and material experts with an average score 0,97 indicate that credible project based e-LKPD in utilized in learning, according to research findings. Following the implementation of e-LKPD in learning, the percentage of students learning outcomes increased to 84,61% from 53,84% the educational result of students can be improved, which makes the application of e-LKPD in education an affective method.
Patrimônio cultural em disputa: ações de preservação e resistência nos territórios atingidos pelo rompimento da barragem de Fundão, em Mariana/MG
Authors: Maciel Letícia Nörnberg , Passos Flora d'El Rei Lopes , Costa Fabiele
Published: May 2024

O rompimento da barragem de rejeitos de minério denominada Fundão, sob responsabilidade das mineradoras Samarco, Vale e BHP, ocorrido no município de Mariana (MG), em 5 de novembro de 2015, além de várias outras consequências, atingiu os modos e projetos de vida das vítimas e resultou em danos ao patrimônio cultural. Desde então, empresas e instituições públicas vêm desenvolvendo ações no campo da preservação patrimonial, no entanto nem sempre a partir do efetivo diálogo com a população atingida. Assim, o presente artigo apresenta um panorama geral dessas ações e busca enfatizar a relação das vítimas com os territórios atingidos pelos rejeitos, que se fortalece por meio de práticas socioculturais e movimentos de resistência desenvolvidos por elas desde o desastre. A metodologia inclui pesquisa empírica junto às comunidades atingidas, com destaque para o acompanhamento das festas e dos encontros realizados nos territórios atingidos; coleta de relatos de vítimas do desastre a partir do jornal A Sirene; e pesquisa bibliográfica e documental. Em um contexto de contínua violação de direitos, a luta pelo direito ao patrimônio cultural se expressa na reapropriação dos territórios atingidos enquanto lugares de memórias das vítimas do desastre.
Aplikasi Penggunaan Pupuk Organik Hayati Mikoriza dan Pupuk Kascing Terhadap Pertumbuhan dan Hasil Tanaman Jagung Ungu (Zea mays L.)
Authors: Firmansyah M. Rizal , Makhziah Makhziah , Moeljani Ida Retno
Published: May 2024

Jagung ungu (Zea mays L.) merupakan salah satu tanaman pangan yang memiliki banyak sekali manfaat untuk tubuh serta memiliki nilai jual yang tinggi namun memiliki produktivitas yang rendah. Salah satu faktor penyebab rendahnya kuantitas produksi ini dapat diatasi dengan melakukan pemberian pupuk organik pada tanaman jagung ungu. Penelitian ini dilaksanakan di lahan pertanian warga, Jl. Made Utara, Kecamatan Sambikerep, Kota Surabaya, Jawa Timur pada bulan juli hingga september 2023. Penelitian ini menggunakan Rancangan Acak Kelompok Faktorial (RAKF) 3 x 3 dengan tiga ulangan. Faktor pertama adalah pupuk organik hayati mikoriza dengan dosis 5 g/tanaman, 10 g/tanaman, dan 15 g/tanaman, sedangkan faktor kedua adalah pupuk kascing dengan dosis 45 g/tanaman, 67 g/tanaman, dan 90 g/tanaman. Hasil dari penelitian yang telah dilakukan menunjukan bahwa terdapat interaksi pada parameter tinggi tanaman dan bobot tongkol dengan klobot. Secara terpisah pupuk organik hayati mikoriza dan pupuk kascing memberikan pengaruh nyata terhadap parameter waktu muncul bunga, berat kering brangkasan per tanaman, dan berat pipilan kering per 1000 butir.
An Exploring Rewards Systems and Turnover Intention among Malaysian Private University Academics: The Role of Continuance Commitment as a Mediator
Authors: Farhan Yusuf , Ismail Irzan Bin , Md Razak Mohamad Idham
Published: May 2024

This research employed an empirical approach in overviewing the relationship between five independent variables namely, remuneration, work-life balance, supervisor support, and employee recognition and the intention of turnover by means of employees' continuance commitment. The study comprises a total of 331 academics from the four private universities that were selected. This study utilized a structured survey to collect data, drawing on publicly available literature to inform the survey's design. Building upon a comprehensive review of existing literature, the survey instrument was tailored to address the specific research objectives of this study, incorporating modifications as deemed necessary. The analysis presented in this chapter offers a detailed examination of both the measurement and structural models employed in the study. The measurement model rigorously assessed the reliability and validity of the measurement instruments, ensuring that indicators met established criteria for accuracy and precision. Subsequent Structural Equation Modeling (SEM) analyses revealed that neither direct nor mediated paths achieved statistical significance, indicating a lack of empirical support for the hypothesized relationships among the variables under investigation. This comprehensive evaluation provides valuable insights into the methodological rigor of the study and highlights avenues for future research exploration.
La neurogastronomía y su influencia en la experiencia del comensal
Authors:   Instituto Superior Tecnológico Internacional, Ecuador, González Morales Diego Hernán
Published: May 2024

La Neurogastronomía, una disciplina que combina ciencia, arte culinario y emociones, ha surgido como un campo interdisciplinario relevante en la gastronomía actual. A través de investigaciones diversas, se ha demostrado su influencia en la experiencia del comensal, destacando su capacidad para revalorizar la gastronomía ancestral y preservar tradiciones culinarias únicas. Además, la Neurogastronomía se revela eficaz en la innovación culinaria al estimular los sentidos del comensal a través de la cocina sensorial. Asimismo, se aplica con éxito en la pastelería, fortaleciendo relaciones interpersonales mediante el diseño emocional de postres. También, ha dejado su huella en la mixología moderna, optimizando la percepción sensorial en cócteles y bebidas. Por último, el neuromarketing aplicado a la gastronomía muestra cómo el conocimiento de los patrones mentales y emocionales del consumidor influye en sus decisiones de compra en restaurantes. En resumen, la Neurogastronomía enriquece la experiencia culinaria, preserva la cultura gastronómica, impulsa la innovación y orienta estrategias de marketing en la industria alimentaria, con un futuro prometedor en la relación entre los comensales y la comida.
Reducción de desperdicio de alimentos en la cadena de procesamiento: estrategias y beneficios
Authors:   Instituto Superior Tecnológico Internacional, Ecuador, Manobanda Jiménez Grace Elizabeth
Published: May 2024

Reducir las pérdidas de alimentos en la cadena de producción es un desafío complejo con impactos positivos tanto en la economía como en el medio ambiente. Estrategias que incluyen tecnologías avanzadas de conservación y procesamiento, así como enfoques eficientes en el diseño de envases, pueden reducir de manera significativa las pérdidas alimentarias. La implementación de prácticas como la fabricación esbelta y la gestión de riesgos operativos puede optimizar la cadena de suministro. En el ámbito político, la colaboración voluntaria entre empresas de distribución y entidades gubernamentales puede establecer un marco regulatorio favorable. A nivel social, la sensibilización y la capacitación desempeñan un papel crucial, como se evidencia en iniciativas empresariales en España. Los beneficios de estas acciones abarcan la reducción del impacto ambiental, la mejora de la eficiencia económica y la promoción de la equidad en la cadena de suministro alimentario. Además, la tecnología de la información ofrece soluciones para el monitoreo en tiempo real y la gestión efectiva que contribuyen a reducir el desperdicio de alimentos. En conclusión, la combinación de innovación tecnológica, compromiso político y responsabilidad social puede llevar a una disminución significativa del desperdicio de alimentos, con implicaciones que trascienden la esfera alimentaria y tienen un impacto en el desarrollo sostenible.
Seguridad en desarrollo web: mejores prácticas para proteger aplicaciones y datos
Authors:   Instituto Superior Tecnológico Internacional, Ecuador, Ramírez Patajalo Gustavo Andrés
Published: May 2024

En un contexto digital cada vez más interconectado y propenso a amenazas cibernéticas, la seguridad en el desarrollo web y la implementación de mejores prácticas para proteger aplicaciones y datos han emergido como una necesidad imperante. La revisión exhaustiva de la literatura revela que adoptar enfoques sólidos de seguridad desde las etapas iniciales del desarrollo es esencial para garantizar la integridad y confidencialidad en un entorno virtual. El Open Web Application Security Project (OWASP) se destaca como una guía fundamental, con un consenso unánime en su relevancia en casi el 85% de los trabajos revisados. Los principios establecidos por OWASP, junto con la atención a las diez principales vulnerabilidades identificadas, se perfilan como un enfoque efectivo para mitigar los riesgos más comunes en las aplicaciones web. La autenticación multifactor y el uso de técnicas de cifrado se reconocen como estrategias esenciales para prevenir accesos no autorizados y salvaguardar datos sensibles. Además, las pruebas de penetración y las auditorías de seguridad regulares, que alcanzan aproximadamente un 55% de consenso, emergen como medios cruciales para identificar y remediar posibles debilidades. La educación y concientización del personal de desarrollo, con un enfoque en buenas prácticas, se considera un factor determinante para una implementación efectiva de la seguridad.