bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPACTO DA DIABETES TIPO 2 EM PACIENTES PEDIÁTRICOS
Authors: Maracajá Natássia de Oliveira , Freire Ellen Vitória Rodrigues De Lima , Santos Thayse Souza dos , Oliveira Alyne Vasconcelos de , Santos Kaline Malu Gerônimo Silva dos , Oliveira Laís Leite , Nunes Mateus Augusto Ferreira , Cruz Lorena Correia Santa , Ferreira Natália Fonseca , Braga Renan Barros , Mendes Nagela de Oliveira
Published: August 2024

A diabetes tipo 2, anteriormente exclusiva de adultos, preocupa crianças no Brasil, associada à obesidade infantil. Em jovens, envolve resistência à insulina e falência acelerada das células beta, necessitando de abordagens específicas para diagnóstico e tratamento. A progressão rápida da doença em crianças exige intervenções multifacetadas, como mudanças no estilo de vida e tratamentos farmacológicos. A eficácia dessas intervenções é limitada, destacando a necessidade de novas abordagens. Fatores de risco incluem obesidade, histórico familiar e componentes da síndrome metabólica. A diabetes tipo 2 também afeta a saúde bucal, aumentando o risco de problemas periodontais. A transição dos cuidados pediátricos para adultos deve ser bem organizada, com abordagem multidisciplinar e envolvimento familiar. Medidas preventivas, como intervenções nos primeiros 1000 dias de vida e promoção de atividade física e alimentação equilibrada, são essenciais. Este estudo é uma revisão integrativa qualitativa, sintetizando conhecimento para aplicação prática. Utilizando a metodologia PICO, a pesquisa focou no impacto do diagnóstico e manejo da diabetes tipo 2 em pacientes pediátricos, realizada nas bases BVS e PubMed, com descritores específicos e critérios rigorosos de inclusão. Foram identificados 3.929 registros, reduzidos a 122 após filtragem, com 12 incorporados na revisão integrativa. Estudos mostram que intervenções como dietas restritivas, exercício físico e suporte psicológico são essenciais. Tratamentos farmacológicos, como empagliflozina e insulina glargina, mostraram eficácia no controle glicêmico. O envolvimento familiar e abordagens preventivas robustas melhoram a qualidade de vida e mitigam complicações. O manejo da diabetes tipo 2 em crianças é complexo, exigindo intervenções multifacetadas e preventivas.
RELACIÓN DEL DETERIORO COGNITIVO CON NIVEL DE ADAPTACIÓN EN EL MODO FUNCIÓN DEL ROL EN EL ADULTO MAYOR EN TRES COMUNIDADES DE HIDALGO, MÉXICO
Authors: Flores Miriam Ibeth Aguilar , Hernández Erika Bautista , Preciado Daneli Reyes , Nolasco Benjamín López , Sanchez Ariana Maya
Published: August 2024

Este articulo sitúa al adulto mayor el deterioro cognitivo y nivel de adaptación, su objetivo fue identificar si existe relación del deterioro cognitivo con nivel de adaptación en el modo función del rol en el adulto mayor en tres comunidades de Hidalgo, México. Metodología: Investigación    con    enfoque    cuantitativo, diseño transversal, retrospectivo, no experimental y con alcance correlacional. El estudio fue realizado en el periodo de diciembre 2021 a marzo 2022.En las 3 comunidades de Hidalgo, Mexico.Resultados: En la variable Deterioro cognitivo, el nivel que más predomina en las tres comunidades es el nivel normal con un 64.2% (f=249,y de acuerdo a los resultados del nivel de adaptación del modo función del rol de la población de estudio, el  nivel compensatorio es el más destacado con un 55.4% (f=215).Conclusión: Con base a la prueba estadística se observó que la correlación fue nula y no existe relación del deterioro cognitivo con el modo función del rol, se vuelve necesaria la investigación en la población adulta mayor en cuanto al deterioro cognitivo de igual manera el nivel de adaptación en el modo función del rol.
Aktuálne výzvy vo výučbe nadaných žiakov – perspektívy a prístupy
Authors:   Katedra pedagogiky a psychológie, Katolícka univerzita v Ružomberku, Pedagogická fakulta, Siváková Gabriela
Published: August 2024

The present study deals with gifted pupils, who constitute a specific group in our schools. They differ from other pupils with IQs below the gifted level not only in cognitive abilities but also in specific behavioural characteristics. It is therefore necessary for educators to be aware of their gifts, as well as ways of working effectively with them and meeting their distinctive needs. The aim of this study is to highlight the need to identify these pupils and the importance of early recognition of their specific needs. At the same time, the study aims to underline the importance of raising awareness of the needs and possibilities of support for these pupils and to highlight the need for specialised educational programmes as well as the need for adequate diagnosis and support.
Pripravenosť učiteľov zvládať problémové správanie žiakov v inkluzívnom prostredí školy
Authors:   Katedra pedagogiky, Univerzita Komenského v Bratislave, Pedagogická fakulta, Zemančíková Vladimíra
Published: August 2024

Various studies have highlighted several issues related to the emotional and social aspects of educating students with disabilities (Cavioni, Grazzani, Ornaghi, 2017; Schiff & Joshi, 2016; Murray a Greenberg, 2006). Pupils with special educational needs are more likely to experience problem behaviors than their intact peers. Slovak teachers, like teachers in other OECD countries, perceive the management of pupil behavior in the classroom as a particularly challenging task, and they particularly perceive the need for further training in strategies for managing disruptive behavior in pupils with special educational needs (Hall, et al., 2019). The paper presents selected findings of research on the educational needs of classroom teachers in Slovakia (Zemančíková, Poliaková, 2024) and selected results of teachers' subjectively perceived competence to educate inclusively (Vravcová, 2024), in the context of the topic of problematic behavior of pupils. The paper will conclude by presenting universal preventive-educational programs as one of the effective means supporting the creation of a safe environment of an inclusive classroom, the benefits of which include minimizing the occurrence of problem behaviors.
Online rizikové správanie žiakov – aktuálne trendy a možnosti prevencie a riešenia v školách
Authors:   Katedra pedagogiky a andragogiky, Univerzita Mateja Bela v Banskej Bystrici, Pedagogická fakulta, Niklová Miriam
Published: August 2024

On the one hand, children and youth are among the most numerous and active users of social media, on the other hand, they are also the most risky group due to the fact that they cannot always critically select the information that the media offers them. The Internet environment creates opportunities for the emergence of risky behavior such as cyberbullying, sexting, addictive behavior in relation to the Internet, compulsive playing of online games, intolerant and racist expressions in the Internet environment, cybersex and other forms of inappropriate behavior that can determine the insufficient development of a child. In Slovakia, as well as abroad, there is a trend of an increase in the risky behavior of pupils, which the authors of the study will point out in its introduction in the theoretical-empirical reflection. More and more experts point to the need to pay more attention to the prevention and solution of risky online behavior. In the article, we will present a model of prevention and solutions in the school environment with regard to cyberbullying of students.
Činitele pôsobiace na bezpečnosť školského prostredia
Authors:   Katolícka univerzita v Ružomberku, Pedagogická fakulta, Petlák Erich
Published: August 2024

In this paper, the author discusses the nature of school safety. He reminds of Maslow's pyramid, which attributes the importance of safety for the creative activity of man. School safety is a significant phenomenon, it involves many aspects and therefore it is as if hidden to observers and teachers alike. Its impact is not only on the educational side, but also greatly affects and influences the learning activities of the pupils. The truth is that the situation in society has changed fundamentally in recent decades, which also affects the younger generation. Therefore, safety issues are also becoming increasingly communicated in society, not just in professional circles. After emphasizing the above, in this paper the author reflects on the possibilities of improving the safety of schools by influencing the students. He points out that there are so many methods of action that they are basically too many to count. The paper stresses that there is no need to expand the range of educational methods, but above all to keep in mind the creation of good schools, that is, schools in which pupils and teachers are one community that cares about a high quality of life for the good of everyone.
Bezpečnosť školského prostredia – vonkajšie a vnútorné vplyvy
Authors:   Katedra pedagogiky, Univerzita Komenského v Bratislave, Pedagogická fakulta, Danek Ján
Published: August 2024

The study deals with analysis and evaluation of external and internal influences for security on schools. On the backround of general social security and safety situation are solved the measures and conditions of narrower and wider anvironment on line of protection od schools. On relation of these influences are evaluated and fixed the tasks of schools for its internal and external security. By tasks of management, pedagogical, expertal, technical and administrative employees and pupils of school. In relation of external and internal conditions and measures is created an assumption for need security of schools, pupils and its employees too.
Could school programs based on social-emotional learning prevent substance abuse among adolescents?
Authors: Castaldelli-Maia João Mauricio , Matakas Nicolas Kohatsu
Published: August 2024

In this editorial, we comment on the article Adolescent suicide risk factors and the integration of social-emotional skills in school-based prevention programs by Liu et al . While the article focused on the issue of suicide and social-emotional learning programs as a possible intervention, we here discuss evidence of other reported outcomes and if it could be an effective way to prevent substance abuse among adolescents.
Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment
Authors: Okpete Uchenna Esther , Byeon Haewon
Published: August 2024

Precision medicine is transforming psychiatric treatment by tailoring personalized healthcare interventions based on clinical, genetic, environmental, and lifestyle factors to optimize medication management. This study investigates how artificial intelligence (AI) and machine learning (ML) can address key challenges in integrating pharmacogenomics (PGx) into psychiatric care. In this integration, AI analyzes vast genomic datasets to identify genetic markers linked to psychiatric conditions. AI-driven models integrating genomic, clinical, and demographic data demonstrated high accuracy in predicting treatment outcomes for major depressive disorder and bipolar disorder. This study also examines the pressing challenges and provides strategic directions for integrating AI and ML in genomic psychiatry, highlighting the importance of ethical considerations and the need for personalized treatment. Effective implementation of AI-driven clinical decision support systems within electronic health records is crucial for translating PGx into routine psychiatric care. Future research should focus on developing enhanced AI-driven predictive models, privacy-preserving data exchange, and robust informatics systems to optimize patient outcomes and advance precision medicine in psychiatry.
Cognitive impairment in patients with bipolar disorder alone versus those with bipolar disorder comorbid with borderline personality disorder
Authors: Wang Chao-Min , Xue Hua , Xin Bo , Zhang Kun , Wang Shuo , Wang Jin-Cheng , An Cui-Xia , Li Na
Published: August 2024

BACKGROUND

Bipolar disorder (BD) is a severe mental illness. BD often coexists with borderline personality disorders, making the condition more complex.

AIM

To explore the differences in cognitive impairment between patients with BD and those with BD comorbid with borderline personality disorder.

METHODS

Eighty patients with BD and comorbid borderline personality disorder and 80 patients with BD alone were included in groups A and B, respectively, and 80 healthy volunteers were included as controls. Cognitive function in each group was evaluated using the Chinese version of the repeatable battery for the assessment of neuropsychological status (RBANS), the Stroop color-word test, and the Wechsler intelligence scale-revised (WAIS-RC).

RESULTS

The indices of the RBANS, Stroop color-word test, and WAIS-RC in groups A and B were significantly lower than those of the control group (P < 0.05). Group A had significantly longer Stroop color-word test times for single-character, single-color, double-character, and double-color, lower scores of immediate memory, visual breadth, verbal function dimensions and total score of the RBANS, as well as lower scores of verbal IQ, performance IQ, and overall IQ of the WAIS-RC compared with group B (P < 0.05). Compared to group B, group A exhibited significantly longer single-character time, single-color time, double-character time, and double-color time in the Stroop color-word test (P < 0.05).

CONCLUSION

The cognitive function of patients with BD complicated with borderline personality disorder is lower than that of patients with BD.
Effect of infarct location and volume on cognitive dysfunction in elderly patients with acute insular cerebral infarction
Authors: Liang Fei-Fei , Liu Xiao-Xia , Liu Jiang-Hong , Gao Yang , Dai Jian-Guo , Sun Zi-Hui
Published: August 2024

BACKGROUND

The aging of the population has become increasingly obvious in recent years, and the incidence of cerebral infarction has shown an increasing trend annually, with high death and disability rates.

AIM

To analyze the effects of infarct location and volume on cognitive dysfunction in elderly patients with acute insular cerebral infarction.

METHODS

Between January 2020 and December 2023, we treated 98 cases of elderly acute insula, patients with cerebral infarction in the cerebral infarction acute phase (3-4 weeks) and for the course of 6 months in Montreal Cognitive Assessment Scale (MoCA) for screening of cognition. Notably, 58 and 40 patients were placed in the cognitive impairment group and without-cognitive impairment group, respectively. In patients with cerebral infarction, magnetic resonance imaging was used to screen and clearly analyze the MoCA scores of two groups of patients with different infarctions, the relationship between the parts of the infarction volume, and analysis of acute insula cognitive disorder in elderly patients with cerebral infarction and the relationship between the two.

RESULTS

The number of patients with cognitive impairment in the basal ganglia and thalamus was significantly higher than that without cognitive impairment (P < 0.05). The total infarct volume in the cognitive impairment group was higher than that in the non-cognitive impairment group, and the difference was statistically significant (P < 0.05). The infarct volumes at different sites in the cognitive impairment group was higher than in the non-cognitive impairment group (P < 0.05). In the cognitive impairment group, the infarct volumes in the basal ganglia, thalamus, and mixed lesions were negatively correlated with the total MoCA score, with correlation coefficients of -0.67, -0.73, and -0.77, respectively.

CONCLUSION

In elderly patients with acute insular infarction, infarction in the basal ganglia, thalamus, and mixed lesions were more likely to lead to cognitive dysfunction than in other areas, and patients with large infarct volumes were more likely to develop cognitive dysfunction. The infarct volume in the basal ganglia, thalamus, and mixed lesions was significantly negatively correlated with the MoCA score.
Global research trends and hotspots in overweight/obese comorbid with depression among children and adolescents: A bibliometric analysis
Authors: Wang Ya-Qi , Wu Tao-Tao , Li Yan , Cui Shi-En , Li Ying-Shuai
Published: August 2024

BACKGROUND

Overweight/obesity combined with depression among children and adolescents (ODCA) is a global concern. The bidirectional relationship between depression and overweight/obesity often leads to their comorbidity. Childhood and adolescence represent critical periods for physical and psychological development, during which the comorbidity of overweight/obesity and depression may increase the risk of adverse health outcomes.

AIM

To evaluate the relationship between ODCA, we conduct a bibliometric analysis to aid in formulating prevention and treatment strategies.

METHODS

From 2004 to 2023, articles related to ODCA were selected using the Science Citation Index Expanded from the Web of Science Core Collection. Bibliometric analysis of relevant publications, including countries/regions, institutions, authors, journals, references, and keywords, was conducted using the online bibliometric analysis platforms, CiteSpace, VOSviewer, and bibliometrix.

RESULTS

Between 2004 and 2023, a total of 1573 articles were published on ODCA. The United States has made leading contributions in this field, with Harvard University emerging as the leading contributor in terms of research output, and Tanofsky being the most prolific author. The J Adolescent Health has shown significant activity in this domain. Based on the results of the keyword and reference analyses, inequality, adverse childhood experiences, and comorbidities have become hot topics in ODCA. Moreover, the impact of balanced-related behavior and exploration of the biological mechanisms, including the potential role of key adipocytokines and lipokines, as well as inflammation in ODCA, have emerged as frontier topics.

CONCLUSION

The trend of a significant increase in ODCA publications is expected to continue. The research findings will contribute to elucidating the pathogenic mechanisms of ODCA and its prevention and treatment.
Instructor led rotational model: An innovative approach to social work practicums in hospital environments
Authors: Dube Kealey , Grant Stephanie , Fulton Amy , Judge-Stasiak Angela , Oiffer Andrea
Published: August 2024

With the saturation of student practicum placements requests in urban centres, job vacancies, budgetary restraints, and social workers’ intensive workloads, field education coordination teams are increasingly challenged to find social workers who are able to supervise student practicums and secure educational partnerships with organizations willing to support their staff in doing so. This is especially true in hospital settings, where social workers are still feeling the effects of the Coronavirus (COVID-19) pandemic in their daily work lives. Hospital practicums are highly sought out by social work students and yet there are few practicum opportunities for students compared to the demand. Social workers are employed in various practice settings, including hospital social work. As social workers are Canada's largest group of mental health professionals within the hospital system, having robust and sustainable practicum opportunities is critical to the training and development of future social workers. To address these ongoing challenges in social work field education, the University of Calgary, MacEwan University, and Alberta Health Services worked together to develop and pilot a new practicum model at the Bachelor of Social Work level. This practicum model, titled the ‘Instructor Led Rotational Model’, was implemented as a pilot project during the winter 2023 semester. This article provides an overview of this initiative, including a description of innovative practice education components and discussion of the challenges in field education that the model aims to address. Considerations for revisions and future offerings of the instructor led practicum model are also identified.
Student voices within Indigenous social work practicum recommendations and the Seven Grandfather Teachings
Authors: Goss Dawn , Wabie Joey-Lynn , Montreuil Michelle , Noland Shaelynn , Scott Andrea , Haramincic Arijana
Published: August 2024

This article examines the integration of Indigenous perspectives, particularly the Seven Grandfather Teachings, in Indigenous social work education and field practicum, focusing on student experiences. Colonization has had significant impacts on Indigenous communities, leading to intergenerational trauma, which calls for the need for culturally appropriate social services. Historically, mainstream social work has been complicit in the oppression and genocide of Indigenous peoples, leading to negative perceptions among Indigenous communities. Western theoretical hegemony in education has marginalized Indigenous perspectives, emphasizing the need for inclusivity. Indigenous social work, rooted in acknowledging colonialism and oppression, promotes self-determination and cultural revitalization, highlighting the importance of Indigenization in the profession. Field education is emphasized as crucial for students, encouraging self-reflection and cultural sensitivity. The Seven Grandfather Teachings—love, respect, bravery, honesty, humility, wisdom, and truth—are introduced as guiding principles in ethical behaviour and relationships. The integration of these teachings into coursework and practicum experiences is highlighted, aiming to prepare students for culturally responsive social work practice. Student narratives are utilized to illustrate personal experiences and the application of the teachings in real-world settings. Overall, the article underscores the importance of cultural competency, self-reflection, and community engagement in addressing the unique needs of Indigenous peoples in social work practice.
Social work practicum students experiences, challenges, and aspirations during the COVID-19 pandemic
Authors: Drolet Julie , Salim Saleema , Choudhury Mahed , Nicholas David , McKee Eileen , Walsh Christine , Charles Grant
Published: August 2024

Field education is considered the signature pedagogy of social work education, yet there are numerous challenges including a shortage of field instructors and available placements and barriers to advancing equity, diversity and inclusion (EDI), which were heightened by the COVID-19 pandemic. This articles shares the results of research designed  to investigate practicum students’ experiences, challenges, and aspirations during the first wave of the COVID-19 pandemic. This study aimed to answer the question: how did students’ experiences, challenges, needs, and aspirations vary due to their identity factors (e.g., gender and ethnicity), post-secondary institution (e.g., universities), and placement types (e.g., clinical/research)? To this end, a cross-sectional web-based survey was conducted to document the perspectives of BSW/MSW practicum students in Canada, with both open and close-ended questions. This article presents the survey results to two open-ended questions in three broad themes, namely mental health and wellness, students’ perception on field learning, and professional readiness. Female students across different ethnic groups reported challenges in balancing their gendered roles and responsibilities in caregiving and as a practicum student, which consequently impacted their mental health and wellness. Two major factors shaped practicum student learning, such as post-secondary institution (e.g., universities) and types of placements. Due to the pandemic, practicum students were unable to gain direct practice experience in person in their placement, which affected their perception of professional readiness. This article concludes that through an evidence-informed institutional and programmatic response and support, diverse challenges, needs, and aspirations of practicum students could be addressed to promote EDI in field education in the context of pandemics, emergencies, and disasters.
Skill Education under NEP 2020: A Pathway to Enhanced Employability and Economic Growth
Authors:   Jr. Project Fellow, Regional Institute of Education (NCERT) Bhopal, Patil Dr. Dharmendra
Published: August 2024

The National Education Policy (NEP) 2020 marks a pivotal shift in the Indian education system by integrating skill education to boost student employability and foster economic growth. This study evaluates the impact of NEP 2020's skill education strategies on job readiness and their broader economic implications. Through policy document analysis, educational frameworks, and empirical data, this research reveals how NEP 2020 aligns educational outcomes with industry requirements. Findings suggest that the policy’s emphasis on vocational training, experiential learning, and competency-based education effectively enhances graduate employability. Additionally, NEP 2020’s focus on lifelong learning and adaptability prepares students for a dynamic job market, contributing to economic development. This paper underscores NEP 2020's role in reshaping India's educational landscape and cultivating a workforce ready for the 21st-century economy. Keywords: NEP 2020, Skill Education, Employability Skills, Hands-on Practice, Transformation, NCERT, NCVT
Implementing Privacy Preserving Techniques in Distributed Big Data Framework on Cloud Computing
Authors: Kumar Anurag , Kumari Prof. Bibha
Published: August 2024

Cloud-based deployment architectures have emerged as the preferred model for Big Data operations due to their scalability, flexibility, and cost-effectiveness. However, this shift raises new security concerns as data is no longer directly under the user's control. Securing Big Data in cloud environments is crucial for widespread adoption, but developing a comprehensive security plan is challenging without a thorough analysis of potential vulnerabilities.To address this, a novel security-by-design framework for Big Data deployment on cloud computing, termed Big Cloud, is proposed in this article. The framework leverages systematic security analysis methodologies and automated assessment tools to map domain-specific security knowledge to design best practices. Validation of the framework was conducted through an Apache Hadoop stack use case, demonstrating its effectiveness in enhancing security awareness and reducing design time.The study also evaluates the framework's strengths and limitations, identifying key challenges in the Big Cloud domain.
Integrated Application for Paddy Disease Detection and Remedy Suggestion
Authors:   Student Department of ,Electronics and Communication Engineering, UBDT College of Engineering, Davangere,  Karnataka, India, Negalur Soundarya B , Murthy S K Dr. Shreedhar ,   Professor, Department of Electronics and Communication Engineering, UBDT College of Engineering, Davangere,  Karnataka, India
Published: August 2024

In India, agriculture is the backbone of rural communities, with the majority of villagers relying on it as their primary livelihood. However, challenges such as disease management, soil quality assessment, and weed control often limit productivity. While Kisan call centers provide essential support, their effectiveness is constrained by communication barriers and the limitations of verbal explanations. This paper proposes an innovative solution through a machine learning- based mobile application designed specifically for farmers. The app enables users to upload images of paddy disease symptoms, soil test results, and weeds for analysis. Leveraging advanced algorithms, it provides automated, data- driven recommendations for disease control, crop management, and soil improvement. The app also offers local language interfaces, making it accessible to less educated farmers. By continuously refining its decision-making capabilities through user feedback, the app evolves to meet the specific needs of different regions and farming practices. This approach not only enhances efficiency and productivity but also empowers farmers with immediate, reliable expert advice, bridging the gap between traditional practices and modern technology. Ultimately, the application aims to significantly improve agricultural outcomes, contributing to the sustainability and growth of the farming sector in India. Key Words: Paddy crop disease, Integrated, Application, suggestion, soil, weeds, resolution etc.
Traditional Herbal Drug Approach used in the Treatment of Asthma: A Review
Authors:   Department of Pharmacy, Banasthali Vidyapith, Rajasthan- 304 022, India, BANERJEE RADHA
Published: August 2024

Asthma is a persistent inflammatory disease of the lower respiratory airway where the tracheobronchial smooth muscles of the lungs become tremendously narrow due to various causative agents like virus, allergens, exercise and become extremely responsive which leads to increase in secretions, mucosal oedema and mucus plugging. This results in repeating episodes of dyspnoea, wheezing, chest tightness, breathlessness, and coughing which might limit a person’s ability to work and function depending on the time and intensity of the episode. WHO’s assessment suggests that more than 339 million individuals had Asthma internationally and there were 417,918 deaths because of asthma worldwide in 2016. A review affirms that 1 out of every 10 Asthma patients are from India. Asthma can have various etiologies and types. The treatment involves Anticholinergics, corticosteroids, β2 agonists, Xanthine drugs. These oral administration drugs are effective but come with their own respective side effects to some extent. Since ancient times the mankind has always turned to natural substances to cure various diseases and ailments. In a similar manner, Asthma treatment is also seeing new advances with the use of traditional herbal drugs from various plant sources. They work in various complex mechanisms and have very minimal side effects. This review deals with Mangifera indica and Laurus nobilis as treatment options for Asthma and the mechanism with which they work. Keywords: Asthma, Mangifera indica, Mangiferin, Vimang, Laurus nobilis, Magnolialide
Café Management System
Authors: Patle Ashwini D , chidam Shubhangi D , Rane Prof. Pooja H
Published: August 2024

The Café Management System (CMS) project is designed to revolutionize the traditional café operations by integrating digital solutions to streamline management processes and enhance customer experiences. This thesis explores the development and implementation of a comprehensive CMS, encompassing an Admin Panel, Staff Panel, and Customer Panel. The Admin Panel serves as the central hub for managing the entire system. It includes functionalities such as Staff Management, Product Management, and Customer Management. Admins can efficiently oversee staff schedules, update menu items, and manage customer profiles, ensuring smooth operations. The Staff Panel empowers café employees with tools to improve workflow efficiency. Staff members can take orders, process payments, and generate order reports seamlessly. This panel facilitates better communication and coordination among staff members, resulting in improved service quality. The Customer Panel offers patrons a user- friendly interface to interact with the café digitally. Customers can place orders, make payments, and view order history conveniently. Additionally, they can provide feedback and suggestions, fostering a collaborative relationship between the café and its clientele. Key features of the CMS include order management functionalities such as Place Food Orders and Cancel Orders, facilitating a hassle-free ordering experience for customers. The system also supports secure payment processing and generates detailed receipts for transactions, ensuring transparency and accountability. Furthermore,the CMS provides robust reporting capabilities, allowing administrators to access Order and Payment Reports, as well as view Total Sales data. These insights enable informed decision-making and strategic planning to optimize café performance. Key Words: Payment report, update menu items, food order, cancle order, user friendly interface, Total sales data,Admin panel Services,managing the entire system, staff panel, customer panel, Admin panel,
A Machine Learning Approach for Estimating Crypto Currency Price Trends
Authors: Sheikh Safiya , Sharma Upvan
Published: August 2024

Crypto price prediction is a category of time series prediction which extremely challenging due to the dependence of crypto prices on several financial, socio-economic and political parameters etc. Moreover, small inaccuracies in crypto price predictions may result in huge losses to firms which use crypto price prediction results for financial analysis and investments. Off late, artificial intelligence and machine learning based techniques are being used widely for crypto price prediction due to relatively higher accuracy compared to conventional statistical techniques. The proposed work employs the steepest descent based scaled back propagation algorithm along with the data pre- processing using the discrete wavelet transform (DWT) for crypto price prediction. It has been shown that the proposed system attains lesser mean square percentage error compared to previously existing technique. Keywords—Crypto price Forecasting, Artificial Neural Network (ANN), Back Propagation, Discrete Wavelet Transform (DWT), Mean Absolute Percentage Error (MAPE).
Anti Face Spoofing System
Authors: Journal IJSREM
Published: August 2024

Face spoofing, the act of using deceptive techniques such as printed photos or digital images to deceive facial recognition systems, poses a significant threat to the security of various applications, including biometric authentication and access control systems. This paper presents a concise yet effective approach to address the challenge of anti-face spoofing using Python within a limited codebase of 50 lines. The proposed solution leverages a combination of image processing techniques and machine learning algorithms to detect and prevent face spoofing attempts. A pre-trained deep neural network model for facial recognition is employed to extract essential facial features. Subsequently, the system utilizes image manipulation detection methods to identify anomalies indicative of face spoofing attacks. The implementation showcases the simplicity and efficiency of the proposed anti-face spoofing technique, demonstrating the potential for integration into real- world applications with minimal computational overhead. The concise Python code enables easy adoption and adaptation for developers aiming to enhance the security of facial recognition systems against face spoofing threats. The experimental results demonstrate the effectiveness of the approach in accurately distinguishing between genuine and spoofed facial images, thereby contributing to the robustness of facial recognition systems in the presence of adversarial attacks. Keywords - Liveness Detection, Presentation Attack Detection, Spoof Detection Algorithms, Biometric Security, Face Recognition Robustness, 3D Face Modeling, Texture Analysis, Deep Learning Anti- Spoofing, Multi-Spectral Imaging, Behavioral Biometrics, Challenge-Response Mechanisms, Optical Flow Analysis, Pulse Detection, Surface Reflectance, Depth Sensing, Motion Analysis, Pattern Recognition, Anti-Spoofing Networks, Temporal Feature Extraction, Anomaly Detection.
THE EFFECT OF GOOD CORPORATE GOVERNANCE, LEVERAGE, AND COMPANY SIZE ON THE VALUE OF PROPERTY AND REAL ESTATE SECTOR COMPANIES
Authors: Sarianing Putu Adella , Krisnadewi Komang Ayu
Published: August 2024

This study was meant to uncover the impact of good corporate governance, leverage, and company size on firms' value in the property and real estate sector listed on the Indonesia Stock Exchange for the period 2020-2022. The population taken into consideration in the research is the firm operating in the property and real estate sector listed on the IDX. The sample selection is by purposive sampling with certain criteria so that 81 data samples are obtained to be studied. The present investigation uses secondary data that came from financial records. The analysis of the data in this study was analyzed by utilizing SPSS for Windows software, which has given deep insight into the relationship between variables. According to the findings of the investigation, proper corporate governance represented by managers’ awareness is one of the factors that raise the worth of a business, in that increased stock ownership by management will lead to more motivation for performance improvement hence increasing the firm’s worth. If handled properly and effectively, leverage can enhance organizational value since increased leverage leads to increased company worth. On the other hand, when total assets are seen as being too large by investors who regard it as a bad signal therefore this may lead to decline in company value. Consequently, a negative relationship exist between company size and firm value.
Kampen om broderierne i Danmark 1850-1950
Authors: Rykind-Eriksen Kirsten , Grølsted Esther
Published: August 2024

En kunst- og kulturelite satte i midten af 1800-tallet gang i en dansk kulturkamp ved at proklamere, hvad de anså for den rette æstetik og dannelse, og dermed, hvad kvinder burde brodere. Underliggende var angsten for, at almuen på landet og i byen ville forandre samfundet, og for, at Danmark efter 1864 ikke ville kunne overleve som selvstændig nation. Kunsteliten fremhævede den stiliserede naturalisme og antikkens græske og romerske ornamentik – fra omkring 1900 også Art Nouveau eller det danske Skønvirke. Den nationalt forankrede kulturelite foretrak de gamle danske almuebroderier som udtryk for ‘ægte folkekunst og gode normer’. Over for disse grupperinger stod en ny industrielite, der henvendte sig til et voksende marked og udgav dame- og modeblade hver 14. dag med mønstre til allehånde motiver. Bladene blev hurtigt populære. Overalt i landet blev der broderet efter deres mønstre, som ofte bar præg af tysk indflydelse, noget der ikke huede hverken kunst- eller kultureliten. Men broderende kvinder, såvel anonyme som ivrigt debatterende, tog med støtte fra nogle fremsynede mænd del i en kamp for selverhvervende brodøsers indlejring i dansk erhvervs- og samfundsliv. I bogen stilles der skarpt på almuens broderende kvinder i by og på land og på den rolle, ‘det gode hjem’ spillede i den igangsatte kulturkamp, der med tiden også blev ideologisk. Succesrige erhvervskvinder kom til at spille markant med i den danske kvindebevægelses politiske kamp for ligeret mellem kønnene.
Driving Performance Excellence: Insights from Retail Sector on Transformasional Leadership and Knowledge Sharing Behavior
Authors: Rinawati Rinawati , Sidharta Iwan
Published: August 2024

This research delves into the pivotal role of Knowledge-sharing behavior and Transformational Leadership in enhancing employee performance within the retail sector. By investigating the relationships between these key factors, the study aims to provide valuable insights for optimizing workforce effectiveness and driving organizational success. The research methodology involves a quantitative approach, with data collected through surveys from 96 retail sector employees in Bandung. Instruments validated by reputable researchers were utilized to measure transformative leadership, Knowledge-sharing behavior, and employee performance. Data quality was assessed using outer loading, AVE, Composite Reliability, and Cronbach's Alpha, followed by analysis through Partial Least Squares. The findings are expected to shed light on how fostering a culture of knowledge exchange and implementing transformative leadership practices can positively impact employee performance in the retail industry. Ultimately, this research seeks to offer practical recommendations for retail organizations looking to enhance operational efficiency, employee engagement, and overall performance in a competitive market environment.
A Hybrid Localization Algorithm for Enhanced Accuracy and Robustness in Healthcare Systems
Authors: Nur Siti , Ashfaq Muhammad
Published: August 2024

This paper presents a novel hybrid localization algorithm designed for healthcare systems, integrating Received Signal Strength Indicator (RSSI) and Time of Arrival (ToA) measurements with machine learning techniques. The algorithm aims to enhance the accuracy, robustness, and computational efficiency of sensor localization in dynamic healthcare environments. Experimental results demonstrate that the hybrid algorithm achieves a significantly lower localization error, averaging 0.5 meters, compared to traditional RSSI-only and ToA-only methods. The algorithm's rapid convergence and low computational time make it suitable for real-time applications. Additionally, its robustness to measurement noise, a common challenge in healthcare settings, underscores its reliability. This research underscores the potential of advanced localization technologies to improve patient monitoring, safety, and overall healthcare delivery, with future work poised to further enhance performance and adaptability.
Fighting Fatty Liver Disease: Pathogenesis and Therapeutic Approaches
Authors:   Middle technical university, Technical medical Institute _ Baghdad, kadhium Athraa fouad
Published: August 2024

FLD is a burgeoning international ailment closely associated with the increasing rates of obesity, type II diabetes mellitus and physical inactivity. This review focuses on the various aspects of FLD pathophysiology including genetic susceptibility, metabolic disturbances, inflammation, oxidative stress, and environmental factors. Diagnostic tests can be simple and non-invasive such as imaging and biomarkers and can be relatively invasive, such as liver biopsies. Currently the treatment focus is made on drug and surgical interventions with lifestyle changes, and besides, gene and stem cell therapies remain an experimental method with fewer evidences. The article points to the problems of patient compliance, adequate diagnostics, and effectiveness of the treatment, the necessity of working on the concept of individualized medicine, new therapeutic strategies, and prevention. A statically and working knowledge and a combination and complex strategy are required to approach and decrease the burden of FLD worldwide.
EFFECT OF INVESTIGATIVE AUDIT ON FRAUD PREVENTION THROUGH PROFESSIONAL COMPETENCE AND PRUDENCE AS AN INTERVENING VARIABLE
Authors: Purba Rahima Br , Pitaloka Kikin , Maisyarah Renny
Published: August 2024

This study aims to determine the influence of investigative audit variables on fraud prevention with professional competence and prudence as intervening. The research method used in the study is a quantitative research method with primary data which is from questionnaire data measured using a Likert scale. This research was conducted at the Financial and Development Supervisory Agency, BPKP Representative of North Sumatra Province. The population in this study is all auditor employees as many as 32 people in BPKP North Sumatra Province. The sample collection method uses Saturated Samples with the criteria of an auditor of BPKP North Sumatra Province so that the number of samples obtained is 32 samples. The results of this study stated that: First, the results of regression analysis showed that investigative audits had a positive and significant effect on professional competence and prudence. That is, Ha2 is accepted. Second, the results of regression analysis show that investigative audits have a positive and significant effect on fraud prevention. That is, Ha4 is accepted. Third, the results of regression analysis show that professional competence and prudence have a positive and significant effect on fraud prevention. That is, Ha5 is accepted. Fourth, the results of regression analysis show that professional Competence and Prudence mediate investigative audits against fraud prevention. That is, Ha7 is accepted.
JEL Classification: M41, M42, M48
Outsourcing Practice Processes
Authors: Guiliana John , Baum Neil
Published: August 2024

In recent years we have witnessed the steady erosion of physicians’ incomes. Lately there has been a decrease in reimbursements and an increase in overhead costs, resulting in a further decrease in physicians’ incomes. Few options appear to be available, but raising our fees is not a viable alternative. However, we can identify ways to decrease overhead costs by becoming more efficient and productive without compromising patient care, patient satisfaction, online reputation management, and staff morale. This article discusses the concept of outsourcing various activities in the office, thus reducing overhead costs.
Mathematical Model for Mycobacterium Tuberculosis
Authors: Lawal Jafaar Olasunkanmi , Zhiri Abraham Baba , Muritala Faruk , Ibrahim Risqot Garba , Lukonde Alpha Peter
Published: August 2024

To demonstrate the dynamics of the Mycobacterium tuberculosis disease population, a mathematical model was presented. The model has five compartments, and the resulting equations were resolved. While multiple cases of illness transmission were simulated using the compartmental model of infectious disease spread for a structured population model, the fundamental reproduction number was found using the next-generation matrix. Based on the results of the simulations, the system’s disease-free and endemic equilibrium was created by presenting, analyzing, and graphing the various subpopulations across time. The Homotopy Perturbation Method (HPM) analytical technique was then used to resolve the model.
Estratégias para a Transformação Digital do Varejo: um estudo de caso de uma grande rede de lojas de calçados
Authors: Dornela Goulart Diocelio , Carvalho Rodrigo Baroni de , Castro João Paulo de Souza , Guimarães Liliane de Oliveira , Pereira Bianka Alves Pinheiro de Assis
Published: August 2024

Objetivo do estudo: Este artigo avaliou o processo de desenvolvimento de estratégias para a transformação digital de uma organização do varejo calçadista, durante a pandemia do COVID-19. Considera-se que as novas estratégias podem ter contribuído para o desenvolvimento de novas capacidades digitais.
Metodologia: Utilizou-se pesquisa qualitativa com o método de estudo de caso. Os dados foram coletados por meio de entrevistas e documentos, aplicando a análise de conteúdo com definição de categorias mistas.
Originalidade/Relevância: O artigo traz uma proposta de esquema interpretativo para entendimento dos processos e práticas de formulação e adoção de estratégias para a Transformação Digital.
Principais resultados: Os resultados da pesquisa demonstram que o enfrentamento da pandemia do COVID-19 contribuiu para uma mudança de posicionamento da organização e a adoção de novas estratégias (emergentes e deliberadas), novas capacidades e desenvolvimento da transformação digital.
Contribuições teóricas/metodológicas: o artigo contribui para endereçar potenciais lacunas do domínio específico da pesquisa da estratégia como prática por meio de um caso empírico em um contexto de crise e acelerada transformação digital.
Contribuições sociais para a gestão: A organização pesquisada promoveu mudanças estratégicas e com resultados econômicos expressivos, adotando novas metodologias, como o uso dos OKRs ao seu processo estratégico existente. Esta compreensão pode auxiliar negócios do varejo na aceleração da transformação digital como forma de enfrentar contingências.
Matajai (Voy a matar)
Authors: Hernandez Davila Josue Manuel
Published: August 2024

El presente cuento trata sobre la venganza entre los pueblos Awajún y Wampis cuyo personaje principal es Tsamajain, niño Awajún que a la edad de 7 años le arrebatan los Wampis a su padre quedando huérfano. Con el devenir de los años crece y se convierte en uno de los mejores cazadores. Años posteriores conoce a un viejo, quien quería matar a Sayula, uno de los líderes de los Wampis. Éste convence a Tsamajain de hacerlo y en gratitud entregaría a su única hija Nakuri. Tsamajain logra su objetivo y mata a Sayula. Al final bebe ayahuasca para purificarse, casándose con Nakuri llegando tener una numerosa descendencia.